cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25810/t80a-qt84
title: FIRED Sweden Nov 2000 - July 2024

description: This is event-level polygons for the fire event delineation (FIRED) product for SWEDEN from November 2000 to July 2024. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v061/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (https://github.com/earthlab/firedpy) is an algorithm that converts these rasters into events by stacking the entire time series into a spatial-temporal data cube, then uses an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. This particular dataset was created using a spatial parameter of 1 pixels and 5 days. Daily polygons are included and the event identification numbers are the same for both files, but the event-level product has only single polygons for each entire event, while the daily product has separate polygons for each date per event. See the associated paper for more details on the methods and more:

Balch, J.K.; St. Denis, L.A.; Mahood, A.L.; Mietkiewicz, N.P.; Williams, T.M.; McGlinchy, J.; Cook, M.C. FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001–2019). Remote Sens. 2020, 12, 3498. https://doi.org/10.3390/rs12213498
DOI: 10.17632/skf6w2s2h2.2
title: Local Spinach Leaf Dataset

description: 1. The Significance of Local Spinach in Horticulture and Disease Challenges.
In the horticulture industry, local Spinach leaves are highly valued for both their aesthetic value and economic significance. However, several that might harm these plants' well-being and productivity sometimes act as a barrier to their cultivation. Accurate and timely leaf Fresh and Non Fresh detection is necessary to lower these risks. The Local Spinach Leaf Dataset was developed in answer to this need, assisting scientists, horticulturists, and machine learning experts in identifying and classifying that affect local Spinach leaves. This collection includes high-resolution images of local Spinach leaves that display both healthy and diseased specimens. Notable ailments found in the dataset include Malabar spinach, water spinach, and red spinach that is not fresh. The dataset is further enhanced by the addition of metadata that provides vital contextual information about the locations and weather at the time of image capture. This contextual data enhances prediction model accuracy and is critical to understanding the mechanisms behind the onset of leaf Fresh and Non Fresh.
2. The Role of Deep Learning and Computer Vision.
There are several chances for classification and detection tasks in the local Spanish leaf disease dataset that can be handled by contemporary deep learning and computer vision techniques. 
3. A Comprehensive Dataset for Deep Learning in local Spinach leaf Disease Classification.
This dataset was produced specifically to support the development of advanced deep learning models. The dataset's classifications were created in collaboration with subject matter experts from a prestigious agricultural university to guarantee accuracy and relevance. 
4. Data Collection and Augmentation.
 3999 Pictures were taken at the Kaliakoir bazar, kaliakoir location in Gazipur, Dhaka, Bangladesh. Examples of red Spinach fresh and non-fresh, Water Spinach fresh and non-fresh, and Malabar Spinach fresh and non-fresh were displayed in these pictures. To improve the dataset and expand the number of available data points, 2495 augmented images were created from the original photo collection. These improved samples were produced using a number of techniques, including flipping, rotating, shearing, brightness modification, and magnification.
DOI: 10.17632/skf6w2s2h2.3
title: Local Spinach Leaf Dataset

description: 1. The Significance of Local Spinach in Horticulture and Fresh and Non Fresh Challenges.
In the horticulture industry, local Spinach leaves are highly valued for both their aesthetic value and economic significance. However, several that might harm these plants' well-being and productivity sometimes act as a barrier to their cultivation. Accurate and timely leaf Fresh and Non Fresh detection is necessary to lower these risks. The Local Spinach Leaf Dataset was developed in answer to this need, assisting scientists, horticulturists, and machine learning experts in identifying and classifying that affect local Spinach leaves. This collection includes high-resolution images of local Spinach leaves that display both healthy and diseased specimens. Notable ailments found in the dataset include Malabar spinach, water spinach, and red spinach that is not fresh. The dataset is further enhanced by the addition of metadata that provides vital contextual information about the locations and weather at the time of image capture. This contextual data enhances prediction model accuracy and is critical to understanding the mechanisms behind the onset of leaf Fresh and Non Fresh.
2. The Role of Deep Learning and Computer Vision.
There are several chances for classification and detection tasks in the local spinach leaf disease dataset that can be handled by contemporary deep learning and computer vision techniques. 
3. A Comprehensive Dataset for Deep Learning in local Spinach Fresh and Non Fresh Classification.
This dataset was produced specifically to support the development of advanced deep learning models. The dataset's classifications were created in collaboration with subject matter experts from a prestigious agricultural university to guarantee accuracy and relevance. 
4. Data Collection and Augmentation.
 3999 Pictures were taken at the Maharabaha, kaliakoir location in Gazipur, Dhaka, Bangladesh. Examples of red Spinach fresh and non-fresh, Water Spinach fresh and non-fresh, and Malabar Spinach fresh and non-fresh were displayed in these pictures. To improve the dataset and expand the number of available data points, 2495 augmented images were created from the original photo collection. These improved samples were produced using a number of techniques, including flipping, rotating, shearing, brightness modification, and magnification.
DOI: 10.17632/h88yd464w3.1
title: FACTORS AFFECTING ON CONSUMER'S PERCEPTION TOWARDS DIGITAL PAYMENT IN NEPAL

description: This primary data has collected through survey in Nepal. This data measures impact of perceived usefulness, self-efficacy, perceived trust, perceived ease of use and privacy and security on customers' perception towards digital payment system in Nepal.
DOI: 10.15468/dl.k6q6sc
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Dominican Republic",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chromolaena odorata (L.) R.M.King & H.Rob.",
 "Year 2024-2024"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024085-241107131044228/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.27829143
title: Characterization of influenza H5Nx Candidate Vaccine Viruses formulations

description: We presented data on the production and characterization of three distinct monovalent antigens of H5Nx Candidate Vaccine Viruses (CVVs) from clades 2.3.2.1c (NIBRG-301), 2.3.4 (IBCDC-RG6), and 2.3.4.4b (IDCDC-RG71A). For simplicity, we referred to them as Duck/Vietnam, Anhui, and Astrakhan, respectively. Files containing raw data from the results of IgG antibodies, Hemagglutination Inhibition, Microneutralization titers, animal weight, and the statistical analysis were uploaded.We also showed data on the percentage of identity of H5 sequences –globular domain – among i) H5N1 isolates (birds and humans) and the antigenic prototypes of available H5N1, H5N6, and H5N8 CVVs with potency-testing reagents; and ii) the three CVVs produced and an human-licensed H5N1 vaccine (IDCDC-RG2).The results and conclusions from the analysis will be submitted for publication: “Production and immune response against pandemic influenza candidate vaccines as preparedness against the circulating H5N1 influenza viruses”. Raw data were generated using The Influenza Virus Resource at the NCBI, GISAID- EpiFlu, SnapGene, NCBI BLAST, Microsoft Excel, and GraphPad Prism Software, version 5.03 for Windows.
DOI: 10.15468/dl.am2cjg
title: Occurrence Download

description: A dataset containing 695 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pascopyrum smithii (Rydb.) Barkworth & D.R.Dewey",
 "Geometry POLYGON((-105 25, -95 25, -95 49, -105 49, -105 25))"
 ]
}

 The dataset includes 695 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024086-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r62kpu
title: Occurrence Download

description: A dataset containing 7894 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Specimen, Occurrence evidence)",
 "Continent is North America",
 "OccurrenceStatus is Present",
 "TaxonKey is Graptemys geographica (Lesueur, 1817)",
 "Year 2004-2024"
 ]
}

 The dataset includes 7894 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024087-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25810/9qk6-5h37
title: FIRED Switzerland Nov 2000 - July 2024

description: This is event-level polygons for the fire event delineation (FIRED) product for SWITZERLAND from November 2000  to July 2024. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v061/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (https://github.com/earthlab/firedpy) is an algorithm that converts these rasters into events by stacking the entire time series into a spatial-temporal data cube, then uses an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. This particular dataset was created using a spatial parameter of 1 pixels and 5 days. Daily polygons are included and the event identification numbers are the same for both files, but the event-level product has only single polygons for each entire event, while the daily product has separate polygons for each date per event. See the associated paper for more details on the methods and more:

Balch, J.K.; St. Denis, L.A.; Mahood, A.L.; Mietkiewicz, N.P.; Williams, T.M.; McGlinchy, J.; Cook, M.C. FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001–2019). Remote Sens. 2020, 12, 3498. https://doi.org/10.3390/rs12213498
DOI: 10.15468/dl.94xdkz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Aspidistra partita Y.H.Tan & H.B.Ding)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024090-241107131044228/datasets/export for details.
DOI: 10.15468/dl.kn5p4v
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Dendroctonus brevicomis LeConte, 1876"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024092-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qbpvzk
title: Occurrence Download

description: A dataset containing 1629 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.52212 5.06278,-75.50926 5.06278,-75.50926 5.07139,-75.52212 5.07139,-75.52212 5.06278))",
 "HasGeospatialIssue is false",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 1629 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024091-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nunjtz
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Dominican Republic",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Swietenia mahagoni (L.) Jacq.",
 "Year 2024-2024"
 ]
}

 The dataset includes 18 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024093-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p8vha8
title: Occurrence Download

description: A dataset containing 2841 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bouteloua gracilis (Kunth) Lag. ex Griffiths",
 "Geometry POLYGON((-105 25, -95 25, -95 49, -105 49, -105 25))"
 ]
}

 The dataset includes 2841 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024089-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/9964166
title: Electric Vehicle Population Data
DOI: 10.15468/dl.3zrmy4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Aspidistra patentiloba Y.Wan & X.H.Lu)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024095-241107131044228/datasets/export for details.
DOI: 10.15468/dl.3wwana
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Aspidistra paucitepala Vislobokov, Nuraliev & D.D.Sokoloff)"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024098-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hsv66r
title: Occurrence Download

description: A dataset containing 648 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hesperostipa comata (Trin. & Rupr.) Barkworth",
 "Geometry POLYGON((-105 25, -95 25, -95 49, -105 49, -105 25))"
 ]
}

 The dataset includes 648 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024097-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sr3nnd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Aspidistra peltata Aver., Vuong, T.N.Bon & V.S.Dang)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024099-241107131044228/datasets/export for details.
DOI: 10.26207/s8dt-f586
title: Key to World Tribes Cynipidae, 2024
DOI: 10.15468/dl.2f6js3
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Dominican Republic",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Clusia rosea Jacq.",
 "Year 2024-2024"
 ]
}

 The dataset includes 21 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024103-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jpx5jz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Aspidistra petiolata Tillich)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024102-241107131044228/datasets/export for details.
DOI: 10.15468/dl.pbjsya
title: Occurrence Download

description: A dataset containing 340 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carex duriuscula C.A.Mey.",
 "Geometry POLYGON((-105 25, -95 25, -95 49, -105 49, -105 25))"
 ]
}

 The dataset includes 340 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024101-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fc5rja
title: Occurrence Download

description: A dataset containing 7246 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-76.28205 10.23661,-75.40157 7.80517,-73.91779 8.32177,-74.8961 10.81372,-75.69506 10.63749,-76.28205 10.23661))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chlorophyta"
 ]
}

 The dataset includes 7246 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024100-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cs99wm
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Aspidistra phanluongii Vislobokov)"
 ]
}

 The dataset includes 19 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024105-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9336jv
title: Occurrence Download

description: A dataset containing 993 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Koeleria macrantha (Ledeb.) Schult.",
 "Geometry POLYGON((-105 25, -95 25, -95 49, -105 49, -105 25))"
 ]
}

 The dataset includes 993 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024106-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cauf3r
title: Occurrence Download

description: A dataset containing 40364 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Specimen, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "TaxonKey is Terrapene carolina carolina",
 "Year 2004-2024"
 ]
}

 The dataset includes 40364 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024104-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.769jfr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Aspidistra pileata D.Fang & L.Y.Yu)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024109-241107131044228/datasets/export for details.
DOI: 10.15468/dl.8bgaaz
title: Occurrence Download

description: A dataset containing 198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Poa secunda J.Presl",
 "Geometry POLYGON((-105 25, -95 25, -95 49, -105 49, -105 25))"
 ]
}

 The dataset includes 198 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024110-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wafddu
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Croatia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Carabus intricatus Linnaeus, 1760"
 ]
}

 The dataset includes 20 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024111-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1124334
title: Images from a Historic Building Recording Survey at Sessland Farm, South Tawton, Crediton, Devon, November 2017

description: This collection comprises images from a historic building recording survey at Sessland Farm, South Tawton, Crediton, Devon. This work was undertaken by Southwest Archaeology Ltd. in November 2017. The current farmhouse has a medieval core but it is not a longhouse - the shippon contains domestic elements - and there are significant 17th century, 18th century, and 19th century phases of alteration and expansion.
DOI: 10.15468/dl.ejxb9s
title: Occurrence Download

description: A dataset containing 12813 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (ARG, CHL, PRY, URY, FLK, BRA.21_1, BRA.16_1, BRA.24_1)",
 "TaxonKey is Anacardiaceae"
 ]
}

 The dataset includes 12813 records from 193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024115-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.577gqy
title: Occurrence Download

description: A dataset containing 627 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (ARG, CHL, PRY, URY, FLK, BRA.21_1, BRA.16_1, BRA.24_1)",
 "TaxonKey is Picramniaceae"
 ]
}

 The dataset includes 627 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024112-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.