cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.259fng
title: Occurrence Download

description: A dataset listing the 45 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 {
 "or" : [
 "InstitutionKey is not null",
 "CollectionKey is not null"
 ]
 },
 "BasisOfRecord is one of (Specimen, Fossil, Material sample, Living Specimen, Material citation)"
 ]
 },
 "TaxonKey is one of (Eleusine Gaertn., Eleusine intermedia (Chiov.) S.M.Phillips, Eleusine caracana (L.) Gaertn., 1788, Eleusine kigeziensis S.M.Phillips, Eleusine indica (L.) Gaertn., Eleusine tristachya var. tristachya, Eleusine jaegeri Pilg., Eleusine floccifolia Spreng., Eleusine multiflora Hochst. ex A.Rich., Eleusine semisterilis S.M.Phillips, Eleusine africana Kenn.-O'Byrne)"
 ]
}

 The dataset's 45 records were derived from 498 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014394-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qvwury
title: Occurrence Download

description: A dataset containing 243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Didemnum vexillum Kott, 2002",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 243 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014410-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9jy396
title: Occurrence Download

description: A dataset containing 9580158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Germany",
 "OccurrenceStatus is Present",
 "Year 2022-2024"
 ]
}

 The dataset includes 9580158 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014383-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7sspu9
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (DEU.10.41_1, DEU.10.24_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Zygaenidae",
 "Year 2014-2024"
 ]
}

 The dataset includes 30 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014412-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r2bpkn
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((96.35433 17.89958,116.64567 17.89958,116.64567 32.10042,96.35433 32.10042,96.35433 17.89958))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Teucrium simplex Vaniot"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014414-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jd5anj
title: Occurrence Download

description: A dataset containing 296 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((160.87552 -49.48528,185.12448 -49.48528,185.12448 -32.51472,160.87552 -32.51472,160.87552 -49.48528))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Teucrium parvifolium (Hook.f.) Kattari & Salmaki"
 ]
}

 The dataset includes 296 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014416-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n2c7ne
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Dominican Republic",
 "TaxonKey is Clavija domingensis Urb. & Ekman"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014415-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/gnrkkh/n6zssv
title: Map-Index.pdf

description: The map index provides a table containing the name of each map in the library, a four-letter code used to help identify individual maps, and a link to each map in the Beauplan's Map Library.
DOI: 10.15468/dl.s5uz72
title: Occurrence Download

description: A dataset containing 19517 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Maculinea teleius (Bergstrasser, 1779)"
 ]
}

 The dataset includes 19517 records from 227 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014413-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6wcsxz
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Aspidistra acetabuliformis Y.Wan & C.C.Huang)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014418-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.73g4wh
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dikerogammarus villosus (Sowinsky, 1894)",
 "Country is Italy",
 "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/0014421-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cm9wcn
title: Occurrence Download

description: A dataset containing 19517 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Maculinea teleius (Bergstrasser, 1779)"
 ]
}

 The dataset includes 19517 records from 227 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014423-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y7eryq
title: Occurrence Download

description: A dataset containing 27734 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bolivia (Plurinational State of)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Fungi, Myxomycetes)"
 ]
}

 The dataset includes 27734 records from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014425-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.79nfkc
title: Occurrence Download

description: A dataset containing 5822 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Matayba guianensis Aubl., Talisia prancei Guarim)"
 ]
}

 The dataset includes 5822 records from 228 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014424-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25835/rnk05x2k
title: Nonlinear moving horizon estimation for robust state and parameter estimation

description: This dataset contains the simulation code of the numerical example in the paper _Nonlinear moving horizon estimation for robust state and parameter estimation_.

The provided MATLAB code runs a moving horizon estimation algorithm for joint state and parameter estimation of a modified Chua's Circuit system. Please refer to the README for instructions on how to execute the code and the requirements.
DOI: 10.15468/dl.zjxq6r
title: Occurrence Download

description: A dataset containing 1033 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen",
 "ScientificName is Theaceae"
 ]
}

 The dataset includes 1033 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014427-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.adv.27327780
title: Excel file

description: Example calculation and data for figures
DOI: 10.60893/figshare.adv.27327780.v1
title: Excel file

description: Example calculation and data for figures
DOI: 10.60893/figshare.apl.27623565
title: Supplemental Material

description: The Supplementary Material includes a detailed description of the fabrication process of the Cr patterned mask. We further present details on ToF - ERDA measurements and the MOKE system.
DOI: 10.60893/figshare.apl.27623565.v1
title: Supplemental Material

description: The Supplementary Material includes a detailed description of the fabrication process of the Cr patterned mask. We further present details on ToF - ERDA measurements and the MOKE system.
DOI: 10.5281/zenodo.10777245
title: Dataset of "A Monte Carlo Approach for Simulating Electrical Conductivity in Highly Porous Ceramic Composites: Impact of Internal Structure"

description: 3D structure of lanthanum strontium manganite and yttria-stabilized zirconia composites is predicted based on conductivity measurements using Monte Carlo 3D equivalent circuit network approach. Validation experimental impedance spectra; scanning electron micrographs; cross sections of model simulation or prediction (MSP).
DOI: 10.5281/zenodo.14162680
title: Dataset of "A Monte Carlo Approach for Simulating Electrical Conductivity in Highly Porous Ceramic Composites: Impact of Internal Structure"

description: 3D structure of lanthanum strontium manganite and yttria-stabilized zirconia composites is predicted based on conductivity measurements using Monte Carlo 3D equivalent circuit network approach. Validation experimental impedance spectra; scanning electron micrographs; cross sections of model simulation or prediction (MSP).
DOI: 10.15468/dl.m6mpha
title: Occurrence Download

description: A dataset containing 238106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Castor fiber Linnaeus, 1758"
 ]
}

 The dataset includes 238106 records from 490 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014399-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0187156.10fu
title: SH0187156.10FU

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: 10.7910/dvn/l9esqe
title: Beck et al. (2023) Köppen-Geiger Global 1-km Climate Classification Maps

description: The Beck et al. (2023) Köppen-Geiger Global 1-km Climate Classification Maps (Version 2) cover global land surfaces with spatial resolution of 0.01 degrees (~1 km). Additional maps are available for coarser spatial resolutions of 0.1 degrees, 0.5 degrees, and 1 degree. Maps cover six approximately 30-year time periods, including four historic periods (1901-1930, 1931-1960, 1961-1990, and 1991-2020) and two future time periods (2041-2070 and 2071-2099). The historic climate classifications are derived from multiple observation-based datasets of air temperature and precipitation. The future projected climate classifications are based on downscaled and bias-corrected air temperature and precipitation projections from the Coupled Model Intercomparison Project Phase 6 (CMIP6) for seven different socioeconomic scenarios (Shared Socioeconomic Pathway (SSPs)). Köppen-Geiger climate classifications include five major classes (tropical, arid, temperate, cold, and polar) and 30 sub-classes. The Köppen-Geiger climate classifications can be used for assessing environmental change, ecological modeling, and other applications that require information on variation in climate classification at local to global scales.
description: <b>Intended Use</b>Geospatial exposure model developmentOtherLong-term studiesLarge-scale studiesClimate change impact assessmentsEcological, hydrological and/or agricultural modeling<br><b>Strengths</b>Dataset supports analysis of variation in climate classification with 1 km resolution across global locations and multiple time periods in a consistent wayDataset includes uncertainty information for climate classifications<br><b>Limitations</b>Climate classifications are derived from climate data only and do not account for other important factors impacting biomes such as local geography, soil type, rising carbon dioxide concentrations, grazing pressure, wildfires, invasive species disruptions, and human interventions such as deforestation, urbanization, and agricultureUncertainty estimates for historic and future classifications do not account for all potential sources of uncertaintyClimate classifications are derived from climate data only and do not account for other important factors impacting biomes such as local geography, soil type, rising carbon dioxide concentrations, grazing pressure, wildfires, invasive species disruptions, and human interventions such as deforestation, urbanization, and agricultureUncertainty estimates for historic and future classifications do not account for all potential sources of uncertainty<br><b>Suggested Audience</b>ResearcherGeneral Public<br>
DOI: 10.15156/bio/sh0187157.10fu
title: SH0187157.10FU

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/sh0187158.10fu
title: SH0187158.10FU

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/sh0187159.10fu
title: SH0187159.10FU

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/sh0187160.10fu
title: SH0187160.10FU

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/sh0187161.10fu
title: SH0187161.10FU

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/sh0187162.10fu
title: SH0187162.10FU

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/sh0187163.10fu
title: SH0187163.10FU

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.