@prefix dcat: . @prefix dct: . @prefix foaf: . @prefix xsd: . 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 foaf:Organization ; foaf:name "Meghalaya" .