cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1215953.10fu
title: SH1215953.10FU

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/sh1215955.10fu
title: SH1215955.10FU

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/sh1215956.10fu
title: SH1215956.10FU

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/sh1215958.10fu
title: SH1215958.10FU

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/sh1215959.10fu
title: SH1215959.10FU

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/sh1215962.10fu
title: SH1215962.10FU

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: 10.3886/e243233
title: Provisional COVID-19 Deaths by County, and Race and Hispanic Origin

description: Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.

County data on race and Hispanic origin is available for counties with more than 100 COVID-19 deaths. Deaths are cumulative from the week ending January 4, 2020 to the most recent reporting week, and based on county of occurrence. Data is provisional.

Urban-rural classification is based on the 2013 National Center for Health Statistics Urban-Rural Classification Scheme for Counties (https://www.cdc.gov/nchs/data_access/urban_rural.htm).
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description: (Downloaded 1/10/2026)
DOI: 10.15156/bio/sh1215963.10fu
title: SH1215963.10FU

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/sh1215964.10fu
title: SH1215964.10FU

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: 10.3886/e243233v1
title: Provisional COVID-19 Deaths by County, and Race and Hispanic Origin

description: Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.

County data on race and Hispanic origin is available for counties with more than 100 COVID-19 deaths. Deaths are cumulative from the week ending January 4, 2020 to the most recent reporting week, and based on county of occurrence. Data is provisional.

Urban-rural classification is based on the 2013 National Center for Health Statistics Urban-Rural Classification Scheme for Counties (https://www.cdc.gov/nchs/data_access/urban_rural.htm).
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description: (Downloaded 1/10/2026)
DOI: 10.15156/bio/sh1215966.10fu
title: SH1215966.10FU

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/sh1215970.10fu
title: SH1215970.10FU

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: 10.6084/m9.figshare.28928390
title: NVH

description: KLTN
DOI: 10.6084/m9.figshare.28928390.v2
title: NVH

description: KLTN
DOI: 10.6084/m9.figshare.28928390.v1
title: KLTN NVH

description: KLTN
DOI: 10.15468/dl.eprawj
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Podopterus cordifolius",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 63 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011578-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x6gf4g
title: Occurrence Download

description: A dataset containing 19160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhus integrifolia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 19160 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011579-260129131611470/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.31249978
title: Raw data: <b>Reciprocal priority effects between host and associated microbial communities</b>

description: The datasets originate from controlled laboratory experiments investigating microbiome-mediated effects on community assembly and priority effects between two freshwater zooplankton species, <i>Daphnia magna</i> and <i>Daphnia pulicaria</i>. The experiments manipulated host arrival order and supplementation with host-conditioned medium to assess reciprocal effects between host community assembly and free-living bacterioplankton communities.Specifically, this item includes:Raw zooplankton count data and corresponding biomass estimates for <i>D. magna</i> and <i>D. pulicaria</i> across all experimental treatments and replicates16S rRNA gene metabarcoding data (Illumina MiSeq, V3–V4 region) characterizing bacterioplankton communities from host-conditioned medium monocultures and experimental aquariaAssociated metadata files for the sequences including pertinent information such as treatments, inoculation order, conditioned medium fractions, and sample identifiersSupplementary material (appendix) containing additional methodological details and supporting analysesThese data enable full reproducibility of the analyses presented in the manuscript and can be reused for comparative studies on priority effects, host–microbiome interactions, and microbial community assembly in freshwater systems.
DOI: 10.6084/m9.figshare.31249978.v2
title: Raw data: <b>Reciprocal priority effects between host and associated microbial communities</b>

description: The datasets originate from controlled laboratory experiments investigating microbiome-mediated effects on community assembly and priority effects between two freshwater zooplankton species, <i>Daphnia magna</i> and <i>Daphnia pulicaria</i>. The experiments manipulated host arrival order and supplementation with host-conditioned medium to assess reciprocal effects between host community assembly and free-living bacterioplankton communities.Specifically, this item includes:Raw zooplankton count data and corresponding biomass estimates for <i>D. magna</i> and <i>D. pulicaria</i> across all experimental treatments and replicates16S rRNA gene metabarcoding data (Illumina MiSeq, V3–V4 region) characterizing bacterioplankton communities from host-conditioned medium monocultures and experimental aquariaAssociated metadata files for the sequences including pertinent information such as treatments, inoculation order, conditioned medium fractions, and sample identifiersSupplementary material (appendix) containing additional methodological details and supporting analysesThese data enable full reproducibility of the analyses presented in the manuscript and can be reused for comparative studies on priority effects, host–microbiome interactions, and microbial community assembly in freshwater systems.
DOI: 10.6084/m9.figshare.31249978.v1
title: Raw counts, biomass measurements and 16S metabarcoding sequences with metadata file.

description: The datasets originate from controlled laboratory experiments investigating microbiome-mediated effects on community assembly and priority effects between two freshwater zooplankton species, <i>Daphnia magna</i> and <i>Daphnia pulicaria</i>. The experiments manipulated host arrival order and supplementation with host-conditioned medium to assess reciprocal effects between host community assembly and free-living bacterioplankton communities.Specifically, this item includes:Raw zooplankton count data and corresponding biomass estimates for <i>D. magna</i> and <i>D. pulicaria</i> across all experimental treatments and replicates16S rRNA gene metabarcoding data (Illumina MiSeq, V3–V4 region) characterizing bacterioplankton communities from host-conditioned medium monocultures and experimental aquariaAssociated metadata files for the sequences including pertinent information such as treatments, inoculation order, conditioned medium fractions, and sample identifiersSupplementary material (appendix) containing additional methodological details and supporting analysesThese data enable full reproducibility of the analyses presented in the manuscript and can be reused for comparative studies on priority effects, host–microbiome interactions, and microbial community assembly in freshwater systems.
DOI: 10.25824/redu/cwqdnr
title: Substratos sólidos nos sinais de emissão em LIBS

description: Dados da tese intitulada: EFEITO DO SUBSTRATO SÓLIDO NOS SINAIS DE EMISSÃO EM LIBS: Estratégias para determinação de íons Cu(II) e Mn(II) em águas. Cujo objetivo é avaliar diferentes substratos sólidos para a determinação de íons Cu(II) e Mn(II) utilizando a técnicas LIBS, em amostras de água do Estado do Amapá.
DOI: 10.5281/zenodo.18482176
title: AGRICULTURAL MARKETING IN DEVELOPED COUNTRIES, THE LEGAL BASIS OF THE ORGANIZATION

description: In this article the developed countries in the field of agricultural marketing in the legal basis of an analysis of the activities of the organization was. The release to market of agricultural products, the mechanisms of regulation by the state, the legislative base support methods and discusses the marketing strategy of the farm. Also, the national agricultural marketing system on the basis of advanced foreign experience on improvement of conclusions are given.
DOI: 10.5281/zenodo.18482177
title: AGRICULTURAL MARKETING IN DEVELOPED COUNTRIES, THE LEGAL BASIS OF THE ORGANIZATION

description: In this article the developed countries in the field of agricultural marketing in the legal basis of an analysis of the activities of the organization was. The release to market of agricultural products, the mechanisms of regulation by the state, the legislative base support methods and discusses the marketing strategy of the farm. Also, the national agricultural marketing system on the basis of advanced foreign experience on improvement of conclusions are given.
DOI: 10.5285/b00474cf-1a78-4775-8ec9-343cf1e62fb4
title: Raw acoustic data collected by an EK80 echo sounder in Stromness Bay, South Georgia during the cruise DY158 on 5 January 2023

description: Acoustic backscatter data were collected on board the RRS Discovery during cruise DY158 on 05/01/2023 in Stromness Bay, South Georgia. Data were collected using a Simrad EK80 echosounder at 18, 38, 120, 200 and 333 kHz.

Funding source: This work was carried out in the frame of WCB-POETS survey cruises, and the methane survey was funded by the Collaborative Antarctic Science Scheme (CASS).
description: Data were collected using a Simrad EK80 echosounder at 18, 38, 120, 200 and 333 kHz. The EK80 was calibrated on 04/01/2023 in Rosita Harbour, South Georgia. Standard calibration procedures were used and all frequencies, except the 333 kHz, were calibrated using a 38.1 mm tungsten carbide sphere. The 333 kHz was not calibrated, as previous attempts using a 20 mm sphere were unsuccessful due to the depths the sphere is at on Discovery versus the usable range. All calibrations were successful and uploaded to the transducers on completion with the exception of the 200 kHz transducer which had an RMS (root mean square) of 0.4, and the 333 kHz transducer which remains uncalibrated. The 200 kHz was reprocessed with a 1dB target window on target strength, resulting in an RMS of 0.2, which was accepted and uploaded to the system on 7/1/2023 12:21:25. More information about the calibration can be found in the Cruise Report for DY158: https://www.bodc.ac.uk/resources/inventories/cruise_inventory/reports/dy158.pdf.

The dataset comprises Simrad raw format files that have not undergone any processing or quality checking. The raw data files are stored by the Polar Data Centre (PDC) at BAS. Each .raw data file contains approximately 5 minutes of data and is approximately 100 MB in size. Each data file contains raw ping data with associated GPS fixes and date/time.
description: Data were collected using a Simrad EK80 echosounder at 18, 38, 120, 200 and 333 kHz.
description: Raw data (time, gps and acoustic) are not quality checked. The instrument was calibrated on 04/01/2023 in Rosita Harbour, South Georgia.
DOI: 10.15468/a2my3u
title: Corrections and additions to the catalogue of the digger wasps (Hymenoptera: Ampulicidae, Sphecidae, Crabronidae) of Russia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Mokrousov, Mikhail V., Proshchalykin, Maxim Yu. (2025): Corrections and additions to the catalogue of the digger wasps (Hymenoptera: Ampulicidae, Sphecidae, Crabronidae) of Russia. Zootaxa 5728 (3): 401-450, DOI: 10.11646/zootaxa.5728.3.1, URL: https://doi.org/10.11646/zootaxa.5728.3.1AbstractThe present study is an update to the first catalogue of Russian digger wasps published in 2017. Six species are new: Lindenius marsianus, Miscophus globiceps, M. lyubae, M. mesocontinentalis, M. schmideggeri, and M. volgensis. Miscophus rasilis Kazenas, 1993 is newly synonymized with M. eximius Gussakovskij, 1934. New records are provided for eleven species previously unknown from Russia. Five recently described species are reported, as well as thirteen species newly recorded since the 2017 Catalogue, five species and three published synonymies overlooked in that Catalogue.Additionally, four species are excluded from the Catalogue and numerous taxonomic changes and clarifications are included. The present work updates the total number of digger wasps genera for Russia to 88 and the total number of species to 729 (Ampulicidae 2/4, Sphecidae 11/72, Crabronidae 75/653).
DOI: 10.5281/zenodo.18458166
title: CC Molecular Dynamics of Water
DOI: 10.5281/zenodo.18458167
title: CC Molecular Dynamics of Water
DOI: 10.5281/zenodo.18482107
title: Cohorts analysis

description: Anonymised datasets and complete statistical outputs (ANOVA/Tukey) of AI students usage. Four cohorts analysis; from 2022/23 academic year to 2025/26 academic year.
DOI: 10.5281/zenodo.18482108
title: Cohorts analysis

description: Anonymised datasets and complete statistical outputs (ANOVA/Tukey) of AI students usage. Four cohorts analysis; from 2022/23 academic year to 2025/26 academic year.