cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr24095.v2
title: Federal Justice Statistics Program: Defendants in Federal Criminal Cases Filed in District Court, 2000 [United States]
title: Version 2

description: The data contain records of defendants in criminal cases filed in United States District Court during fiscal year 2000. The data were constructed from the Administrative Office of the United States District Courts' (AOUSC) criminal file. Defendants in criminal cases may be either individuals or corporations. There is one record for each defendant in each case filed. Included in the records are data from court proceedings and offense codes for up to five offenses charged at the time the case was filed. (The most serious charge at termination may differ from the most serious charge at case filing, due to plea bargaining or action of the judge or jury.) In a case with multiple charges against the defendant, a "most serious" offense charge is determined by a hierarchy of offenses based on statutory maximum penalties associated with the charges. The data file contains variables from the original AOUSC files as well as additional analysis variables, or "SAF variables," that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Tables 4.1-4.5 and 5.1-5.6. Variables containing information (e.g., name, Social Security number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: Datasets: DS1: Federal Justice Statistics Program: Defendants in Federal Criminal Cases Filed in District Court, 2000 [United States]
description: Criminal cases filed in United States District Court during fiscal year 2000.
DOI: 10.3886/icpsr24095
title: Federal Justice Statistics Program: Defendants in Federal Criminal Cases Filed in District Court, 2000 [United States]
title: Archival Version

description: The data contain records of defendants in criminal cases filed in United States District Court during fiscal year 2000. The data were constructed from the Administrative Office of the United States District Courts' (AOUSC) criminal file. Defendants in criminal cases may be either individuals or corporations. There is one record for each defendant in each case filed. Included in the records are data from court proceedings and offense codes for up to five offenses charged at the time the case was filed. (The most serious charge at termination may differ from the most serious charge at case filing, due to plea bargaining or action of the judge or jury.) In a case with multiple charges against the defendant, a "most serious" offense charge is determined by a hierarchy of offenses based on statutory maximum penalties associated with the charges. The data file contains variables from the original AOUSC files as well as additional analysis variables, or "SAF variables," that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Tables 4.1-4.5 and 5.1-5.6. Variables containing information (e.g., name, Social Security number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: Datasets: DS1: Federal Justice Statistics Program: Defendants in Federal Criminal Cases Filed in District Court, 2000 [United States]
description: Criminal cases filed in United States District Court during fiscal year 2000.
DOI: 10.5281/zenodo.7761477
title: Data on eye movements of glaucoma patients with asymmetrical visual field loss during free viewing.

description: Raw eye tracking data and processed eye movement data were recorded from fifteen participants with assymmetrical visual field loss (visual field worse in one eye) while they freely viewed 270 images of nature with each eye monocularly.
description: {"references": ["Asfaw, D. S., Jones, P. R., M\u00f6nter, V. M., Smith, N. D., & Crabb, D. P. (2018). Does glaucoma alter eye movements when viewing images of natural scenes? A between-eye study. Investigative ophthalmology & visual science, 59(8), 3189-3198."]}
DOI: 10.3886/icpsr24085.v2
title: Federal Justice Statistics Program: Charges Filed Against Defendants in Criminal Cases in District Court, 1999 [United States]
title: Version 2

description: The data contain records of charges filed against defendants whose cases were filed by United States attorneys in United States district court during fiscal year 1999. The data are charge-level records, and more than one charge may be filed against a single defendant. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central Charge file. The charge-level data may be linked to defendant-level data (extracted from the EOUSA Central System file) through the CS_SEQ variable, and it should be noted that some defendants may not have any charges other than the lead charge appearing on the defendant-level record. The Central Charge and Central System data contain variables from the original EOUSA files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: Datasets: DS1: Federal Justice Statistics Program: Charges Filed Against Defendants in Criminal Cases in District Court, 1999 [United States]
description: Charges filed against defendants in United States district court during fiscal year 1999.
DOI: 10.5281/zenodo.7761476
title: Data on eye movements of glaucoma patients with asymmetrical visual field loss during free viewing.

description: Raw eye tracking data and processed eye movement data were recorded from fifteen participants with assymmetrical visual field loss (visual field worse in one eye) while they freely viewed 270 images of nature with each eye monocularly.
description: {"references": ["Asfaw, D. S., Jones, P. R., M\u00f6nter, V. M., Smith, N. D., & Crabb, D. P. (2018). Does glaucoma alter eye movements when viewing images of natural scenes? A between-eye study. Investigative ophthalmology & visual science, 59(8), 3189-3198."]}
DOI: 10.5281/zenodo.7764418
title: Raw datasets for paper "Rapid Spatio-Temporal Flood Modelling via Hydraulics-Based Graph Neural Networks"

description: Raw datasets for paper "Rapid Spatio-Temporal Flood Modelling via Hydraulics-Based Graph Neural Networks". The zip folder comprises 4 subfolders (DEM, WD, VX, VY), containing the elevation, water depths in time, and velocities (in x and y directions) in time for all training and testing simulations. The overview.csv file provides the runtime of the numerical model on each different simulation, identified by its id. The simulations ids are divided as follows: - 1-80: Training and validation - 501-520: Testing dataset 1 - 10001-10020: Testing dataset 2 - 15001-15020: Testing dataset 3
DOI: 10.6084/m9.figshare.22328218
title: Increased GH/IGF-I axis activity relates with lower hepatic lipids and phosphor metabolism.

description: supplementary figure 1
DOI: 10.5281/zenodo.7639232
title: Raw datasets for paper "Rapid Spatio-Temporal Flood Modelling via Hydraulics-Based Graph Neural Networks"

description: Raw datasets for paper "Rapid Spatio-Temporal Flood Modelling via Hydraulics-Based Graph Neural Networks". The zip folder comprises 4 subfolders (DEM, WD, VX, VY), containing the elevation, water depths in time, and velocities (in x and y directions) in time for all training and testing simulations. The overview.csv file provides the runtime of the numerical model on each different simulation, identified by its id. The simulations ids are divided as follows: - 1-80: Training and validation - 501-520: Testing dataset 1 - 10001-10020: Testing dataset 2 - 15001-15020: Testing dataset 3
DOI: 10.5281/zenodo.7763972
title: Optimizing Sparse Matrix-Matrix Multiplication for the GPU supplementary data

description: This contains the matrices for the SpGEMM tests presented in "Optimizing Sparse Matrix-Matrix Multiplication for the GPU", by Steven Dalton, Nathan Bell, and Luke N. Olson. Each A matrix from Table 3 has an companion matrix P in the directory. The storage scheme appends "_P" to the end of the A matrix filename.<br>
DOI: 10.6084/m9.figshare.22329016
title: BirdNET playback database

description: Raw data <br>
DOI: 10.5281/zenodo.3827276
title: Laboratory measurements of wind, waves, and turbulence in hurricane conditions in the ASIST wind-wave facility

description: Laboratory measurements of wind, waves, and turbulence in hurricane conditions, collected in September and October of 2018 and January of 2019 in the ASIST wind-wave facility, in the SUSTAIN laboratory at the University of Miami. This dataset includes two experiments, one with fresh water ("fresh") and another with seawater ("salt"), each in 10-m winds from 0 to approximately 42 m/s. Data include: 3-dimensional wind velocity at 20 Hz sampling frequency from Campbell Scientific IRGASON sonic anemometer (collected in 2018) 2-dimensional (along-tank and vertical) wind velocity at 1000 Hz sampling frequency from TSI IFA-300 hot film anemometer (collected in 2018) 1-dimensional (along-tank) wind velocity at 10 Hz sampling frequency from a pitot anemometer (collected in 2018 and 2019) 3-dimensional water velocity in the bottom 5 cm of the tank at 100 Hz sampling velocity from Nortek Vectrino velocimeter. (collected in 2018) Water elevation at 20 Hz sampling frequency at 6 locations in the tank from Senix Toughsonic 30 ultrasonic distance meters (collected in 2019) Along-tank static air pressure difference at 10 Hz sampling frequency from Baratron MKS 226 differential pressure transducer (collected in 2019) All data is in NetCDF4 format. Experiment set up and positions of instruments are documented in more detail in Curcic and Haus (2020), Revised estimates of ocean surface drag in strong winds, <em>Geophysical Research Letters</em>, https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL087647. Produced as part of the National Science Foundation Award #1745384, titled "Air-Sea Momentum Transfer in Extreme Wind Conditions"<strong>.</strong> Contact: Milan Curcic &lt;mcurcic@miami.edu&gt;
description: Contact: Milan Curcic
description: {"references": ["10.1029/2020GL087647"]}
DOI: 10.3886/icpsr24069.v3
title: Federal Justice Statistics Program: Arrests and Bookings for Federal Offenses, 1998 [United States]
title: Version 3

description: The data contain records of arrests and bookings for federal offenses in the United States during fiscal year 1998. The data were constructed from the United States Marshals Service (USMS) Prisoner Tracking System database. Records include arrests made by federal law enforcement agencies (including the USMS), state and local agencies, and self-surrenders. Offenders arrested for federal offenses are transferred to the custody of the USMS for processing, transportation, and detention. The Prisoner Tracking System contains data on all offenders within the custody of the USMS. The data file contains variables from the original USMS files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Tables 1.1-1.3. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: Datasets: DS1: Federal Justice Statistics Program: Arrests and Bookings for Federal Offenses, 1998 [United States]
description: Federal offenders in the custody of the United States Marshals Service during fiscal year 1998.
description: 08-27-20014 This study has been deaccessioned and is no longer available from ICPSR or NACJD.
DOI: 10.5281/zenodo.7763971
title: Optimizing Sparse Matrix-Matrix Multiplication for the GPU supplementary data

description: This contains the matrices for the SpGEMM tests presented in "Optimizing Sparse Matrix-Matrix Multiplication for the GPU", by Steven Dalton, Nathan Bell, and Luke N. Olson. Each A matrix from Table 3 has an companion matrix P in the directory. The storage scheme appends "_P" to the end of the A matrix filename.<br>
DOI: 10.5281/zenodo.3827275
title: Laboratory measurements of wind, waves, and turbulence in hurricane conditions in the ASIST wind-wave facility

description: Laboratory measurements of wind, waves, and turbulence in hurricane conditions, collected in September and October of 2018 and January of 2019 in the ASIST wind-wave facility, in the SUSTAIN laboratory at the University of Miami. This dataset includes two experiments, one with fresh water ("fresh") and another with seawater ("salt"), each in 10-m winds from 0 to approximately 42 m/s. Data include: 3-dimensional wind velocity at 20 Hz sampling frequency from Campbell Scientific IRGASON sonic anemometer (collected in 2018) 2-dimensional (along-tank and vertical) wind velocity at 1000 Hz sampling frequency from TSI IFA-300 hot film anemometer (collected in 2018) 1-dimensional (along-tank) wind velocity at 10 Hz sampling frequency from a pitot anemometer (collected in 2018 and 2019) 3-dimensional water velocity in the bottom 5 cm of the tank at 100 Hz sampling velocity from Nortek Vectrino velocimeter. (collected in 2018) Water elevation at 20 Hz sampling frequency at 6 locations in the tank from Senix Toughsonic 30 ultrasonic distance meters (collected in 2019) Along-tank static air pressure difference at 10 Hz sampling frequency from Baratron MKS 226 differential pressure transducer (collected in 2019) All data is in NetCDF4 format. Experiment set up and positions of instruments are documented in more detail in Curcic and Haus (2020), Revised estimates of ocean surface drag in strong winds, <em>Geophysical Research Letters</em>, https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL087647. Produced as part of the National Science Foundation Award #1745384, titled "Air-Sea Momentum Transfer in Extreme Wind Conditions"<strong>.</strong> Contact: Milan Curcic &lt;mcurcic@miami.edu&gt;
description: Contact: Milan Curcic
description: {"references": ["10.1029/2020GL087647"]}
DOI: 10.3886/icpsr24079.v2
title: Federal Justice Statistics Program: Criminal Appeals Cases Filed in Courts of Appeals, 2000 [United States]
title: Version 2

description: The data contain records of criminal appeals cases filed in United States Courts of Appeals during fiscal year 2000. The data were constructed from the Administrative Office of the United States Courts' (AOUSC) Court of Appeals file. These contain variables on the nature of the criminal appeal, the underlying offense, and the disposition of the appeal. An appeal can be filed by the government or the offender, and the appellant can appeal the sentence, the verdict, or both sentence and verdict. The data file contains variables from the original AOUSC files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Tables 6.1-6.5. Variables containing information (e.g., name, Social Security number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: Datasets: DS1: Federal Justice Statistics Program: Criminal Appeals Cases Filed in Courts of Appeals, 2000 [United States]
description: Criminal appeals cases filed in United States Courts of Appeals during fiscal year 2000.
DOI: 10.3886/icpsr24079
title: Federal Justice Statistics Program: Criminal Appeals Cases Filed in Courts of Appeals, 2000 [United States]
title: Archival Version

description: The data contain records of criminal appeals cases filed in United States Courts of Appeals during fiscal year 2000. The data were constructed from the Administrative Office of the United States Courts' (AOUSC) Court of Appeals file. These contain variables on the nature of the criminal appeal, the underlying offense, and the disposition of the appeal. An appeal can be filed by the government or the offender, and the appellant can appeal the sentence, the verdict, or both sentence and verdict. The data file contains variables from the original AOUSC files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Tables 6.1-6.5. Variables containing information (e.g., name, Social Security number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: Datasets: DS1: Federal Justice Statistics Program: Criminal Appeals Cases Filed in Courts of Appeals, 2000 [United States]
description: Criminal appeals cases filed in United States Courts of Appeals during fiscal year 2000.
DOI: 10.15468/dl.9hga45
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query: { "TaxonKey" : [ "is Rumicastrum dipetalum (J.M.Black) Carolin" ] } The dataset includes 0 records from 0 constituent datasets:
DOI: 10.5281/zenodo.7764274
title: Sediment gravity-flow drives the buildup of the modern Huanghe (Yellow River) delta front

description: The dataset contains the output data of the numerical model and the source code for processing the data. 1 Model validation The simulation time period covers 1996 to 2010 CE for H1, 1986 to 2009 CE for H2, and 1986 to 2008 CE for H3. 1.1 The grain size distribution of the H1-H3 profile .grain 1.2 The seafloor topography of the H1-H3 profile .bin 2 Sensitivity numerical experiments 2.1 The grain size distribution of the YD01-YD03 cores .grain We selected three cores (YD01, YD02, and YD03) at the H2 profile, simulated for the period of 1986-2006. 2.2 The seafloor topography of the H2 profile .bin The model runs over timespans of 10 years (1986 to 1996), 20 years (1986 to 2006), and 30 years (1986 to 2015). 2.3 The measured seafloor topography of the H2 profile .xlsx 2.4 Original experimental data related to soil core samples .xlsx 3 The plot_ grain.m and plot_ elevation.m file is used to process and analyze grain size distribution and topography, respectively
DOI: 10.3886/icpsr24082.v2
title: Federal Justice Statistics Program: Suspects in Federal Criminal Matters Concluded, 1999 [United States]
title: Version 2

description: The data contain records of suspects in federal criminal matters concluded by United States attorneys or United States magistrates during fiscal year 1999. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central System file. Records include suspects in criminal matters, and are limited to suspects whose matters were not declined immediately by the United States attorneys. According to the EOUSA, the United States attorneys conduct approximately 95 percent of the prosecutions handled by the Department of Justice. The Central System data contain variables from the original EOUSA files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Tables 1.2-1.5. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: Datasets: DS1: Federal Justice Statistics Program: Suspects in Federal Criminal Matters Concluded, 1999 [United States]
description: Suspects in federal criminal matters concluded by United States attorneys or United States magistrates during fiscal year 1999.
DOI: 10.5281/zenodo.7764273
title: Sediment gravity-flow drives the buildup of the modern Huanghe (Yellow River) delta front

description: The dataset contains the output data of the numerical model and the source code for processing the data. 1 Model validation The simulation time period covers 1996 to 2010 CE for H1, 1986 to 2009 CE for H2, and 1986 to 2008 CE for H3. 1.1 The grain size distribution of the H1-H3 profile .grain 1.2 The seafloor topography of the H1-H3 profile .bin 2 Sensitivity numerical experiments 2.1 The grain size distribution of the YD01-YD03 cores .grain We selected three cores (YD01, YD02, and YD03) at the H2 profile, simulated for the period of 1986-2006. 2.2 The seafloor topography of the H2 profile .bin The model runs over timespans of 10 years (1986 to 1996), 20 years (1986 to 2006), and 30 years (1986 to 2015). 2.3 The measured seafloor topography of the H2 profile .xlsx 2.4 Original experimental data related to soil core samples .xlsx 3 The plot_ grain.m and plot_ elevation.m file is used to process and analyze grain size distribution and topography, respectively
DOI: 10.3886/icpsr24082
title: Federal Justice Statistics Program: Suspects in Federal Criminal Matters Concluded, 1999 [United States]
title: Archival Version

description: The data contain records of suspects in federal criminal matters concluded by United States attorneys or United States magistrates during fiscal year 1999. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central System file. Records include suspects in criminal matters, and are limited to suspects whose matters were not declined immediately by the United States attorneys. According to the EOUSA, the United States attorneys conduct approximately 95 percent of the prosecutions handled by the Department of Justice. The Central System data contain variables from the original EOUSA files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Tables 1.2-1.5. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: Datasets: DS1: Federal Justice Statistics Program: Suspects in Federal Criminal Matters Concluded, 1999 [United States]
description: Suspects in federal criminal matters concluded by United States attorneys or United States magistrates during fiscal year 1999.