cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18320508
title: The System for Classification of Low-Pressure Systems (SyCLoPS) Dataset (Based on ERA5)

description: This is the ERA5 System for Classification of Low-Pressure Systems (SyCLoPS) dataset version 7. SyCLoPS is an LPS classifier built upon the TempesteExtremes (TE) software (GitHub link). Details of SyCLoPS algorithms are described in the paper titled The System for Classification of Low-Pressure Systems (SyCLoPS): An All-in-One Objective Framework for Large-scale Data sets published on J. Geophys. Res. Atm.: [https://doi.org/10.1029/2024JD041287]. Please cite this paper if you use this dataset.

Important: The most up-to-date SyCLoPS codes are now kept on GitHub: [https://github.com/yepkids/SyCLoPS] 

SyCLoPS user manual: [https://climate.ucdavis.edu/syclops.php]*See Chapter 3 of the manual for instructions on how to load and use the output classified catalog*

Updates in this version:



The classified and input LPS datasets have been extended from 1970-2024 to 1940-2024. The classified catalog contains the final classification labels for the LPS nodes and tracks. The input catalog contains the parameters used for classification.

We also provide an equivalent dataset with a 6-hourly tracking frequency (the default is 3 hours). The longer interval alters the beginning and ending phases (when the intensity of the LPS nodes is weak) of some tracks and is expected to produce longer tracks in general. The stitching parameters used in this experiment are described in the comments of the main SyCLoPS program.

The IKE column is removed from this version of the dataset. 

The relative vorticity field is now computed directly in the TE software instead of from the ERA5 data.

We add an "adjusted label" column to compensate for short-term fluctuations/instabilities in the classification labels. Please see the supporting information S4 in our new paper for details (preprint link). It is recommended that this column be used for the final classification.


The following files can be obtained from version 4:



The labeled size blobs of each year: "size_blobs_1979_2022.tar.gz"

The labeled precipitation blobs of each year: "preci_blobs_1979_2022.tar.gz"


Other SyCLoPS-related data products:



SyCLoPS HighresMIP LPS catalogs: Link

SyCLoPS HighresMIP TC-only catalogs: Link


Please contact Yushan Han (yshhan@ucdavis.edu) if you have questions about the SyCLoPS framework. Please contact Paul Ullrich (paullrich@ucdavis.edu) if you have any questions about the TE software.

See below for a table of atmospheric variables required for SyCLoPS and a flowchart of the classification process. See the SyCLoPS manual for more details.
DOI: 10.5281/zenodo.10906284
title: The System for Classification of Low-Pressure Systems (SyCLoPS) Dataset (Based on ERA5)

description: This is the ERA5 System for Classification of Low-Pressure Systems (SyCLoPS) dataset version 7. SyCLoPS is an LPS classifier built upon the TempesteExtremes (TE) software (GitHub link). Details of SyCLoPS algorithms are described in the paper titled The System for Classification of Low-Pressure Systems (SyCLoPS): An All-in-One Objective Framework for Large-scale Data sets published on J. Geophys. Res. Atm.: [https://doi.org/10.1029/2024JD041287]. Please cite this paper if you use this dataset.

Important: The most up-to-date SyCLoPS codes are now kept on GitHub: [https://github.com/yepkids/SyCLoPS] 

SyCLoPS user manual: [https://climate.ucdavis.edu/syclops.php]*See Chapter 3 of the manual for instructions on how to load and use the output classified catalog*

Updates in this version:



The classified and input LPS datasets have been extended from 1970-2024 to 1940-2024. The classified catalog contains the final classification labels for the LPS nodes and tracks. The input catalog contains the parameters used for classification.

We also provide an equivalent dataset with a 6-hourly tracking frequency (the default is 3 hours). The longer interval alters the beginning and ending phases (when the intensity of the LPS nodes is weak) of some tracks and is expected to produce longer tracks in general. The stitching parameters used in this experiment are described in the comments of the main SyCLoPS program.

The IKE column is removed from this version of the dataset. 

The relative vorticity field is now computed directly in the TE software instead of from the ERA5 data.

We add an "adjusted label" column to compensate for short-term fluctuations/instabilities in the classification labels. Please see the supporting information S4 in our new paper for details (preprint link). It is recommended that this column be used for the final classification.


The following files can be obtained from version 4:



The labeled size blobs of each year: "size_blobs_1979_2022.tar.gz"

The labeled precipitation blobs of each year: "preci_blobs_1979_2022.tar.gz"


Other SyCLoPS-related data products:



SyCLoPS HighresMIP LPS catalogs: Link

SyCLoPS HighresMIP TC-only catalogs: Link


Please contact Yushan Han (yshhan@ucdavis.edu) if you have questions about the SyCLoPS framework. Please contact Paul Ullrich (paullrich@ucdavis.edu) if you have any questions about the TE software.

See below for a table of atmospheric variables required for SyCLoPS and a flowchart of the classification process. See the SyCLoPS manual for more details.
DOI: 10.15468/dl.sxdb86
title: Occurrence Download

description: A dataset containing 173 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 (Barbus balcanicus)",
 "Geometry POLYGON((19.0 42.0, 19.0 34.5, 29.7 34.5, 29.7 42.0, 19.0 42.0))"
 ]
}

 The dataset includes 173 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000652-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18776092
title: NATIONALIDENTITYINTHEERAOFGLOBALIZATION:APHILOSOPHICALANALYSIS

description: Globalizationhassignificantlytransformedeconomic,cultural,andsocialstructuresacrosstheworld.Whileitpromotesintegrationandinterculturalexchange,italsoraisesconcernsaboutthepreservationofnationalidentity.Thisarticleanalyzesthephilosophicaldimensionsofnationalidentitywithinthecontextofglobalization.Thestudyexamineshowglobalculturalflows,technologicaldevelopment,andmigrationinfluencetraditionalconceptsofidentity.Throughcomparativephilosophicalanalysis,theresearchevaluatesargumentssupportingculturaluniversalismandthosedefendingnationalparticularism.Thefindingssuggestthatnationalidentityisnotstaticbutdynamic,capableofadaptingtoglobalchangeswhilemaintainingcoreculturalvalues
DOI: 10.5281/zenodo.18776091
title: NATIONALIDENTITYINTHEERAOFGLOBALIZATION:APHILOSOPHICALANALYSIS

description: Globalizationhassignificantlytransformedeconomic,cultural,andsocialstructuresacrosstheworld.Whileitpromotesintegrationandinterculturalexchange,italsoraisesconcernsaboutthepreservationofnationalidentity.Thisarticleanalyzesthephilosophicaldimensionsofnationalidentitywithinthecontextofglobalization.Thestudyexamineshowglobalculturalflows,technologicaldevelopment,andmigrationinfluencetraditionalconceptsofidentity.Throughcomparativephilosophicalanalysis,theresearchevaluatesargumentssupportingculturaluniversalismandthosedefendingnationalparticularism.Thefindingssuggestthatnationalidentityisnotstaticbutdynamic,capableofadaptingtoglobalchangeswhilemaintainingcoreculturalvalues
DOI: 10.15468/dl.p75w62
title: Occurrence Download

description: A dataset containing 20 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 (Salmo pelagonicus)",
 "Geometry POLYGON((19.0 42.0, 19.0 34.5, 29.7 34.5, 29.7 42.0, 19.0 42.0))"
 ]
}

 The dataset includes 20 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000653-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p585vk
title: Occurrence Download

description: A dataset containing 147 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 (Barbus peloponnesius)",
 "Geometry POLYGON((19.0 42.0, 19.0 34.5, 29.7 34.5, 29.7 42.0, 19.0 42.0))"
 ]
}

 The dataset includes 147 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000654-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mueubq
title: Occurrence Download

description: A dataset containing 2860 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Penelope purpurascens",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2026",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2860 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000655-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18775702
title: Nanded City, Pune (4 km²) Multi-Temporal Land-Use/Land-Cover Vector Dataset (2011, 2014, 2017, 2021) [Anonymized]

description: This dataset provides anonymized geospatial vector annotations derived from the file Nanded_City_F1.kml for an approximately 4.002 km² study area in Nanded, Maharashtra, India. It includes multi-temporal layers for 2011, 2014, 2017, and 2021 with normalized classes such as UrbanBuiltUp, Agriculture, Vegetation, WaterBody, Barren, OpenLand, and Roads, plus study-area reference features. Personal names embedded in top-level year-folder labels have been replaced with anonymized annotator IDs. The package includes cleaned geometries (including repairs of invalid polygons where possible), feature-level quality-control flags, derived area and topology summaries, grid-based temporal change products, transition matrices, predictive modeling outputs, and publication metadata templates. It is intended for reuse in GIS workflows, urban growth studies, land-cover change analysis, environmental monitoring, geospatial machine-learning experiments, and teaching. Users should review the included quality and limitations reports before making strict quantitative or policy-level interpretations.
DOI: 10.5281/zenodo.18775701
title: Nanded City, Pune (4 km²) Multi-Temporal Land-Use/Land-Cover Vector Dataset (2011, 2014, 2017, 2021) [Anonymized]

description: This dataset provides anonymized geospatial vector annotations derived from the file Nanded_City_F1.kml for an approximately 4.002 km² study area in Nanded, Maharashtra, India. It includes multi-temporal layers for 2011, 2014, 2017, and 2021 with normalized classes such as UrbanBuiltUp, Agriculture, Vegetation, WaterBody, Barren, OpenLand, and Roads, plus study-area reference features. Personal names embedded in top-level year-folder labels have been replaced with anonymized annotator IDs. The package includes cleaned geometries (including repairs of invalid polygons where possible), feature-level quality-control flags, derived area and topology summaries, grid-based temporal change products, transition matrices, predictive modeling outputs, and publication metadata templates. It is intended for reuse in GIS workflows, urban growth studies, land-cover change analysis, environmental monitoring, geospatial machine-learning experiments, and teaching. Users should review the included quality and limitations reports before making strict quantitative or policy-level interpretations.
DOI: 10.6084/m9.figshare.24237376
title: The Environment for Analysis of Geo-Located Energy Information’s Recorded Electricity Outages 2014-2025

description: The core of the provided dataset includes eight years of power outage information at the county level from 2014 to 2025 at 15-minute intervals collected from utility’s public outage maps on their websites by the EAGLE-I program at ORNL. Three supplementary files are included to augment the power outage data files. The first file includes the customer coverage rate of each state from 2018-2022. The second file provides the modeled number of electric customers per county as of 2022. The third presents our Data Quality Index and the four sub-components by year by FEMA Region for 2018-2022. UPDATE 2/16/2023: Added 2023 outage data and Uri_Map.R and DQI_processing.R files have been added. They were used to create graphics in associated works.<br>UPDATE 4/10/2025: Added 2024 outage data.UPDATE 2/24/2026: Added 2025 outage data.
DOI: 10.6084/m9.figshare.24237376.v4
title: The Environment for Analysis of Geo-Located Energy Information’s Recorded Electricity Outages 2014-2025

description: The core of the provided dataset includes eight years of power outage information at the county level from 2014 to 2025 at 15-minute intervals collected from utility’s public outage maps on their websites by the EAGLE-I program at ORNL. Three supplementary files are included to augment the power outage data files. The first file includes the customer coverage rate of each state from 2018-2022. The second file provides the modeled number of electric customers per county as of 2022. The third presents our Data Quality Index and the four sub-components by year by FEMA Region for 2018-2022. UPDATE 2/16/2023: Added 2023 outage data and Uri_Map.R and DQI_processing.R files have been added. They were used to create graphics in associated works.<br>UPDATE 4/10/2025: Added 2024 outage data.UPDATE 2/24/2026: Added 2025 outage data.
DOI: 10.15468/m353xz
title: New species and faunistic records of Chironomidae (Diptera, Insecta) from Belize

description: This dataset contains the digitized treatments in Plazi based on the original journal article Namayandeh, Armin, Vasquez, Adrian A. (2026): New species and faunistic records of Chironomidae (Diptera, Insecta) from Belize. ZooKeys 1270: 223-244, DOI: 10.3897/zookeys.1270.178431AbstractFour new species and 11 new faunistic records of Chironomidae are described and reported from the Guanacaste National Park, a small patch of tropical forest in the Belize Lowlands, adjacent to the Belize River and in proximity to an urban area. Labrundinia belizensis sp. nov. has a unique pattern and coloration on its abdominal tergites and possesses a transverse sternapodeme without an anterior process, distinguishing it from other related species. Cricotopus mayaorum sp. nov., and Lauterborniella solangelhugo sp. nov. are unusual in their characteristics of antenna, thorax, and hypopygium in comparison to the related species in their respective genus. The Polypedilum (Tripodura) francisae sp. nov. can be distinguished from its congeners by a broad and conoid anal point and a bulbous superior volsella that has a basolateral brush of long spine-like setae. Additionally, in this study, we report on new faunistic records of Chironomidae with both the Nearctic and the Neotropical influence. Given the short period of sampling (i. e., a few days) in which this study was conducted and the number of discoveries, the importance of the Neotropical study of Chironomidae biodiversity can be recognized.
DOI: 10.6084/m9.figshare.24237376.v3
title: The Environment for Analysis of Geo-Located Energy Information’s Recorded Electricity Outages 2014-2024

description: The core of the provided dataset includes eight years of power outage information at the county level from 2014 to 2024 at 15-minute intervals collected from utility’s public outage maps on their websites by the EAGLE-I program at ORNL. Three supplementary files are included to augment the power outage data files. The first file includes the customer coverage rate of each state from 2018-2022. The second file provides the modeled number of electric customers per county as of 2022. The third presents our Data Quality Index and the four sub-components by year by FEMA Region for 2018-2022. UPDATE 2/16/2023: Added 2023 outage data and Uri_Map.R and DQI_processing.R files have been added. They were used to create graphics in associated works.<br>UPDATE 4/10/2025: Added 2024 outage data.
DOI: 10.5281/zenodo.18775977
title: SAS Summary of CH4 fecal output and DMI

description: Raw data from the grazing trial conducted at the NFREC-UF in Marianna, FL, from 2016 to 2018, including measurements of fecal output, mineral content, methane emissions, stocking rate, average daily gain, body weight, dry matter intake (DMI), organic matter (OM), and hand-plucked samples.
DOI: 10.5281/zenodo.17245364
title: SAS Summary of CH4 fecal output and DMI

description: Raw data from the grazing trial conducted at the NFREC-UF in Marianna, FL, from 2016 to 2018, including measurements of fecal output, mineral content, methane emissions, stocking rate, average daily gain, body weight, dry matter intake (DMI), organic matter (OM), and hand-plucked samples.
DOI: 10.15468/dl.dudmrc
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)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Limnothrissa miodon"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000658-260225131425191/datasets/export for details.
DOI: 10.17632/k8d62nfkbv
title: Macrophage-glia interactions regulate immune-damage to enteric neurons during West Nile virus infection [Dataset]

description: In this study, we defined the neuron-glia-macrophage interactions after West Nile virus (WNV) infection; this model neurotropic virus causes GI tract dysmotility in mice via injury of enteric neurons through a T cell-mediated cytolytic mechanism. Our experiments demonstrate that resident macrophages play a critical role in regulating the glial immune response to viral infection in the intestinal muscularis, and that their depletion markedly exacerbates neuronal injury. Data were generated using flow cytometry, fluorescent activated cell sorting, qRT-PCR, immunofluorescent confocal microscopy, RNA sequencing, fluorescent in situ hybridization. There are 4 main Figures and 4 Supplementary Figures. Data were obtained using C57BL6/J mice and Ai3 (YFP) (B6.Cg-Gt(ROSA)26Sortm3(CAG-EYFP)Hze/J, Cx3cr1CreERT2 (B6.129P2(C)-Cx3cr1tm2.1(cre/ERT)Jung/J), Plp1CreERT2 B6.Cg-Tg(Plp1-cre/ERT)3Pop/J); NuTRAP (B6;129S6-Gt(ROSA)26Sortm2(CAG-NuTRAP)Evdr/J) mice; DTA (B6.129P2-Gt(ROSA)26Sortm1(DTA)Lky/J mice.
DOI: 10.17632/k8d62nfkbv.1
title: Macrophage-glia interactions regulate immune-damage to enteric neurons during West Nile virus infection [Dataset]

description: In this study, we defined the neuron-glia-macrophage interactions after West Nile virus (WNV) infection; this model neurotropic virus causes GI tract dysmotility in mice via injury of enteric neurons through a T cell-mediated cytolytic mechanism. Our experiments demonstrate that resident macrophages play a critical role in regulating the glial immune response to viral infection in the intestinal muscularis, and that their depletion markedly exacerbates neuronal injury. Data were generated using flow cytometry, fluorescent activated cell sorting, qRT-PCR, immunofluorescent confocal microscopy, RNA sequencing, fluorescent in situ hybridization. There are 4 main Figures and 4 Supplementary Figures. Data were obtained using C57BL6/J mice and Ai3 (YFP) (B6.Cg-Gt(ROSA)26Sortm3(CAG-EYFP)Hze/J, Cx3cr1CreERT2 (B6.129P2(C)-Cx3cr1tm2.1(cre/ERT)Jung/J), Plp1CreERT2 B6.Cg-Tg(Plp1-cre/ERT)3Pop/J); NuTRAP (B6;129S6-Gt(ROSA)26Sortm2(CAG-NuTRAP)Evdr/J) mice; DTA (B6.129P2-Gt(ROSA)26Sortm1(DTA)Lky/J mice.
DOI: 10.15468/dl.295hz8
title: Occurrence Download

description: A dataset containing 395 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-88.58985 20.69767,-88.61424 20.669,-88.59178 20.63519,-88.56437 20.64371,-88.55279 20.68294,-88.58985 20.69767))",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "PublishingOrg is one of (28eb1a3f-1c15-4a95-931a-4af90ecb574d, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f, 0c6d40e3-5d96-4a2d-9342-b02833aaa766, 1f00d75c-f6fc-4224-a595-975e82d7689c)",
 "TaxonKey is Chordata",
 "Year 2025-2026"
 ]
}

 The dataset includes 395 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000660-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zhwjj3
title: Occurrence Download

description: A dataset containing 1412 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mordellidae"
 ]
}

 The dataset includes 1412 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000656-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vfgcx8
title: Occurrence Download

description: A dataset containing 19438 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-102.41454 19.51518,-102.47573 19.43587,-102.36559 19.29096,-102.22166 19.35509,-102.16291 19.47405,-102.24662 19.55434,-102.36412 19.57784,-102.41454 19.51518))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 19438 records from 203 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000661-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.