cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.w44y8e
title: Occurrence Download

description: A dataset containing 26755 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lathyrus aphaca L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 26755 records from 664 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005372-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ashh54
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hibiscus grewioides Baker fil."
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020868-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cgknvw
title: Occurrence Download

description: A dataset containing 991 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Parnassia palustris L.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 991 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163175-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zngr9r
title: Occurrence Download

description: A dataset containing 1473 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Washingtonia H.Wendl."
 ]
}

 The dataset includes 1473 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028471-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3cch8v
title: Occurrence Download

description: A dataset containing 8973198 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gastropoda"
 ]
}

 The dataset includes 8973198 records from 2753 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163199-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w7rwps
title: Occurrence Download

description: A dataset containing 1429 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Micrurus nigrocinctus (Girard, 1854)"
 ]
}

 The dataset includes 1429 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0169009-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.agbqwu
title: Occurrence Download

description: A dataset containing 4408 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Salix euxina I.V.Belyaeva"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4408 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018966-180508205500799/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.25931941
title: Dataset of building characteristics from building façade images

description: Building characteristics are vital across various domains such as construction management and architectural design. Static Street View Images (SSVIs) can be utilized with deep learning techniques to interpret building characteristics without the need for a physical visit. Deep learning approaches have demonstrated a high capability for generalization, enabling the automation of manual tasks related to image analysis. However, there is no publicly available labeled dataset of building characteristics from building facade images for training deep learning models. In this article, we focus on constructing a dataset for four different tasks: classification of the number of stories, classification of building typologies, classification of exterior cladding materials, and classification of usable SSVIs. To develop deep learning models, this research constructed a dataset sourced from London and Scotland in the UK. The dataset was labeled by annotation experts. While the focus of this research is on specific tasks, the raw dataset can be used for other purposes (e.g., ascertaining the age of buildings or identifying window types) by annotating the data for the corresponding tasks.
DOI: 10.15468/dl.sf957y
title: Occurrence Download

description: A dataset containing 218 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Tillandsia recurvata (L.) L."
 ]
}

 The dataset includes 218 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0184073-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rnzdgb
title: Occurrence Download

description: A dataset containing 590 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Penaeus monodon Fabricius, 1798",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 590 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018966-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vjng9n
title: Occurrence Download

description: A dataset containing 1613 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Clematis hirsutissima Pursh"
 ]
}

 The dataset includes 1613 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0190661-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ddw39p
title: Occurrence Download

description: A dataset containing 1196869 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Solanaceae",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1196869 records from 1296 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018966-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lfffdk
title: Occurrence Download

description: A dataset containing 66467 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "TaxonKey is Lupinus L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 66467 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001047-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ekxh7k
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "Year 1990-2018",
 "HasCoordinate is true",
 "TaxonKey is Ruppia L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 88 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018967-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hjwr2c
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Celeus flavus subflavus P.L.Sclater & Salvin, 1877"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018968-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8p66bb
title: Occurrence Download

description: A dataset containing 1801 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tangara cayana (Linnaeus, 1766)"
 ]
}

 The dataset includes 1801 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0193120-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14855507
title: patikit/Glocke_PALM-4U-in-an-Urban-Context-Sensitivity-Response-to-Perturbations-and-Implemented-Modules: Glocke_PALM-4U-in-an-Urban-Context-Sensitivity-Response-to-Perturbations-and-Implemented-Modules

description: To study the the short-term atmospheric response of the large eddy simulation urban climate model PALM-4U to disturbances of model parameters in Berlin, we provide the data used in our study: Integrating Subsurface Dynamics into PALM-4U Urban Simulations: Sensitivity Response to Perturbations and Implemented Modules.The data include the input p3d files for the model run, the input static driver, the dynamic forcing input, as well as the output av_xy files. We developed different scenarios for studying the sensitivity of the model, which are: (i) the influence of a 5 K soil temperature change in the deepest soil layer (2.91 m) in conjunction with and without the implementation of the bulk cloud model (BCM) and (ii) the effect of entirely adjusted soil temperature profiles in order to emulate a temporally more advanced state of heat diffusion in the soil, again under clear-sky conditions and for an overcast day.
DOI: 10.5281/zenodo.15180715
title: patikit/Glocke_PALM-4U-in-an-Urban-Context-Sensitivity-Response-to-Perturbations-and-Implemented-Modules: Glocke_PALM-4U-in-an-Urban-Context-Sensitivity-Response-to-Perturbations-and-Implemented-Modules

description: To study the the short-term atmospheric response of the large eddy simulation urban climate model PALM-4U to disturbances of model parameters in Berlin, we provide the data used in our study: Integrating Subsurface Dynamics into PALM-4U Urban Simulations: Sensitivity Response to Perturbations and Implemented Modules.The data include the input p3d files for the model run, the input static driver, the dynamic forcing input, as well as the output av_xy files. We developed different scenarios for studying the sensitivity of the model, which are: (i) the influence of a 5 K soil temperature change in the deepest soil layer (2.91 m) in conjunction with and without the implementation of the bulk cloud model (BCM) and (ii) the effect of entirely adjusted soil temperature profiles in order to emulate a temporally more advanced state of heat diffusion in the soil, again under clear-sky conditions and for an overcast day.
DOI: 10.57780/eca-ac6e8ce
title: EarthCARE ATLID FM Level 2A

description: EarthCARE ATLID FM Level 2A baseline BB
DOI: 10.5281/zenodo.17450209
title: Dynamic pharmacophores unveil binding mode ensembles for classical partial agonists at the M2 receptor

description: This dataset contains the MD trajectories for the folowing project: Dynamic pharmacophores unveil binding mode ensembles for classical partial agonists at the M2 receptor.The dataset contains the trajectories of simulations of the M2 receptor in complex with the following ligands: QNB, NMS, iperoxo, pilocarpine, alvameline, cevimeline, and talsaclidine. Each complex was simulated in triplicates for 1 µs each and consits of 20.000 frames each.
DOI: 10.15468/dl.d46rzu
title: Occurrence Download

description: A dataset containing 1553 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Prosopis chilensis, Neltuma chilensis)"
 ]
}

 The dataset includes 1553 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004733-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n8fyyw
title: Occurrence Download

description: A dataset containing 73984 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is VectorDistributionStatus"
 ]
}

 The dataset includes 73984 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004712-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1137960.10fu
title: SH1137960.10FU

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/sh1137967.10fu
title: SH1137967.10FU

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/sh1137972.10fu
title: SH1137972.10FU

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/sh1137973.10fu
title: SH1137973.10FU

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/sh1137977.10fu
title: SH1137977.10FU

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/sh1137980.10fu
title: SH1137980.10FU

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/sh1137984.10fu
title: SH1137984.10FU

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/sh1137987.10fu
title: SH1137987.10FU

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/sh1137992.10fu
title: SH1137992.10FU

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.