cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14845981
title: 4DHydro_Results_Tetis_Sentinel_Po_30sec_daily_SC12_20220402_20221231

description: Modeling results with TETIS software, for Po River with a spatial resolution of 30 sec, and temporal resolution daily. Experiment SC12. Earth observation Sentinel.

Includes results for the following variables:



Discharge flux in m-3 s-1

Volumetric soil moisture content in percentage

Total water storage content in kg m-2

Total evapotranspiration flux in kg m-2 s-1

Snow water equivalent in kg m-2


Additional, a .csv file with discharge values at certain points, for each day in cubic meters per second.
DOI: 10.5281/zenodo.14845982
title: 4DHydro_Results_Tetis_Sentinel_Po_30sec_daily_SC12_20220402_20221231

description: Modeling results with TETIS software, for Po River with a spatial resolution of 30 sec, and temporal resolution daily. Experiment SC12. Earth observation Sentinel.

Includes results for the following variables:



Discharge flux in m-3 s-1

Volumetric soil moisture content in percentage

Total water storage content in kg m-2

Total evapotranspiration flux in kg m-2 s-1

Snow water equivalent in kg m-2


Additional, a .csv file with discharge values at certain points, for each day in cubic meters per second.
DOI: 10.5281/zenodo.13316870
title: National Checklists: Tajikistan Species List

description: Data from: GBIF.org (23 January 2025) GBIF Occurrence Download https://doi.org/10.15468/dl.vd2ajk
DOI: 10.5281/zenodo.13316871
title: National Checklists 2019: Tajikistan Species List

description: Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See https://github.com/diatomsRcool/checklists for details.
A list of species from Tajikistan collected using effechecka and geonames polygons
DOI: 10.5281/zenodo.14838122
title: National Checklists: Tajikistan Species List

description: Data from: GBIF.org (23 January 2025) GBIF Occurrence Download https://doi.org/10.15468/dl.vd2ajk
DOI: 10.3886/icpsr37001
title: The Criminalization of LGBQ/GNCT Youth, California, 2014
title: Archival Version

description: The researchers examined sexual-orientation and gender conformity disparities in criminalization for prostitution. The specific purpose of this study was to explore the links between family rejection, homelessness, child welfare involvement, and prostitution charges for youth in the justice system.
description: The purpose of this project was to explore the links between family rejection, homelessness, child welfare involvement, and prostitution charges for youth in the justice system. By identifying and understanding the relationships among the variables in this pathway, the researchers hoped to inform targeted policy reform and interventions. From the existing literature, two key hypotheses were tested using the data. <strong>Hypothesis #1:</strong> Home removal, running away, and homelessness increase youths' chances of being detained or incarcerated for prostitution. <strong>Hypothesis #2:</strong> Even among the population of youth who have been removed from their homes, runaway or are homeless, Lesbian, Gay, Bisexual, Questioning (LGBQ) and Gender Nonconforming (GNCT) youth are at a higher risk than heterosexual, gender conforming and cisgender youth of being detained or incarcerated for prostitution.
description: For the present study, the researchers conducted secondary analysis of survey data collected in 2014 from youth detained or incarcerated in California. Forty-six of the 48 California county probation departments that manage secure facilities collected surveys on one day between the beginning and end of the research project.
description: Variables in this collection include: Demographic Variables (age, race, and ethnicity) Variables on Sexual Orientation and Gender Identity Variables on Crime (reasons for being in juvenile detention), and Personal background (Suspension or Expulsion from school, kicked out of home or run away, placed in group home or foster home, become homeless)
description: none
description: Response Rates: The refusal rate was less than 2% in each site.
description: Respondents were youth detained prior to adjudication or incarcerated post-adjudication in county detention halls, ranches, and camps. Youth who were detained or incarcerated at the time of the survey responded to questions assessing sexual orientation, gender identity, gender expression, and other demographic characteristics; individuals' histories of school suspension and expulsion, child welfare system involvement, and homelessness; and the types of crimes for which they were currently detained or incarcerated.
description: Datasets: DS1: The Criminalization of LGBQ/GNCT Youth, California, 2014
description: Youth detained or incarcerated in California in 2014. Smallest Geographic Unit: County
description: face-to-face interview
DOI: 10.5281/zenodo.13317115
title: National Checklists 2019: Vietnam Species List

description: Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See https://github.com/diatomsRcool/checklists for details.
A list of species from Vietnam collected using effechecka and geonames polygons
DOI: 10.5281/zenodo.14838172
title: National Checklists: Vietnam Species List

description: Data from: GBIF.org (23 January 2025) GBIF Occurrence Download https://doi.org/10.15468/dl.vd2ajk
DOI: 10.5281/zenodo.13317114
title: National Checklists: Vietnam Species List

description: Data from: GBIF.org (23 January 2025) GBIF Occurrence Download https://doi.org/10.15468/dl.vd2ajk
DOI: 10.3886/icpsr37060.v1
title: Uniform Crime Reporting Program Data: Hate Crime Data (Record-Type Files), United States, 2016
title: UCR Hate Crime, 2016
title: Version 1

description: In response to a growing concern about hate crimes, the United States Congress enacted the Hate Crime Statistics Act of 1990. The Act requires the attorney general to establish guidelines and collect, as part of the Uniform Crime Reporting (UCR) Program, data "about crimes that manifest evidence of prejudice based on race, religion, sexual orientation, or ethnicity, including where appropriate the crimes of murder and non-negligent manslaughter, forcible rape, aggravated assault, simple assault, intimidation, arson, and destruction, damage or vandalism of property." Hate crime data collection was required by the Act to begin in calendar year 1990 and to continue for four successive years. In September 1994, the Violent Crime Control and Law Enforcement Act amended the Hate Crime Statistics Act to add disabilities, both physical and mental, as factors that could be considered a basis for hate crimes. Although the Act originally mandated data collection for five years, the Church Arson Prevention Act of 1996 amended the collection duration "for each calendar year," making hate crime statistics a permanent addition to the UCR program. As with the other UCR data, law enforcement agencies contribute reports either directly or through their state reporting programs. Information contained in the data includes number of victims and offenders involved in each hate crime incident, type of victims, bias motivation, offense type, and location type.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of 
				disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major 
				statistical software formats as well as standard codebooks to accompany the data. In addition to 
				these procedures, ICPSR performed the following processing steps for this data collection:
			   		Checked for undocumented or out-of-range codes..
description: Datasets: 
					
						DS0: Study-Level Files
						DS1: Batch Header File
						DS2: Incident Record File
description: Uniform Crime Reporting Program Data Series
description: computer-assisted self interview (CASI)
description: self-enumerated questionnaire
description: Hate crime incidents reported by law enforcement agencies in the United States.
				   		Smallest Geographic Unit: State, county, jurisdiction
DOI: 10.3886/icpsr37060.v2
title: Uniform Crime Reporting Program Data: Hate Crime Data (Record-Type Files), United States, 2016
title: Version 2

description: In response to a growing concern about hate crimes, the United States Congress enacted the Hate Crime Statistics Act of 1990. The Act requires the attorney general to establish guidelines and collect, as part of the Uniform Crime Reporting (UCR) Program, data "about crimes that manifest evidence of prejudice based on race, religion, sexual orientation, or ethnicity, including where appropriate the crimes of murder and non-negligent manslaughter, forcible rape, aggravated assault, simple assault, intimidation, arson, and destruction, damage or vandalism of property." Hate crime data collection was required by the Act to begin in calendar year 1990 and to continue for four successive years. In September 1994, the Violent Crime Control and Law Enforcement Act amended the Hate Crime Statistics Act to add disabilities, both physical and mental, as factors that could be considered a basis for hate crimes. Although the Act originally mandated data collection for five years, the Church Arson Prevention Act of 1996 amended the collection duration "for each calendar year," making hate crime statistics a permanent addition to the UCR program. As with the other UCR data, law enforcement agencies contribute reports either directly or through their state reporting programs. Information contained in the data includes number of victims and offenders involved in each hate crime incident, type of victims, bias motivation, offense type, and location type.
description: Datasets: DS0: Study-Level Files DS1: Batch Header File DS2: Incident Record File
description: Hate crime incidents reported by law enforcement agencies in the United States. Smallest Geographic Unit: State, county, jurisdiction
description: computer-assisted self interview (CASI); self-enumerated questionnaireThe original hierarchical file has been split into two files: a Batch Header File and an Incident Record File. The Batch Header File contains a record for each law enforcement agency whether or not they reported an incident. The Batch Header File variables are merged into the Incident Record File for those agencies that reported an incident.Each victim-type variable has been split into eight separate flag variables to record each victim type. Previously, the variables were eight-character strings that contained the first letter of each victim type in any order.At the recommendation of the CJIS APB and with the approval of the FBI Director, the FBI UCR Program initiated the collection of rape data under a revised definition and removed the term "forcible" from the offense name in 2013. The changes bring uniformity to the offense in both the Summary Reporting System (SRS) and the NIBRS by capturing data (1) without regard to gender, (2) including penetration of any bodily orifice by any object or body part, and (3) including offenses where physical force is not involved. As a result of this decision, the program renamed the SRS and NIBRS sex offenses - Forcible Rape to Rape, Forcible Sodomy to Sodomy, and Forcible Fondling to Fondling.
DOI: 10.3886/icpsr34920.v1
title: Start Strong Evaluation Student Survey Data, 2010-2012
title: Version 1

description: This longitudinal survey of middle school students was conducted as part of the evaluation of Start Strong: Building Healthy Teen Relationships, a national program to prevent teen dating violence and abuse by teaching 11- to- 14-year-olds about healthy relationships. Start Strong was was an initiative of the Robert Wood Johnson Foundation (RWJF) in collaboration with the Blue Shield of California Foundation and Futures Without Violence. Eight schools in three of the Start Strong sites participated in the evaluation, four implementing Start Strong and four which did not have any teen dating violence prevention programs. Topics covered by the four waves of the survey, which were conducted in fall 2010, spring 2011, fall 2011 and spring 2012, include self-confidence, self-reported school grades, coping with anger and disagreements, gender roles in relationships, dating violence, bullying, communication with parents and teachers, alcohol use, dating and relationship history, social media use, age of dating partners, school and community resources for dating violence victims, and family background.
description: Response Rates: A total of 2,626 students in the eight evaluation schools were eligible to participate at baseline (wave 1). Parental consent and student assent were obtained from 1,517 students (58 percent). Ninety four percent of the 1,517 students responded in wave 1, 92 percent in wave 2, 86 percent in wave 3 and 83 percent in wave 4.
description: Presence of Common Scales: The data file contains computed scales on bullying; sexual harassment; parent-child communication; classroom climate; relationship satisfaction, support, criticism and dominance; and teen dating/partner violence victimization.
description: The evaluation sites were chosen based on the following criteria: implementation of Safe Dates (one of the two Start Strong adolescent dating abuse prevention curricula) to 7th grade students during the 2010-2011 school term; a minimum of 100 students per grade in order to have adequate statistical power; and feasibility of participation in the evaluation. Intervention schools were matched with comparison schools based on school size, the percent of students on free or reduced lunch, race/ethnicity, and metropolitan area characteristics. Eligibility criteria for students at participating schools included being able to complete the instrument in English and not being in a self-contained classroom.
description: Datasets: DS0: Study-Level Files DS1: Public Use Version of the Data DS2: Restricted Use Version of the Data
description: Students who were in the 7th grade in the 2010-2011 school year.
description: on-site questionnaire
DOI: 10.3886/icpsr34920.v2
title: Start Strong Evaluation Student Survey Data, 2010-2012
title: Version 2

description: This longitudinal survey of middle school students was conducted as
part of the evaluation of Start Strong: Building Healthy Teen
Relationships, a national program to prevent teen dating violence and
abuse by teaching 11- to- 14-year-olds about healthy relationships.
Start Strong was was an initiative of the Robert Wood Johnson
Foundation (RWJF) in collaboration with the Blue Shield of California
Foundation and Futures Without Violence. Eight schools in three of the
Start Strong sites participated in the evaluation, four implementing
Start Strong and four which did not have any teen dating violence
prevention programs. Topics covered by the four waves of the survey,
which were conducted in fall 2010, spring 2011, fall 2011 and spring
2012, include self-confidence, self-reported school grades, coping
with anger and disagreements, gender roles in relationships, dating violence, bullying, communication with parents and teachers, alcohol use, dating and relationship history, social media use, age of dating partners, school and community resources for dating violence victims, and family background.
description: Response Rates: A total of 2,626 students in the eight evaluation schools were eligible to participate at baseline (wave 1). Parental consent and student assent were obtained from 1,517 students (58 percent). Ninety four percent of the 1,517 students responded in wave 1, 92 percent in wave 2, 86 percent in wave 3 and 83
percent in wave 4.
description: Presence of Common Scales: The data file contains computed scales on bullying; sexual harassment; parent-child communication; classroom climate; relationship satisfaction, support, criticism and dominance; and teen dating/partner violence victimization.
description: The evaluation sites were chosen based on the following criteria: implementation of Safe Dates (one of the two Start Strong adolescent dating abuse prevention curricula) to 7th grade students during the 2010-2011 school term; a minimum of 100 students per grade in order to have adequate statistical power; and feasibility of participation in the evaluation. Intervention schools were matched with comparison schools based on school size, the percent of students on free or reduced lunch, race/ethnicity, and metropolitan area characteristics. Eligibility criteria for students at participating schools included being able to complete the instrument in English and not being in a self-contained classroom.
description: Datasets: 
DS0: Study-Level Files
DS1: Public Use Version of the Data
DS2: Restricted Use Version of the Data
description: Students who were in the 7th grade in the 2010-2011 school year.
description: on-site questionnaire
DOI: 10.5281/zenodo.13317658
title: National Checklists: Senegal Species List

description: Data from: GBIF.org (23 January 2025) GBIF Occurrence Download https://doi.org/10.15468/dl.vd2ajk
DOI: 10.5281/zenodo.14838102
title: National Checklists: Senegal Species List

description: Data from: GBIF.org (23 January 2025) GBIF Occurrence Download https://doi.org/10.15468/dl.vd2ajk
DOI: 10.5281/zenodo.14837334
title: National Checklists: Hungary Species List

description: Data from: GBIF.org (23 January 2025) GBIF Occurrence Download https://doi.org/10.15468/dl.vd2ajk
DOI: 10.5281/zenodo.13317245
title: National Checklists: Hungary Species List

description: Data from: GBIF.org (23 January 2025) GBIF Occurrence Download https://doi.org/10.15468/dl.vd2ajk
DOI: 10.5281/zenodo.14838060
title: National Checklists: Singapore Species List

description: Data from: GBIF.org (23 January 2025) GBIF Occurrence Download https://doi.org/10.15468/dl.vd2ajk
DOI: 10.5281/zenodo.13316828
title: National Checklists: Seychelles Species List

description: Data from: GBIF.org (23 January 2025) GBIF Occurrence Download https://doi.org/10.15468/dl.vd2ajk
DOI: 10.5281/zenodo.13316829
title: National Checklists 2019: Seychelles Species List

description: Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See https://github.com/diatomsRcool/checklists for details.
A list of species from Seychelles collected using effechecka and geonames polygons
DOI: 10.5281/zenodo.14838035
title: National Checklists: Seychelles Species List

description: Data from: GBIF.org (23 January 2025) GBIF Occurrence Download https://doi.org/10.15468/dl.vd2ajk
DOI: 10.5281/zenodo.13317555
title: National Checklists: Morocco Species List

description: Data from: GBIF.org (23 January 2025) GBIF Occurrence Download https://doi.org/10.15468/dl.vd2ajk
DOI: 10.5281/zenodo.13317556
title: National Checklists 2019: Morocco Species List

description: Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See https://github.com/diatomsRcool/checklists for details.
A list of species from Morocco collected using effechecka and geonames polygons
DOI: 10.5281/zenodo.14837574
title: National Checklists: Morocco Species List

description: Data from: GBIF.org (23 January 2025) GBIF Occurrence Download https://doi.org/10.15468/dl.vd2ajk
DOI: 10.5281/zenodo.13317672
title: National Checklists: Singapore Species List

description: Data from: GBIF.org (23 January 2025) GBIF Occurrence Download https://doi.org/10.15468/dl.vd2ajk
DOI: 10.5281/zenodo.14838124
title: National Checklists: Timor-Leste Species List

description: Data from: GBIF.org (23 January 2025) GBIF Occurrence Download https://doi.org/10.15468/dl.vd2ajk
DOI: 10.5281/zenodo.13316880
title: National Checklists: Timor-Leste Species List

description: Data from: GBIF.org (23 January 2025) GBIF Occurrence Download https://doi.org/10.15468/dl.vd2ajk
DOI: 10.15468/dl.cz5mqa
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gagea pratensis (Pers.) Dumort.",
 "Country is Germany",
 "InstitutionCode is BfN",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022844-250127130748423/datasets/export for details.
DOI: 10.6084/m9.figshare.28382258
title: Code

description: This demonstrates the code for our study titled "Enhanced object detection of Enterobius vermicularis eggs using cumulative transfer learning algorithm".
DOI: 10.3886/icpsr36995
title: Prostitution, Human Trafficking, and Victim Identification: Establishing an Evidence-Based Foundation for a Specialized Criminal Justice Response, New York City, 2015-2016
title: Archival Version
DOI: 10.5281/zenodo.13317762
title: National Checklists: Tuvalu Species List

description: Data from: GBIF.org (23 January 2025) GBIF Occurrence Download https://doi.org/10.15468/dl.vd2ajk
DOI: 10.3886/icpsr37459
title: Annual Probation Survey, 2016
title: Archival Version

description: The 2016 Annual Probation Survey provides a count of the total number of persons supervised on probation on January 1 and December 31, 2016, and a count of the number of persons entering and exiting probation supervision during 2016. The survey also provides counts of the number of probationers by certain characteristics, such as gender, race, Hispanic or Latino origin, offense, and supervision status. The survey covers all 50 states, the District of Columbia, and the federal system.
description: Datasets: DS1: Annual Probation Survey, 2016
description: Adult probationers, regardless of conviction status, who have been placed under the supervision of a probation agency as part of a court order between January 1, 2016, and December 31, 2016. Smallest Geographic Unit: jurisdiction
description: mail questionnaire
DOI: 10.5281/zenodo.13317750
title: National Checklists: Tonga Species List

description: Data from: GBIF.org (23 January 2025) GBIF Occurrence Download https://doi.org/10.15468/dl.vd2ajk
DOI: 10.5281/zenodo.13317751
title: National Checklists 2019: Tonga Species List

description: Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See https://github.com/diatomsRcool/checklists for details.
A list of species from Tonga collected using effechecka and geonames polygons
DOI: 10.5281/zenodo.14844286
title: Doppler lidar measurements from Villingen-Schwenningen, August 2023, Swabian MOSES 2023, Level 0 netCDF files

description: Original Doppler lidar measurements of the Doppler lidar system Lockheed Martin WindTracer WTX located at Villingen-Schwenningen, Germany (48.0563°N, 8.487°E) for the month of August 2023, sampled during the Swabian MOSES 2023 field campaign. 
description: Instrument: Lockheed Martin WindTracer WTX
DOI: 10.5281/zenodo.14844287
title: Doppler lidar measurements from Villingen-Schwenningen, August 2023, Swabian MOSES 2023, Level 0 netCDF files

description: Original Doppler lidar measurements of the Doppler lidar system Lockheed Martin WindTracer WTX located at Villingen-Schwenningen, Germany (48.0563°N, 8.487°E) for the month of August 2023, sampled during the Swabian MOSES 2023 field campaign. 
description: Instrument: Lockheed Martin WindTracer WTX