cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.t6jfme
title: Occurrence Download

description: A dataset containing 7106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is North America",
 "Country is one of (United States of America, Mexico)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Opuntia phaeacantha Engelm."
 ]
}

 The dataset includes 7106 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064430-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yepbz4
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chaetomorpha Kützing, 1845",
 "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 ((20.2855 -34.7533,20.509 -34.5676,20.509 -32.9007,17.7723 -32.9007,17.8156 -33.0786,18.3471 -33.7176,18.3748 -33.8287,18.2181 -34.0492,18.3197 -34.3408,18.4452 -34.429,18.5435 -34.4213,18.5872 -34.3667,18.5363 -34.167,18.7345 -34.1508,18.7216 -34.3637,18.7808 -34.4521,19.0289 -34.4206,19.0831 -34.4835,19.2655 -34.5017,19.2032 -34.6157,19.2394 -34.6926,19.375 -34.6963,19.6091 -34.8524,19.8251 -34.8396,19.9798 -34.9064,20.1081 -34.8731,20.1517 -34.7847,20.2855 -34.7533))"
 ]
}

 The dataset includes 97 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064431-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g3hx94
title: Occurrence Download

description: A dataset containing 247 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bursera confusa (Rose) Engl."
 ]
}

 The dataset includes 247 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064432-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.75aysv
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.6.4_1",
 "TaxonKey is Bubo bubo (Linnaeus, 1758)"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064433-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29380535.v1
title: Increasing extreme maximum wind speed challenge offshore wind energy resilience

description: This study investigates how climate change is intensifying extreme ocean winds, posing growing risks to offshore wind energy systems. By analyzing hourly global wind speed data from ERA5 during 1940-2023, the researchers quantify long-term trends in the fifty-year return period wind speed (<i>U50</i>)—a crucial factor in wind turbine design.
DOI: 10.5281/zenodo.15718931
title: Plant-soil microbe adaptive strategies reshape soil respiration components under multi-year precipitation frequency reduction and nitrogen addition in a semi-arid grassland
DOI: 10.5281/zenodo.15718932
title: Plant-soil microbe adaptive strategies reshape soil respiration components under multi-year precipitation frequency reduction and nitrogen addition in a semi-arid grassland
DOI: 10.15468/dl.jzwv3g
title: Occurrence Download

description: A dataset containing 16928 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((16.947346762810735 48.00814945636669, 16.96369722963408 48.12726725379126, 16.787044672794313 48.13831201053527, 16.771102912402835 48.019164392577025, 16.947346762810735 48.00814945636669))"
 ]
}

 The dataset includes 16928 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064435-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bmay4q
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Disporum uniflorum Baker"
 ]
}

 The dataset includes 174 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064436-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15108442
title: 1.5-million year ice-sheet model results and model code: Supplement to Scherrenberg et al. (2025)

description: Model results and code as supplement for Scherrenberg et al. (2025).  Results contain ice-sheet model results covering the Northern Hemisphere ice-sheet evolution of the past 1.5 million years.

Model code:

Model code is stored in IMAU-ICE_code.zip. Please note that running the model requires additional datasets, these include: 



CO2 (Bereiter et al., 2015; Yamamoto et al., 2022),

climate forcing (PMIP4 database: https://esgf-node.ipsl.upmc.fr/search/cmip6-ipsl/TS9, last access: 16 August 2024),

insolation (Laskar et al., 2004, Tzedakis et al., 2017), 

initial topography (ETOPO: https://doi.org/10.7289/V5C8276M, Amante and Eakins, 2009;

BedMachine: https://doi.org/10.5067/5XKQD5Y5V3VN, NSIDC,2024),

basal friction (Gowan et al., 2019; Laske and Masters,1997)


Model results:

The results*.zip contain the results of ice-sheet model simulations that cover the past 1.5 million years, as well as the settings/configuration file used to conduct the simulations.

2D-fields are stored in the help_fields netcdf files. 1D-scalars of global variables are stored in scalar_output_global.nc. The 1D-scalars of individual ice sheets are stored in scalar_output_NAM/EAS/GRL, where NAM is North America, EAS is Eurasia, and GRL is Greenland.
DOI: 10.5281/zenodo.15108443
title: 1.5-million year ice-sheet model results and model code: Supplement to Scherrenberg et al. (2025)

description: Model results and code as supplement for Scherrenberg et al. (2025).  Results contain ice-sheet model results covering the Northern Hemisphere ice-sheet evolution of the past 1.5 million years.

Model code:

Model code is stored in IMAU-ICE_code.zip. Please note that running the model requires additional datasets, these include: 



CO2 (Bereiter et al., 2015; Yamamoto et al., 2022),

climate forcing (PMIP4 database: https://esgf-node.ipsl.upmc.fr/search/cmip6-ipsl/TS9, last access: 16 August 2024),

insolation (Laskar et al., 2004, Tzedakis et al., 2017), 

initial topography (ETOPO: https://doi.org/10.7289/V5C8276M, Amante and Eakins, 2009;

BedMachine: https://doi.org/10.5067/5XKQD5Y5V3VN, NSIDC,2024),

basal friction (Gowan et al., 2019; Laske and Masters,1997)


Model results:

The results*.zip contain the results of ice-sheet model simulations that cover the past 1.5 million years, as well as the settings/configuration file used to conduct the simulations.

2D-fields are stored in the help_fields netcdf files. 1D-scalars of global variables are stored in scalar_output_global.nc. The 1D-scalars of individual ice sheets are stored in scalar_output_NAM/EAS/GRL, where NAM is North America, EAS is Eurasia, and GRL is Greenland.
DOI: 10.15468/dl.4v8d3v
title: Occurrence Download

description: A dataset containing 533 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bursera multijuga Engl."
 ]
}

 The dataset includes 533 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064440-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gf6hfa
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Leopardus colocolo (Molina, 1782)"
 ]
}

 The dataset includes 12 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064438-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tynvwe
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chaetomorpha Kützing, 1845",
 "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 ((35.628 -23.023,35.6007 -22.9702,35.6007 -23.165,35.628 -23.023))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064439-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.29380625
title: The distribution of Ephemeroptera, Plecoptera and Trichoptera in a Norwegian alpine catchment in relation to environmental gradients

description: We investigated assemblages and distribution of Ephemeroptera, Plecoptera and Trichoptera in a mountain stream catchment and their relationship to environmental variables. Sampling stations were located along an altitudinal gradient from subalpine birch forest to low alpine tundra in the Øvre Heimdalen Valley in the Norwegian Jotunheimen Mountains. The aquatic insects were sampled using a kick net in June, July and September. At the same time environmental variables (e.g., water temperature, substrate composition) were measured and water samples taken for analysis. The mayfly, <i>Baetis rhodani</i> (Pictet, 1843) (Ephemeroptera) dominated all reaches, except the outlet of Øvre Heimdalsvatn Lake, where the trichopteran filter feeder <i>Polycentropus flavomaculatus</i> (Pictet, 1834) was recorded as the most abundant species. Along with increase in altitude, there was a decrease in taxa richness. The main environmental variables explaining species distribution were discharge, substrate size and water temperature. Canonical Correspondence Analysis (CCA) clearly separated the outlet of the Øvre Heimdalsvatn Lake, and the reach downstream of the small Brurskardtjern Lake from the other stream sites situated upstream of the Øvre Heimdalsvatn Lake. This indicates the distinction between alpine streams and alpine lake outlets where filter feeders are numerous, feeding on the abundant seston of lacustrine origin.
DOI: 10.6084/m9.figshare.29380625.v1
title: The distribution of Ephemeroptera, Plecoptera and Trichoptera in a Norwegian alpine catchment in relation to environmental gradients

description: We investigated assemblages and distribution of Ephemeroptera, Plecoptera and Trichoptera in a mountain stream catchment and their relationship to environmental variables. Sampling stations were located along an altitudinal gradient from subalpine birch forest to low alpine tundra in the Øvre Heimdalen Valley in the Norwegian Jotunheimen Mountains. The aquatic insects were sampled using a kick net in June, July and September. At the same time environmental variables (e.g., water temperature, substrate composition) were measured and water samples taken for analysis. The mayfly, <i>Baetis rhodani</i> (Pictet, 1843) (Ephemeroptera) dominated all reaches, except the outlet of Øvre Heimdalsvatn Lake, where the trichopteran filter feeder <i>Polycentropus flavomaculatus</i> (Pictet, 1834) was recorded as the most abundant species. Along with increase in altitude, there was a decrease in taxa richness. The main environmental variables explaining species distribution were discharge, substrate size and water temperature. Canonical Correspondence Analysis (CCA) clearly separated the outlet of the Øvre Heimdalsvatn Lake, and the reach downstream of the small Brurskardtjern Lake from the other stream sites situated upstream of the Øvre Heimdalsvatn Lake. This indicates the distinction between alpine streams and alpine lake outlets where filter feeders are numerous, feeding on the abundant seston of lacustrine origin.
DOI: 10.15468/dl.vk4t79
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Corydalis decumbens (Thunb.) Pers."
 ]
}

 The dataset includes 196 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064442-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29377646
title: Polar Plant Dataset

description: This dataset contains the raw data for supporting a paper on the Arctic plant species range shifts in response to climate change. There are 4 zip file containing general environmental factors (ENVI.zip), plant occurrences data (SppOcc.zip), bioclimatic data layers (SSPs.zip), R code file for the analysis (R_Scripts.zip), and the Figure generating codes in R (FigCodes.zip).
DOI: 10.6084/m9.figshare.29377646.v2
title: Polar Plant Dataset

description: This dataset contains the raw data for supporting a paper on the Arctic plant species range shifts in response to climate change. There are 4 zip file containing general environmental factors (ENVI.zip), plant occurrences data (SppOcc.zip), bioclimatic data layers (SSPs.zip), R code file for the analysis (R_Scripts.zip), and the Figure generating codes in R (FigCodes.zip).
DOI: 10.6084/m9.figshare.29377646.v1
title: Polar Plant Dataset

description: This dataset contains the raw data for supporting a paper on the Arctic plant species range shifts in response to climate change. There are 4 zip file containing general environmental factors (ENVI.zip), plant occurrences data (SppOcc.zip), bioclimatic data layers (SSPs.zip), and R code file for the analysis (R_Scripts.zip).
DOI: 10.15468/dl.mey8yc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chaetomorpha Kützing, 1845",
 "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 ((35.6306 -23.844,35.6007 -23.8125,35.6007 -24.0157,35.6306 -23.844))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064443-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15348290
title: Data: 'Nature of the year' in Germany: an effective policy to raise public awareness?

description: The occurrence and google Trends datasets used in this study are provided as supporting information. The original occurrence data can be downloaded from GBIF via the doi links provided in the data source section of the publication.
DOI: 10.5281/zenodo.15348291
title: Data: 'Nature of the year' in Germany: an effective policy to raise public awareness?

description: The occurrence and google Trends datasets used in this study are provided as supporting information. The original occurrence data can be downloaded from GBIF via the doi links provided in the data source section of the publication.
DOI: 10.15468/dl.xr4zt5
title: Occurrence Download

description: A dataset containing 120 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nyctimene rabori Heaney & Peterson, 1984"
 ]
}

 The dataset includes 120 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064444-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.je2szu
title: Occurrence Download

description: A dataset containing 36515 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taxon occurrence data for the FungalRoot database"
 ]
}

 The dataset includes 36515 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064446-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a2v4ks
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bursera fragilis S.Watson"
 ]
}

 The dataset includes 77 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064445-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e233881
title: Quick Ways to connect: How can I speak with Delta Airlines anytime~Full time available 24/7

description: The fastest and most reliable way to reach Delta Airlines Customer service is through their dedicated phone line. By dialing +1↳855↳534↔2012 [𝒟𝑒𝓁𝓉𝒶 𝒜𝒾𝓇𝓁𝒾𝓃𝑒𝓈 𝒞𝓊𝓈𝓉𝑜𝓂𝑒𝓇 𝓈𝑒𝓇𝓋𝒾𝒸𝑒™], you’ll be connected directly with a live person who can assist you with your travel-related queries. This line operates 24/7, ensuring you can always get help when you need it, whether it’s for flight changes, seat selection, or last-minute booking issues.<br>
DOI: 10.15468/dl.acb8qa
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chroodactylon Hansgirg, 1885",
 "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 ((30.0251 -31.3959,30.5701 -30.7329,30.5701 -28.5786,25.5395 -28.5786,25.5395 -32.9007,28.2048 -32.9007,28.5753 -32.6569,29.4902 -31.7517,30.0251 -31.3959))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064447-250525065834625/datasets/export for details.
DOI: 10.4121/136aa5df-1907-43ac-a5b0-e0ea8f2dedf3
title: Multi-year monitoring data of subsurface water conditions for Dutch canal dikes

description: <strong>This dataset has been updated with measurements of hydraulic head, soil moisture content, soil temperature and soil salinity up to March 2025.</strong><br>This dataset consists of subsurface water measurements (soil moisture and hydraulic head levels) from a monitoring network for canal dikes with different characteristics in the western Netherlands. Subsoil and geometric information of the canal dikes and meteorological data is made available as well. The first three years of measurements, from spring 2020 until March 2023, and site-specific information are made available. The data include two extremely dry summers (2020 and 2022).The following data are made available:Soil moisture content, soil temperature and soil salinity data (time series)Hydraulic head data (time series)Local rainfall and potential evaporation (time series)Cross-sectional profile (elevation profile from survey)Bore profiles and soil characteristics data (soil description and laboratory) The network monitors soil moisture and soil temperature in the unsaturated zone at every dike with 10-12 sensors at every location, with additional information about salinity in the crest of the dike. The sensors are installed at various positions within the cross-sectional profile at different depths. The positions of the sensors are generally at depths of 20, 50, 75 and 120cm below the surface. However, in some instances, we diverge from this set-up for practical considerations (high groundwater levels or subsoil conditions (e.g. gravel layers) making readings irrelevant or sensors difficult to install). The logging time interval is set to 1 hour.The network has been operational since spring 2020 and the measurements are ongoing.Authors appreciate being informed when using the data. New data will be added to the collection.
DOI: 10.4121/136aa5df-1907-43ac-a5b0-e0ea8f2dedf3.v2
title: Multi-year monitoring data of subsurface water conditions for Dutch canal dikes

description: <strong>This dataset has been updated with measurements of hydraulic head, soil moisture content, soil temperature and soil salinity up to March 2025.</strong><br>This dataset consists of subsurface water measurements (soil moisture and hydraulic head levels) from a monitoring network for canal dikes with different characteristics in the western Netherlands. Subsoil and geometric information of the canal dikes and meteorological data is made available as well. The first three years of measurements, from spring 2020 until March 2023, and site-specific information are made available. The data include two extremely dry summers (2020 and 2022).The following data are made available:Soil moisture content, soil temperature and soil salinity data (time series)Hydraulic head data (time series)Local rainfall and potential evaporation (time series)Cross-sectional profile (elevation profile from survey)Bore profiles and soil characteristics data (soil description and laboratory) The network monitors soil moisture and soil temperature in the unsaturated zone at every dike with 10-12 sensors at every location, with additional information about salinity in the crest of the dike. The sensors are installed at various positions within the cross-sectional profile at different depths. The positions of the sensors are generally at depths of 20, 50, 75 and 120cm below the surface. However, in some instances, we diverge from this set-up for practical considerations (high groundwater levels or subsoil conditions (e.g. gravel layers) making readings irrelevant or sensors difficult to install). The logging time interval is set to 1 hour.The network has been operational since spring 2020 and the measurements are ongoing.Authors appreciate being informed when using the data. New data will be added to the collection.
DOI: 10.5281/zenodo.15711066
title: The change of Na storage mechanism from Soft Carbon to Hard Carbon

description: Dataset for microstructure effect to Na storage mechanism.

Abstract:
Carbon materials: Soft Carbon and Hard Carbon, are two of the most promising for Sodium ion batteries anodes. However, the relation between Na storage mechanism and microstructure of Carbon materials are well not understood. In this work, we extend our previous phenomenological model and develop an efficient mean field theory for the calculation of OCV of carbon materials ranging from Soft Carbon to Hard Carbon with closed pores and open pores, respectively. Our model utilizes a very simple model for the energetic sites within the microstructure of disordered carbon materials and aims for a unifying picture of the Na storage mechanism in carbon materials ranging from soft carbon to hard carbons. In addition, we also study the impact of the current density on the utilization of energetic sites in the microstructure of hard carbon.