cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr23800.v1
title: Uniform Crime Reporting Program Data [United States]: Hate Crime Data, 1999 [Record-Type Files]
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: 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.
DOI: 10.3886/icpsr23821.v1
title: Uniform Crime Reporting Program Data [United States]: Hate Crime Data, 1998 [Record-Type Files]
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: 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.
DOI: 10.25345/c5db7vt7t
title: MassIVE MSV000089299 - Proteomic analysis of the peptic and pancreatic digests of whole milk
title: Samples were subjected to either low pasteurisation (control), direct or indirect UHT treatment.Direct and indirect UHT treated samples were stored under aseptic conditions at 40 degree for a total of 250 days.Samples were subjected to in vitro digestion by pepsin at pH 2 followed by pancreatin at pH 8, thereby simulating the conditions in the human gastrointestinal tract.17 For pepsin digestion, 14.3 mL of each sample was added to a 50 mL Falcon tube and incubated at 37 degree in a water bath for 30 min. Magnetic stirring was applied to ensure the homogeneity of samples. The samples were then adjusted to pH 2 with 1 M HCl and pepsin (Sigma P7000, 250 units/mg solid) was added at a protein/enzyme ratio of 1.25% (w/w). After 2 h of pepsin digestion, 1 mL of each digested sample was transferred to an Eppendorf tube and 10 micro liter of 1 mg/mL Pepstatin A (Sigma 77170) was added to terminate the reaction. The remaining samples were immediately digested using pancreatin. Each sample was adjusted to pH 8 with 1.43 M sodium bicarbonate (Fluka, Roskilde, Denmark) and then pancreatin (Sigma P7545) was added at a protein/substrate ratio of 1.5% (w/w). After 4 h of pancreatin digestion, 1 mL of each digested sample was transferred to an Eppendorf tube placed on ice and 100 micro liter of cOmplete Protease inhibitor cocktail (1 tablet in 25 mL of Milli-Q water, Roche, Basel, Switzerland) was added to terminate the reaction.
DOI: 10.3886/icpsr23840.v1
title: Uniform Crime Reporting Program Data [United States]: Hate Crime Data, 1997 [Record-Type Files]
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: 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.
DOI: 10.7488/1bb0aafc-97c2-4ffa-bf20-ba06b1772ab8
title: “The Show Must Go On!” Dance Talent Development in the Context of COVID-19

description: Fifteen pseudonymised transcripts.
description: Talent development research has identified psychology as an essential component to assist performers negotiate inevitable periods of transition or challenge. Importantly, psychobehavioral skills are useful when either transitioning up or out of a pathway. Therefore, this study aimed to explore the likely maintenance, development, or transition-out of the dance talent development pathway (or enhanced performance within it) and the talent development support provided during COVID-19 lockdowns. Interviews were conducted with 15 teachers, lecturers, or dance masters/mistresses (11 females, 4 males; Mage = 42.3 years; Mexperience = 18.4 years) across eight performance or educational government-funded organisations in Scotland. Data were analyzed inductively and deductively using reflexive thematic analysis against the study aim to explore the specific psychological and environmental derivatives impacting on performers during COVID-19. Findings revealed important perceived impacts on both physical and mental health and wellbeing amongst performers, with the majority of participants reporting surprise that some performers coped better or worse than expected. Coping well was perceived to result from taking advantage of developmental opportunities, facilitative environmental factors, and the possession of key psychobehavioral characteristics. Performers who did not cope well struggled with a range of teaching, interpersonal, physical, and psychological factors which were exacerbated by social/environmental contexts, ultimately leading to disengagement or derailment from the talent pathway. These data suggest a need for greater and proactive integration of psychobehavioral skills within dance talent development pathways to best support those advancing to professional status and those that do not.
DOI: 10.3886/icpsr23841.v1
title: Uniform Crime Reporting Program Data [United States]: Hate Crime Data, 1996 [Record-Type Files]
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: 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.
DOI: 10.34740/kaggle/dsv/3510242
title: COVID Vaccination in World (updated daily)
DOI: 10.3886/icpsr23940.v1
title: Uniform Crime Reporting Program Data [United States]: Hate Crime Data, 1995 [Record-Type Files]
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: 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.
DOI: 10.5281/zenodo.6477664
title: Exoplanet imaging data challenge, phase 2

description: <strong>Datasets for the second phase of the Exoplanet Imaging Data Challenge</strong> (https://exoplanet-imaging-challenge.github.io). The second phase of the Exoplanet Imaging Data Challenge is focused on the characterisation of exoplanet signals in high-contrast imaging data. The participants must perform two tasks: provide (1) astrometry of the detected signals, and (2) spectrophotometry of the detected signals. For this phase, we therefore provide with <strong>8</strong> high-contrast data sets, taken with two integral field spectrographs: SPHERE-IFS installed at the Very Large Telescope (VLT, Chile) and GPI installed at the Gemini-South telescope (Chile). Each data set consists of the following files (in <em>.fits</em> format): (a) <em>image_cube_instxx.fits</em>: the coronagraphic multispectral image cube, acquired in pupil-stabilized mode;<br> (b) <em>parallactic_angles_instxx.fits</em>: the corresponding parallactic angle and airmass variation during the observation sequence;<br> (c) <em>wavelength_vect_instxx.fits</em>: the corresponding wavelength vector for each spectral channel;<br> (d) <em>psf_cube_instxx.fits</em>: the non-coronagraphic (point spread function) multispectral image of the target star;<br> (e) <em>first_guess_astrometry_instxx.fits</em>: a first guess position w.r.t the star of the (2 or 3) injected planetary signals. Each data set has 2 to 3 injected planetary signals in various locations.<br> Each data set has very different observing conditions, from very good to very bad. <em>Additional information and ressources can be found on the website and dedicated Github repository.</em> <em>The results of the data challenge must be submitted directly by participants on the EvalAI platform.</em>
DOI: 10.3886/icpsr23960.v1
title: Uniform Crime Reporting Program Data [United States]: Hate Crime Data, 1994 [Record-Type Files]
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: 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.
DOI: 10.23728/b2share.412e4ad7bae34dc48ba7f8e599a47d33
title: DICE: Training programme

description: This document includes the inventory of the existing training material related to data storage and management solutions, identifies the gaps and defines the activities and the strategy that will be put in place to fill those training gaps and maximise the uptake of the DICE services. The plan will be developed by liaising with the INFRAOESC-03 (EOSC Future) and INFRAOESC-07 projects.
DOI: 10.6084/m9.figshare.19636077
title: Out-of-school language learning through digital gaming: A case study from an activity theory perspective

description: This folder contains the supplementary materials provided to the students throughout the project
DOI: 10.6084/m9.figshare.19636077.v1
title: Out-of-school language learning through digital gaming: A case study from an activity theory perspective

description: This folder contains the supplementary materials provided to the students throughout the project
DOI: 10.23728/b2share.195e7ec4d8e04374a84516214dd56a69
title: DICE: Planning for the integration with other services & platforms

description: This deliverable consists of the technical report from task 4.1 “Compute and Analysis” on the integration of B2-services and object storage services, and from task 4.4 “Sensitive Data” on the design of the sensitive data workflow.
DOI: 10.23728/b2share.b27ba476b37740d598a87092e1a527f0
title: DICE: Pilots for the integration with other services & platforms

description: This deliverable includes the pilot use cases for the integration of data services with computing platforms of T4.1 the integration of the integrity check for PIDs of T4.2 the long-term preservation policies for B2SHARE and B2SAFE of T4.3 and the sensitive data risk analysis of T4.4.
DOI: 10.23728/b2share.febb345de1174ca287bc3792fcd21a01
title: DICE: Pilots description and validation

description: This deliverable describes the use cases pilot design for integration of the platforms selected, and validation tests in progress or planned to demonstrate their impact.
DOI: 10.6084/m9.figshare.19636200
title: dataset-04-22-22_09-53-38

description: This description is a placeholder
DOI: 10.6084/m9.figshare.19636200.v1
title: dataset-04-22-22_09-53-38

description: This description is a placeholder