cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr30797.v1
title: Federal Justice Statistics Program: Statutes for Counts of Convictions for Defendants Sentenced Under the Sentencing Reform Act, 2009
title: Version 1

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 2009. 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 USSCIDN. 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 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: Statutes for Counts of Convictions for Defendants Sentenced Under the Sentencing Reform Act, 2009
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 2009.
DOI: 10.5281/zenodo.13862103
title: WP3/3.1/KUL/COMET_HF_PWK1_30_9_2024
title: WP 3.1 simulation data from KUL and its comparison with data with UoS and IRS

description: The folder contains the tecplot layouts, simulation data and test cases used by KU Leuven to generate data for WP 3.1 report. Data from UoS and IRS is also inside their respective folders.
DOI: 10.5281/zenodo.13862104
title: WP3/3.1/KUL/COMET_HF_PWK1_30_9_2024
title: WP 3.1 simulation data from KUL and its comparison with data with UoS and IRS

description: The folder contains the tecplot layouts, simulation data and test cases used by KU Leuven to generate data for WP 3.1 report. Data from UoS and IRS is also inside their respective folders.
DOI: 10.15468/dl.dhamxj
title: Occurrence Download

description: A dataset containing 1497 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "DatasetKey is UK Butterfly Monitoring Scheme (UKBMS)",
 "DistanceFromCentroidInMeters 0.0-5000.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2019-2024"
 ]
}

 The dataset includes 1497 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035564-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25907458
title: Tabla 3. Metodología de investigación de los estudios seleccionados .xlsx

description: Se expone en esta tabla la metodología de investigación de los estudios seleccionados. En la primera columna los autores. En la segunda, se expone el objeto evaluado. En la tercera, el estándar o referente conceptual que sostiene el análisis. En la cuarta, el instrumento de evaluación. En la quinta, las técnicas de fiabilidad y validez del instrumento de evaluación. En la sexta, el agente de evaluación.
DOI: 10.6084/m9.figshare.25907458.v1
title: Tabla 3. Metodología de investigación de los estudios seleccionados .xlsx

description: Se expone en esta tabla la metodología de investigación de los estudios seleccionados. En la primera columna los autores. En la segunda, se expone el objeto evaluado. En la tercera, el estándar o referente conceptual que sostiene el análisis. En la cuarta, el instrumento de evaluación. En la quinta, las técnicas de fiabilidad y validez del instrumento de evaluación. En la sexta, el agente de evaluación.
DOI: 10.6084/m9.figshare.25907458.v2
title: Tabla 3. Metodología de investigación de los estudios seleccionados .xlsx

description: Se expone en esta tabla la metodología de investigación de los estudios seleccionados. En la primera columna los autores. En la segunda, se expone el objeto evaluado. En la tercera, el estándar o referente conceptual que sostiene el análisis. En la cuarta, el instrumento de evaluación. En la quinta, las técnicas de fiabilidad y validez del instrumento de evaluación. En la sexta, el agente de evaluación.
DOI: 10.3886/icpsr34339.v1
title: Federal Justice Statistics Program: Statutes for Counts of Convictions for Defendants Sentenced Under the Sentencing Reform Act, 2010
title: Version 1

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 2010. 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 USSCIDN. 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 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: Statutes for Counts of Convictions for Defendants Sentenced Under the Sentencing Reform Act, 2010
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 2010.
DOI: 10.15468/dl.gaq49v
title: Occurrence Download

description: A dataset containing 874 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Augastes lumachella (R.Lesson, 1839)"
 ]
}

 The dataset includes 874 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035565-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13860806
title: WP3/3.3/KUL/COMET_HF_PWK1_30_9_2024
title: WP 3.3 simulation data from KUL

description: The folder contains the tecplot layouts, simulation data and test cases used by KU Leuven to generate data for WP 3.3 report.
DOI: 10.5281/zenodo.13860807
title: WP3/3.3/KUL/COMET_HF_PWK1_30_9_2024
title: WP 3.3 simulation data from KUL

description: The folder contains the tecplot layouts, simulation data and test cases used by KU Leuven to generate data for WP 3.3 report.
DOI: 10.15468/dl.evq3x7
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "InstitutionCode is MNHN",
 "TaxonKey is Campanula ramosissima Sm."
 ]
}

 The dataset includes 91 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035567-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27135447
title: Table S1 Relative abundances of bacterial and fungal taxa at the phyla level.xlsx

description: Supplementary Information
DOI: 10.6084/m9.figshare.27135447.v1
title: Table S1 Relative abundances of bacterial and fungal taxa at the phyla level.xlsx

description: Supplementary Information
DOI: 10.15468/dl.utyesc
title: Occurrence Download

description: A dataset listing the 4026568 species recorded in GBIF matching the query:
{ }

 The dataset's 4026568 records were derived from 76599 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035561-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27135540
title: bundesliga.csv

description: Bundesliga data for 10 years
DOI: 10.15468/dl.x9h9xq
title: Occurrence Download

description: A dataset containing 6298 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pittosporum eugenioides"
 ]
}

 The dataset includes 6298 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044089-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rmg628
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia heterophylla",
 "Country is Chad",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044091-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hxq9n2
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia heterophylla",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044092-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26179/dv6c-k223
title: Temperature logger data from sediments and low water masses collected on the Denman Marine Voyage of the RSV Nuyina, 2025
DOI: 10.15468/dl.9fy4u2
title: Occurrence Download

description: A dataset containing 34062 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "Country is Australia",
 "StateProvince is Queensland",
 "TaxonKey is Limnodynastes peronii"
 ]
}

 The dataset includes 34062 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044090-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ss4eq6
title: Occurrence Download

description: A dataset containing 71921 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Macao, Chinese Taipei)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1975",
 "Year is less than or equal to 1975"
 ]
}

 The dataset includes 71921 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044042-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bbk7mr
title: Occurrence Download

description: A dataset containing 504 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Womersleyella setacea",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((40.81373 29.26705, 40.81373 50.94, -6.6 50.94, -6.6 29.26705, 40.81373 29.26705))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 504 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044094-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t4f23j
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gastrotheca nicefori"
 ]
}

 The dataset includes 138 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044095-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.djqu4w
title: Occurrence Download

description: A dataset containing 11922 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carex pensylvanica"
 ]
}

 The dataset includes 11922 records from 234 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044096-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17082239
title: Roe v. Wade tweets

description: This dataset contains 3,501,447 tweet IDs, hashtags, and user metadata related to the hashtags #roevwade, #roevswade, #DobbsvJackson, #dobbsdecision, #AbortionBan, and #AbortionBan.Tweets were collected in September 2022 using the Twitter API v2 (Academic Research access) with Documenting the Now’s twarc. Derivative data available here, IDs, hashtags and user metadata were generated with twut.

twarc2 search --archive \  --start-time 2022-05-01T00:00:00 \  '(#roevwade) OR (#roevswade) OR (#DobbsvJackson) OR (#dobbsdecision) OR (#Dobbs) OR (#AbortionBan)'
DOI: 10.5281/zenodo.17082238
title: Roe v. Wade tweets

description: This dataset contains 3,501,447 tweet IDs, hashtags, and user metadata related to the hashtags #roevwade, #roevswade, #DobbsvJackson, #dobbsdecision, #AbortionBan, and #AbortionBan.Tweets were collected in September 2022 using the Twitter API v2 (Academic Research access) with Documenting the Now’s twarc. Derivative data available here, IDs, hashtags and user metadata were generated with twut.

twarc2 search --archive \  --start-time 2022-05-01T00:00:00 \  '(#roevwade) OR (#roevswade) OR (#DobbsvJackson) OR (#dobbsdecision) OR (#Dobbs) OR (#AbortionBan)'
DOI: 10.25442/hku.29885987
title: Supporting data for " <b>Decoding clonal heterogeneity through single-cell targeted DNA sequencing in acute myeloid leukemia</b>"

description: Leukemia is a complex hematological malignancy which has diverse subtypes with distinct molecular and cytogenetic features, notably acute myeloid leukemia (AML). This study investigates the clonal heterogeneity and evolutionary dynamics of AML, with an emphasis on chromosomal abnormalities such as trisomy. We developed and applied novel machine learning algorithms and computational framework to accurately detect large-scale copy number variations and construct precise clonal evolution trees by integrating mutation and chromosomal abnormalities data in single cell DNA sequencing. Utilizing bulk and single-cell DNA sequencing, combined with these innovative methods, we analyze mutation patterns, copy number variations, and their interactions at both bulk and single cell levels. Our results reveal significant associations between mutations particularly in genes like ASXL1 and trisomy, suggesting a role for genetic mutations in promoting chromosomal instability. Phylogenetic reconstructions and clonal evolution analyses demonstrate that specific mutational combinations often precede trisomy events, supporting their contributory role in chromosomal abnormalities. Furthermore, chromosomal instability simulations incorporating mutation driven missegregation rates highlight how genetic alterations can facilitate aneuploidy and disease progression. These findings deepen our understanding of AML heterogeneity, underscore the impact of molecular abnormalities on chromosomal stability, and provide a new quantitative framework for tumor evolution, with important implications for targeted therapeutic strategies.
DOI: 10.25442/hku.29885987.v1
title: Supporting data for " <b>Decoding clonal heterogeneity through single-cell targeted DNA sequencing in acute myeloid leukemia</b>"

description: Leukemia is a complex hematological malignancy which has diverse subtypes with distinct molecular and cytogenetic features, notably acute myeloid leukemia (AML). This study investigates the clonal heterogeneity and evolutionary dynamics of AML, with an emphasis on chromosomal abnormalities such as trisomy. We developed and applied novel machine learning algorithms and computational framework to accurately detect large-scale copy number variations and construct precise clonal evolution trees by integrating mutation and chromosomal abnormalities data in single cell DNA sequencing. Utilizing bulk and single-cell DNA sequencing, combined with these innovative methods, we analyze mutation patterns, copy number variations, and their interactions at both bulk and single cell levels. Our results reveal significant associations between mutations particularly in genes like ASXL1 and trisomy, suggesting a role for genetic mutations in promoting chromosomal instability. Phylogenetic reconstructions and clonal evolution analyses demonstrate that specific mutational combinations often precede trisomy events, supporting their contributory role in chromosomal abnormalities. Furthermore, chromosomal instability simulations incorporating mutation driven missegregation rates highlight how genetic alterations can facilitate aneuploidy and disease progression. These findings deepen our understanding of AML heterogeneity, underscore the impact of molecular abnormalities on chromosomal stability, and provide a new quantitative framework for tumor evolution, with important implications for targeted therapeutic strategies.
DOI: 10.25442/hku.29945384
title: Supporting data for “A nurse-led instant message-delivered dyadic intervention to reduce sodium intake in stroke survivors with hypertension A randomised controlled trial”

description: <b>A. Filename</b>: <code>Data file_Chapter 2.xlsx</code><b>Short description</b>:<br>Excessive sodium intake (≥2 grams of sodium or equivalent to ≥5 grams of salt intake daily is the leading dietary risk factor of hypertension and cardiovascular disease. However, the effects of technology-supported behavior change interventions for reducing sodium intake on health outcomes in adults are inconclusive. Effective intervention characteristics associated with sodium reduction have yet to be identied. This dataset contains meta-analysis data to evaluate the effects of technology-supported behavior change interventions for reducing sodium intake on sodium reduction, systolic blood pressure, and diastolic blood pressure and help explore effective intervention characteristics associated with sodium reduction. <b>B. Filename</b>: <code>Data file_Chapter 3.xlsx</code><b>Short description</b>:<br>Patients with cardiovascular disease often rely on informal caregivers to promote healthy dietary intake and compliance. Dyadic interventions show potential for enhancing patients' healthy diets, yet the effectiveness remains unexplored. This dataset included outcome data extracted from the included studies in this meta analysis across diet-­related behavioral, health, cognitive, and psychological outcomes. <br>
DOI: 10.25442/hku.29945384.v1
title: Supporting data for “A nurse-led instant message-delivered dyadic intervention to reduce sodium intake in stroke survivors with hypertension A randomised controlled trial”

description: <b>A. Filename</b>: <code>Data file_Chapter 2.xlsx</code><b>Short description</b>:<br>Excessive sodium intake (≥2 grams of sodium or equivalent to ≥5 grams of salt intake daily is the leading dietary risk factor of hypertension and cardiovascular disease. However, the effects of technology-supported behavior change interventions for reducing sodium intake on health outcomes in adults are inconclusive. Effective intervention characteristics associated with sodium reduction have yet to be identied. This dataset contains meta-analysis data to evaluate the effects of technology-supported behavior change interventions for reducing sodium intake on sodium reduction, systolic blood pressure, and diastolic blood pressure and help explore effective intervention characteristics associated with sodium reduction. <b>B. Filename</b>: <code>Data file_Chapter 3.xlsx</code><b>Short description</b>:<br>Patients with cardiovascular disease often rely on informal caregivers to promote healthy dietary intake and compliance. Dyadic interventions show potential for enhancing patients' healthy diets, yet the effectiveness remains unexplored. This dataset included outcome data extracted from the included studies in this meta analysis across diet-­related behavioral, health, cognitive, and psychological outcomes. <br>
DOI: 10.25442/hku.29946437.v1
title: Supporting data for Integrated Life Cycle Evaluation of Alternative Water Sources for Sustainable Urban Water Management in Coastal Cities

description: This dataset was generated supporting PhD study on sustainable urban water management in Hong Kong using an integrated framework. It provides three groups of data that together support integrated life cycle and risk assessments of urban water systems. The Life Cycle Inventory dataset compiles system-level inputs and outputs across major processes, including water abstraction, treatment, distribution, wastewater collection, and sludge management. The Pathogen Level datasets report measured and literature-derived concentrations of key microbial indicators in raw sewage and in coastal seawater, which are relevant to assessing human health risks through water reuse applications. Each dataset is provided in CSV for ease of use and is accompanied by a dedicated data dictionary that explains variable definitions and coding. Together, these data provide a foundation for conducting life cycle assessment (LCA), life cycle costing (LCC), and quantitative microbial risk assessment (QMRA) of Hong Kong city-level water systems.
DOI: 10.25442/hku.29946437
title: Supporting data for Integrated Life Cycle Evaluation of Alternative Water Sources for Sustainable Urban Water Management in Coastal Cities

description: This dataset was generated supporting PhD study on sustainable urban water management in Hong Kong using an integrated framework. It provides three groups of data that together support integrated life cycle and risk assessments of urban water systems. The Life Cycle Inventory dataset compiles system-level inputs and outputs across major processes, including water abstraction, treatment, distribution, wastewater collection, and sludge management. The Pathogen Level datasets report measured and literature-derived concentrations of key microbial indicators in raw sewage and in coastal seawater, which are relevant to assessing human health risks through water reuse applications. Each dataset is provided in CSV for ease of use and is accompanied by a dedicated data dictionary that explains variable definitions and coding. Together, these data provide a foundation for conducting life cycle assessment (LCA), life cycle costing (LCC), and quantitative microbial risk assessment (QMRA) of Hong Kong city-level water systems.