cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.w9c8b9
title: Occurrence Download

description: A dataset containing 598 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Elephas maximus",
 "Year 2000-2026"
 ]
}

 The dataset includes 598 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001792-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jp7fac
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((114.379 -2.221824, 114.308684 -2.227389, 114.240098 -2.243947, 114.174929 -2.271092, 114.114781 -2.308155, 114.061133 -2.354224, 114.015306 -2.408165, 113.978429 -2.468653, 113.951411 -2.534197, 113.934917 -2.603184, 113.929356 -2.673917, 113.934866 -2.744654, 113.951314 -2.813653, 113.978296 -2.879215, 114.01515 -2.939725, 114.060968 -2.993692, 114.114624 -3.039786, 114.174796 -3.076871, 114.240001 -3.104034, 114.308633 -3.120604, 114.379 -3.126173, 114.449367 -3.120604, 114.517999 -3.104034, 114.583204 -3.076871, 114.643376 -3.039786, 114.697032 -2.993692, 114.74285 -2.939725, 114.779704 -2.879215, 114.806686 -2.813653, 114.823134 -2.744654, 114.828644 -2.673917, 114.823083 -2.603184, 114.806589 -2.534197, 114.779571 -2.468653, 114.742694 -2.408165, 114.696867 -2.354224, 114.643219 -2.308155, 114.583071 -2.271092, 114.517902 -2.243947, 114.449316 -2.227389, 114.379 -2.221824))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001795-260119153935675/datasets/export for details.
DOI: 10.15468/dl.nk32cq
title: Occurrence Download

description: A dataset containing 1999 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Potentilla anserina, Potentilla anserina)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 1999 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001793-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.99ckjs
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Megasternum gibbulum",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001794-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31095055
title: Dataset for a cross-sectional content analysis of tuberculosis IEC materials in Gujarat, India (2017–2025)

description: This dataset contains item-level coded data from a cross-sectional content analysis of 375 tuberculosis (TB) Information, Education and Communication (IEC) materials disseminated in Gujarat, India, between January 2017 and August 2025.The corpus includes print, video, and audio materials retrieved from official government portals, state TB cell archives, and publicly accessible social media platforms. Each item was systematically coded using a 40-item structured checklist synthesised from established behaviour change and health communication frameworks (COM-B, Health Belief Model, Theory of Planned Behavior, Social Cognitive Theory, Transtheoretical Model, WHO COMBI, and the CDC Clear Communication Index). In addition, two global 5-point Likert-type ratings were assigned for (i) message clarity and (ii) cultural adaptation.Each row in the dataset represents a single IEC item, uniquely identified by an alphanumeric ID. Variables include media format, year, language, issuer, target audience, thematic focus, individual framework-based indicators, composite indices, and global rating scores.This dataset does not contain any personal, patient-level, or identifiable human data. All materials analysed were publicly available government-issued or publicly disseminated communication outputs. No copyrighted IEC images, logos, or creative materials are reproduced in this dataset; only derived analytical variables and aggregate coding outputs are shared.The dataset is intended to support reproducibility of the accompanying manuscript analyses and may be reused for secondary analyses of health communication quality, behavior change content, and public health messaging strategies in high-burden settings.
DOI: 10.6084/m9.figshare.31095055.v1
title: Dataset for a cross-sectional content analysis of tuberculosis IEC materials in Gujarat, India (2017–2025)

description: This dataset contains item-level coded data from a cross-sectional content analysis of 375 tuberculosis (TB) Information, Education and Communication (IEC) materials disseminated in Gujarat, India, between January 2017 and August 2025.The corpus includes print, video, and audio materials retrieved from official government portals, state TB cell archives, and publicly accessible social media platforms. Each item was systematically coded using a 40-item structured checklist synthesised from established behaviour change and health communication frameworks (COM-B, Health Belief Model, Theory of Planned Behavior, Social Cognitive Theory, Transtheoretical Model, WHO COMBI, and the CDC Clear Communication Index). In addition, two global 5-point Likert-type ratings were assigned for (i) message clarity and (ii) cultural adaptation.Each row in the dataset represents a single IEC item, uniquely identified by an alphanumeric ID. Variables include media format, year, language, issuer, target audience, thematic focus, individual framework-based indicators, composite indices, and global rating scores.This dataset does not contain any personal, patient-level, or identifiable human data. All materials analysed were publicly available government-issued or publicly disseminated communication outputs. No copyrighted IEC images, logos, or creative materials are reproduced in this dataset; only derived analytical variables and aggregate coding outputs are shared.The dataset is intended to support reproducibility of the accompanying manuscript analyses and may be reused for secondary analyses of health communication quality, behavior change content, and public health messaging strategies in high-burden settings.
DOI: 10.15468/dl.9hwvfb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((112.772 -2.217824, 112.701684 -2.223389, 112.633099 -2.239947, 112.56793 -2.267092, 112.507781 -2.304155, 112.454134 -2.350224, 112.408307 -2.404165, 112.37143 -2.464653, 112.344412 -2.530197, 112.327919 -2.599184, 112.322358 -2.669917, 112.327868 -2.740654, 112.344315 -2.809653, 112.371297 -2.875215, 112.408151 -2.935725, 112.453969 -2.989692, 112.507625 -3.035786, 112.567797 -3.072871, 112.633002 -3.100034, 112.701634 -3.116604, 112.772 -3.122173, 112.842366 -3.116604, 112.910998 -3.100034, 112.976203 -3.072871, 113.036375 -3.035786, 113.090031 -2.989692, 113.135849 -2.935725, 113.172703 -2.875215, 113.199685 -2.809653, 113.216132 -2.740654, 113.221642 -2.669917, 113.216081 -2.599184, 113.199588 -2.530197, 113.17257 -2.464653, 113.135693 -2.404165, 113.089866 -2.350224, 113.036219 -2.304155, 112.97607 -2.267092, 112.910901 -2.239947, 112.842316 -2.223389, 112.772 -2.217824))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001796-260119153935675/datasets/export for details.
DOI: 10.25976/m20o-9w27
title: Digital Waters Continuous Monitoring Data

description: Digital Waters aims to monitor all creeks, rivers, and lake shorelines in the GTA and beyond to get baseline information about our local water, identify contamination events, and build AI models to make inferences. 
The data provided to DataStream is a subset of the data we collect. Our typical data collection frequency is every 5 minutes, and we also collect photographic data of the water with more sensors and metrics in the pipeline. Our data can be found at data.digitalwaters.org/dashboard and is also available through our API at data.digitalwaters.org/getwaterdata
description: Custom made water monitoring probes that are equipped with temperature sensors and cameras. Positioned 1-2 feet under the surface of the water, these models rest on the creek or river bed.
description: Data is de-dupped and stored in a standardized JSON data format.
DOI: 10.15468/dl.jwv7qe
title: Occurrence Download

description: A dataset containing 543 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Potentilla argentea, Potentilla argentea, Potentilla argentea, Potentilla argentea, Potentilla argentea, Potentilla argentea)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 543 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001797-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.em79xf
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pachysternum haemorrhoum",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 102 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001798-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18168494
title: The raw hailstone growth trajectory for Global hailstone under historical and future scenarios (Part 4)

description: For any inquiries regarding the data, please contact 2301110296@stu.pku.edu.cn directly.

The hail growth dataset contains four primary variables: (i) r_traj, representing the evolution of hail radius (in meters, denoting radius); (ii) t_traj, denoting hail growth time, which should be multiplied by 0.5; (iii) x_traj, describing the hail trajectory along the x-axis (approximately the zonal direction); and (iv) y_traj, describing the hail trajectory along the y-axis (approximately the meridional direction). In addition, the dataset includes three auxiliary parameters: h_int, indicating the initial height of hailstones; r_int, the initial growth radius; and w_perc, a parameter determining the initial location, with larger values indicating positions closer to the convective core.

The hail growth trajectory dataset is restricted to severe hail events with maximum updraft speeds greater than 5 m s⁻¹, and consequently, the number of events differs among scenarios.

Because the original data are very large, they have been compressed. For Windows systems, one rounds of decompression are required (using software such as Bandizip or 7-Zip). For Linux systems, the files can be extracted with the command 7z filename.7z.

The whole dataset has been divided into four parts. The fourth part contains hail growth trajectories corresponding to the  SSP5-85 scenarios of ensemble-mean simulation of MPI-ESM1-2-LR.
DOI: 10.5281/zenodo.18168495
title: The raw hailstone growth trajectory for Global hailstone under historical and future scenarios (Part 4)

description: For any inquiries regarding the data, please contact 2301110296@stu.pku.edu.cn directly.

The hail growth dataset contains four primary variables: (i) r_traj, representing the evolution of hail radius (in meters, denoting radius); (ii) t_traj, denoting hail growth time, which should be multiplied by 0.5; (iii) x_traj, describing the hail trajectory along the x-axis (approximately the zonal direction); and (iv) y_traj, describing the hail trajectory along the y-axis (approximately the meridional direction). In addition, the dataset includes three auxiliary parameters: h_int, indicating the initial height of hailstones; r_int, the initial growth radius; and w_perc, a parameter determining the initial location, with larger values indicating positions closer to the convective core.

The hail growth trajectory dataset is restricted to severe hail events with maximum updraft speeds greater than 5 m s⁻¹, and consequently, the number of events differs among scenarios.

Because the original data are very large, they have been compressed. For Windows systems, one rounds of decompression are required (using software such as Bandizip or 7-Zip). For Linux systems, the files can be extracted with the command 7z filename.7z.

The whole dataset has been divided into four parts. The fourth part contains hail growth trajectories corresponding to the  SSP5-85 scenarios of ensemble-mean simulation of MPI-ESM1-2-LR.
DOI: 10.5281/zenodo.18308880
title: Senecio selloi DC. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18308881
title: Senecio selloi DC. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.15468/dl.d67j7t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((101.3 -2.214824, 101.229685 -2.220389, 101.161099 -2.236947, 101.09593 -2.264092, 101.035782 -2.301155, 100.982134 -2.347224, 100.936308 -2.401165, 100.899431 -2.461653, 100.872413 -2.527197, 100.85592 -2.596184, 100.850359 -2.666917, 100.855869 -2.737654, 100.872317 -2.806654, 100.899298 -2.872216, 100.936152 -2.932725, 100.98197 -2.986692, 101.035626 -3.032786, 101.095797 -3.069872, 101.161002 -3.097034, 101.229634 -3.113604, 101.3 -3.119173, 101.370366 -3.113604, 101.438998 -3.097034, 101.504203 -3.069872, 101.564374 -3.032786, 101.61803 -2.986692, 101.663848 -2.932725, 101.700702 -2.872216, 101.727683 -2.806654, 101.744131 -2.737654, 101.749641 -2.666917, 101.74408 -2.596184, 101.727587 -2.527197, 101.700569 -2.461653, 101.663692 -2.401165, 101.617866 -2.347224, 101.564218 -2.301155, 101.50407 -2.264092, 101.438901 -2.236947, 101.370315 -2.220389, 101.3 -2.214824))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001799-260119153935675/datasets/export for details.
DOI: 10.15468/dl.yb8zwn
title: Occurrence Download

description: A dataset containing 1687 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Potentilla aurea, Potentilla aurea, Potentilla aurea, Potentilla aurea, Potentilla aurea)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 1687 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001800-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18301008
title: Enhancing Thermo-Induced Gelation of Rice Protein via Combined Ultrasonic and Calcium Ion Treatment: Optimization, Mechanism, and Structural Insights
DOI: 10.5281/zenodo.18301007
title: Enhancing Thermo-Induced Gelation of Rice Protein via Combined Ultrasonic and Calcium Ion Treatment: Optimization, Mechanism, and Structural Insights
DOI: 10.15468/dl.pmsrwp
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Peratogonus reversus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001801-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17983789
title: Tailoring Spin-Exchange Interactions and Topological Magnons in 2D Ferromagnetic van der Waals CrI3/As Bilayer via Multiple Stacking Orders: A First-Principles Study

description: All raw data corresponding to the figures in the manuscript titled 'Tailoring Spin-Exchange Interactions and Topological Magnons in 2D Ferromagnetic van der Waals CrI3/As Bilayer via Multiple Stacking Orders: A First-Principles Study'.
DOI: 10.5281/zenodo.17983790
title: Tailoring Spin-Exchange Interactions and Topological Magnons in 2D Ferromagnetic van der Waals CrI3/As Bilayer via Multiple Stacking Orders: A First-Principles Study

description: All raw data corresponding to the figures in the manuscript titled 'Tailoring Spin-Exchange Interactions and Topological Magnons in 2D Ferromagnetic van der Waals CrI3/As Bilayer via Multiple Stacking Orders: A First-Principles Study'.
DOI: 10.5281/zenodo.18308894
title: Senecio tacuaremboensis Arechav. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18308895
title: Senecio tacuaremboensis Arechav. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.15468/dl.h6er6k
title: Occurrence Download

description: A dataset containing 793 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bertholletia excelsa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 793 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001802-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hjcfha
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((112.246 -2.202823, 112.175685 -2.208389, 112.1071 -2.224947, 112.041932 -2.252092, 111.981784 -2.289155, 111.928137 -2.335224, 111.882311 -2.389166, 111.845435 -2.449653, 111.818417 -2.515197, 111.801924 -2.584185, 111.796363 -2.654918, 111.801873 -2.725655, 111.818321 -2.794654, 111.845303 -2.860216, 111.882156 -2.920726, 111.927974 -2.974692, 111.981629 -3.020786, 112.0418 -3.057872, 112.107004 -3.085034, 112.175635 -3.101604, 112.246 -3.107173, 112.316365 -3.101604, 112.384996 -3.085034, 112.4502 -3.057872, 112.510371 -3.020786, 112.564026 -2.974692, 112.609844 -2.920726, 112.646697 -2.860216, 112.673679 -2.794654, 112.690127 -2.725655, 112.695637 -2.654918, 112.690076 -2.584185, 112.673583 -2.515197, 112.646565 -2.449653, 112.609689 -2.389166, 112.563863 -2.335224, 112.510216 -2.289155, 112.450068 -2.252092, 112.3849 -2.224947, 112.316315 -2.208389, 112.246 -2.202823))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001803-260119153935675/datasets/export for details.
DOI: 10.15468/dl.55bv29
title: Occurrence Download

description: A dataset containing 4770 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Potentilla erecta, Potentilla erecta, Potentilla erecta, Potentilla erecta, Potentilla erecta, Potentilla erecta, Potentilla erecta, Potentilla erecta, Tormentilla erecta, Tormentilla erecta, Potentilla tormentilla, Potentilla tormentilla, Potentilla tormentilla, Potentilla tormentilla, Potentilla tormentilla, Potentilla tormentilla, Potentilla sylvestris, Potentilla sylvestris)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 4770 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001804-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.