cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr24148
title: Federal Justice Statistics Program: Guideline Computations for Defendants Sentenced Under the Sentencing Reform Act, 2007
title: Archival Version

description: These data contain records of guideline computations and adjustments for each count of conviction for criminal defendants who were sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission (USSC) during fiscal year 2007. The data are one of two supplementary files that should be used in conjunction with the primary analysis file, which contains records for all defendants sentenced under the guidelines. These data can be linked to the primary analysis file using the unique identifier variable SEQ_NUM. The number of records for a defendant in the current data corresponds to the total number of guideline computations, which may or may not equal the total counts of conviction for that defendant, dependent upon the grouping rules of the particular guideline in question (see Section 3D1.2 of the guidelines manual). As an example, a defendant with five counts of drug trafficking will only have one guideline computation because each of the drug weights for each count are simply added together and only one calculation is necessary. However, if a defendant has five counts of bank robbery, he or she will have five separate guideline computations because bank robbery is considered to be a nongroupable offense. The data were obtained from the United States Sentencing Commission's Office of Policy Analysis' (OPA) Standardized Research Data File. 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: Guideline Computations for Defendants Sentenced Under the Sentencing Reform Act, 2007
description: Defendants sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission during fiscal year 2007.
DOI: 10.5517/ccdc.csd.cc2k8dbl
title: CCDC 2361559: Experimental Crystal Structure Determination

description: Related Article: Preethi Dhanapal, Manju S. L|2024|Synth.Met.|309|117752|doi:10.1016/j.synthmet.2024.117752
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kfrqh
title: CCDC 2366717: Experimental Crystal Structure Determination

description: Related Article: Xin Zhu, Pan Zhu, Xuzi Cong, Guanyu Ma, Qing Tang, Likai Wang, Zhenghua Tang|2024|Nanoscale|16|16952|doi:10.1039/D4NR02702G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.gwke2p
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((10.29349 55.42594,10.29349 55.41927,10.46595 55.4183,10.46608 55.48998,10.29349 55.48998,10.29349 55.42594))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Mustela putorius Linnaeus, 1758, Vulpes vulpes (Linnaeus, 1758), Neomys fodiens (Pennant, 1771), Lutra lutra (Linnaeus, 1758))"
 ]
}

 The dataset includes 67 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002683-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.car6kn
title: Occurrence Download

description: A dataset containing 27782 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Spheniscus magellanicus (J.R.Forster, 1781)"
 ]
}

 The dataset includes 27782 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002682-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rtxkz9
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((10.29349 55.42594,10.29349 55.41927,10.46595 55.4183,10.46608 55.48998,10.29349 55.48998,10.29349 55.42594))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Mustela erminea Linnaeus, 1758, Mustela putorius Linnaeus, 1758, Vulpes vulpes (Linnaeus, 1758), Neomys fodiens (Pennant, 1771), Lutra lutra (Linnaeus, 1758))"
 ]
}

 The dataset includes 78 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002684-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yx7y3w
title: Occurrence Download

description: A dataset containing 2245 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepus saxatilis F.Cuvier, 1823"
 ]
}

 The dataset includes 2245 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002686-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr24146.v3
title: Federal Justice Statistics Program: Defendants Sentenced Under the Sentencing Reform Act, 2002
title: Version 3

description: These data contain records of criminal defendants who were sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission (USSC) during fiscal year 2002. These data can be linked to the primary analysis file using the unique identifier variable SEQ_NUM. It is estimated that over 90 percent of felony defendants in the federal criminal justice system are sentenced pursuant to the SRA of 1984. The data were obtained from the United States Sentencing Commission's Office of Policy Analysis' (OPA) Standardized Research Data File. The Standardized Research Data File consists of variables from the Monitoring Department's database, which is limited to those defendants whose records have been furnished to the USSC by United States district courts and United States magistrates, as well as variables created by the OPA specifically for research purposes. The data include variables from the Judgement and Conviction (J and C) order submitted by the court, background and guideline information collected from the Presentencing Report (PSR), and the report on sentencing hearing in the Statement of Reasons (SOR). These data contain detailed information such as the guideline base offense level, offense level adjustments, criminal history, departure status, statement of reasons given for departure, and basic demographic information. These data are the primary analysis file and include only statute, guideline computation, and adjustment variables for the most serious offense of conviction. 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 Sentenced Under the Sentencing Reform Act, 2002
description: Defendants sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission during fiscal year 2002.
DOI: 10.15468/dl.vdffyt
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Reynoutria japonica Houtt.",
 "Geometry POLYGON((6.0662 49.5712,6.19175 49.5712,6.19175 49.64031,6.0662 49.64031,6.0662 49.5712))"
 ]
}

 The dataset includes 118 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002687-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13903411
title: POLIPHONE: A Dataset for Smartphone Model Identification from Audio Recordings

description: When dealing with multimedia data, source attribution is a key challenge from a forensic perspective. This task aims to determine how a given content was captured, providing valuable insights for various applications, including legal proceedings and integrity investigations. The source attribution problem has been addressed in different domains, from identifying the camera model used to capture specific photographs to detecting the synthetic speech generator or microphone model used to create or record given audio tracks.Recent advancements in this area rely heavily on machine learning and data-driven techniques, which often outperform traditional signal processing-based methods. However, a drawback of these systems is their need for large volumes of training data, which must reflect the latest technological trends to produce accurate and reliable predictions.This presents a significant challenge, as the rapid pace of technological progress makes it difficult to maintain datasets that are up-to-date with real-world conditions.For instance, in the task of smartphone model identification from audio recordings, the available datasets are often outdated or acquired inconsistently, making it difficult to develop solutions that are valid beyond a research environment.In this paper we present POLIPHONE, a dataset for smartphone model identification from audio recordings. It includes data from 20 recent smartphones recorded in a controlled environment to ensure reproducibility and scalability for future research.The released tracks contain audio data from various domains (i.e., speech, music, environmental sounds), making the corpus versatile and applicable to a wide range of use cases.We also present numerous experiments to benchmark the proposed dataset using a state-of-the-art classifier for smartphone model identification from audio recordings.
DOI: 10.5281/zenodo.13903412
title: POLIPHONE: A Dataset for Smartphone Model Identification from Audio Recordings

description: When dealing with multimedia data, source attribution is a key challenge from a forensic perspective. This task aims to determine how a given content was captured, providing valuable insights for various applications, including legal proceedings and integrity investigations. The source attribution problem has been addressed in different domains, from identifying the camera model used to capture specific photographs to detecting the synthetic speech generator or microphone model used to create or record given audio tracks.Recent advancements in this area rely heavily on machine learning and data-driven techniques, which often outperform traditional signal processing-based methods. However, a drawback of these systems is their need for large volumes of training data, which must reflect the latest technological trends to produce accurate and reliable predictions.This presents a significant challenge, as the rapid pace of technological progress makes it difficult to maintain datasets that are up-to-date with real-world conditions.For instance, in the task of smartphone model identification from audio recordings, the available datasets are often outdated or acquired inconsistently, making it difficult to develop solutions that are valid beyond a research environment.In this paper we present POLIPHONE, a dataset for smartphone model identification from audio recordings. It includes data from 20 recent smartphones recorded in a controlled environment to ensure reproducibility and scalability for future research.The released tracks contain audio data from various domains (i.e., speech, music, environmental sounds), making the corpus versatile and applicable to a wide range of use cases.We also present numerous experiments to benchmark the proposed dataset using a state-of-the-art classifier for smartphone model identification from audio recordings.
DOI: 10.15468/dl.wm3qkx
title: Occurrence Download

description: A dataset containing 330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Elpidia glacialis Théel, 1876"
 ]
}

 The dataset includes 330 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002688-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.urwg2j
title: Occurrence Download

description: A dataset containing 2245 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepus saxatilis F.Cuvier, 1823"
 ]
}

 The dataset includes 2245 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002689-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13903658
title: QCA-2024-SCC-ZP46444 R&D data

description: Project Code: QCA-2024-SCC-ZP46444.This project is classified as CONFIDENTIAL. All information, data, and results associated with this project are strictly restricted to authorized personnel only. Any dissemination, distribution, or copying of the project details is strictly prohibited without prior approval from the project lead and the university's Office of Research Compliance.
DOI: 10.5281/zenodo.13903659
title: QCA-2024-SCC-ZP46444 R&D data

description: Project Code: QCA-2024-SCC-ZP46444.This project is classified as CONFIDENTIAL. All information, data, and results associated with this project are strictly restricted to authorized personnel only. Any dissemination, distribution, or copying of the project details is strictly prohibited without prior approval from the project lead and the university's Office of Research Compliance.
DOI: 10.3886/icpsr38523.v2
title: Federal Justice Statistics Program: Statutes for Counts of Convictions for Defendants Sentenced Under the Sentencing Reform Act, 2019
title: Version 2

description: These data contain records of statutes for each count of conviction for criminal defendants who were sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission (USSC) during fiscal year 2019. The data are one of two supplementary files that should be used in conjunction with the primary analysis file, which contains records for all defendants sentenced under the guidelines. These data can be linked to the primary analysis file using the unique identifier variable SEQ_NUM. The number of records for a defendant in the current data corresponds to the total number of counts of conviction for that defendant, and that total is recorded in the NOCOUNT variable. As an example, if a defendant has five counts of conviction (NOCOUNT=5), he or she will have five records in the current data. As it is possible for defendants to have multiple statutes applying to a single count of conviction, up to three statutes (STA1-STA3) are recorded for each count of conviction. The data were obtained from the United States Sentencing Commission's Office of Policy Analysis' (OPA) Standardized Research Data File. These data are part of a series designed by Abt Associates and the Bureau of Justice Statistics. Data and documentation were prepared by Abt Associates.
description: Datasets: 
DS1: Federal Justice Statistics Program: Statutes for Counts of Convictions for Defendants Sentenced Under the Sentencing Reform Act, 2019
description: Defendants sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission during fiscal year 2019.
DOI: 10.3886/icpsr38523
title: Federal Justice Statistics Program: Statutes for Counts of Convictions for Defendants Sentenced Under the Sentencing Reform Act, 2019
title: Archival Version

description: These data contain records of statutes for each count of conviction for criminal defendants who were sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission (USSC) during fiscal year 2019. The data are one of two supplementary files that should be used in conjunction with the primary analysis file, which contains records for all defendants sentenced under the guidelines. These data can be linked to the primary analysis file using the unique identifier variable SEQ_NUM. The number of records for a defendant in the current data corresponds to the total number of counts of conviction for that defendant, and that total is recorded in the NOCOUNT variable. As an example, if a defendant has five counts of conviction (NOCOUNT=5), he or she will have five records in the current data. As it is possible for defendants to have multiple statutes applying to a single count of conviction, up to three statutes (STA1-STA3) are recorded for each count of conviction. The data were obtained from the United States Sentencing Commission's Office of Policy Analysis' (OPA) Standardized Research Data File. These data are part of a series designed by Abt Associates and the Bureau of Justice Statistics. Data and documentation were prepared by Abt Associates.
description: Datasets: 
DS1: Federal Justice Statistics Program: Statutes for Counts of Convictions for Defendants Sentenced Under the Sentencing Reform Act, 2019
description: Defendants sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission during fiscal year 2019.
DOI: 10.15468/dl.w6gr42
title: Occurrence Download

description: A dataset containing 885 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 885 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002692-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j4m2w9
title: Occurrence Download

description: A dataset containing 301 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((8.34497 45.42705,7.83471 44.49869,8.05339 43.55531,9.51127 41.24102,13.8849 41.29582,15.63435 42.91806,12.79149 45.42705,8.34497 45.42705))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Helianthus annuus L."
 ]
}

 The dataset includes 301 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002693-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr24089.v3
title: Federal Justice Statistics Program: Defendants Sentenced Under the Sentencing Reform Act, 1999
title: Version 3

description: These data contain records of criminal defendants who were sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission (USSC) during fiscal year 1999. These data can be linked to the primary analysis file using the unique identifier variable SEQ_NUM. It is estimated that over 90 percent of felony defendants in the federal criminal justice system are sentenced pursuant to the SRA of 1984. The data were obtained from the United States Sentencing Commission's Office of Policy Analysis' (OPA) Standardized Research Data File. The Standardized Research Data File consists of variables from the Monitoring Department's database, which is limited to those defendants whose records have been furnished to the USSC by United States district courts and United States magistrates, as well as variables created by the OPA specifically for research purposes. The data include variables from the Judgement and Conviction (J and C) order submitted by the court, background and guideline information collected from the Presentencing Report (PSR), and the report on sentencing hearing in the Statement of Reasons (SOR). These data contain detailed information such as the guideline base offense level, offense level adjustments, criminal history, departure status, statement of reasons given for departure, and basic demographic information. These data are the primary analysis file and include only statute, guideline computation, and adjustment variables for the most serious offense of conviction. 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 Sentenced Under the Sentencing Reform Act, 1999
description: Defendants sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission during fiscal year 1999.
DOI: 10.15468/dl.xhk54k
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Reynoutria japonica Houtt.",
 "Geometry POLYGON((6.0662 49.5712,6.19175 49.5712,6.19175 49.64031,6.0662 49.64031,6.0662 49.5712))"
 ]
}

 The dataset includes 118 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002696-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c6bqk9
title: Occurrence Download

description: A dataset containing 94499 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Macoma balthica (Linnaeus, 1758)"
 ]
}

 The dataset includes 94499 records from 291 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002695-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.