cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/zmzs2b6xnh.4
title: Saturation, swelling pressure, permeability and porosity data of a Bavarian bentonite, Friedland clay and Opalinus clay from percolation experiments at 35–150 °C

description: The given research data comprise results of percolation experiments with the Bavarian bentonite Calcigel (B25), Friedland clay (FRT) and Opalinus clay (OPA) at temperatures between 35 °C and 150 °C. Particularly, the final degree of saturation, the swelling pressure evolution, liquid permeability and porosity (mercury intrusion porosimetry, MIP) were measured and are provided in the given data sheets. 

The results, except the MIP data, were obtained at the GRS gGmbH (Braunschweig, Germany) in the frames of the research project "Thermische Integrität von Ton und Tonsteinen - Experiment und gekoppelte THMC-Simulationen" (THMC-Sim) carried out by Dr Artur Meleshyn and Dr Matthias Hinze and funded (grant number 45185358) by the Site Selection Division of the Bundesgesellschaft für Endlagerung mbH (represented by Head of Department Safety Investigations PD Dr Wolfram Rühaak, project support Merle Bjorge). 

The MIP data were obtained by Dr Neven Ukrainczyk and Dipl.-Ing. (FH) Yvette Schales at the Institute of Construction and Building Materials of the Technical University of Darmstadt (Germany) and provided to GRS gGmbH by Dr Lan Nguyen-Thanh within the framework of the sub-contract ‘Analysen_THMC-Sim’ (order number 3573 – 45185358 – AN430020).

These data were used by Artur Meleshyn, Matthias Hinze, Marvin Middelhoff, Larissa Friedenberg, and Kyra Jantschik to prepare the scientific report "Thermische Integrität von Ton und Tonsteinen - Experiment und gekoppelte THMC-Simulationen (THMC-Sim)", which provides a detailed account of the experimental concept and derivation of data. The report can be downloaded from https://www.grs.de/de/aktuelles/publikationen/grs-787.
DOI: 10.15156/bio/sh0167159.10fu
title: SH0167159.10FU

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/sh0167160.10fu
title: SH0167160.10FU

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/sh0167161.10fu
title: SH0167161.10FU

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: 10.17632/3zy3smyydm.2
title: Source Data Figures 5J, 5K, 6F, and Source Data Supplemental Figures S1, S2D, S6K, S7H and S8D

description: The files include: 
Source Data Figure 5J
Raw OD₆₀₀ readings over 30 h at 37 °C under microaerophilic and anaerobic conditions.
Source Data Figure 5K
Ct values and relative expression (2^–ΔΔCt) of genes related to translation of N. elongata under anaerobic versus microaerophilic conditions.
Source Data Figure 6F
Ct values and relative expression (2^–ΔΔCt) of genes related to oxidative stress defense, signal transduction, and gingipain proteases of P. gingivalis under anaerobic versus microaerophilic conditions.
Source Data Figure S1
Bacterial counts in each square for each sample.
Source Data Figure S2D
Spearman R and p values for genus-level correlations between scRNA-seq and metagenomic profiles.
Source Data Figure S6K
Ct values and relative expression (2^–ΔCt) of genes related to adhesion, T6SS, and nitrate respiration of N. elongata under anaerobic versus microaerophilic conditions.
Source Data Figure S7H
Ct values and relative expression (2^–ΔΔCt) of genes related to peptidase-related genes of P. intermedia under anaerobic versus microaerophilic conditions.
Source Data Figure S8D
Ct values and relative expression (2^–ΔΔCt) of genes related to arginine utilization of P. gingivalis under anaerobic versus microaerophilic conditions.
DOI: 10.15156/bio/sh0167162.10fu
title: SH0167162.10FU

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/sh0167163.10fu
title: SH0167163.10FU

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.rgqs3u
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009700-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tpqe5b
title: Occurrence Download

description: A dataset containing 2992 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Panthiades bathildis (R.F.C.Felder, 1865)"
 ]
}

 The dataset includes 2992 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071719-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gvvidw
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024612-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tfkoy4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 0 records from 19027 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014142-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aqtjcs
title: Occurrence Download

description: A dataset containing 41278 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 {
 "or" : [
 "Continent is North America",
 "Continent is South America"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Viperidae"
 ]
}

 The dataset includes 41278 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008045-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kg2n6w
title: Occurrence Download

description: A dataset containing 24193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-79.47754 -55.53223,-55.06348 -57.87598,-40.56885 -22.15088,-71.47705 -16.58447,-79.47754 -55.53223))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amaranthaceae"
 ]
}

 The dataset includes 24193 records from 195 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0301787-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.94tq3v
title: Occurrence Download

description: A dataset containing 6014989 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Squamata"
 ]
}

 The dataset includes 6014989 records from 2280 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0219345-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dvpahc
title: Occurrence Download

description: A dataset containing 144630 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chironomus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 144630 records from 479 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002882-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gekq79
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Harveylithon rupestre"
 ]
}

 The dataset includes 14 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002929-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.he3h6k
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cypripedium shanxiense"
 ]
}

 The dataset includes 60 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002931-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18553149
title: Mapping Pituitary Neuroendocrine Tumors: An Annotated MRI Dataset Profiling Tumor and Carotid Characteristics

description: This open dataset comprises high-resolution T1-weighted contrast-enhanced MRI scans from 136 patients with pituitary neuroendocrine tumors, annotated for tumor segmentation and bilateral intracranial carotid arteries. Co-registered T2-weighted images are provided where available. Accompanying clinical, radiological, pathological and basic radiomic metadata are included. Data are pre-processed and provided in NIfTI format with segmentation masks for automated analysis and validation of radiomic workflows.
DOI: 10.5281/zenodo.18553150
title: Mapping Pituitary Neuroendocrine Tumors: An Annotated MRI Dataset Profiling Tumor and Carotid Characteristics

description: This open dataset comprises high-resolution T1-weighted contrast-enhanced MRI scans from 136 patients with pituitary neuroendocrine tumors, annotated for tumor segmentation and bilateral intracranial carotid arteries. Co-registered T2-weighted images are provided where available. Accompanying clinical, radiological, pathological and basic radiomic metadata are included. Data are pre-processed and provided in NIfTI format with segmentation masks for automated analysis and validation of radiomic workflows.
DOI: 10.15468/dl.29grhx
title: Occurrence Download

description: A dataset containing 17601 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Linepithema humile (Mayr, 1868)"
 ]
}

 The dataset includes 17601 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014376-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17571171
title: Dataset for publication "Enhancing Solid Booster Utilization in Redox-targeted Flow Batteries with Non-fluorinated Binders"

description: Replacing PVDF as binder in solid boosters for redox-targeted flow batteries with less hydrophobic non-fluorinated alternatives enhancing booster utilization. DOI of publication: https://doi.org/10.1021/acsmaterialslett.5c01591
DOI: 10.5281/zenodo.18468489
title: Dataset for publication "Enhancing Solid Booster Utilization in Redox-targeted Flow Batteries with Non-fluorinated Binders"

description: Replacing PVDF as binder in solid boosters for redox-targeted flow batteries with less hydrophobic non-fluorinated alternatives enhancing booster utilization. DOI of publication: https://doi.org/10.1021/acsmaterialslett.5c01591
DOI: 10.15468/dl.2533gc
title: Occurrence Download

description: A dataset containing 9462 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Panama",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Tursiops truncatus, Stenella attenuata, Trichechus manatus, Artibeus jamaicensis, Artibeus lituratus, Carollia perspicillata, Glossophaga soricina, Myotis nigricans, Molossus molossus, Noctilio leporinus, Vampyrum spectrum, Desmodus rotundus)"
 ]
}

 The dataset includes 9462 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002934-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.67rsbk
title: Occurrence Download

description: A dataset containing 1516 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Arundinella setosa"
 ]
}

 The dataset includes 1516 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002933-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ptggvy
title: Occurrence Download

description: A dataset containing 1302 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mabea fistulifera",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 1302 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002936-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/dans-26b-xrqu
title: Dutch Ethnic Minority Election Study 2021 (DEMES/NKO-EM 2021)
title: Nationaal Kiezersonderzoek onder Etnische Minderheden 2021

description: &lt;p&gt;The Dutch Ethnic Minority Study 2021 has been an enterprise of the Foundation of Electoral Studies in The Netherlands (Stichting Kiezers Onderzoek Nederland; SKON) and Statistics Netherlands (CBS). The DEMES 2021 has been made possible by grants from the Open Data Infrastructure for Social Science and Economic Innovations (ODDISSEI), the Ministry of the Interior and Kingdom Relations (BZK) and Radboud University’s Radboud Social and Cultural Research (RSCR).&lt;/p&gt;&lt;p&gt;The Dutch Ethnic Minority Election Study (DEMES) is the first Dutch election study among a representative sample of Dutch citizens with a first or second generation migration background from Africa, Asia (excl. Indonesia and Japan) and Latin-America. DEMES is part of Dutch Parliamentary Election Study (DPES) 2021, that is collected during the Dutch parliamentary elections of 2021. The goal of DPES is to provide answers to questions related to the Dutch parliamentary elections. Some of these questions are about political behavior and preferences of Dutch citizens with a migration background. Since this group turned out to be underrepresented in DPES studies around earlier elections, DEMES targeted ethnic minority voters in particular to reach sufficient numbers to study the group(s). Some specific questions are included that relate to immigrant voting in particular (such as questions related to perceived discrimination, country of origin relations and questions on the party NIDA, that were not included in the general DPES survey). Overall, the questionnaire that was issues mirrors the DPES questionnaire. It is therefore possible to merge DEMES with the DPES2021 data.&lt;/p&gt;&lt;p&gt;The DEMES 2021 survey consists of two rounds: a pre-election survey (between January 26 and March 14) and a post-election survey (between March 18 and May 17), similar period as the DPES data.&lt;/p&gt;&lt;p&gt;This dataset was updated with the files from the December 2022 v2.0 release and republished on January 30th, 2023. The files from the v2.0 version are found in the subfolder '2022-12_v2''.&lt;/p&gt;
description: Issued: 2021-12-24
DOI: 10.15468/dl.68yb9z
title: Occurrence Download

description: A dataset containing 47774 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "Geometry POLYGON((-100.551 36.917,-71.79 36.917,-71.79 49.612,-100.551 49.612,-100.551 36.917))",
 "Year is greater than or equal to 1970",
 "RecordedBy is one of (Andrew Mack, Andrew Mitchell, Andrew Sabai, Andrew Sebastian, andrewbtmn, andreweggleston, andrewjones8583, andrewm77, andrewmeyers95, andrewsantos98, andrewshuang, andrewstokes, andriy, Andy Alexandrov, Andy Birkey, Andy Fyon, Andy Goerdel - Texas Master Naturalist, Good Water Chapter, Andy Jones, Andy Nelson, Andy Olson, Andy Warren, Andy Wilson, andyleblanc83, ane-moe-ne, anemonequeen, ang19e, anika_b, animalview29, Anita, ann_maj, Anna, Anna Mindel, anna_h_mhc, anna_shelby, Annabella, annadigiovenale, annagypsy, annalisebuchowski, annaperruzza, Anne, Anne Barbour Kawartha Field Naturalists, Anne McArthur, Anne Parker, anneea, anneke_r, Annette Logan Miller, Annie H., annmalayil, annorsillo, annvictory)",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 47774 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002932-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gv9x2c
title: Occurrence Download

description: A dataset containing 200064 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 46.479780028101516
 AND decimallatitude &lt;= 51.21395264452012
 AND decimallongitude &gt;= -86.85869421308222
 AND decimallongitude &lt;= -75.5327771015545
 AND GBIF_Within('POLYGON ((-75.532777 46.479780, -75.532777 51.213953, -86.858694 51.213953, -86.858694 46.479780, -75.532777 46.479780))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 200064 records were derived from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002910-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.