cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2n63ll
title: CCDC 2448739: Experimental Crystal Structure Determination

description: Related Article: Thu-Van Nguyen, Mehmet Jahja, Jérôme Bayardon, Yoann Rousselin, Thanh-Tu Bui, Paul Fleurat-Lessard, Raluca Malacea-Kabbara, Evgueni Kirillov, Jean-François Carpentier, Pierre Le Gendre|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c04604
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.cc2n63mm
title: CCDC 2448740: Experimental Crystal Structure Determination

description: Related Article: Thu-Van Nguyen, Mehmet Jahja, Jérôme Bayardon, Yoann Rousselin, Thanh-Tu Bui, Paul Fleurat-Lessard, Raluca Malacea-Kabbara, Evgueni Kirillov, Jean-François Carpentier, Pierre Le Gendre|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c04604
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.cc2n63nn
title: CCDC 2448741: Experimental Crystal Structure Determination

description: Related Article: Thu-Van Nguyen, Mehmet Jahja, Jérôme Bayardon, Yoann Rousselin, Thanh-Tu Bui, Paul Fleurat-Lessard, Raluca Malacea-Kabbara, Evgueni Kirillov, Jean-François Carpentier, Pierre Le Gendre|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c04604
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.cc2n63pp
title: CCDC 2448742: Experimental Crystal Structure Determination

description: Related Article: Thu-Van Nguyen, Mehmet Jahja, Jérôme Bayardon, Yoann Rousselin, Thanh-Tu Bui, Paul Fleurat-Lessard, Raluca Malacea-Kabbara, Evgueni Kirillov, Jean-François Carpentier, Pierre Le Gendre|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c04604
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.cc2n6n5q
title: CCDC 2449253: Experimental Crystal Structure Determination

description: Related Article: Natalia Sacharczuk, Bernadetta Kuleczka, Anna Olejniczak, Andrzej Katrusiak, Marcin Podsiadło|2025|J.Phys.Chem.C|129|14196|doi:10.1021/acs.jpcc.5c03155
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.cc2n6n6r
title: CCDC 2449254: Experimental Crystal Structure Determination

description: Related Article: Natalia Sacharczuk, Bernadetta Kuleczka, Anna Olejniczak, Andrzej Katrusiak, Marcin Podsiadło|2025|J.Phys.Chem.C|129|14196|doi:10.1021/acs.jpcc.5c03155
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.cc2n6n7s
title: CCDC 2449255: Experimental Crystal Structure Determination

description: Related Article: Natalia Sacharczuk, Bernadetta Kuleczka, Anna Olejniczak, Andrzej Katrusiak, Marcin Podsiadło|2025|J.Phys.Chem.C|129|14196|doi:10.1021/acs.jpcc.5c03155
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.cc2pl0z9
title: CCDC 2489981: Experimental Crystal Structure Determination

description: Related Article: Li Zhang, Yushun Sun, Xiaofan Wu, Qi Wang, Zhigang Liu, Yunyun Yang, Zedu Huang, Fener Chen|2026|ACS Catalysis|||doi:10.1021/acscatal.5c07465
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.cc2nx985
title: CCDC 2470057: Experimental Crystal Structure Determination

description: Related Article: Raounek Rouag, Lamia Bendjeddou, Mohamed AbdEsselem Dems, Amani Hind Benahsene, Nesreddine Hadjadj, Christian Philouze and Sandrine Py|2026|J.Mol.Struct.|1357||doi:10.1016/j.molstruc.2026.145251
description: Related Article: Raounek Rouag, Amani Hind Benahsene, Mohamed AbdEsselem Dems, Nesreddine Hadjadj, Christian Philouze, Sandrine Py, Lamia Bendjeddou|2026|J.Mol.Struct.|||doi:10.1016/j.molstruc.2026.145251
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: 10.21950/uvx1yw
title: Federico-Tena World Population Historical Database : British East Africa (Kenya & Uganda)

description: Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: British East Africa (Kenya & Uganda)
description: Microsoft Excel
description: Web site: <strong>https://www.uc3m.es/investigacion/federico-tena-population</strong>



<strong>SEE MAP</strong>
DOI: 10.15468/dl.g925zx
title: Occurrence Download

description: A dataset containing 2351 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Electrona carlsbergi",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 10",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 2351 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007073-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5255/ukda-sn-858308
title: Descriptive Tables of Reviewed Studies on Employee Attitudes and Perceptions Towards Artificial Intelligence (AI) in the Workplace, 2019-2025

description: This dataset comprises structured tables summarising the characteristics of empirical studies included in a scoping review on employee attitudes and perceptions towards the application of Artificial Intelligence (AI) in workplace settings. The data include study-level information on country, sector, design, sample size, participant demographics, psychometric instruments, antecedents, mediators, moderators, and outcomes, as well as psychometric quality assessments and critical appraisals. The collection enables comparative analysis across countries, sectors, and occupational groups, supporting research on the adoption, acceptance, and impact of AI in diverse organisational contexts. The tables are intended to facilitate secondary analysis, evidence synthesis, and the development of evidence-based management strategies and interventions for AI implementation in the workplace.
DOI: 10.5517/ccdc.csd.cc2qr67y
title: CCDC 2524740: Experimental Crystal Structure Determination

description: Related Article: Dongjing Hong|2026|CSD Communication|||
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.phcn7a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.84522699999999 23.944242, 88.768394 23.938665, 88.693471 23.922073, 88.622322 23.894879, 88.556712 23.857757, 88.498265 23.811631, 88.44842300000001 23.757645, 88.40841 23.697136, 88.37920200000001 23.631603, 88.36150499999999 23.562665, 88.35573599999999 23.492023, 88.36202 23.421418, 88.380182 23.352588, 88.40975899999999 23.287222, 88.450008 23.226924, 88.499932 23.173171, 88.55829799999999 23.127278, 88.623671 23.090368, 88.694451 23.06334, 88.76890899999999 23.046856, 88.84522699999999 23.041316, 88.92154499999999 23.046856, 88.996003 23.06334, 89.066783 23.090368, 89.13215599999999 23.127278, 89.190522 23.173171, 89.24044600000001 23.226924, 89.28069499999999 23.287222, 89.310272 23.352588, 89.328434 23.421418, 89.334718 23.492023, 89.32894899999999 23.562665, 89.311252 23.631603, 89.282044 23.697136, 89.242031 23.757645, 89.192189 23.811631, 89.133742 23.857757, 89.06813200000001 23.894879, 88.996983 23.922073, 88.92206 23.938665, 88.84522699999999 23.944242))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007074-260120142942310/datasets/export for details.
DOI: 10.15468/dl.krsayd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.778778 24.055399, 88.70187900000001 24.049822, 88.626892 24.03323, 88.555682 24.006035, 88.490016 23.968914, 88.43152000000001 23.922788, 88.381636 23.868802, 88.34159 23.808293, 88.312359 23.742761, 88.294648 23.673823, 88.288876 23.603182, 88.29516599999999 23.532578, 88.313344 23.463749, 88.342947 23.398384, 88.38323099999999 23.338088, 88.43319700000001 23.284336, 88.49161100000001 23.238445, 88.557039 23.201536, 88.627878 23.174509, 88.702397 23.158025, 88.778778 23.152485, 88.855159 23.158025, 88.929678 23.174509, 89.000517 23.201536, 89.065945 23.238445, 89.124359 23.284336, 89.174325 23.338088, 89.214609 23.398384, 89.244212 23.463749, 89.26239 23.532578, 89.26868 23.603182, 89.262908 23.673823, 89.245197 23.742761, 89.21596599999999 23.808293, 89.17592 23.868802, 89.126036 23.922788, 89.06753999999999 23.968914, 89.001874 24.006035, 88.93066399999999 24.03323, 88.855677 24.049822, 88.778778 24.055399))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007076-260120142942310/datasets/export for details.
DOI: 10.15468/dl.2v2m7n
title: Occurrence Download

description: A dataset containing 174716 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-1019.0",
 {
 "or" : [
 "Geometry POLYGON((-12.23478 34.82801,29.13539 34.82801,29.13539 52.02989,-12.23478 52.02989,-12.23478 34.82801))",
 "Geometry POLYGON((-26.37415 62.35387,-10.35633 62.35387,-10.35633 67.48708,-26.37415 67.48708,-26.37415 62.35387))"
 ]
 },
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Isopoda"
 ]
}

 The dataset includes 174716 records from 295 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007034-260120142942310/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.31135285
title: <b>Strong differentiation of ancestral populations from low versus high elevation: implications for invasion biology</b>

description: <b>Premise:</b><b> </b>The differentiation of native populations at regional scales may limit evolutionary inferences derived from comparisons between native and non-native populations in common gardens, but little is known about how native populations of invasive species vary along environmental gradients at those scales.<b>Methods:</b> We used a common garden to explore differentiation in several traits between ancestral populations of <i>Centaurea solstitialis</i> growing at low versus high elevation in southwestern Anatolia, a region considered to be one of the sources that contributed to the global expansion of this species.<b>Results:</b> We found strong population differentiation for virtually all study traits. Populations from low elevation produced smaller seeds, emerged and grew faster, flowered earlier, produced smaller and more numerous capitula per plant, and had larger individuals than those from high elevation. However, seed production per individual in low elevation populations was similar to that in high elevation populations because the latter produced capitula with more seeds. Most notably, the seed type bearing a pappus was more abundant in higher than lower elevation populations, but the abundance of non-pappus seeds exhibited no differences between those populations (capitulum level) or decreased with elevation (individual level).<b>Conclusions:</b><b> </b>Our findings highlight the need to consider intraspecific variation at regional scales within native ranges, when attempting to infer evolutionary consequences based on comparisons between native and non-native populations of invasive species. Furthermore, a strong inference of evolutionary change in non-native populations may require knowledge of interpopulation variation even within regions identified as donors of those populations.
DOI: 10.6084/m9.figshare.31135285.v1
title: <b>Strong differentiation of ancestral populations from low versus high elevation: implications for invasion biology</b>

description: <b>Premise:</b><b> </b>The differentiation of native populations at regional scales may limit evolutionary inferences derived from comparisons between native and non-native populations in common gardens, but little is known about how native populations of invasive species vary along environmental gradients at those scales.<b>Methods:</b> We used a common garden to explore differentiation in several traits between ancestral populations of <i>Centaurea solstitialis</i> growing at low versus high elevation in southwestern Anatolia, a region considered to be one of the sources that contributed to the global expansion of this species.<b>Results:</b> We found strong population differentiation for virtually all study traits. Populations from low elevation produced smaller seeds, emerged and grew faster, flowered earlier, produced smaller and more numerous capitula per plant, and had larger individuals than those from high elevation. However, seed production per individual in low elevation populations was similar to that in high elevation populations because the latter produced capitula with more seeds. Most notably, the seed type bearing a pappus was more abundant in higher than lower elevation populations, but the abundance of non-pappus seeds exhibited no differences between those populations (capitulum level) or decreased with elevation (individual level).<b>Conclusions:</b><b> </b>Our findings highlight the need to consider intraspecific variation at regional scales within native ranges, when attempting to infer evolutionary consequences based on comparisons between native and non-native populations of invasive species. Furthermore, a strong inference of evolutionary change in non-native populations may require knowledge of interpopulation variation even within regions identified as donors of those populations.
DOI: 10.5281/zenodo.18349074
title: Exploring proteomic signatures in sepsis and non-infectious systemic inflammatory response syndrome

description: This repository contains fully anonymized clinical, laboratory, and proteomic data from an observational, prospective, single-center study comparing patients with sepsis and non-infectious systemic inflammatory response syndrome (NI-SIRS).

A total of 275 patients were included (139 with sepsis and 136 with NI-SIRS). Patient recruitment and sample collection were conducted between April 2016 and January 2018.

The dataset includes demographic, clinical, laboratory, and proteomic variables and is intended to support transparency, reproducibility, and reuse of the results reported in the associated scientific publication.

This dataset is released under the CC0 1.0 Public Domain Dedication. Users are kindly requested to cite the dataset and the associated publication when reusing the data.
DOI: 10.5281/zenodo.18349073
title: Exploring proteomic signatures in sepsis and non-infectious systemic inflammatory response syndrome

description: This repository contains fully anonymized clinical, laboratory, and proteomic data from an observational, prospective, single-center study comparing patients with sepsis and non-infectious systemic inflammatory response syndrome (NI-SIRS).

A total of 275 patients were included (139 with sepsis and 136 with NI-SIRS). Patient recruitment and sample collection were conducted between April 2016 and January 2018.

The dataset includes demographic, clinical, laboratory, and proteomic variables and is intended to support transparency, reproducibility, and reuse of the results reported in the associated scientific publication.

This dataset is released under the CC0 1.0 Public Domain Dedication. Users are kindly requested to cite the dataset and the associated publication when reusing the data.
DOI: 10.15468/dl.7rcfde
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.84522699999999 23.944242, 88.768394 23.938665, 88.693471 23.922073, 88.622322 23.894879, 88.556712 23.857757, 88.498265 23.811631, 88.44842300000001 23.757645, 88.40841 23.697136, 88.37920200000001 23.631603, 88.36150499999999 23.562665, 88.35573599999999 23.492023, 88.36202 23.421418, 88.380182 23.352588, 88.40975899999999 23.287222, 88.450008 23.226924, 88.499932 23.173171, 88.55829799999999 23.127278, 88.623671 23.090368, 88.694451 23.06334, 88.76890899999999 23.046856, 88.84522699999999 23.041316, 88.92154499999999 23.046856, 88.996003 23.06334, 89.066783 23.090368, 89.13215599999999 23.127278, 89.190522 23.173171, 89.24044600000001 23.226924, 89.28069499999999 23.287222, 89.310272 23.352588, 89.328434 23.421418, 89.334718 23.492023, 89.32894899999999 23.562665, 89.311252 23.631603, 89.282044 23.697136, 89.242031 23.757645, 89.192189 23.811631, 89.133742 23.857757, 89.06813200000001 23.894879, 88.996983 23.922073, 88.92206 23.938665, 88.84522699999999 23.944242))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007079-260120142942310/datasets/export for details.
DOI: 10.15468/dl.7bnw6v
title: Occurrence Download

description: A dataset containing 3567 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alytes obstetricans",
 "Country is one of (Portugal)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3567 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007080-260120142942310/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.31135345
title: Fluo data

description: Fluorescent tagging and aerobic count data from an equine hospital setting
DOI: 10.6084/m9.figshare.31135345.v1
title: Fluo data

description: Fluorescent tagging and aerobic count data from an equine hospital setting
DOI: 10.15468/dl.tvj9ma
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.778778 24.055399, 88.70187900000001 24.049822, 88.626892 24.03323, 88.555682 24.006035, 88.490016 23.968914, 88.43152000000001 23.922788, 88.381636 23.868802, 88.34159 23.808293, 88.312359 23.742761, 88.294648 23.673823, 88.288876 23.603182, 88.29516599999999 23.532578, 88.313344 23.463749, 88.342947 23.398384, 88.38323099999999 23.338088, 88.43319700000001 23.284336, 88.49161100000001 23.238445, 88.557039 23.201536, 88.627878 23.174509, 88.702397 23.158025, 88.778778 23.152485, 88.855159 23.158025, 88.929678 23.174509, 89.000517 23.201536, 89.065945 23.238445, 89.124359 23.284336, 89.174325 23.338088, 89.214609 23.398384, 89.244212 23.463749, 89.26239 23.532578, 89.26868 23.603182, 89.262908 23.673823, 89.245197 23.742761, 89.21596599999999 23.808293, 89.17592 23.868802, 89.126036 23.922788, 89.06753999999999 23.968914, 89.001874 24.006035, 88.93066399999999 24.03323, 88.855677 24.049822, 88.778778 24.055399))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007081-260120142942310/datasets/export for details.