cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17026/dans-27a-m5kk
title: Transect-rapport 2372: Hedikhuizen, Kerkstraat 17. Gemeente Heusden. Archeologisch bureauonderzoek (BO) en inventariserend veldonderzoek (IVO), verkennende fase.

description: &lt;p&gt;In september 2019 is een archeologisch vooronderzoek uitgevoerd in een plangebied aan de Kerkstraat 17 in Hedikhuizen (gemeente Heusden). De aanleiding voor het onderzoek vormt de realisatie van twee bouwkavels in een bestaand perceel met een oppervlak van circa 8500 m2. In totaal beslaat het plangebied een oppervlakte van 1600 m2.&lt;/p&gt;
DOI: 10.3535/d4p-yet-9dq
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xtw-z0h-78m
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/03x-719-q88
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kpq-hbw-vww
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/y34-j1l-jy1
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17026/dans-27a-mqaj
title: Plangebied centrumplan, locatie 1 en 2, gemeente Groesbeek

description: &lt;p&gt;onderzoeksrapport&lt;/p&gt;
DOI: 10.3535/7pl-n11-h3e
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/crt-zfy-1xx
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1w2-0jx-wxh
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/k30-lhp-gr4
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17026/dans-27a-msyr
title: Transect-rapport 3816: Ottoland, Polderweg 1. Gemeente Molenlanden (ZH). Een Archeologisch Inventariserend Veldonderzoek door middel van Proefsleuven (IVO-P), karterende en waarderende fase.

description: &lt;p&gt;Tijdens het proefsleuvenonderzoek zijn drie proefsleuven aangelegd, met een oppervlakte van in totaal circa 250 m2 (ongeveer 9% van het plangebied). Er zijn geen archeologische resten (sporen en vondsten) aangetroffen. De ligging op een crevasse van de Schoonrewoerd stroomrug is tijdens het onderzoek wel bevestigd.&lt;/p&gt;&lt;p&gt;In de top van de crevasseafzettingen is in het plangebied, net als in de omgeving, sprake van een vegetatiehorizont. Deze is afgedekt door een laagje veraard rietveen. De veraarding van het veen is vermoedelijk veroorzaakt door de ontginningen in de 11e-13e eeuw, waarbij het landschap werd opgedeeld in strookverkavelingen. In het plangebied zelf zijn geen sporen van de ontginningen aangetroffen. De verkavelingssloten hebben vermoedelijk altijd net buiten het plangebied gelegen.&lt;/p&gt;
description: Date Submitted: 2022-08-09
DOI: 10.3535/sgv-w06-5x7
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8hb-n7y-shc
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15156/bio/sh1097731.10fu
title: SH1097731.10FU

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/sh1097734.10fu
title: SH1097734.10FU

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/sh1097743.10fu
title: SH1097743.10FU

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/sh1097745.10fu
title: SH1097745.10FU

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: 10.21227/tq4y-yj22
title: "Causal Structure Graph-Guided Symbolic Regression and Derivative-Based Robust Operation Optimization for Spinning Process"

description: "Causal Structure Graph-Guided Symbolic Regression and Derivative-Based Robust Operation Optimization for Spinning Process"
DOI: 10.15156/bio/sh1097747.10fu
title: SH1097747.10FU

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/sh1097748.10fu
title: SH1097748.10FU

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/sh1097750.10fu
title: SH1097750.10FU

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/sh1097756.10fu
title: SH1097756.10FU

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.radt6r
title: Occurrence Download

description: A dataset containing 276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphydryas editha",
 "Year 1910-1955"
 ]
}

 The dataset includes 276 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001943-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j5wpdj
title: Occurrence Download

description: A dataset containing 2712 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphydryas editha",
 "Year 1980-2025"
 ]
}

 The dataset includes 2712 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001944-251025141854904/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.30383032.v1
title: High-Resolution LAB Structure of Eastern South China Block: Implications for the Late Mesozoic Lithospheric Thinning

description: The files are the datasets for the manuscript entitled "High-Resolution LAB Structure of Eastern South China Block: Implications for the Late Mesozoic Lithospheric Thinning" by Zhang et al., including processed P- and S-wave receiver functions, CCP stacking results and LAB depths used in the manuscript. The files named PsRFs.tar and SpRFs.tar contain P- and S-wave receiver functions for 370 stations, which are saved in SAC format. Station and event information are preserved in the header files. The Gaussian parameter 2.5 for P-RFs and 2.0 for S-RFs. The file named ccp3D.tar contains the CCP stacking datasets for both P-wave (ccp3D_PsRF.b) and S-wave (ccp3D_SpRF.b) receiver functions. The data is stored in binary format, structured as follows:<b>Imaging Volume:</b> Longitude, latitude, depth (6 float values: min_lon, max_lon, min_lat, max_lat, min_depth, max_depth)<b>Grid Spacing:</b> Longitude, latitude, depth (3 float values: d_lon, d_lat, d_depth)<b>Grid Point Count:</b> Longitude, latitude, depth (3 int32 values: n_lon, n_lat, n_depth)<b>Amplitude per Grid Point:</b> Values stored in the order of longitude, latitude, and depth.<b>Ray Count per Grid Point:</b> Values stored in the order of longitude, latitude, and depth.The file named LAB_depth.tar.gz contains lithosphere-asthenosphere boundary (LAB) depth distributions for eastern South China block and eastern China. The data are stored in text format. The LAB depth values for <b>eastern South China (south of 33°N)</b> are derived from this study. The LAB depth values for <b>eastern China</b> incorporate data from both <b>eastern South China (south of 33°N, this study)</b> and <b>eastern North China (north of 35°N, Yang et al., 2019)</b>.<br><br>
DOI: 10.15468/dl.7utr2j
title: Occurrence Download

description: A dataset containing 561 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bruguiera sexangula"
 ]
}

 The dataset includes 561 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001945-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uws5ay
title: Occurrence Download

description: A dataset containing 271 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Whitmania pigra"
 ]
}

 The dataset includes 271 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001946-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tewpqj
title: Occurrence Download

description: A dataset containing 3482 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ochotona princeps",
 "Year 1910-1955"
 ]
}

 The dataset includes 3482 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001948-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.59mahb
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agouticarpa spinosa"
 ]
}

 The dataset includes 29 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001949-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6se3e7
title: Occurrence Download

description: A dataset containing 3150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Musa acuminata"
 ]
}

 The dataset includes 3150 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001947-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9tz7en
title: Occurrence Download

description: A dataset containing 10399 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ochotona princeps",
 "Year 1980-2025"
 ]
}

 The dataset includes 10399 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001950-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h9pwcj
title: Occurrence Download

description: A dataset containing 13009 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Scaevola taccada"
 ]
}

 The dataset includes 13009 records from 149 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001951-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.avua69
title: Occurrence Download

description: A dataset containing 5682 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "Geometry POLYGON((-128.67154 28.8158,-57.35178 28.8158,-57.35178 53.39692,-128.67154 53.39692,-128.67154 28.8158))",
 "TaxonKey is Bromus tectorum"
 ]
}

 The dataset includes 5682 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001952-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17452612
title: COVID-19-Hospitalisierungen in Deutschland

description: Im Datensatz "COVID-19-Hospitalisierungen in Deutschland" des Robert Koch-Institutswerden täglich aktualisierte Informationen zu Hospitalisierungen im Zusammenhang mit COVID-19 basierend auf den Meldungen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Neben tagesaktuellen Fallzahlen und Inzidenzen auf Bundes- und Länderebene enthält der Datensatz auch modellgestützte Schätzungen verzögert gemeldeter Hospitalisierungen mittels Nowcasting. Ziel ist es, die tatsächliche Belastung des Gesundheitssystems durch COVID-19 besser abzubilden, insbesondere durch die Berechnung adjustierter 7-Tage-Hospitalisierungsinzidenzen.
DOI: 10.15468/dl.ehqbfb
title: Occurrence Download

description: A dataset containing 31752 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Manihot esculenta"
 ]
}

 The dataset includes 31752 records from 348 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001953-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17452552
title: Open Data_Analisis Pengaruh Pemanfaatan Media Sosial dan E-Commerce terhadap Strategi Digital Marketing dalam Upaya Meningkatkan Kinerja UMKM di Era Transformasi Digital
DOI: 10.5281/zenodo.17452553
title: Open Data_Analisis Pengaruh Pemanfaatan Media Sosial dan E-Commerce terhadap Strategi Digital Marketing dalam Upaya Meningkatkan Kinerja UMKM di Era Transformasi Digital
DOI: 10.15468/dl.gc87pd
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hidejiodrilus koreanus"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001954-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3a2mvz
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Irmengardia johnsoni",
 "Country is Singapore",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 49 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001955-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8xhuh3
title: Occurrence Download

description: A dataset containing 356912 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is e2e717bf-551a-4917-bdc9-4fa0f342c530",
 "TaxonKey is Zosterops palpebrosus"
 ]
}

 The dataset includes 356912 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001939-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xabdde
title: Occurrence Download

description: A dataset containing 1729 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Salvia iodantha"
 ]
}

 The dataset includes 1729 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001956-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.