cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh466563.07fu
title: SH466563.07FU

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/sh466564.07fu
title: SH466564.07FU

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/sh1834767.08fu
title: SH1834767.08FU

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/sh1834768.08fu
title: SH1834768.08FU

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/sh466565.07fu
title: SH466565.07FU

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/sh466566.07fu
title: SH466566.07FU

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/sh1834769.08fu
title: SH1834769.08FU

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.enkphq
title: Occurrence Download

description: A dataset containing 1422463 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Issue is one of (Zero coordinate, Coordinate out of range, Coordinate invalid, Coordinate rounded, Geodetic datum invalid, Geodetic datum assumed WGS84, Coordinate reprojected, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate accuracy invalid, Coordinate precision invalid, Coordinate uncertainty meters invalid, Coordinate precision/uncertainty mismatch, Footprint SRS invalid, Footprint WKT mismatch, Footprint WKT invalid, Country coordinate mismatch, Country mismatch, Country invalid, Country derived from coordinates, Continent coordinate mismatch, Continent country mismatch, Continent invalid, Continent derived from country, Continent derived from coordinates, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Recorded date mismatch, Recorded date invalid, Recorded date unlikely, Taxon match fuzzy, Taxon match higher rank, Taxon match aggregate, Taxon match none, Depth not metric, Depth unlikely, Depth min max swapped, Depth non numeric, Elevation unlikely, Elevation min max swapped, Elevation not metric, Elevation non numeric, Modified date invalid, Modified date unlikely, Identified date unlikely, Identified date invalid, Basis of record invalid, Type status invalid, Multimedia date invalid, Multimedia URI invalid, References URI invalid, Error during interpretation, Individual count invalid, Individual count conflicts with occurrence status, Occurrence status unparsable, Occurrence status inferred from individual count, ccurrence status inferred from basis of record, Georeferenced date unlikely, Georeferenced date invalid, Ambiguous institution, Ambiguous collection, Institution match none, Collection match none, Institution match fuzzy, Collection match fuzzy, Institution collection mismatch, Possibly on loan, Different owner institution)",
 "TaxonKey is Vaccinium L."
 ]
}

 The dataset includes 1422463 records from 1698 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0145016-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ga1a2g
title: Occurrence Download

description: A dataset containing 328 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Heterohyrax brucei (Gray, 1868)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 328 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010383-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8a4225
title: Occurrence Download

description: A dataset containing 752 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ampelocera edentula Kuhlm."
 ]
}

 The dataset includes 752 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0290564-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eq9x5s
title: Occurrence Download

description: A dataset containing 7308629 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 7308629 records from 7637 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0157766-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7829837
title: MRAMS mesoscale model dataset, tools and animations for Jezero crater nighttime turbulence analysis

description: This material constitutes the software tools to generate MRAMS data used in the analysis submitted for publication in JGR:Planets "Nocturnal turbulence at Jezero crater as determined from MEDA measurements and modeling"<br> by Pla-Garcia et al. The manuscript was submitted to JGR: Planets on 2 October, 2022
DOI: 10.5281/zenodo.7924193
title: Unlabeled Sentinel 2 time series dataset (training, T30TYS): Self-Supervised Spatio-Temporal Representation Learning of Satellite Image Time Series

description: This is a part of the unlabeled Sentinel 2 (S2) L2A dataset composed of patch time series acquired over France used to pretrain U-BARN. For further details, see section IV.A of the pre-print article "Self-Supervised Spatio-Temporal Representation Learning Of Satellite Image Time Series" available here. Each patch is constituted of the 10 bands [B2,B3,B4,B5,B6,B7,B8,B8A,B11,B12] and the three masks ['CLM_R1', 'EDG_R1', 'SAT_R1']. The global dataset is composed of two disjoint datasets: training (9 tiles) and validation dataset (4 tiles). In this repo,<strong> only data from the S2 tile T30TYS</strong> are available. To download the full pretraining dataset, see: 10.5281/zenodo.7891924 <strong>Global unlabeled dataset description</strong> Dataset name S2 tiles ROI size Temporal extent Train T30TXT,T30TYQ,T30TYS,T30UVU, T31TDJ,T31TDL,T31TFN,T31TGJ,T31UEP 1024*1024 2018-2020 Val T30TYR,T30UWU,T31TEK,T31UER 256*256 2016-2019
DOI: 10.5281/zenodo.7924192
title: Unlabeled Sentinel 2 time series dataset (training, T30TYS): Self-Supervised Spatio-Temporal Representation Learning of Satellite Image Time Series

description: This is a part of the unlabeled Sentinel 2 (S2) L2A dataset composed of patch time series acquired over France used to pretrain U-BARN. For further details, see section IV.A of the pre-print article "Self-Supervised Spatio-Temporal Representation Learning Of Satellite Image Time Series" available here. Each patch is constituted of the 10 bands [B2,B3,B4,B5,B6,B7,B8,B8A,B11,B12] and the three masks ['CLM_R1', 'EDG_R1', 'SAT_R1']. The global dataset is composed of two disjoint datasets: training (9 tiles) and validation dataset (4 tiles). In this repo,<strong> only data from the S2 tile T30TYS</strong> are available. To download the full pretraining dataset, see: 10.5281/zenodo.7891924 <strong>Global unlabeled dataset description</strong> Dataset name S2 tiles ROI size Temporal extent Train T30TXT,T30TYQ,T30TYS,T30UVU, T31TDJ,T31TDL,T31TFN,T31TGJ,T31UEP 1024*1024 2018-2020 Val T30TYR,T30UWU,T31TEK,T31UER 256*256 2016-2019
DOI: 10.4121/014e83eb-a5ea-469a-9e6b-980e38bdf197
title: Data underlying the publication: Momentum transport in (un)organised precipitating shallow convection

description: Large eddy simulation (DALES) on a domain of 150 x 150 km2, centered at 13.3 N,-57.7, 1512 horizontal grid points are used in both x and y directions, corresponding to a resolution of about 100 m . The dataset covers 9 days of the EUREC4A field campaign in 2020. The model uses doubly periodic boundary conditions on the domain sides, standard boundary conditions on the top and bottom. This dataset includes domain averaged profiles of the simulation, as well as two vertical cross sections, and top view of the cloud field (liquid water path). This data allows to replicate the results in Momentum transport in (un)organised precipitating shallow convection.
DOI: 10.4121/014e83eb-a5ea-469a-9e6b-980e38bdf197.v1
title: Data underlying the publication: Momentum transport in (un)organised precipitating shallow convection

description: Large eddy simulation (DALES) on a domain of 150 x 150 km2, centered at 13.3 N,-57.7, 1512 horizontal grid points are used in both x and y directions, corresponding to a resolution of about 100 m . The dataset covers 9 days of the EUREC4A field campaign in 2020. The model uses doubly periodic boundary conditions on the domain sides, standard boundary conditions on the top and bottom. This dataset includes domain averaged profiles of the simulation, as well as two vertical cross sections, and top view of the cloud field (liquid water path). This data allows to replicate the results in Momentum transport in (un)organised precipitating shallow convection.
DOI: 10.5281/zenodo.7632979
title: Confocal data of Kekveus brevisulcatus, holotype, NIGP200739-1

description: This dataset contains the raw confocal laser scanning microscopy (CLSM) slices for the holotype of <em>Kekveus brevisulcatus</em> (NIGP200739-1) from mid-Cretaceous Burmese amber. This dataset is associated with the publication "<em>Kekveus brevisulcatus</em> sp. nov., a new featherwing beetle from mid-Cretaceous amber of northern Myanmar (Coleoptera: Ptiliidae)" (DOI:10.7717/peerj.15306). Confocal images were obtained with a Zeiss LSM710 confocal laser scanning microscope, using the 488 nm (Argon) laser excitation line. The original CZI files are provided, which could be opened by the ZEISS ZEN software.
DOI: 10.5281/zenodo.7632980
title: Confocal data of Kekveus brevisulcatus, holotype, NIGP200739-1

description: This dataset contains the raw confocal laser scanning microscopy (CLSM) slices for the holotype of <em>Kekveus brevisulcatus</em> (NIGP200739-1) from mid-Cretaceous Burmese amber. This dataset is associated with the publication "<em>Kekveus brevisulcatus</em> sp. nov., a new featherwing beetle from mid-Cretaceous amber of northern Myanmar (Coleoptera: Ptiliidae)" (DOI:10.7717/peerj.15306). Confocal images were obtained with a Zeiss LSM710 confocal laser scanning microscope, using the 488 nm (Argon) laser excitation line. The original CZI files are provided, which could be opened by the ZEISS ZEN software.
DOI: 10.5281/zenodo.7924639
title: Bitcointalk.org scrape

description: Bitcoin scrape (April-may 2023) or board 1 (https://bitcointalk.org/index.php?board=1.0) with within this board/list "PostID": post_id, "Username": username_element.text, "PostDate": post_date_element.text, "PostContent": post_content_element.text, "PostTitle": post_title_element.text, "PostURL": post_url for all pages per post/topic File name : output_file_name = output_folder + url.split('=')[1].replace('.', '_') + ".csv" (from the list of url's per topic)
DOI: 10.5281/zenodo.7924638
title: Bitcointalk.org scrape

description: Bitcoin scrape (April-may 2023) or board 1 (https://bitcointalk.org/index.php?board=1.0) with within this board/list "PostID": post_id, "Username": username_element.text, "PostDate": post_date_element.text, "PostContent": post_content_element.text, "PostTitle": post_title_element.text, "PostURL": post_url for all pages per post/topic File name : output_file_name = output_folder + url.split('=')[1].replace('.', '_') + ".csv" (from the list of url's per topic)
DOI: 10.5281/zenodo.7113079
title: A global historical twice-daily (daytime and nighttime) land surface temperature dataset produced by AVHRR observations from 1981 to 2021 (1981–2000)

description: Land surface temperature (LST) is a key variable for monitoring and evaluating global long-term climate change. However, existing satellite-based twice-daily LST products only date back to 2000, which makes it difficult to obtain robust long-term temperature variations. We developed the first global historical twice-daily LST dataset (GT-LST), with a spatial resolution of 0.05°, using Advanced Very High Resolution Radiometer Level-1b Global Area Coverage data from 1981 to 2021. Validation with in situ measurements from Surface Radiation Budget sites showed that the overall root-mean-square errors of GT-LST varied from 2.0 K to 3.9 K. Inter-comparison with a common LST product (i.e., MYD11A1) revealed that the overall root-mean-square-difference was approximately 3.2 K. More details of this dataset can be seen in <em>readme.pdf.</em> This dataset provides GT-LST product from 1981 to 2000.
DOI: 10.34740/kaggle/dsv/5662973
title: 2021 World Population (updated daily)
DOI: 10.4121/4717831d-5f3c-4cbc-a616-a7cb595de7ff
title: Data and models for paper 'Quantifying basin-scale changes in groundwater storage using GRACE and one-way coupled hydrological and groundwater flow model in the data-scarce Bandung groundwater Basin, Indonesia'

description: Data and models used in the paper with the title mentioned above (readme file is available)The analysis starts with hydrological simulation using the wflow_sbm model, followed by groundwater flow simulation using MODFLOW model, before the figures in the paper are produced
DOI: 10.4121/4717831d-5f3c-4cbc-a616-a7cb595de7ff.v1
title: Data and models for paper 'Quantifying basin-scale changes in groundwater storage using GRACE and one-way coupled hydrological and groundwater flow model in the data-scarce Bandung groundwater Basin, Indonesia'

description: Data and models used in the paper with the title mentioned above (readme file is available)The analysis starts with hydrological simulation using the wflow_sbm model, followed by groundwater flow simulation using MODFLOW model, before the figures in the paper are produced
DOI: 10.5281/zenodo.7134157
title: A global historical twice-daily (daytime and nighttime) land surface temperature dataset produced by AVHRR observations from 1981 to 2021 (2001–2005)

description: Land surface temperature (LST) is a key variable for monitoring and evaluating global long-term climate change. However, existing satellite-based twice-daily LST products only date back to 2000, which makes it difficult to obtain robust long-term temperature variations. We developed the first global historical twice-daily LST dataset (GT-LST), with a spatial resolution of 0.05°, using Advanced Very High Resolution Radiometer Level-1b Global Area Coverage data from 1981 to 2021. Validation with in situ measurements from Surface Radiation Budget sites showed that the overall root-mean-square errors of GT-LST varied from 2.0 K to 3.9 K. Inter-comparison with a common LST product (i.e., MYD11A1) revealed that the overall root-mean-square-difference was approximately 3.2 K. More details of this dataset can be seen in <em>readme.pdf.</em> This dataset provides GT-LST product from 2001 to 2005.
DOI: 10.48331/scielo.w5hcit/lopslz
title: joel-torres-hernandez_los preprints y su participacion en el ecosistema de la ciencia abierta.pptx

description: :unav
DOI: 10.48331/scielo.w5hcit
title: Preprints: panorama, rutas y buenas prácticas para su publicación

description: Presentación de Joel Torres Hernández en el Seminario SciELO México – SciELO 25 Años: Los preprints y su participación en el ecosistema de la ciencia abierta. Página del evento: https://25.scielo.org/es/seminarios/mexico-preprints/
DOI: 10.35078/v2j1bx
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Diamantina | Município: Capelinha

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.5519/qd.e13cltv0
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (9 records)