cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7807/microm:v14
title: Sozioökonomische Daten auf Rasterebene (Welle 14)
title: Socio-economic data on grid level (wave 14)

description: Der RWI-GEO GRID-Datensatz basiert auf knapp 220 000 1x1 km Rasterzellen in denen Wohn- und Gewerbeimmobilien vorzufinden sind. Für diese Raster werden sozioökonomische Daten zur Verfügung gestellt. Für jede Rasterzelle enthält der Datensatz eine Vielzahl von Variablen zu den Haushalten, der Haushaltsstruktur, der Demografie, dem Ausländeranteil, der Mobilität, der Kaufkraft sowie der Arbeitslosenquote und dem Kreditausfallrisiko. Die Daten sind aktuell für die Jahre 2005 und 2009-2022 erhältlich.
description: The RWI-GEO GRID dataset is based on almost 220,000 1x1 km grid cells in which residential and commercial properties are located. Socio-economic data is provided for these grids. For each grid cell, the data set contains a large number of variables on households, household structure, demographics, the proportion of foreigners, mobility, purchasing power, unemployment rate and credit default risk. The data is currently available for the years 2005 and 2009-2022.
description: RWI-GEO-GRID
description: RWI-GEO-GRID
description: Aggregation
description: In die Datenerstellung fließen mehr als eine Milliarde Einzelinformationen ein. Diese Daten liegen anonymisiert vor und werden von mehreren Quellen bezogen. Die einfließenden Daten liegen grundsätzlich für sämtliche 40.9 Mio. Haushalte in Deutschland vor und werden für die rund 20 Mio. Häuser ausgewiesen.
description: Microm uses more than a billion individual datapoints for the aggregation of the microm dataset. These are anonymised and stem from various data sources. The datatapoints are are available for all 40.9 million households in Germany, while the final data product contains information on approximately 20 million houses.
description: Aus Gründen des Datenschutzes werden mehrere zu einem Wohnfeld gehörende Häuser zu einer sogenannten Mikozelle zusammengeführt. Diese Mikozellen beinhalten mindestens fünf, durchschnittlich acht Haushalte. Dabei bilden größere Häuser, in denen mehr als fünf Haushalte leben ihr eigenes Segment. Häuser mit weniger als fünf Haushalten werden mit vergleichbaren Häusern in der gleichen Straße zusammengefasst, so dass die Mikrozelle dann mindestens fünf Haushalte umfasst. Die zusammengefassten Häuser weisen eine größtmögliche räumliche Nähe auf. Zudem werden Strukturindikatoren für die jeweilige Mikrozelle verdichtet, und die Information wieder pro Haushalt als Datei aufbereitet. Wann immer dies möglich ist, werden die errechneten Daten mit anderen Datenquellen wie beispielsweise amtlichen Daten, die auf einer höheren Aggregationsstufe vorliegen, abgeglichen.
DOI: 10.15468/dl.44tzze
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((24.04586 62.0233,25.47665 62.0233,25.47665 62.60035,24.04586 62.60035,24.04586 62.0233))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Castor",
 "Year 2015-2025"
 ]
}

 The dataset includes 54 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052586-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/26805
title: Chandra X-ray Observatory ObsId 26805

description: Chandra's Crucial Role in Identifying a Robust and Practical Accretion-Rate Indicator for Quasars
DOI: 10.6084/m9.figshare.30427999
title: Table S3. Complete sample metadata with accession numbers for amplicon and shotgun sequencing raw data, and corresponding JGI IMG/MER portal accessions.

description: This table accompanies the data descriptor submitted to Scientific Data titled: Seasonality of composition, genomic potential and activity of coniferous forest soil microbiomes.The table contains complete sample data, including sampling dates, sample location, soil habitat sampled and additionally NCBI SRA accession numbers for ITS2, 16S rRNA, Universal 18S rRNA, Cercozoa-specific 18S rRNA, Metagenome and Metatranscriptome raw data. In addition we provide JGI IMG/MER portal accession numbers for metatranscriptome assemblies.
DOI: 10.6084/m9.figshare.30427999.v1
title: Table S3. Complete sample metadata with accession numbers for amplicon and shotgun sequencing raw data, and corresponding JGI IMG/MER portal accessions.

description: This table accompanies the data descriptor submitted to Scientific Data titled: Seasonality of composition, genomic potential and activity of coniferous forest soil microbiomes.The table contains complete sample data, including sampling dates, sample location, soil habitat sampled and additionally NCBI SRA accession numbers for ITS2, 16S rRNA, Universal 18S rRNA, Cercozoa-specific 18S rRNA, Metagenome and Metatranscriptome raw data. In addition we provide JGI IMG/MER portal accession numbers for metatranscriptome assemblies.
DOI: 10.7807/microm:suf:v14
title: Sozioökonomische Daten auf Rasterebene - Scientific Use File (Welle 14)
title: Socio-economic data on grid level - Scientific Use File (wave 14)

description: Der RWI-GEO GRID-Datensatz basiert auf knapp 220 000 1x1 km Rasterzellen in denen Wohn- und Gewerbeimmobilien vorzufinden sind. Für diese Raster werden sozioökonomische Daten zur Verfügung gestellt. Für jede Rasterzelle enthält der Datensatz eine Vielzahl von Variablen zu den Haushalten, der Haushaltsstruktur, der Demografie, dem Ausländeranteil, der Mobilität, der Kaufkraft sowie der Arbeitslosenquote und dem Kreditausfallrisiko. Die Daten sind aktuell für die Jahre 2005 und 2009-2022 erhältlich.
description: The RWI-GEO GRID dataset is based on almost 220,000 1x1 km grid cells in which residential and commercial properties are located. Socio-economic data is provided for these grids. For each grid cell, the data set contains a large number of variables on households, household structure, demographics, the proportion of foreigners, mobility, purchasing power, unemployment rate and credit default risk. The data is currently available for the years 2005 and 2009-2022.
description: RWI-GEO-GRID
description: RWI-GEO-GRID
description: Aggregation
description: In die Datenerstellung fließen mehr als eine Milliarde Einzelinformationen ein. Diese Daten liegen anonymisiert vor und werden von mehreren Quellen bezogen. Die einfließenden Daten liegen grundsätzlich für sämtliche 40.9 Mio. Haushalte in Deutschland vor und werden für die rund 20 Mio. Häuser ausgewiesen.
description: Microm uses more than a billion individual datapoints for the aggregation of the microm dataset. These are anonymised and stem from various data sources. The datatapoints are are available for all 40.9 million households in Germany, while the final data product contains information on approximately 20 million houses.
description: Aus Gründen des Datenschutzes werden mehrere zu einem Wohnfeld gehörende Häuser zu einer sogenannten Mikozelle zusammengeführt. Diese Mikozellen beinhalten mindestens fünf, durchschnittlich acht Haushalte. Dabei bilden größere Häuser, in denen mehr als fünf Haushalte leben ihr eigenes Segment. Häuser mit weniger als fünf Haushalten werden mit vergleichbaren Häusern in der gleichen Straße zusammengefasst, so dass die Mikrozelle dann mindestens fünf Haushalte umfasst. Die zusammengefassten Häuser weisen eine größtmögliche räumliche Nähe auf. Zudem werden Strukturindikatoren für die jeweilige Mikrozelle verdichtet, und die Information wieder pro Haushalt als Datei aufbereitet. Wann immer dies möglich ist, werden die errechneten Daten mit anderen Datenquellen wie beispielsweise amtlichen Daten, die auf einer höheren Aggregationsstufe vorliegen, abgeglichen.
DOI: 10.15468/dl.b8jr4k
title: Occurrence Download

description: A dataset listing the 9 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Canada",
 "Country is Canada"
 ]
 },
 "TaxonKey is one of (Picea mariana [GBIF Backbone Taxonomy])"
 ]
}

 The dataset's 9 records were derived from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052573-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6092/unibo/amsacta/8581
title: WRITE. On Sounds of Ink Exhibition. Dataset

description: The current dataset is associated with the Open Access publication “On 'Sounds of Ink: Luo Qi and Thirty Years of Calligraphyism' Exhibition: A Journey through Eight Thousand Verses, Silent Melodies and Sound Images” / “水墨的声音：洛齐与三十年的书法主义”展览 在《八千颂歌》、《无声之歌》和《声音的图像》之间漫步”, in A. Iezzi (ed.) “Sounds of Ink: Lou Qi and 30 Years of Calligraphyism / 水墨的声音—洛齐与书法主义30年”, 2025, Bologna: Bologna University Press). It collects the metadata descriptions of the main artworks analyzed in the publication as formalized in the “WRITE digital archive”, that is the semantic web digital archive of the WRITE project (G.A. 949645). Among them, one file contains the metadata related to the author of these artworks (Luo Qi), and the other three contain the metadata related to the artwork(s) itself, their Calli-Writing Unit(s) (CWU – artwork content unit with calligraphic features), the series they belong to and the exhibitions where they were exhibited. The artworks were selected from a large number of works included in the archive as those displayed in the exhibition “Sounds of Ink: Lou Qi and 30 Years of Calligraphyism” that is the core of the whole book. The dataset also includes the transcription of the artist’s interview and the document “关于《福洛寿》作品” sent by the artist (20.03.2019) cited in the publication.
DOI: 10.71819/nmog8j
title: CAJ | Monitoramento da Fauna Aquática - Espinheiros - Setembro 2025

description: Monitoramento de fauna baia da babitonga
DOI: 10.25824/redu/zhadbu
title: Dataset from the PhD thesis "Bioacessibilidade de peptídeos bioativos veiculados em nanopartículas baseadas em complexos quitosana/lectina"

description: This dataset is associated with the development and physicochemical characterization of chitosan/navy bean extract nanoparticles obtained through different strategies for vehiculating insulin. The nanoparticles were also evaluated by in vitro digestibility to evaluate their potential in delivering insulin. Os dados não podem ser disponibilizados por questões de proteção intelectual. Para mais informações, contatar os responsáveis.
DOI: 10.15468/dl.5x3sue
title: Occurrence Download

description: A dataset containing 669047 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "OccurrenceStatus is Present",
 "TaxonKey is Phoxinus phoxinus",
 "Year 2005-2025"
 ]
}

 The dataset includes 669047 records from 193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052564-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k4v85h
title: Occurrence Download

description: A dataset containing 1060649 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Salvia namaensis, Salvia nemorosa, Pterostylis elegans, Ophioglossum coriaceum, Agave, Pterostylis scabra, Cistus grancanariae, Anthotium odontophyllum, Cistus lasianthus, Cistus parviflorus, Cistus verguinii, Bellis perennis, Isatis sivasica, Rosa verticillacantha, Cousinia humilis, Hieracium neyranum, Hieracium olympicum, Hieracium oroamplexicaule, Hieracium umbellatum, Hieracium crepidispermum, Cistus atriplicifolius, Hieracium chalcidicum, Hieracium saxatile, Hieracium neoqueraltense, Pterostylis cheraphila, Pterostylis longipetala, Pterostylis pedoglossa, Pterostylis spathulata, Salvia accidentalis, Verbena gynobasis, Asperula oblanceolata, Ipomoea pedicellaris, Hieracium ramosissimum, Lachnaea pedicellata, Arabis lycia, Arabis stellulata, Cotoneaster laxiflorus, Hieracium argutum, Gundelia rosea, Hieracium geniceranum, Hieracium glaucophyllum, Antennaria caucasica, Pentzia viridis, Rosa hemisphaerica, Hieracium abscissum, Asperula setosa, Calytrix superba, Salvia barrelieri, Agave aurea, Ipomoea seducta, Hieracium isatifolium, Salvia mexicana, Avena macrostachya, Saccharum griffithii, Domeykoa oppositifolia, Grammitis heterophylla, Hieracium metallicorum, Hieracium phlomoides, Hieracium bombycinum, Hieracium cistiernense, Hieracium colorhizum, Lachnophyllum noeanum, Manihot chlorosticta, Salvia limbata, Salvia mouretii, Agave multifilifera, Agave pedunculifera, Desmidorchis retrospiciens, Kundmannia syriaca, Leucanthemopsis boissieri, Schwantesia herrei, Turraea pubescens, Cheiranthera telfordii, Cheiranthera brevifolia, Cistus matritensis, Cistus sintenisii, Isatis pinnatiloba, Isatis spectabilis, Satyrium eurycalcaratum, Cotoneaster morulus, Cotoneaster nummularius, Hieracium lanseanum, Hieracium sajambrense, Hieracium schefferi, Hieracium elisaeanum, Hieracium gusinjense, Hypochaeris arachnoides, Hypochaeris facchiniana, Arabis davisii, Arabis tunetana, Nolana sessiliflora, Hieracium fritschianum, Hieracium leiopogon, Argyranthemum gracile, Ophioglossum bergianum, Pterostylis aspera, Pterostylis falcata, Pterostylis lingua, Pterostylis truncata, Verbena gracilis)",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 1060649 records from 3703 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052568-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive211.20241212.9.2
title: Trueperella pyogenes (Glage 1903) Yassin et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive211.20251217.10
title: Trueperella pyogenes (Glage 1903) Yassin et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0068554.10fu
title: SH0068554.10FU

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: 10.13145/bacdive212.20250331.9.3
title: Trueperella pyogenes (Glage 1903) Yassin et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive212.20251217.10
title: Trueperella pyogenes (Glage 1903) Yassin et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0068555.10fu
title: SH0068555.10FU

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: 10.13145/bacdive213.20241212.9.2
title: Trueperella bernardiae (Funke et al. 1995) Yassin et al. 2011 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0068556.10fu
title: SH0068556.10FU

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: 10.13145/bacdive213.20251217.10
title: Trueperella bernardiae (Funke et al. 1995) Yassin et al. 2011 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive214.20250331.9.3
title: Trueperella bernardiae (Funke et al. 1995) Yassin et al. 2011 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0068557.10fu
title: SH0068557.10FU

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: 10.13145/bacdive214.20251217.10
title: Trueperella bernardiae (Funke et al. 1995) Yassin et al. 2011 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive215.20241212.9.2
title: Trueperella bernardiae (Funke et al. 1995) Yassin et al. 2011 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0068558.10fu
title: SH0068558.10FU

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: 10.13145/bacdive215.20251217.10
title: Trueperella bernardiae (Funke et al. 1995) Yassin et al. 2011 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0068559.10fu
title: SH0068559.10FU

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: 10.13145/bacdive216.20250331.9.3
title: Trueperella bialowiezensis (Lehnen et al. 2006) Yassin et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive216.20251217.10
title: Trueperella bialowiezensis (Lehnen et al. 2006) Yassin et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.