cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16753890
title: CESNET-CC25: Dataset for detection of C&C communication of botnets in the IP flow format

description: We introduce a novel dataset, CESNET-CC25, specifically designed to capture up-to-date botnet C&C traffic patterns to address these shortcomings. This dataset provides a richer and more representative collection of contemporary threats, enabling more reliable evaluation of detection methods against modern botnet behaviors, including decentralized architectures and encrypted communications.

 

The IP addresses of benign traffic from the CESNET network were anonymized.

 

The PCAP of botnet communication are available here: https://zenodo.org/records/16752462 

 

Directory Structure

- benign - contains extracted benign network flows- botnet - contains extracted botnet network flows

Botnet directory metadata

+--------------------------------------------------+| Folder     | Family  | C&C IP           | Port   ||------------|---------|------------------|--------|| 1-u4       | Gafgyt  | 38.134.189.10    | 12345  || 2-u5       | Mirai   | 107.172.51.228   | 3778   || 3-u6       | Mirai   | 83.222.191.90    | 13566  || 4-u7       | Mirai   | 141.98.10.115    | 60195  || 5-u8       | Mirai   | 83.222.191.90    | 13566  || 6-u8_2     | Kaiji   | 158.178.235.53   | 888    || 7-u6_3     | Mirai   | 160.191.245.5    | 56999  || 8-u8_3     | Mirai   | 160.191.245.5    | 56999  || 9-u0_0     | Miori   | 79.124.40.48     | 3277   || 10-u5_4    | Hailbot | 146.103.38.7     | 4338*  || 11-u6_4    | Gafgyt  | 103.130.214.198  | 23     || 12-u7_4    | Mirai   | 193.143.1.166    | 1908   || 13-u8_4    | Hailbot | 146.103.38.7     | 17526  || 14-u9      | Hailbot | 185.198.58.166   | 18581* || 15-u10     | Mirai   | 156.244.6.20     | 64715* || 16-u11     | Gafgyt  | 45.135.194.61    | 6606   || 17-u10_3   | Hailbot | 172.86.73.60     | 3130*  || 18-u11_2   | Mirai   | 193.143.1.32*    | 1440   || 19-u11_3   | Mirai   | 172.86.73.60     | 9823*  || 20-u9_4    | Gafgyt  | 185.74.222.38    | 8080   || 21-u10_4   | Mirai   | 96.62.214.212    | 3778   || 22-u11_5   | Gafgyt  | 87.251.79.180    | 12345  || 23-u12_5   | Gafgyt  | 37.44.238.66     | 666    || 24-u12_6   | Mirai   | 84.200.24.112    | 9931   || 25-u9_7    | Xorbot  | 37.44.238.92     | 443    || 26-u10_7   | Gafgyt  | 162.0.214.70     | 1111   || 27-u12_7   | Hailbot | 217.105.153.175  | 11950  || 28-u9_8    | Gafgyt  | 209.141.35.180   | 23     || 29-u10_8   | Mirai   | 159.89.101.70    | 1440   || 30-u11_8   | Gafgyt  | 196.251.80.231   | 839    || 31-u9_9    | Gafgyt  | 37.44.238.66     | 666    || 32-u12_9   | Mirai   | 209.141.59.9     | 3778   |+--------------------------------------------------+
DOI: 10.17632/527zvxjtkb
title: DEEP DYNAMIC DRUG SCORING METHOD: CASE STUDY OF TAXANE β-TUBULIN DISASSEMBLY INHIBITORS

description: Dataset of Computer Aided Drug Design (CADD) and Molecular Dynamics (MD) operations for the article, titled "DEEP DYNAMIC DRUG SCORING METHOD: CASE STUDY OF TAXANE β-TUBULIN DISASSEMBLY INHIBITORS"
DOI: 10.17632/527zvxjtkb.1
title: DEEP DYNAMIC DRUG SCORING METHOD: CASE STUDY OF TAXANE β-TUBULIN DISASSEMBLY INHIBITORS

description: Dataset of Computer Aided Drug Design (CADD) and Molecular Dynamics (MD) operations for the article, titled "DEEP DYNAMIC DRUG SCORING METHOD: CASE STUDY OF TAXANE β-TUBULIN DISASSEMBLY INHIBITORS"
DOI: 10.15468/dl.p45kdx
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thunbergia alata",
 "Country is Madagascar",
 "HasCoordinate is true"
 ]
}

 The dataset includes 43 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020490-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xv9y2tgths
title: Beyond the Deterrence Dilemma: A Game-Theoretic Deconstruction of NATO-Russia Nuclear Postures

description: Since the Cold War, the Ukrainian crisis has repeated itself. Although Trump’s attitude towards Russia has eased since he took office, this posture will not end the series of Ukrainian crises. In his recent dialogue with Zelensky, Trump called for the resumption of a key U.S.-Ukrainian mineral agreement, which is one of the multiple strategic intentions of the U.S. to aid Ukraine, while Russia’s strategic intention is to prevent NATO from continuing its eastward expansion. Both claim their demands are related to national security interests. The former consists of multiple short-term interests, while the latter depends on long-term strategic stability, which depends on several complex factors, and it is not easy to maintain foreign policy coherence in a country with a multi-party government such as the United States. The future resolution of the Ukrainian crisis will depend on the negotiation expectations between the United States and Russia. Based on complex deterrence theory and cognitive deterrence theory, this paper employs non-mathematical game theory to present the multiple rounds of dynamic mutual nuclear deterrence between NATO and Russia with a game tree and information transmission model, aiming at analysing the reasons for the change of NATO’s attitude towards the effectiveness of Russia’s nuclear deterrence in the context of the Ukrainian crisis.
DOI: 10.17632/xv9y2tgths.1
title: Beyond the Deterrence Dilemma: A Game-Theoretic Deconstruction of NATO-Russia Nuclear Postures

description: Since the Cold War, the Ukrainian crisis has repeated itself. Although Trump’s attitude towards Russia has eased since he took office, this posture will not end the series of Ukrainian crises. In his recent dialogue with Zelensky, Trump called for the resumption of a key U.S.-Ukrainian mineral agreement, which is one of the multiple strategic intentions of the U.S. to aid Ukraine, while Russia’s strategic intention is to prevent NATO from continuing its eastward expansion. Both claim their demands are related to national security interests. The former consists of multiple short-term interests, while the latter depends on long-term strategic stability, which depends on several complex factors, and it is not easy to maintain foreign policy coherence in a country with a multi-party government such as the United States. The future resolution of the Ukrainian crisis will depend on the negotiation expectations between the United States and Russia. Based on complex deterrence theory and cognitive deterrence theory, this paper employs non-mathematical game theory to present the multiple rounds of dynamic mutual nuclear deterrence between NATO and Russia with a game tree and information transmission model, aiming at analysing the reasons for the change of NATO’s attitude towards the effectiveness of Russia’s nuclear deterrence in the context of the Ukrainian crisis.
DOI: 10.5281/zenodo.16754270
title: Spatiotemporal Dynamics of Regime Shifts in the Yellow River Delta Coastal Wetland: A Low-Tide Line Perspective
DOI: 10.15468/dl.4huuuu
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thunbergia alata",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020489-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y8n4sk
title: Occurrence Download

description: A dataset containing 2433 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phyllastrephus albigularis)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 2433 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020491-250802193616735/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.28263899
title: Supplementary Data - Adipo-ERalpha Overexpression

description: Supplementary Data
DOI: 10.6084/m9.figshare.28263899.v1
title: Supplementary Data - Adipo-ERalpha Overexpression

description: Supplementary Data
DOI: 10.5065/0996-5716
title: ICARUS Chamber Experiment: Nguyen Group_20190521_ALPHA-PINENE/hydrogen peroxide/OZONE_Ozone_Ammonium sulfate_control_for_20190425

description: Goals: Provide a "no-NO2" blank for the 20190425 experiment, to subtract off the ozonolysis chemistry observed here from the ozonolysis + NO3 chemistry in that experimentSummary: H2O2 and O3 were injected in the chamber and allowed to equilibrate, and seed particles were atomized. Then a-pinene was injected and decayed by reaction with ozone. Gas phase was monitored by CF3O- CIMS and particle formation by SMPS. A filter was collected for later offline analysis.Organization: Nguyen Group Lab Affiliation: UC Davis Chamber: Tran's big bag of airExperiment Category: Gas phase chemical reaction, Aerosol formation Oxidant: Ozone Reactants: ALPHA-PINENE, hydrogen peroxide, OZONE Reaction Type: Dark oxidation Relative Humidity: 5 Temperature: 22 Seed Name: Ammonium sulfate Pressure: 755 Torr
DOI: 10.15468/dl.sqmqqp
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thunbergia alata",
 "Country is Jamaica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 32 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020488-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ej4s4k
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Vanellus tectus)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020493-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rzfryy
title: Occurrence Download

description: A dataset containing 8667 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Vanellus tectus)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 8667 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020497-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5065/wzcd-nr42
title: ICARUS Chamber Experiment: Caltech Atmospheric Chamber_20130415_trans-beta IEPOX/hydrogen peroxide_Hydroxyl radical_Ammonium sulfate_AqueousPhotooxidation

description: Goals: This is similar to the 130410 experiment except that H2O2 is atomized with ammonium sulfate in the particles. IEPOX was introduced to hydrated ammonium sulfate at 50% RH, the chamber was cooled to to remove the IEPOX from the gas phase (no more traces in CIMS); this increased the RH to ~80%) then lights turned on to photolyze the IEPOX on the particles.Summary: Gaseous H2O2 was not observed when the H2O2 was atomized with AS in the particle, which suggests all the reaction was in the particle phase. The organic aerosol as seen on AMS reacted nearly all away. Fragmentation products such as hydroxyacetone, glycolaldehyde, formic acid, acetic acid, and peroxyacetic acid were seen as products on CIMSOrganization: Caltech Atmospheric Chamber Lab Affiliation: California Institute of Technology, Pasadena, CA Chamber: Near/Far Bag 2012-2015 (Tran)Experiment Category: Condensed-phase chemical reaction, Multiphase chemical reaction Oxidant: Hydroxyl radical Reactants: trans-beta IEPOX, hydrogen peroxide Reaction Type: Photooxidation, Heterogeneous oxidation, Other aqueous/aerosol phase Relative Humidity: 49-80 Temperature: 16-22 Seed Name: Ammonium sulfate Pressure: 750 Torr
DOI: 10.5281/zenodo.16754325
title: TABLE 1 in Nesiophasma davisdamaledoi sp. nov. - a new stick insect from the island of Sumba, Indonesia (Insecta: Phasmatodea)

description: TABLE 1. Measurements of Nesiophasma davisdamaledoi sp. nov. [mm].
HT, ♀ [MZB]PT, ♂♂PT, ♀♀Body (incl. subgenital plate)157.0-131.0–167.0Body148.088.5–105.0121.5–152.0Pronotum5.32.8–3.14.7–5.4Mesonotum31.521.3–25.225.0–32.0Metanotum15.59.9–12.913.2–16.2Median segment5.84.5–5.34.8–6.0Profemora38.030.2–37.231.0–40.5Mesofemora27.222.0–28.022.7–28.0Metafemora33.026.5–34.834.4–36.2Protibiae40.133.1–43.033.3–43.3Mesotibiae26.321.8–27.921.2–36.2Metatibiae34.833.5–37.327.6–36.8Antennae-67.0–75.055.0–68.0
description: Published as part of Hennemann, Frank H., Damastra, Garda Bagus, Tirant, Stéphane Le & Suputa, 2025, Nesiophasma davisdamaledoi sp. nov. - a new stick insect from the island of Sumba, Indonesia (Insecta: Phasmatodea), pp. 206 in Zootaxa 5660 (2) on page 206, DOI: 10.11646/zootaxa.5660.2.2, http://zenodo.org/record/16602945
DOI: 10.5281/zenodo.16754326
title: TABLE 1 in Nesiophasma davisdamaledoi sp. nov. - a new stick insect from the island of Sumba, Indonesia (Insecta: Phasmatodea)

description: TABLE 1. Measurements of Nesiophasma davisdamaledoi sp. nov. [mm].
HT, ♀ [MZB]PT, ♂♂PT, ♀♀Body (incl. subgenital plate)157.0-131.0–167.0Body148.088.5–105.0121.5–152.0Pronotum5.32.8–3.14.7–5.4Mesonotum31.521.3–25.225.0–32.0Metanotum15.59.9–12.913.2–16.2Median segment5.84.5–5.34.8–6.0Profemora38.030.2–37.231.0–40.5Mesofemora27.222.0–28.022.7–28.0Metafemora33.026.5–34.834.4–36.2Protibiae40.133.1–43.033.3–43.3Mesotibiae26.321.8–27.921.2–36.2Metatibiae34.833.5–37.327.6–36.8Antennae-67.0–75.055.0–68.0
description: Published as part of Hennemann, Frank H., Damastra, Garda Bagus, Tirant, Stéphane Le & Suputa, 2025, Nesiophasma davisdamaledoi sp. nov. - a new stick insect from the island of Sumba, Indonesia (Insecta: Phasmatodea), pp. 206 in Zootaxa 5660 (2) on page 206, DOI: 10.11646/zootaxa.5660.2.2, http://zenodo.org/record/16602945
DOI: 10.15468/dl.mr2cyv
title: Occurrence Download

description: A dataset containing 1232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phyllastrephus debilis)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 1232 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020499-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e6qs47
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Epidendrum radicans"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020498-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4yrqs8
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",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Vanellus tectus)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020500-250802193616735/datasets/export for details.
DOI: 10.15468/dl.pk4yvp
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pangio myersi)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020503-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/c7smm2xckk
title: Dataset on CO₂ Emissions, Economic Growth, and RE Stock Trading in India

description: Dataset Description
This dataset contains annual time series data for India from 2002 to 2022, compiled to study the relationship between economic growth, environmental quality, and the development of the renewable energy (RE) sector in capital markets.

Variables Included
The dataset includes the following variables:
CO₂ Emissions (tons per capita)
Gross Domestic Product (GDP) – measured in Real GDP per capita (in constant 2015 USD)
GDP Squared (GDP²) – to capture potential non-linear effects
Traded Value of Renewable Energy Equities – annual traded value of RE firms' equities, calculated as the product of the traded share quantities and their respective market prices. Then, those values are normalized by dividing with constant real GDP of India of that year. 
Greenhouse Gas (GHG) Emissions – included as an alternative measure of environmental quality

Data Sources
Data on CO₂ emissions is sourced from the International Energy Agency (IEA, 2025), whereas GHG emissions data is obtained from the website of Our World in Data.
GDP and GDP²: Obtained from the World Development Indicators (WDI) database
Traded Value of RE Equities: Collected from Centre for Monitoring Indian Economy (CMIE) Prowess IQ database for renewable energy companies listed at NSE India Ltd., in India. Values were aggregated annually and deflated to constant prices.

How to Interpret the Data
All variables are organized as annual time series.
Log transformation is applied to continuous variables (e.g., CO₂, GDP, RE traded value) to ensure scale consistency and facilitate regression analysis.
GDP² is computed from the log-transformed GDP to allow analysis of potential non-linear relationships with emissions.
Each row represents a single year, and each column corresponds to one of the variables listed above.

This dataset can be used for:
Time series econometric modeling 
Policy analysis on green finance, emissions, and sustainable growth
Replication studies or extended analyses in environmental economics or financial development research

It is provided in Excel format and ready for use in statistical software such as R, Stata, EViews, or Python.
DOI: 10.17632/c7smm2xckk.1
title: Dataset on CO₂ Emissions, Economic Growth, and RE Stock Trading in India

description: Dataset Description
This dataset contains annual time series data for India from 2002 to 2022, compiled to study the relationship between economic growth, environmental quality, and the development of the renewable energy (RE) sector in capital markets.

Variables Included
The dataset includes the following variables:
CO₂ Emissions (tons per capita)
Gross Domestic Product (GDP) – measured in Real GDP per capita (in constant 2015 USD)
GDP Squared (GDP²) – to capture potential non-linear effects
Traded Value of Renewable Energy Equities – annual traded value of RE firms' equities, calculated as the product of the traded share quantities and their respective market prices. Then, those values are normalized by dividing with constant real GDP of India of that year. 
Greenhouse Gas (GHG) Emissions – included as an alternative measure of environmental quality

Data Sources
Data on CO₂ emissions is sourced from the International Energy Agency (IEA, 2025), whereas GHG emissions data is obtained from the website of Our World in Data.
GDP and GDP²: Obtained from the World Development Indicators (WDI) database
Traded Value of RE Equities: Collected from Centre for Monitoring Indian Economy (CMIE) Prowess IQ database for renewable energy companies listed at NSE India Ltd., in India. Values were aggregated annually and deflated to constant prices.

How to Interpret the Data
All variables are organized as annual time series.
Log transformation is applied to continuous variables (e.g., CO₂, GDP, RE traded value) to ensure scale consistency and facilitate regression analysis.
GDP² is computed from the log-transformed GDP to allow analysis of potential non-linear relationships with emissions.
Each row represents a single year, and each column corresponds to one of the variables listed above.

This dataset can be used for:
Time series econometric modeling 
Policy analysis on green finance, emissions, and sustainable growth
Replication studies or extended analyses in environmental economics or financial development research

It is provided in Excel format and ready for use in statistical software such as R, Stata, EViews, or Python.
DOI: 10.15468/dl.vtcebp
title: Occurrence Download

description: A dataset containing 1039 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CollectionKey is 1accb127-69ff-4f92-beef-faba6ec8c729",
 {
 "and" : [
 "TaxonKey is one of (Catostomidae, Catostomus)",
 "VerbatimScientificName is one of (pantosteus discobolus, catostomus, catostomus plebeius, catostomidae, catostomus discobolus, catostomus clarkii, pantosteus clarki rheophilus, catostomus clarki, pantosteus clarki intermedius, pantosteus platyrhynchus, pantosteus)"
 ]
 }
 ]
}

 The dataset includes 1039 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020504-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.