cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17028/rd.lboro.30265558.v1
title: Supplementary information files for "A lanthanide tag for a complementary set of pseudocontact shifts"

description: Supplementary files for article "A lanthanide tag for a complementary set of pseudocontact shifts"<br><br>Pseudocontact shifts (PCS) generated by paramagnetic lanthanide ions deliver powerful restraints for protein structure analysis by NMR spectroscopy. We present a new lanthanide tag that generates different PCSs than that of a related tag, which differs in structure by a single oxygen atom. It is highly reactive towards cysteine and performs well in turn-on luminescence and in EPR spectroscopy.<br><br>© The Author(s), CC BY-4.0
DOI: 10.6084/m9.figshare.29424626
title: Datafiles produced for the manuscript - PyamilySeq: Exposing the fragility of conventional gene (re)clustering and pangenomic inference methods.

description: Available here are the two datasets used in the 'PyamilySeq: Exposing the fragility of conventional gene (re)clustering and pangenomic inference methods' manuscript.
DOI: 10.6084/m9.figshare.29424626.v2
title: Datafiles produced for the manuscript - PyamilySeq: Exposing the fragility of conventional gene (re)clustering and pangenomic inference methods.

description: Available here are the two datasets used in the 'PyamilySeq: Exposing the fragility of conventional gene (re)clustering and pangenomic inference methods' manuscript.
DOI: 10.6084/m9.figshare.29424626.v1
title: Datafiles produced for the manuscript - PyamilySeq: Exposing the fragility of conventional gene (re)clustering and pangenomic inference methods.

description: Available here are the two datasets used in the 'PyamilySeq: Exposing the fragility of conventional gene (re)clustering and pangenomic inference methods' manuscript.
DOI: 10.13120/3171895b-8fa8-4d72-945c-a1bf28dbc708
title: Greater North Sea and Celtic Seas - Eutrophication and Acidity aggregated datasets 1899/2024 v2025
title: North_Sea_-_Eutrophication_and_Acidity_aggregated_datasets_1899/2024_v2025

description: EMODnet Chemistry aims to provide access to marine chemistry datasets and derived data products concerning eutrophication, acidity and contaminants. The importance of the selected substances and other parameters relates to the Marine Strategy Framework Directive (MSFD). This aggregated dataset contains all unrestricted EMODnet Chemistry data on eutrophication and acidity, and covers the Greater North Sea and Celtic Seas. Data were aggregated and quality controlled by 'Aarhus University, Department of Bioscience, Marine Ecology Roskilde' in Denmark.
ITS-90 water temperature and water body salinity variables have also been included ('as are') to complete the eutrophication and acidity data. If you use these variables for calculations, please refer to SeaDataNet for the quality flags: https://www.seadatanet.org/Products/Aggregated-datasets .
Regional datasets concerning eutrophication and acidity are automatically harvested, and the resulting collections are aggregated and quality controlled using ODV Software and following a common methodology for all sea regions ( https://doi.org/10.13120/8xm0-5m67 ). Parameter names are based on P35 vocabulary, which relates to EMODnet Chemistry aggregated parameter names and is available at: https://vocab.nerc.ac.uk/search_nvs/P35/ .
When not present in original data, water body nitrate plus nitrite was calculated by summing all nitrate and nitrite parameters. The same procedure was applied for water body dissolved inorganic nitrogen (DIN), which was calculated by summing all nitrate, nitrite, and ammonium parameters. Concentrations per unit mass were converted to a unit volume using a constant density of 1.025 kg/L.
The aggregated dataset can also be downloaded as an ODV collection and spreadsheet, which is composed of a metadata header followed by tab separated values. This spreadsheet can be imported to ODV Software for visualisation (more information can be found at: https://www.seadatanet.org/Software/ODV ).
DOI: 10.13144/lil-1734b
title: Enquête Emploi en continu (EEC) - 2024

description: L'enquête Emploi en continu est la seule source fournissant une mesure des concepts d'activité, chômage, emploi et inactivité tels qu'ils sont définis par le Bureau international du travail (BIT). Elle comporte par ailleurs des informations très nombreuses sur les caractéristiques des personnes (sexe, âge, diplôme, expérience, etc), les conditions d'emploi (profession, type de contrat, temps de travail, ancienneté dans l'emploi, sous-emploi, etc.), les situations de non-emploi (méthodes de recherche d'emploi, études, retraite, etc.).L'enquête Emploi est produite selon un calendrier trimestriel et sa collecte se déroule en continu tout au long de l'année. L'échantillon est constitué de logements. Une fois qu'un logement a été tiré, ses occupants seront enquêtés six trimestres consécutifs. À partir de 2021, la première interrogation se fait en face à face ; les interrogations suivantes par internet ou téléphone. La réponse par un tiers est autorisée.Nouveauté pour l'édition 2024 (et les suivantes) : Mayotte est intégré à la collecte en continu de l'enquête Emploi à partir de ce millésime.
DOI: 10.13120/7202abc3-2619-44f3-a8ba-efa7a3eb80c5
title: European - Eutrophication and Acidity aggregated datasets 1899/2024 v2025
title: European_-_Eutrophication_and_Acidity_aggregated_datasets_1899/2024_v2025

description: EMODnet Chemistry aims to provide access to marine chemistry datasets and derived data products concerning eutrophication, acidity, contaminants and marine litter. The importance of the selected substances and other parameters relates to the Marine Strategy Framework Directive (MSFD). This aggregated dataset contains all unrestricted EMODnet Chemistry data profiles on eutrophication and acidity, and covers: the Artic Ocean, the North East Atlantic, the Greater North Sea and Celtic Seas, the Baltic Sea, the Mediterranean Sea and the Black Sea. 
ITS-90 water temperature and water body salinity variables have also been included ('as are') to complete the eutrophication and acidity data. If you use these variables for calculations, please refer to SeaDataNet for the quality flags: https://www.seadatanet.org/Products/Aggregated-datasets .
This European dataset is the result of the aggregation of the regional datasets concerning eutrophication and acidity present in EMODnet Chemistry. The regional datasets are automatically harvested, and the resulting collections are aggregated and quality controlled using ODV Software and following a common methodology for all sea regions ( https://doi.org/10.13120/8xm0-5m67 ). Parameter names are based on P35 vocabulary, which relates to EMODnet Chemistry aggregated parameter names and is available at: https://vocab.nerc.ac.uk/search_nvs/P35/. This process were regionally performed by: 'Institute of Marine Research - Norwegian Marine Data Centre (NMD)' (Norway), 'IFREMER / IDM / SISMER - Scientific Information Systems for the SEA' (France), 'Aarhus University, Department of Bioscience, Marine Ecology Roskilde' (Denmark), 'Swedish Meteorological and Hydrological Institute (SMHI)' (Sweden), 'Hellenic Centre for Marine Research, Hellenic National Oceanographic Data Centre (HCMR/HNODC)' (Greece) and 'National Institute for Marine Research and Development 'Grigore Antipa' (Romania).
When not present in original data, water body nitrate plus nitrite was calculated by summing all nitrate and nitrite parameters. The same procedure was applied for water body dissolved inorganic nitrogen (DIN), which was calculated by summing all nitrate, nitrite, and ammonium parameters. Concentrations per unit mass were converted to a unit volume using a constant density of 1.025 kg/L.
The aggregated dataset can be downloaded as an ODV collection.
DOI: 10.15468/dl.rxwqdy
title: Occurrence Download

description: A dataset containing 18175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((6.74293 48.08431,7.29658 43.00926,14.4478 44.20882,18.78466 40.564,29.25774 41.11765,33.0871 49.00705,18.18488 51.77527,9.09591 49.97593,6.74293 48.08431))",
 "OccurrenceStatus is Present",
 "TaxonKey is Limosa limosa"
 ]
}

 The dataset includes 18175 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040008-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d77ayb
title: Occurrence Download

description: A dataset containing 5879 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Geometry POLYGON((-180 -25,180 -25,180 25,-180 25,-180 -25))",
 "OccurrenceStatus is Present",
 "TaxonKey is Theobroma cacao"
 ]
}

 The dataset includes 5879 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040009-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13120/6467a794-74e5-4695-b1ec-8d1cfdbcbb8a
title: Greater North Sea and Celtic Seas - Contaminants aggregated datasets 1970/2022 v2025
title: Greater_North_Sea_Contaminants_aggregated_datasets_1970/2022_v2025

description: EMODnet Chemistry aims to provide access to marine chemistry datasets and derived data products concerning eutrophication, acidity and contaminants. The importance of the selected substances and other parameters relates to the Marine Strategy Framework Directive (MSFD). This aggregated dataset contains all unrestricted EMODnet Chemistry data on potential hazardous substances, despite the fact that some data might not be related to pollution (e.g. collected by deep corer). Temperature, salinity and additional parameters are included when available. It covers the Greater North Sea and Celtic Seas. Data were harmonised and validated by the 'Aarhus University, Department of Bioscience, Marine Ecology Roskilde' in Denmark.
The dataset contains water (profiles), sediment (profiles and timeseries) and biota (profiles and timeseries). The temporal coverage is 1970–2022 for water measurements, 1973–2022 for sediment measurements and 1979–2022 for biota measurements.
Regional datasets concerning contaminants are automatically harvested and the resulting collections are harmonised and validated using ODV Software and following a common methodology for all sea regions ( https://doi.org/10.6092/8b52e8d7-dc92-4305-9337-7634a5cae3f4 ). Parameter names are based on P01 vocabulary, which relates to BODC Parameter Usage Vocabulary and is available at: https://vocab.nerc.ac.uk/search_nvs/P01/ .
The harmonised dataset can be downloaded as as an ODV spreadsheet, which is composed of a metadata header followed by tab separated values. This spreadsheet can be imported into ODV Software for visualisation (more information can be found at: https://www.seadatanet.org/Software/ODV ). In addition, the same dataset is offered also as a txt file in a long/vertical format, in which each P01 measurement is a record line. Additionally, there are a series of columns that split P01 terms into subcomponents (substance, CAS number, matrix...).This transposed format is more adapted to worksheet applications (e.g. LibreOffice Calc).
DOI: 10.60609/vxy3-3f54
title: Transcription of workshop with Norwegian fishers and industry representatives 

description: EVERYFISH will develop, test, and promote a suite of innovative technological solutions for fully automated catch recording and reporting for use on board European fishing vessels, and develop innovative governance strategies that make use of the automatically reported catch data. To identify challenges related to implementation of new technological solutions for compliance purposes within the fishing industry and to create a multidisciplinary network to debate and assess implementation and integration of technology into compliance strategies, we conducted a workshop with fishers and representatives from fishers' interest organisations and sales organisations in Norway in 2023. This will help us create best-practice management guidelines for a compliance-by-design architecture based on technological solutions. The dataset is an anonymised textual transcription of the workshop. 

These data have been used in the publication Ahlquist et al. 2025, DOI: https://doi.org/10.1016/j.marpol.2025.106750.
DOI: 10.15468/kp6wyj
title: Three new species of Peltaea (Malvaceae, Malvoideae) from the cerrado of Brazil

description: This dataset contains the digitized treatments in Plazi based on the original journal article Fernandes-Júnior, Aluisio J., Esteves, Gerleni L. (2016): Three new species of Peltaea (Malvaceae, Malvoideae) from the cerrado of Brazil. Phytotaxa 255 (1): 75-82, DOI: 10.11646/phytotaxa.255.1.7, URL: http://dx.doi.org/10.11646/phytotaxa.255.1.7AbstractThree new species of Peltaea are described from the cerrado of Brazil: P. brasiliana from Distrito Federal, P. rupestris from the state of Minas Gerais and P. stellata from the state of Tocantins. Illustrations, comments on morphology, taxonomic relationships, and phenology are provided, as well as assessments of conservation status of the new species.
DOI: 10.15468/6g9d5f
title: Three new Trachyuropoda (Acari: Uropodina: Trachyuropodidae) species from the Neotropical region

description: This dataset contains the digitized treatments in Plazi based on the original journal article Kontschán, Jenő, Starý, Josef (2013): Three new Trachyuropoda (Acari: Uropodina: Trachyuropodidae) species from the Neotropical region. Turkish Journal of Zoology 37 (1): 7-14, DOI: 10.3906/zoo-1204-24, URL: http://dx.doi.org/10.3906/zoo-1204-24Abstract: Three new neotropical Trachyuropoda species are described and illustrated. A new species (T. darwini sp. nov.) from the neotropical Trachyuropoda arculata -group was collected in the Galápagos Islands. Two new species (T. bali sp. nov. and T. extremica sp. nov.) were collected in Colombia. T. bali sp. nov. belongs to the mostly tropical Trachyuropoda graeca -group; the other Colombian species (T. extremica sp. nov.) is a member of the widely distributed Trachyuropoda bostocki -group.
DOI: 10.13140/rg.2.2.29719.60327
title: TATA SUARA DAN CAHAYA PRODUKSI BERITA TELEVISI
DOI: 10.13140/rg.2.2.33554.17602
title: Open-source software in Matlab for CHHO (Main paper: A Meta-Heuristic-Based Approach for Qos-Aware Service Composition, IEEE ACCESS,,2020, volume 8, page: 69579-69592)
DOI: 10.13140/rg.2.2.29195.31529
title: lectures in gravimetric analysis
DOI: 10.13140/rg.2.2.12339.45603
title: GOLITSYN SURPRISED BY THE 7 KM TARTAR DITCH BLOCKING ISTHMUS OF PEREKOP
DOI: 10.13140/rg.2.2.19889.20324
title: STRATEGIC CONCEPT OF PETER THE GREATS PLAN
DOI: 10.13140/rg.2.2.18526.05441
title: PRODUKSI MEDIA CETAK KELOMPOK 6
DOI: 10.13140/rg.2.2.33310.97604
title: Magnesium and health -review Professor Tareq alasadi
DOI: 10.15468/dl.srrsv2
title: Occurrence Download

description: A dataset containing 13641 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fungi)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-120 52.5,-112.5 52.5,-112.5 60,-120 60,-120 52.5))"
 ]
}

 The dataset includes 13641 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042996-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.14489.03683
title: COVID 19 POWER POINT
DOI: 10.15468/dl.arayy6
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fungi)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-30 -60,-22.5 -60,-22.5 -52.5,-30 -52.5,-30 -60))"
 ]
}

 The dataset includes 125 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042997-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60941/cshs-6w02
title: Expression and function of Regulator of G Protein Signaling (RGS) proteins in physiological and pathophysiological conditions of the intestinal tract.

description: <p>G protein coupled receptors (GPCR) mediate a vast variety of critical biological processes ranging from proliferation and motility to cellular reception and excitability. GPCR signaling pathways are of particular importance for the pharmacy since it is estimated that they constitute approx. 25% of all druggable targets. Importantly, but not surprisingly, even a subtle imbalance in GPCR signaling often leads to profound consequences such as tolerance or nonresponse to drug. While a variety of GPCRs have been found and their role in health and disease has been well characterized, the intricate regulatory dynamics of G protein pathways and its influence on pathophysiology as well as drug-related effects remain elusive.</p><p><br /></p><p>The key family of regulators of GPCR signaling pathways are the Regulator of G protein Signaling (RGS) proteins. RGS proteins constitute a large family of proteins that promote G protein inactivation by facilitating their GTP hydrolysis thus ensuring timely inactivation of the GPCR responses. Many members of the RGS family have been clinically linked to human disease conditions.</p><p><br /></p><p>The major groups of GPCRs targeted by drugs in GI diseases are opioid receptors, serotonin receptors and cannabinoid receptors. Agonists and antagonists of those receptors serve in the therapy of disorders, such as irritable bowel syndrome, postoperative ileus, chronic constipation and diarrhea. Little is known about how the effect of those drugs is modulated by RGS proteins. In this project we examined the expression and function of the members of RGS protein family in the GI tract and by the use of genetic mouse models we evaluated how certain RGS proteins affect the action of drugs available on the market as well as compounds that did not pass the evaluation in the clinical trials due to their low efficacy or safety. We uncovered novel pharmacological targets downstream to GPCRs that could be blocked or enhanced as to achieve additional spatial or temporal selectivity compared with GPCR-targeted drugs.</p>
description: <p><br /></p><ol><li>Mouse models of DSS-induced colitis.</li><li>Measurement of myeloperoxidase activity (colorimetric).</li><li>Colonic bead expulsion test.</li><li>Mouse model of mustard oil-induced abdominal pain.</li><li>Measurement of visceromotor response to colorectal distention.</li><li>Mouse model of stress-induced hypermotility.</li><li>qPCR.</li><li>Histological evaluation of hematoxilin and eosin-stained tissue samples.</li><li>Fluorimetric measirement of fluorescein isothiocyanate in mouse serum.</li></ol><p><br /></p>
DOI: 10.13140/rg.2.2.34516.83844
title: Doctorate h.c Degree
DOI: 10.15468/dl.dqyvk8
title: Occurrence Download

description: A dataset containing 262 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((89.30635 19.51472,131.69365 19.51472,131.69365 36.48528,89.30635 36.48528,89.30635 19.51472))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Macaca thibetana"
 ]
}

 The dataset includes 262 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042998-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.19246.95046
title: Metáfora Conceptual GOBERNAR ES CAMINAR
DOI: 10.13140/rg.2.2.25118.97607
title: MiniSCOPE pediatric nickel-titanium rotary file system by Ekim O. ORHAN
DOI: 10.34894/2awfqt
title: 25.118 Dreumel - Over de Maas

description: Bij de inrichting van het natuurgebied “Over de Maas” is een grote hoeveelheid archeologisch vondstmateriaal aangetroffen. Eén van deze vondsten bleek een 4e eeuwse Romeinse brugpijler. Een vergelijkbare, nabije vondst deed vermoeden dat deze tweede paal een vergelijkbare functie en ouderdom had.
Op de ouderdom hiervan te bepalen is een dwarsdoorsnede aangeleverd voor dendrochronologisch onderzoek. Hieruit volgt een datering van de buitenste jaarring in 1527. Dit lijkt te corresponderen met de spinthoutgrens waarmee een kapjaar rond 1548 geschat kan worden. Een Romeinse ouderdom kan hiermee uitgesloten worden en daarmee rijst ook de vraag of het hier om een brugpijler gaat.
DOI: 10.15468/dl.tmukwk
title: Occurrence Download

description: A dataset containing 21637 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "Country is one of (United States of America, United States Minor Outlying Islands, American Samoa, Micronesia (Federated States of), Guam, Marshall Islands, Northern Mariana Islands, Puerto Rico, Palau, Virgin Islands (U.S.))",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 },
 {
 "and" : [
 "GadmGid is one of (USA.15_1)",
 "TaxonKey is one of (Amphibia)"
 ]
 }
 ]
}

 The dataset includes 21637 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026996-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vtbm7a
title: Occurrence Download

description: A dataset containing 1602 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Universidad de San Carlos de Guatemala - Colección de Moluscos"
 ]
}

 The dataset includes 1602 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026997-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8x7qe6
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhadinaea marcellae Taylor, 1949"
 ]
}

 The dataset includes 45 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027000-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fgh4p2
title: Occurrence Download

description: A dataset containing 26004 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Passiflora foetida L."
 ]
}

 The dataset includes 26004 records from 603 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026999-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hrkhaq
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alloposidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027002-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.