cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15083710
title: BinBencher reference: CAMI2 toy human microbiome short read gold standard assembly

description: These files are reference files for the program BinBencher for the Critical Assesment for Metagenomics Interpretation round 2 (CAMI2) Toy human microbiome short-read gold standard assembly datasets.

The references have the following limitations, on top of the limitations from the CAMI simulations:



As in the simulations, any plasmids are considered part of their host genome, as if they were an additional chromosome in the host genome.

The provided taxonomy is not entirely complete, in that not all genomes have the same number of ranks. All ranks that are not domain, phylum, class, order, family, genus or species, is removed. Dummy rank names are inserted where a rank is missing for a genome. 


The CAMI2 dataset itself is available here: https://frl.publisso.de/data/frl:6425518/
DOI: 10.5281/zenodo.15083711
title: BinBencher reference: CAMI2 toy human microbiome short read gold standard assembly

description: These files are reference files for the program BinBencher for the Critical Assesment for Metagenomics Interpretation round 2 (CAMI2) Toy human microbiome short-read gold standard assembly datasets.

The references have the following limitations, on top of the limitations from the CAMI simulations:



As in the simulations, any plasmids are considered part of their host genome, as if they were an additional chromosome in the host genome.

The provided taxonomy is not entirely complete, in that not all genomes have the same number of ranks. All ranks that are not domain, phylum, class, order, family, genus or species, is removed. Dummy rank names are inserted where a rank is missing for a genome. 


The CAMI2 dataset itself is available here: https://frl.publisso.de/data/frl:6425518/
DOI: 10.17632/n86b95fgdn.1
title: ZnMMPF-X-NB

description: Steady State Emission
DOI: 10.5281/zenodo.13349537
title: Effect of resource abundance on woodland rodents' demography at latitudinal extremes in Europe

description: This pre-released repository holds the data and codes from the project Effect of resource abundance on woodland rodents’ demography at latitudinal extremes in Europe.
DOI: 10.5281/zenodo.13349536
title: Effect of resource abundance on woodland rodents' demography at latitudinal extremes in Europe

description: This pre-released repository holds the data and codes from the project Effect of resource abundance on woodland rodents’ demography at latitudinal extremes in Europe.
DOI: 10.5281/zenodo.15083764
title: Effect of resource abundance on woodland rodents' demography at latitudinal extremes in Europe

description: This pre-released repository holds the data and codes from the project Effect of resource abundance on woodland rodents’ demography at latitudinal extremes in Europe.
DOI: 10.5281/zenodo.15083584
title: Dados de pesquisa_google academico

description: Conjunto de dados da pesquisa intitulada "Considerações sobre as Bibliotecas Universitárias e Educação Aberta no Contexto Brasileiro" submetida à apreciação da 16ª Conferência Lusófona de Ciência Aberta, 2025.
DOI: 10.5281/zenodo.15083585
title: Dados de pesquisa_google academico

description: Conjunto de dados da pesquisa intitulada "Considerações sobre as Bibliotecas Universitárias e Educação Aberta no Contexto Brasileiro" submetida à apreciação da 16ª Conferência Lusófona de Ciência Aberta, 2025.
DOI: 10.5281/zenodo.15083851
title: Chemically recycled PU foam waste as new building blocks for new polymer development via Michael addition reaction (RecPUR)

description: Today, following the goals defined by the European Green Deal and the goals of the Latvian Bioeconomy Strategy, it is essential to replace petrochemical raw materials with renewable and recyclable raw materials, thus reducing CO2 emissions. The RecPUR project will use polyurethane foam waste, which causes huge ecological problems, and the local resource tall oil, which is a renewable raw material of wood origin, obtained in the pulp production process. The RecPUR project proposes the idea of depolymerization of polyurethane foam waste using polyols from tall oil or epoxidized tall oil fatty acids. Two types of monomers will be synthesized from depolymerized polyurethane foam: Michael donor - monomer containing acetoacetate groups, and Michael acceptor - monomer containing acrylic acid groups. Sequentially, the resulting donor and acceptor monomers will form a polymer through a Michael addition mechanism. The resulting polymer will contain urethane groups, but no isocyanate will be used in the synthesis process. The final activity of RecPUR is the foaming of Michael polymer using the new generation foaming agents, thus obtaining a thermal insulation material that would be competitive in terms of properties with the conventional polyurethane foams. The physico-mechanical and thermal properties of polymers will be studied. The developed processes and technologies will have great potential for commercialization.
DOI: 10.5281/zenodo.15083852
title: Chemically recycled PU foam waste as new building blocks for new polymer development via Michael addition reaction (RecPUR)

description: Today, following the goals defined by the European Green Deal and the goals of the Latvian Bioeconomy Strategy, it is essential to replace petrochemical raw materials with renewable and recyclable raw materials, thus reducing CO2 emissions. The RecPUR project will use polyurethane foam waste, which causes huge ecological problems, and the local resource tall oil, which is a renewable raw material of wood origin, obtained in the pulp production process. The RecPUR project proposes the idea of depolymerization of polyurethane foam waste using polyols from tall oil or epoxidized tall oil fatty acids. Two types of monomers will be synthesized from depolymerized polyurethane foam: Michael donor - monomer containing acetoacetate groups, and Michael acceptor - monomer containing acrylic acid groups. Sequentially, the resulting donor and acceptor monomers will form a polymer through a Michael addition mechanism. The resulting polymer will contain urethane groups, but no isocyanate will be used in the synthesis process. The final activity of RecPUR is the foaming of Michael polymer using the new generation foaming agents, thus obtaining a thermal insulation material that would be competitive in terms of properties with the conventional polyurethane foams. The physico-mechanical and thermal properties of polymers will be studied. The developed processes and technologies will have great potential for commercialization.
DOI: 10.15468/dl.s599ch
title: Occurrence Download

description: A dataset containing 250 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tangara preciosa (Cabanis, 1851)"
 ]
}

 The dataset includes 250 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000466-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xd5zct
title: Occurrence Download

description: A dataset listing the 17269 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Living Specimen, Occurrence evidence, Human Observation, Machine Observation, Observation)",
 "Country is Portugal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "Year 2019-2024"
 ]
}

 The dataset's 17269 records were derived from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000457-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7bssgs
title: Occurrence Download

description: A dataset containing 2369027 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (France, Saint Barthélemy, French Guiana, Guadeloupe, Saint Martin (French part), Martinique, New Caledonia, French Polynesia, Saint Pierre and Miquelon, Réunion, French Southern Territories, Wallis and Futuna, Mayotte)",
 "DatasetKey is one of (Observation.org, Nature data from around the World)",
 {
 "not" : {
 "PublishingCountry" : [
 "is France"
 ]
 }
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is not null",
 "PhylumKey is not null"
 ]
}

 The dataset includes 2369027 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000455-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxkxwg
title: Occurrence Download

description: A dataset containing 1026 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "TaxonKey is Tangara cayana (Linnaeus, 1766)"
 ]
}

 The dataset includes 1026 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000467-250325103851331/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.28660826
title: Chromosome-scale genome assembly of the sea louse Caligus rogercresseyi (V.2)

description: <i>Caligus rogercresseyi</i>, commonly known as sea louse, is an ectoparasite copepod that impacts the salmon aquaculture in Chile, causing losses of hundreds of millions of dollars annually. This study reports an improved chromosome-scale assembly version (V2) of the sea louse (<i>C. rogercresseyi</i>) genome. This genomic resource for <i>C. rogercresseyi</i> represents a valuable tool for developing sustainable control strategies in the salmon aquaculture industry.
DOI: 10.15468/dl.fyq6w9
title: Occurrence Download

description: A dataset containing 30593 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "TaxonKey is Nemosia pileata (Boddaert, 1783)"
 ]
}

 The dataset includes 30593 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000468-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18144/bb0a16e2-adc0-46d1-bc92-9b8100e65cd6
title: Simulations futures du débit et de la piézométrie du bassin d'alimentation du Lez (Hérault) pour un scénario climatique sec et trois scénarios d'usage du sol (S0, S4 et S5),

description: Chroniques de niveau d’eau et de débit de débordement résiduel à la source karstique du Lez (BSS002GNMG) calculé par le modèle Tempo précédemment développé (Ladouche et al. http://dx.doi.org/10.1016/j.jhydrol.2013.11.017 ; BRGM/RP-60222-FR ) en considérant en entrée du modèle, les pompages et les chroniques de pluie efficace journalière (en mm/j) calculée avec l'application ESPERE, à partir des données de ré-analyse météorologiques SAFRAN pour la période 1970-2020, et du jeu de projections climatiquesCNRM-CM5/MOHC-HadREM3-GA7-05 (RCP8.5) pour 2021-2040. Le modèle Tempo permet également de simuler les piézométries des ouvrages BSS002GNRP (Suquet) et BSS002EQVB (Claret) situé au sein du bassin d’alimentation du système karstique du Lez. Le modèle Tempo permet également de simuler le débit naturalisé de la source du Lez, c’est à dire le débit qu’aurait présenté la source en absence de pompage. 
Les simulations sur la période 2021-2040 sont présentés, pour 3 scénarios d'évolution d'usage du sol traduits en coefficient cultural moyen sur le bassin (Kc, sans dimension) : S0 : scénario de référence, S4 : scénario qui minimise la recharge, S5 : scénario qui maximise la recharge, pour 2 scénarios d’évolutions climatiques contrasté : (1) avec le CNRM-CM5/IPSL-CM5A-MR/DMI-HIRHAM5 qui correspond au Q5 sec de l'ensemble Explore2-2024-Adamont sur la zone étudiée et (2) avec le jeu CNRM-CM5/MOHC-HadREM3-GA7-05 correspond au Q95 (humide) de l'ensemble Explore2-2024-Adamont sur la zone étudiée).
DOI: 10.6084/m9.figshare.27747153.v6
title: Dataset for Accelerated erosion and sediment fluxes by anthropogenic mining activities in the Irrawaddy River

description: Dataset for Accelerated erosion and sediment fluxes by anthropogenic mining activities in the Irrawaddy River. There are two supporting information materials. The supporting information materials 2 has two type of files: one for Excel type and another for PDF type.
DOI: 10.15468/dl.9znycr
title: Occurrence Download

description: A dataset containing 67303 records in GBIF matching the query:
SELECT DISTINCT "gbifid", "species", "decimallatitude", "decimallongitude", "year", "countrycode" 
FROM occurrence 
WHERE "countrycode" = 'CH' 
 AND "year" &gt;= 2010 AND "year" &lt;= 2020 
 AND "species" = 'Meles meles' 


 The dataset's 67303 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000461-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13904076
title: scRNA-seq dataset from "Glucose deprivation and identification of TXNIP as an immunometabolic modulator of T cell activation in cancer"

description: Gene expression profiling analysis of single cell RNA-seq data from MLR, anti-CD3/anti-CD28 treated and paired untreated CD4+ T cells samples under high glucose (11 mM) and low glucose (1 mM) conditions.

For each sample, cells suspensions in culture medium were recovered, washed once with 0.04% BSA in 1X PBS and processed through 10x Cell Multiplexing Oligo Labeling protocol (10x Genomics, USA) according to the manufacturer’s instructions. ~1,600 cells/µl pooled cell suspensions were prepared with equal number of cells per sample: one for MLR samples, one for non-stimulated T cells samples, and one for anti-CD3/anti-CD28-stimulated T cells samples. Libraries were prepared using the 10x Chromium Single-Cell 3’ v3.1 protocol with Feature Barcode (10x Genomics, USA), according to the manufacturer’s instructions. Sequencing was performed on a NovaSeq 6000 sequencer (Illumina, USA).

Cell Ranger (v6.0.1, 10x Genomics Inc) was applied for demultiplexing, reads mapping against the GRCh38 human reference genome, and UMI counting. Seurat package (v4.4.0) was used to generate Seurat objects. Only genes detected in at least 3 cells were kept. Cells with fewer than 200 genes detected or >15% mitochondrial UMI counts were filtered out. Samples were merged in a unique Seurat object then count data normalization and scaling was performed using Seurat with default parameters. The 2000 most highly variable genes were used for Principal Component Analysis (PCA). Harmony (v0.1.1) was applied for batch effect correction then Uniform Manifold Approximation and Projection (UMAP) and clustering using the Louvain algorithm were performed on the harmony reduction. Non-T or -MoDC clusters were removed for further analysis.
DOI: 10.5281/zenodo.13904077
title: scRNA-seq dataset from "Glucose deprivation and identification of TXNIP as an immunometabolic modulator of T cell activation in cancer"

description: Gene expression profiling analysis of single cell RNA-seq data from MLR, anti-CD3/anti-CD28 treated and paired untreated CD4+ T cells samples under high glucose (11 mM) and low glucose (1 mM) conditions.

For each sample, cells suspensions in culture medium were recovered, washed once with 0.04% BSA in 1X PBS and processed through 10x Cell Multiplexing Oligo Labeling protocol (10x Genomics, USA) according to the manufacturer’s instructions. ~1,600 cells/µl pooled cell suspensions were prepared with equal number of cells per sample: one for MLR samples, one for non-stimulated T cells samples, and one for anti-CD3/anti-CD28-stimulated T cells samples. Libraries were prepared using the 10x Chromium Single-Cell 3’ v3.1 protocol with Feature Barcode (10x Genomics, USA), according to the manufacturer’s instructions. Sequencing was performed on a NovaSeq 6000 sequencer (Illumina, USA).

Cell Ranger (v6.0.1, 10x Genomics Inc) was applied for demultiplexing, reads mapping against the GRCh38 human reference genome, and UMI counting. Seurat package (v4.4.0) was used to generate Seurat objects. Only genes detected in at least 3 cells were kept. Cells with fewer than 200 genes detected or >15% mitochondrial UMI counts were filtered out. Samples were merged in a unique Seurat object then count data normalization and scaling was performed using Seurat with default parameters. The 2000 most highly variable genes were used for Principal Component Analysis (PCA). Harmony (v0.1.1) was applied for batch effect correction then Uniform Manifold Approximation and Projection (UMAP) and clustering using the Louvain algorithm were performed on the harmony reduction. Non-T or -MoDC clusters were removed for further analysis.
DOI: 10.15468/dl.jsgt3e
title: Occurrence Download

description: A dataset containing 99294 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Denmark",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than 50000",
 "Year is 2005",
 "DecimalLongitude is greater than or equal to 7.38",
 "DecimalLongitude is less than or equal to 9.03",
 "DecimalLatitude is greater than or equal to 55.1",
 "DecimalLatitude is less than or equal to 56.06"
 ]
}

 The dataset includes 99294 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000451-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4xdse4
title: Occurrence Download

description: A dataset listing the 10 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Bull Kelp Forest Ecosystem Monitoring Database, Northern California, 1971-2023",
 "Year 2022-2022"
 ]
}

 The dataset's 10 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000465-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/hhpq-kbkm
title: Measurement of Inorganics in precipitation at Ny-Ålesund

description: Measurement of Inorganics in precipitation at Ny-Ålesund
DOI: 10.48597/hf4n-fnb8
title: Measurement of Inorganics in precipitation at Ny-Ålesund

description: Measurement of Inorganics in precipitation at Ny-Ålesund
DOI: 10.48597/3p3w-t3j2
title: Measurement of Inorganics in precipitation at Ny-Ålesund

description: Measurement of Inorganics in precipitation at Ny-Ålesund
DOI: 10.48597/545r-un9e
title: Measurement of Inorganics in precipitation at Ny-Ålesund

description: Measurement of Inorganics in precipitation at Ny-Ålesund
DOI: 10.48597/vdsm-wmuu
title: Measurement of Inorganics in precipitation at Ny-Ålesund

description: Measurement of Inorganics in precipitation at Ny-Ålesund
DOI: 10.48597/wqv9-rzkm
title: Measurement of Inorganics in precipitation at Ny-Ålesund

description: Measurement of Inorganics in precipitation at Ny-Ålesund
DOI: 10.5281/zenodo.15083879
title: Thin film structures and transfer integrations
DOI: 10.5281/zenodo.15083880
title: Thin film structures and transfer integrations
DOI: 10.15468/dl.b7ntke
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material sample)",
 "Country is China",
 "OccurrenceStatus is Present",
 "StateProvince is 浙江",
 "TaxonKey is Bashania Keng f. & T.P.Yi"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000469-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15079000
title: Geological Paleoslip Fault Data for the Albertine Rift, Uganda

description: This dataset contains measurements of slickenlines (slip vectors) taken on exposures of slip surfaces along the principal plate boundary faults of the Albertine Rift, Uganda. The data includes Location/fault, Strike,    Dip, Dip direction, Trend, Plunge, Slip sense, Latitude, Longitude, Date, Quality ranking (A: high, B: intermediate, C: low).

The datasets were collected between 2022-07-27 to 2022-07-31.

The fieldwork was funded by NSF Award 2021660: Collaborative Research: Dry Rifting In the Albertine-Rhino graben (DRIAR), Uganda.
DOI: 10.5281/zenodo.15079001
title: Geological Paleoslip Fault Data for the Albertine Rift, Uganda

description: This dataset contains measurements of slickenlines (slip vectors) taken on exposures of slip surfaces along the principal plate boundary faults of the Albertine Rift, Uganda. The data includes Location/fault, Strike,    Dip, Dip direction, Trend, Plunge, Slip sense, Latitude, Longitude, Date, Quality ranking (A: high, B: intermediate, C: low).

The datasets were collected between 2022-07-27 to 2022-07-31.

The fieldwork was funded by NSF Award 2021660: Collaborative Research: Dry Rifting In the Albertine-Rhino graben (DRIAR), Uganda.
DOI: 10.5066/p13eobzq
title: Labeled satellite imagery for training machine learning semantic segmentation models of coastal shorelines

description: A collection of data releases containing labeled satellite imagery for the purpose of training Machine Learning models to automate the task of shoreline extraction from satellite imagery. Shoreline mapping from satellite imagery, known as Satellite-Derived Shorelines or SDS, has the potential to transform coastal shoreline mapping for erosion hazard mapping and coastal resource assessment, among many potential uses. Automation of such tasks using Machine Learning is a crucial component of cost-saving and quality assurance for large-scale routine shoreline mapping. The associated image suitability dataset (https://doi.org/10.5066/P14MDKVJ) and semantic segmentations of satellite imagery (https://doi.org/10.5066/P1N4VI7H) are available.
DOI: 10.15468/dl.nar2cz
title: Occurrence Download

description: A dataset containing 18426 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Caracterización de fauna, flora y líquenes en Área de Perforación Exploratoria Bienparado, municipio de Puerto de Asís, Putumayo"
 ]
}

 The dataset includes 18426 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000471-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p1n4vi7h
title: Labeled satellite imagery for training machine learning models that predict the suitability of semantic segmentation model outputs for shoreline extraction

description: A collection of data releases containing labeled satellite imagery for the purpose of training Machine Learning models to automate the task of shoreline extraction from satellite imagery. Shoreline mapping from satellite imagery, known as Satellite-Derived Shorelines or SDS, has the potential to transform coastal shoreline mapping for erosion hazard mapping and coastal resource assessment, among many potential uses. Automation of such tasks using Machine Learning is a crucial component of cost-saving and quality assurance for large-scale routine shoreline mapping. The associated satellite images with labeled classifications (https://doi.org/10.5066/P13EOBZQ) and image suitability (https://doi.org/10.5066/P14MDKVJ) datasets are available.
DOI: 10.5281/zenodo.15083899
title: ADVANCING THE UNDERSTANDING AND APPLICATION OF BUILDING INFORMATION MODELING
DOI: 10.5281/zenodo.15083900
title: ADVANCING THE UNDERSTANDING AND APPLICATION OF BUILDING INFORMATION MODELING