cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc26jgqy
title: CCDC 2041620: Experimental Crystal Structure Determination

description: Related Article: Neel Deorukhkar, Céline Besnard, Laure Guénée, Claude Piguet|2021|Dalton Trans.|50|1206|doi:10.1039/D0DT03828H
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.cc26rr5x
title: CCDC 2048609: Experimental Crystal Structure Determination

description: Related Article: Kazuya Kubo, Kiyonori Takahashi, Shota Nakagawa, Ken-ichi Sakai, Shin-ichiro Noro, Tomoyuki Akutagawa, Takayoshi Nakamura|2021|Cryst.Growth Des.|21|2340|doi:10.1021/acs.cgd.0c01739
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.cc26s0df
title: CCDC 2048864: Experimental Crystal Structure Determination

description: Related Article: Alexandre Abhervé, Nabil Mroweh, Thomas Cauchy, Flavia Pop, HengBo Cui, Reizo Kato, Nicolas Vanthuyne, Pere Alemany, Enric Canadell, Narcis Avarvari|2021|J.Mater.Chem.C|9|4119|doi:10.1039/D1TC00439E
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.cc26s0fg
title: CCDC 2048865: Experimental Crystal Structure Determination

description: Related Article: Alexandre Abhervé, Nabil Mroweh, Thomas Cauchy, Flavia Pop, HengBo Cui, Reizo Kato, Nicolas Vanthuyne, Pere Alemany, Enric Canadell, Narcis Avarvari|2021|J.Mater.Chem.C|9|4119|doi:10.1039/D1TC00439E
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.cc26s0gh
title: CCDC 2048866: Experimental Crystal Structure Determination

description: Related Article: Alexandre Abhervé, Nabil Mroweh, Thomas Cauchy, Flavia Pop, HengBo Cui, Reizo Kato, Nicolas Vanthuyne, Pere Alemany, Enric Canadell, Narcis Avarvari|2021|J.Mater.Chem.C|9|4119|doi:10.1039/D1TC00439E
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.cc26sdt7
title: CCDC 2049249: Experimental Crystal Structure Determination

description: Related Article: Jacob Davies, Daniel Janssen-Müller, Dmitry P. Zimin, Craig S. Day, Tomoyuki Yanagi, Jonas Elfert, Ruben Martin|2021|J.Am.Chem.Soc.|143|4949|doi:10.1021/jacs.1c01916
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.cc26sdv8
title: CCDC 2049250: Experimental Crystal Structure Determination

description: Related Article: Jacob Davies, Daniel Janssen-Müller, Dmitry P. Zimin, Craig S. Day, Tomoyuki Yanagi, Jonas Elfert, Ruben Martin|2021|J.Am.Chem.Soc.|143|4949|doi:10.1021/jacs.1c01916
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.cc26szvv
title: CCDC 2049808: Experimental Crystal Structure Determination

description: Related Article: Kei Fuchigami, Michael B. Watson, Giang N. Tran, Nigam P. Rath, Liviu M. Mirica|2021|Organometallics|40|2283|doi:10.1021/acs.organomet.1c00003
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.cc26tm4t
title: CCDC 2050406: Experimental Crystal Structure Determination

description: Related Article: Takuma Kato, Ryo Tatematsu, Kenichi Nakao, Tomohiko Inomata, Tomohiro Ozawa, Hideki Masuda|2021|Inorg.Chem.|60|7670|doi:10.1021/acs.inorgchem.0c03657
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.cc26tsys
title: CCDC 2050586: Experimental Crystal Structure Determination

description: Related Article: Andryj M. Borys, Eva Hevia|2021|Organometallics|40|442|doi:10.1021/acs.organomet.0c00785
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.cc26tyww
title: CCDC 2050739: Experimental Crystal Structure Determination

description: Related Article: Andrew J. McNeece, Kate A. Jesse, Alexander S. Filatov, Joseph E. Schneider, John S. Anderson|2021|Chem.Commun.|57|3869|doi:10.1039/D0CC08236H
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.cc26tyxx
title: CCDC 2050740: Experimental Crystal Structure Determination

description: Related Article: Andrew J. McNeece, Kate A. Jesse, Alexander S. Filatov, Joseph E. Schneider, John S. Anderson|2021|Chem.Commun.|57|3869|doi:10.1039/D0CC08236H
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: 10.17632/x7chbnpbkx.1
title: Marine tetrapods recorded from beach monitoring conducted by MUCIN/CECLIMAR/UFRGS along the coastline of Itapeva State Park, Rio Grande do Sul, Brazil, between 2012 and 2023

description: This dataset brings together 359 records of tetrapods recorded from beach surveys carried out by the MUCIN/CECLIMAR/UFRGS research team, between 2012 and 2023, along the coastline of Itapeva State Park, Rio Grande do Sul, Southern Brazil.
DOI: 10.17632/54tyv92wwn.1
title: Dataset of "Site-specific fears: Negev gerbils from same points of origin share anti-predator behavior when translocated to new environments"

description: Data and code for the manuscript of same name. The html file contains code and the csv file is the data. More information can be found in the study.
DOI: 10.17632/knmd3dmpb2.1
title: Raw data for modeling M-commerce adoption among Moroccan consumers.

description: This data was collected from 424 respondents across various cities in Morocco via a self-administered questionnaire.
DOI: 10.17632/knmd3dmpb2.2
title: Raw data for modeling M-commerce adoption among Moroccan consumers.

description: This data was collected from 424 respondents across various cities in Morocco via a self-administered questionnaire.
DOI: 10.17632/wc9g6ttpxv.1
title: Neuroinflammation, Addiction, Hypercholesterolemia: Mindfulness and Multidimensional Addiction Behaviour Scale Insights

description: This article explores the complex interconnections between neuroinflammation, addiction, and hypercholesterolemia, highlighting how these conditions influence one another and impact overall health. It examines the role of mindfulness practices in mitigating the effects of neuroinflammation and addiction while also assessing the utility of the Multidimensional Addiction Behaviour Scale (MABS) in understanding these relationships. The findings suggest that neuroinflammation may exacerbate addictive behaviours, with hypercholesterolemia further complicating the neurobiological landscape. Integrating mindfulness interventions with MABS offers a promising approach to personalized treatment, emphasizing the importance of addressing both psychological and physiological aspects of addiction. Future research directions include longitudinal studies, investigation of biological mechanisms, and the effectiveness of mindfulness interventions across diverse populations.
DOI: 10.17632/wc9g6ttpxv.2
title: Neuroinflammation, Addiction, Hypercholesterolemia: Mindfulness and Multidimensional Addiction Behaviour Scale Insights

description: This article explores the complex interconnections between neuroinflammation, addiction, and hypercholesterolemia, highlighting how these conditions influence one another and impact overall health. It examines the role of mindfulness practices in mitigating the effects of neuroinflammation and addiction while also assessing the utility of the Multidimensional Addiction Behaviour Scale (MABS) in understanding these relationships. The findings suggest that neuroinflammation may exacerbate addictive behaviours, with hypercholesterolemia further complicating the neurobiological landscape. Integrating mindfulness interventions with MABS offers a promising approach to personalized treatment, emphasizing the importance of addressing both psychological and physiological aspects of addiction. Future research directions include longitudinal studies, investigation of biological mechanisms, and the effectiveness of mindfulness interventions across diverse populations.
DOI: 10.3886/icpsr24072.v1
title: Federal Justice Statistics Program: Guideline Computations for Defendants Sentenced Under the Sentencing Reform Act, 2003
title: Version 1

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 2003. 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 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: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels..
description: Datasets: 
 
 DS1: Dataset
description: Federal Justice Statistics Program Data Series
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 2003.
DOI: 10.3886/icpsr24072.v2
title: Federal Justice Statistics Program: Guideline Computations for Defendants Sentenced Under the Sentencing Reform Act, 2003
title: Version 2

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 2003. 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 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, 2003
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 2003.
DOI: 10.15468/dl.fqnbmp
title: Occurrence Download

description: A dataset containing 811 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chrysolophus pictus (Linnaeus, 1758)",
 "Year 2005-2024"
 ]
}

 The dataset includes 811 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036722-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8jsxnwvbhp.1
title: Supplemental Material for manuscript named "Comprehensive Genetic Analysis and Quantitative Trait Loci Detection of Udder Traits in Jersey Cattle"

description: Supplementary Materials-Fig. S1 and Supplementary Materials-Table S1&S2 for manuscript named "Comprehensive Genetic Analysis and Quantitative Trait Loci Detection of Udder Traits in Jersey Cattle"
DOI: 10.17632/8jsxnwvbhp.2
title: Supplemental Material for manuscript named "Genetic Analysis and Quantitative Trait Loci Detection of Udder Traits in Jersey Cattle"

description: Supplementary Materials-Fig. S1 and Supplementary Materials-Table S1&S2 for manuscript named "Comprehensive Genetic Analysis and Quantitative Trait Loci Detection of Udder Traits in Jersey Cattle"
DOI: 10.17632/8jsxnwvbhp.3
title: Supplemental Material for manuscript named "Genetic Analysis and Quantitative Trait Loci Detection of Udder Traits in Jersey Cattle"

description: Supplementary Materials-Figure S1, Figure S2, Table S1, and Table S2 for manuscript named "Comprehensive Genetic Analysis and Quantitative Trait Loci Detection of Udder Traits in Jersey Cattle"
DOI: 10.17632/8jsxnwvbhp.4
title: Supplemental Material for manuscript named "Genetic Analysis and Quantitative Trait Loci Detection of Udder Traits in Jersey Cattle"

description: Supplementary Materials-Figure S1, Figure S2, Table S1, and Table S2 for manuscript named "Comprehensive Genetic Analysis and Quantitative Trait Loci Detection of Udder Traits in Jersey Cattle"
DOI: 10.17632/45wny8zk56.1
title: 2024-10-1

description: Data for Research on the Regulation of Bone Injury Healing through the Antibacterial Action of Extracts from Dipsacus Asper, Coptis Chinensis and Their Composite.
DOI: 10.17632/sff5wvscpf.1
title: Data

description: The data of China's A-share listed companies from 2004-2023
DOI: 10.15468/dl.ctdxuk
title: Occurrence Download

description: A dataset containing 27848300 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is EOD – eBird Observation Dataset",
 "PublishingCountry is United States of America",
 "StateProvince is New Jersey"
 ]
}

 The dataset includes 27848300 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036714-240906103802322/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.27144528
title: The corpus of 80 rubrics for assessing interpreting

description: In the project, we conducted a systematic review to search for and inventorize rubrics used to assess the quality of interpreting.
DOI: 10.3886/icpsr24165.v1
title: Federal Justice Statistics Program: Defendants Sentenced Under the Sentencing Reform Act, 2003 [United States]
title: Version 1

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 2003. 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: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels..
description: Datasets: 
 
 DS1: Dataset
description: Federal Justice Statistics Program Data Series
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 2003.
DOI: 10.3886/icpsr24165.v2
title: Federal Justice Statistics Program: Defendants Sentenced Under the Sentencing Reform Act, 2003 [United States]
title: Version 2

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 2003. 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, 2003 [United States]
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 2003.