cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15411012
title: Dataset from: Multi-messenger observations in the Einstein Telescope era

description: The binary neutron star and black hole - neutron star populations data from the paper "Multi-messenger observations in the Einstein Telescope era: binary neutron star and black hole - neutron star mergers" (https://arxiv.org/abs/2503.00116).

Details of how to use the data, as well as the scripts to reproduce the main figures of the paper are given in the accompanying Github repository https://ghttps://github.com/acolombo140/ET_MM/

The file "ET_COMPASCompactOutput_BHNS_A" is based on Broekgaarden et al. 2021 (https://arxiv.org/abs/2103.02608). Variations on the population are available through the link https: //doi.org/10.5281/zenodo.4574727.









If you use this data, please cite the above manuscript.
DOI: 10.6084/m9.figshare.29547071
title: Characterization of microplastic in anaerobic digestate

description: Associated manuscript is available here: doi: 10.3389/fsufs.2025.1666814<br>Microplastics (MP) have emerged as a contaminant of concern in the food system, introduced through food processing and packaging—and even detected in food products themselves. In efforts to reduce food system resource loss, food waste is being redirected from landfills toward circular solutions such as anaerobic digestion (AD). AD offers environmental benefits by converting organic waste into renewable biogas and nutrient-rich digestate. However, MP present in food waste can persist through this process, potentially contaminating the digestate. When applied to soil as fertilizer, this contamination may affect soil function and contribute to broader environmental pollution in agricultural and aquatic systems. This study investigates the abundance and characterization of MPs in the liquid digestate from an AD system co-digesting food waste and dairy manure. Using a novel microplastic extraction method involving wet peroxide oxidation and an EDTA-Triton X-100 solution to remove the organic matrix, MPs were isolated and analyzed for polymer composition and morphology. Results indicate that MPs are present in liquid digestate, with polyethylene terephthalate (PET) fibers as the dominant polymer type. These findings highlight the potential for AD to serve as a pathway for MPs to enter agricultural soils when digestate is land-applied as a fertilizer, raising concerns about long-term environmental impacts. Understanding the fate and characteristics of MPs in digestate is critical for evaluating AD’s role in sustainable waste management and developing strategies to mitigate microplastic contamination in organic waste recycling systems.
DOI: 10.6084/m9.figshare.29547071.v2
title: Characterization of microplastic in anaerobic digestate

description: Associated manuscript is available here: doi: 10.3389/fsufs.2025.1666814<br>Microplastics (MP) have emerged as a contaminant of concern in the food system, introduced through food processing and packaging—and even detected in food products themselves. In efforts to reduce food system resource loss, food waste is being redirected from landfills toward circular solutions such as anaerobic digestion (AD). AD offers environmental benefits by converting organic waste into renewable biogas and nutrient-rich digestate. However, MP present in food waste can persist through this process, potentially contaminating the digestate. When applied to soil as fertilizer, this contamination may affect soil function and contribute to broader environmental pollution in agricultural and aquatic systems. This study investigates the abundance and characterization of MPs in the liquid digestate from an AD system co-digesting food waste and dairy manure. Using a novel microplastic extraction method involving wet peroxide oxidation and an EDTA-Triton X-100 solution to remove the organic matrix, MPs were isolated and analyzed for polymer composition and morphology. Results indicate that MPs are present in liquid digestate, with polyethylene terephthalate (PET) fibers as the dominant polymer type. These findings highlight the potential for AD to serve as a pathway for MPs to enter agricultural soils when digestate is land-applied as a fertilizer, raising concerns about long-term environmental impacts. Understanding the fate and characteristics of MPs in digestate is critical for evaluating AD’s role in sustainable waste management and developing strategies to mitigate microplastic contamination in organic waste recycling systems.
DOI: 10.6084/m9.figshare.29547071.v1
title: Characterization of microplastic in anaerobic digestate

description: Associated manuscript is available here: doi: 10.3389/fsufs.2025.1666814<br>Microplastics (MP) have emerged as a contaminant of concern in the food system, introduced through food processing and packaging—and even detected in food products themselves. In efforts to reduce food system resource loss, food waste is being redirected from landfills toward circular solutions such as anaerobic digestion (AD). AD offers environmental benefits by converting organic waste into renewable biogas and nutrient-rich digestate. However, MP present in food waste can persist through this process, potentially contaminating the digestate. When applied to soil as fertilizer, this contamination may affect soil function and contribute to broader environmental pollution in agricultural and aquatic systems. This study investigates the abundance and characterization of MPs in the liquid digestate from an AD system co-digesting food waste and dairy manure. Using a novel microplastic extraction method involving wet peroxide oxidation and an EDTA-Triton X-100 solution to remove the organic matrix, MPs were isolated and analyzed for polymer composition and morphology. Results indicate that MPs are present in liquid digestate, with polyethylene terephthalate (PET) fibers as the dominant polymer type. These findings highlight the potential for AD to serve as a pathway for MPs to enter agricultural soils when digestate is land-applied as a fertilizer, raising concerns about long-term environmental impacts. Understanding the fate and characteristics of MPs in digestate is critical for evaluating AD’s role in sustainable waste management and developing strategies to mitigate microplastic contamination in organic waste recycling systems.
DOI: 10.25574/07588
title: Chandra X-ray Observatory ObsId 07588

description: High resolution spectral imaging of SN 1987A at 20 years: HETG observation
DOI: 10.25574/07589
title: Chandra X-ray Observatory ObsId 07589

description: High resolution spectral imaging of SN 1987A at 20 years: HETG observation
DOI: 10.25574/07590
title: Chandra X-ray Observatory ObsId 07590

description: High resolution spectral imaging of SN 1987A at 20 years: HETG observation
DOI: 10.6084/m9.figshare.30128272
title: China-MAS-50k

description: We release China-MAS-50k (China Multi-label dataset for Agriculture & rural Scene 50k), the first very-high-resolution (VHR) remote sensing dataset for multi-label classification covering entire China’s agricultural and rural areas, filling the gap in finely annotated data for non-urban scene recognition. Based on a 50 km grid sampling system, over 50,000 sample points were determined nationwide, where VHR Google Earth imagery were to be collected for subsequent multi-label generation. A fine-grained label system comprising 18 categories (i.e., cropland, rural village, greenhouse, photovoltaic station, etc.) was established. Meanwhile, both a rigorously defined visual interpretation system and labeling procedures including cross-annotation, sample filtering and error correction were proposed to maintain annotation quality and reliability. Finally, the proposed dataset has a total of 55,520 VHR images with 135,289 labels. It exhibits a significant long-tail distribution, thereby providing a challenging benchmark for multi-label classification and long-tail learning.
DOI: 10.6084/m9.figshare.30128272.v1
title: China-MAS-50k

description: We release China-MAS-50k (China Multi-label dataset for Agriculture & rural Scene 50k), the first very-high-resolution (VHR) remote sensing dataset for multi-label classification covering entire China’s agricultural and rural areas, filling the gap in finely annotated data for non-urban scene recognition. Based on a 50 km grid sampling system, over 50,000 sample points were determined nationwide, where VHR Google Earth imagery were to be collected for subsequent multi-label generation. A fine-grained label system comprising 18 categories (i.e., cropland, rural village, greenhouse, photovoltaic station, etc.) was established. Meanwhile, both a rigorously defined visual interpretation system and labeling procedures including cross-annotation, sample filtering and error correction were proposed to maintain annotation quality and reliability. Finally, the proposed dataset has a total of 55,520 VHR images with 135,289 labels. It exhibits a significant long-tail distribution, thereby providing a challenging benchmark for multi-label classification and long-tail learning.
DOI: 10.25574/08487
title: Chandra X-ray Observatory ObsId 08487

description: High resolution spectral imaging of SN 1987A at 20 years: HETG observation
DOI: 10.25574/08488
title: Chandra X-ray Observatory ObsId 08488

description: High resolution spectral imaging of SN 1987A at 20 years: HETG observation
DOI: 10.25574/08523
title: Chandra X-ray Observatory ObsId 08523

description: High resolution spectral imaging of SN 1987A at 20 years: HETG observation
DOI: 10.25574/08537
title: Chandra X-ray Observatory ObsId 08537

description: High resolution spectral imaging of SN 1987A at 20 years: HETG observation
DOI: 10.25574/08538
title: Chandra X-ray Observatory ObsId 08538

description: High resolution spectral imaging of SN 1987A at 20 years: HETG observation
DOI: 10.25574/08539
title: Chandra X-ray Observatory ObsId 08539

description: High resolution spectral imaging of SN 1987A at 20 years: HETG observation
DOI: 10.25574/08542
title: Chandra X-ray Observatory ObsId 08542

description: High resolution spectral imaging of SN 1987A at 20 years: HETG observation
DOI: 10.25574/08543
title: Chandra X-ray Observatory ObsId 08543

description: High resolution spectral imaging of SN 1987A at 20 years: HETG observation
DOI: 10.25574/08544
title: Chandra X-ray Observatory ObsId 08544

description: High resolution spectral imaging of SN 1987A at 20 years: HETG observation
DOI: 10.25574/08545
title: Chandra X-ray Observatory ObsId 08545

description: High resolution spectral imaging of SN 1987A at 20 years: HETG observation
DOI: 10.25574/08546
title: Chandra X-ray Observatory ObsId 08546

description: High resolution spectral imaging of SN 1987A at 20 years: HETG observation
DOI: 10.25574/09144
title: Chandra X-ray Observatory ObsId 09144

description: AO9 Chandra Monitoring of SNR 1987A
DOI: 10.25574/10221
title: Chandra X-ray Observatory ObsId 10221

description: Chandra Cycle 10 Spatial and Spectral Monitoring of SNR 1987A
DOI: 10.25574/10222
title: Chandra X-ray Observatory ObsId 10222

description: Chandra Cycle 10 Spatial and Spectral Monitoring of SNR 1987A
DOI: 10.25574/10852
title: Chandra X-ray Observatory ObsId 10852

description: Chandra Cycle 10 Spatial and Spectral Monitoring of SNR 1987A
DOI: 10.25574/10853
title: Chandra X-ray Observatory ObsId 10853

description: Chandra Cycle 10 Spatial and Spectral Monitoring of SNR 1987A
DOI: 10.25574/10854
title: Chandra X-ray Observatory ObsId 10854

description: Chandra Cycle 10 Spatial and Spectral Monitoring of SNR 1987A
DOI: 10.25574/10855
title: Chandra X-ray Observatory ObsId 10855

description: Chandra Cycle 10 Spatial and Spectral Monitoring of SNR 1987A
DOI: 10.25574/10926
title: Chandra X-ray Observatory ObsId 10926

description: Chandra Cycle 10 Spatial and Spectral Monitoring of SNR 1987A
DOI: 10.25574/11090
title: Chandra X-ray Observatory ObsId 11090

description: CHANDRA CYCLE 11 SPATIAL AND SPECTRAL MONITORING OF SNR1987A
DOI: 10.25574/11091
title: Chandra X-ray Observatory ObsId 11091

description: CHANDRA CYCLE 11 SPATIAL AND SPECTRAL MONITORING OF SNR1987A
DOI: 10.25574/12125
title: Chandra X-ray Observatory ObsId 12125

description: CHANDRA CYCLE 11 SPATIAL AND SPECTRAL MONITORING OF SNR1987A
DOI: 10.25574/12126
title: Chandra X-ray Observatory ObsId 12126

description: CHANDRA CYCLE 11 SPATIAL AND SPECTRAL MONITORING OF SNR1987A
DOI: 10.25574/12145
title: Chandra X-ray Observatory ObsId 12145

description: SN 1987A Deep HETG Spectrum II: More than just a shocked ring
DOI: 10.25574/12146
title: Chandra X-ray Observatory ObsId 12146

description: SN 1987A Deep HETG Spectrum II: More than just a shocked ring
DOI: 10.25574/12539
title: Chandra X-ray Observatory ObsId 12539

description: Chandra Cycle 12 Spatial and Spectral Monitoring of SNR 1987A
DOI: 10.25574/12540
title: Chandra X-ray Observatory ObsId 12540

description: Chandra Cycle 12 Spatial and Spectral Monitoring of SNR 1987A
DOI: 10.25574/13131
title: Chandra X-ray Observatory ObsId 13131

description: CHANDRA CYCLE 11 SPATIAL AND SPECTRAL MONITORING OF SNR1987A
DOI: 10.25574/13238
title: Chandra X-ray Observatory ObsId 13238

description: SN 1987A Deep HETG Spectrum II: More than just a shocked ring
DOI: 10.25574/13239
title: Chandra X-ray Observatory ObsId 13239

description: SN 1987A Deep HETG Spectrum II: More than just a shocked ring
DOI: 10.25574/13735
title: Chandra X-ray Observatory ObsId 13735

description: Chandra Cycle 13 Spatial and Spectral Monitoring of SNR 1987A
DOI: 10.25574/14344
title: Chandra X-ray Observatory ObsId 14344

description: Chandra Cycle 12 Spatial and Spectral Monitoring of SNR 1987A
DOI: 10.25574/14417
title: Chandra X-ray Observatory ObsId 14417

description: Chandra Cycle 13 Spatial and Spectral Monitoring of SNR 1987A
DOI: 10.25574/14697
title: Chandra X-ray Observatory ObsId 14697

description: Chandra Cycle 14 Spatial and Spectral Monitoring of SN 1987A
DOI: 10.25574/14698
title: Chandra X-ray Observatory ObsId 14698

description: Chandra Cycle 14 Spatial and Spectral Monitoring of SN 1987A
DOI: 10.25574/15809
title: Chandra X-ray Observatory ObsId 15809

description: CHANDRA CYCLE 15 SPATIAL AND SPECTRAL MONITORING OF SN 1987A
DOI: 10.25574/15810
title: Chandra X-ray Observatory ObsId 15810

description: CHANDRA CYCLE 15 SPATIAL AND SPECTRAL MONITORING OF SN 1987A
DOI: 10.5281/zenodo.17122991
title: Shear cell measurements of the internal and basal friction angles of pyroclastic material: implications for flowability of pyroclastic density currents

description: Dataset for measurements of internal and bed friction angles of pyroclastic material.

Dataset includes the measurements of the normal stress, σ, and the shear stress, τ for fine and coarse pyroclastic material. The internal friction angles were measured for pre-shear normal stress, σp = 9, 7.5, 6, 4.5, 3, and 1.5 kPa. The bed friction angles were measured for pre-shear normal stress, σp = 9, 6, and 3 kPa for sandpaper of grit 40, 60, 120, 240, 320, and 400.
DOI: 10.25574/16756
title: Chandra X-ray Observatory ObsId 16756

description: CHANDRA CYCLE 16 SPATIAL AND SPECTRAL MONITORING OF SN 1987A
DOI: 10.25574/17415
title: Chandra X-ray Observatory ObsId 17415

description: CHANDRA CYCLE 15 SPATIAL AND SPECTRAL MONITORING OF SN 1987A
DOI: 10.25574/17899
title: Chandra X-ray Observatory ObsId 17899

description: CHANDRA CYCLE 17 SPATIAL AND SPECTRAL MONITORING OF SN 1987A
DOI: 10.25574/19289
title: Chandra X-ray Observatory ObsId 19289

description: Chandra Cycle 18 Spatial and Spectral Monitoring of SN 1987A
DOI: 10.25574/19882
title: Chandra X-ray Observatory ObsId 19882

description: CHANDRA CYCLE 17 SPATIAL AND SPECTRAL MONITORING OF SN 1987A
DOI: 10.25574/20277
title: Chandra X-ray Observatory ObsId 20277

description: Chandra Cycle 19 Spatial and Spectral Monitoring of SN 1987A
DOI: 10.25574/20322
title: Chandra X-ray Observatory ObsId 20322

description: High Resolution Spectroscopy of SN 1987A
DOI: 10.25574/20323
title: Chandra X-ray Observatory ObsId 20323

description: High Resolution Spectroscopy of SN 1987A
DOI: 10.25574/20793
title: Chandra X-ray Observatory ObsId 20793

description: Chandra Cycle 18 Spatial and Spectral Monitoring of SN 1987A
DOI: 10.25574/20927
title: Chandra X-ray Observatory ObsId 20927

description: High Resolution Spectroscopy of SN 1987A
DOI: 10.25574/21037
title: Chandra X-ray Observatory ObsId 21037

description: High Resolution Spectroscopy of SN 1987A
DOI: 10.25574/21038
title: Chandra X-ray Observatory ObsId 21038

description: High Resolution Spectroscopy of SN 1987A
DOI: 10.25574/21042
title: Chandra X-ray Observatory ObsId 21042

description: High Resolution Spectroscopy of SN 1987A
DOI: 10.25574/21043
title: Chandra X-ray Observatory ObsId 21043

description: High Resolution Spectroscopy of SN 1987A
DOI: 10.25574/21044
title: Chandra X-ray Observatory ObsId 21044

description: High Resolution Spectroscopy of SN 1987A
DOI: 10.5281/zenodo.17109592
title: Replication Data for: EPA Risk-Screening Environmental Indicators (RSEI), Microdata Disaggregated 2017, Shapefiles 1988-2017, Block Groups and Tracts
title: RSEI Disagg. Microdata 2017 (7) Shapefiles, BlockGroups and Tracts [1 of 2]

description: Data for United States Environmental Protection Agency (EPA) Risk Screening Environmental Indicators (RSEI) model Disaggregated Microdata, 2017, Shapefiles. Original data were downloaded 2 August 2025 from http://abt-rsei.s3-website-us-east-1.amazonaws.com/?prefix=microdata2017/shapefiles/.  (Files with "core" in the file name were not downloaded and are not included in this archive).  Documentation pdf was downloaded from here: https://www.epa.gov/sites/default/files/2017-01/documents/rsei-documentation-geographic-microdata-v235.pdf .  For RSEI Aggregated Microdata 2017, see:  https://sciop.net/uploads/bf258852c37fa1cae8512c49cda65b2a83403c9f

RSEI Disagg. Microdata 2017 (7) Shapefiles, BlockGroups and Tracts [1 of 2]
DOI: 10.5281/zenodo.17109593
title: Replication Data for: EPA Risk-Screening Environmental Indicators (RSEI), Microdata Disaggregated 2017, Shapefiles 1988-2017, Block Groups and Tracts
title: RSEI Disagg. Microdata 2017 (7) Shapefiles, BlockGroups and Tracts [1 of 2]

description: Data for United States Environmental Protection Agency (EPA) Risk Screening Environmental Indicators (RSEI) model Disaggregated Microdata, 2017, Shapefiles. Original data were downloaded 2 August 2025 from http://abt-rsei.s3-website-us-east-1.amazonaws.com/?prefix=microdata2017/shapefiles/.  (Files with "core" in the file name were not downloaded and are not included in this archive).  Documentation pdf was downloaded from here: https://www.epa.gov/sites/default/files/2017-01/documents/rsei-documentation-geographic-microdata-v235.pdf .  For RSEI Aggregated Microdata 2017, see:  https://sciop.net/uploads/bf258852c37fa1cae8512c49cda65b2a83403c9f

RSEI Disagg. Microdata 2017 (7) Shapefiles, BlockGroups and Tracts [1 of 2]
DOI: 10.25574/21049
title: Chandra X-ray Observatory ObsId 21049

description: High Resolution Spectroscopy of SN 1987A
DOI: 10.25574/21050
title: Chandra X-ray Observatory ObsId 21050

description: High Resolution Spectroscopy of SN 1987A
DOI: 10.25574/21051
title: Chandra X-ray Observatory ObsId 21051

description: High Resolution Spectroscopy of SN 1987A
DOI: 10.25574/21052
title: Chandra X-ray Observatory ObsId 21052

description: High Resolution Spectroscopy of SN 1987A
DOI: 10.25574/21053
title: Chandra X-ray Observatory ObsId 21053

description: High Resolution Spectroscopy of SN 1987A
DOI: 10.60707/8w08-4y06
title: TEM data on two presolar grains contained in the same FIB section
DOI: 10.25574/21304
title: Chandra X-ray Observatory ObsId 21304

description: CHANDRA CYCLE 20 SPATIAL AND SPECTRAL MONITORING OF SN1987A
DOI: 10.25574/21844
title: Chandra X-ray Observatory ObsId 21844

description: Chandra Cycle 19 Spatial and Spectral Monitoring of SN 1987A
DOI: 10.25574/22425
title: Chandra X-ray Observatory ObsId 22425

description: CHANDRA CYCLE 21 SPATIAL AND SPECTRAL MONITORING OF SN1987A
DOI: 10.25574/22849
title: Chandra X-ray Observatory ObsId 22849

description: CHANDRA CYCLE 20 SPATIAL AND SPECTRAL MONITORING OF SN1987A
DOI: 10.60707/fe4p-0z84
title: TEM data on two presolar grains contained in the same FIB section
DOI: 10.25574/23534
title: Chandra X-ray Observatory ObsId 23534

description: CHANDRA CYCLE 22 SPATIAL AND SPECTRAL MONITORING OF SN1987A
DOI: 10.5281/zenodo.17067025
title: Soil Probiotics Dataset

description: The dataset comprises a total of 998 samples, which are distinctly categorized into two groups: probiotics and non-probiotics. Specifically, the dataset includes 418 probiotics, which serve as the positive samples, and 580 non-probiotics, which constitute the negative samples.
DOI: 10.60707/bg5d-ge51
title: TEM data on two presolar grains contained in the same FIB section
DOI: 10.5281/zenodo.17067024
title: Soil Probiotics Dataset

description: The dataset comprises a total of 998 samples, which are distinctly categorized into two groups: probiotics and non-probiotics. Specifically, the dataset includes 418 probiotics, which serve as the positive samples, and 580 non-probiotics, which constitute the negative samples.
DOI: 10.25574/24295
title: Chandra X-ray Observatory ObsId 24295

description: CHANDRA CYCLE 22 SPATIAL AND SPECTRAL MONITORING OF SN1987A
DOI: 10.60707/c982-d323
title: TEM data on two presolar grains contained in the same FIB section
DOI: 10.60707/debk-y089
title: TEM data on two presolar grains contained in the same FIB section
DOI: 10.25574/24652
title: Chandra X-ray Observatory ObsId 24652

description: CHANDRA CYCLE 21 SPATIAL AND SPECTRAL MONITORING OF SN1987A
DOI: 10.60707/dj50-rp80
title: TEM data on two presolar grains contained in the same FIB section
DOI: 10.25574/24654
title: Chandra X-ray Observatory ObsId 24654

description: CHANDRA CYCLE 22 SPATIAL AND SPECTRAL MONITORING OF SN1987A
DOI: 10.60707/hvha-fj40
title: TEM data on two presolar grains contained in the same FIB section
DOI: 10.25574/25278
title: Chandra X-ray Observatory ObsId 25278

description: Opening Pandora's Box: Direct Detection of AGN at z&gt;7
DOI: 10.25574/25279
title: Chandra X-ray Observatory ObsId 25279

description: Opening Pandora's Box: Direct Detection of AGN at z&gt;7
DOI: 10.21227/xn9c-j006
title: "Energy-Efficient Model Compression for Text Summarization: A Sustainable NLP Approach"

description: "We curated a dataset of 29,024 article-summary pairs from ScienceDaily, split into training, validation, and test sets."
DOI: 10.25574/25907
title: Chandra X-ray Observatory ObsId 25907

description: Opening Pandora's Box: Direct Detection of AGN at z&gt;7
DOI: 10.25574/25908
title: Chandra X-ray Observatory ObsId 25908

description: Opening Pandora's Box: Direct Detection of AGN at z&gt;7
DOI: 10.25574/25910
title: Chandra X-ray Observatory ObsId 25910

description: Opening Pandora's Box: Direct Detection of AGN at z&gt;7
DOI: 10.25574/25911
title: Chandra X-ray Observatory ObsId 25911

description: Opening Pandora's Box: Direct Detection of AGN at z&gt;7
DOI: 10.25574/25912
title: Chandra X-ray Observatory ObsId 25912

description: Opening Pandora's Box: Direct Detection of AGN at z&gt;7
DOI: 10.25574/25913
title: Chandra X-ray Observatory ObsId 25913

description: Opening Pandora's Box: Direct Detection of AGN at z&gt;7
DOI: 10.25574/25915
title: Chandra X-ray Observatory ObsId 25915

description: Opening Pandora's Box: Direct Detection of AGN at z&gt;7
DOI: 10.25574/25918
title: Chandra X-ray Observatory ObsId 25918

description: Opening Pandora's Box: Direct Detection of AGN at z&gt;7
DOI: 10.25574/25919
title: Chandra X-ray Observatory ObsId 25919

description: Opening Pandora's Box: Direct Detection of AGN at z&gt;7
DOI: 10.6084/m9.figshare.30128983
title: AI in Criminal Justice data: survey, interviews, & datasets

description: This study explores the integration of artificial intelligence (AI) into criminal justice and homeland security operations to enhance threat detection and public safety monitoring. Focusing on scenarios such as terrorism, drug trafficking, and cybercrime, the research examines how AI can improve intelligence gathering and risk assessment.