cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.j00113.00270
title: Characterization of interlayer coupling in YIG/Py bilayer using polarized neutron reflectometry
title: Characterization of interlayer coupling in YIG/Py bilayer using polarized neutron reflectometry

description: The Polarized neutron reflectometry (PNR) was carried out at the Multipurpose Reflectometer (MR) beamline of the Chinese Spallation Neutron Source (CSNS). The substrate size was 10×10 mm2. The room temperature neutron reflectivity curves were recorded at room temperature as the function of momentum transfer Qz = 4𝜋sin𝜃/𝜆, where 𝜆 is the neutron wavelength and 𝜃 is the incident angle between the neutron beam and the film plane. To access a broad momentum transfer range, reflected neutrons were collected at different incident angles. Both R++ and R-- were recorded when neutrons with spins parallel or antiparallel to the applied fields (corresponding to the spin-up and spin-down neutrons), respectively. PNR data were fitted to a model (including the layer thickness and chemical roughness) that was obtained by XRR fitting using the software GenX.
description: The Polarized neutron reflectometry (PNR) was carried out at the Multipurpose Reflectometer (MR) beamline of the Chinese Spallation Neutron Source (CSNS). The substrate size was 10×10 mm2. The room temperature neutron reflectivity curves were recorded at room temperature as the function of momentum transfer Qz = 4𝜋sin𝜃/𝜆, where 𝜆 is the neutron wavelength and 𝜃 is the incident angle between the neutron beam and the film plane. To access a broad momentum transfer range, reflected neutrons were collected at different incident angles. Both R++ and R-- were recorded when neutrons with spins parallel or antiparallel to the applied fields (corresponding to the spin-up and spin-down neutrons), respectively. PNR data were fitted to a model (including the layer thickness and chemical roughness) that was obtained by XRR fitting using the software GenX.
DOI: 10.15468/dl.d57h3d
title: Occurrence Download

description: A dataset containing 575 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Codonopsis clematidea)"
 ]
}

 The dataset includes 575 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018972-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6tpkss
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polycanthagyna erythromelas",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018973-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ub2fe7
title: Occurrence Download

description: A dataset containing 11116 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ondatra zibethicus",
 "Country is Germany",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Machine Observation)"
 ]
}

 The dataset includes 11116 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018974-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.an2dxr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spermacoce alata",
 "Country is Singapore",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018975-250920141307145/datasets/export for details.
DOI: 10.15468/dl.q79fs5
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spermacoce alata",
 "Country is Sri Lanka",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018977-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bpxmw3
title: Occurrence Download

description: A dataset containing 6864 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allolobophora chlorotica"
 ]
}

 The dataset includes 6864 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018979-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.48sfxk
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Codonopsis ovata)"
 ]
}

 The dataset includes 69 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018980-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17207289
title: Global Quantum Warfare Market 2025 To 2034

description: Quantum Warfare Market Size, Trends and Insights By Application (Land-Based, Naval, Airborne, Space-based, Others), By Quantum Computing & Simulation (Quantum Algorithms, Optimization Systems, Modeling & Simulation, Machine Learning, Others), By Quantum Communication (Quantum Key Distribution, Quantum Internet, Secure Communication Networks, Quantum Cryptography, Others), By Quantum Components (Quantum Processors, Quantum Sensors, Quantum Radars, Quantum Navigation Systems, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025 – 2034.

Reports Description

The analysis of the Quantum Warfare Market by major research teams indicated that the Index of the global Quantum Warfare Market is expected to attain the highest level at a CAGR of 21.4% from 2025 to 2034.The market is also anticipated to be worth USD 1.8 Billion in 2025 and USD 9.7 Billion in the year 2034.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=74292
DOI: 10.5281/zenodo.17207290
title: Global Quantum Warfare Market 2025 To 2034

description: Quantum Warfare Market Size, Trends and Insights By Application (Land-Based, Naval, Airborne, Space-based, Others), By Quantum Computing & Simulation (Quantum Algorithms, Optimization Systems, Modeling & Simulation, Machine Learning, Others), By Quantum Communication (Quantum Key Distribution, Quantum Internet, Secure Communication Networks, Quantum Cryptography, Others), By Quantum Components (Quantum Processors, Quantum Sensors, Quantum Radars, Quantum Navigation Systems, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025 – 2034.

Reports Description

The analysis of the Quantum Warfare Market by major research teams indicated that the Index of the global Quantum Warfare Market is expected to attain the highest level at a CAGR of 21.4% from 2025 to 2034.The market is also anticipated to be worth USD 1.8 Billion in 2025 and USD 9.7 Billion in the year 2034.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=74292
DOI: 10.15468/dl.vmt659
title: Occurrence Download

description: A dataset containing 1627 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Matrona cyanoptera",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1627 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018982-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cpddsg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spermacoce alata",
 "Country is Timor-Leste",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018981-250920141307145/datasets/export for details.
DOI: 10.5281/zenodo.17098109
title: Dataset of heatwaves affecting European beech forests

description: This dataset provides a spatially explicit list of heatwaves that impacted European beech (Fagus sylvatica L.) forests for the period 2003-2023. It includes 29,251 events identified at specific beech forest locations (9,181) across Europe, based on the EU-Forest dataset (Mauri et al., 2017). In this dataset, for Europe, the heatwave is considered as a period of at least three consecutive days during which the daily maximum temperature exceeds the corresponding calendar-day 90th percentile, based on a 30-year climatological reference period (Perkins and Alexander, 2013). Heatwaves were detected using the HeatwaveR R package (Schlegel and Smit, 2018), applied to daily temperature data from ERA5-Land with a shifting climatology approach. Only heatwaves that were found to affect beech forest phenology were included in the dataset. Impact on beech phenology were identified using the npphen R package (Estay and Chàvez, 2018) for anomaly detection, applied to MODIS (Moderate Resolution Imaging Spectroradiometer) EVI (Enhanced Vegetation Index) time series (250 m pixel size, 8-day temporal resoution).This dataset is intended to support research on climate extremes and forest ecosystem responses. 

The dataset is structured as follows:



site_id: Unique identifier for each beech forest location

lat, lon: Geographic coordinates

date_start, date_end: Time limits of the heatwave event

date_peak: Date corresponding to the maximum intensity among heatwave days

duration: Number of heatwave days

intensity_max: Maximum intensity recorded during heatwave days measured as the difference between the observed maximum temperature and the climatology [°C]

category: Severity classification of heatwave intensity based on Hobday et al. (2016)
DOI: 10.5281/zenodo.17098110
title: Dataset of heatwaves affecting European beech forests

description: This dataset provides a spatially explicit list of heatwaves that impacted European beech (Fagus sylvatica L.) forests for the period 2003-2023. It includes 29,251 events identified at specific beech forest locations (9,181) across Europe, based on the EU-Forest dataset (Mauri et al., 2017). In this dataset, for Europe, the heatwave is considered as a period of at least three consecutive days during which the daily maximum temperature exceeds the corresponding calendar-day 90th percentile, based on a 30-year climatological reference period (Perkins and Alexander, 2013). Heatwaves were detected using the HeatwaveR R package (Schlegel and Smit, 2018), applied to daily temperature data from ERA5-Land with a shifting climatology approach. Only heatwaves that were found to affect beech forest phenology were included in the dataset. Impact on beech phenology were identified using the npphen R package (Estay and Chàvez, 2018) for anomaly detection, applied to MODIS (Moderate Resolution Imaging Spectroradiometer) EVI (Enhanced Vegetation Index) time series (250 m pixel size, 8-day temporal resoution).This dataset is intended to support research on climate extremes and forest ecosystem responses. 

The dataset is structured as follows:



site_id: Unique identifier for each beech forest location

lat, lon: Geographic coordinates

date_start, date_end: Time limits of the heatwave event

date_peak: Date corresponding to the maximum intensity among heatwave days

duration: Number of heatwave days

intensity_max: Maximum intensity recorded during heatwave days measured as the difference between the observed maximum temperature and the climatology [°C]

category: Severity classification of heatwave intensity based on Hobday et al. (2016)
DOI: 10.15468/dl.79p4cf
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spermacoce alata",
 "Country is Viet Nam",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018983-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17207273
title: Spatial Analysis of Rail-Based Transportation
DOI: 10.5281/zenodo.17207274
title: Spatial Analysis of Rail-Based Transportation
DOI: 10.15468/dl.pm9dsb
title: Occurrence Download

description: A dataset containing 446 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Codonopsis tangshen)"
 ]
}

 The dataset includes 446 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018984-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3xs8uf
title: Occurrence Download

description: A dataset containing 6842949 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "HasCoordinate is true",
 "Year is 2015"
 ]
}

 The dataset includes 6842949 records from 332 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018892-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1135592
title: Images from an Archaeological Excavation at Urlay Nook Road, Urlay Nook, Stockton-on-Tees, June 2022

description: This collection comprises images from an Archaeological Excavation at Urlay Nook Road, Urlay Nook, Stockton-on-Tees. Work was carried out by Pre-Construct Archaeology Ltd Durham in June 2022.The archaeological investigations undertaken comprised the excavation of two trenches. Geological deposits, the post-medieval Urlay Nook Farm and modern deposits/services were encountered. Most of the post-medieval farm had been truncated however remains of a metalled surface, a brick/concrete wall and the northern part of a gin-gang (horse-engine house) were uncovered.
DOI: 10.5281/zenodo.15311778
title: Interview transcript of mining displaced community
DOI: 10.5281/zenodo.15311779
title: Interview transcript of mining displaced community
DOI: 10.15468/dl.fpcfmg
title: Occurrence Download

description: A dataset containing 213502 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "Geometry POLYGON((-6.56629 37.14091,-6.72038 37.05381,-5.97003 35.84118,-2.10435 37.01361,-5.03878 38.46073,-6.56629 37.14091))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 213502 records from 188 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018946-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0761280.10fu
title: SH0761280.10FU

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/sh0761281.10fu
title: SH0761281.10FU

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/sh0761282.10fu
title: SH0761282.10FU

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/sh0761283.10fu
title: SH0761283.10FU

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/sh0761284.10fu
title: SH0761284.10FU

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/sh0761285.10fu
title: SH0761285.10FU

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.