cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/independent-c69-4748
title: Police Foundation annual report, 1989

description: Reports - James Q. Wilson, Hubert Williams, et al. Police Foundation annual report. Washington, DC: Police Foundation, 1989. PART OF A SERIES: The series consists of miscellaneous source materials that were collected and analyzed over the course of the Independent Commission's investigation. Included are the following: article clippings pertaining to the Rodney King incident; legal materials related to the Gates v. Board of Los Angeles Police Commissioners case, including appellate documents, court transcripts, preliminary injunctions, and briefs; black-and-white photographs; essays and articles related to police misconduct; issues of The Thin Blue Line, the Los Angeles Police Protective League's monthly publication, and Perspectives on Policing, a newsletter published by the United States Department of Justice; materials regarding policing issues in other major United States cities, including commission reports and Pate and Hamilton's book The Big Six: Policing America's Largest Cities; supplemental materials and appendices to the Independent Commission's report; requests for copies of the Commission report; transcripts from public hearings conducted by members of the Commission; and instructional materials related to the Video Incident Capture System, a video camera system that provides video and audio records of police officers' activities while on patrol.
DOI: 10.25549/independent-c69-4883
title: The impact of Blake v. Los Angeles on the selection, recruitment, training, appointment & performance of women & minorities for the LAPD, v.I, 1990-07

description: George T. Felkenes and Lawrence Trostle, et al. The impact of Fanchon Blake v. City of Los Angeles on the selection, recruitment, training, appointment and performance of women and minorities for the Los Angeles Police Department, volume I. Claremont, California: Claremont Graduate School, 1990 July. Reports - The impact of Fanchon Blake v. City of Los Angeles on the selection, recruitment, training, appointment and performance of women and minorities for the Los Angeles Police Department, volume I by the Claremont Graduate School. PART OF A SERIES: The series consists of miscellaneous source materials that were collected and analyzed over the course of the Independent Commission's investigation. Included are the following: article clippings pertaining to the Rodney King incident; legal materials related to the Gates v. Board of Los Angeles Police Commissioners case, including appellate documents, court transcripts, preliminary injunctions, and briefs; black-and-white photographs; essays and articles related to police misconduct; issues of The Thin Blue Line, the Los Angeles Police Protective League's monthly publication, and Perspectives on Policing, a newsletter published by the United States Department of Justice; materials regarding policing issues in other major United States cities, including commission reports and Pate and Hamilton's book The Big Six: Policing America's Largest Cities; supplemental materials and appendices to the Independent Commission's report; requests for copies of the Commission report; transcripts from public hearings conducted by members of the Commission; and instructional materials related to the Video Incident Capture System, a video camera system that provides video and audio records of police officers' activities while on patrol.
DOI: 10.15468/dl.9taqfa
title: Occurrence Download

description: A dataset containing 40488444 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Senna multiglandulosa (Jacq.) H.S.Irwin & Barneby, Senna pendula (Humb. & Bonpl. ex Willd.) H.S.Irwin & Barneby, Senna petersiana (Bolle) Lock, Senna septemtrionalis (Viv.) H.S.Irwin & Barneby, Senna spectabilis (DC.) H.S.Irwin & Barneby, Senna surattensis (Burm.f.) H.S.Irwin & Barneby, Senna tora (L.) Roxb., Senna uniflora (Mill.) H.S.Irwin & Barneby, Sesamum radiatum Schumach. & Thonn., Sesbania bispinosa (Jacq.) W.Wight, Sesbania cannabina (Retz.) Poir., Sesbania grandiflora (L.) Poir., Sesbania herbacea (Mill.) McVaugh, Sesbania sericea (Willd.) Link, Sesbania sesban (L.) Merr., Sesuvium portulacastrum (L.) L., Setaria barbata (Lam.) Kunth, Setaria faberi R.A.W.Herrm., Poaceae, Setaria helvola (L.f.) Roem. & Schult.)"
 ]
}

 The dataset includes 40488444 records from 6691 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009612-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14263037
title: Supporting data and analytical codes for membrane tomography study

description: Datasets (tilt series, tilt angles, EELS maps, reference reconstructions) for membrane tomography. Reconstruction codes not currently packaged, but analytical methods for the EELS and density calculations are.
DOI: 10.5281/zenodo.14263038
title: Supporting data and analytical codes for membrane tomography study

description: Datasets (tilt series, tilt angles, EELS maps, reference reconstructions) for membrane tomography. Reconstruction codes not currently packaged, but analytical methods for the EELS and density calculations are.
DOI: 10.6084/m9.figshare.27325161.v1
title: A Review of Postsecondary Transportation Electrification Workforce Development in the Midwest: Inventory 20240630

description: The purpose of this review is to develop a substantive inventory of workforce development training courses/programs or special initiatives directly related to transportation electrification at postsecondary institutions in across eight states in the Midwestern United States (– Iowa, Illinois, Indiana, Missouri, Michigan, Minnesota, Ohio, and Wisconsin).
DOI: 10.6084/m9.figshare.27325161
title: A Review of Postsecondary Transportation Electrification Workforce Development in the Midwest: Inventory 20240630

description: The purpose of this review is to develop a substantive inventory of workforce development training courses/programs or special initiatives directly related to transportation electrification at postsecondary institutions in across eight states in the Midwestern United States (– Iowa, Illinois, Indiana, Missouri, Michigan, Minnesota, Ohio, and Wisconsin).
DOI: 10.34740/kaggle/dsv/10082382
title: BBC News
DOI: 10.25919/yyv0-8k80
title: Aggregated Data: Environmental Monitoring and Observations Effort 2010-present

description: This collection contains aggregated metadata on environmental monitoring and observing activities from three Australian national research infrastructures (NRIs): biodiversity survey events from the Atlas of Living Australia (ALA), marine observations collected by the Integrated Marine Observing System (IMOS), and site-based monitoring and survey efforts by the Terrestrial Ecosystem Research Network (TERN). This dataset provides a summary breakdown of these efforts by survey topic, region, and time period from 2010 to the present.

Survey topics are mapped to an EcoAssets Earth Science Features vocabulary based on the Earth Science keywords from the Global Change Master Directory (GCMD) vocabulary, modified to use taxonomic concept URIs from the Australian National Species List (ANSL) in place of the GCMD Earth Science &gt; Biological Classification vocabulary. ANSL categories map more readily to biodiversity survey categories, since GCMD depends on a top-level division between vertebrates and invertebrates rather than offering an animal category. The EcoAssets Earth Science Features vocabulary, including alternative keywords used in ALA, IMOS, or TERN datasets, is included in this collection.

The primary asset is aggregated_env_monitoring.csv. This contains all faceted data records for the period and supported facets related to time, space, and features observed.

Two derived assets (summary_monitoring_effort_terrestrial.csv, summary_monitoring_effort_marine.csv) further summarise the faceted data. Each is a pivot of the aggregated dataset.

vocabulary_earth_science_features.csv contains the hierarchical terms used within this asset to categorise earth science features. treeview_earth_science_features.txt provides a simpler, more readable view. keyword_mapping.csv shows the mappings between these terms and the keywords used in source datasets. The data_sources_env_monitoring.csv file includes information on the source datasets within the Atlas of Living Australia that contributed to this asset.
DOI: 10.6084/m9.figshare.27948594
title: Delphi Round 3 Indonesia

description: This research endeavor sought to acquire the perspectives of both experts and patients regarding the attributes associated with adherence to tuberculosis (TB) treatment. A total of 20 specialists in the field of TB and 10 patients diagnosed with pulmonary TB participated in a three-round Delphi study designed to categorize and validate the attributes of the concept in question. The results revealed that adherence to TB treatment pertains to the stage wherein patients with pulmonary TB are capable of adhering to the prescribed treatment recommendations, which encompass behaviors related to medication intake as well as lifestyle modifications, including nutritional care, cessation of smoking, abstaining from alcohol, stress management, enhancement of physical activity, improvement in sleep quality and rest, and engagement in TB-related preventive behaviors. In conclusion, the study's findings contribute to a deeper understanding of the critical significance of adherence to TB treatment. The established consensus priorities underscore that the concept encompasses not merely the act of medication consumption but also highlights the paramount importance of implementing lifestyle changes.
DOI: 10.5281/zenodo.12789420
title: Human Mobility Prediction Challenge 2024: Multi-City Prediction

description: The challenge takes place in 4 metropolitan areas (cities A, B, C, D), somewhere in Japan. Each area is divided into 500 meters x 500 meters cells, which span a 200 x 200 grid. The human mobility datasets contain the movement of individuals across a 75-day period, discretized into 30-minute intervals and 500-meter grid cells.

The task is to predict the movement of 3000 individuals each in cities B, C, and D, during days 61 to 75, using movement data of individuals in city A (100,000 individuals' full trajectories from day 1 to 75) and cities B, C, D (total of 25,000, 20,000, and 6,000 individuals each). The locations (x,y) that need to be predicted are masked with cell numbers '999'. 

Not all cities’ data are required to be used for prediction. For instance, to predict city B’s movement from days 61 to 75, one can just use the movement patterns in city B between 1 to 60. Using data from other cities (e.g., city A) may or may not improve the prediction accuracy!  

For more details of the HuMob Data Challenge 2024, see https://wp.nyu.edu/humobchallenge2024/ 

If you want to participate in the challenge and use this dataset, please 'Request Access' with your teamname, team leader's name (please choose 1 person from your team), and email address. 

Researchers may use this dataset for publications and reports, as long as: 1) Users shall not carry out activities that involve unethical usage of the data, including attempts at re-identifying data subjects, harming individuals, or damaging companies, and 2) The Data Descriptor paper of an earlier version of the dataset (citation below) needs to be cited when using the data for research and/or commercial purposes. Downloading this dataset implies agreement with the above two conditions. 



Yabe, T., Tsubouchi, K., Shimizu, T., Sekimoto, Y., Sezaki, K., Moro, E., & Pentland, A. (2024). YJMob100K: City-scale and longitudinal dataset of anonymized human mobility trajectories. Scientific Data, 11(1), 397. https://www.nature.com/articles/s41597-024-03237-9
DOI: 10.5281/zenodo.13237029
title: Human Mobility Prediction Challenge 2024: Multi-City Prediction

description: The challenge takes place in 4 metropolitan areas (cities A, B, C, D), somewhere in Japan. Each area is divided into 500 meters x 500 meters cells, which span a 200 x 200 grid. The human mobility datasets contain the movement of individuals across a 75-day period, discretized into 30-minute intervals and 500-meter grid cells.

The task is to predict the movement of 3000 individuals each in cities B, C, and D, during days 61 to 75, using movement data of individuals in city A (100,000 individuals' full trajectories from day 1 to 75) and cities B, C, D (total of 25,000, 20,000, and 6,000 individuals each). The locations (x,y) that need to be predicted are masked with cell numbers '999'. 

Not all cities’ data are required to be used for prediction. For instance, to predict city B’s movement from days 61 to 75, one can just use the movement patterns in city B between 1 to 60. Using data from other cities (e.g., city A) may or may not improve the prediction accuracy!  

While the name or location of the city is not disclosed, the participants are provided with points-of-interest (POIs; e.g., restaurants, parks) data for each grid cell (~85 dimensional vector) for the four cities as supplementary information (e.g., POIdata_cityA). The list of 85 POI categories can be found in POI_datacategories.csv. 

For more details of the HuMob Data Challenge 2024, see https://wp.nyu.edu/humobchallenge2024/ 

If you want to participate in the challenge and use this dataset, please 'Request Access' with your teamname, team leader's name (please choose 1 person from your team), and email address. 

Researchers may use this dataset for publications and reports, as long as: 1) Users shall not carry out activities that involve unethical usage of the data, including attempts at re-identifying data subjects, harming individuals, or damaging companies, and 2) The Data Descriptor paper of an earlier version of the dataset (citation below) needs to be cited when using the data for research and/or commercial purposes. Downloading this dataset implies agreement with the above two conditions. 



Yabe, T., Tsubouchi, K., Shimizu, T., Sekimoto, Y., Sezaki, K., Moro, E., & Pentland, A. (2024). YJMob100K: City-scale and longitudinal dataset of anonymized human mobility trajectories. Scientific Data, 11(1), 397. https://www.nature.com/articles/s41597-024-03237-9
DOI: 10.5281/zenodo.14263045
title: A Flexible Framework for N-mixture Occupancy Models of Count Data Applications to Breeding Bird Surveys
DOI: 10.5281/zenodo.14263044
title: A Flexible Framework for N-mixture Occupancy Models of Count Data Applications to Breeding Bird Surveys
DOI: 10.15468/dl.znyf3v
title: Occurrence Download

description: A dataset containing 7391080 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is one of (FALSE)",
 "OccurrenceStatus is one of (Present)",
 "HasCoordinate is one of (TRUE)",
 "Geometry POLYGON ((-74.00598329181811 40.80567069444212, -74.01801704966867 40.805222584342076, -74.02993443277991 40.80388258763908, -74.04162020584276 40.801663662690714, -74.05296140070753 40.798587265749454, -74.0638484208529 40.794683140968154, -74.07417611131521 40.78998902942976, -74.08384478321402 40.78455030018015, -74.09276118254998 40.7784195070314, -74.1008393936099 40.771655875647845, -74.1080016680777 40.7643247261183, -74.11417917180724 40.75649683684905, -74.11931264214957 40.74824775617574, -74.12335294972807 40.739657068584414, -74.12626155960555 40.73080762284685, -74.12801088787131 40.72178472971162, -74.12858455078114 40.712675337045845, -74.12797750469156 40.703567190495036, -74.12619607613075 40.694547987817835, -74.12325788242899 40.68570453506088, -74.11919164437978 40.67712191266851, -74.11403689341147 40.66888265947455, -74.10784357670552 40.66106598230363, -74.10067156460161 40.65374699861936, -74.09259006546809 40.64699601930321, -74.08367695399204 40.64087787823275, -74.07401801954816 40.63545131485941, -74.06370614194121 40.6307684154657, -74.05284040237935 40.62687411821844, -74.04152513802774 40.62380578653085, -74.02986894891025 40.62159285460947, -74.0179836662752 40.62025654839548, -74.00598329181811 40.619809684421284, -73.99398291736102 40.62025654839548, -73.98209763472599 40.62159285460947, -73.97044144560849 40.62380578653085, -73.95912618125688 40.62687411821844, -73.94826044169503 40.6307684154657, -73.93794856408806 40.63545131485941, -73.92828962964418 40.64087787823275, -73.91937651816814 40.64699601930321, -73.91129501903461 40.65374699861936, -73.90412300693072 40.66106598230363, -73.89792969022477 40.66888265947455, -73.89277493925646 40.67712191266851, -73.88870870120725 40.68570453506088, -73.88577050750548 40.694547987817835, -73.88398907894467 40.703567190495036, -73.88338203285508 40.712675337045845, -73.88395569576491 40.72178472971162, -73.88570502403067 40.73080762284685, -73.88861363390815 40.739657068584414, -73.89265394148667 40.74824775617574, -73.89778741182899 40.75649683684905, -73.90396491555853 40.7643247261183, -73.91112719002632 40.771655875647845, -73.91920540108624 40.7784195070314, -73.92812180042222 40.78455030018015, -73.93779047232101 40.78998902942976, -73.94811816278333 40.794683140968154, -73.95900518292869 40.798587265749454, -73.97034637779346 40.801663662690714, -73.98203215085631 40.80388258763908, -73.99394953396757 40.805222584342076, -74.00598329181811 40.80567069444212))"
 ]
}

 The dataset includes 7391080 records from 310 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013530-241126133413365/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.27936690.v2
title: GSE185381 29_Nov_2024 CITE_pediatric_AML

description: GSE185381 CITE_pediatric_AML
DOI: 10.15468/dl.3crhkz
title: Occurrence Download

description: A dataset containing 731043 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is FishBase Database"
 ]
}

 The dataset includes 731043 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013425-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23667/saprin.smhdhhas2024
title: SAPRIN Mental Health Datasets : Household Asset Status Observations 2024
DOI: 10.23667/saprin.smhdhhcs2024
title: SAPRIN Mental Health Datasets : Household COVID-19 Status Observations 2024
DOI: 10.23667/saprin.smhdhhs2024
title: SAPRIN Mental Health Datasets : Household Status Observations 2024
DOI: 10.23667/saprin.smhdics2024
title: SAPRIN Mental Health Datasets : Individual COVID-19 Status Observations 2024
DOI: 10.23667/saprin.smhdiso2024
title: SAPRIN Mental Health Datasets : Individual Status Observations 2024
DOI: 10.21242/21321.2020.12.00.1.1.1
title: Statistik der Prüfungen - Wintersemester 2019/2020, On-Site, Version 1

description: Mit der Statistik der Prüfungen werden zweimal im Jahr (Sommer- und Wintersemester) Merkmale zu den Studierenden an deutschen Hochschulen erhoben. Die Einzeldaten werden aus den Verwaltungsdaten der Hochschulen gewonnen. Damit handelt es sich bei der Prüfungsstatistik um eine Sekundärstatistik. Die Statistik umfasst dabei u. a. Informationen zur Person (Geschlecht, Geburtsdatum, Staatsangehörigkeit), zum Studium im Berichtssemester (Art der Einschreibung und des Studiums, angestrebten Abschlussprüfung, Studienfach), zu den bereits abgelegten Abschlussprüfungen vor dem Berichtssemester oder auch zur Hochschulzugangsberechtigung. Aufgrund der hohen Fallzahlen in dieser Vollerhebung eignet sich die Statistik der Prüfungen zur Analyse von Teilpopulationen wie z. B. nach Geschlecht, Staatsangehörigkeit oder nach der Art der Einschreibung. Damit können z. B. Analysen zur Studiendauer und zum Studienerfolg durchgeführt und auch Aussagen zur Beliebtheit von Studienfächern, Studienabschlüssen und Hochschulen getroffen werden. Für weiterführende Auswertungen kann das Erhebungsprogramm der Prüfungsstatistik um den Datensatz der Studentenstatistik verlängert werden. In der Prüfungsstatistik sind allerdings nur die Absolventinnen und Absolventen des betreffenden Zeitraumes enthalten, der Datensatz umfasst dadurch nicht die Gesamtzahl der Studierenden eines Semesters.
description: Web-based interview
description: Studierende an deutschen Hochschulen
description: Vollerhebung
DOI: 10.21242/21321.2020.06.00.1.1.1
title: Statistik der Prüfungen - Sommersemester 2020, On-Site, Version 1

description: Mit der Statistik der Prüfungen werden zweimal im Jahr (Sommer- und Wintersemester) Merkmale zu den Studierenden an deutschen Hochschulen erhoben. Die Einzeldaten werden aus den Verwaltungsdaten der Hochschulen gewonnen. Damit handelt es sich bei der Prüfungsstatistik um eine Sekundärstatistik. Die Statistik umfasst dabei u. a. Informationen zur Person (Geschlecht, Geburtsdatum, Staatsangehörigkeit), zum Studium im Berichtssemester (Art der Einschreibung und des Studiums, angestrebten Abschlussprüfung, Studienfach), zu den bereits abgelegten Abschlussprüfungen vor dem Berichtssemester oder auch zur Hochschulzugangsberechtigung. Aufgrund der hohen Fallzahlen in dieser Vollerhebung eignet sich die Statistik der Prüfungen zur Analyse von Teilpopulationen wie z. B. nach Geschlecht, Staatsangehörigkeit oder nach der Art der Einschreibung. Damit können z. B. Analysen zur Studiendauer und zum Studienerfolg durchgeführt und auch Aussagen zur Beliebtheit von Studienfächern, Studienabschlüssen und Hochschulen getroffen werden. Für weiterführende Auswertungen kann das Erhebungsprogramm der Prüfungsstatistik um den Datensatz der Studentenstatistik verlängert werden. In der Prüfungsstatistik sind allerdings nur die Absolventinnen und Absolventen des betreffenden Zeitraumes enthalten, der Datensatz umfasst dadurch nicht die Gesamtzahl der Studierenden eines Semesters.
description: Web-based interview
description: Studierende an deutschen Hochschulen
description: Vollerhebung
DOI: 10.15468/dl.jw7xmz
title: Occurrence Download

description: A dataset containing 739 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is one of (90fd6680-349f-11d8-aa2d-b8a03c50a862, 3c6ad080-bdbe-11da-ac59-b8a03c50a862, 814cdfb5-d4f8-4453-815f-ea5df98e76bf, 174c6da2-e002-42fe-9f56-2f9d670240f4)",
 "TaxonKey is Stachys coccinea Ortega"
 ]
}

 The dataset includes 739 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013622-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9z8kur
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aglae caerulea Lepeletier & Audinet-Serville, 1825"
 ]
}

 The dataset includes 84 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013606-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qu6hqp
title: Occurrence Download

description: A dataset containing 3713 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "Continent is North America",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Syntrichia ruralis (Hedw.) F.Weber & D.Mohr"
 ]
}

 The dataset includes 3713 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013614-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.