cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2jblzg
title: CCDC 2333896: Experimental Crystal Structure Determination

description: Related Article: Marvin Janssen, Thomas Frederichs, Marian Olaru, Enno Lork, Emanuel Hupf, Jens Beckmann|2024|Science|385|318|doi:10.1126/science.adp4963
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.cc2jbm0j
title: CCDC 2333897: Experimental Crystal Structure Determination

description: Related Article: Marvin Janssen, Thomas Frederichs, Marian Olaru, Enno Lork, Emanuel Hupf, Jens Beckmann|2024|Science|385|318|doi:10.1126/science.adp4963
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.cc2jbm1k
title: CCDC 2333898: Experimental Crystal Structure Determination

description: Related Article: Marvin Janssen, Thomas Frederichs, Marian Olaru, Enno Lork, Emanuel Hupf, Jens Beckmann|2024|Science|385|318|doi:10.1126/science.adp4963
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.ppyy7z
title: Occurrence Download

description: A dataset containing 17905 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opuntia ficus-indica (L.) Mill.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 17905 records from 267 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035418-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2jbm2l
title: CCDC 2333899: Experimental Crystal Structure Determination

description: Related Article: Marvin Janssen, Thomas Frederichs, Marian Olaru, Enno Lork, Emanuel Hupf, Jens Beckmann|2024|Science|385|318|doi:10.1126/science.adp4963
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.cc2jfvg9
title: CCDC 2337011: Experimental Crystal Structure Determination

description: Related Article: Ahmet Oral Sarıoğlu, Bahar Sürmelihindi, Hatice Gamze Sogukomerogullari, Pınar Yumrutaş, Mehmet Hakan Morcali, Muhammet Kose|2024|Polyhedron|261|117129|doi:10.1016/j.poly.2024.117129
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.cc2jn8l2
title: CCDC 2343184: Experimental Crystal Structure Determination

description: Related Article: Alokananda Chanda, Sanjay K. Mandal|2024|Inorg.Chem.|63|13367|doi:10.1021/acs.inorgchem.4c01225
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.cc2jn8m3
title: CCDC 2343185: Experimental Crystal Structure Determination

description: Related Article: Alokananda Chanda, Sanjay K. Mandal|2024|Inorg.Chem.|63|13367|doi:10.1021/acs.inorgchem.4c01225
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.cc2jp3cq
title: CCDC 2343983: Experimental Crystal Structure Determination

description: Related Article: Rebecca A. Green, Jeishla L. Meléndez Matos, Eric M. Simmons, Bahar Inankur, Brian L. He, Jennifer Lott, Shasha Zhang, Sergei Kolotuchin, Damián Reyes-Luyanda, Peng Geng, Jason M. Stevens, Jeffrey Nye, Michelle Kubin, Sha Lou, Albert J. DelMonte, Ling Zhang, Neil A. Strotman|2024|Org.Process Res.Dev.|28|2806|doi:10.1021/acs.oprd.4c00138
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.cc2jp1dp
title: CCDC 2343922: Experimental Crystal Structure Determination

description: Related Article: Ryota Takano, Ryoko Tanaka, Kayo Nakamura, Hidetsugu Tabata, Tetsuta Oshitari, Hideaki Natsugari, Hideyo Takahashi|2024|Bioorg.Med.Chem.Lett.|110|129854|doi:10.1016/j.bmcl.2024.129854
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.cc2jp5fv
title: CCDC 2344047: Experimental Crystal Structure Determination

description: Related Article: Yue Wang, Jiang-Ning Yu, Yang Wang, Feng Shi|2024|Org.Lett.|26|6041|doi:10.1021/acs.orglett.4c02167
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.cc2g3bnl
title: CCDC 2267329: Experimental Crystal Structure Determination

description: Related Article: Zheng-Zheng Liu, Sheng-Li Huang, Guo-Yu Yang|2024|Inorg.Chem.|63|12803|doi:10.1021/acs.inorgchem.4c01228
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.txll4h
title: Occurrence Download

description: A dataset containing 15192 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bomarea Mirb."
 ]
}

 The dataset includes 15192 records from 300 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006166-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wvzz6hbttg.1
title: Seurat objects for multiome analysis of neuroblastoma cell lines - 1/4

description: RDS files containing processed Seurat objects for multiome analysis of neuroblastoma cell lines. File names reflect the cell line.
DOI: 10.17632/29g4826npf.1
title: Seurat objects for multiome analysis of neuroblastoma cell lines - 2/4

description: RDS files containing processed Seurat objects for multiome analysis of neuroblastoma cell lines. File names reflect the cell line.
DOI: 10.17632/fz3yhx3trc.1
title: Dataset for "The impact of behavioral and team characteristics on football club fans' consumption in Brazil"

description: Repository of supplementary research files for " The impact of behavioral and team characteristics on football club fans' consumption in Brazil ". There are four files available: 1) the original article published in PODIUM Sport, Leisure and Tourism Review in Portuguese; 2) the article translated into English for more effective dissemination; 3) raw database in .csv format; and 4) structured and organized database in .sav format.

The variables are operationalized in sections 3.2 and 3.3 of the article. The coding of the database may be found in the article's Appendix, which also contains the research questionnaire.


Abstract of article:

Objective of the study: The purpose of this study was to see how team image, behavioral loyalty, psychological commitment, and team qualities affect the consumption behavior of football club fans.
Methodology/Approach: The suggested model was tested using PLS-SEM, with the goal of maximizing the explanation of the variance of the endogenous variable of interest. A structured questionnaire distributed to Brazilian fans received 330 responses.
Originality/Relevance: Based on six artifacts from the questionnaire, an original concept for the building of the composite construct "Consumer Fan" was selected. Based on prior findings, this is the first study to examine fan consumption behavior using team image, behavioral loyalty, psychological commitment, fan characteristics, and team attributes.
Main results: The findings revealed that psychological commitment, behavioral loyalty, team image, football practice, income, team success, and the origins of the relationship with the favorite team all had a substantial positive impact on the consumption behavior of Brazilian football club fans.
Theoretical/methodological contributions: The study's key contribution is the unique combination of diverse conceptions and sociodemographic and behavioral factors to measure fan consumption potential, filling a crucial theoretical gap. It is also worth mentioning that this study focuses on the fan as a consumer, which has not before been studied in the literature.
Contributions to management: This research suggests techniques for managers to improve fans' consumption potential. The necessity of creating a fan's psychological connection to the team is emphasized.
DOI: 10.15468/dl.qoly5i
title: Occurrence Download

description: A dataset containing 9026 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Bomarea Mirb.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9026 records from 221 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006171-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xvzsd8gk63.1
title: Data for "Asset diversification, financial well-being, quality of life, and mental health: a study in Brazil

description: Applied questionnaire (english and portuguese version) and database originated from the research published in the DOI article: 10.1590/1808-057x20221470.en, available at: https://www.revistas.usp.br/rcf/article/view/204242.

Database source article abstract

This study sought to investigate the relationship between diversification, financial well-being (FWB), quality of life (QoL), and mental health, and to see how FWB mediates this relationship, considering a sample of 1,047 Brazilian investors registered with the Brazilian Securities and Exchange Commission (Comissão de Valores Mobiliários [CVM]). In the national and international literature, no studies were found that sought to identify the mediating role of FWB between diversification, QoL, and mental health, as proposed in this study. This research may help brokers and financial institutions, allowing a new look at the profile of investors and their portfolios. It also widens the perspectives on studies of personal finance and mental health in Brazil and around the world. Mediation was conducted through structural equation modeling estimated by robust diagonally weighted least squares (RDWLS). ‘Asset classes’ was adopted as a proxy for diversification. For QoL,
the World Health Organization Quality of Life (WHOQOL-Bref) scale was adopted, while the Beck inventories were used to measure mental health (depression and anxiety). For FWB, the measure of the Brazilian Credit Protection Service (Serviço de Proteção ao Crédito [SPC Brasil]) was used. The results showed a strong relationship between the FWB mediation between the diversification degree (asset classes) and the QoL and mental health scales (anxiety and depression). It was found that the diversification level is related to increased levels of anxiety and depression and decreased QoL in the short term, but when mediated by FWB, it decreases the anxiety and depression levels and increases QoL.
DOI: 10.17632/xvzsd8gk63.2
title: Data for "Asset diversification, financial well-being, quality of life, and mental health: a study in Brazil" published by Revista de Contabilidade & Finanças R

description: Applied questionnaire (english and portuguese version) and database originated from the research published in the DOI article: 10.1590/1808-057x20221470.en, available at: https://www.revistas.usp.br/rcf/article/view/204242.

Database source article abstract

This study sought to investigate the relationship between diversification, financial well-being (FWB), quality of life (QoL), and mental health, and to see how FWB mediates this relationship, considering a sample of 1,047 Brazilian investors registered with the Brazilian Securities and Exchange Commission (Comissão de Valores Mobiliários [CVM]). In the national and international literature, no studies were found that sought to identify the mediating role of FWB between diversification, QoL, and mental health, as proposed in this study. This research may help brokers and financial institutions, allowing a new look at the profile of investors and their portfolios. It also widens the perspectives on studies of personal finance and mental health in Brazil and around the world. Mediation was conducted through structural equation modeling estimated by robust diagonally weighted least squares (RDWLS). ‘Asset classes’ was adopted as a proxy for diversification. For QoL,
the World Health Organization Quality of Life (WHOQOL-Bref) scale was adopted, while the Beck inventories were used to measure mental health (depression and anxiety). For FWB, the measure of the Brazilian Credit Protection Service (Serviço de Proteção ao Crédito [SPC Brasil]) was used. The results showed a strong relationship between the FWB mediation between the diversification degree (asset classes) and the QoL and mental health scales (anxiety and depression). It was found that the diversification level is related to increased levels of anxiety and depression and decreased QoL in the short term, but when mediated by FWB, it decreases the anxiety and depression levels and increases QoL.
DOI: 10.15468/dl.epauh5
title: Occurrence Download

description: A dataset containing 932360 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Impatiens L."
 ]
}

 The dataset includes 932360 records from 2284 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035414-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2q8rpp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Habenaria schlechteri Kraenzl.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.4784 -23.4046,15.4933 -24.0715,20.509 -24.0715,20.509 -24.0455,20.0952 -23.5072,19.9968 -23.017,19.7843 -22.5405,19.1988 -21.8785,18.5972 -21.5447,17.8859 -21.3993,17.1626 -21.4805,16.5332 -21.7596,16.1257 -22.0882,15.8234 -22.4662,15.606 -22.8993,15.4784 -23.4046))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051457-250525065834625/datasets/export for details.
DOI: 10.15468/dl.vnzypw
title: Occurrence Download

description: A dataset containing 377888 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is India",
 "OccurrenceStatus is Present",
 "Year 2024-2025"
 ]
}

 The dataset includes 377888 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051439-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zfdhur
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Habenaria schlechteri Kraenzl.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -28.5786,20.509 -28.5786,20.509 -32.9007,25.5395 -32.9007,25.5395 -28.5786))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051458-250525065834625/datasets/export for details.
DOI: 10.18150/cs0ekv
title: Data for publication: The role of single copper atoms in enhancing the photocatalytic activity of carbon nitride for selective oxidation

description: The raw data for the publication accepted in Materials Chemistry Frontiers
DOI: 10.15468/dl.6wkxwy
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Caledonia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ixora margaretae (N.Hallé) Mouly & B.Bremer"
 ]
}

 The dataset includes 74 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051459-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15683616
title: South American Summer Monsoon (SASM) Index Reconstruction (1850–2000) Using Bayesian Optimal Information Extraction

description: This dataset provides an ensemble reconstruction of the South American Summer Monsoon (SASM) index from 1850 to 2000. The SASM index is defined as the area-weighted mean of December–February (DJF) precipitation over the core monsoon domain (5°N–15°S, 50°W–80°W), a region characterized by peak austral summer rainfall. To extend the index prior to the instrumental era, we applied a Bayesian Optimal Information Extraction (OIE) approach that integrates multiple annually resolved, high-resolution proxy records.

The reconstruction assimilates 94 proxy time series, including oxygen isotope records from ice cores and tree rings, historical documentary sources, tree-ring width series, long-term precipitation station data, Amazon River water-level observations, and ice accumulation records. Proxies were selected based on statistically significant correlations with the instrumental SASM index and consistent data availability from 1850 onward.

The OIE method combines elements of local regression, Bayesian inference, and Generalized Likelihood Uncertainty Estimation (GLUE), producing 1,500 ensemble members that reflect uncertainties in proxy selection and calibration period. Ensemble weighting is based on cross-validated root-mean-square error (RMSE), enabling robust reconstruction of both high- and low-frequency variability in the monsoon system.

This dataset includes the full ensemble as a NetCDF file (sasmi variable with dimensions [series, year]), as well as summary statistics such as the ensemble mean. It is intended to support research on past hydroclimate variability, monsoon dynamics, and model-data comparison.
DOI: 10.5281/zenodo.15683617
title: South American Summer Monsoon (SASM) Index Reconstruction (1850–2000) Using Bayesian Optimal Information Extraction

description: This dataset provides an ensemble reconstruction of the South American Summer Monsoon (SASM) index from 1850 to 2000. The SASM index is defined as the area-weighted mean of December–February (DJF) precipitation over the core monsoon domain (5°N–15°S, 50°W–80°W), a region characterized by peak austral summer rainfall. To extend the index prior to the instrumental era, we applied a Bayesian Optimal Information Extraction (OIE) approach that integrates multiple annually resolved, high-resolution proxy records.

The reconstruction assimilates 94 proxy time series, including oxygen isotope records from ice cores and tree rings, historical documentary sources, tree-ring width series, long-term precipitation station data, Amazon River water-level observations, and ice accumulation records. Proxies were selected based on statistically significant correlations with the instrumental SASM index and consistent data availability from 1850 onward.

The OIE method combines elements of local regression, Bayesian inference, and Generalized Likelihood Uncertainty Estimation (GLUE), producing 1,500 ensemble members that reflect uncertainties in proxy selection and calibration period. Ensemble weighting is based on cross-validated root-mean-square error (RMSE), enabling robust reconstruction of both high- and low-frequency variability in the monsoon system.

This dataset includes the full ensemble as a NetCDF file (sasmi variable with dimensions [series, year]), as well as summary statistics such as the ensemble mean. It is intended to support research on past hydroclimate variability, monsoon dynamics, and model-data comparison.
DOI: 10.15468/dl.e4p474
title: Occurrence Download

description: A dataset containing 31444 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Betula fruticosa Pall., Pinus pumila (Pall.) Regel, Eriophorum scheuchzeri Hoppe, Larix sibirica Ledeb., Larix czekanowskii Szafer)",
 "Geometry POLYGON ((-180 45.53015, 180 45.53015, 180 83.62313, -180 83.62313, -180 45.53015))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "CoordinateUncertaintyInMeters is less than or equal to 50000"
 ]
}

 The dataset includes 31444 records from 171 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051460-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.