cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13012/b2idb-6904466_v2
title: Datasets for "Analyses of expanded anchored-hybrid phylogenomic datasets support revisions to the higher classification of leafhoppers (Hemiptera: Cicadellidae)"

description: The following 5 files were used to reconstruct the phylogeny of the Membracoidea.

1. Taxon_sampling.csv: contains the sample IDs (1st column, used in the alignments) and the taxonomic information (2nd to 6th columns) for 269 samples.

2. concatenated_aa_.phy: a concatenated amino acid dataset with 52,987 amino acid positions. This dataset was used for the maximum likelihood analysis by IQ-TREE v1.6.12. Hyphens are used to represent gaps.

3. concatenated_nt.phy: a concatenated nucleotide dataset with all codon positions included (158,961 nucleotide positions). This dataset was used for the maximum likelihood analysis by IQ-TREE v1.6.12. Hyphens are used to represent gaps.

4. concatenated_12nt.phy: a concatenated nucleotide dataset with the third codon positions excluded (105,974 nucleotide positions). This dataset was used for the maximum likelihood analysis by IQ-TREE v1.6.12. Hyphens are used to represent gaps.

5. Individual_gene_alignment.zip: contains 427 FASTA files, each one represents the nucleotide alignment for a gene. Hyphens are used to represent gaps. These files were used to construct gene trees using IQ-TREE v1.6.12, followed by multispecies coalescent analysis using ASTRAL v 4.10.5.
DOI: 10.5281/zenodo.18339966
title: Processed Data from "Orthogonal Bayesian Calibration of XRF Data for Geological Applications (CHEMOLAB-D-25-01147)"

description: This is a collection of XRFS line intensity measurements and processed geological, soil, and sediment certified reference materals (CRMs) from a range of open source providers. This includes CRMs from USGS, IAG, WEPAL, NIST, IAG.

The format of the process data matches what is needed to run the analysis published in "Orthogonal Bayesian Calibration of XRF Data for Geological Applications (CHEMOLAB-D-25-01147)" by Fávaro Lopes et al 2026. The calibration codes are available on GitHub, (https://github.com/dgahle/XRFS-Bayesian-Calibration/) with version 0.1.0-preprint-submitted used to produce the results in the publication.

To appropiately reference this data, please cite Fávaro Lopes et al 2026 (DOI TBC).
DOI: 10.5281/zenodo.18339967
title: Processed Data from "Orthogonal Bayesian Calibration of XRF Data for Geological Applications (CHEMOLAB-D-25-01147)"

description: This is a collection of XRFS line intensity measurements and processed geological, soil, and sediment certified reference materals (CRMs) from a range of open source providers. This includes CRMs from USGS, IAG, WEPAL, NIST, IAG.

The format of the process data matches what is needed to run the analysis published in "Orthogonal Bayesian Calibration of XRF Data for Geological Applications (CHEMOLAB-D-25-01147)" by Fávaro Lopes et al 2026. The calibration codes are available on GitHub, (https://github.com/dgahle/XRFS-Bayesian-Calibration/) with version 0.1.0-preprint-submitted used to produce the results in the publication.

To appropiately reference this data, please cite Fávaro Lopes et al 2026 (DOI TBC).
DOI: 10.15468/dl.pgt5k4
title: Occurrence Download

description: A dataset containing 90545 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Xylosma velutina, Tabebuia chrysantha meridionalis, Ruprechtia jamesonii, Macropsychanthus malacocarpus, Dodonaea viscosa, Croton pellitus, Clusia laxiflora, Ceroxylon parvifrons, Cedrela kuelapensis, Berberis lutea, Aegiphila integrifolia, Acalypha padifolia)"
 ]
}

 The dataset includes 90545 records from 864 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004875-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18340299
title: Rising natural aerosols drive marine radiative forcing as pollution declines

description: Data presented in the main figures of the manuscript "Rising natural aerosols drive marine radiative forcing as pollution declines" by Moschos et al.

Disclaimer: Please contact the dataset creator prior to inclusion of data in any upcoming publication.
DOI: 10.15468/dl.by9gpa
title: Occurrence Download

description: A dataset containing 1026 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lutra lutra",
 "Country is Germany",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2020-2025"
 ]
}

 The dataset includes 1026 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004946-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s5gyuv
title: Occurrence Download

description: A dataset containing 530 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-122.18098 36.43994,-121.51066 36.43994,-121.51066 36.77851,-122.18098 36.77851,-122.18098 36.43994))",
 "HasCoordinate is true",
 "TaxonKey is Lupinus chamissonis",
 "Year 2000-2026"
 ]
}

 The dataset includes 530 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004944-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.522cxd
title: Occurrence Download

description: A dataset containing 546 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((1.00582 43.20788,1.08825 43.20788,1.08825 43.26961,1.00582 43.26961,1.00582 43.20788))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Insecta",
 "Year 2010-2026"
 ]
}

 The dataset includes 546 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004947-260120142942310/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.30580055
title: COMPASS TCGA Pretraining Dataset

description: This record provides preprocessed TCGA transcriptomic datasets in pickle (.pkl) format for COMPASS model pretraining. To facilitate reproducibility and efficient execution, an immune-focused subset of 2,475 genes of TCGA dataset was provided. The dataset includes both TPM matrices and patient metadata files, packaged in a directory structure identical to that used in the COMPASS training pipeline to ensure full reproducibility.The datasets were generated using the preprocessing code available at:🔗 https://github.com/mims-harvard/COMPASS-web/tree/main/TCGA_dataset_processingwith guidance and schema documentation described in the COMPASS help page:🔗 https://www.immuno-compass.com/help/index.html#datasets
DOI: 10.6084/m9.figshare.30580055.v2
title: COMPASS TCGA Dataset

description: This record provides preprocessed TCGA transcriptomic datasets in pickle (.pkl) format for COMPASS model pretraining. Two versions are included:• TCGA-2475 (subset), containing expression profiles restricted to 2475 immune-related genes curated from hallmark and immune-signature collections.• TCGA-15672, comprising 15,672 protein-coding genes representing a broader transcriptomic space.Each version includes both TPM matrices and patient metadata files, packaged in a directory structure identical to that used in the COMPASS training pipeline to ensure full reproducibility.The datasets were generated using the preprocessing code available at:🔗 https://github.com/mims-harvard/COMPASS-web/tree/main/TCGA_dataset_processingwith guidance and schema documentation described in the COMPASS help page:🔗 https://www.immuno-compass.com/help/index.html#datasets
DOI: 10.6084/m9.figshare.30580055.v3
title: COMPASS TCGA Pretraining Dataset

description: This record provides preprocessed TCGA transcriptomic datasets in pickle (.pkl) format for COMPASS model pretraining. To facilitate reproducibility and efficient execution, an immune-focused subset of 2,475 genes of TCGA dataset was provided. The dataset includes both TPM matrices and patient metadata files, packaged in a directory structure identical to that used in the COMPASS training pipeline to ensure full reproducibility.The datasets were generated using the preprocessing code available at:🔗 https://github.com/mims-harvard/COMPASS-web/tree/main/TCGA_dataset_processingwith guidance and schema documentation described in the COMPASS help page:🔗 https://www.immuno-compass.com/help/index.html#datasets
DOI: 10.5517/ccdc.csd.cc2p9s5z
title: CCDC 2482051: Experimental Crystal Structure Determination

description: Related Article: Li Xiang, Ying-Mei Li, You-Ping Tian, Wen-Hui Zhang, Xin Wei, Ying Zhou, Chuan-Wen Lei|2026|J.Org.Chem.|||doi:10.1021/acs.joc.5c02761
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.cc2pb5y5
title: CCDC 2482447: Experimental Crystal Structure Determination

description: Related Article: Yan-Jiao Lu, Li-Fen Ning, Yue Leng, Zi-Han Hu, Chun-Hua Chen, Gui-Fa Su, Dong-Liang Mo|2026|Chin.Chem.Lett.|||doi:10.1016/j.cclet.2026.112370
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.cc2pb5z6
title: CCDC 2482448: Experimental Crystal Structure Determination

description: Related Article: Yan-Jiao Lu, Li-Fen Ning, Yue Leng, Zi-Han Hu, Chun-Hua Chen, Gui-Fa Su, Dong-Liang Mo|2026|Chin.Chem.Lett.|||doi:10.1016/j.cclet.2026.112370
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.cc2pb608
title: CCDC 2482449: Experimental Crystal Structure Determination

description: Related Article: Yan-Jiao Lu, Li-Fen Ning, Yue Leng, Zi-Han Hu, Chun-Hua Chen, Gui-Fa Su, Dong-Liang Mo|2026|Chin.Chem.Lett.|||doi:10.1016/j.cclet.2026.112370
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.cc2pb619
title: CCDC 2482450: Experimental Crystal Structure Determination

description: Related Article: Yan-Jiao Lu, Li-Fen Ning, Yue Leng, Zi-Han Hu, Chun-Hua Chen, Gui-Fa Su, Dong-Liang Mo|2026|Chin.Chem.Lett.|||doi:10.1016/j.cclet.2026.112370
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.cc2pb62b
title: CCDC 2482451: Experimental Crystal Structure Determination

description: Related Article: Yan-Jiao Lu, Li-Fen Ning, Yue Leng, Zi-Han Hu, Chun-Hua Chen, Gui-Fa Su, Dong-Liang Mo|2026|Chin.Chem.Lett.|||doi:10.1016/j.cclet.2026.112370
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.cc2pbdct
title: CCDC 2482646: Experimental Crystal Structure Determination

description: Related Article: Shuba Paul, Riya Ghanti, Arnab Chakrabarty, Chandan Das, Siddik Sarkar, Sanchita Goswami|2026|J.Lumin.|292||doi:10.1016/j.jlumin.2026.121749
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.cc2pcqng
title: CCDC 2483926: Experimental Crystal Structure Determination

description: Related Article: Yi Han, Xuefei Bai, Linlin Huang, Yifan Lin, He Zhao, Die Liu, Pingshan Wang, Yiming Li|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c04894
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.cc2pd8p2
title: CCDC 2484454: Experimental Crystal Structure Determination

description: Related Article: Tingyan Zhang, Liping Jiang, Yanyan Wang, Guofang Zhang, Ziwei Gao
|2025|Adv.Funct.Mater.||e24227|doi:10.1002/adfm.202524227
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.cc2pd8q3
title: CCDC 2484455: Experimental Crystal Structure Determination

description: Related Article: Tingyan Zhang, Liping Jiang, Yanyan Wang, Guofang Zhang, Ziwei Gao
|2025|Adv.Funct.Mater.||e24227|doi:10.1002/adfm.202524227
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.cc2pd8r4
title: CCDC 2484456: Experimental Crystal Structure Determination

description: Related Article: Tingyan Zhang, Liping Jiang, Yanyan Wang, Guofang Zhang, Ziwei Gao
|2025|Adv.Funct.Mater.||e24227|doi:10.1002/adfm.202524227
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.cc2pd8s5
title: CCDC 2484457: Experimental Crystal Structure Determination

description: Related Article: Tingyan Zhang, Liping Jiang, Yanyan Wang, Guofang Zhang, Ziwei Gao
|2025|Adv.Funct.Mater.||e24227|doi:10.1002/adfm.202524227
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.cc2pd8t6
title: CCDC 2484458: Experimental Crystal Structure Determination

description: Related Article: Tingyan Zhang, Liping Jiang, Yanyan Wang, Guofang Zhang, Ziwei Gao
|2025|Adv.Funct.Mater.||e24227|doi:10.1002/adfm.202524227
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.cc2pd8v7
title: CCDC 2484459: Experimental Crystal Structure Determination

description: Related Article: Tingyan Zhang, Liping Jiang, Yanyan Wang, Guofang Zhang, Ziwei Gao
|2025|Adv.Funct.Mater.||e24227|doi:10.1002/adfm.202524227
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.cc2pdcbt
title: CCDC 2484536: Experimental Crystal Structure Determination

description: Related Article: R. Rameshbabu Priyadharsan, Sasikala Ravi, Elakkiya Sivakumar, Subramanian Karthikeyan, Mehboobali Pannipara, Abdullah G. Al-Sehemi, Dohyun Moon, Savarimuthu Philip Anthony|2026|J.Lumin.|292||doi:10.1016/j.jlumin.2026.121746
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.cc2przs7
title: CCDC 2495710: Experimental Crystal Structure Determination

description: Related Article: Sotirios Pavlidis, Eric W. Fischer, Amanda Opis-Basilio, Ayan Bera, Ana Guilherme Buzanich, María Álvarez-Sánchez, Severin Wittek, Franziska Emmerling, Kallol Ray, Michael Roemelt, Josh Abbenseth|2026|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c18955
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.cc2nyk39
title: CCDC 2471261: Experimental Crystal Structure Determination

description: Related Article: Lukas Swoboda, Jonas Klopf, Maximilian Fest, Alexandra Friedrich, Manuel Buckel, Ivo Krummenacher, Holger Braunschweig, Bernd Engels, Holger Helten|2026|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c18822
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.cc2nyk4b
title: CCDC 2471262: Experimental Crystal Structure Determination

description: Related Article: Lukas Swoboda, Jonas Klopf, Maximilian Fest, Alexandra Friedrich, Manuel Buckel, Ivo Krummenacher, Holger Braunschweig, Bernd Engels, Holger Helten|2026|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c18822
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: 10.14466/cefasdatahub.193
title: Biodiversity metric projections for zooplankton, phytoplankton, benthos and fish assemblages for the NE Atlantic 1993-2099

description: This dataset contains spatial projections (.asc files) of biodiversity metrics (alpha, beta and gamma diversity Hill number 0, plus the regional fraction of rare species) for 4 assemblages: zooplankton, phytoplankton, benthos and fish, for years 1993-2099, across the shared socioeconomic pathways (SSP) climate scenarios SSP1-2.6, SSP2-4.5, and SSP5-8.5 (Chapter 4 | Climate Change 2021: The Physical Science Basis), over the NE Atlantic region (Kristiansen et al. 2024). These projections were made in order to investigate biodiversity change across metrics and assemblages into the future, to demonstrate the shifting baseline of diversity due to climate change. There is one .asc file for each biodiversity metric, assemblage, climate scenario and year. These datasets relate to the manuscript: From plankton to fish: 21st-century redistribution of marine biodiversity and the changing role of rare species, Couce, E. & Greig, L. et al. 2026 (recently submitted).

These projections of biodiversity metrics were made in R using Bayesian Additive Regression Trees (BART, R package bartmachine, Kapelner & Bleich 2016). The environmental predictor layers that varied over time used for the machine learning method of BART were temperature, salinity and oxygen projections (Kristiansen et al. 2024), as well as the standard deviations (s.d.) of the 12 monthly averages per year within a 75km radius. The static predictors used were bathymetry (GEBCO | General Bathymetric Chart of the Oceans), shearstress (mean within a 7 year period 1975-1981) and its s.d. (again over the 7 year period) (Burchard & Bolding 2022, Bricheno et al. 2015), distance to coast, and sand, mud and gravel percentages (Wilson et al. 2018). The metrics themselves were calculated using Hill number algorithms applied in a consistent way across assemblages using the iNEXT package in R (Hsieh et al., 2016), where original observations of occurences for the assemblages are from the Continuous Plankton Recorder (Continuous Plankton Recorder: Marine Biological Association. Continuous Plankton Recorder (CPR) Survey dataset. https://doi.org/10.17031/668cf6b093d22) for phytoplankton and zooplankton, from ONEBenthic (one benthic portal) for the benthos, and Lynam and Riberio (2022) (A data product derived from Northeast Atlantic groundfish data from scientific trawl surveys 1983-2020. Cefas, UK. V1. https://doi.org/10.14466/CefasDataHub.126) for fish.
DOI: 10.5517/ccdc.csd.cc2nyk5c
title: CCDC 2471263: Experimental Crystal Structure Determination

description: Related Article: Lukas Swoboda, Jonas Klopf, Maximilian Fest, Alexandra Friedrich, Manuel Buckel, Ivo Krummenacher, Holger Braunschweig, Bernd Engels, Holger Helten|2026|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c18822
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.