cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bdcs3m
title: Occurrence Download

description: A dataset containing 274863 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Ictinia mississippiensis",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 274863 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073863-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.na4j9d
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-81.5812415000000044 41.4257471000000024, -81.5812415000000044 41.4264039099999977, -81.5812415000000044 41.4271482899999981, -81.5812415000000044 41.4279364599999980, -81.5812415000000044 41.4288122000000030, -81.5812415000000044 41.4293814299999994, -81.5812415000000044 41.4300820300000012, -81.5812415000000044 41.4310453399999972, -81.5812415000000044 41.4315707900000021, -81.5812415000000044 41.4324027500000014, -81.5812415000000044 41.4332784899999993, -81.5812415000000044 41.4341980199999966, -81.5812415000000044 41.4349423999999971, -81.5805417699999964 41.4349423999999971, -81.5791860500000041 41.4349423999999971, -81.5780489899999992 41.4349423999999971, -81.5768682000000069 41.4349423999999971, -81.5768682000000069 41.4342418100000032, -81.5768682000000069 41.4334536400000033, -81.5768682000000069 41.4324903199999994, -81.5768682000000069 41.4316583600000001, -81.5768682000000069 41.4304323200000013, -81.5768682000000069 41.4298630899999978, -81.5768682000000069 41.4288122000000030, -81.5768682000000069 41.4278488799999991, -81.5768682000000069 41.4271482899999981, -81.5768682000000069 41.4266228400000003, -81.5768682000000069 41.4257471000000024, -81.5776116600000023 41.4257471000000024, -81.5785737899999930 41.4257471000000024, -81.5791860500000041 41.4257471000000024, -81.5800607099999979 41.4257471000000024, -81.5812415000000044 41.4257471000000024))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101390-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rznjpo
title: Occurrence Download

description: A dataset containing 2261307 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-82.30367 34.28054,-79.32713 34.28054,-79.32713 36.10322,-82.30367 36.10322,-82.30367 34.28054))",
 "HasCoordinate is true",
 "TaxonKey is Aves",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2261307 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015996-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j273yh
title: Occurrence Download

description: A dataset containing 12797 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Iguana iguana (Linnaeus, 1758)"
 ]
}

 The dataset includes 12797 records from 213 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018391-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tyawpu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sophora jaubertii Spach",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0416463-210914110416597/datasets/export for details.
DOI: 10.15468/dl.koobc4
title: Occurrence Download

description: A dataset containing 262 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eugenia stipitata McVaugh"
 ]
}

 The dataset includes 262 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002043-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xftytb
title: Occurrence Download

description: A dataset containing 2282 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "Year 1960-2018",
 "HasCoordinate is true",
 "TaxonKey is Anthocharis cardamines (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2282 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002043-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9f4zkp
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ambystoma leorae (Taylor, 1943)"
 ]
}

 The dataset includes 69 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002043-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5bn6x5
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"5420892","matchCase":false},{"type":"equals","key":"MEDIA_TYPE","value":"StillImage","matchCase":false},{"type":"equals","key":"BASIS_OF_RECORD","value":"HUMANOBSERVATION","matchCase":false}]}

 The dataset includes 48 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009875-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.obf6rg
title: Occurrence Download

description: A dataset containing 1145582 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-125.44212 39.76869,-120.31681 39.61794,-118.20638 41.18569,-117.21147 45.82862,-116.33715 52.79302,-119.71383 56.80283,-125.05019 61.02368,-148.68694 72.8722,-171.89649 77.91152,-191.44336 79.95059,-202.41211 76.57559,-208.66992 61.17715,-211.55274 48.94277,-200.37305 41.70059,-187.64649 42.96621,-125.44212 39.76869))",
 "HasCoordinate is true",
 "TaxonKey is Tracheophyta",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1145582 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003282-200127171203522/datasets/export for details.
DOI: 10.15468/dl.wqfhll
title: Occurrence Download

description: A dataset containing 910616 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-82.45377 42.01172,-82.37411 42.09686,-82.03079 42.24243,-81.92368 42.20398,-81.81931 42.22321,-81.77811 42.37976,-82.27524 43.06091,-82.3851 43.05267,-82.69547 42.5116,-82.5087 42.4704,-82.44827 42.40448,-82.47299 42.34131,-82.45377 42.01172))"
 ]
}

 The dataset includes 910616 records from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046876-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sqpxmh
title: Occurrence Download

description: A dataset containing 1675 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pultenaea microphylla Sieber ex DC.",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1675 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046887-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6icyfc
title: Occurrence Download

description: A dataset containing 24810 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Helianthus annuus L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 24810 records from 358 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020952-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qtshug
title: Occurrence Download

description: A dataset containing 65551 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tamaricaceae",
 "DecimalLatitude is greater than or equal to -90",
 "DecimalLongitude is greater than or equal to -180"
 ]
}

 The dataset includes 65551 records from 374 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037449-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nl0nfl
title: Occurrence Download

description: A dataset containing 946 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Fraxinus nigra Marshall"
 ]
}

 The dataset includes 946 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037429-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gbc8ki
title: Occurrence Download

description: A dataset containing 23130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Styracaceae",
 "DecimalLatitude is greater than or equal to -90",
 "DecimalLongitude is greater than or equal to -180"
 ]
}

 The dataset includes 23130 records from 360 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037445-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wy36ld
title: Occurrence Download

description: A dataset containing 917 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "DatasetKey is TNHC Herpetology Collection"
 ]
}

 The dataset includes 917 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007714-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dnilwi
title: Occurrence Download

description: A dataset containing 999 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "DatasetKey is University of Michigan Museum of Zoology, Division of Birds"
 ]
}

 The dataset includes 999 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007710-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.feuik5
title: Occurrence Download

description: A dataset containing 953 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Licaria triandra (Sw.) Kosterm.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 953 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002463-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.td4ca3
title: Occurrence Download

description: A dataset containing 187017 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is UWFC Ichthyology Collection"
 ]
}

 The dataset includes 187017 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020125-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gyqyhz
title: Occurrence Download

description: A dataset containing 189719 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Intermountain Herbarium (Vasc. & Algae)"
 ]
}

 The dataset includes 189719 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020124-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.quybma
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is one of (South America, North America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tapirus bairdii (Gill, 1865)"
 ]
}

 The dataset's 1 records were derived from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020128-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ecysk
title: Occurrence Download

description: A dataset containing 306446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cryptophyta"
 ]
}

 The dataset includes 306446 records from 528 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001246-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2zvgyr
title: Occurrence Download

description: A dataset containing 1903 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abelmoschus moschatus (L.) Medik.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1903 records from 143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001253-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.72r23m
title: Occurrence Download

description: A dataset containing 18363 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ageratina adenophora (Spreng.) R.M.King & H.Rob."
 ]
}

 The dataset includes 18363 records from 242 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001255-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.35097/1220
title: Datasets to: The seasonal cycle of ice-nucleating particles linked to the abundance of biogenic aerosol in boreal forests

description: This repository contains the datasets used in the study 'The seasonal cycle of ice-nucleating particles linked to the abundance of biogenic aerosol in boreal forests'. Detailed information and technical aspects of the data can be found in there.
In case more information about the data structure is needed, the folders contain an additional Readme file.
DOI: 10.5281/zenodo.14848113
title: Improving 30-meter global impervious surface area (GISA) mapping: New method and dataset

description: Timely and accurate monitoring of impervious surface areas (ISA) is crucial for effective urban planning and sustainable development. Recent advances in remote sensing technologies have enabled global ISA mapping at fine spatial resolution (<30 m) over long time spans (>30 years), offering the opportunity to track global ISA dynamics. However, existing 30 m global long-term ISA datasets suffer from omission and commission issues, affecting their accuracy in practical applications. To address these challenges, we proposed a novel global longterm ISA mapping method and generated a new 30 m global ISA dataset from 1985 to 2021, namely GISA-new. Specifically, to reduce ISA omissions, a multi-temporal Continuous Change Detection and Classification (CCDC) algorithm that accounts for newly added ISA regions (NA-CCDC) was proposed to enhance the diversity and representativeness of the training samples. Meanwhile, a multi-scale iterative (MIA) method was proposed to automatically remove global commissions of various sizes and types. Finally, we collected two independent test datasets with over 100,000 test samples globally for accuracy assessment. Results showed that GISA-new out performed other existing global ISA datasets, such as GISA, WSF-evo, GAIA, and GAUD, achieving the highest overall accuracy (93.12 %), the lowest omission errors (10.50 %), and the lowest commission errors (3.52 %). Furthermore, the spatial distribution of global ISA omissions and commissions was analyzed, revealing more mapping uncertainties in the Northern Hemisphere. In general, the proposed method in this study effectively addressed global ISA omissions and removed commissions at different scales. The generated high-quality GISAnew can serve as a fundamental parameter for a more comprehensive understanding of global urbanization.
DOI: 10.5281/zenodo.5136329
title: Improving 30-meter global impervious surface area (GISA) mapping: New method and dataset

description: Timely and accurate monitoring of impervious surface areas (ISA) is crucial for effective urban planning and sustainable development. Recent advances in remote sensing technologies have enabled global ISA mapping at fine spatial resolution (<30 m) over long time spans (>30 years), offering the opportunity to track global ISA dynamics. However, existing 30 m global long-term ISA datasets suffer from omission and commission issues, affecting their accuracy in practical applications. To address these challenges, we proposed a novel global longterm ISA mapping method and generated a new 30 m global ISA dataset from 1985 to 2021, namely GISA-new. Specifically, to reduce ISA omissions, a multi-temporal Continuous Change Detection and Classification (CCDC) algorithm that accounts for newly added ISA regions (NA-CCDC) was proposed to enhance the diversity and representativeness of the training samples. Meanwhile, a multi-scale iterative (MIA) method was proposed to automatically remove global commissions of various sizes and types. Finally, we collected two independent test datasets with over 100,000 test samples globally for accuracy assessment. Results showed that GISA-new out performed other existing global ISA datasets, such as GISA, WSF-evo, GAIA, and GAUD, achieving the highest overall accuracy (93.12 %), the lowest omission errors (10.50 %), and the lowest commission errors (3.52 %). Furthermore, the spatial distribution of global ISA omissions and commissions was analyzed, revealing more mapping uncertainties in the Northern Hemisphere. In general, the proposed method in this study effectively addressed global ISA omissions and removed commissions at different scales. The generated high-quality GISAnew can serve as a fundamental parameter for a more comprehensive understanding of global urbanization.
DOI: 10.5281/zenodo.5136330
title: 30 m global impervious surface area dynamics and urban expansion pattern observed by Landsat satellites: from 1972 to 2019

description: Using more than three million Landsat satellite images, this research developed the first global impervious surface area (GISA) dataset from 1972 to 2019. Based on 120,777 independent and random reference sites from 270 cities all over the world, the omission error, commission error, and F-score of GISA are 5.16%, 0.82%, and 0.954, respectively. Compared to the existing global datasets, the merits of GISA include: (1) it provided the global ISA maps before the year of1985, and showed the longest time span (1972–2019), and the highest accuracy (in terms of a large number of randomly selected and third-party validation sample sets); (2) it presented a new global ISA mapping method, including a semi-automatic global sample collection, a locally adaptive classification strategy, and a spatio-temporal post-processing procedure; and (3) it extracted ISA from the whole global land area (not from an urban mask) and hence reduced the underestimation. The GISA can contribute to further understanding on the human's utilization and reformation to nature during the past half century.
DOI: 10.5281/zenodo.6476661
title: Toward accurate mapping of 30-m time-series global impervious surface area (GISA 2.0)

description: As an important indicator of urbanization, accurate and long-term global artificial impervious surface area (ISA) monitoring is vital to biodiversity, water quality assessment, urban heat island, etc. However, the existing several 30-m global ISA datasets exhibit large inconsistencies, due to their differences in training samples and mapping methods. In this context, we proposed a global ISA mapping method by considering the inconsistency of the existing products, based on which we further generated a new 30-m global ISA dataset (GISA 2.0). Specifically, we divided the mapping area into A-Grids and M-Grids in terms of their consistency degrees. An automatic mapping method was proposed for classifying the A-Grids, by extracting training samples from the consistent regions of existing datasets. In the case of M-Grids, where the existing ISA datasets showed large inconsistency, we proposed to add manually interpreted samples, to strengthen the classification in these areas. We randomly selected over 120,000 test samples from 207 global grids. The results showed that GISA 2.0 achieved a F1-score of 0.935, better than GISA 1.0 (0.893), GAIA (0.721) and GAUD (0.809). A further assessment based on 118,822 ZY-3 test samples indicated that the overall accuracy and F1-score of GISA 2.0 outperformed the existing ones.
DOI: 10.21227/48f5-v490
title: XGBoost based PSO for DAB DC-DC converter triple phase shift modulation

description: Dual active bridge (DAB) converter is an important converter for electric vehicles, energy storage systems. Data sets are introduced to control the DC-DC power control. Triple phase-shift of DAB is controlled by the range of zero voltage switching. Optimal switching to reduce high current stress DC-DC converter is In presented data sets are used with python program to execute the different stages of machine learning. Performance of all stages are well addressed each data output file. Multiple phase shift angles are used for a triple phase-shift control algorithm to achieve different operational modes.  For optimal switching duty cycles D0, D1 and D2, output of machine learning is trained and tested. Test results are fed to PSO to obtain the optimal switching duty cycles. The proposed extreme gradient boosting-based PSO triple phase-shift modulation, XGB −PSO−TPSM is trained and tested. Performance of proposed XGB −PSO−TPSM is exhibited by a many data sets for achieving reduced converter current stress. Better power control is assured by the XGB −PSO−TPSM is trained data in renewable energy system. Electric vehicle is one the best suitable and demanded application of DAB converter to ensure proper power control.