cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.a53msw
title: Occurrence Download

description: A dataset containing 665 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Koelreuteria paniculata Laxm."
 ]
}

 The dataset includes 665 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020697-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6141/tw-srda-c00034-1
title: 大台北地區民眾放生行為研究
DOI: 10.5281/zenodo.14032632
title: Dataset for receiver function imaging of an east-west trending GDS30 array in southern Tibet

description: This dataset contains the receive function traces and associated teleseimic waveforms used in a submitted manuscript for peer review. Details can be found in the readme.txt file.
DOI: 10.5281/zenodo.8329321
title: Dataset for receiver function imaging of an east-west trending GDS30 array in southern Tibet

description: This dataset contains the receive function traces and associated teleseimic waveforms used in a submitted manuscript for peer review. Details can be found in the readme.txt file.
DOI: 10.5281/zenodo.8329322
title: Receiver functions of an east-west trending GDS30 array in southern Tibet

description: The zip file contains the  P and S receiver functions  of a temporary GDS30 array deployed in the south-central Lhasa terrane.  Details can be found in the readme.txt file.
DOI: 10.5281/zenodo.13959540
title: Supplementary, raw data, and model for manuscript titled Coupling the TKE-ACM2 Planetary Boundary Layer Scheme with the Building Effect Parameterization Model

description: This file contains 1. raw data simulated by WRF and PALM, and LiDAR and surface station measurements (Raw data PALM_WRF_Obs.zip); 2. supplementary drawing modeled and simulated U10, T2, and RH2 time series at surface stations (Supplementary.docx); 3. WRF version containing the TKE-ACM2+BEP (WRF433_TKE-ACM2+BEP.tar.gz).
DOI: 10.5281/zenodo.13959541
title: Supplementary, raw data, and model for manuscript titled Coupling the TKE-ACM2 Planetary Boundary Layer Scheme with the Building Effect Parameterization Model

description: This file contains 1. raw data simulated by WRF and PALM, and LiDAR and surface station measurements (Raw data PALM_WRF_Obs.zip); 2. supplementary drawing modeled and simulated U10, T2, and RH2 time series at surface stations (Supplementary.docx); 3. WRF version containing the TKE-ACM2+BEP (WRF433_TKE-ACM2+BEP.tar.gz).
DOI: 10.5281/zenodo.14033425
title: Graz Performance data
DOI: 10.5281/zenodo.14033426
title: Graz Performance data
DOI: 10.15468/dl.khvm53
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Côte d’Ivoire",
 "TaxonKey is Borassus aethiopum Mart."
 ]
}

 The dataset includes 79 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020699-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1124274
title: Images from an Archaeological Monitoring at St Owen's Church, Bromham, Bedfordshire, 2016-2020

description: This collection comprises site photographs from a programme of archaeological monitoring of development groundworks carried out by the Heritage Network at St Owen's Church, Blomham, Bedfordshire between November 2016 and October 2020.
DOI: 10.5281/zenodo.11476835
title: North Atlantic EXtratropical CYCLONE TRAcks and Lagrangian-Derived MOisture Uptake Dataset: ExCyclone-TRAMO (Part II) ⚠️ Warning: Outdated Dataset Version

description: Abstract:

This dataset focuses on extratropical cyclones (ETCs) over the North Atlantic Ocean (NATL) during the extended winter seasons, spanning from October to April, between 1985 and 2022. The relationship between moisture uptake and precipitation in various mesoscale ETC structures remains an active research area. The provision of moisture parameters through tracer dispersion models enhances our understanding of moisture dynamics, the behaviour of ETCs, and the associated meteorological fields.

Description:

The dataset was constructed through dynamic downscaling of ERA5 reanalysis data using the Weather Research and Forecasting (WRF) model, in conjunction with the Lagrangian dispersion model FELXPART-WRF. It consists of 6-hourly time intervals with a horizontal resolution of 0.18°. This database is completely described in Coll-Hidalgo, et al. (2024). North Atlantic Extratropical Cyclone Tracks and Lagrangian-Derived Moisture Uptake Dataset. Scientific Data. [Preprint].

The dataset includes:



Detailed tracking of ETCs across the North Atlantic:



Date in year-month-day format

hh (in UTC): Hour in Coordinated Universal Time

latitude (degrees north): Latitude in degrees north

longitude (degrees west): Longitude in degrees west

MSLP (hPa): Mean sea level pressure in hectopascals (hPa)

Radius (km): Cyclone radius in kilometres (km)

Last closed isobar (hPa): Pressure at the last closed isobar in hectopascals (hPa)

Additional parameters included in version 2 of this dataset:



Low-level thermal wind parameter (VTL)

High-level thermal wind parameter (VTU)

The thermal asymmetry parameter (B)








Two-Dimensional Masks Shaping ETCs:



Radius

Warm Conveyor Belt (WCB) footprint Related Areas

A theoretical boundary encompassing a broader extent of the ETC circulation within a spiral shape 






Cyclone Moisture Uptake-Related Variables by ETCs life timesteps: 



Total moisture uptake

Discrete Moisture Uptake (10-Day Backward)

Moisture uptake by layers from the surface to 100 hPa.




Dataset Repository Information

This repository contains the dataset for the years 2000-2016. For users interested in datasets from subsequent periods, please refer to the following links:

Years 1985-1999: Access the dataset hereYears 2017-2022: Access the dataset here

A GitHub repository is available, providing example code that demonstrates how to use and handle the dataset effectively.
DOI: 10.15468/dl.vmrnvg
title: Occurrence Download

description: A dataset containing 5929 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aegiceras Gaertn."
 ]
}

 The dataset includes 5929 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020700-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d5j5dw
title: Occurrence Download

description: A dataset containing 399 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limnoperna fortunei (Dunker, 1857)"
 ]
}

 The dataset includes 399 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016077-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kol22k
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 {
 "or" : [
 "Country is India",
 "Country is Sri Lanka",
 "Country is Indonesia",
 "Country is Nepal",
 "Country is United States of America"
 ]
 },
 "TaxonKey is Sapindus emarginatus Vahl"
 ]
}

 The dataset includes 35 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012575-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dfxct9
title: Occurrence Download

description: A dataset containing 2733 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 {
 "or" : [
 "Continent is North America",
 "Continent is South America"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Oncidium Sw."
 ]
}

 The dataset includes 2733 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0263160-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wfcdkc
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Norway",
 "Month is December",
 "TaxonKey is Fulmarus glacialis (Linnaeus, 1761)",
 "Year is 2023"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077113-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rplntm
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plerandra emiliana (Baill.) Lowry, G.M.Plunkett & Frodin"
 ]
}

 The dataset includes 22 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006303-170826194755519/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4c9shx
title: Occurrence Download

description: A dataset containing 11663 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centaurea decipiens Thuill.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11663 records from 398 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077116-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fma5vr
title: Occurrence Download

description: A dataset containing 992 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "TaxonKey is Symphyotrichum subulatum (Michx.) G.L.Nesom",
 "Year 1975-2021"
 ]
}

 The dataset includes 992 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0270135-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uof0fk
title: Occurrence Download

description: A dataset containing 24575 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tursiops truncatus (Montagu, 1821)"
 ]
}

 The dataset includes 24575 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006303-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ngrqvp
title: Occurrence Download

description: A dataset containing 397225 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argynnis paphia (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 397225 records from 1596 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077115-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.6493144
title: Lightning Assimilation in the Weather Research and Forecasting (WRF) Model: Technique Updates and Assessment of the Applications from Regional to Hemispheric Scales

description: Figure 1. The data is proprietary, but it can be purchased from Vaisala Inc. (https:// www.vaisala.com/en/products/systems/lightning-detection), and the WWLLN raw data are also available for purchase at http://wwlln.net. Figure 2. Maps, data is not applicable. Figure 3. Data file: NLDN_WWLLN_Prism_Rainfall_Analysis.xlsx Figure 4. Data file: NLDN_WWLLN_METVARS_T2_Jul_2016.xlsx Figure 5. Data file: CONUSall_METOBS_q_Jul_2016.xlsx Figure 6. Data file: CONUSall_METOBS_ws_Jul_2016.xlsx Figure 7. Created using the R script: Hemi_Rain_ModelOnlyWGPM.R based on the R object files: AnnualRainFall_CFC_WRF_Hemi_BASE_*.rds, AnnualRainFall_CFC_WRF_Hemi_LTA_*.rds, and GPM_WRF_Paired_rain2Hemispheric_July2016.rds. Figure 8. Created using the R script: Hemi_Rain_Aanlysis.R based on the R object files: AnnualRainFall_CFC_WRF_Hemi_BASE_*.rds and AnnualRainFall_CFC_WRF_Hemi_LTA_*.rds. Figure 9. Data file: CPC_Model_Monthly_Prep_Hemi_Stats.xlsx Figure 10. Data file: CPC_Model_Monthly_Prep_Hemi_Stats.xlsx Figure 11. Data file: CPC_Model_Monthly_Prep_Hemi_Stats.xlsx Figure 12. Created using the R script: CreateCPCdataforUSdomain_vs_Prism.R based on the R oject files: Prism_CFC_WRF*.rds Figure 13. Data file: Hemi_lta_METOBS_T2_Jul_2016.xlsx Figure 14. Data file: Hemi_lta_METOBS_q_Jul_2016.xlsx
DOI: 10.5281/zenodo.6782048
title: WWLLN Datasets for "A Terrestrial Gamma-ray Flash from the 2022 Hunga Tonga–Hunga Ha'apai Volcanic Eruption"

description: These data files contain data used in the paper "A Terrestrial Gamma-ray Flash from the 2022 Hunga Tonga–Hunga Ha’apai Volcanic Eruption", M. S. Briggs, S. Lesage, C. Schultz, B. Mailyan, R. H. Holzworth, Geophysical Research Letters, 2022. The authors wish to thank the World Wide Lightning Location Network (WWLLN), a collaboration among over 50 universities and institutions, for providing the lightning location data used in these datasets and in the paper. Additional WWLLN data are available at nominal cost from http://wwlln.net. The file named Fig_1.txt contains the data used to generate Figure 1 in the paper. The first two columns list the time ranges for each histogram bin, in UTC on 2022 January 15, while the final column lists the lightning detection rate, in counts per minute, for all WWLLN sferics located within a 400 km radius of the Hunga Tonga–Hunga Ha’apai volcano. The times when Fermi passed within 1000 km of the volcano, shown as grey bars in Figure 1, are:<br> 03:47:58.5 to 03:52:56.2 UTC<br> 05:29:25.1 to 05:33:59.7 UTC<br> 07:11:04.0 to 07:15:18.3 UTC<br> 08:52:04.8 to 08:57:05.1 UTC<br> 10:33:48.1 to 10:37:32.7 UTC The time of the Fermi TGF detection, shown as a red line in Figure 1, is:<br> 08:52:40.011500 UTC <br> The file named Fig_2.txt contains the WWLLN sferic data used to generate Figure 2 in the aforementioned paper. This file has the same format as the text files for the WWLLN maps provided in the Fermi GBM TGF catalog, https://fermi.gsfc.nasa.gov/ssc/data/access/gbm/tgf/. Line 1 is the network_name<br> Line 2 is TGF_name<br> Line 3 is the coordinates of Fermi at the time of the TGF (2022-01-15 08:52:40.011500 UTC).<br> Line 4 is the coordinates of the center of the map<br> The second number on line 5 is the number of sferics in a +/- 1 minute interval about the TGF.<br> The remaining 104 lines list the properties of each sferic in columns containing the following information:<br> sequence_number, longitude, latitude, time_separation_between_sferic_and_TGF_corrected_for_light-travel-time The two GLM lightning flashes, shown as magenta dots in Figure 2, have longitude and latitude values:<br> -175.27394, -20.9348<br> -175.29301, -20.8466 All of the aforementioned longitudes are East longitudes.<br>
DOI: 10.5284/1122124
title: Data from a Trial Trench Evaluation at M6 Junction 4, Coleshill, North Warwickshire, 2017-2023 (HS2 Phase One)

description: This collection comprises reports, images, spreadsheets, and GIS files from a trial trench evaluation carried out by Connect Archaeology at farmland off Coleshill Heath Lane, Coleshill, Warwickshire. A total of twenty-one trenches were excavated in September 2017.
DOI: 10.15468/dl.9tq38g
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.19371 -35.953528, 149.19371 -35.955774, 149.195956 -35.955774, 149.195956 -35.95802, 149.202693 -35.95802, 149.202693 -35.953528, 149.19371 -35.953528))"
 ]
}

 The dataset includes 41 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048167-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13148463
title: The first geospatial dataset of irrigated fields (2020-2024) in Vojvodina (Serbia)

description: Irrigation is a cornerstone of global food security, enabling sustainable agricultural production and helping to ensure that food is available for people around the world, now and in the future. Mapping irrigated fields provides valuable information for sustainable water management, agricultural development, and environmental conservation efforts. However, the collection of high-quality training data, which is necessary for accurate irrigation mapping remains costly and labour-intensive. To address this, we created a georeferenced regional dataset consisting of location, crop type, and occurrence of the irrigation equipment which are essential information for mapping irrigated fields. Four main irrigated crops were considered: maize, soybean, sugar beet, and wheat. The dataset, consisting of a total of 1256 parcels, is created for Vojvodina, the main agricultural area in Serbia, spanning the period of five years (2020 - 2024). This study’s goal is to give accessibility to our dataset which further can be explored and used for building or fine-tuning machine learning and deep learning models for the automatic detection of irrigated fields using satellite imagery.
DOI: 10.5281/zenodo.13148464
title: The first geospatial dataset of irrigated fields (2020-2024) in Vojvodina (Serbia)

description: Irrigation is a cornerstone of global food security, enabling sustainable agricultural production and helping to ensure that food is available for people around the world, now and in the future. Mapping irrigated fields provides valuable information for sustainable water management, agricultural development, and environmental conservation efforts. However, the collection of high-quality training data, which is necessary for accurate irrigation mapping remains costly and labour-intensive. To address this, we created a georeferenced regional dataset consisting of location, crop type, and occurrence of the irrigation equipment which are essential information for mapping irrigated fields. Four main irrigated crops were considered: maize, soybean, sugar beet, and wheat. The dataset, consisting of a total of 1256 parcels, is created for Vojvodina, the main agricultural area in Serbia, spanning the period of five years (2020 - 2024). This study’s goal is to give accessibility to our dataset which further can be explored and used for building or fine-tuning machine learning and deep learning models for the automatic detection of irrigated fields using satellite imagery.
DOI: 10.15468/dl.87df22
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Andorra, Albania, Armenia, Austria, Azerbaijan, Bosnia and Herzegovina, Belgium, Bulgaria, Belarus, Switzerland, Cyprus, Czechia, Germany, Denmark, Algeria, Estonia, Egypt, Greece, Spain, Finland, Faroe Islands, France, Georgia, Guernsey, Gibraltar, Croatia, Hungary, Ireland, Israel, Isle of Man, Iceland, Italy, Jersey, Lebanon, Liechtenstein, Lithuania, Luxembourg, Latvia, Libya, Morocco, Monaco, Moldova, Republic of, Montenegro, North Macedonia, Malta, Netherlands, Norway, Poland, Palestine, State of, Portugal, Romania, Serbia, Russian Federation, Sweden, Slovenia, Svalbard and Jan Mayen, Slovakia, San Marino, Syrian Arab Republic, Tunisia, Türkiye, Ukraine, United Kingdom of Great Britain and Northern Ireland, French Guiana, Guadeloupe, Martinique, Mayotte, Réunion, Saint Martin (French part), Holy See)",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Machine Observation, Occurrence evidence, Observation)",
 "HasGeospatialIssue is false",
 "ScientificName is one of (Abies fraseri)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048168-240626123714530/datasets/export for details.
DOI: 10.17632/rcxddvxv3c.1
title: Impact of vaccination on intra-host genetic diversity of patients infected with SARS-CoV-2 Gamma lineage

description: The high transmissibility, rapid evolution, and immune escape of SARS-CoV-2 variants can in-fluence the course of infection and, in turn, morbidity and mortality in COVID-19, posing a chal-lenge in controlling transmission rates and contributing to the emergence and spread of new variants. The factors that shape viral genetic variation are consequently essential for understanding the evolution and transmission of SARS-CoV-2, especially in vaccinated individuals where immune response plays a role in the progression and spread of this disease. This study assessed. In this context, we evaluated the impact of immunity induced by the CoronaVac vaccine (Butantan/Sinovac) on intra-host genetic diversity, analyzing 118 whole-genome sequences of SARS-CoV-2 from unvaccinated and vaccinated patients infected with the Gamma variant. Vaccination with CoronaVac favors negative selection at the intra-host level in different genomic regions and prevent greater genetic diversity of SARS-CoV-2, which may help reduce the emergence of new mutations, reinforcing the importance of vaccination in reducing virus transmission.
DOI: 10.17632/rcxddvxv3c.2
title: Impact of vaccination on intra-host genetic diversity of patients infected with SARS-CoV-2 Gamma lineage

description: The high transmissibility, rapid evolution, and immune escape of SARS-CoV-2 variants can influence the course of infection and, in turn, morbidity and mortality in COVID-19, posing a challenge in controlling transmission rates and contributing to the emergence and spread of new variants. The factors that shape viral genetic variation are consequently essential for understanding the evolution and transmission of SARS-CoV-2, especially in vaccinated individuals where immune response plays a role in the progression and spread of this disease. This study assessed. In this context, we evaluated the impact of immunity induced by the CoronaVac vaccine (Butantan/Sinovac) on intra-host genetic diversity, analyzing 118 whole-genome sequences of SARS-CoV-2 from unvaccinated and vaccinated patients infected with the Gamma variant. Vaccination with CoronaVac favors negative selection at the intra-host level in different genomic regions and prevent greater genetic diversity of SARS-CoV-2, which may help reduce the emergence of new mutations, reinforcing the importance of vaccination in reducing virus transmission.
DOI: 10.17632/9yc97z4tyv.1
title: INVESTIGATING EVERYDAY SADISTIC CONSUMPTION WITHIN DARK TETRAD

description: This study focuses on the impact of sadism on everyday consumption preferences, i.e., everyday sadistic consumption. An experimental study on a non-WEIRD sample (N=337; Turkish consumers) was conducted on how the traces of sadism can be empirically found in daily consumption behaviors. Intention to visit a touristic destination in which a cruel story presented for the experimental group (vs. control group) analyzed. It is found that sadism initially negatively predicts the intention to visit when controlling for other members of the dark tetrad; however, when a cruel story related to the destination is presented, this negative effect disappears. Further, participants were asked to create a memoir related to the destination as if they visited it. When participants were free to add the cruel story about the destination into the memoir, sadism predicted the intention to add and share the memoir with others when controlling other members of the dark tetrad.