cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.60893/figshare.jcp.29431175
title: Supplement Number 2

description: .csv file with the quartz normalized SFG spectrum and Chi_yyz square spectrum dataset
DOI: 10.60893/figshare.jcp.29431175.v1
title: Supplement Number 2

description: .csv file with the quartz normalized SFG spectrum and Chi_yyz square spectrum dataset
DOI: 10.60893/figshare.jcp.29323163
title: Supplemental Data and Figures

description: Critical points of the H(r), optimized geometries of the investigated species, and supplementary figures.
DOI: 10.60893/figshare.jcp.29323163.v1
title: Supplemental Data and Figures

description: Critical points of the H(r), optimized geometries of the investigated species, and supplementary figures.
DOI: 10.15468/dl.5puyjd
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bromopsis erecta transylvanicus, Bromopsis gordjaginii, Bromopsis microchaeta, Bromopsis permixta, Bromopsis stenophylla, Bromopsis transsilvanica, Bromopsis zangezura, Bromus agrestis, Bromus angustifolius, Bromus angustifolius)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 26 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017403-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.byem77
title: Occurrence Download

description: A dataset containing 43379 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sisymbrium altissimum"
 ]
}

 The dataset includes 43379 records from 685 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017395-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ehz84w
title: Occurrence Download

description: A dataset containing 310 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Geothlypis trichas)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 310 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017405-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kzbfwn
title: Occurrence Download

description: A dataset containing 3354298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Zoysia sinica, Zoysia macrostachya, Zizania latifolia, Xylocarpus granatum, Wendlandia uvariifolia, Vitis pseudoreticulata, Vitis piasezkii, Vitex trifolia, Vitex rotundifolia, Viola patrinii, Viola moupinensis, Viola inconspicua, Viola, Viola acuminata, Vicia venosa, Vicia sinogigantea, Vicia sativa nigra, Vicia japonica, Vicia hirsuta, Vicia cracca)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1949"
 ]
}

 The dataset includes 3354298 records from 4613 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017370-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8wey6v
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009472-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1380523.10fu
title: SH1380523.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1380524.10fu
title: SH1380524.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1380525.10fu
title: SH1380525.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1380526.10fu
title: SH1380526.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1380531.10fu
title: SH1380531.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1380532.10fu
title: SH1380532.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1380534.10fu
title: SH1380534.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.ztuuz7
title: Occurrence Download

description: A dataset containing 257 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Côte d’Ivoire",
 "TaxonKey is Alchornea cordifolia"
 ]
}

 The dataset includes 257 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024011-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.raeya2
title: Occurrence Download

description: A dataset containing 538 records in GBIF matching the query:
SELECT
 scientificname,
 specieskey,
 genuskey,
 "year",
 "month",
 COUNT(*)
FROM
 occurrence
WHERE
 occurrence.countrycode = 'ES'
 AND CAST(occurrence.genuskey AS INTEGER) = 2858200
 AND occurrence."year" &gt;= 2020
 AND occurrence."year" &lt;= 2026
 AND occurrence."month" IN (1, 2, 3)
GROUP BY
 occurrence.scientificname,
 occurrence.specieskey,
 occurrence.genuskey,
 occurrence."year",
 occurrence."month"

 The dataset's 538 records were derived from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023997-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f7ylwk
title: Occurrence Download

description: A dataset containing 1913319843 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 1913319843 records from 18028 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003631-171025204727650/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.28829195
title: <b>Solidarity Capital in Crisis: Indonesian Graduates’ Education-to-Work Transitions During COVID-19</b>

description: This study investigates how Indonesian polytechnic graduates navigated the transition from education to employment during the COVID-19 pandemic, with a focus on the capitals they mobilized. Using Bourdieu’s theory of practice, we examine the activation of cultural, social, and digital capital in response to disrupted labor market conditions. Findings from semi-structured interviews with 41 graduates reveal that solidarity capital—a context-specific subset of social capital grounded in mutual support and community ties—was the most prominently activated and impactful. While digital platforms and competencies facilitated some transitions, their use was constrained by digital inequality. In contrast, solidarity capital provided emotional, informational, and practical support across socioeconomic backgrounds, helping graduates access job opportunities in the absence of strong institutional mechanisms. These results contribute to career theory by highlighting the role of culturally embedded, informal support networks in non-Western contexts and call for more inclusive career assessment and intervention strategies.<br>
DOI: 10.6084/m9.figshare.28829195.v1
title: <b>Solidarity Capital in Crisis: Indonesian Graduates’ Education-to-Work Transitions During COVID-19</b>

description: This study investigates how Indonesian polytechnic graduates navigated the transition from education to employment during the COVID-19 pandemic, with a focus on the capitals they mobilized. Using Bourdieu’s theory of practice, we examine the activation of cultural, social, and digital capital in response to disrupted labor market conditions. Findings from semi-structured interviews with 41 graduates reveal that solidarity capital—a context-specific subset of social capital grounded in mutual support and community ties—was the most prominently activated and impactful. While digital platforms and competencies facilitated some transitions, their use was constrained by digital inequality. In contrast, solidarity capital provided emotional, informational, and practical support across socioeconomic backgrounds, helping graduates access job opportunities in the absence of strong institutional mechanisms. These results contribute to career theory by highlighting the role of culturally embedded, informal support networks in non-Western contexts and call for more inclusive career assessment and intervention strategies.<br>
DOI: 10.15468/dl.q9qk6k
title: Occurrence Download

description: A dataset containing 20312 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Canis lupus"
 ]
}

 The dataset includes 20312 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017399-251025141854904/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.cc2mxvm1
title: CSD 2440804: Experimental Crystal Structure Determination

description: Related Article: Piotr A. Gunka, Sofija Milos, Martin Ende, Frederico Alabarse, Ronald Miletich, Kamil F. Dziubek|2025|CrystEngComm|27|5983|doi:10.1039/d5ce00593k
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.17524532
title: Single-cell Profiling Reveals Diverse γδ T Cell Subsets in Ulcerative Colitis

description: Lena S. Mayer, Jakob Arnold, Felix Roettele, Nadine Reuter, Ajinkya Pattekar, Takuya Ohtani, Mariana M. Ribeiro, Rebecca Siwicki, Kerstin Bruder, David Obwegs, Elin Stahl, Sarah Buechel, Natascha Roehlen, Julia Kolter, Zohreh Mansoori Moghadam, Ahmed Alaswad, Zhibek Zhumalidova, Guang Li, Xinjuan Liu, Yang Li, Amit Singh, Jose Villacorta Hidalgo, Maria D. Paraskevopoulou, Vijay Yajnik, Julius Juarez, Yue Ren, Hongzhe Li, E. John Wherry, James D. Lewis, Gary D. Wu, Meenakshi Bewtra, Vesselin T. Tomov, Robert Thimme, Bertram Bengsch, Peter Hasselblatt, Simone Picelli, Maike Hofmann, Sagar

 

This repository contains the code, raw files and processed datasets to reproduce scRNA-seq and FACS figures in our manuscript. Code is also availabl at github.

Overview of Figures and Related Files

All processing and figure scripts can be found in processing_and_figures_scripts.zip. Unprocessed raw data (count matrices, TCR contigs, FACS files) are either deposited here or can be found found in repositories of the respective publication: Count matrix data related to Smillie et. al, 2019 can be found here SCP259 and data related to Thomas et. al, 2024 are deposited here zenodo (cd8tcells_final.h5ad, epicolonic_final.h5ad). Processed objects to recreate the following figures are provided as R object files (.Rds). 

Fig. 1, Fig. 3, Fig.4, Fig. S1, Fig.S3, Fig.S4 FLASHseq_processing.R, FLASHseq_figures.R, FLASHseq_gd.Rds, FLASHseq_pySCENIC_auc.csv, FLASHseq_raw_data.zip

Fig.6, Fig. S6: integrated_L21_Smillie19_processing.R, Smillie19_processing.R, integrated_L21_Smillie19_figures.R, integrated_L21_Smillie19_enterocytes.Rds, integrated_L21_Smillie19_gdTcells.Rds, Smillie_PB.Rds, Li2021_raw_data.zip

Fig. 7: Thomas24_processing.R, Thomas_24_figures.R, thomas24_entero_pb.Rds, thomas24_gd_pb.Rds

Fig. 8, Fig. S8: PBMC_scRNAseq_processing.R, PBMC_FACS_processing.R, PBMC_figures.R, PBMC_scRNAseq_Vd1.Rds, PBMC_scRNAseq_Vd2.Rds, PBMC_FACS_vd1.Rds, PBMC_scRNAseq_raw_data.zip, PBMC_FACS_raw_data.zip
DOI: 10.15468/dl.jz4rfw
title: Occurrence Download

description: A dataset containing 183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Magnoliopsida",
 "Geometry POLYGON ((-71.01267 42.38421, -71.04865 42.38421, -71.04865 42.41417, -71.01267 42.41417, -71.01267 42.38421))",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 183 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017400-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17529344
title: Data supporting 'Flow morphology and patterns in porous media convection: A persistent homology analysis'

description: Temperature fields are stored.

SIMULATIONS A -The results are relative to 10 simulations labelled as "A" in the corresponding manuscript. Matlab and python scripts to access and visualize the data are also provided. The fields are taken at 1 horizontal plane located near the boundary. Several snapshots are available in the early and late stages of the flow.

SIMULATIONS C -The results are relative to 18 simulations labelled as "C" in the corresponding manuscript. Matlab and python scripts to access and visualize the data are also provided. The fields are taken at 2 horizontal planes located near the boundary and at the centerline. For each plane, 10 snapshots are available.
DOI: 10.5281/zenodo.17529372
title: Data for 'Examining model transferability for forest carbon stock estimation in subtropical ecosystems based on airborne Lidar and field measurements'

description: This dataset contains carbon stock values calculated from field plot surveys and corresponding contemporaneous forest structural variables derived from airborne lidar. It encompasses three plantation tree species in southern China: Masson pine, Chinese fir, and Eucalyptus. The dataset were collected from nine study sites across three provinces/regions in China—Anhui, Fujian, and Guangxi—spanning the northern, central, and southern subtropical zones.

A total of 270 sample plots were established. The plot size was 20 m × 20 m, except in Anhui province where it was 25.82 m × 25.82 m. Plot-level carbon stocks (t/ha) were derived by summing individual tree carbon estimates from species-specific allometric equations and carbon conversion coefficients. 

Airborne LiDAR data (2018-2024) were processed to create a canopy height model (CHM) at a 1-meter resolution. The forest structural variables comprised the following metrics:

Mean height (HME),

Kurtosis (HKU), 

Standard deviation (HSD), 

Height percentiles (H10, H20, ..., H100)

The dataset is provided in Excel (.xlsx) format.