cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8192149
title: Aventa AV-7 (6kW) IET-OST Research Wind Turbine SCADA

description: SCADA Data from Aventa AV-7 (6kW) Research Wind Turbine, located in Taggenberg (ZH), Lat:47.52 Long:8.68236. The turbine is owned by IET-OST. The data covers time period from 2022-01-01 to 2023-07-20, sampled at 1Hz. The dataset is intended for environmental and operational analysis.15 SCADA Channels contain timeseries observations (at 1Hz) of: Rotor speed in RPM, Generator speed in RPM, Stator temperature in C, Windspeed in m/s, Converter active power in kW, Wind direction w.r.t. nacelle measured in degrees, System supply voltage 24V , Pitch angle in degrees, Turbine status.Structured metadata about wind turbine characteristics and SCADA channels is included as JSON files and CSV. Additional information is available upon request.
description: Additional Funding Information: The data collection, management  and publication is partially funded by OST - Ostschweizer Fachhochschule
DOI: 10.21410/7e4/pcslp8
title: Candidatures - Élections européennes du 9 juin 2024

description: Les fichiers des Élections européennes du 9 juin 2024 sont construits à partir d’un nuancier des candidatures incluant trois niveaux de codage. Le niveau 1 correspond à l’ensemble des nuances attribués pour chaque scrutin. Le niveau 2 correspond à des codes simplifiés qui facilitent la lecture des résultats d’un scrutin tout en conservant les spécificités de la construction de l’offre électorale. Le niveau 3 correspond à des codes agrégés qui permettent d’assurer la comparaison dans le temps. Pour chaque scrutin, une arborescence décrit les logiques d’articulation entre ces trois niveaux de codage. Le codage s’appuie sur trois sources d’information complémentaires : les professions de foi des candidats, les investitures accordées par les partis et la presse. Ces informations ont été collectées au moment des scrutins ou grâce à du travail d’archive. La construction des codes Les codes du niveau 1 associent des informations sur les alliances entre partis et sur les appartenances partisanes individuelles des candidats titulaires. La forme classique d’un code est ALLIANCE (PARTI). Quand une candidature n’est pas issue d’une alliance, le code est seulement sous la forme PARTI. Les nuances Le dictionnaire des nuances comporte 85 codes pour le niveau 1, 48 codes pour le niveau 2 et 23 codes pour le niveau 3.
DOI: 10.21410/7e4/pcslp8/ak8sry
title: FERD - E2024 - Dépôt candidatures.zip

description: :unav
DOI: 10.21410/7e4/pcslp8/l6uxox
title: FERD - E2024 - Dépôt candidatures_2.zip

description: :unav
DOI: 10.15468/dl.vsas8r
title: Occurrence Download

description: A dataset containing 246424 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Geometry POLYGON((9.6867 3.53797,9.99312 3.95288,10.56107 4.52082,11.60229 5.73243,12.41634 7.00084,13.61305 7.0518,14.09443 7.05899,14.63329 7.18113,14.99971 7.26735,15.2871 7.43978,15.14341 7.72717,14.66203 8.06485,14.28842 8.30914,13.82141 8.43846,13.52683 8.52468,13.33284 8.4672,14.02921 9.88314,14.72609 10.63504,14.89114 11.71703,14.15758 12.19385,13.49738 12.43225,12.36037 12.63398,11.71851 12.46893,11.16834 11.66202,10.92993 11.22188,10.92993 10.21324,11.26003 9.9565,11.55211 9.63321,10.61456 8.40481,10.88933 8.69368,8.94933 5.66519,8.67424 5.35342,8.61923 5.1517,8.54587 4.85827,8.59429 4.28945,8.65479 4.08276,9.6867 3.53797))",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 246424 records from 161 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015092-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ukrekc
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Squatina californica Ayres, 1859",
 "Year 2024-2025"
 ]
}

 The dataset's 1 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015098-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13984056
title: T5ProtChem Data and Weights
DOI: 10.5281/zenodo.13984057
title: T5ProtChem Data and Weights
DOI: 10.15468/dl.q3ttfz
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Phytolacca polyandra Batalin"
 ]
}

 The dataset includes 91 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015103-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/d77p2tpt3x
title: Mapping the Evolution and Future Directions of Language Education Research: A Comprehensive Bibliometric Analysis

description: this is the data base for systematic review of language education
DOI: 10.17632/d77p2tpt3x.1
title: Mapping the Evolution and Future Directions of Language Education Research: A Comprehensive Bibliometric Analysis

description: this is the data base for systematic review of language education
DOI: 10.17632/pr4m594vmf.1
title: SHADE 2021: Meso-scale 2m air temperature around New York City and Pittsburgh
DOI: 10.17632/pr4m594vmf.2
title: SHADE 2021: Meso-scale 2m air temperature around New York City and Pittsburgh

description: The dataset contains ambient air temperature at 2m above the ground (2m air temperature) for mesoscale domains around New York City (NYC) and Pittsburgh (PGH), which is used in Choi. et al. (2021).  Weather Research and Forecasting Model (WRF), coupled with Princeton Urban Canopy Model (PUCM), reanalyzes historical 6-hourly 12km × 12km data of North American Meso-scale Forecast System 12km Analysis (NAM-ANL) to 1km × 1km gird data. The dataset covers domains around NYC (160km  ×  160km) and PGH (200km  × 200km) for three months of summer (June/July/August) from 2016 and 2018. The dataset also contains testset from August 01 to August 03, 2019.

In each {year}JJA{location}.mat file:
lon (degree): Longitude of grid points,
lat (degree): Latitude of grid points,
t2data.datetime (yyyy-MM-dd_HH:mm:ss): datetime of temperature field,
t2data.t2 (celcius): 2m air temperature

The data is used to analyze historical near-surface temperature around the cities in the article, entitled "Short-term probabilistic forecastsing of meso-scale near-surface urban temperature fields" (DOI: 10.1016/j.envsoft.2021.105189).
DOI: 10.17632/pr4m594vmf.3
title: SHADE 2021: Meso-scale 2m air temperature around New York City and Pittsburgh

description: The dataset contains ambient air temperature at 2m above the ground (2m air temperature) for mesoscale domains around New York City (NYC) and Pittsburgh (PGH), which is used in Choi. et al. (2021). Weather Research and Forecasting Model (WRF), coupled with Princeton Urban Canopy Model (PUCM), reanalyzes historical 6-hourly 12km × 12km data of North American Meso-scale Forecast System 12km Analysis (NAM-ANL) to 1km × 1km gird data. The dataset covers domains around NYC (160km × 160km) and PGH (200km × 200km) for three months of summer (June/July/August) from 2016 and 2018. The dataset also contains testset from August 01 to August 03, 2019.

In each {year}JJA{location}.mat file:
lon (degree): Longitude of grid points,
lat (degree): Latitude of grid points,
t2data.datetime (yyyy-MM-dd_HH:mm:ss): datetime of temperature field,
t2data.t2 (celcius): 2m air temperature

The data is used to analyze historical near-surface temperature around the cities in the article, entitled "Short-term probabilistic forecastsing of meso-scale near-surface urban temperature fields" (DOI: 10.1016/j.envsoft.2021.105189).
DOI: 10.5281/zenodo.15046008
title: Citarum Watershed Soil Erosion Dataset

description: This dataset provides a comprehensive collection of geospatial and tabular data for soil erosion analysis in the Citarum watershed, Indonesia, using the Universal Soil Loss Equation (USLE) methodology. It includes GIS-based maps, vector shapefiles, and numerical datasets essential for modeling erosion processes and assessing soil loss risk. The dataset is categorized into key components: GIS-generated erosion hazard maps, watershed zoning and hydrological infrastructure, land cover classification, and USLE factor layers (R, K, LS, C, P). Additionally, tabular data such as historical rainfall records, rainfall erosivity calculations, and erosion factor datasets support quantitative modeling and validation.
DOI: 10.5281/zenodo.15046009
title: Citarum Watershed Soil Erosion Dataset

description: This dataset provides a comprehensive collection of geospatial and tabular data for soil erosion analysis in the Citarum watershed, Indonesia, using the Universal Soil Loss Equation (USLE) methodology. It includes GIS-based maps, vector shapefiles, and numerical datasets essential for modeling erosion processes and assessing soil loss risk. The dataset is categorized into key components: GIS-generated erosion hazard maps, watershed zoning and hydrological infrastructure, land cover classification, and USLE factor layers (R, K, LS, C, P). Additionally, tabular data such as historical rainfall records, rainfall erosivity calculations, and erosion factor datasets support quantitative modeling and validation.
DOI: 10.17632/hxwdhpb56g.1
title: LINF_110012100

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/zh67wcd3ft.1
title: LINF_110013200

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/dkmdgygv5j
title: LINF_110013500

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/dkmdgygv5j.1
title: LINF_110013500

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/ytn5nd2ypm.1
title: LINF_110014200

description: Pds5-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.rsp46j
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is University of Michigan Museum of Zoology, Pathogen Biorepository Initiative",
 "TaxonKey is Myotis pilosatibialis LaVal, 1973"
 ]
}

 The dataset includes 44 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015104-250310093411724/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.26542972
title: Fos data for "Heightened lateral habenula activity during stress produces brainwide and behavioral substrates of susceptibility"

description: Fos data for "Heightened lateral habenula activity during stress produces brainwide and behavioral substrates of susceptibility"bioRxiv: https://doi.org/10.1101/2023.11.06.565681<br>Neuron: https://doi.org/10.1016/j.neuron.2024.09.009
DOI: 10.17632/fkf6wzx9zy.1
title: LINF_110015500

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/6292j9s37h.1
title: Ethical Implications of Artificial Intelligence in Vaccine Equity: Exploring Vaccine Distribution Planning and Scheduling in Pandemics in Low-Middle-Income-Countries

description: This dataset comprises a witness seminar transcript exploring the effectiveness of AI-based distribution planning and scheduling systems in ensuring equitable vaccine distribution in Low- and Middle-Income Countries (LMICs). The dataset includes discussions from multiple expert participants, including public health professionals, AI researchers, medical practitioners, and ethicists, who shared their perspectives based on their experiences during the COVID-19 vaccine rollout. The research questions focused on identifying systemic inequities in vaccine distribution, the role of AI in scheduling and outreach, and ethical considerations regarding data privacy, bias, and accessibility. Participants discussed how digital platforms such as India’s CoWIN app improved vaccine tracking and administration but also highlighted key challenges, such as limited smartphone access, digital illiteracy, and exclusion of marginalized groups (e.g., transgender individuals, persons with disabilities, and rural communities). Experts noted that AI-based systems require a hybrid approach, combining technological solutions with ground-level outreach by community health workers to ensure equity. The thematic analysis of the transcript reveals recurring themes such as AI's role in optimizing vaccine delivery, ethical concerns regarding data privacy, digital literacy barriers, and challenges in reaching underserved populations. Participants emphasized that while AI can enhance efficiency and tracking, it also risks reinforcing existing inequities if data biases and structural healthcare disparities are not addressed. Discussions further examined the importance of community engagement, transparency, and policy interventions in refining AI-driven vaccine distribution models. This dataset provides rich qualitative insights into the intersection of technology, ethics, and health equity, offering valuable guidance for policymakers, researchers, and global health organizations aiming to improve AI-driven public health interventions in LMICs.
DOI: 10.15468/dl.btssj8
title: Occurrence Download

description: A dataset containing 5122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "OccurrenceStatus is Present",
 "TaxonKey is Chrysomelidae"
 ]
}

 The dataset includes 5122 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015105-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7gt4vtfwpn.1
title: Decision matrix including performance values of localization for offshore wind farm in the Polish Baltic Sea zone

description: This dataset contains values collected for seven offshore wind farm projects that are planned to be developed in the Polish Exclusive Economic Zone of the Baltic Sea in the area designated in the offshore development plan in the area of Słupsk Shoal, Central Shoal, and Odrzana Shoal. The data was collected during the course of the company's own work on the basis of the Offshore Wind Farm Development Program, for seven selected alternative sites included therein https://www.gov.pl/web/morska-energetyka-wiatrowa/program-rozwoju-morskich-farm-wiatrowych .

The criteria of the multi-criteria evaluation model for which data was collected are listed below. Criteria are grouped into 4 main groups: Localization criteria, Market criteria, Economic benefits, and Costs.

The collected dataset, including 32 criteria for assessing wind farms' localizations, is provided in the XLSX file. The data is arranged in a two-dimensional decision matrix, with seven alternatives placed in rows and 32 criteria placed in columns.

Detailed dataset description including particular criteria names is provided in PDF file.
DOI: 10.5517/ccdc.csd.cc24j11s
title: CCDC 1981614: Experimental Crystal Structure Determination

description: Related Article: Ting Li, Xiaoqin Cui, Linfeng Liang, Cui Luo, Huan Li, Xian-Ming Zhang|2020|RSC Advances|10|19397|doi:10.1039/D0RA01244K
description: Related Article: Li, Ting, Cui, Xiaoqin, Li, Huan, Zhang, Xian-Ming|2020|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc24mlm0
title: CCDC 1985042: Experimental Crystal Structure Determination

description: Related Article: Raman Kumar|2020|CSD Communication|||
description: Related Article: Raman Kumar, Subash C. Sahoo, Prasant K. Nanda|2021|Eur.J.Inorg.Chem.|2021|1057|doi:10.1002/ejic.202001094
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.ykxmys
title: Occurrence Download

description: A dataset containing 251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mocyta clientula (Erichson, 1839)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 251 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015106-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/as1zwh
title: Cooling energy.tab
DOI: 10.57745/laqfgp
title: README.md

description: :unav
DOI: 10.57745/wtltts
title: gtc_brick.ttl

description: :unav
DOI: 10.57745/ybcaqf
title: Heating energy.tab
DOI: 10.57745/1mgyj2
title: Cooling energy.tab
DOI: 10.57745/1pqniy
title: CO2 - Setpoint.tab
DOI: 10.57745/29avsn
title: CO2 concentration.tab
DOI: 10.57745/3tduph
title: Cold Temperature - Setpoint.tab
DOI: 10.57745/42bz7d
title: Hot temperature - Setpoint.tab
DOI: 10.57745/4bov8s
title: Cold Temperature - Setpoint.tab
DOI: 10.57745/5aavgd
title: Cooling energy.tab
DOI: 10.57745/71lhrh
title: Return water temperature (radiator).tab
DOI: 10.57745/7rusxv
title: Indoor ambient temperature.tab
DOI: 10.57745/8eatoj
title: Cold Temperature - Setpoint.tab
DOI: 10.57745/9mv5fo
title: CO2 - Setpoint.tab
DOI: 10.57745/a1uwig
title: Return water temperature (radiator).tab
DOI: 10.57745/aa3pf5
title: Indoor ambient temperature.tab
DOI: 10.57745/ayc8uq
title: CO2 concentration.tab
DOI: 10.57745/bjybef
title: Supply water Temperature (radiator).tab
DOI: 10.57745/dl0rzm
title: Cooling energy.tab
DOI: 10.57745/dnalm6
title: Water flow in radiators.tab
DOI: 10.57745/drzkuj
title: Hot temperature - Setpoint.tab
DOI: 10.57745/ebwz7j
title: Indoor ambient temperature.tab
DOI: 10.57745/ecrjvc
title: CO2 concentration.tab
DOI: 10.57745/egfjxl
title: VAV damper position.tab
DOI: 10.57745/eocfl8
title: Return water temperature (radiator).tab
DOI: 10.57745/erqjva
title: Hot temperature - Setpoint.tab
DOI: 10.57745/f842qp
title: VAV damper position.tab
DOI: 10.57745/fveybh
title: Water flow in radiators.tab
DOI: 10.57745/fzqmxu
title: VAV damper position.tab
DOI: 10.57745/gpwzjd
title: Supply water Temperature (radiator).tab
DOI: 10.57745/hbesij
title: HVAC Power.tab
DOI: 10.57745/hcdigf
title: Cooling energy.tab
DOI: 10.57745/hos54z
title: Heating energy.tab
DOI: 10.57745/hsxua9
title: Cooling energy.tab
DOI: 10.57745/id3w4k
title: CO2 concentration.tab
DOI: 10.57745/iiawjr
title: Cooling energy.tab
DOI: 10.57745/ip6cul
title: CO2 concentration.tab
DOI: 10.57745/jasivr
title: Cold Temperature - Setpoint.tab
DOI: 10.57745/jwqrmg
title: Hot temperature - Setpoint.tab
DOI: 10.57745/jxcxkw
title: HVAC Power.tab
DOI: 10.57745/k7ctxp
title: Cooling energy.tab
DOI: 10.57745/mdopz1
title: Water flow in radiators.tab
DOI: 10.57745/mm1ykp
title: Water flow in radiators.tab
DOI: 10.57745/n2fssp
title: HVAC Power.tab
DOI: 10.57745/na1m6q
title: Return water temperature (radiator).tab
DOI: 10.57745/nr60y3
title: VAV damper position.tab
DOI: 10.57745/ob4cjh
title: HVAC Power.tab
DOI: 10.57745/ojkqwa
title: CO2 concentration.tab
DOI: 10.57745/ovmwhp
title: Return water temperature (radiator).tab
DOI: 10.57745/pniphk
title: Heating energy.tab
DOI: 10.57745/rjgwid
title: Indoor ambient temperature.tab
DOI: 10.57745/rxudq9
title: HVAC Power.tab
DOI: 10.57745/s17bcs
title: Heating energy.tab
DOI: 10.57745/sih0m2
title: Cold Temperature - Setpoint.tab
DOI: 10.57745/taspxq
title: Supply water Temperature (radiator).tab
DOI: 10.57745/thdwur
title: Supply water Temperature (radiator).tab
DOI: 10.57745/tixr0k
title: Supply water Temperature (radiator).tab
DOI: 10.57745/txxaqh
title: HVAC Power.tab
DOI: 10.57745/umybkq
title: VAV damper position.tab
DOI: 10.57745/uvi5kr
title: VAV damper position.tab
DOI: 10.57745/vabdwg
title: CO2 concentration.tab
DOI: 10.57745/vb5xg5
title: Heating energy.tab
DOI: 10.57745/vdg6kl
title: Hot temperature - Setpoint.tab
DOI: 10.57745/vhetcu
title: HVAC Power.tab
DOI: 10.57745/vqq78y
title: Water flow in radiators.tab
DOI: 10.57745/w6w0bi
title: CO2 - Setpoint.tab
DOI: 10.57745/w96nwu
title: Indoor ambient temperature.tab
DOI: 10.57745/w9unsa
title: Water flow in radiators.tab
DOI: 10.57745/wofhos
title: Indoor ambient temperature.tab
DOI: 10.57745/x10hu9
title: Water flow in radiators.tab
DOI: 10.57745/x9ackr
title: Heating energy.tab
DOI: 10.57745/xbxksk
title: Heating energy.tab
DOI: 10.57745/xutvou
title: Hot temperature - Setpoint.tab
DOI: 10.57745/yaspes
title: Indoor ambient temperature.tab
DOI: 10.57745/ybvedj
title: Supply water Temperature (radiator).tab
DOI: 10.57745/ynyv9n
title: CO2 - Setpoint.tab
DOI: 10.57745/z7t4w0
title: Return water temperature (radiator).tab
DOI: 10.57745/zd0m8k
title: CO2 - Setpoint.tab
DOI: 10.57745/zqg5if
title: CO2 - Setpoint.tab
DOI: 10.57745/1rrnb2
title: Cooling energy of the AHU.tab
DOI: 10.57745/2hzuoe
title: Cold Temperature - Setpoint.tab
DOI: 10.57745/csfckk
title: Heating energy of the AHU.tab
DOI: 10.57745/fn5jfr
title: Water flow in radiators.tab
DOI: 10.57745/g2sr68
title: Outlet Air flow at AHU.tab
DOI: 10.57745/h0plpd
title: GreEn-ER_with_PREDIS-MHI_monozone.geojson

description: GeoJSON description of the geometry of the GreEn-ER building clearly showing the PREDIS-MHI platform and other building sections
DOI: 10.57745/if2puy
title: Indoor ambient temperature.tab
DOI: 10.57745/kxtiuv
title: Water flow at AHU.tab
DOI: 10.57745/la26re
title: Return air temeprature at AHU.tab
DOI: 10.57745/necodb
title: Supply air temperature at AHU.tab
DOI: 10.57745/soa2fd
title: Inlet Air flow at AHU.tab
DOI: 10.57745/tv7hrz
title: AHU Power.tab
DOI: 10.57745/vjd48l
title: predis-mhi.ttl

description: Machine-readable description of the energy system
DOI: 10.57745/vx6izj
title: generate.py

description: Code to generate the BRICK description of the PREDIS-MHI platform in the GreEn-ER building
DOI: 10.57745/w5vjmg
title: Supply water Temperature (radiator).tab
DOI: 10.57745/wsgukr
title: Return water temperature (radiator).tab
DOI: 10.57745/yxrbml
title: Heating energy.tab
DOI: 10.15468/dl.tm3t57
title: Occurrence Download

description: A dataset containing 15519 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "TaxonKey is Asparagales"
 ]
}

 The dataset includes 15519 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015108-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j2h2du
title: Occurrence Download

description: A dataset containing 5122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "OccurrenceStatus is Present",
 "TaxonKey is Chrysomelidae"
 ]
}

 The dataset includes 5122 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015110-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.