@prefix dcat: . @prefix dct: . @prefix foaf: . @prefix hydra: . @prefix xsd: . a hydra:PagedCollection ; hydra:firstPage "https://ckan.meghalayadataportal.com/catalog.n3?page=1" ; hydra:itemsPerPage 100 ; hydra:lastPage "https://ckan.meghalayadataportal.com/catalog.n3?page=1" ; hydra:totalItems 46 . a dcat:Catalog ; dct:language "en" ; dct:modified "2024-12-03T17:24:34.008171"^^xsd:dateTime ; dct:title "Meghalaya Data portal" ; dcat:dataset , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ; foaf:homepage . a dcat:Dataset ; dct:description "The Input Survey dataset, managed by the Department of Agriculture, Cooperation & Farmers Welfare (DAC&FW), is an essential tool that captures data related to agricultural inputs across India. This survey delves into various aspects of farming, detailing the usage of seeds, fertilizers, pesticides, machinery, irrigation methods, and other critical agricultural resources. By collecting this data periodically, the dataset offers insights into the evolving patterns of input utilization, facilitating the identification of trends, gaps, and potential areas of improvement. Policymakers, researchers, and agricultural stakeholders rely on the Input Survey dataset to devise strategies, frame policies, and implement interventions that aim to enhance the efficiency and sustainability of the Indian agricultural sector." ; dct:identifier "0ee77590-fe5b-4d6d-91c3-baad545952a3" ; dct:issued "2024-06-05T11:00:57.425331"^^xsd:dateTime ; dct:modified "2024-06-05T12:01:32.710765"^^xsd:dateTime ; dct:publisher ; dct:title "Input Survey" ; dcat:distribution , ; dcat:landingPage . a dcat:Distribution ; dct:description "The Input Survey - Composite for Meghalaya provides a comprehensive view of agricultural input utilization across different operational holding sizes, offering crucial insights for strategic decision-making in fertilizer production, import, and distribution. This dataset encompasses data on key inputs like chemical fertilizers, HYV seeds, pesticides, along with details on pest control practices, educational backgrounds, and household demographics of operational holders, serving as a valuable resource for policymakers, researchers, and stakeholders in the agricultural sector." ; dct:format "CSV" ; dct:issued "2024-06-05T11:00:59.285198"^^xsd:dateTime ; dct:modified "2024-06-05T12:00:48.546217"^^xsd:dateTime ; dct:title "Input Survey - Composite" ; dcat:accessURL ; dcat:byteSize 597380.0 . a dcat:Distribution ; dct:description "The Input Survey - Non Crop dataset for Meghalaya offers detailed insights into the utilization of agricultural resources across different farm sizes, aiding in production planning, imports, and fertilizer distribution. With variables such as farm size, irrigation data, livestock count, credit usage, and seed type, this dataset serves as a valuable resource for informed decision-making in agricultural policy formulation." ; dct:format "CSV" ; dct:issued "2024-06-05T11:10:47.580598"^^xsd:dateTime ; dct:modified "2024-06-05T12:01:32.716365"^^xsd:dateTime ; dct:title "Input Survey - Non Crop" ; dcat:accessURL ; dcat:byteSize 16883.0 . a dcat:Dataset ; dct:description "The dataset includes information about railway networks in various states or union territories. It provides details such as the year of measurement, the name of the state or union territory, the LGD (Local Government Directory) code, aggregate route length, and the total length of railway tracks." ; dct:identifier "0fd1b2f9-75a3-4ad6-8fa1-4e34b2116092" ; dct:issued "2024-06-05T11:53:18.647692"^^xsd:dateTime ; dct:modified "2024-06-05T12:14:06.680976"^^xsd:dateTime ; dct:publisher ; dct:title "Railway Statistics" ; dcat:distribution ; dcat:landingPage . a dcat:Distribution ; dct:description "The dataset contains information about the railway networks in different states or union territories. It includes details like the year of measurement, the name of the state or union territory, LGD code, aggregate route length, and total length of railway tracks. This dataset specifically focuses on the railway networks in Meghalaya." ; dct:format "CSV" ; dct:issued "2024-06-05T11:53:18.924371"^^xsd:dateTime ; dct:modified "2024-06-05T12:14:06.685579"^^xsd:dateTime ; dct:title "Railway Networks" ; dcat:accessURL ; dcat:byteSize 396.0 . a dcat:Dataset ; dct:description "Climate Vulnerability Indicators dataset carries out vulnerability assessment for India based on various indicators related to infrastructure, agriculture, employment, disease, and the environment. Climate change is a serious threat to socio-economic development globally and in India. Adapting to the present and future impacts of climate change is crucial to secure hard-won gains and increase the resilience of vulnerable communities, in particular for those living in fragile mountain ecosystems." ; dct:identifier "105b13f7-7e34-4524-8b4f-2dde2f8f0d24" ; dct:issued "2024-06-05T16:02:59.634267"^^xsd:dateTime ; dct:modified "2024-06-05T16:04:16.272218"^^xsd:dateTime ; dct:publisher ; dct:title "Climate Vulnerability Indicators" ; dcat:distribution ; dcat:landingPage . a dcat:Distribution ; dct:description "The dataset on Climate Vulnerability Indicators at the district level in Meghalaya assesses the vulnerability of various districts based on indicators related to infrastructure, agriculture, employment, disease, and the environment. Climate change poses a significant threat to socio-economic progress, necessitating proactive adaptation strategies to safeguard achievements and enhance the resilience of communities, especially those residing in delicate mountain ecosystems." ; dct:format "CSV" ; dct:issued "2024-06-05T16:02:59.883825"^^xsd:dateTime ; dct:modified "2024-06-05T16:04:16.277067"^^xsd:dateTime ; dct:title "Climate Vulnerability Indicators District Wise" ; dcat:accessURL ; dcat:byteSize 1411.0 . a dcat:Dataset ; dct:description "The dataset captures the details of debt, investment, and related aspects of households across different states in India. It provides a comprehensive look into the financial expenditure and commitments of households, primarily focusing on capital investments and indebtedness." ; dct:identifier "13dd76c9-d1ff-40ee-9d81-a32273fc02fe" ; dct:issued "2024-06-05T12:43:28.662565"^^xsd:dateTime ; dct:modified "2024-06-05T15:35:13.112061"^^xsd:dateTime ; dct:publisher ; dct:title "Debt and Investment (NSSO)" ; dcat:distribution ; dcat:landingPage . a dcat:Distribution ; dct:description "The dataset offers insights into the financial aspects of households in Meghalaya, India, specifically focusing on debt, investment, and asset analysis. It provides a comprehensive understanding of the financial commitments and capital investments made by households in the region." ; dct:format "CSV" ; dct:issued "2024-06-05T12:43:28.880699"^^xsd:dateTime ; dct:modified "2024-06-05T15:35:13.116849"^^xsd:dateTime ; dct:title "Debt, Investment, and Asset Analysis" ; dcat:accessURL ; dcat:byteSize 1178.0 . a dcat:Dataset ; dct:description "Climate data in India is crucial given the country's diverse topography and climatic zones, which range from the arid deserts of Rajasthan to the wettest places on earth in Himachal Pradesh. The India Meteorological Department (IMD), under the Ministry of Earth Sciences, is the primary agency responsible for meteorological observations, weather forecasting, and seismology. They collect, analyze, and disseminate climate data, which includes parameters like temperature, rainfall, humidity, and wind patterns. This data is vital for sectors like agriculture, water resources, and disaster management in India. Additionally, with the growing concerns of climate change impacting monsoon patterns and causing extreme weather events, the continuous monitoring and analysis of climate data become essential for policy formulation, research, and public awareness. This collection will have datasets that are related to climate like Rainfall, Temperature from various sources etc." ; dct:identifier "1c615683-c98f-4b7f-a008-f4aed1b68af2" ; dct:issued "2024-06-05T11:17:20.838070"^^xsd:dateTime ; dct:modified "2024-12-03T16:38:19.630397"^^xsd:dateTime ; dct:publisher ; dct:title "Climate Data" ; dcat:distribution , , , ; dcat:landingPage . a dcat:Distribution ; dct:description "This dataset contains daily district-level records of normal rainfall, actual rainfall, percentage deviation from normal rainfall, and rainfall storage in Meghalaya. The data, sourced from the Indian Meteorological Department, spans from 2007 to 2022, offering comprehensive insights into the region's precipitation patterns over the years." ; dct:format "CSV" ; dct:issued "2024-12-03T16:31:51.260615"^^xsd:dateTime ; dct:modified "2024-12-03T16:34:45.329661"^^xsd:dateTime ; dct:title "Daily Rainfall Data - District Level" ; dcat:accessURL ; dcat:byteSize 2945113.0 ; dcat:mediaType "text/csv" . a dcat:Distribution ; dct:description "This dataset compiles daily state-level records of normal rainfall, actual rainfall, percentage deviation from normal rainfall, and rainfall storage in Meghalaya. The data, sourced from the Indian Meteorological Department, spans from 2009 to 2024, offering comprehensive insights into the state's precipitation patterns over the years." ; dct:format "CSV" ; dct:issued "2024-06-05T12:44:44.630681"^^xsd:dateTime ; dct:modified "2024-06-05T12:53:00.978457"^^xsd:dateTime ; dct:title "Daily Rainfall at State Level" ; dcat:accessURL ; dcat:byteSize 321055.0 ; dcat:mediaType "text/csv" . a dcat:Distribution ; dct:description "The dataset offers a concise summary of monthly surface normal temperatures from 1969 to 2020 for stations across India, including those in Meghalaya. It also maps these stations to their respective districts and states, along with the LGD State and District Codes, providing valuable insights into long-term temperature patterns in the region." ; dct:format "CSV" ; dct:issued "2024-06-05T11:20:34.683632"^^xsd:dateTime ; dct:modified "2024-06-05T11:27:21.113350"^^xsd:dateTime ; dct:title "Temperature" ; dcat:accessURL ; dcat:byteSize 445268.0 ; dcat:mediaType "text/csv" . a dcat:Distribution ; dct:description "The Rainfall Data dataset summarizes monthly rainfall series from 1969 to 2020 for stations across India, including those in Meghalaya. It also maps these stations to their respective districts and states, along with the LGD State and District Codes, enabling comprehensive analysis of precipitation trends in the region." ; dct:format "CSV" ; dct:issued "2024-06-05T11:17:21.818563"^^xsd:dateTime ; dct:modified "2024-06-05T11:20:27.717123"^^xsd:dateTime ; dct:title "Rainfall Data" ; dcat:accessURL ; dcat:byteSize 186392.0 ; dcat:mediaType "text/csv" . a dcat:Dataset ; dct:identifier "1df0cdda-80c1-439a-aa96-63b8d0a7b8da" ; dct:issued "2024-06-05T11:34:02.446015"^^xsd:dateTime ; dct:modified "2024-06-05T11:34:02.446020"^^xsd:dateTime ; dct:publisher ; dct:title "Health Management Information System (HMIS)" ; dcat:landingPage . a dcat:Dataset ; dct:description "The Price Monitoring package offers a detailed view into the dynamic pricing landscape of essential commodities in India, encompassing both retail and wholesale levels. This comprehensive dataset not only includes daily retail prices from various states but is also set to integrate wholesale price data and additional information from diverse sources. This integration aims to provide a robust framework for analyzing price trends, enabling policymakers, businesses, and consumers to derive actionable insights. By capturing a wide spectrum of pricing data, the package facilitates the development of nuanced strategies to stabilize markets and safeguard consumer interests against price volatility." ; dct:identifier "2c519b66-355d-4def-a999-178664057fe6" ; dct:issued "2024-06-06T06:11:00.459755"^^xsd:dateTime ; dct:modified "2024-12-03T11:57:42.804863"^^xsd:dateTime ; dct:publisher ; dct:title "Price Monitoring" ; dcat:distribution , ; dcat:landingPage . a dcat:Distribution ; dct:description "This dataset contains daily records of retail prices for essential commodities in Meghalya. Each entry includes the date, state name, state code, commodity type, and its price, offering a granular view of the price landscape. The data is crucial for understanding market trends, regional price variations, and the impact of economic policies on commodity prices." ; dct:format "CSV" ; dct:issued "2024-12-03T11:50:42.514538"^^xsd:dateTime ; dct:modified "2024-12-03T11:57:29.498302"^^xsd:dateTime ; dct:title "Daily Retail Prices Of Essential Commodities" ; dcat:accessURL ; dcat:byteSize 3128434.0 . a dcat:Distribution ; dct:description "The dataset provides daily pricing information for various commodities across India at state level. It includes columns for the date, commodity name, and the corresponding average, maximum, minimum, and modal (most frequent) wholesale prices. This dataset is useful for tracking price fluctuations and analyzing market trends for different commodities on a daily basis." ; dct:format "CSV" ; dct:issued "2024-12-03T11:53:16.333009"^^xsd:dateTime ; dct:modified "2024-12-03T11:57:42.809696"^^xsd:dateTime ; dct:title "Wholesale Prices State Level" ; dcat:accessURL ; dcat:byteSize 3487948.0 . a dcat:Dataset ; dct:description "The \"Survey of Industries\" package offers annual data on the economic landscape of different industries. It includes sector-wise analysis, economic indicators, regional insights, policy impacts, comparative assessments, and forecasts. This dataset is valuable for policymakers, economists, analysts, and businesses for understanding industry dynamics and making informed decisions." ; dct:identifier "31d9f2e0-6db2-43a2-9131-9bbb8164fab4" ; dct:issued "2024-06-05T12:36:28.822571"^^xsd:dateTime ; dct:modified "2024-06-05T15:20:50.176571"^^xsd:dateTime ; dct:publisher ; dct:title "Survey of Industries" ; dcat:distribution ; dcat:landingPage . a dcat:Distribution ; dct:description "This dataset compiles essential economic indicators related to industries on a state-wise basis, offering valuable insights into the financial well-being, operational scale, and productivity of various sectors. It provides a comprehensive view of the annual economic landscape of industries, enabling analysis of trends and performance across different states over the years." ; dct:format "CSV" ; dct:issued "2024-06-05T12:36:29.044964"^^xsd:dateTime ; dct:modified "2024-06-05T15:20:50.181034"^^xsd:dateTime ; dct:title "Annual Economic Landscape of Industries" ; dcat:accessURL ; dcat:byteSize 1576.0 . a dcat:Dataset ; dct:description "The Ministry of Corporate Affairs (MCA) curates a rich collection of datasets that illuminate the corporate landscape of India. Within this trove, one can discern the distribution of Indian companies across states, reflecting the pulse of the nation's domestic corporate sector. Equally revealing is the dataset on foreign company registrations, showcasing the global interest and investment in India's diverse regions. Complementing these is the data on Limited Liability Partnerships (LLPs), which offers insights into the choice of this modern business entity across states. Together, these datasets provide a holistic view of India's dynamic business environment, aiding stakeholders in navigating the country's corporate maze." ; dct:identifier "35797e84-2580-4b4b-ac76-445a1b76e688" ; dct:issued "2024-06-05T10:27:43.923927"^^xsd:dateTime ; dct:modified "2024-06-05T11:55:46.888828"^^xsd:dateTime ; dct:publisher ; dct:title "Company Registrations" ; dcat:distribution ; dcat:landingPage . a dcat:Distribution ; dct:description "The dataset provides details of Limited Liability Partnership (LLPs) company registrations in Meghalaya, including registration dates, LLP identification numbers, financial information, industry descriptions, and current LLP status. It offers comprehensive insights into the landscape of LLP registrations and their operational details within the state." ; dct:format "CSV" ; dct:issued "2024-06-05T10:43:07.813450"^^xsd:dateTime ; dct:modified "2024-06-05T11:55:46.893481"^^xsd:dateTime ; dct:title "Limited Liability Partnership(LLPs) Company Registrations" ; dcat:accessURL ; dcat:byteSize 20718.0 . a dcat:Dataset ; dct:description "The Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) dataset provides detailed information on the implementation of the MGNREGA program in India. The MGNREGA program is a flagship social welfare program of the Indian government that guarantees 100 days of employment to every rural household in the country, with a special focus on the poorest and most marginalized communities. The dataset includes information on the number of households and individuals who have benefited from the program, the amount of funds disbursed, and the types of work undertaken by program beneficiaries. The dataset is organized according to various dimensions, such as state, district, and financial year, making it easy for users to filter and analyze the data according to their specific needs. The dataset is relevant to a wide range of stakeholders, including government officials, social scientists, policy think tanks, media houses, and newsrooms. The data is collected and maintained by the Ministry of Rural Development, Government of India, and is available for download on the MGNREGA website. The dataset is a valuable resource for researchers, policymakers, and journalists interested in issues related to rural employment, poverty reduction, social inclusion, and sustainable development in India." ; dct:identifier "3798280d-f0c4-439d-8ecb-b3e3e02e1d7a" ; dct:issued "2024-06-05T11:53:45.139787"^^xsd:dateTime ; dct:modified "2024-06-05T11:53:45.139792"^^xsd:dateTime ; dct:publisher ; dct:title "MGNREGA (Mahatma Gandhi National Rural Employment Guarantee Act)" ; dcat:landingPage . a dcat:Dataset ; dct:description "The Unified District Information System for Education (UDISE) is an initiative by the Government of India to collate and manage data related to the education sector at the school level. Launched under the aegis of the Ministry of Education, UDISE serves as a comprehensive database, capturing detailed information about school infrastructure, teacher qualifications, student enrollment, and other crucial educational parameters. The data is collected annually from pre-primary to higher secondary school levels across all Indian states and union territories. UDISE plays a pivotal role in assisting policymakers, educators, and researchers in understanding the state of education in India, enabling informed decision-making and the formulation of targeted interventions. The platform's insights and analytics contribute significantly to enhancing the quality and accessibility of education in the country." ; dct:identifier "38a286aa-95dc-4c19-bafb-a08f57f6d7cf" ; dct:issued "2024-06-06T05:42:18.959193"^^xsd:dateTime ; dct:modified "2024-12-03T16:36:49.001399"^^xsd:dateTime ; dct:publisher ; dct:title "Unified District Information System for Education (UDISE)" ; dcat:distribution ; dcat:landingPage . a dcat:Distribution ; dct:description "The UDISE dataset for Meghalaya offers essential information on the basic details of schools in the state, including key metrics such as school infrastructure, student enrollment numbers, and teacher demographics. This dataset enables policymakers and stakeholders to assess the education landscape, identify areas for improvement, and make informed decisions to enhance the quality of education in Meghalaya." ; dct:format "CSV" ; dct:issued "2024-12-03T15:59:43.905799"^^xsd:dateTime ; dct:modified "2024-12-03T16:36:49.005859"^^xsd:dateTime ; dct:title "School Basic Details" ; dcat:accessURL ; dcat:byteSize 5003886.0 . a dcat:Dataset ; dct:description "The \"Khelo India Medal Tally\" dataset, managed by the Ministry of Youth Affairs, presents a detailed record of the performance of various states in the Khelo India games, a flagship initiative to foster sports culture in India. For each participating state, identified by its name and code, the dataset lists the number of gold, silver, and bronze medals won in different sports annually. Additionally, a consolidated count of the total medals won provides a snapshot of the overall success of a state in a given year. This dataset is instrumental for sports analysts, enthusiasts, and policymakers to gauge the sports prowess and development across different regions of India over time." ; dct:identifier "3a70258d-5637-4d38-99b6-736b838cdaa2" ; dct:issued "2024-06-05T12:41:02.265316"^^xsd:dateTime ; dct:modified "2024-06-05T15:22:38.725268"^^xsd:dateTime ; dct:publisher ; dct:title "Khelo India" ; dcat:distribution ; dcat:landingPage . a dcat:Distribution ; dct:description "The Khelo India Medal Tally for Meghalaya showcases the number of medals won by the state in various sports. This dataset provides a comprehensive overview of the sporting achievements of Meghalaya in the Khelo India games. Explore the medal tally to gain insights into the state's performance and success in different disciplines." ; dct:format "CSV" ; dct:issued "2024-06-05T12:41:02.491022"^^xsd:dateTime ; dct:modified "2024-06-05T15:22:38.729774"^^xsd:dateTime ; dct:title "Khelo India Medal Tally" ; dcat:accessURL ; dcat:byteSize 1453.0 . a dcat:Dataset ; dct:description "The \"Commodity Prices in Meghalaya\" offers a detailed and comprehensive collection of datasets focused on the pricing of various commodities within the state of Meghalaya, India. This package is designed to cater to economists, market analysts, policy makers, and researchers who are interested in understanding the economic and market dynamics of this region. It includes the key dataset, \"Commodity Average Price,\" which provides yearly average prices of different commodities across various districts in Meghalaya." ; dct:identifier "3e19b596-84bd-483b-bc51-3a1c751a6755" ; dct:issued "2023-11-17T14:54:32.535709"^^xsd:dateTime ; dct:modified "2024-01-04T07:15:52.047767"^^xsd:dateTime ; dct:publisher ; dct:title "Commodity Prices" ; dcat:distribution ; dcat:landingPage . a dcat:Distribution ; dct:description "This dataset provides a comprehensive overview of the average prices of various commodities across different districts in the state of Meghalaya, India. It spans multiple years and offers detailed information including state and district codes, commodity names, and their corresponding average prices in Indian Rupees (Rs). This dataset is crucial for understanding the price trends of essential commodities within the region and can be instrumental for economic analysis, policy making, and market research." ; dct:format "CSV" ; dct:issued "2023-11-17T14:54:33.230726"^^xsd:dateTime ; dct:modified "2024-01-04T07:15:51.762977"^^xsd:dateTime ; dct:title "Commodity Average Price" ; dcat:accessURL ; dcat:byteSize 369972.0 ; dcat:mediaType "text/csv" . a dcat:Dataset ; dct:description """This dataset gives bank-wise information about the Margin Money claimed and released under PMEGP.The Prime Minister's Employment Generation Programme (PMEGP) dataset provides state-wise and bank-wise data on margin money claimed, released, and disbursed over the years. PMEGP is a credit-linked subsidy program initiated by the Government of India to generate employment opportunities in rural and urban areas of the country by promoting micro-enterprises in the non-farm sector.\r \r The dataset covers information on the margin money claimed, released, and disbursed by various banks across different states in India. The margin money refers to the amount that the beneficiary has to contribute towards the project cost, while the remaining amount is financed by the bank as a loan with a subsidy component.\r The data can be used to analyze the performance of different banks and states in implementing the PMEGP scheme and to identify trends and patterns in the utilization of margin money by the beneficiaries.""" ; dct:identifier "48892cc2-22a8-4327-82e2-960290b98294" ; dct:issued "2023-05-16T11:32:10.358068"^^xsd:dateTime ; dct:modified "2024-06-06T05:36:02.396139"^^xsd:dateTime ; dct:publisher ; dct:title "Prime Minsters Employment Generation Programme (PMEGP)" ; dcat:distribution ; dcat:landingPage . a dcat:Distribution ; dct:description "The PMEGP dataset provides bank-wise information on Margin Money claimed and released under the Prime Minister's Employment Generation Programme. This program aims to generate employment opportunities by promoting micro-enterprises in both rural and urban areas of India. The dataset allows for analysis of the performance of different banks and states in implementing the PMEGP scheme, as well as identifying trends and patterns in the utilization of Margin Money by beneficiaries." ; dct:format "CSV" ; dct:issued "2024-06-06T05:34:41.240864"^^xsd:dateTime ; dct:modified "2024-06-06T05:36:02.400660"^^xsd:dateTime ; dct:title "PMEGP State Wise" ; dcat:accessURL ; dcat:byteSize 1866.0 . a dcat:Dataset ; dct:description "The \"State/UT wise Production of Major Livestock Products\" dataset, curated by the Department of Animal Husbandry and Dairying, offers a comprehensive overview of livestock product outputs across the various states and union territories of India. Segmented by financial year and individual states (each identified by a unique code), the dataset captures production figures for key livestock products: milk, eggs, meat, and wool. This information provides valuable insights into the livestock industry's performance, regional specialties, and trends over time. By centralizing this data, the dataset becomes an essential tool for policymakers, agriculturalists, and researchers looking to understand and optimize India's animal husbandry sector." ; dct:identifier "48e8c96c-11f3-4571-a762-0d16fb2e25e6" ; dct:issued "2024-06-05T14:41:37.875446"^^xsd:dateTime ; dct:modified "2024-06-05T14:41:39.500823"^^xsd:dateTime ; dct:publisher ; dct:title "Livestock Products" ; dcat:distribution ; dcat:landingPage . a dcat:Distribution ; dct:description "The dataset details the production of major livestock products including milk, eggs, wool, and meat in each state/UT of India from 2019 to 2021, as reported by the Department of Animal Husbandry and Dairying, Government of India. This information offers insights into the regional variations and trends in livestock product output, including those specific to Meghalaya." ; dct:format "CSV" ; dct:issued "2024-06-05T14:41:38.100984"^^xsd:dateTime ; dct:modified "2024-06-05T14:41:39.291161"^^xsd:dateTime ; dct:title "State/UT wise Production of Major Livestock Products" ; dcat:accessURL ; dcat:byteSize 173.0 ; dcat:mediaType "text/csv" . a dcat:Dataset ; dct:description "Elections in India are a grand democratic exercise, underpinned by a robust constitutional framework. There are primarily two types of elections: Parliamentary, which are held to elect members to the Lok Sabha (House of the People) at the national level, and Assembly elections for the Vidhan Sabhas (Legislative Assemblies) at the state level. The Lok Sabha elections, also known as General Elections, take place every five years, determining the composition of the central government and the Prime Minister. In contrast, Assembly elections decide the state governments and Chief Ministers, with their schedules varying based on the five-year terms of individual state assemblies. Both these elections are overseen by the Election Commission of India, ensuring a free, fair, and transparent electoral process." ; dct:identifier "49c695e8-4097-4090-9e9e-727b1ed6980f" ; dct:issued "2024-06-05T11:21:15.017277"^^xsd:dateTime ; dct:modified "2024-06-05T12:08:58.886608"^^xsd:dateTime ; dct:publisher ; dct:title "Elections in India" ; dcat:distribution ; dcat:landingPage . a dcat:Distribution ; dct:description "The dataset now includes detailed information on assembly elections in Meghalaya at the candidate level, providing insights into individual candidates, their parties, vote counts, and performance. This addition offers a comprehensive view of the election dynamics in Meghalaya." ; dct:format "CSV" ; dct:issued "2024-06-05T11:21:15.424754"^^xsd:dateTime ; dct:modified "2024-06-05T12:08:58.891156"^^xsd:dateTime ; dct:title "Assembly Elections Data at Candidate Level" ; dcat:accessURL ; dcat:byteSize 109070.0 . a dcat:Dataset ; dct:description "The Local Government Directory (LGD) codes serve as a standardized system of identification for administrative divisions and entities within India, including states, districts, blocks, and villages. Managed and maintained by the central government, these unique codes ensure uniformity and ease of reference across various governmental databases and systems. The LGD codes streamline data integration, interoperability, and consistency across different e-governance initiatives. The advantages include facilitating efficient data retrieval, ensuring accurate data mapping across sectors, and simplifying administrative communication and coordination at both the state and central levels." ; dct:identifier "53744440-3e16-4622-a3d6-75f0a90709ca" ; dct:issued "2024-06-05T11:35:21.392715"^^xsd:dateTime ; dct:modified "2024-06-05T14:48:02.070563"^^xsd:dateTime ; dct:publisher ; dct:title "LGD Codes" ; dcat:distribution , , , ; dcat:landingPage . a dcat:Distribution ; dct:description "The Block LGD Codes dataset for Meghalaya is an essential resource for India's governance structure and enables effective decentralized administration. It offers comprehensive information about each block in the state, including block names, LGD codes, and parent district codes. These codes ensure consistency and accuracy in data management, communication, and reporting, facilitating a deeper understanding of administrative units in Meghalaya. The dataset is regularly updated to incorporate any changes resulting from block bifurcations, new block creations, or boundary modifications." ; dct:format "CSV" ; dct:issued "2024-06-05T11:35:21.668540"^^xsd:dateTime ; dct:modified "2024-06-05T11:35:26.887665"^^xsd:dateTime ; dct:title "Block LGD Codes" ; dcat:accessURL ; dcat:byteSize 3573.0 ; dcat:mediaType "text/csv" . a dcat:Distribution ; dct:description "The District LGD Codes dataset for Meghalaya is a crucial resource for efficient data management and clear communication across government departments. The uniform coding system enables each district to be uniquely identified by an LGD code, which consists of numerical characters encoding geographical and administrative information. The dataset is regularly updated to account for changes due to district bifurcations, new administrative units, or boundary modifications, ensuring accuracy and consistency in data management." ; dct:format "CSV" ; dct:issued "2024-06-05T11:35:32.389856"^^xsd:dateTime ; dct:modified "2024-06-05T11:35:34.191728"^^xsd:dateTime ; dct:title "District LGD Codes" ; dcat:accessURL ; dcat:byteSize 799.0 ; dcat:mediaType "text/csv" . a dcat:Distribution ; dct:description "The dataset of LGD codes for Gram Panchayats in Meghalaya is an essential resource for decentralized governance and administration. It provides a comprehensive directory of unique LGD codes assigned to each Gram Panchayat, ensuring clear identification and avoiding duplication. The dataset includes rural administrative units representing specific geographical areas and undergoes regular updates to maintain accuracy and relevance." ; dct:format "CSV" ; dct:issued "2024-06-05T11:35:39.828110"^^xsd:dateTime ; dct:modified "2024-06-05T11:52:57.811051"^^xsd:dateTime ; dct:title "Gram Panchayat LGD Codes" ; dcat:accessURL ; dcat:byteSize 607756.0 ; dcat:mediaType "text/csv" . a dcat:Distribution ; dct:description "The dataset of LGD codes for States and Union Territories (UTs) in Meghalaya is a fundamental resource for government agencies, researchers, and the public. It provides standardized identifiers for each State and UT, ensuring clear and unique distinctions between them. Regular updates are conducted to maintain the accuracy and relevance of the dataset, enabling seamless data integration and consistency across government systems." ; dct:format "CSV" ; dct:issued "2024-06-05T14:48:00.642235"^^xsd:dateTime ; dct:modified "2024-06-05T14:48:01.819445"^^xsd:dateTime ; dct:title "State LGD Codes" ; dcat:accessURL ; dcat:byteSize 112.0 ; dcat:mediaType "text/csv" . a dcat:Dataset ; dct:description "The \"Food and Public Distribution\" package provides comprehensive datasets that focus on various aspects of food security and public distribution systems in India. The datasets within this package include detailed information on the distribution and transaction of ration cards, as well as monthly food distribution data. This package serves as a critical resource for understanding the effectiveness, reach, and impact of the Public Distribution System (PDS), which is a vital component of India's food security framework." ; dct:identifier "540ad7a8-0c5b-49ee-bdad-0d4255b2d738" ; dct:issued "2024-12-03T11:48:54.464634"^^xsd:dateTime ; dct:modified "2024-12-03T11:56:10.695949"^^xsd:dateTime ; dct:publisher ; dct:title "Food and Public Distribution" ; dcat:distribution , ; dcat:landingPage . a dcat:Distribution ; dct:description "This dataset contains monthly data on food distribution, including the allocation and distribution of various food items such as rice, wheat, coarse grain, and fortified rice across different districts." ; dct:format "CSV" ; dct:issued "2024-12-03T11:48:58.460660"^^xsd:dateTime ; dct:modified "2024-12-03T11:55:42.441526"^^xsd:dateTime ; dct:title "Monthly Food Distribution Data" ; dcat:accessURL ; dcat:byteSize 250578.0 . a dcat:Distribution ; dct:description "This dataset contains information about food distribution to ration card holders and related transactions, including data for different years." ; dct:format "CSV" ; dct:issued "2024-12-03T11:49:40.095971"^^xsd:dateTime ; dct:modified "2024-12-03T11:56:10.700905"^^xsd:dateTime ; dct:title "Ration Card Distribution and Transaction Data" ; dcat:accessURL ; dcat:byteSize 1041.0 . a dcat:Dataset ; dct:description """The National Family Health Survey (NFHS) is a large-scale, multi-round survey conducted in a representative sample of households throughout India. The survey is conducted by the Ministry of Health and Family Welfare, in collaboration with the International Institute for Population Sciences (IIPS) and other partner organizations. The NFHS is conducted periodically and provides important information on a wide range of health and social indicators, such as fertility, infant and child mortality, maternal and child health, nutrition, family planning, HIV/AIDS, and other health-related issues. The survey is designed to provide reliable data at the national, state, and district levels, and the results are widely used by policymakers, researchers, and program managers to inform policy and programs related to health and development.""" ; dct:identifier "57a54450-6fbc-4c8d-a25d-f275f557c5f5" ; dct:issued "2023-11-17T14:40:46.855432"^^xsd:dateTime ; dct:modified "2024-06-06T05:33:32.742507"^^xsd:dateTime ; dct:publisher ; dct:title "National Family Health Survey" ; dcat:distribution ; dcat:landingPage . a dcat:Distribution ; dct:description "The National Family Health Survey (NFHS) for Meghalaya offers comprehensive insights into various health and social indicators, providing valuable data at different administrative levels. This information is instrumental in guiding the development of policies and programs aimed at addressing health and developmental needs within the region." ; dct:format "CSV" ; dct:issued "2024-06-06T05:24:06.730521"^^xsd:dateTime ; dct:modified "2024-06-06T05:33:32.747843"^^xsd:dateTime ; dct:title "National Family Health Survey" ; dcat:accessURL ; dcat:byteSize 9600.0 . a dcat:Dataset ; dct:description "The Pradhan Mantri Mudra Yojana (PMMY), commonly known as Mudra Loans, is an initiative launched by the Government of India to facilitate micro-credit to non-corporate, non-farm small and micro enterprises. Introduced under the Micro Units Development & Refinance Agency Ltd. (MUDRA), the scheme offers loans categorized into three products: Shishu (loans up to ₹50,000), Kishore (loans from ₹50,000 to ₹5 lakh), and Tarun (loans from ₹5 lakh to ₹10 lakh). PMMY aims to empower budding entrepreneurs, especially from marginalized sections, by providing them with financial support without the need for collateral. The initiative plays a pivotal role in fostering grassroots entrepreneurship and bolstering the Indian economy." ; dct:identifier "58afc88f-509d-4196-a470-7fb498b18c71" ; dct:issued "2023-10-26T06:41:14.472477"^^xsd:dateTime ; dct:modified "2024-06-06T05:34:31.202886"^^xsd:dateTime ; dct:publisher ; dct:title "Mudra Loans" ; dcat:distribution ; dcat:landingPage . a dcat:Distribution ; dct:description "The performance of the Pradhan Mantri Mudra Yojana (PMMY) in Meghalaya can be assessed based on the number of accounts sanctioned and the amount disbursed under different loan categories. The three categories, namely Shishu, Kishore, and Tarun, cater to varying loan amounts, offering financial support up to Rs. 50,000, Rs. 50,000 to Rs. 5 lakhs, and above Rs. 5 lakhs up to Rs. 10 lakhs respectively. This data provides insights into the success and impact of PMMY in facilitating access to credit for individuals and businesses in Meghalaya." ; dct:format "CSV" ; dct:issued "2024-06-06T05:23:13.129027"^^xsd:dateTime ; dct:modified "2024-06-06T05:34:31.207710"^^xsd:dateTime ; dct:title "State Performance" ; dcat:accessURL ; dcat:byteSize 929.0 . a dcat:Dataset ; dct:description "Direct Benefit Transfer (DBT) is an initiative by the Government of India to ensure the direct transfer of subsidies, grants, and benefits into the bank accounts of beneficiaries, eliminating intermediaries and reducing leakages. Launched in 2013, DBT covers a plethora of schemes across various ministries and departments, ranging from fuel subsidies to scholarships and social welfare programs. The initiative leverages the Aadhaar identity platform for beneficiary verification, ensuring targeted and efficient disbursement of funds. By bypassing traditional bureaucratic channels, DBT not only ensures timely and accurate delivery of benefits but also brings about greater transparency, accountability, and cost savings in the public distribution of funds." ; dct:identifier "5a9b90c8-63e3-4d21-8106-a6bcdc817315" ; dct:issued "2024-06-05T07:09:03.092499"^^xsd:dateTime ; dct:modified "2024-06-05T11:54:47.179034"^^xsd:dateTime ; dct:publisher ; dct:title "Direct Benefit Transfer" ; dcat:distribution , ; dcat:landingPage . a dcat:Distribution ; dct:description "The dataset has been updated to include the Direct Benefit Transfer (DBT) performance for Meghalaya on a year-wise basis for the financial years 2019 to 2024." ; dct:format "CSV" ; dct:issued "2024-06-05T09:36:26.127845"^^xsd:dateTime ; dct:modified "2024-06-05T11:53:57.859739"^^xsd:dateTime ; dct:title "DBT State Wise" ; dcat:accessURL ; dcat:byteSize 419.0 . a dcat:Distribution ; dct:description "The dataset has been updated to include the year-wise Direct Benefit Transfer performance for various districts in Meghalaya for the financial years 2019 to 2023." ; dct:format "CSV" ; dct:issued "2024-06-05T09:40:40.354577"^^xsd:dateTime ; dct:modified "2024-06-05T11:54:47.183879"^^xsd:dateTime ; dct:title "DBT District Wise " ; dcat:accessURL ; dcat:byteSize 4830.0 . a dcat:Dataset ; dct:description "In India, Corporate Social Responsibility (CSR) has gained significant momentum, especially after the introduction of legal mandates. The Companies Act of 2013 made it obligatory for certain firms, based on net worth, turnover, or profitability criteria, to spend at least 2% of their average net profits from the preceding three years on CSR activities. These endeavors are directed towards areas like education, health, poverty alleviation, and environmental sustainability, among others. The legal push for CSR, coupled with a rich tradition of philanthropy, has led Indian corporations to integrate social responsibility into their business models, fostering community development alongside economic growth." ; dct:identifier "65ba21c9-5e20-41d5-8758-11ba798f0ccb" ; dct:issued "2024-06-05T10:27:32.209626"^^xsd:dateTime ; dct:modified "2024-06-05T11:53:31.786881"^^xsd:dateTime ; dct:publisher ; dct:title "Corporate Social Responsibility (CSR)" ; dcat:distribution ; dcat:landingPage . a dcat:Distribution ; dct:description """Here is the updated information for Meghalaya:\r \r This dataset provides insights into Corporate Social Responsibility (CSR) projects in Meghalaya, aggregating expenditure by social sector, district, and year. It enables stakeholders to understand CSR spending trends, regional disparities, and areas of focus in the state.""" ; dct:format "CSV" ; dct:issued "2024-06-05T10:42:56.114310"^^xsd:dateTime ; dct:modified "2024-06-05T11:53:31.791618"^^xsd:dateTime ; dct:title "CSR Projects: Social Sector Wise Aggregated Expenditure" ; dcat:accessURL ; dcat:byteSize 1072.0 . a dcat:Dataset ; dct:description "Deen Dayal Upadhyaya Grameen Kaushalya Yojana (DDU-GKY) is a flagship skill training initiative of the Ministry of Rural Development, Government of India. Launched with the aim to transform rural India by fostering inclusive economic growth, DDU-GKY focuses on the youth from poor families aged between 15 and 35 years. The program seeks to provide them with market-relevant training, equipping them with skills that meet the demands of domestic and global employers. In addition to imparting hard skills, the scheme emphasizes on soft skills, English proficiency, and digital literacy, ensuring comprehensive employability. The ultimate goal of DDU-GKY is to reduce poverty by aiding the rural youth in securing stable and remunerative employment." ; dct:identifier "6e045bf6-d5dd-4faf-aba5-558000a979e0" ; dct:issued "2024-06-05T15:47:33.325929"^^xsd:dateTime ; dct:modified "2024-06-05T15:47:56.543696"^^xsd:dateTime ; dct:publisher ; dct:title "Deen Dayal Upadhyaya Grameen Kaushalya Yojana" ; dcat:distribution ; dcat:landingPage . a dcat:Distribution ; dct:description "The \"Deen Dayal Upadhyaya Grameen Kaushalya Yojana\" dataset provides a comprehensive overview of a government program focused on skill development and employment opportunities for rural youth in India. It offers valuable insights into the program's performance and impact over time, showcasing the cumulative number of candidates assessed, trained, and placed annually." ; dct:format "CSV" ; dct:issued "2024-06-05T15:47:33.773608"^^xsd:dateTime ; dct:modified "2024-06-05T15:47:56.548471"^^xsd:dateTime ; dct:title "Cumulative Progress of DDUGKY" ; dcat:accessURL ; dcat:byteSize 597.0 . a dcat:Dataset ; dct:description "Directorate General of Commercial Intelligence and Statistics is an agency under the Ministry of Commerce and Industry, Government of India, responsible for collecting, compiling, and disseminating trade statistics and commercial intelligence. DGCI&S gathers data, including detailed information on commodities, trade volumes, values, and trade partners. This data is crucial for monitoring trade trends, formulating trade policies, assessing the competitiveness of industries, and supporting economic decision-making at both national and international levels. The agency plays a pivotal role in providing accurate and timely trade statistics that facilitate informed business decisions, policy formulations, and strategic planning across various sectors of the economy." ; dct:identifier "7123cff7-0693-4216-b640-312042e5d51e" ; dct:issued "2024-06-05T10:28:06.539785"^^xsd:dateTime ; dct:modified "2024-12-03T17:24:34.008171"^^xsd:dateTime ; dct:publisher ; dct:title "Port Level Exports and Imports" ; dcat:distribution , ; dcat:landingPage . a dcat:Distribution ; dct:description "The \"Imports at Principal Commodity Level\" dataset offers comprehensive details about the commodities imported into Meghalaya through different ports from various countries. It encompasses information on import months, port details, originating countries, commodity specifics, and quantity and value in both USD and INR, providing valuable insights into trade activities and the value of imported commodities over time within the state." ; dct:format "CSV" ; dct:issued "2024-12-03T11:18:08.309731"^^xsd:dateTime ; dct:modified "2024-12-03T17:16:39.574903"^^xsd:dateTime ; dct:title "Imports at Principal Commodity Level" ; dcat:accessURL ; dcat:byteSize 26043.0 ; dcat:mediaType "text/csv" . a dcat:Distribution ; dct:description "The \"Exports at Principal Commodity Level\" dataset now includes detailed insights into the commodities exported from Meghalaya to various international destinations. It encompasses key parameters such as the date (month), originating state, export port, destination country, commodity code, name, quantity, and corresponding value in USD and INR." ; dct:format "CSV" ; dct:issued "2024-12-03T11:18:32.462454"^^xsd:dateTime ; dct:modified "2024-12-03T17:16:13.262506"^^xsd:dateTime ; dct:title "Exports at Principal Commodity Level" ; dcat:accessURL ; dcat:byteSize 41090.0 ; dcat:mediaType "text/csv" . a dcat:Dataset ; dct:description "Central Ground Water Board conducts macro/micro-level ground water management studies, exploratory drilling programme, monitoring of ground water levels and water quality through a network of ground water observation wells comprising both large diameter open wells and purpose-built bore/tube wells (piezometers), implementation of demonstrative schemes for artificial recharge and rainwater harvesting for recharge augmentation. These datasets consists of daily groundwater levels aggregated at the state and district levels across the country." ; dct:identifier "7880ad7b-78c8-4f96-a86b-5f0db5870a1a" ; dct:issued "2023-05-20T13:57:33.566690"^^xsd:dateTime ; dct:modified "2023-05-26T03:47:20.346035"^^xsd:dateTime ; dct:publisher ; dct:title "Daily Ground Water Level" ; dcat:distribution , ; dcat:landingPage . a dcat:Distribution ; dct:description "Central Ground Water Board conducts macro/micro-level ground water management studies, exploratory drilling programme, monitoring of ground water levels and water quality through a network of ground water observation wells comprising both large diameter open wells and purpose-built bore/tube wells (piezometers), implementation of demonstrative schemes for artificial recharge and rainwater harvesting for recharge augmentation. These datasets consists of daily groundwater levels aggregated at the state and district levels across the country." ; dct:format "CSV" ; dct:issued "2023-05-20T13:59:01.025854"^^xsd:dateTime ; dct:modified "2023-05-20T13:59:01.017798"^^xsd:dateTime ; dct:title "District Level Ground Water levels" ; dcat:accessURL ; dcat:byteSize 2399651.0 ; dcat:mediaType "text/csv" . a dcat:Distribution ; dct:description "Central Ground Water Board conducts macro/micro-level ground water management studies, exploratory drilling programme, monitoring of ground water levels and water quality through a network of ground water observation wells comprising both large diameter open wells and purpose-built bore/tube wells (piezometers), implementation of demonstrative schemes for artificial recharge and rainwater harvesting for recharge augmentation. These datasets consists of daily groundwater levels aggregated at the state and district levels across the country." ; dct:format "CSV" ; dct:issued "2023-05-20T13:57:34.409290"^^xsd:dateTime ; dct:modified "2023-05-26T03:47:20.355193"^^xsd:dateTime ; dct:title "State Level Ground Water levels" ; dcat:accessURL ; dcat:byteSize 282166.0 . a dcat:Dataset ; dct:identifier "7b7ead80-038b-4362-afac-d65611f44209" ; dct:issued "2024-06-05T14:40:43.484083"^^xsd:dateTime ; dct:modified "2024-06-05T14:40:45.429122"^^xsd:dateTime ; dct:publisher ; dct:title "Unique Identification Authority of India(UIDAI)" ; dcat:distribution ; dcat:landingPage . a dcat:Distribution ; dct:description "The \"Aadhaar Saturation Report\" offers a comprehensive overview of Aadhaar card distribution and coverage in Meghalaya, showcasing the penetration and impact of the UIDAI initiative within the state. It provides valuable insights into the extent of Aadhaar adoption among residents of Meghalaya across different age groups, shedding light on the program's effectiveness and reach in the region." ; dct:format "CSV" ; dct:issued "2024-06-05T14:40:43.791208"^^xsd:dateTime ; dct:modified "2024-06-05T14:40:45.180471"^^xsd:dateTime ; dct:title "Aadhaar Saturation Report" ; dcat:accessURL ; dcat:byteSize 291.0 ; dcat:mediaType "text/csv" . a dcat:Dataset ; dct:description "The Reserve Bank of India (RBI) is the central banking institution of India, responsible for the issuance and supply of the Indian Rupee and the regulation of the money market. In the context of data and information, RBI plays a pivotal role by regularly publishing a plethora of economic indicators, reports, and research. This includes data on interest rates, inflation, foreign exchange reserves, banking statistics, monetary and credit policies, and more. Researchers, policymakers, investors, and the general public rely on the RBI's data for insights into the health and direction of the Indian economy. Additionally, its publications often serve as authoritative sources for financial analysis, economic forecasting, and policy formulation in India." ; dct:identifier "91edc2db-6e83-4cb1-9d67-8b86d64e5ef4" ; dct:issued "2024-06-05T12:43:35.562100"^^xsd:dateTime ; dct:modified "2024-12-03T16:36:19.496146"^^xsd:dateTime ; dct:publisher ; dct:title "Reserve Bank of India" ; dcat:distribution , , ; dcat:landingPage . a dcat:Distribution ; dct:description "This dataset provides detailed district-wise statistics on deposit counts and amounts for different population segments within each category of Scheduled Commercial Banks in Meghalaya. It offers a comprehensive overview of banking deposits, aiding in the analysis of deposit trends and patterns across various demographic groups within the state." ; dct:format "CSV" ; dct:issued "2024-06-05T12:43:35.978470"^^xsd:dateTime ; dct:modified "2024-06-05T15:36:59.266208"^^xsd:dateTime ; dct:title "Bank-group Wise Deposits" ; dcat:accessURL ; dcat:byteSize 44217.0 . a dcat:Distribution ; dct:description "The dataset provides a snapshot of the banking infrastructure in Meghalaya, including both active and inactive branches and ATMs. It provides comprehensive details about bank outlets and ATMs across different regions in Meghalaya. It includes location information, bank details, and operational status, helping to understand the spread and accessibility of banking services. This dataset is essential for researchers, policymakers, and financial analysts interested in understanding the landscape of banking services. It provides valuable insights into the reach and operational status of banking facilities, contributing to studies on financial inclusion and economic development." ; dct:format "CSV" ; dct:issued "2024-12-03T16:30:13.236101"^^xsd:dateTime ; dct:modified "2024-12-03T16:36:19.501294"^^xsd:dateTime ; dct:title "Bank Outlets and ATM's" ; dcat:accessURL ; dcat:byteSize 569507.0 . a dcat:Distribution ; dct:description "The dataset on \"Population-group Wise Deposits\" by the Reserve Bank of India (RBI) offers insights into the deposit landscape in Meghalaya. It encompasses data on deposits held by scheduled commercial banks, including public sector, private sector, foreign, and regional rural banks. The dataset provides information on various types of deposits, such as savings, term, and demand deposits, along with details on the amount of deposits and the number of accounts. This resource aids in understanding the distribution of deposits among different population groups in Meghalaya." ; dct:format "CSV" ; dct:issued "2024-06-05T12:44:22.252608"^^xsd:dateTime ; dct:modified "2024-06-05T15:37:40.586171"^^xsd:dateTime ; dct:title "Population-group Wise Deposits" ; dcat:accessURL ; dcat:byteSize 14340.0 . a dcat:Dataset ; dct:description "The Horticulture package is a detailed compilation of agricultural data, showcasing the diverse and vibrant horticultural activities within the state of Meghalaya. It includes comprehensive information on various horticultural sectors such as fruits, vegetables, flowers, spices, and plantation crops, reflecting the rich agricultural heritage and practices of Meghalaya. This package is instrumental for understanding the nuances of horticulture in the region and serves as a valuable resource for those involved in the agricultural sector, from policy formulation to farm management." ; dct:identifier "92fad1e0-32b7-447e-9c93-10383a471f94" ; dct:issued "2023-11-16T12:10:50.391743"^^xsd:dateTime ; dct:modified "2023-11-17T06:07:00.156286"^^xsd:dateTime ; dct:publisher ; dct:title "Horticulture" ; dcat:distribution ; dcat:landingPage . a dcat:Distribution ; dct:description "This dataset provides a quantitative snapshot of horticultural production in Meghalaya between 2011 and 2019. It records annual data on the area and total production across various horticultural categories such as fruits, vegetables, flowers, spices, plantation, aromatic plants, and honey, detailing the scope of agricultural activity in the state." ; dct:format "CSV" ; dct:issued "2023-11-16T12:10:50.803417"^^xsd:dateTime ; dct:modified "2023-11-17T06:07:00.167160"^^xsd:dateTime ; dct:title "Area and Production of Horticulture" ; dcat:accessURL ; dcat:byteSize 3632.0 ; dcat:mediaType "text/csv" . a dcat:Dataset ; dct:description "Vaahan is the official digital platform of the Ministry of Road Transport & Highways, Government of India, dedicated to maintaining a comprehensive national vehicle registry. The platform centralizes data pertaining to registered vehicles across India. On its public dashboard, \"parivahan,\" users can access detailed statistics on monthly vehicle registrations segmented by vehicle type, fuel type, make, and other parameters. Additionally, it offers insights into vehicle fitness statuses, permits, and other related services. This data serves as an invaluable resource for stakeholders looking to understand trends and patterns in India's vehicular landscape." ; dct:identifier "9431d979-b6a6-40b1-9139-b6d9312254b2" ; dct:issued "2024-06-05T11:54:47.388149"^^xsd:dateTime ; dct:modified "2024-12-03T17:22:55.552746"^^xsd:dateTime ; dct:publisher ; dct:title "Vehicle Registrations" ; dcat:distribution , , , , ; dcat:landingPage . a dcat:Distribution ; dct:description "The VAHAN Vehicle Registrations by Norm dataset for Meghalaya provides comprehensive information on vehicle registrations across states and RTOs in India, categorized by norms. This dataset is an invaluable resource for analyzing trends in vehicle registration and assessing compliance with various norms and regulations. It includes essential variables such as registration dates, state and RTO details, specific norms, categorization information, and the number of registrations. Policymakers, transportation authorities, and analysts can leverage this dataset to closely monitor and gain insights into vehicle registration patterns in Meghalaya and ensure regulatory compliance." ; dct:format "CSV" ; dct:issued "2024-06-05T12:18:01.595649"^^xsd:dateTime ; dct:modified "2024-12-03T17:19:45.792104"^^xsd:dateTime ; dct:title "VAHAN Vehicle Registrations by Norm" ; dcat:accessURL ; dcat:byteSize 215212.0 ; dcat:mediaType "text/csv" . a dcat:Distribution ; dct:description "The VAHAN Vehicle Registrations by Vehicle Category dataset provides comprehensive information on vehicle registrations categorized by vehicle category across various states and regional transport offices (RTOs) in India. It serves as a valuable resource for understanding the distribution of vehicle registrations, aiding policymakers, transportation authorities, and analysts in monitoring and analyzing vehicle registration trends. By offering details such as state names, RTO names, vehicle categories, and the number of registrations, this dataset enables in-depth insights into the registration patterns and preferences in Meghalaya." ; dct:format "CSV" ; dct:issued "2024-06-05T12:21:46.246356"^^xsd:dateTime ; dct:modified "2024-12-03T17:20:25.560402"^^xsd:dateTime ; dct:title "VAHAN Vehicle Registrations by Vehicle Category" ; dcat:accessURL ; dcat:byteSize 441867.0 ; dcat:mediaType "text/csv" . a dcat:Distribution ; dct:description "The VAHAN Vehicle Registrations by Maker dataset provides valuable insights into vehicle registrations in Meghalaya, including manufacturer details, vehicle category, and registration volume. This data is essential for policymakers, the automotive industry, and analysts interested in understanding trends in vehicle registrations by different manufacturers across various states and regions. Critical variables such as registration dates, state and RTO details, and the number of registrations are included, providing a comprehensive view of vehicle registration patterns in Meghalaya." ; dct:format "CSV" ; dct:issued "2024-06-05T11:57:39.948846"^^xsd:dateTime ; dct:modified "2024-12-03T17:18:15.108637"^^xsd:dateTime ; dct:title "VAHAN Vehicle Registrations by Maker" ; dcat:accessURL ; dcat:byteSize 882024.0 ; dcat:mediaType "text/csv" . a dcat:Distribution ; dct:description "The VAHAN Vehicle Registrations by Vehicle Class dataset provides comprehensive information on vehicle registrations categorized by vehicle class across various states and regional transport offices (RTOs) in India. It serves as a valuable resource for analyzing the distribution of vehicle registrations across different vehicle classes, states, and RTOs. With variables such as the date of registration, state names, RTO names, vehicle classes, and the number of registrations, this dataset is essential for policymakers, transportation authorities, and analysts interested in monitoring and analyzing vehicle registration trends in Meghalaya." ; dct:format "CSV" ; dct:issued "2024-06-05T12:28:55.611612"^^xsd:dateTime ; dct:modified "2024-12-03T17:21:11.087744"^^xsd:dateTime ; dct:title "VAHAN Vehicle Registrations by Vehicle Class" ; dcat:accessURL ; dcat:byteSize 415310.0 ; dcat:mediaType "text/csv" . a dcat:Distribution ; dct:description "The \"VAHAN Vehicle Registrations by Fuel Type\" dataset provides valuable insights into the distribution of vehicles based on fuel types in India, specifically in Meghalaya. It includes information on key variables such as registration dates, state and regional transport office details, fuel types (petrol, diesel, electric), vehicle categories (two-wheeler, four-wheeler), and the number of registrations. This dataset is crucial for policymakers, transportation planners, and analysts interested in monitoring vehicle trends and assessing the environmental impact of different fuel usages in Meghalaya." ; dct:format "CSV" ; dct:issued "2024-06-05T11:54:47.897816"^^xsd:dateTime ; dct:modified "2024-12-03T17:22:55.230250"^^xsd:dateTime ; dct:title "VAHAN Vehicle Registrations by Fuel Type" ; dcat:accessURL ; dcat:byteSize 158700.0 ; dcat:mediaType "text/csv" . a dcat:Dataset ; dct:description "The Goods and Services Tax (GST) is a comprehensive, multi-stage, destination-based tax system introduced in India on July 1, 2017, which subsumed a plethora of previously existing indirect taxes like VAT, service tax, and excise duty. Implemented with the motto \"One Nation, One Tax,\" GST aims to simplify the indirect tax structure, remove cascading effects, and create a unified national market. It is levied on the supply of goods and services, with rates varying across different categories. The GST system is bifurcated into Central GST (CGST) and State GST (SGST) for intra-state sales, while an Integrated GST (IGST) is applied for inter-state transactions. " ; dct:identifier "9c6f84eb-7bed-4e1e-b224-a821a82bb7dc" ; dct:issued "2024-06-05T10:22:04.155848"^^xsd:dateTime ; dct:modified "2024-06-05T11:52:39.222159"^^xsd:dateTime ; dct:publisher ; dct:title "Goods and Services Tax" ; dcat:distribution , , , , ; dcat:landingPage . a dcat:Distribution ; dct:description "E-Way bills generated for Meghalaya provide insights into the movement of goods within the state and across borders, facilitating efficient tracking and regulation of the transportation of goods." ; dct:format "CSV" ; dct:issued "2024-06-05T10:23:15.493979"^^xsd:dateTime ; dct:modified "2024-06-05T11:51:51.897128"^^xsd:dateTime ; dct:title "E-WAY Bills Generated" ; dcat:accessURL ; dcat:byteSize 16297.0 . a dcat:Distribution ; dct:description "The dataset for Meghalaya includes information on tax collection on the GST Portal." ; dct:format "CSV" ; dct:issued "2024-06-05T10:23:48.694096"^^xsd:dateTime ; dct:modified "2024-06-05T11:52:04.951446"^^xsd:dateTime ; dct:title "Tax collection on GST Portal" ; dcat:accessURL ; dcat:byteSize 3960.0 . a dcat:Distribution ; dct:description "The dataset now includes comprehensive information on GSTR 3B return filings for Meghalaya, providing valuable insights into compliance and filing behavior in the state." ; dct:format "CSV" ; dct:issued "2024-06-05T10:25:06.248201"^^xsd:dateTime ; dct:modified "2024-06-05T11:52:39.227648"^^xsd:dateTime ; dct:title "GSTR3B Return Filings" ; dcat:accessURL ; dcat:byteSize 5625.0 . a dcat:Distribution ; dct:description "The dataset now includes comprehensive information on the Goods and Services Tax (GST) return filing process in Meghalaya, including details on GSTR1 return filings." ; dct:format "CSV" ; dct:issued "2024-06-05T10:24:22.675734"^^xsd:dateTime ; dct:modified "2024-06-05T11:52:23.483431"^^xsd:dateTime ; dct:title "GSTR1 Return Filings" ; dcat:accessURL ; dcat:byteSize 4877.0 . a dcat:Distribution ; dct:description "The dataset has been updated to include the IGST settlements for Meghalaya, providing crucial insights into the distribution of IGST revenues in the state. This information is valuable for policymakers, financial analysts, and tax administrators in understanding the financial dynamics of GST revenue allocation in Meghalaya." ; dct:format "CSV" ; dct:issued "2024-06-05T10:22:04.411335"^^xsd:dateTime ; dct:modified "2024-06-05T11:51:33.608955"^^xsd:dateTime ; dct:title "IGST Settlements" ; dcat:accessURL ; dcat:byteSize 2756.0 . a dcat:Dataset ; dct:description "The \"Groundwater\" package offers a rich and comprehensive collection of datasets detailing groundwater levels and quality across India. Compiled by the Central Ground Water Board (CGWB) and augmented by contributions from State Groundwater Boards and the Central Pollution Control Board (CPCB), this package provides critical data for hydrologists, environmental scientists, policymakers, and researchers focusing on water resource management and sustainability. The package's cornerstone is the \"CGWB Groundwater Wells - Changes in Depth to Water Level\" dataset, which records groundwater level fluctuations. Additional datasets may include regional studies from state boards and quality assessments from the CPCB." ; dct:identifier "9d792bff-01e2-4bbe-8dd3-bcc0d08e889d" ; dct:issued "2024-06-06T05:27:17.816849"^^xsd:dateTime ; dct:modified "2024-06-06T05:29:30.910285"^^xsd:dateTime ; dct:publisher ; dct:title "Groundwater" ; dcat:distribution , ; dcat:landingPage . a dcat:Distribution ; dct:description "The Central Ground Water Board (CGWB) maintains a dataset that tracks changes in groundwater levels across India. This dataset includes measurements from thousands of observation wells, recorded multiple times a year since 1969. It provides valuable information on the fluctuations in the depth to groundwater, giving insights into seasonal and annual variations." ; dct:format "CSV" ; dct:issued "2024-06-06T05:27:18.307795"^^xsd:dateTime ; dct:modified "2024-06-06T05:28:54.867219"^^xsd:dateTime ; dct:title "CGWB - Changes in Depth to Water Level" ; dcat:accessURL ; dcat:byteSize 81640.0 . a dcat:Distribution ; dct:description "The dataset on changes in groundwater levels in Meghalaya is compiled by various State Groundwater Boards across India. It provides detailed records of fluctuations in groundwater levels at numerous monitoring sites within the state. The dataset captures these fluctuations measured periodically, reflecting local methodologies and practices that may vary from state to state." ; dct:format "CSV" ; dct:issued "2024-06-06T05:28:00.462747"^^xsd:dateTime ; dct:modified "2024-06-06T05:29:30.915430"^^xsd:dateTime ; dct:title "State Groundwater Boards - Changes in Depth to Water Level" ; dcat:accessURL ; dcat:byteSize 2119.0 . a dcat:Dataset ; dct:description "Area Production Statistics (NHB) dataset captures the infromation on estimates of area and production of 8 types of Horticulture Crops at State level. This information is obtained from National Horticulture Board, Ministry of Agriculture & Farmers Welfare. This dataset has the estimates from the year 2013 to 2019 and is updated annually." ; dct:identifier "a68d5bc8-fc68-47b4-90b7-974eed773f19" ; dct:issued "2024-06-05T11:11:03.878029"^^xsd:dateTime ; dct:modified "2024-06-05T12:03:04.994220"^^xsd:dateTime ; dct:publisher ; dct:title "Area and Production Statistics (NHB)" ; dcat:distribution ; dcat:landingPage . a dcat:Distribution ; dct:description "The Area and Production Statistics (NHB) dataset for Meghalaya provides estimates of area and production for 8 types of Horticulture Crops at the state level, sourced from the National Horticulture Board, Ministry of Agriculture & Farmers Welfare. This annually updated dataset covers the years 2013 to 2019, offering valuable insights into horticultural trends in the region." ; dct:format "CSV" ; dct:issued "2024-06-05T11:11:04.140135"^^xsd:dateTime ; dct:modified "2024-06-05T12:03:04.998740"^^xsd:dateTime ; dct:title "Area and Production Statistics (NHB)" ; dcat:accessURL ; dcat:byteSize 2643.0 . a dcat:Dataset ; dct:description "The Unincorporated Non-Agriculture Enterprises Excluding Construction (NSSO) offers detailed information on informal non-agricultural businesses in India, excluding construction. It covers aspects like enterprise size, sector distribution, employment, productivity, and financial performance. Researchers and policymakers use this data to understand and address issues within the informal sector, aiding in economic development and policy formulation." ; dct:identifier "a9fef86e-440d-4a47-b81b-4d7c3aa2d856" ; dct:issued "2024-06-05T15:51:05.607014"^^xsd:dateTime ; dct:modified "2024-06-05T15:51:46.064360"^^xsd:dateTime ; dct:publisher ; dct:title "Unincorporated Non-Agriculture Enterprises Excluding Construction (NSSO)" ; dcat:distribution ; dcat:landingPage . a dcat:Distribution ; dct:description "The dataset offers a detailed analysis of unincorporated non-agriculture enterprises, excluding construction, in the state of Meghalaya. It provides valuable information about these enterprises, including their types, employment statistics, gross value added, and the challenges they face." ; dct:format "CSV" ; dct:issued "2024-06-05T15:51:06.100086"^^xsd:dateTime ; dct:modified "2024-06-05T15:51:46.069271"^^xsd:dateTime ; dct:title "Non-Agricultural Enterprise Analysis" ; dcat:accessURL ; dcat:byteSize 20530.0 . a dcat:Dataset ; dct:description "The Ministry of Power, India, is a governmental body responsible for the country's overall development, planning, and administration in the power sector. It oversees a vast array of functions, from power generation and transmission to policy formulation and technology development. One of its key objectives is to ensure reliable and uninterrupted power supply to all citizens. The ministry provides several datasets to the public, such as \"Daily Coal Stocks\" which tracks fuel reserves, \"Installed Capacity Statewise\" detailing each state's power production capabilities, and \"Daily Power Generation\" showcasing the nation's power output. Additionally, it offers insights into power disruptions through \"Daily Power Outage Reports,\" while \"Energy Requirement and Availability\" and \"Transmission Lines\" datasets help stakeholders understand the demand-supply dynamics and the transmission infrastructure, respectively." ; dct:identifier "ae990b63-c5a8-4261-a0b2-6b198015ed24" ; dct:issued "2024-06-05T11:34:44.124240"^^xsd:dateTime ; dct:modified "2024-12-03T17:17:07.819096"^^xsd:dateTime ; dct:publisher ; dct:title "Power" ; dcat:distribution , , , , ; dcat:landingPage . a dcat:Distribution ; dct:description "The Installed Capacity Statewise dataset provides detailed information on the energy capacity of Meghalaya, including the sources of energy such as coal, gas, and renewable energy, among others. The data is a valuable resource for policymakers, researchers, and industry professionals to make informed decisions on optimizing energy resources and infrastructure. This dataset can be used to analyze trends and patterns in energy generation in Meghalaya, facilitating better planning and implementation of energy policies." ; dct:format "CSV" ; dct:issued "2024-06-05T11:34:44.407851"^^xsd:dateTime ; dct:modified "2024-12-03T17:17:04.446479"^^xsd:dateTime ; dct:title "Installed Capacity Statewise" ; dcat:accessURL ; dcat:byteSize 16194.0 ; dcat:mediaType "text/csv" . a dcat:Distribution ; dct:description "The Daily Power Outage Reports for Meghalaya provide comprehensive data on the plant outages in nuclear, thermal, and hydro power stations across the state. The dataset includes outage information categorized by state, sector, power station type, individual power station, and unit level. It offers valuable insights into the installed capacity and outage details for each power station, facilitating analysis and decision-making regarding power infrastructure and maintenance in Meghalaya." ; dct:format "CSV" ; dct:issued "2024-12-03T11:41:05.828445"^^xsd:dateTime ; dct:modified "2024-12-03T11:57:01.849890"^^xsd:dateTime ; dct:title "Daily Power Outage Reports" ; dcat:accessURL ; dcat:byteSize 1719552.0 . a dcat:Distribution ; dct:description "The Daily Power Generation dataset for Meghalaya provides detailed information on the daily power generation from nuclear, thermal, and hydro power stations in the state. The dataset includes data by sector, power station type, individual power station, and unit level, with details such as installed capacity, daily power generation target, actual generation, and more. This data can be used to analyze trends and patterns in power generation, helping policymakers, researchers, and industry professionals make informed decisions regarding the optimization of energy resources and infrastructure in Meghalaya." ; dct:format "CSV" ; dct:issued "2024-12-03T11:39:09.742862"^^xsd:dateTime ; dct:modified "2024-12-03T11:56:49.862057"^^xsd:dateTime ; dct:title "Daily Power Generation" ; dcat:accessURL ; dcat:byteSize 1531304.0 . a dcat:Distribution ; dct:description "The Energy Requirement and Availability dataset for Meghalaya provides insightful information on the state's energy consumption, demand, and supply trends. This data serves as a critical resource for policymakers, researchers, and industry professionals to devise strategies and make informed decisions to optimize energy resources and infrastructure in Meghalaya. It offers a comprehensive overview of the power sector's performance in the state, enabling stakeholders to analyze and interpret data related to energy and electricity for effective planning and management." ; dct:format "CSV" ; dct:issued "2024-06-05T11:35:06.890608"^^xsd:dateTime ; dct:modified "2024-06-05T12:12:59.113493"^^xsd:dateTime ; dct:title "Energy Requirement and Availabililty" ; dcat:accessURL ; dcat:byteSize 2127.0 . a dcat:Distribution ; dct:description """#### About the Coal Reserves Dataset for Power in Meghalaya\r \r The dataset provides comprehensive information on coal reserves in Meghalaya, India. It categorizes the coal reserves by field and type, detailing the depth, type, and quantity of coal reserve for each entry across various financial years.""" ; dct:format "CSV" ; dct:issued "2024-06-05T12:43:09.539288"^^xsd:dateTime ; dct:modified "2024-06-05T15:31:56.597336"^^xsd:dateTime ; dct:title "Coal Reserves" ; dcat:accessURL ; dcat:byteSize 14035.0 . a dcat:Dataset ; dct:description "The Handloom Census is a specialized survey undertaken to understand the intricacies of India's handloom sector, which boasts a rich heritage and provides livelihood to millions. This census captures data on the number of weavers, their socio-economic conditions, types of looms in use, patterns of production, and market dynamics. It also delves into the challenges faced by artisans, from technological constraints to financial hardships. The insights from the Handloom Census are invaluable for policymakers, designers, and industry stakeholders, enabling them to frame supportive policies, develop market strategies, and ensure the sustenance and growth of this traditional industry in the face of modern competition." ; dct:identifier "b3e6fbaa-7b1c-4ed2-9c32-d09fbcb5f7bb" ; dct:issued "2024-06-05T15:36:24.458977"^^xsd:dateTime ; dct:modified "2024-06-05T16:33:44.274243"^^xsd:dateTime ; dct:publisher ; dct:title "Handloom Census" ; dcat:distribution , , , ; dcat:landingPage . a dcat:Distribution ; dct:description "This dataset provides a detailed insight into the handloom industry, focusing on non-household units across various states in India. It captures an array of information ranging from the type of looms used, fabrics produced, type of yarns used, major sources of input to sales channels." ; dct:format "CSV" ; dct:issued "2024-06-05T15:37:15.915247"^^xsd:dateTime ; dct:modified "2024-06-05T15:41:16.156613"^^xsd:dateTime ; dct:title "Non Household Production, Material Usage And Sales Channels" ; dcat:accessURL ; dcat:byteSize 2646.0 . a dcat:Distribution ; dct:description "The dataset covers rural and urban households with different types of looms, weaving various fabrics like sarees, dress materials, towels, and more. It categorizes handloom activities for non-commercial, income, and domestic/commercial purposes.It also includes average production data, indicating the daily output per weaver in meters." ; dct:format "CSV" ; dct:issued "2024-06-05T15:36:24.801927"^^xsd:dateTime ; dct:modified "2024-06-05T15:40:57.923016"^^xsd:dateTime ; dct:title "Handloom Household LoomType and Weaving Patterns" ; dcat:accessURL ; dcat:byteSize 1154.0 . a dcat:Distribution ; dct:description "The dataset provides insights into the demographic composition of handloom households, including residence types and gender distribution among weavers. It delves into socio-economic aspects, detailing living conditions, household ownership, and financial dynamics, encompassing indebtedness, loan sources, and income brackets. Additionally, it offers a comprehensive view of yarn preferences, sourcing practices, and primary sales channels for handloom products." ; dct:format "CSV" ; dct:issued "2024-06-05T16:32:09.345352"^^xsd:dateTime ; dct:modified "2024-06-05T16:33:44.279593"^^xsd:dateTime ; dct:title "Handloom Households Demographics, Yarn And Dye Preferences, Sourcing And Sales" ; dcat:accessURL ; dcat:byteSize 3564.0 . a dcat:Distribution ; dct:description "The dataset presents the demographic distribution of allied and handloom workers in Meghalaya, highlighting factors such as age, gender, educational backgrounds, religious affiliations, and caste categories. It also provides insights into the workers' financial inclusion, including the presence of bank accounts and Aadhar cards, which indicates their access to important financial services." ; dct:format "CSV" ; dct:issued "2024-06-05T16:11:16.912062"^^xsd:dateTime ; dct:modified "2024-06-05T16:11:39.566183"^^xsd:dateTime ; dct:title "State Wise Demographic Distribution Of Allied And Handloom Workers " ; dcat:accessURL ; dcat:byteSize 1373.0 . a dcat:Dataset ; dct:description "The Mother's Program in Meghalaya aims to enhance maternal and child health outcomes by collecting, managing, and analyzing data on key indicators. This data package encompasses various datasets related to children's health, maternal well-being, healthcare utilization, and program effectiveness." ; dct:identifier "c089ae01-7d72-43e8-b906-d7180713be97" ; dct:issued "2023-11-17T05:53:24.316921"^^xsd:dateTime ; dct:modified "2023-11-17T12:07:58.690360"^^xsd:dateTime ; dct:publisher ; dct:title "Mothers Program" ; dcat:distribution , , , , , , , , , , , , , ; dcat:landingPage . a dcat:Distribution ; dct:description "The \"RBSK Screened\" dataset encompasses comprehensive data related to the Rashtriya Bal Swasthya Karyakram (RBSK), an initiative aimed at screening and early intervention for children from birth to 18 years to cover 4 'D's viz. Defects at birth, Diseases, Deficiencies, and Development Delays including Disabilities. This dataset specifically focuses on data collected from the state of Meghalaya, India. It includes detailed information on the number of children screened, along with various health parameters and conditions assessed during these screenings." ; dct:format "CSV" ; dct:issued "2023-11-17T06:14:13.907970"^^xsd:dateTime ; dct:modified "2023-11-17T06:27:16.674697"^^xsd:dateTime ; dct:title "RBSK Screened" ; dcat:accessURL ; dcat:byteSize 9618.0 ; dcat:mediaType "text/csv" . a dcat:Distribution ; dct:description "The \"Meghalaya Deliveries\" dataset is sourced from the Health and Family Welfare Department of Meghalaya. It provides information on deliveries in various regions of Meghalaya, including details such as the year of delivery, state name, district name, block name, and relevant codes. The dataset encompasses key metrics like the percentage of institutional deliveries in a block, the total number of deliveries, and the expected number of deliveries." ; dct:format "CSV" ; dct:issued "2023-11-17T06:08:06.946501"^^xsd:dateTime ; dct:modified "2023-11-17T06:14:31.470840"^^xsd:dateTime ; dct:title "Mothers Deliveries" ; dcat:accessURL ; dcat:byteSize 8701.0 ; dcat:mediaType "text/csv" . a dcat:Distribution ; dct:description "The \"Infant Deaths,\" is a comprehensive collection of data specifically focused on the number of infant deaths in the state of Meghalaya, India. It is meticulously compiled to provide a detailed view of infant mortality across various administrative levels, including state, district, and block. The data is critical for understanding regional health trends, especially in infant healthcare, and aids in policy making, resource allocation, and healthcare interventions targeted at reducing infant mortality." ; dct:format "CSV" ; dct:issued "2023-11-17T12:04:55.801691"^^xsd:dateTime ; dct:modified "2023-11-17T12:06:53.988748"^^xsd:dateTime ; dct:title "Infant Deaths" ; dcat:accessURL ; dcat:byteSize 5923.0 ; dcat:mediaType "text/csv" . a dcat:Distribution ; dct:description "The \"Mother Anaemia\" dataset is sourced from the Health and Family Welfare Department of Meghalaya. This dataset provides information related to anemia among mothers, encompassing various geographical levels such as state, district, and block. The data spans multiple years and includes key indicators related to the prevalence of anemia among mothers." ; dct:format "CSV" ; dct:issued "2023-11-17T06:05:34.225997"^^xsd:dateTime ; dct:modified "2023-11-17T06:15:09.890731"^^xsd:dateTime ; dct:title "Mothers Anaemia Status" ; dcat:accessURL ; dcat:byteSize 18605.0 ; dcat:mediaType "text/csv" . a dcat:Distribution ; dct:description "This dataset provides comprehensive information on child vaccination rates in the state of Meghalaya, India. It focuses on the percentage of children vaccinated against various diseases within different administrative divisions of the state. The data is categorized by year and location (state, district, and block levels) and includes specific vaccination types like BCG, Hepatitis B, Vitamin K, and Oral Poliovirus Vaccines." ; dct:format "CSV" ; dct:issued "2023-11-17T06:15:18.915995"^^xsd:dateTime ; dct:modified "2023-11-17T06:27:28.293743"^^xsd:dateTime ; dct:title "Zero Day Vaccination" ; dcat:accessURL ; dcat:byteSize 4769.0 ; dcat:mediaType "text/csv" . a dcat:Distribution ; dct:description "This \"Mothers ANC Done\" dataset is sourced from the MEG Health Portal. It primarily focuses on Antenatal Care (ANC) services provided to mothers across various regions in India. The dataset spans multiple years and offers a detailed breakdown of ANC services by state, district, and block levels. Its primary objective is to track and analyze the reach and effectiveness of ANC services, which are critical for the health of pregnant women and their babies." ; dct:format "CSV" ; dct:issued "2023-11-17T06:02:58.950158"^^xsd:dateTime ; dct:modified "2023-11-17T06:25:56.452248"^^xsd:dateTime ; dct:title "Mothers Antenatal Care (ANC) Done" ; dcat:accessURL ; dcat:byteSize 8127.0 ; dcat:mediaType "text/csv" . a dcat:Distribution ; dct:description "This dataset encompasses vital statistics related to stillbirths in the state of Meghalaya, India. It meticulously records the number and percentage of stillbirths across various administrative levels, including state, district, and block, for each year. The data is instrumental for understanding regional patterns and trends in stillbirth occurrences within the state." ; dct:format "CSV" ; dct:issued "2023-11-17T12:03:08.177318"^^xsd:dateTime ; dct:modified "2023-11-17T12:06:26.919272"^^xsd:dateTime ; dct:title "Still Birth Childrens" ; dcat:accessURL ; dcat:byteSize 7827.0 ; dcat:mediaType "text/csv" . a dcat:Distribution ; dct:description "The \"Maternal Deaths\" dataset is a comprehensive collection of data regarding maternal mortality in the state of Meghalaya, India. It provides detailed records of maternal deaths across various administrative levels, including state, district, and block. This dataset is pivotal for understanding the patterns, geographical distribution, and trends in maternal mortality in Meghalaya, which can inform healthcare policies and interventions." ; dct:format "CSV" ; dct:issued "2023-11-17T12:05:49.011719"^^xsd:dateTime ; dct:modified "2023-11-17T12:07:07.102269"^^xsd:dateTime ; dct:title "Maternal Deaths" ; dcat:accessURL ; dcat:byteSize 6552.0 ; dcat:mediaType "text/csv" . a dcat:Distribution ; dct:description "This dataset, named \"Pregnant Women in Meghalaya,\" is sourced from the Health and Family Welfare Department of Meghalaya. It provides information on pregnancies in the state, including details such as the year, state name, district name, block name, pregnancy type (teenage or adult), total number of pregnant women, percentage of pregnant women, and the number of expected deliveries in each block for a given year." ; dct:format "CSV" ; dct:issued "2023-11-17T06:10:47.827986"^^xsd:dateTime ; dct:modified "2023-11-17T06:13:21.565848"^^xsd:dateTime ; dct:title "Pregnant Women in Meghalaya" ; dcat:accessURL ; dcat:byteSize 18857.0 ; dcat:mediaType "text/csv" . a dcat:Distribution ; dct:description "The \"Meghalaya Registrations\" dataset is sourced from the Health and Family Welfare Department of Meghalaya. It contains information on women registrations in various districts and blocks within the state. The dataset spans multiple years and provides insights into the number of women registered for health-related purposes" ; dct:issued "2023-11-17T12:07:56.637204"^^xsd:dateTime ; dct:modified "2023-11-17T12:07:58.230556"^^xsd:dateTime ; dct:title "Mothers Registration" . a dcat:Distribution ; dct:description "The \"Mother Registration Reporting\" dataset is sourced from the Health and Family Welfare Department of Meghalaya. This dataset provides information on registrations related to pregnancies, specifically focusing on the registration process through the Mother App. The data includes details such as the year of pregnancy reported, state, district, block, registration type, and the number of applicants registered during each trimester." ; dct:format "CSV" ; dct:issued "2023-11-17T06:09:31.270137"^^xsd:dateTime ; dct:modified "2023-11-17T06:14:00.741828"^^xsd:dateTime ; dct:title "Mothers Registration Reporting" ; dcat:accessURL ; dcat:byteSize 19165.0 ; dcat:mediaType "text/csv" . a dcat:Distribution ; dct:description "This dataset, provides a comprehensive overview of underweight children across various administrative levels in Meghalaya, India. It aims to present detailed information regarding the prevalence of underweight children, categorized by year, state, district, and block levels. This data is crucial for understanding the nutritional status of children in this region and for formulating targeted interventions." ; dct:format "CSV" ; dct:issued "2023-11-17T12:03:39.318761"^^xsd:dateTime ; dct:modified "2023-11-17T12:06:41.485424"^^xsd:dateTime ; dct:title "Underweight Childrens" ; dcat:accessURL ; dcat:byteSize 8010.0 ; dcat:mediaType "text/csv" . a dcat:Distribution ; dct:description "The \"Meghalaya Claim Paid\" dataset originates from the Health and Family Welfare Department in Meghalaya. It provides detailed information on claims paid in various districts, including state and district names, state and district codes, as well as monthly data on the number and amount of claims paid." ; dct:format "CSV" ; dct:issued "2023-11-17T05:55:11.864379"^^xsd:dateTime ; dct:modified "2023-11-17T06:25:29.556283"^^xsd:dateTime ; dct:title "Claims Paid" ; dcat:accessURL ; dcat:byteSize 16453.0 ; dcat:mediaType "text/csv" . a dcat:Distribution ; dct:description "The \"Mothers with High Risk\" dataset is a comprehensive collection of data focusing on maternal health risks in the state of Meghalaya, India. The dataset is designed to track and analyze the number and percentage of high-risk pregnancies across different administrative levels including states, districts, and blocks. This data is crucial for healthcare professionals, policymakers, and researchers to understand the prevalence of high-risk pregnancies and to implement targeted interventions to improve maternal health outcomes." ; dct:format "CSV" ; dct:issued "2023-11-17T06:04:04.049217"^^xsd:dateTime ; dct:modified "2023-11-17T06:16:46.157533"^^xsd:dateTime ; dct:title "Mothers with High Risk" ; dcat:accessURL ; dcat:byteSize 8786.0 ; dcat:mediaType "text/csv" . a dcat:Dataset ; dct:description "\"Crime Statistics\" is a comprehensive collection of datasets focused on various dimensions of crime within a region, state, and district provided by the National Crime Records Bureau (NCRB). This dataset collection is invaluable for researchers, policymakers, law enforcement agencies, and social welfare organizations. It provides a multifaceted view of crime, covering different victim groups and crime types, ranging from crimes against specific social groups to cybercrimes and missing person cases. The datasets included help analyze trends, formulate targeted policies, and implement crime prevention strategies." ; dct:identifier "c0c57ded-d115-40af-85a4-b5c22709b86c" ; dct:issued "2023-10-19T06:13:12.957084"^^xsd:dateTime ; dct:modified "2024-12-03T11:24:20.815623"^^xsd:dateTime ; dct:publisher ; dct:title "Crime Statistics" ; dcat:distribution , , , , , , , , , , , , , , , ; dcat:landingPage . a dcat:Distribution ; dct:description "This dataset pertains to crimes committed against Scheduled Castes (SC) in Meghalaya. It provides detailed data by year and district level, further categorized by various crime types defined under different sections of the Indian Penal Code (IPC) and other relevant acts. It serves as a comprehensive repository for understanding the nature, frequency, and geographical distribution of such crimes." ; dct:format "CSV" ; dct:issued "2024-12-03T10:34:03.668798"^^xsd:dateTime ; dct:modified "2024-12-03T11:21:00.659125"^^xsd:dateTime ; dct:title "Districtwise Crimes Against SC 2016" ; dcat:accessURL ; dcat:byteSize 1827.0 . a dcat:Distribution ; dct:description "Data on crimes against children in each district is a pivotal resource. It offers valuable insights into child safety, aiding policymakers, law enforcement, and communities. By identifying crime trends and hotspots, resources can be directed effectively. It enables the assessment of child protection measures, highlighting areas for improvement. Communities and organizations can use this data for advocacy and awareness campaigns, fostering a safer environment. In essence, it empowers evidence-based policy formulation to ensure the welfare of our nation's youth, reflecting its immense significance in child protection and welfare efforts." ; dct:format "CSV" ; dct:issued "2024-12-03T10:33:22.566807"^^xsd:dateTime ; dct:modified "2024-12-03T11:20:47.453959"^^xsd:dateTime ; dct:title "Districtwise Crime Against Children 2017 onwards" ; dcat:accessURL ; dcat:byteSize 21324.0 . a dcat:Distribution ; dct:description "The data of IPC (Indian Penal Code) crimes in each district is a crucial aspect of understanding a region's law and order situation. This data provides valuable insights into the prevalence and nature of criminal activities across districts. Data on IPC crimes in each district is a powerful tool for maintaining law and order, devising crime prevention strategies, and ensuring the safety and security of citizens. It serves as the foundation for evidence-based policymaking and targeted law enforcement efforts." ; dct:format "CSV" ; dct:issued "2024-12-03T10:40:39.713932"^^xsd:dateTime ; dct:modified "2024-12-03T11:23:03.396873"^^xsd:dateTime ; dct:title "Districtwise IPC crimes 2017 onwards" ; dcat:accessURL ; dcat:byteSize 41974.0 . a dcat:Distribution ; dct:description "The \"Crime against ST's\" dataset provides comprehensive data regarding crimes committed against Scheduled Tribes (ST) in Meghalaya. The dataset is sourced from the official database of the National Crime Records Bureau (NCRB), which collects and presents nationwide data on crimes. This dataset specifically details the types of crimes, the number of incidents, and categorizes them based on their Indian Penal Code (IPC) sections. Data is categorized yearly and covers information at the state and district levels." ; dct:format "CSV" ; dct:issued "2024-12-03T10:36:16.792764"^^xsd:dateTime ; dct:modified "2024-12-03T11:21:41.086559"^^xsd:dateTime ; dct:title "Districtwise Crime Against STs 2017 onwards" ; dcat:accessURL ; dcat:byteSize 19713.0 . a dcat:Distribution ; dct:description "Data on crimes against women in each district holds immense significance for lawmaking and policy formulation. It provides a clear understanding of the prevalence, trends, and patterns of such crimes, enabling evidence-based decision-making. This data helps lawmakers identify areas with high incidence rates, facilitating the allocation of resources and intervention strategies where they are needed most. It also aids in evaluating the effectiveness of existing legal measures and the need for new legislation. Furthermore, this data raises awareness about the challenges women face, fostering a societal and legislative commitment to gender equality and women's safety. Ultimately, it plays a pivotal role in shaping laws and policies aimed at preventing and addressing crimes against women." ; dct:format "CSV" ; dct:issued "2024-12-03T10:36:56.593305"^^xsd:dateTime ; dct:modified "2024-12-03T11:21:54.870476"^^xsd:dateTime ; dct:title "Districtwise Crime Against Women 2016" ; dcat:accessURL ; dcat:byteSize 2260.0 . a dcat:Distribution ; dct:description "Data on crimes against children in each district is a pivotal resource. It offers valuable insights into child safety, aiding policymakers, law enforcement, and communities. By identifying crime trends and hotspots, resources can be directed effectively. It enables the assessment of child protection measures, highlighting areas for improvement. Communities and organizations can use this data for advocacy and awareness campaigns, fostering a safer environment. In essence, it empowers evidence-based policy formulation to ensure the welfare of our nation's youth, reflecting its immense significance in child protection and welfare efforts." ; dct:format "CSV" ; dct:issued "2024-12-03T10:32:37.054740"^^xsd:dateTime ; dct:modified "2024-12-03T11:20:34.013578"^^xsd:dateTime ; dct:title "Districtwise Crime Against Children 2016" ; dcat:accessURL ; dcat:byteSize 2546.0 . a dcat:Distribution ; dct:description "Data is about the count of SLL crimes in each district provides a foundation for informed lawmaking and effective law enforcement. It guides resource allocation, legislative improvements, community engagement, and collaborative efforts to combat organized crime, ultimately fostering safer and more secure communities." ; dct:format "CSV" ; dct:issued "2024-12-03T10:45:05.066463"^^xsd:dateTime ; dct:modified "2024-12-03T11:24:20.822666"^^xsd:dateTime ; dct:title "Districtwise SLL crimes 2017 onwards" ; dcat:accessURL ; dcat:byteSize 28269.0 . a dcat:Distribution ; dct:description "The data of IPC (Indian Penal Code) crimes in each district is a crucial aspect of understanding a region's law and order situation. This data provides valuable insights into the prevalence and nature of criminal activities across districts. Data on IPC crimes in each district is a powerful tool for maintaining law and order, devising crime prevention strategies, and ensuring the safety and security of citizens. It serves as the foundation for evidence-based policymaking and targeted law enforcement efforts." ; dct:format "CSV" ; dct:issued "2024-12-03T10:39:47.224756"^^xsd:dateTime ; dct:modified "2024-12-03T11:22:45.539387"^^xsd:dateTime ; dct:title "Districtwise IPC crimes 2016" ; dcat:accessURL ; dcat:byteSize 3251.0 . a dcat:Distribution ; dct:description "This dataset \"Crime by Juveniles,\" offers an exhaustive overview of various offenses committed by juveniles across different districts in Meghalaya. Sourced from the National Crime Records Bureau (NCRB) website, the dataset breaks down numerous crimes under different sections of the Indian Penal Code (IPC), ranging from violent crimes such as murder to cybercrimes like circulating false or fake news." ; dct:format "CSV" ; dct:issued "2024-12-03T10:38:57.176329"^^xsd:dateTime ; dct:modified "2024-12-03T11:22:31.094044"^^xsd:dateTime ; dct:title "Districtwise IPC Crime by Juveniles 2017 onwards" ; dcat:accessURL ; dcat:byteSize 41553.0 . a dcat:Distribution ; dct:description "This dataset pertains to crimes committed against Scheduled Castes (SC) in Meghalaya. It provides detailed data by year and district level, further categorized by various crime types defined under different sections of the Indian Penal Code (IPC) and other relevant acts. It serves as a comprehensive repository for understanding the nature, frequency, and geographical distribution of such crimes." ; dct:format "CSV" ; dct:issued "2024-12-03T10:34:41.603172"^^xsd:dateTime ; dct:modified "2024-12-03T11:21:13.575728"^^xsd:dateTime ; dct:title "Districtwise Crimes Against SC 2017 onwards" ; dcat:accessURL ; dcat:byteSize 17030.0 . a dcat:Distribution ; dct:description "The dataset provides comprehensive data regarding crimes committed against Scheduled Tribes (ST) in Meghalaya. The dataset is sourced from the official database of the National Crime Records Bureau (NCRB), which collects and presents nationwide data on crimes. This dataset specifically details the types of crimes, the number of incidents, and categorizes them based on their Indian Penal Code (IPC) sections. " ; dct:format "CSV" ; dct:issued "2024-12-03T10:35:28.590911"^^xsd:dateTime ; dct:modified "2024-12-03T11:21:25.102193"^^xsd:dateTime ; dct:title "Districtwise Crime Against STs 2016" ; dcat:accessURL ; dcat:byteSize 1828.0 . a dcat:Distribution ; dct:description "The data for the count of cybercrimes in each district is collected from multiple sources, including law enforcement agencies, cybercrime units, and online reporting platforms. These sources document various cybercrimes, such as hacking, online fraud, identity theft, and cyberbullying. The data includes details about the nature of the crime, the location of the incident, the parties involved, and the outcomes of investigations. It is essential for law enforcement, policymakers, and cybersecurity experts to monitor and analyze this data to develop strategies for preventing and addressing cybercrimes effectively. Additionally, public awareness campaigns and educational programs are often based on these statistics to promote online safety." ; dct:format "CSV" ; dct:issued "2024-12-03T10:38:06.741030"^^xsd:dateTime ; dct:modified "2024-12-03T11:22:14.093116"^^xsd:dateTime ; dct:title "Districtwise Cyber Crimes 2017 onwards" ; dcat:accessURL ; dcat:byteSize 18261.0 . a dcat:Distribution ; dct:description "The dataset provides data regarding individuals who went missing in different districts of Meghalaya. The dataset segregates the missing persons based on gender (Male, Female, Transgender) and further categorizes them based on age groups. This helps in understanding the demographics of missing persons on a district and state level." ; dct:format "CSV" ; dct:issued "2024-12-03T10:42:21.616282"^^xsd:dateTime ; dct:modified "2024-12-03T11:23:34.420400"^^xsd:dateTime ; dct:title "Districtwise Missing Persons 2021 onwards" ; dcat:accessURL ; dcat:byteSize 3818.0 . a dcat:Distribution ; dct:description "The \"SLL Crime by Juveniles\" dataset typically contains data on crimes committed by juveniles under Special and Local Laws (SLL) in a specific region or district. It includes information such as the type of crime, the age and gender of the juvenile offenders, the year of the offense, and the legal outcomes. This dataset is often used to analyze trends in juvenile delinquency, identify common offenses, and inform policy decisions aimed at preventing youth crime. It serves as a critical resource for understanding patterns of juvenile behavior and the effectiveness of legal interventions." ; dct:format "CSV" ; dct:issued "2024-12-03T10:43:14.792064"^^xsd:dateTime ; dct:modified "2024-12-03T11:23:49.141670"^^xsd:dateTime ; dct:title "Districtwise SLL Crime by Juveniles 2017 onwards" ; dcat:accessURL ; dcat:byteSize 28179.0 . a dcat:Distribution ; dct:description "Data is about the count of SLL crimes in each district provides a foundation for informed lawmaking and effective law enforcement. It guides resource allocation, legislative improvements, community engagement, and collaborative efforts to combat organized crime, ultimately fostering safer and more secure communities." ; dct:format "CSV" ; dct:issued "2024-12-03T10:44:08.927411"^^xsd:dateTime ; dct:modified "2024-12-03T11:24:04.143367"^^xsd:dateTime ; dct:title "Districtwise SLL crimes 2016" ; dcat:accessURL ; dcat:byteSize 4968.0 . a dcat:Distribution ; dct:description "The dataset provides comprehensive data regarding individuals who went missing in different districts of Meghalaya. The dataset segregates the missing persons based on gender (Male, Female, Transgender) and further categorizes them based on age groups. This helps in understanding the demographics of missing persons on a district and state level for the mentioned year." ; dct:format "CSV" ; dct:issued "2024-12-03T10:41:34.151938"^^xsd:dateTime ; dct:modified "2024-12-03T11:23:19.142585"^^xsd:dateTime ; dct:title "Districtwise Missing Persons 2017-2020" ; dcat:accessURL ; dcat:byteSize 7984.0 . a dcat:Dataset ; dct:description "India's census housing datasets offer a deep dive into the nation's living conditions. They classify dwellings by type and construction material, shedding light on construction quality. The data also details ownership versus tenancy and essential amenities like water and electricity. Insights into housing size and special housing types, such as hostels, further enrich the picture. These datasets are invaluable for understanding and addressing India's diverse housing needs." ; dct:identifier "c4200c5b-307a-4bca-8887-b4018607b2c1" ; dct:issued "2024-06-05T11:27:36.032415"^^xsd:dateTime ; dct:modified "2024-06-06T06:01:29.204856"^^xsd:dateTime ; dct:publisher ; dct:title "Census Housing" ; dcat:distribution , , ; dcat:landingPage . a dcat:Distribution ; dct:description "The dataset captures detailed information on household amenities across different states and districts of India, including household conditions, materials used in construction, availability of facilities and services, and household assets." ; dct:format "CSV" ; dct:issued "2024-06-05T11:27:36.324261"^^xsd:dateTime ; dct:modified "2024-06-05T12:10:17.685797"^^xsd:dateTime ; dct:title "Census Household Amenities" ; dcat:accessURL ; dcat:byteSize 16146.0 . a dcat:Distribution ; dct:description "The Census House Utilization dataset for Meghalaya offers insights into the diverse purposes of census houses in both rural and urban areas. It delineates the various uses, including residential, commercial, educational, hospitality, healthcare, industrial, religious, and other non-residential purposes. The dataset also captures information on the number of locked and vacant houses across different regions." ; dct:format "CSV" ; dct:issued "2024-06-06T06:01:06.302652"^^xsd:dateTime ; dct:modified "2024-06-06T06:01:29.210278"^^xsd:dateTime ; dct:title "Census House Utilization" ; dcat:accessURL ; dcat:byteSize 877.0 . a dcat:Distribution ; dct:description "The Census House Floor Material analysis illuminates the flooring choices in Meghalaya, encompassing both rural and urban areas. It showcases the wide array of materials utilized in different contexts and reveals how decision-making trends have evolved over time." ; dct:format "CSV" ; dct:issued "2024-06-05T14:46:33.170984"^^xsd:dateTime ; dct:modified "2024-06-06T06:00:21.253083"^^xsd:dateTime ; dct:title "Census House Floor Material" ; dcat:accessURL ; dcat:byteSize 1013.0 . a dcat:Dataset ; dct:description "The Environment Information System (ENVIS) Centre on Wildlife & Protected Areas is a pivotal initiative by India, dedicated to the collection, collation, and dissemination of information concerning the nation's diverse wildlife and their designated conservation zones. This dataset encompasses intricate details about various species, their habitats, conservation status, and the geography of protected areas such as national parks and wildlife sanctuaries. It serves as a crucial resource for conservationists, researchers, policymakers, and nature enthusiasts seeking to understand and protect India's rich biodiversity. By offering insights into the challenges and successes of wildlife conservation, the ENVIS Centre dataset stands as a beacon of India's commitment to environmental stewardship and transparent data sharing. Users can delve deep into this resource to foster evidence-based conservation strategies and heighten awareness about India's natural treasures." ; dct:identifier "ca61c0c8-8bab-47fd-a468-6f3fed066d3a" ; dct:issued "2024-06-05T11:17:03.151716"^^xsd:dateTime ; dct:modified "2024-12-03T17:22:06.692475"^^xsd:dateTime ; dct:publisher ; dct:title "Wildlife and Protected Areas" ; dcat:distribution ; dcat:landingPage . a dcat:Distribution ; dct:description "This dataset compiles daily state-level records of normal rainfall, actual rainfall, percentage deviation from normal rainfall, and rainfall storage in Meghalaya. The data, sourced from the Indian Meteorological Department, spans from 2009 to 2024, offering comprehensive insights into the state's precipitation patterns over the years." ; dct:format "CSV" ; dct:issued "2024-06-05T11:17:03.388234"^^xsd:dateTime ; dct:modified "2024-12-03T17:22:06.696794"^^xsd:dateTime ; dct:title "Daily Rainfall at State Level" ; dcat:accessURL ; dcat:byteSize 340599.0 ; dcat:mediaType "text/csv" . a dcat:Dataset ; dct:description "The Socio Economic Caste Census (SECC) is a comprehensive exercise undertaken by the Government of India to gather detailed information about the socio-economic status and caste demographics of Indian households. Conducted in 2011, this census was distinct from the traditional decennial population census and aimed to provide a holistic understanding of the living conditions and deprivation levels of people across the country. The SECC data encompasses various parameters, including income, occupation, land ownership, and educational status. Additionally, it marked a significant effort to collect caste-wise population data, a feat not attempted since the pre-independence census of 1931. The findings from the SECC play a pivotal role in shaping targeted policy interventions and welfare schemes for the marginalized and underprivileged sections of society." ; dct:identifier "d80809cb-f5db-4200-9f57-5753dd60320e" ; dct:issued "2024-06-05T11:54:37.071165"^^xsd:dateTime ; dct:modified "2024-06-06T05:24:45.910975"^^xsd:dateTime ; dct:publisher ; dct:title "Socio Economic Caste Census" ; dcat:distribution ; dcat:landingPage . a dcat:Distribution ; dct:description "The Socio-Economic Caste Census (SECC) 2011 is a comprehensive survey conducted in rural and urban India to identify and rank households based on their socio-economic status. It provides detailed information on demographic and economic indicators, such as household composition, education, employment, land ownership, and access to basic amenities. This dataset has been instrumental in shaping government programs and policies aimed at poverty reduction and social inclusion, including initiatives like affordable housing and clean cooking fuel for low-income households." ; dct:format "CSV" ; dct:issued "2024-06-06T05:24:40.189852"^^xsd:dateTime ; dct:modified "2024-06-06T05:24:45.686559"^^xsd:dateTime ; dct:title "Socio Economic Caste Census 2011" ; dcat:accessURL ; dcat:byteSize 19318.0 ; dcat:mediaType "text/csv" . a dcat:Dataset ; dct:description "The \"Coal Usage in India\" package thoroughly explores coal's role within India, providing a yearly snapshot that informs on various aspects of coal consumption, production, and reserves. Designed to cater to analysts, policymakers, industry stakeholders, and researchers, this package encapsulates detailed datasets to paint a comprehensive picture of India's coal ecosystem." ; dct:identifier "d819b546-874b-4a6b-a027-5ec304d7f0ed" ; dct:issued "2024-06-05T11:13:21.032571"^^xsd:dateTime ; dct:modified "2024-06-05T12:05:50.948819"^^xsd:dateTime ; dct:publisher ; dct:title "Coal Usage in India" ; dcat:distribution , , , , ; dcat:landingPage . a dcat:Distribution ; dct:description "The dataset provides an overview of coal reserves in Meghalaya and other states, allowing for an assessment of the distribution and scale of coal resources, which is crucial for evaluating extraction potential and resource availability." ; dct:format "CSV" ; dct:issued "2024-06-05T11:13:30.374296"^^xsd:dateTime ; dct:modified "2024-06-05T12:04:21.573024"^^xsd:dateTime ; dct:title "Coal Reserves" ; dcat:accessURL ; dcat:byteSize 669.0 . a dcat:Distribution ; dct:description "The dataset offers detailed insights into the distribution and quantity of coal reserves in Meghalaya across different depths, facilitating assessments of resource availability and extraction potential based on depth-specific considerations. This information is valuable for strategic resource planning and sustainable mining practices in the region." ; dct:format "CSV" ; dct:issued "2024-06-05T11:13:46.150587"^^xsd:dateTime ; dct:modified "2024-06-05T12:05:07.718322"^^xsd:dateTime ; dct:title "Coal Reserves by Depth" ; dcat:accessURL ; dcat:byteSize 2695.0 . a dcat:Distribution ; dct:description "The dataset offers insights into domestic coal production levels in Meghalaya, allowing for an assessment of the state's contribution to the overall coal production in India. This information is valuable for understanding Meghalaya's role in domestic coal supply and its impact on the national coal production landscape." ; dct:format "CSV" ; dct:issued "2024-06-05T11:13:56.480559"^^xsd:dateTime ; dct:modified "2024-06-05T12:05:50.954344"^^xsd:dateTime ; dct:title "Domestic Coal Production" ; dcat:accessURL ; dcat:byteSize 629.0 . a dcat:Distribution ; dct:description "The dataset offers detailed insights into coal consumption patterns and trends at the state and sector levels in Meghalaya, enabling a granular analysis for informed decision-making on energy planning and policy formulation." ; dct:format "CSV" ; dct:issued "2024-06-05T11:13:21.332864"^^xsd:dateTime ; dct:modified "2024-06-05T12:04:09.372477"^^xsd:dateTime ; dct:title "Coal Consumption" ; dcat:accessURL ; dcat:byteSize 1286.0 . a dcat:Distribution ; dct:description "The dataset offers detailed insights into the distribution and quantity of various types of coal reserves in Meghalaya and other states, aiding assessments of resource availability and extraction potential for different coal types. This information is valuable for strategic resource planning and sustainable mining practices in the region." ; dct:format "CSV" ; dct:issued "2024-06-05T11:13:38.245195"^^xsd:dateTime ; dct:modified "2024-06-05T12:04:45.029192"^^xsd:dateTime ; dct:title "Coal Reserves by Coal Type" ; dcat:accessURL ; dcat:byteSize 897.0 . a dcat:Dataset ; dct:description "The Poshan Tracker, initiated by the Ministry of Women and Child Development, is a digital tool designed to monitor and evaluate the nutritional interventions and outcomes under the Poshan Abhiyaan, India's flagship program to combat malnutrition. It facilitates real-time tracking and monitoring of the nutritional status, growth, and development of women and children across the country. The tool is equipped to capture data related to health and nutrition indicators, ensuring timely interventions and improved service delivery. By leveraging technology, the Poshan Tracker aims to enhance the efficiency, transparency, and accountability of the nutritional initiatives undertaken by the government. Overall, it serves as a pivotal instrument in India's endeavors to achieve a malnutrition-free nation." ; dct:identifier "e3240ae4-e451-4d9e-b537-7cde781cc7a9" ; dct:issued "2024-06-05T12:40:50.525260"^^xsd:dateTime ; dct:modified "2024-06-05T15:22:05.345775"^^xsd:dateTime ; dct:publisher ; dct:title "Poshan Tracker" ; dcat:distribution ; dcat:landingPage . a dcat:Distribution ; dct:description "The Poshan Tracker dataset for Meghalaya offers insights into the implementation and impact of the POSHAN Abhiyaan program at the district level. It provides detailed information on the coverage of various interventions, including supplementary nutrition, health and hygiene education, and growth monitoring, aiming to enhance the nutritional well-being of women and children in the region. This dataset is essential for evaluating program effectiveness and directing resources to areas most in need of support for improved health outcomes." ; dct:format "CSV" ; dct:issued "2024-06-05T12:40:50.821184"^^xsd:dateTime ; dct:modified "2024-06-05T15:22:05.350231"^^xsd:dateTime ; dct:title "District Wise Poshan Statistics" ; dcat:accessURL ; dcat:byteSize 16733.0 . a dcat:Dataset ; dct:description "Cold chains offer significant advantages in enhancing perishable products' shelf life, quality, and market reach. Leveraging datasets from the NHB, \"Integrated Cold Chain Availability,\" and from the Ministry of Food Processing Industries, \"Approved Cold Chain Projects District Level Aggregates,\" stakeholders can identify existing cold chain infrastructure and future projects, optimizing the supply chain. A robust cold chain network reduces post-harvest losses, ensuring farmers receive better produce returns. Moreover, it gives consumers access to fresh and quality products throughout the year. By analyzing these datasets, policymakers and businesses can make informed decisions, fostering the growth of the agri-business sector in India." ; dct:identifier "eece99c1-6f4c-4710-9d02-d4c5658248b4" ; dct:issued "2024-06-05T16:02:12.597206"^^xsd:dateTime ; dct:modified "2024-06-05T16:03:03.863751"^^xsd:dateTime ; dct:publisher ; dct:title "Cold Chains" ; dcat:distribution ; dcat:landingPage . a dcat:Distribution ; dct:description "The Scheme for Integrated Cold Chain & Value Addition Infrastructure in Meghalaya aims to establish integrated cold chain facilities and value addition infrastructure to minimize post-harvest losses for non-horticulture produce, dairy, meat, poultry, and marine/fish (excluding shrimp). This includes comprehensive cold chain availability and component details to ensure uninterrupted preservation from the farm gate to the end consumer." ; dct:format "CSV" ; dct:issued "2024-06-05T16:03:03.025353"^^xsd:dateTime ; dct:modified "2024-06-05T16:03:03.868314"^^xsd:dateTime ; dct:title "Integrated Cold Chain Availability Component Details" ; dcat:accessURL ; dcat:byteSize 249.0 ; dcat:mediaType "text/csv" . a dcat:Dataset ; dct:description "The Census Primary Census Abstract Dataset stands as a pivotal representation of India's vast demographic tapestry. Derived from comprehensive census operations, this dataset offers a detailed perspective on population distribution, spanning the breadth of states and diving deep into urban and rural demarcations. It intricately categorizes the populace by parameters like gender, age, social groups, and literacy, while also shedding light on the employment landscape through classifications like working status and occupation types. For policymakers, academicians, and researchers, this dataset is an indispensable tool, providing a nuanced understanding of India's multifaceted demographic composition. It exemplifies the nation's dedication to transparency, serving as a robust foundation for informed decision-making and strategic planning." ; dct:identifier "ef726171-b797-44a5-a2d5-3a1eef1a044f" ; dct:issued "2024-06-05T11:28:04.764926"^^xsd:dateTime ; dct:modified "2024-12-03T16:39:27.837722"^^xsd:dateTime ; dct:publisher ; dct:title "Census PCA Demography" ; dcat:distribution , , , ; dcat:landingPage . a dcat:Distribution ; dct:description "The Census PCA Demography - States dataset for Meghalaya presents comprehensive information about the working status, occupation, and demographic characteristics of the Indian population. It offers insights into the distribution of main workers, marginal workers, non-workers, and those seeking/available for work across different parameters such as age, gender, literacy, and social groupings. The dataset also distinguishes between rural and urban settings, providing a deeper understanding of the population dynamics in Meghalaya." ; dct:format "CSV" ; dct:issued "2024-06-05T11:32:59.795871"^^xsd:dateTime ; dct:modified "2024-06-05T12:11:06.634296"^^xsd:dateTime ; dct:title "Census PCA Demography - States" ; dcat:accessURL ; dcat:byteSize 29611.0 . a dcat:Distribution ; dct:description "The Census PCA Demography - Districts dataset for Meghalaya offers a comprehensive understanding of the district-level demography. It focuses on the working status of the population, distinguishing between main workers, marginal workers, and non-workers, including those seeking or available for work. The dataset further provides insights into various demographic factors such as age, gender, literacy, social group, and occupation, allowing for a detailed analysis of the district's workforce composition." ; dct:format "CSV" ; dct:issued "2024-06-05T11:28:10.438581"^^xsd:dateTime ; dct:modified "2024-06-05T12:11:44.037529"^^xsd:dateTime ; dct:title "Census PCA Demography - Districts" ; dcat:accessURL ; dcat:byteSize 324924.0 . a dcat:Distribution ; dct:description "The Census PCA Demography - Subdistricts dataset for Meghalaya provides a comprehensive view of the working population demographics in different subdistricts. It includes information on main workers, marginal workers, and non-workers, along with age and gender breakdowns. The dataset also offers insights into socio-economic factors such as literacy levels, social group affiliation, and types of occupations, providing a holistic understanding of the population dynamics." ; dct:format "CSV" ; dct:issued "2024-06-05T12:22:18.910801"^^xsd:dateTime ; dct:modified "2024-12-03T16:04:33.895388"^^xsd:dateTime ; dct:title "Census PCA Demography - Subdistricts" ; dcat:accessURL ; dcat:byteSize 991433.0 ; dcat:mediaType "text/csv" . a dcat:Distribution ; dct:description "The Census PCA Demography - Blocks dataset for Meghalaya provides in-depth demographic insights into the working population. It highlights worker classifications based on factors such as age, gender, and social group. The dataset covers data at a detailed level, offering a comprehensive understanding of the workforce distribution within blocks, sub-districts, districts, and states." ; dct:format "CSV" ; dct:issued "2024-12-03T16:04:33.900771"^^xsd:dateTime ; dct:modified "2024-12-03T16:05:38.924455"^^xsd:dateTime ; dct:title "Census PCA Demography - Blocks" ; dcat:accessURL ; dcat:byteSize 1179532.0 ; dcat:mediaType "text/csv" . a dcat:Dataset ; dct:description "The Pradhan Mantri Krishi Sinchai Yojana (PMKSY) is an initiative launched by the Government of India to ensure comprehensive and sustainable water management for agricultural practices. Introduced with the vision of \"Har Khet Ko Paani\" (Water for Every Field), the program aims to expand cultivable areas under irrigation, improve on-farm water use efficiency, and ensure the judicious use of water resources. PMKSY emphasizes the importance of creating water harvesting structures, efficient water conveyance, and distribution systems. It seeks to integrate multiple water source management and adopt a decentralized approach, giving prominence to water conservation and recharge measures. The program stands as a testament to the government's commitment to enhancing agricultural productivity while ensuring water sustainability." ; dct:identifier "f536b975-6aa2-4868-8d5b-d3deb9d8f915" ; dct:issued "2024-06-05T11:11:27.309465"^^xsd:dateTime ; dct:modified "2024-06-05T12:03:50.060854"^^xsd:dateTime ; dct:publisher ; dct:title "Pradhan Mantri Krishi Sinchai Yojana (PMKSY)" ; dcat:distribution ; dcat:landingPage . a dcat:Distribution ; dct:description "The PMKSY MIPMS Financial Progress Report for Meghalaya offers monthly updates on fund allocation, disbursement, and utilization percentage, providing crucial insights into the implementation and effectiveness of the PMKSY Micro Irrigation scheme at the district level. This data serves as a vital tool for monitoring the efficient utilization of funds and assessing the scheme's impact on promoting water-efficient agricultural practices in the region." ; dct:format "CSV" ; dct:issued "2024-06-05T11:11:27.945848"^^xsd:dateTime ; dct:modified "2024-06-05T12:03:50.065341"^^xsd:dateTime ; dct:title "PMKSY MIPMS Financial Progress Report" ; dcat:accessURL ; dcat:byteSize 103420.0 . a dcat:Dataset ; dct:description """The NABARD All India Rural Financial Inclusion Survey (NAFIS) provides data on the financial inclusion status of rural households in India. The data was collected in 2016-17 and includes information on bank account ownership, credit access, insurance coverage, financial literacy and household economic status.\r The NAFIS is a valuable resource for researchers, policy makers, and journalists who are interested in the financial inclusion status of rural households in India. The dataset can be used to track the progress of financial inclusion in rural India, to identify the challenges to financial inclusion, and to develop policies and programs to promote financial inclusion.\r This subset of the NAFIS dataset provides information on households in different states, including average monthly consumption expenditure, households reporting savings, average savings for saver households, incidence of indebtedness among households, households associated with microfinance institutions, average landholding size, average monthly household income, and average monthly agricultural household income.""" ; dct:identifier "fa8b16a6-231b-4c8a-ab3b-fcff1b5a4740" ; dct:issued "2024-06-05T15:37:59.824435"^^xsd:dateTime ; dct:modified "2024-06-06T05:58:36.304101"^^xsd:dateTime ; dct:publisher ; dct:title "NABARD All India Rural Finacial Inclusion Survey (NAFIS)" ; dcat:distribution ; dcat:landingPage . a dcat:Distribution ; dct:description "The NABARD All India Rural Financial Inclusion Survey (NAFIS) subset for Meghalaya offers comprehensive insights into the financial landscape of rural households in the state. This dataset provides rich information on various economic indicators, including household income, expenditure patterns, savings behavior, and access to financial services. Researchers, policymakers, and journalists can leverage this valuable resource to assess and address the financial inclusion status in rural Meghalaya, identify barriers to inclusion, and design targeted interventions to enhance economic well-being." ; dct:format "CSV" ; dct:issued "2024-06-05T15:38:00.056670"^^xsd:dateTime ; dct:modified "2024-06-06T05:58:36.308649"^^xsd:dateTime ; dct:title "NABARD All India Rural Finacial Inclusion Survey 2016 (NAFIS)" ; dcat:accessURL ; dcat:byteSize 257.0 . a foaf:Organization ; foaf:name "Meghalaya" .