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

description: A dataset containing 38209 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amazona aestiva (Linnaeus, 1758))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 38209 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0290205-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tty6xc
title: Occurrence Download

description: A dataset containing 1846058 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "Country is one of (China, Hong Kong, Macao, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta",
 "Year 1950-2022"
 ]
}

 The dataset includes 1846058 records from 263 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0167458-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sgrae7
title: Occurrence Download

description: A dataset containing 28973 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Animalia",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Country is one of (Djibouti, Ethiopia, Kenya)",
 "HasGeospatialIssue is FALSE",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than 1000",
 "Year is greater than or equal to 2020"
 ]
}

 The dataset includes 28973 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009917-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ax7bad
title: Occurrence Download

description: A dataset containing 134762 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "DatasetKey is Meise Botanic Garden Herbarium (BR)",
 "IsInCluster is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 134762 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0167519-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cv6vfb
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Betula ashburneri McAll. & Rushforth"
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0290207-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ajnddt
title: Occurrence Download

description: A dataset containing 140997 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abutilon palmeri A.Gray, Abutilon parvulum A.Gray, Acourtia nana (A.Gray) Reveal & R.M.King, Acourtia wrightii (A.Gray) Reveal & R.M.King, Adenophyllum porophylloides (A.Gray) Strother, Ambrosia ambrosioides (Cav.) W.W.Payne, Ambrosia deltoidea (Torr.) W.W.Payne, Ambrosia dumosa (A.Gray) W.W.Payne, Ambrosia eriocentra (A.Gray) W.W.Payne, Ambrosia salsola (Torr. & A.Gray) Strother & B.G.Baldwin, Amsinckia tessellata A.Gray, Androsace occidentalis Pursh, Anisacanthus thurberi (Torr.) A.Gray, Argemone pleiacantha Greene, Aristida pansa Wooton & Standl., Aristolochia watsonii Wooton & Standl., Asclepias nyctaginifolia A.Gray, Asclepias subulata Decne., Astrolepis windhamii D.M.Benham, Athysanus pusillus (Hook.) Greene, Atriplex canescens (Pursh) Nutt., Ayenia filiformis S.Watson, Baccharis sarothroides A.Gray, Baileya multiradiata Harv. & A.Gray ex Torr., Boechera perennans (S.Watson) W.A.Weber, Boerhavia coulteri (Hook.fil.) S.Watson, Boerhavia spicata Choisy, Boerhavia wrightii A.Gray, Bothriochloa barbinodis (Lag.) Herter, Bouteloua aristidoides (Kunth) Griseb., Bouteloua barbata Lag., Bowlesia incana Ruiz & Pav., Brickellia coulteri A.Gray, Bromus arizonicus (Shear) Stebbins, Bromus arvensis L., Calandrinia ciliata (Ruiz & Pav.) DC., Celtis laevigata var. reticulata (Torr.) L.D.Benson, Chaenactis stevioides Hook. & Arn., Chenopodium pratericola Rydb., Cirsium neomexicanum A.Gray, Crassula connata (Ruiz & Pav.) A.Berger, Cryptantha barbigera (A.Gray) Greene, Cryptantha decipiens (M.E.Jones) A.Heller, Cryptantha maritima (Greene) Greene, Cryptantha muricata (Hook. & Arn.) A.Nelson & J.F.Macbr., Cuscuta umbellata Kunth, Descurainia sophia (L.) Webb ex Prantl, Dichelostemma capitatum (Benth.) Alph.Wood, Dimorphotheca sinuata DC., Encelia virginensis A.Nelson)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 140997 records from 888 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0167509-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bj7ebf
title: Occurrence Download

description: A dataset listing the 121678 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence, Machine Observation, Material sample, Specimen)"
 ]
}

 The dataset's 121678 records were derived from 2336 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0290212-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tjzx75
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pleurothallis carvalhoi Luer & Toscano"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002112-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aunk6c
title: Occurrence Download

description: A dataset containing 2381 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Juniperus grandis R.P.Adams"
 ]
}

 The dataset includes 2381 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002111-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-01.3013285/2504128
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3013287/2504129
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3013288/2504130
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3013291/2504131
title: Data for EMSL Project 51287 from January 2024
DOI: 10.5281/zenodo.14722561
title: Filtered TEC data and GPS L1 carrier phase recordings with high temporal resolution. Supplementary data for the paper entitled "A carrier phase hybrid model for adjusting the procedures to process ionospheric radio sounding measurements with high temporal resolution"

description: Here there are real records of de-trended TEC variations with a period of 20-60, 10-20 and 2-10 min and the GPS L1 carrier phase records of high temporal resolution (50 Hz). These data were utilized to test: 

1.    quality approximation of the Large scale (LS), Mid Scale (MS) and isolated travelling ionospheric disturbances (TID) by equations (11-13); 

2.    the model abilities to emulate ionospheric scintillations (Equations 14-22) and GPS receiver noise (Equations 24-29). 

The model is presented in the manuscript Demyanov V.V., Danilchuk E.I., Zhang B., Ratnam D.V., and Yasyukevich Y.V. A carrier phase hybrid model for adjusting the procedures to process ionospheric radio sounding measurements with high temporal resolution.

The de-trended and filtered TEC data can be found on the SIMuRG data source (https://simurg.space/, [Yasyukevich et al., 2020]. SIMuRG service provides all necessary TEC data by the user’s on-line request (see here for details https://simurg.iszf.irk.ru/documentation/how_to_web). The file of the output data is presented in specific HDF format. If necessary, this data can be converted into another readable format by means of special on-line Python software tools (see here for details https://simurg.iszf.irk.ru/notebooks).

Here there are de-trended and filtered TEC variations of 20-60, 10-20 and 2-10 min periods from the SIMuRG recorded with 30 s period for GPS satellite № 27 on September 01, 2022 within 19:00 - 20:00 UT.

The real carrier phase records of high temporal resolution have the 50 Hz registration frequency. The carrier phase of GPS signal was recorded at 1575.25 MHz from satellite № 27 at the mid-latitude station ISTP (52° N, 104° E) on June 22, 2015 under strong geomagnetic storm conditions. The station ISTP is equipped with JAVAD DELTA-3S Multi-Purpose GNSS Receiver [https://www.javad.com] and it is included into SibNet network [Yasyukevich et al, 2018].
DOI: 10.5281/zenodo.14722562
title: Filtered TEC data and GPS L1 carrier phase recordings with high temporal resolution. Supplementary data for the paper entitled "A carrier phase hybrid model for adjusting the procedures to process ionospheric radio sounding measurements with high temporal resolution"

description: Here there are real records of de-trended TEC variations with a period of 20-60, 10-20 and 2-10 min and the GPS L1 carrier phase records of high temporal resolution (50 Hz). These data were utilized to test: 

1.    quality approximation of the Large scale (LS), Mid Scale (MS) and isolated travelling ionospheric disturbances (TID) by equations (11-13); 

2.    the model abilities to emulate ionospheric scintillations (Equations 14-22) and GPS receiver noise (Equations 24-29). 

The model is presented in the manuscript Demyanov V.V., Danilchuk E.I., Zhang B., Ratnam D.V., and Yasyukevich Y.V. A carrier phase hybrid model for adjusting the procedures to process ionospheric radio sounding measurements with high temporal resolution.

The de-trended and filtered TEC data can be found on the SIMuRG data source (https://simurg.space/, [Yasyukevich et al., 2020]. SIMuRG service provides all necessary TEC data by the user’s on-line request (see here for details https://simurg.iszf.irk.ru/documentation/how_to_web). The file of the output data is presented in specific HDF format. If necessary, this data can be converted into another readable format by means of special on-line Python software tools (see here for details https://simurg.iszf.irk.ru/notebooks).

Here there are de-trended and filtered TEC variations of 20-60, 10-20 and 2-10 min periods from the SIMuRG recorded with 30 s period for GPS satellite № 27 on September 01, 2022 within 19:00 - 20:00 UT.

The real carrier phase records of high temporal resolution have the 50 Hz registration frequency. The carrier phase of GPS signal was recorded at 1575.25 MHz from satellite № 27 at the mid-latitude station ISTP (52° N, 104° E) on June 22, 2015 under strong geomagnetic storm conditions. The station ISTP is equipped with JAVAD DELTA-3S Multi-Purpose GNSS Receiver [https://www.javad.com] and it is included into SibNet network [Yasyukevich et al, 2018].
DOI: 10.25582/data.2024-01.3013294/2504132
title: Data for EMSL Project 51287 from January 2024
DOI: 10.15468/dl.ewchry
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pleurothallis carvalhoi Luer & Toscano"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002113-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-01.3013300/2504133
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3013305/2504134
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3013306/2504135
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3013307/2504136
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3013318/2504137
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3013320/2504138
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3013324/2504139
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3013325/2504140
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3013327/2504141
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3013375/2504142
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3013414/2504143
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3013420/2504144
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3013421/2504145
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3013428/2504146
title: Data for EMSL Project 51287 from January 2024
DOI: 10.15468/dl.b3tnzj
title: Occurrence Download

description: A dataset containing 3334 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pinanga Blume)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3334 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002115-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-01.3013436/2504147
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3013437/2504148
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3013439/2504149
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3013441/2504150
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3013442/2504151
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3013443/2504152
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3013445/2504153
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3013446/2504154
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3013449/2504155
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3013450/2504156
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3013451/2504157
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3013465/2504158
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3013469/2504159
title: Data for EMSL Project 51287 from January 2024
DOI: 10.15468/dl.4tb34m
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pleurothallis carvalhoi Luer & Toscano"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002117-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-01.3013299/2504160
title: Data for EMSL Project 60673 from January 2024
DOI: 10.25582/data.2024-01.3013326/2504161
title: Data for EMSL Project 51637 from January 2024
DOI: 10.25582/data.2024-01.3013331/2504162
title: Data for EMSL Project 51637 from January 2024
DOI: 10.25582/data.2024-01.3013332/2504163
title: Data for EMSL Project 51637 from January 2024
DOI: 10.25582/data.2024-01.3013333/2504164
title: Data for EMSL Project 51637 from January 2024
DOI: 10.25582/data.2024-01.3013349/2504165
title: Data for EMSL Project 51637 from January 2024
DOI: 10.25984/2504170
title: Low-Income Energy Affordability Data - LEAD Tool - 2022 Update

description: The Low-Income Energy Affordability Data (LEAD) Tool was created by the Better Building's Clean Energy for Low Income Communities Accelerator (CELICA) to help state and local partners understand housing and energy characteristics for the low- and moderate-income (LMI) communities they serve. The LEAD Tool provides estimated LMI household energy data based on income, energy expenditures, fuel type, housing type, and geography, which stakeholders can use to make data-driven decisions when planning for their energy goals. From the LEAD Tool website, users can also create and download customized heat-maps and charts for various geographies, housing, energy characteristics, and population demographics and educational attainment. Datasets are available for 50 states plus Puerto Rico and Washington D.C., along with their cities, counties, and census tracts, as well as tribal areas. The file below, "01. Description of Files," provides a list of all files included in this dataset. A description of the abbreviations and units used in the LEAD Tool data can be found in the file below titled "02. Data Dictionary 2022". A list of geographic regions used in the LEAD Tool can be found in files 04-11. The Low-Income Energy Affordability Data comes primarily from the 2022 U.S. Census American Community Survey 5-Year Public Use Microdata Samples and is calibrated to 2022 U.S. Energy Information Administration electric utility (Survey Form-861) and natural gas utility (Survey Form-176) data. The methodology for the LEAD Tool can viewed below (3. Methodology Document). For more information, and to access the interactive LEAD Tool platform, please visit the "10. LEAD Tool Platform" resource link below. For more information on the Better Building's Clean Energy for Low Income Communities Accelerator (CELICA), please visit the "11. CELICA Website" resource below.
DOI: 10.25984/2504176
title: WIND Toolkit Long-Term Ensemble Dataset

description: WIND Toolkit Long-term Ensemble Dataset (WTK-LED), an updated version of the meteorological WIND Toolkit, is a meteorological dataset providing high-resolution time series, including interannual variability and model uncertainty of wind speed at every modeling grid point to indicate ranges of possible wind speeds. The data were produced using the Weather Research and Forecasting Model (WRF). The vertical grid used in WTK-LED includes many vertical layers in the atmospheric boundary layer to provide information of atmospheric quantities across the rotor layer of utility scale and distributed wind turbines. The WTK-LED includes: (1) Numerical simulations of wind speed and other meteorological variables covering the contiguous United States (CONUS) and Alaska, with high-resolution (5-minute [min], 2-kilometer [km]) data for 3 years (2018-2020): WTK-LED CONUS, WTK-LED Alaska. (2) Climate simulations from Argonne National Laboratory covering North America, including Alaska, Canada, and most of Mexico and the Caribbean islands. These simulations complement the new WTK-LED to offer a 4-km, hourly dataset covering 20 years (2001-2020): WTK-LED Climate. (3) Specific long-term, high-resolution offshore simulations have been conducted separately for the U.S. coasts, Hawaii, and the Great Lakes, leading to the 2023 National Offshore Wind dataset: NOW-23. The data for Hawaii include land-based data and are part of WTK-LED Hawaii. Because the accuracy of simulations from a mesoscale model, such as WRF, varies depending on the location and weather situation, and can reach up to several m/s for wind speed, we provide simulated wind speed uncertainty estimates to the community to be used in conjunction with the deterministic model simulations. This dataset was developed to satisfy a wide group of stakeholders across various wind energy disciplines, including but not limited to stakeholders in the distributed and utility scale wind industry, the new emerging airborne wind energy field, grid integration, power systems modeling, environmental modeling, and researchers in academia, and to close some of the gaps that current public datasets have. Based on our validation results to date, we suggest use cases and applications for each dataset of the WTK-LED as shown in "WTK-LED Use Cases" resource below.
DOI: 10.5281/zenodo.14722559
title: Carbon Dots with Wide-Spectrum Absorption for Enhanced Anti-Aging of Poly(vinyl chloride) Films
DOI: 10.5281/zenodo.14722560
title: Carbon Dots with Wide-Spectrum Absorption for Enhanced Anti-Aging of Poly(vinyl chloride) Films
DOI: 10.5281/zenodo.14722570
title: Carbon Dots with Wide-Spectrum Absorption for Enhanced Anti-Aging of Poly(vinyl chloride) Films
DOI: 10.15468/dl.92dm4g
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pleurothallis carvalhoi Luer & Toscano"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002119-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.94pgkj
title: Occurrence Download

description: A dataset listing the 1002172 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tracheophyta"
 ]
}

 The dataset's 1002172 records were derived from 15182 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002107-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.761111
title: (Table 4) Fauna composition of the community of Nephtys ferruginea - Amphiura acrystata in bottom sediments from the shelf edge in the California upwelling zone
DOI: 10.15468/dl.ly2bmq
title: Occurrence Download

description: A dataset listing the 5 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pterostichus californicus (Dejean, 1828)"
 ]
}

 The dataset's 5 records were derived from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007258-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/ghvm9p
title: CardObs : Observations naturalistes issues de l'outil CardObs-Données naturalistes de DELANNOYE Régis

description: Les données issues de l'outil de gestion CardObs et de son application mobile Carnat (hors programme relavant d'un cadre d'acquisition spécifique) regroupent les observations de naturalistes expérimentés. Ces observations concernent la faune, la flore et la fonge tant continentales que marines. L’emprise géographique des saisies couvre la France métropolitaine et l’Outre-mer. Les données peuvent être opportunistes aussi bien que protocolées en fonction des utilisateurs, et peuvent disposer de champs complémentaires propres à chaque jeu de données. L'outil CardObs a été mis en place en 2007 par le Service du Patrimoine Naturel du MNHN. Il est actuellement géré par PatriNat (OFB, MNHN, CNRS, IRD).