cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.vaz8av
title: Occurrence Download

description: A dataset containing 152418 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Solidago canadensis L., Solidago eminens Bischoff, Solidago hirsuta L'Hér., Solidago mollis Rothr., Solidago humilis Mill., Solidago canadensis f. canadensis, Solidago tournefortii Tausch, Solidago canadensis var. glabrata Porter, Solidago hirsutissima var. hirsutissima, Solidago anthropogena H.Scholz, Solidago praecox Moench, Solidago canadensis var. intermedia Torr. & A.Gray, Solidago eminens Bischoff ex A.Gray, Solidago hirsuta L'Hér. ex DC., Solidago longifolia Schrad. ex DC., Solidago canadensis subsp. canadensis, Solidago nutans Desf., Solidago arcuata Tausch, Solidago nervosa Gaterau, Solidago reflexa Aiton, Solidago canadensis var. bartramiana (Fernald) Beaudry, Doria canadensis (L.) Lunell, Aster canadensis (L.) Kuntze, Solidago glabra subsp. canadensis (L.) Bonnier)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 152418 records from 828 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000104-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rqmf9j
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Metarhizium robertsii J.F.Bisch., S.A.Rehner & Humber"
 ]
}

 The dataset includes 174 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000116-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.khacaj
title: Occurrence Download

description: A dataset containing 18760 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Continent is Europe",
 "Country is Norway",
 "TaxonKey is Gulo gulo (Linnaeus, 1758)",
 "Year 2005-2025"
 ]
}

 The dataset includes 18760 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000117-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14228370
title: Data for the paper « An all-Africa dataset of energy model "supply regions" for solar PV and wind power »

description: This dataset contains data provided alongside the paper "An all-Africa dataset of energy model “supply regions” for solar PV and wind power". 

It concerns a novel representative subset of attractive sites for solar PV and onshore wind power for the entire African continent. We refer to these sites as “Model Supply Regions” (MSRs). This MSR dataset was created from an in-depth analysis of various existing datasets on resource potential, grid infrastructure, land use, topography and others (see Methods), and achieves hourly temporal resolution and kilometre-scale spatial resolution. This dataset fills an important research need by closing the gap between comprehensive datasets on African VRE potential (such as the Global Solar Atlas and Global Wind Atlas) on the one hand, and the input needed to run cost-optimisation models on the other. It also allows a detailed analysis of the trade-offs involved in exploiting excellent, but far-from-grid resources as compared to mediocre but more accessible resources, which is a crucial component of power systems planning to be elaborated for many African countries.

Five separate datasets are included:

(1) 20220412_country_maps.rar: Country-level visualisations (in the form of maps) of the screened MSRs. We screened the dataset according to the criterion that the total area of screened MSRs should not exceed 5% of an individual country’s surface area. See also (3).

(2) 20220412_excel_files.rar: Excel files containing the screened MSRs suggested for model inclusion alongside various metadata. See also (4).

(3) 20220705_clusters_maps.zip: Same as (1), but showing the clusters (formed from individual MSRs) described in the publication. We use an example of clustering down to 10, 5 or 2 clusters per country, depending on country size. The archive also contains Excel files summarising the clusters, including model-ready hourly profiles.

(4) 20220822_excel_files_prescreen.rar: Same as (2), but containing all identified MSRs prior to screening.

(5) 20241127_shapefiles.zip: Shapefiles containing the screened MSRs in GIS format, including the cluster IDs described under (3).
DOI: 10.5281/zenodo.6452117
title: Data for the paper « An all-Africa dataset of energy model "supply regions" for solar PV and wind power »

description: This dataset contains data provided alongside the paper "An all-Africa dataset of energy model “supply regions” for solar PV and wind power". It concerns a novel representative subset of attractive sites for solar PV and onshore wind power for the entire African continent. We refer to these sites as “Model Supply Regions” (MSRs). This MSR dataset was created from an in-depth analysis of various existing datasets on resource potential, grid infrastructure, land use, topography and others (see Methods), and achieves hourly temporal resolution and kilometre-scale spatial resolution. This dataset fills an important research need by closing the gap between comprehensive datasets on African VRE potential (such as the Global Solar Atlas and Global Wind Atlas) on the one hand, and the input needed to run cost-optimisation models on the other. It also allows a detailed analysis of the trade-offs involved in exploiting excellent, but far-from-grid resources as compared to mediocre but more accessible resources, which is a crucial component of power systems planning to be elaborated for many African countries. Three separate datasets are included (as sub-folders of a single .rar file, which can be downloaded below): (1) Country-level visualisations (in the form of maps) of the screened MSRs. We screened the dataset according to the criterion that the total area of screened MSRs should not exceed 5% of an individual country’s surface area. (2) Excel files containing the screened MSRs suggested for model inclusion alongside various metadata. (3) Shapefiles containing the screened MSRs in GIS format.
DOI: 10.5281/zenodo.7014609
title: Data for the paper « An all-Africa dataset of energy model "supply regions" for solar PV and wind power »

description: This dataset contains data provided alongside the paper "An all-Africa dataset of energy model “supply regions” for solar PV and wind power". It concerns a novel representative subset of attractive sites for solar PV and onshore wind power for the entire African continent. We refer to these sites as “Model Supply Regions” (MSRs). This MSR dataset was created from an in-depth analysis of various existing datasets on resource potential, grid infrastructure, land use, topography and others (see Methods), and achieves hourly temporal resolution and kilometre-scale spatial resolution. This dataset fills an important research need by closing the gap between comprehensive datasets on African VRE potential (such as the Global Solar Atlas and Global Wind Atlas) on the one hand, and the input needed to run cost-optimisation models on the other. It also allows a detailed analysis of the trade-offs involved in exploiting excellent, but far-from-grid resources as compared to mediocre but more accessible resources, which is a crucial component of power systems planning to be elaborated for many African countries. Three separate datasets are included (as sub-folders of a single .rar file, which can be downloaded below): (1) Country-level visualisations (in the form of maps) of the screened MSRs. We screened the dataset according to the criterion that the total area of screened MSRs should not exceed 5% of an individual country’s surface area. (2) Excel files containing the screened and pre-screened MSRs suggested for model inclusion alongside various metadata. (3) Shapefiles containing the screened MSRs in GIS format.
DOI: 10.5281/zenodo.7014915
title: Data for the paper « An all-Africa dataset of energy model "supply regions" for solar PV and wind power »

description: This dataset contains data provided alongside the paper "An all-Africa dataset of energy model “supply regions” for solar PV and wind power". 

It concerns a novel representative subset of attractive sites for solar PV and onshore wind power for the entire African continent. We refer to these sites as “Model Supply Regions” (MSRs). This MSR dataset was created from an in-depth analysis of various existing datasets on resource potential, grid infrastructure, land use, topography and others (see Methods), and achieves hourly temporal resolution and kilometre-scale spatial resolution. This dataset fills an important research need by closing the gap between comprehensive datasets on African VRE potential (such as the Global Solar Atlas and Global Wind Atlas) on the one hand, and the input needed to run cost-optimisation models on the other. It also allows a detailed analysis of the trade-offs involved in exploiting excellent, but far-from-grid resources as compared to mediocre but more accessible resources, which is a crucial component of power systems planning to be elaborated for many African countries.

Five separate datasets are included:

(1) 20220412_country_maps.rar: Country-level visualisations (in the form of maps) of the screened MSRs. We screened the dataset according to the criterion that the total area of screened MSRs should not exceed 5% of an individual country’s surface area. See also (4).

(2) 20220412_excel_files.rar: Excel files containing the screened MSRs suggested for model inclusion alongside various metadata. See also (5).

(3) 20220412_shapefiles.rar: Shapefiles containing the screened MSRs in GIS format.

(4) 20220705_clusters_maps.zip: Same as (1), but showing the clusters (formed from individual MSRs) described in the publication. We use an example of clustering down to 10, 5 or 2 clusters per country, depending on country size. The archive also contains Excel files summarising the clusters, including model-ready hourly profiles.

(5) 20220822_excel_files_prescreen.rar: Same as (2), but containing all identified MSRs prior to screening.
DOI: 10.15468/dl.srqjc5
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Aplosporella prunicola Damm & Crous"
 ]
}

 The dataset includes 25 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000120-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.te4zdu
title: Occurrence Download

description: A dataset containing 2705 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "OccurrenceStatus is Present",
 "TaxonKey is Asio flammeus (Pontoppidan, 1763)",
 "Year 2024-2025"
 ]
}

 The dataset includes 2705 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000123-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10650821
title: Solar PV and wind power Model Supply Region (MSR) dataset as energy model input for countries in Central and South America

description: This dataset provides model-ready data to include geospatial differentiation in solar and wind power investment options in energy models (primarily capacity expansion models and dispatch models) at the level of every Central and South American country. 

The methodology used to create the dataset takes into account resource quality, land use restrictions, distance from infrastructure, and other factors. It was previously applied to create an all-Africa dataset explained in Sterl et al. (2022) and published by Sterl, Hussain & Elabbas (2023). 

Folder (1) provides shapefiles of each country's overall feasible area for developing solar and wind power projects, under the restrictions/criteria mentioned above and described in Sterl et al. (2022).

Folder (2) provides the best 5% ("best" measured by expected LCOE, from lowest to highest, including grid and road extension costs; 5% measured in terms of coverage of a country's area) of each country's solar and wind development potential, including hourly time series for model input.

Folder (3) provides the corresponding shapefiles.

Folder (4) provides simplified/aggregated results in terms of MSR clusters (see Sterl et al. 2022 for details), alongside hourly time series based on the meteorological year 2018. The amount of clusters was chosen to be 3, 5 or 10 depending on country size.

Folder (5) provides PDF-file maps at the country level, showing resource strength and clustering outcomes by MSR (post-screening).

Explanations of the headers in any spreadsheet files are provided in the Supplementary Information of Sterl et al. (2022).

Countries/territories included in the dataset: 

ArgentinaBelizeBoliviaBrazilChileColombiaCosta RicaCubaDominican RepublicEcuadorEl SalvadorFrench GuianaGuatemalaGuyanaHaitiHondurasJamaicaNicaraguaPanamaParaguayPeruSurinameUruguayVenezuela

 

References

Sterl, S., Hussain, B., Miketa, A. et al. An all-Africa dataset of energy model “supply regions” for solar photovoltaic and wind power. Sci Data 9, 664 (2022). https://doi.org/10.1038/s41597-022-01786-5

Sterl, S., Hussain, B., & Elabbas, M. (2023). Data for the paper « An all-Africa dataset of energy model "supply regions" for solar PV and wind power » (1.2.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14870967
DOI: 10.5281/zenodo.10650822
title: Solar PV and wind power Model Supply Region (MSR) dataset as energy model input for countries in Central and South America

description: This dataset provides model-ready data to include geospatial differentiation in solar and wind power investment options in energy models (primarily capacity expansion models and dispatch models) at the level of every Central and South American country. 

The methodology used to create the dataset takes into account resource quality, land use restrictions, distance from infrastructure, and other factors. It was previously applied to create an all-Africa dataset explained in Sterl et al. (2022) and published by Sterl, Hussain & Elabbas (2023). 

Folder (1) provides shapefiles of each country's overall feasible area for developing solar and wind power projects, under the restrictions/criteria mentioned above and described in Sterl et al. (2022).

Folder (2) provides the best 5% ("best" measured by expected LCOE, from lowest to highest, including grid and road extension costs; 5% measured in terms of coverage of a country's area) of each country's solar and wind development potential, including hourly time series for model input.

Folder (3) provides the corresponding shapefiles.

Folder (4) provides simplified/aggregated results in terms of MSR clusters (see Sterl et al. 2022 for details), alongside hourly time series based on the meteorological year 2018. The amount of clusters was chosen to be 3, 5 or 10 depending on country size.

Folder (5) provides PDF-file maps at the country level, showing resource strength and clustering outcomes by MSR (post-screening).

Explanations of the headers in any spreadsheet files are provided in the Supplementary Information of Sterl et al. (2022).

Countries/territories included in the dataset: 

ArgentinaBelizeBoliviaBrazilChileColombiaCosta RicaCubaDominican RepublicEcuadorEl SalvadorFrench GuianaGuatemalaGuyanaHaitiHondurasJamaicaNicaraguaPanamaParaguayPeruSurinameUruguayVenezuela

 

References

Sterl, S., Hussain, B., Miketa, A. et al. An all-Africa dataset of energy model “supply regions” for solar photovoltaic and wind power. Sci Data 9, 664 (2022). https://doi.org/10.1038/s41597-022-01786-5

Sterl, S., Hussain, B., & Elabbas, M. (2023). Data for the paper « An all-Africa dataset of energy model "supply regions" for solar PV and wind power » (1.2.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14870967
DOI: 10.15468/dl.wfpkrn
title: Occurrence Download

description: A dataset containing 53089 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tulipa sylvestris L."
 ]
}

 The dataset includes 53089 records from 612 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000121-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.34829.26084
title: Ways of covid 19 transfer Professor Tareq alasadi
DOI: 10.13140/rg.2.2.12389.73445
title: Doc. Dr. Erdogan KOYCU CV 17.03.2021
DOI: 10.15468/dl.cy8dvc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Arachnida)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-30 -82.5,-22.5 -82.5,-22.5 -75,-30 -75,-30 -82.5))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042873-251009101135966/datasets/export for details.
DOI: 10.13140/rg.2.2.10397.44008
title: Zinc and covid 19 PROFESSOR TAREQ ALASADI
DOI: 10.13140/rg.2.2.17357.36329
title: 附录7 乘客需求（PDs）满意度评价值的Score函数值
DOI: 10.13140/rg.2.2.23229.38881
title: 3D modeling of the influence of an axial magnetic field (AMF) on Vacuum Arc Remelting (VAR) process
DOI: 10.18150/odqycb
title: Moai kavakava z Wyspy Wielkanocnej w nowozelandzkich muzeach

description: Wygenerowane dzięki modelom 3D odwzorowania płaskorzeźb z głów moai kavakava z Wyspy Wielkanocnej w nowozelandzkich muzeach.Metodyka tworzenia tego rodzaju odwzorowań została opisana w publikacji:Wieczorek, R., & Horley, P. (2024). New visualization method for cranial carvings of Rapanui wooden figurines. Archaeometry, 66(2), 425-444.
DOI: 10.13140/rg.2.2.36074.44486
title: internet speed random number generator
DOI: 10.15468/dl.3svvg5
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Viscum austriacum)",
 "Country is Ukraine"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042872-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.16754.43204
title: Apresentação das Séries Temporais com R
DOI: 10.13140/rg.2.2.29258.70085
title: China North Industries Corporation
DOI: 10.1285/i30350190n5p315
title: Capitolo VI. I metalli ad alta temperatura
DOI: 10.15468/dl.dnzm56
title: Occurrence Download

description: A dataset containing 5187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Asparagopsis taxiformis (Delile) Trevis.",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 5187 records from 156 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016830-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tsfvyv
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((11.38192 33.30033,13.22308 32.87893,12.52224 33.85856,11.38192 33.30033))",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Mustelus mustelus (Linnaeus, 1758), Mustelus punctulatus Risso, 1827, Mustelus asterias Cloquet, 1819, Mustelus asterias Clocquet, 1821)"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016831-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dyu8pa
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lonicera korolkowii Stapf",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Living Specimen"
 ]
 }
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003123-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-26330
title: Interviews - Melvin, Cameron, 1991-05-24

description: Belynda Bridgeland (Latham & Watkins), 633 West 5th Street, Los Angeles, California, USA, memorandum, 1991 May 24, to John Sherrell and Ernie Getto, re Interview with Cameron Melvin. PART OF A SERIES: Latham & Watkins researched a total of 83 civil litigation cases brought against the LAPD pertaining to excessive force and/or improper tactics to ascertain whether the Rodney King incident was in fact the aberration that Chief Daryl Gates described. Included in the series are several materials related to the firm’s investigation and final work product. Specifically, the series contains source materials related to the 83 cases that were studied. These materials include the firm’s own memoranda and notes, statistics on misconduct and police brutality, summaries of the selected cases, recommendations for settlement drafted by the Office of the City Attorney, docket cards, copies of settlement agreements, a master roster of officers named in the civil suits, and excerpts from officers’ personnel files. Also included are summaries of interviews held with police personnel and aggrieved citizens about their perception of problems within the LAPD.
DOI: 10.15468/dl.wbm8qm
title: Occurrence Download

description: A dataset containing 144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Agave atrovirens Karw. ex Salm-Dyck"
 ]
}

 The dataset includes 144 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000476-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.toftgh
title: Occurrence Download

description: A dataset containing 253344 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Passerina caerulea (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 253344 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003123-170826194755519/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.