cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48597/nx6r-3vkq
title: Measurement of Ozone at Ushuaia

description: Measurement of Ozone at Ushuaia
DOI: 10.48597/rhmv-rpur
title: Measurement of Ozone at Ushuaia

description: Measurement of Ozone at Ushuaia
DOI: 10.48597/3njr-3a4e
title: Measurement of Ozone at Jarczew

description: Measurement of Ozone at Jarczew
DOI: 10.48597/p9xz-fq8t
title: Measurement of Ozone at Leba

description: Measurement of Ozone at Leba
DOI: 10.48597/vaa4-zcaa
title: Measurement of Ozone at Diabla Gora

description: Measurement of Ozone at Diabla Gora
DOI: 10.23719/1532373
title: Toxicity of fresh and aged anthropogenic smoke particles emitted from different burning conditions

description: This dataset provides information on how photochemical aging alters the chemical compositions of the smoke depending on burning conditions and increases oxygenated VOC emissions but degrades particle-bound PAHs. Also the findings indicate that PAH degradation is more pronounced in flaming than smoldering smoke particles, suggesting that PAH-induced toxicity of the smoke particles varies depending on photochemical aging and burning conditions.
DOI: 10.48597/aw7x-bzkh
title: Measurement of Ozone at Diabla Gora

description: Measurement of Ozone at Diabla Gora
DOI: 10.48597/bvt4-m3ev
title: Measurement of Ozone at Leba

description: Measurement of Ozone at Leba
DOI: 10.48597/dpd9-9n2e
title: Measurement of Ozone at Jarczew

description: Measurement of Ozone at Jarczew
DOI: 10.23719/1531966
title: Speciation of aqueous iron and arsenic for assessing mechanisms of arsenic attenuation in groundwater

description: The dataset include the report of the groundwater analysis in Shepley's Hill Landfill, and a report of clustering of the groundwater samples based on their chemical composition.
DOI: 10.48597/287w-knqf
title: Measurement of Ozone at Arrival Heights

description: Measurement of Ozone at Arrival Heights
DOI: 10.48597/2s8j-ac4a
title: Ozone at Arrival Heights

description: Measurement of Ozone at Arrival Heights
DOI: 10.48597/2rew-9aqu
title: Measurement of Ozone at Arrival Heights

description: Measurement of Ozone at Arrival Heights
DOI: 10.23719/1532269
title: Scripts and output for evaluating U.S. domestic migration models and data sources.

description: The zip files contain Python scripts and SQLite databases needed to replicate the modeling, analysis, and accuracy assessment discussed in the manuscript. R scripts are also included, which can be used to replicate the spatial interaction model (i.e., zero-inflated regression).
DOI: 10.48597/46ku-sjj9
title: Measurement of Ozone at Rucava

description: Measurement of Ozone at Rucava
DOI: 10.48597/58e6-837x
title: Measurement of Ozone at Preila

description: Measurement of Ozone at Preila
DOI: 10.48597/5dyq-n5hj
title: Measurement of Ozone at Rucava

description: Measurement of Ozone at Rucava
DOI: 10.48597/7x83-tqjh
title: Measurement of Ozone at Preila

description: Measurement of Ozone at Preila
DOI: 10.48597/936h-bupa
title: Measurement of Ozone at Arrival Heights

description: Measurement of Ozone at Arrival Heights
DOI: 10.48597/27q5-93pf
title: Measurement of Ozone at Kollumerwaard

description: Measurement of Ozone at Kollumerwaard
DOI: 10.48597/9w34-wg2b
title: Measurement of Ozone at Zoseni

description: Measurement of Ozone at Zoseni
DOI: 10.48597/du2g-65j4
title: Measurement of Ozone at Vredepeel

description: Measurement of Ozone at Vredepeel
DOI: 10.48597/nqes-57tn
title: Measurement of Ozone at Eibergen

description: Measurement of Ozone at Eibergen
DOI: 10.48597/qjzy-ycrn
title: Measurement of Ozone at De Zilk

description: Measurement of Ozone at De Zilk
DOI: 10.48597/yv43-h6q7
title: Measurement of Ozone at Cabauw Wielsekade

description: Measurement of Ozone at Cabauw Wielsekade
DOI: 10.48597/2fh6-a5uh
title: Measurement of Ozone at Vredepeel

description: Measurement of Ozone at Vredepeel
DOI: 10.48597/4e3x-p6yy
title: Measurement of Ozone at Zoseni

description: Measurement of Ozone at Zoseni
DOI: 10.48597/9u2u-fcua
title: Measurement of Ozone at Cabauw Wielsekade

description: Measurement of Ozone at Cabauw Wielsekade
DOI: 10.48597/aba2-h8vb
title: Measurement of Ozone at Kollumerwaard

description: Measurement of Ozone at Kollumerwaard
DOI: 10.48597/x7pj-8j9k
title: Measurement of Ozone at Eibergen

description: Measurement of Ozone at Eibergen
DOI: 10.48597/ynfq-9r6r
title: Measurement of Ozone at De Zilk

description: Measurement of Ozone at De Zilk
DOI: 10.15468/dl.byfp7p
title: Occurrence Download

description: A dataset containing 436 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platyodon cancellatus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 436 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018071-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cqb4an
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Coregonus chadary)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018072-250914085247600/datasets/export for details.
DOI: 10.15468/dl.zfez2s
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Culex quinquefasciatus",
 "Country is Bahamas",
 "HasCoordinate is true"
 ]
}

 The dataset includes 42 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018073-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ry8syh
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018074-250914085247600/datasets/export for details.
DOI: 10.18112/openneuro.ds006001.v1.1.0
title: Probabilistic Mapping and Automated Segmentation of Human Brainstem White Matter Bundles
DOI: 10.15468/dl.hp2k47
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018075-250914085247600/datasets/export for details.
DOI: 10.5281/zenodo.17096218
title: Supporting dataset for: Bidirectional quantitative scattering microscopy

description: The raw hologram datasets used for Fig. 2a and Fig. 3a except for Fig. 3c are deposited. Detailed instructions for data processing are provided in our GitHub repository. For access to additional datasets (Fig. 2b, 3c, and 4), please contact the corresponding author (ideguchi@ipst.s.u-tokyo.ac.jp).
DOI: 10.5281/zenodo.17096217
title: Supporting dataset for: Bidirectional quantitative scattering microscopy

description: The raw hologram datasets used for Fig. 2a and Fig. 3a except for Fig. 3c are deposited. Detailed instructions for data processing are provided in our GitHub repository. For access to additional datasets (Fig. 2b, 3c, and 4), please contact the corresponding author (ideguchi@ipst.s.u-tokyo.ac.jp).
DOI: 10.15468/dl.zcx5sx
title: Occurrence Download

description: A dataset containing 150492 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "OccurrenceStatus is Present",
 "PublishingOrg is 1928bdf0-f5d2-11dc-8c12-b8a03c50a862",
 "TaxonKey is Phasianus colchicus",
 "Year 2000-2025"
 ]
}

 The dataset includes 150492 records from 2734 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018058-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr38050.v3
title: Kickstarter Data, Global, 2009-2023
title: Version 3

description: Launched on April 28, 2009, Kickstarter is a Public Benefit Corporation based in Brooklyn, New York. It is a global crowdfunding platform that helps to fund new creative projects and ideas through direct support from individuals (backers) from around the world who pledge money to bring these projects and ideas to life.
Kickstarter supports many different kinds of projects. Everything from films, games, and music to art, design, and technology. Funding on Kickstarter is based on the all-or-nothing model. Backers who pledge their support towards a particular project won't be charged unless the funding goal has been reached. Successfully funded projects reward their backers with one-of-a-kind experiences, e.g., limited editions, or copies of the creative work being produced.
This study includes three datasets: (1) Kickstarter Project (public-use file), (2) Backer Location file, and (3) Kickstarter Project (restricted-use file). The public-use Kickstarter Project dataset contains detailed information about all successful and unsuccessful Kickstarter projects (N=610,015) from 2009-2023, including the project category and subcategory, project location (city, state (for U.S.-based projects), and country), funding goal in original and U.S. currencies, amount pledged in dollars, and the number of backers for each project. The restricted file adds the project title, 150-character project description, and the URL for the project on the Kickstarter site. The Backer Location dataset includes information about backers' country and state and the total amount pledged for each geographic location.
description: Kickstarter Project Public-Use Data (DS1): This file includes 610015 cases and 20 variables about projects on Kickstarter including: project category, location, launch and end dates, the currency used to fund the project, project goals and amount raised in the original currency as well as USD, number of backers, and project status.

Kickstarter Project Restricted-Use Data (DS2): This file includes 610015 cases and 20 variables about projects on Kickstarter including: project name, summary, category, location, launch and end dates, the currency used to fund the project, project goals and amount raised in the original currency as well as USD, number of backers, project status, and the project URL.

Backer Location (DS3):This file contains 15027067 cases and 6 variables about the demographics of people that donated to Kickstarter projects, including: location, number of backers, and total amount donated in USD.
description: Datasets: 
DS0: Study-Level Files
DS1: Kickstarter Project Public-Use Data
DS2: Kickstarter Project Restricted-Use Data
DS3: Backer Location
description: Creative projects that seek crowdfunding from backers through Kickstarter. Smallest Geographic Unit: City
description: record abstracts
DOI: 10.15468/dl.362nfg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chelon labrosus (Risso, 1827)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((6.524 -0.514,7.0065 -0.2456,7.2624 0.2943,7.123 0.7051,6.6607 0.9135,6.1391 0.6726,5.9617 0.2289,6.1206 -0.3209,6.524 -0.514))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056177-250525065834625/datasets/export for details.
DOI: 10.15468/dl.a9x9zq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Batrachospermum Roth, 1797",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.6372 -28.0032,16.2782 -28.5786,20.509 -28.5786,20.509 -24.0715,15.4933 -24.0715,15.4945 -24.1257,16.0509 -25.6631,15.6372 -28.0032))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056178-250525065834625/datasets/export for details.
DOI: 10.48425/bxohd5dq
title: Protocol temperature loggers air temperature varanger

description: Protocol for air temperature measurements using temperature loggers (iButtons) on the Varanger peninsula.
DOI: 10.15468/dl.bh2pxq
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.26.12.5_1",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Tragopan temminckii (J.E.Gray, 1831), Crossoptilon crossoptilon (Hodgson, 1838), Chrysolophus pictus (Linnaeus, 1758), Buteo hemilasius Temminck & Schlegel, 1844, Gekko subpalmatus (Günther, 1864), Ptyas dhumnades (Cantor, 1842))"
 ]
}

 The dataset includes 51 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056179-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gnd8yu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Batrachospermum Roth, 1797",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.4784 -23.4046,15.4933 -24.0715,20.509 -24.0715,20.509 -24.0455,20.0952 -23.5072,19.9968 -23.017,19.7843 -22.5405,19.1988 -21.8785,18.5972 -21.5447,17.8859 -21.3993,17.1626 -21.4805,16.5332 -21.7596,16.1257 -22.0882,15.8234 -22.4662,15.606 -22.8993,15.4784 -23.4046))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056181-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15695486
title: Raw data of age, grainsize, clay minerals and geochemistry composition of core ZK20 in the South Yellow sea

description: Raw data of age, grainsize, clay minerals and geochemistry composition of core ZK20 in the South Yellow sea
DOI: 10.5281/zenodo.15695487
title: Raw data of age, grainsize, clay minerals and geochemistry composition of core ZK20 in the South Yellow sea

description: Raw data of age, grainsize, clay minerals and geochemistry composition of core ZK20 in the South Yellow sea
DOI: 10.15468/dl.awebz7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chelon labrosus (Risso, 1827)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((10.0615 -3.4463,10.1382 -3.5292,10.1382 2.0599,9.2753 2.0599,9.2723 2.0399,8.8555 1.2955,8.8103 -0.1351,8.354 -0.2687,8.2157 -0.7924,8.7426 -1.8029,8.6574 -2.0749,8.8035 -2.4281,9.149 -2.574,10.0615 -3.4463))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056180-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.28926584.v2
title: <b>Multi-Modal Thermal and Digital Imaging of </b><b><i>Felis catus</i></b><b>: Temperature and Behavioral Observations</b>

description: This dataset provides <b>multi-modal imaging</b> (thermal and digital) of <i>Felis catus</i> (domestic cats) for Temperature and behavioral analysis. It includes synchronized <b>infrared thermography</b> capturing heat signatures. Designed for <b>veterinary science, animal behavior research, and thermal biology</b>, this open-access resource supports studies on <b>feline thermoregulation, activity monitoring, and non-invasive imaging techniques</b>. Data are structured for easy analysis, with metadata on environmental conditions and behavioral annotations.
DOI: 10.48425/7gn2vag0
title: Protocol_soil_moisture_and_temperature_loggers_varanger

description: Protocol for soil moisture, air temperature and soil temperature measurements using TOMST-loggers on the Varanger peninsula.

Version 2 of the protocol is used from 2022 onwards. One snowbed in Komagdalen has been removed from the study design. Version 3 is used from 2025 onwards.
DOI: 10.6084/m9.figshare.24464278
title: CAFD: China’s annual forest disturbance dates at 30-m spatial resolution from 1986 to 2021

description: This dataset comprises China's annual forest disturbance dates at a 30-meter resolution, captured within an analysis-ready data (ARD) tile system from 1986 to 2021. Generated using the modified COLD algorithm (mCOLD), it optimizes storage efficiency by converting forest disturbance dates into years and days of the year (DOY). The year is directly indicated in the file name, while the DOY is documented within the dataset. Each GeoTIFF file is named in the format "CAFD.yxxxx.hxxvxx.tif", where "yxxxx" denotes the year and "hxxvxx" represents the ARD tile ID. We welcome any feedback on our data for future updates!<b>Update History</b>Version 1.0: Forest disturbance monitoring using the COLD algorithm from Shang et al., 2023.Version 2.0: Modify the COLD algorithm (mCOLD) by integrating spatial information and bidirectional monitoring.Version 3.0: The data is being updated and will be available soon！<b>Emails:</b><b> </b>Rong Shang (rongshang90@gmail.com, https://www.researchgate.net/profile/Rong-Shang), Jing M. Chen (jing.chen@utoronto.ca).<b>Citations</b>Shang R., Yang Z., Liang Y., et al.,(2025): CAFD: China’s annual forest disturbance dates at 30-m spatial resolution from 1986 to 2021. https://doi.org/10.6084/m9.figshare.24464278.Shang R., Chen J.M.*, Xu M., et al.,(2023), China's current forest age structure will lead to weakened carbon sinks in the near future. The Innovation 4(6),100515. [Link]<br>
DOI: 10.6084/m9.figshare.24464278.v3
title: CAFD: China’s annual forest disturbance dates at 30-m spatial resolution from 1986 to 2021

description: This dataset comprises China's annual forest disturbance dates at a 30-meter resolution, captured within an analysis-ready data (ARD) tile system from 1986 to 2021. Generated using the modified COLD algorithm (mCOLD), it optimizes storage efficiency by converting forest disturbance dates into years and days of the year (DOY). The year is directly indicated in the file name, while the DOY is documented within the dataset. Each GeoTIFF file is named in the format "CAFD.yxxxx.hxxvxx.tif", where "yxxxx" denotes the year and "hxxvxx" represents the ARD tile ID. We welcome any feedback on our data for future updates!<b>Update History</b>Version 1.0: Forest disturbance monitoring using the COLD algorithm from Shang et al., 2023.Version 2.0: Modify the COLD algorithm (mCOLD) by integrating spatial information and bidirectional monitoring.Version 3.0: The data is being updated and will be available soon！<b>Emails:</b><b> </b>Rong Shang (rongshang90@gmail.com, https://www.researchgate.net/profile/Rong-Shang), Jing M. Chen (jing.chen@utoronto.ca).<b>Citations</b>Shang R., Yang Z., Liang Y., et al.,(2025): CAFD: China’s annual forest disturbance dates at 30-m spatial resolution from 1986 to 2021. https://doi.org/10.6084/m9.figshare.24464278.Shang R., Chen J.M.*, Xu M., et al.,(2023), China's current forest age structure will lead to weakened carbon sinks in the near future. The Innovation 4(6),100515. [Link]<br>
DOI: 10.6084/m9.figshare.24464278.v2
title: CAFD: China’s annual forest disturbance dates at 30-m spatial resolution from 1986 to 2021

description: This dataset comprises China's annual forest disturbance dates at a 30-meter resolution, captured within an analysis-ready data (ARD) tile system from 1986 to 2021. Generated using the modified COLD algorithm (mCOLD), it optimizes storage efficiency by converting forest disturbance dates into years and days of the year (DOY). The year is directly indicated in the file name, while the DOY is documented within the dataset. Each GeoTIFF file is named in the format "CAFD.yxxxx.hxxvxx.tif", where "yxxxx" denotes the year and "hxxvxx" represents the ARD tile ID. We welcome any feedback on our data for future updates!<b>Update History</b>Version 1.0: Forest disturbance monitoring using the COLD algorithm from Shang et al., 2023.Version 2.0: Modify the COLD algorithm (mCOLD) by integrating spatial information and bidirectional monitoring.<b>Emails:</b><b> </b>Rong Shang (rongshang90@gmail.com, https://www.researchgate.net/profile/Rong-Shang), Jing M. Chen (jing.chen@utoronto.ca).<b>Citations</b>Shang R., Yang Z., Liang Y., et al.,(2025): CAFD: China’s annual forest disturbance dates at 30-m spatial resolution from 1986 to 2021. https://doi.org/10.6084/m9.figshare.24464278. Shang R., Chen J.M.*, Xu M., et al.,(2023), China's current forest age structure will lead to weakened carbon sinks in the near future. The Innovation 4(6),100515. [Link]<br>
DOI: 10.5281/zenodo.15695581
title: SARI-Hospitalisierungsinzidenz

description: Zur Einschätzung der Krankheitslast schwerer symptomatischer Atemwegsinfektionen im stationären Bereich wird mithilfe von Daten aus der syndromischen Krankenhaussurveillance ICOSARI die Inzidenz der Fälle, die mit einer schweren akuten respiratorischen Infektion (SARI) in ein Krankenhaus zur Behandlung aufgenommen wurden, pro 100.000 Einwohner berechnet. Zeitnahe und valide Daten über die Häufigkeit von SARI im zeitlichen Verlauf und im Kontext zirkulierender Atemwegserreger in der Bevölkerung sind essenziell für die Einschätzung der epidemiologischen Lage und die Entwicklung und Anpassung von Präventionsstrategien.