cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.gd6gsr
title: Occurrence Download

description: A dataset listing the 189 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "GadmGid is BEL.3_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 2025-2025"
 ]
}

 The dataset's 189 records were derived from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017000-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6rb4xx
title: Occurrence Download

description: A dataset listing the 0 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Database of Vascular Plants of Canada (VASCAN)"
 ]
}

 The dataset's 0 records were derived from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016999-250310093411724/datasets/export for details.
DOI: 10.15468/dl.mxjyef
title: Occurrence Download

description: A dataset containing 152 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Siriella gracilis Dana, 1852"
 ]
}

 The dataset includes 152 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017005-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14224687
title: Data for the figures in "In-cloud characteristics observed in US Northeast and Midwest non-orographic winter storms with implications for ice particle mass growth and residence time"

description: This repository contains data shown in the figures in Allen, L. R., Yuter, S. E., Crowe, D. M., Miller, M. A., and Thornhill, K. L.: "In-cloud characteristics observed in US Northeast and Midwest non-orographic winter storms with implications for ice particle mass growth and residence time," to be submitted to Atmospheric Chemistry and Physics.

 





Description of the original data sources: All of the NASA IMPACTS data are archived by GHRC at https://ghrc.nsstc.nasa.gov/uso/ds_details/collections/impactsC.html (McMurdie et al., 2019). The NSF PLOWS 1-second flight-level data are archived by the UCAR Earth Observing Laboratory at https://data.eol.ucar.edu/dataset/113.063 (UCAR/NCAR - Earth Observing Laboratory, 2011). ERA5 hourly data on pressure levels are available from the Copernicus Climate Data Store at https://cds.climate.copernicus.eu/datasets/reanalysis-era5-pressure-levels?tab=overview (Hersbach et al., 2023b). ERA5 hourly single-level data are available from the Copernicus Climate Data Store at https://cds.climate.copernicus.eu/datasets/reanalysis-era5-single-levels?tab=overview (Hersbach et al., 2023a).
DOI: 10.5281/zenodo.14224688
title: Data for the figures in "In-cloud characteristics observed in US Northeast and Midwest non-orographic winter storms with implications for ice particle mass growth and residence time"

description: This repository contains data shown in the figures in Allen, L. R., Yuter, S. E., Crowe, D. M., Miller, M. A., and Thornhill, K. L.: "In-cloud characteristics observed in US Northeast and Midwest non-orographic winter storms with implications for ice particle mass growth and residence time," to be submitted to Atmospheric Chemistry and Physics.

 





Description of the original data sources: All of the NASA IMPACTS data are archived by GHRC at https://ghrc.nsstc.nasa.gov/uso/ds_details/collections/impactsC.html (McMurdie et al., 2019). The NSF PLOWS 1-second flight-level data are archived by the UCAR Earth Observing Laboratory at https://data.eol.ucar.edu/dataset/113.063 (UCAR/NCAR - Earth Observing Laboratory, 2011). ERA5 hourly data on pressure levels are available from the Copernicus Climate Data Store at https://cds.climate.copernicus.eu/datasets/reanalysis-era5-pressure-levels?tab=overview (Hersbach et al., 2023b). ERA5 hourly single-level data are available from the Copernicus Climate Data Store at https://cds.climate.copernicus.eu/datasets/reanalysis-era5-single-levels?tab=overview (Hersbach et al., 2023a).
DOI: 10.5281/zenodo.15051888
title: Data for the figures in "In-cloud characteristics observed in US Northeast and Midwest non-orographic winter storms with implications for ice particle mass growth and residence time"

description: This repository contains data shown in the figures in Allen, L. R., Yuter, S. E., Crowe, D. M., Miller, M. A., and Thornhill, K. L.: "In-cloud characteristics observed in US Northeast and Midwest non-orographic winter storms with implications for ice particle mass growth and residence time," to be submitted to Atmospheric Chemistry and Physics.

 





Description of the original data sources: All of the NASA IMPACTS data are archived by GHRC at https://ghrc.nsstc.nasa.gov/uso/ds_details/collections/impactsC.html (McMurdie et al., 2019). The NSF PLOWS 1-second flight-level data are archived by the UCAR Earth Observing Laboratory at https://data.eol.ucar.edu/dataset/113.063 (UCAR/NCAR - Earth Observing Laboratory, 2011). ERA5 hourly data on pressure levels are available from the Copernicus Climate Data Store at https://cds.climate.copernicus.eu/datasets/reanalysis-era5-pressure-levels?tab=overview (Hersbach et al., 2023b). ERA5 hourly single-level data are available from the Copernicus Climate Data Store at https://cds.climate.copernicus.eu/datasets/reanalysis-era5-single-levels?tab=overview (Hersbach et al., 2023a).
DOI: 10.15468/dl.xyxad7
title: Occurrence Download

description: A dataset containing 24855 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Orcinus orca (Linnaeus, 1758)"
 ]
}

 The dataset includes 24855 records from 398 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017007-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15045732
title: HANDFUL project energy data

description: This dataset contains high-granularity measurements recorded using 10 IoT electricity meters regarding machines such as ovens, mixers, and packaging modules. This open dataset can be utilized by any interested researcher as an industrial high-granularity electricity consumption experimentation dataset to build and train models for different tasks, such as anomaly detection, Nonintrusive load monitoring (NILM), demand forecasting, and energy savings.

The dataset was a result of the HANDFUL project pilot, which was funded under the EARASHI 1st open call (Grant agreement: 101069994).

HANDFUL project flyer: https://earashi.eu/wp-content/uploads/2024/03/HANDFUL-2.pdf HANDFUL project website: https://earashi.eu/plegma-labs-hajos-bakery/
DOI: 10.5281/zenodo.15045733
title: HANDFUL project energy data

description: This dataset contains high-granularity measurements recorded using 10 IoT electricity meters regarding machines such as ovens, mixers, and packaging modules. This open dataset can be utilized by any interested researcher as an industrial high-granularity electricity consumption experimentation dataset to build and train models for different tasks, such as anomaly detection, Nonintrusive load monitoring (NILM), demand forecasting, and energy savings.

The dataset was a result of the HANDFUL project pilot, which was funded under the EARASHI 1st open call (Grant agreement: 101069994).

HANDFUL project flyer: https://earashi.eu/wp-content/uploads/2024/03/HANDFUL-2.pdf HANDFUL project website: https://earashi.eu/plegma-labs-hajos-bakery/
DOI: 10.4121/3943ba4d-965c-46ce-a211-230351c8fc61
title: Data underlying Chapter 2 of the PhD thesis: Chemical Imaging Methods for Cultural Heritage: Advanced Data Acquisition and Processing

description: *** L.M. de Almeida Nieto Ph.D. Dissertation "Chemical Imaging Methods for Cultural Heritage: Advanced Data Acquisition and Processing" Chapter 2: Comparison of macro x-ray fluorescence and reflectance imaging spectroscopy for the semi-quantitative analysis of pigments in easel paintings: A study on lead white and blue verditer Related Data***Authors: L.M. de Almeida Nieto, F. Gabrieli, A. van Loon, V. Gonzalez, J. Dik, R. Van de Plas, M. AlfeldMaterials Science and Engineering Department, Faculty of Mechanical Engineering, DelftUniversity of TechnologyCorresponding author: L.M. de Almeida NietoContact Information:luisdealmeida95@gmail.comDelft University of Technology - Faculty of Mechanical EngineeringThe Netherlands<br>***General Introduction***This dataset contains all the data relevant to Chapter 2 of L.M. de Almeida Nieto's doctoral dissertation, collected between 2019 and 2023, the results of which are published in:https://doi.org/10.1002/xrs.3394The data in this data set was collected in the Conservation and Science Department of the Rijksmuseum, Amsterdam.This research project was made possible by by funding from the Rijksmuseum and TU Delft.<br>***Purpose of the test campaign***The purpose of these experiments was to evaluate the potential of MA-XRF and RIS for the quantitative analysis of paint layers in easel paintings.<br>***Test equipment***MA-XRF data was acquired using a Bruker M6 jetstream.VNIR-RIS data was acquired using a Surface Optics SOC710-E hyperspectral camera.SWIR-RIS data was acquired using a Headwall Photonics Micro-Hyperspec SWIR 640 hyperspectral camera.
DOI: 10.4121/3943ba4d-965c-46ce-a211-230351c8fc61.v1
title: Data underlying Chapter 2 of the PhD thesis: Chemical Imaging Methods for Cultural Heritage: Advanced Data Acquisition and Processing

description: *** L.M. de Almeida Nieto Ph.D. Dissertation "Chemical Imaging Methods for Cultural Heritage: Advanced Data Acquisition and Processing" Chapter 2: Comparison of macro x-ray fluorescence and reflectance imaging spectroscopy for the semi-quantitative analysis of pigments in easel paintings: A study on lead white and blue verditer Related Data***Authors: L.M. de Almeida Nieto, F. Gabrieli, A. van Loon, V. Gonzalez, J. Dik, R. Van de Plas, M. AlfeldMaterials Science and Engineering Department, Faculty of Mechanical Engineering, DelftUniversity of TechnologyCorresponding author: L.M. de Almeida NietoContact Information:luisdealmeida95@gmail.comDelft University of Technology - Faculty of Mechanical EngineeringThe Netherlands<br>***General Introduction***This dataset contains all the data relevant to Chapter 2 of L.M. de Almeida Nieto's doctoral dissertation, collected between 2019 and 2023, the results of which are published in:https://doi.org/10.1002/xrs.3394The data in this data set was collected in the Conservation and Science Department of the Rijksmuseum, Amsterdam.This research project was made possible by by funding from the Rijksmuseum and TU Delft.<br>***Purpose of the test campaign***The purpose of these experiments was to evaluate the potential of MA-XRF and RIS for the quantitative analysis of paint layers in easel paintings.<br>***Test equipment***MA-XRF data was acquired using a Bruker M6 jetstream.VNIR-RIS data was acquired using a Surface Optics SOC710-E hyperspectral camera.SWIR-RIS data was acquired using a Headwall Photonics Micro-Hyperspec SWIR 640 hyperspectral camera.
DOI: 10.5281/zenodo.15051886
title: HISTÓRIA DA MANDIOCA: ENTRE SABERES ANCESTRAIS E TERRITÓRIOS DE CULTURAS

description: O artigo é resultado dos processos de aprendizagem desenvolvidos com turmas do 2º ano do Ensino Médio, a partir do grupo de estudo "História da mandioca: conhecimentos indígenas em circulação atlântica", no bojo das atividades do Projeto Cartografia da Cultura Afro-Brasileira e Indígena. Por meio de uma abordagem metodológica pautada nas trocas e encruzilhadas (Rufino, 2019), que se propôs a entrecruzar saberes históricos e compartilhar narrativas, além de engendrar processos de produção artística por meio de referenciais nacionais contemporâneos, os saberes ancestrais indígenas foram revisitados e experienciados em contato direto com a comunidade do Arajivu, no município de Bragança, onde os lugares se tornaram territórios de culturas e as vivências, dispositivos para a criação de novos conceitos e modos de ver a mandioca.
DOI: 10.5281/zenodo.15051887
title: HISTÓRIA DA MANDIOCA: ENTRE SABERES ANCESTRAIS E TERRITÓRIOS DE CULTURAS

description: O artigo é resultado dos processos de aprendizagem desenvolvidos com turmas do 2º ano do Ensino Médio, a partir do grupo de estudo "História da mandioca: conhecimentos indígenas em circulação atlântica", no bojo das atividades do Projeto Cartografia da Cultura Afro-Brasileira e Indígena. Por meio de uma abordagem metodológica pautada nas trocas e encruzilhadas (Rufino, 2019), que se propôs a entrecruzar saberes históricos e compartilhar narrativas, além de engendrar processos de produção artística por meio de referenciais nacionais contemporâneos, os saberes ancestrais indígenas foram revisitados e experienciados em contato direto com a comunidade do Arajivu, no município de Bragança, onde os lugares se tornaram territórios de culturas e as vivências, dispositivos para a criação de novos conceitos e modos de ver a mandioca.
DOI: 10.15468/dl.arep85
title: Occurrence Download

description: A dataset listing the 522 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2021-2021"
 ]
}

 The dataset's 522 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017002-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14185067
title: Integrating time-series analysis and deep learning method to reconstruct the RTS dynamics in the Tibetan Plateau over  the past nearly four decades
title: RTS

description: Retrogressive thaw slumps (RTSs) represent a severe form of permafrost degradation exacerbated by climate warming. Current automated monitoring methods primarily depend on object-based deep learning (DL) approaches using very high-resolution (VHR) remote sensing imagery and spectral trajectory time-series analysis applied to medium-resolution imagery. DL methods are constrained by publicly available VHR data and computational limitations, their application at large areas in decadal scale remains challenging, whereas time-series analysis often suffers from low detection accuracy due to noise caused by climate fluctuation or human activities. Here, we propose a novel framework that integrates time-series analysis with DL method. The algorithm first conducts a pixel-based detection of surface disturbance through analysis of abrupt changes in vegetation indices derived from Landsat images. Then, the features of these disturbed clusters in VHR imagery are analyzed to confirm the RTS occurrence by using an object-based DL method
DOI: 10.6084/m9.figshare.28623233
title: Supplementary Materials for Earthquake dynamics sustained by seismic CO<sub>2</sub>

description: This material (in both word and pdf format) includes Material and Methods, Figures, and Tables.
DOI: 10.6084/m9.figshare.28623233.v1
title: Supplementary Materials for Earthquake dynamics sustained by seismic CO<sub>2</sub>

description: This material (in both word and pdf format) includes Material and Methods, Figures, and Tables.
DOI: 10.15468/dl.tucau5
title: Occurrence Download

description: A dataset containing 414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bolivia (Plurinational State of)",
 "OccurrenceStatus is Present",
 "TaxonKey is Urera baccifera (L.) Gaudich."
 ]
}

 The dataset includes 414 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017009-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/c8gcuy
title: JoinPair-1.tar

description: :unav
DOI: 10.57745/ncpluo
title: JoinPair.tar

description: Fasta file Archive
DOI: 10.57745/xqzscn
title: CNES.tar

description: :unav
DOI: 10.57745/y7jcpr
title: Data.tab

description: All physiologic data
DOI: 10.15468/dl.jzfka6
title: Occurrence Download

description: A dataset containing 13249428 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-79.39667 45.49904,-79.35578 43.4344,-76.52316 43.88278,-76.79102 46.30893,-79.4026 46.09773,-79.39667 45.49904))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 13249428 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016998-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yywuuh
title: Occurrence Download

description: A dataset containing 70637 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Procambarus clarkii (Girard, 1852))"
 ]
}

 The dataset includes 70637 records from 509 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016996-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nre3wk
title: Occurrence Download

description: A dataset containing 907 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Geometry POLYGON((101.84947 26.46269,104.09738 29.63909,105.80775 32.42455,106.68256 39.48241,106.04577 47.44226,96.38781 51.05073,89.17088 51.89978,76.64737 49.45876,69.32431 45.85029,64.76066 37.99657,61.15219 32.58387,61.47058 27.38343,69.6427 25.79146,78.34548 27.06504,83.86431 26.85277,88.85248 26.74664,95.3265 26.42825,96.91847 23.98723,99.0411 23.45657,101.84947 26.46269))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Triplophysa Rendahl, 1933"
 ]
}

 The dataset includes 907 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017011-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15051889
title: CHEMTAX-derived Phytoplankton Community Composition and Bio-optical Data

description: This data consist of CHEMTAX-derived phytoplankton community composition and bio-optical bvariables such as CDOM, and TSM from the west coast of Canada, collected from the spring and summer of 2018 and 2019.
DOI: 10.5281/zenodo.15051890
title: CHEMTAX-derived Phytoplankton Community Composition and Bio-optical Data

description: This data consist of CHEMTAX-derived phytoplankton community composition and bio-optical bvariables such as CDOM, and TSM from the west coast of Canada, collected from the spring and summer of 2018 and 2019.
DOI: 10.15468/dl.h3tnu7
title: Occurrence Download

description: A dataset containing 217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "StateProvince is one of (Vermont, Maine, New Hampshire, New York)",
 "TaxonKey is Betula glandulosa Michx."
 ]
}

 The dataset includes 217 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017013-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15051833
title: Complexes of N-Confused Porphyrin Derivatives as Ortho-Metallating Ligands. Synthesis, Structure, Redox Properties, and Chirality

description: 1. Cartesian coordinates of DFT-optimized structures in PDB format and calculation details with legend2. HPLC profiles and CD spectra in native format JASCO jws format (all), excel csv and Origin opj (selected).3. Electrochemistry in Origin opj format4. EPR data in native Bruker, ASCII and opj ORigin formats5. Mass spec spectra in native Bruker format6. NMR spectra (packed) in native Bruker format7. UV-vis-NIR spectra in native Varian format BSW, excel csv and Origin.9. X-ray data in CIF format and deviation analyses in csv and png formats
DOI: 10.5281/zenodo.15051834
title: Complexes of N-Confused Porphyrin Derivatives as Ortho-Metallating Ligands. Synthesis, Structure, Redox Properties, and Chirality

description: 1. Cartesian coordinates of DFT-optimized structures in PDB format and calculation details with legend2. HPLC profiles and CD spectra in native format JASCO jws format (all), excel csv and Origin opj (selected).3. Electrochemistry in Origin opj format4. EPR data in native Bruker, ASCII and opj ORigin formats5. Mass spec spectra in native Bruker format6. NMR spectra (packed) in native Bruker format7. UV-vis-NIR spectra in native Varian format BSW, excel csv and Origin.9. X-ray data in CIF format and deviation analyses in csv and png formats
DOI: 10.60656/62641d5a19114162
title: Custom collection of disdrometer, lidar, MWR single pointing, model, and radar data from Hyytiälä on 27 Feb 2025
DOI: 10.3886/e115404v2
title: National Neighborhood Data Archive (NaNDA): Eating and Drinking Places by Census Tract, United States, 2003-2017

description: This dataset contains measures of the number and density of eating and drinking places – including fast food restaurants, coffee shops, and bars – per census tract in the United States from 2003 through 2017.
description: Eating and drinking places in all
census tracts in the United States, including Puerto Rico and the US Virgin Islands. Smallest Geographic Unit: census tract
DOI: 10.3886/e121741v1
title: National Neighborhood Data Archive (NaNDA): Eating and Drinking Places by ZIP Code Tabulation Area, United States, 2003-2017

description: This dataset contains
measures of the number and density of eating and drinking places – including
fast food restaurants, coffee shops, and bars – per ZIP code tabulation area
(ZCTA) in the United States from 2003 through 2017.
description: Eating and drinking places in all
ZIP code tabulation areas in the United States, including Puerto Rico and the US Virgin Islands. Smallest Geographic Unit: ZIP code tabulation area
description: A ZIP code to ZCTA crosswalk must be used to combine this dataset with ZIP code geocoded data. Such a crosswalk is available on the UDS Mapper website at https://udsmapper.org/zip-code-to-zcta-crosswalk/. Sample code for merging the UDS Mapper crosswalk with NaNDA datasets is available on the NaNDA repository at https://www.openicpsr.org/openicpsr/project/120088/.
DOI: 10.3886/e208751
title: National Neighborhood Data Archive (NaNDA): Eating and Drinking Places by Census Tract and ZCTA, United States, 1990-2021

description: This dataset contains measures of the number and density of eating and drinking places per United States Census Tract or ZIP Code Tabulation Area (ZCTA) from 1990 through 2021. The dataset includes four separate files for four different geographic areas (GIS shapefiles from the United States Census Bureau). The four geographies include:● Census Tract 2010 ● Census Tract 2020● ZIP Code Tabulation Area (ZCTA) 2010 ● ZIP Code Tabulation Area (ZCTA) 2020<br><br>Information about which dataset to use can be found in the Usage Notes section of this document.
description: SIC code identified public-facing eating and drinking places in the fifty United States including Alaska and Hawaii and the US island territories. Smallest Geographic Unit: Census Tract
description: other;