cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0000586.10fu
title: SH0000586.10FU

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/sh0000587.10fu
title: SH0000587.10FU

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/sh0000588.10fu
title: SH0000588.10FU

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/sh0000589.10fu
title: SH0000589.10FU

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/sh0000590.10fu
title: SH0000590.10FU

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/sh0000591.10fu
title: SH0000591.10FU

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/sh0000592.10fu
title: SH0000592.10FU

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/sh0000593.10fu
title: SH0000593.10FU

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/sh0000594.10fu
title: SH0000594.10FU

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.g5nmew
title: Occurrence Download

description: A dataset containing 373616 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Capsella bursa-pastoris)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 373616 records from 2476 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074276-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uw7r24
title: Occurrence Download

description: A dataset containing 7244750 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Occurrence Data of Vascular Plants collected or compiled for the Flora of Bavaria"
 ]
}

 The dataset includes 7244750 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018294-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zustqg
title: Occurrence Download

description: A dataset containing 7549013 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Floristic records from survey studies of the Bayerisches Landesamt für Umwelt"
 ]
}

 The dataset includes 7549013 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018293-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15472/rya8v8
title: Colección de escarabajos (Insecta: Coleoptera) del Centro de Colecciones Biológicas de la Universidad del Magdalena

description: El Centro de Colecciones Biológicas de la Universidad del Magdalena (CBUMAG) se constituyó formalmente en julio del año 2013 y obtuvo su registro ante el Instituto Humboldt en febrero de 2014 (Registro Nacional de Colecciones - RNC: 207). El CBUMAG se encuentra en una fase de consolidación, con un gran número de ejemplares catalogados y organizados en las diferentes colecciones, al que se suma el constante crecimiento con los depósitos de ejemplares hechos principalmente por los estudiantes de la Universidad del Magdalena a partir de sus trabajos de investigación, la misión es promover la preservación y curaduría de los ejemplares depositados en el mismo, desarrollar trabajos de investigación en taxonomía, sistemática, biogeografía y bioprospección con el fin de dar a conocer y promover el conocimiento sobre la biodiversidad de la región Caribe y sus usos potenciales.
description: Este set de datos contiene información de los coleópteros depositados en la Colección Entomológica de la Universidad del Magdalena. Los especímenes de los que proceden los registros están montados en seco o preservados en frascos con etanol y proceden del Caribe colombiano, departamentos de Atlántico, Bolívar, Cesar, Córdoba, La Guajira, Magdalena y Sucre.
description: Se presentan 4.828 registros de coleópteros agrupados en 24 familias y 3 superfamilias, siendo Passalidae, Scarabaeidae y Curculionidae las familias con mayor cantidad de registros. Los especímenes fueron identificados en su mayoría a nivel de especie, género y familia, y en menor proporción a nivel de tribu, subfamilia, subtribu, subgénero y superfamilia. Todos los especímenes provienen de colectas realizadas entre los años 2001 y 2023 en 41 municipios del caribe colombiano
DOI: 10.15468/dl.tr2su2
title: Occurrence Download

description: A dataset containing 7076556 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Great Backyard Bird Count"
 ]
}

 The dataset includes 7076556 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018295-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13625107
title: Ammonia oxidation and urea oxidation in Chesapeake Bay and in the global ocean

description: Two datasets are included in this submission. One dataset contains newly meausured ammonia oxidation, urea oxidation, nitrous oxide production from ammonium and urea in Chesapeake Bay, one of the largest estuaries in the world. The other dataset contains compiled observations of ammonia oxidation, urea oxidation, qPCR analysis of amoA and ureC gene abundance in the global ocean from previous studies. 

Tang, W., C. Hexter, R. Dai, et al. 2025. “ Substrate Effect on the Contribution of Ammonium and Urea to Marine Nitrification and Nitrous Oxide Production.” Environmental Microbiology 27, no. 10: e70187. https://doi.org/10.1111/1462-2920.70187.
DOI: 10.5281/zenodo.15223777
title: Ammonia oxidation and urea oxidation in Chesapeake Bay and in the global ocean

description: Two datasets are included in this submission. One dataset contains newly meausured ammonia oxidation, urea oxidation, nitrous oxide production from ammonium and urea in Chesapeake Bay, one of the largest estuaries in the world. The other dataset contains compiled observations of ammonia oxidation, urea oxidation, qPCR analysis of amoA and ureC gene abundance in the global ocean from previous studies. 

Tang, W., C. Hexter, R. Dai, et al. 2025. “ Substrate Effect on the Contribution of Ammonium and Urea to Marine Nitrification and Nitrous Oxide Production.” Environmental Microbiology 27, no. 10: e70187. https://doi.org/10.1111/1462-2920.70187.
DOI: 10.15468/dl.tbescd
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficopomatus enigmaticus (Fauvel, 1923)",
 "Country is Uruguay",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006587-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.45pmz6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platycorystes isenbeckii J.F.Brandt, 1848",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006589-241126133413365/datasets/export for details.
DOI: 10.17026/dans-23c-6j75
title: gereviewde datasets in EASY
title: peer reviewed datasets in EASY

description: Peer review en recensies beperken zich doorgaans tot wetenschappelijke publicaties. De databestanden waarop wetenschappelijk onderzoek is gebaseerd, worden zelden expliciet besproken en beoordeeld door collega-onderzoekers. DANS denkt dat dataset-reviews een belangrijk hulpmiddel kunnen vormen voor onderzoekers die data van anderen willen gebruiken. De waardering en de kritiek van collega-onderzoekers bieden een nieuw perspectief op de data en geven een indicatie van de kwaliteit. Ook kunnen ze bijdragen aan discussies over datasets, en de vorming van communities van onderzoekers rond datacollecties bevorderen.

Daarom voert DANS een pilotonderzoek uit onder afnemers van datasets uit DANS EASY: zij kregen het verzoek om een door hen gedownloade dataset te beoordelen. Dit gebeurt in de vorm van een online-vragenlijst. Bij de bestanden van deze dataset staat een overzicht van gereviewde datasets en een publicatie over DANS’ pilotonderzoek. 

-X-X-X-

Peer review is usually restricted to research publications. The data upon which the research is based is seldom explicitly discussed and assessed by fellow researchers. DANS considers data reviews an important instrument for researchers who are interested in using other researchers’ data. Appreciation and comments from fellow researchers offer a new perspective on the data, as well as an indication of the data quality. This feedback can also add to discussions on datasets, and contribute to the formation of researcher communities around specific datasets.

Therefore DANS is carrying out a pilot project among users of datasets from DANS EASY: A group of users has been requested to review the dataset they downloaded. Below you’ll find references to peer-reviewed datasets and to a publication about the pilot project.
The files of this dataset include an overview of reviewed datasets and a publication about DANS' pilot research.
DOI: 10.17026/dans-28z-njxq
title: Data Seal of Approval (DSA)

description: The Data Seal of Approval (DSA) is a certification for repositories which in 2018 together with the ICSU Word Data System (WDS) was merged into CoreTrustSeal (https://www.coretrustseal.org/about/). The Data Seal of Approval gives data producers the assurance that their data and associated materials will be stored in a reliable manner and can be reused. It provides funding bodies with the confidence that data will remain available for reuse and their investments will not be lost. It also enables data consumers to assess repositories where data are held and supports data repositories in archiving and distribution data efficiently. 
The dataset provided in EASY serves the purpose to carry out research on data management and its standards as custom at organizations around the world. It contains the totality of seals granted to organizations, supplemented by documentation about the application and review process, the archived official website of DSA and information about the development and maintenance of DSA.
DOI: 10.17026/dans-2zd-fzdt
title: Liana community inventory (2014-2019) in a 20 ha permanent plot in Xishuangbanna, Southwest China

description: Liana community inventory (2014-2019) for each 1-ha subplot in a 20-ha permanent plot in Xishuangbanna, Southwest China.
DOI: 10.17026/dans-x4m-eda2
title: Neo4j graph dump of academic publication data

description: This dataset is a Neo4j graph dump, containing academic biographic publication data in the field of computing sciences. This is an integrated dataset from publicly available data from DBLP, OpenCitations and from the websites of ACM and Springer LNCS.
DOI: 10.17026/dans-x6y-4r7q
title: FAIRsFAIR (Fostering FAIR Data Practices in Europe) Project outputs

description: This dataset contains the output from the FAIRsFAIR project.
DOI: 10.17026/dans-x7a-k47k
title: Microdrone-based Indoor Mapping with Graph SLAM

description: Unmanned aerial vehicles offer a safe and fast approach to the production of three-dimensional spatial data on the surrounding space. In this article, we present a low-cost SLAM-based drone for creating indoor exploration maps of building interiors. The focus is on emergency response mapping in inaccessible or potentially dangerous places. For this purpose, we used a quadcopter microdrone equipped with laser range finders (1D scanners) and an optical sensor for mapping and positioning. The employed SLAM is designed to map indoor spaces with planar structures through graph op-timization. It performs loop-closure detection and correction to recognize previously visited places and correct the accumulated drift over time. The proposed methodology was validated for several indoor environments. We investigated the performance of our drone against a multi-layer LI-DAR-carrying macrodrone, a vision-aided navigation helmet, and ground truth obtained with a terrestrial laser scanner. The experimental results indicated that our SLAM system is capable of creating quality exploration maps of small indoor spaces, and handling of the loop-closure problem. The accumulated drift without loop closure was on average 1.1% (0.35 m) over a 31 m long ac-quisition trajectory. Moreover, the comparison results demonstrated that our flying microdrone provided a comparable performance to the multi-layer LIDAR-based macrodrone given the low deviation between the point clouds built by both drones. About 85 % of the cloud-to-cloud distances were less than 10 cm.
DOI: 10.17026/dans-zjf-q3fc
title: The water system vulnerability change and future prospects of Perth, Australia

description: This master thesis investigated the change in water vulnerability for the city of Perth comparing the periods around 1975 with 2019. Furthermore, it assessed if the current water management is future proof for around 2050.