cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16894250
title: Dnipro River (Kyiv, Ukraine) 2024 hydrochemical monitoring across an urban gradient (km 825–897)

description: Hydrochemical monitoring data for the urban segment of the Dnipro River in Kyiv, Ukraine (Jan–Nov 2024), sampled across river-kilometre 825–897 to represent an upstream → urban core → downstream gradient. The CSV (Dataset_2024.csv, UTF-8, comma-separated, ISO dates) includes:

- Date (YYYY-MM-DD)- NH4_N_mgL — ammonium as N (mg N/L)- BOD5_mgO2dm3, DO_mgO2dm3 — 5-day BOD and dissolved oxygen (mg O₂/L)- Suspended_mgL — suspended solids (mg/L)- NO3_mgL, NO2_mgL, SO4_mgL, PO4_mgL, Cl_mgL — nitrate, nitrite, sulfate, phosphate, chloride (mg/L)- River_km — river chainage (km)

Data sourced from the Ukrainian Hydrometeorological Centre and the Water Agency of Ukraine. Basic quality control included unit harmonisation and range checks; the original structure is preserved for reproducibility. Note: Missing values (e.g., ~20% for PO4 and SO4) are due to measurement limitations; high NH4_N values (up to 109.6 mg/L at 855 km) reflect peak pollution near the Bortnychi Aeration Station.

Intended use: urban water-quality assessment (e.g., WPI/TCI calculations), trend analysis across an urban gradient. Accompanying file sites_metadata.csv provides station metadata.

License: CC BY 4.0.How to cite: Zhukova, O., Starzhynskyi P., Korduba I., Negoda N., and Prokopenko I., 2025. Dnipro River (Kyiv, Ukraine) 2024 – hydrochemical dataset (urban gradient). Version 1.0. Dataset. Zenodo. DOI: 10.5281/zenodo.16894251.Contact: Pavlo Starzhynskyi (pavlostarzhynskyi@gmail.com, ORCID: 0009-0004-4495-9309).
DOI: 10.5281/zenodo.16894251
title: Dnipro River (Kyiv, Ukraine) 2024 hydrochemical monitoring across an urban gradient (km 825–897)

description: Hydrochemical monitoring data for the urban segment of the Dnipro River in Kyiv, Ukraine (Jan–Nov 2024), sampled across river-kilometre 825–897 to represent an upstream → urban core → downstream gradient. The CSV (Dataset_2024.csv, UTF-8, comma-separated, ISO dates) includes:

- Date (YYYY-MM-DD)- NH4_N_mgL — ammonium as N (mg N/L)- BOD5_mgO2dm3, DO_mgO2dm3 — 5-day BOD and dissolved oxygen (mg O₂/L)- Suspended_mgL — suspended solids (mg/L)- NO3_mgL, NO2_mgL, SO4_mgL, PO4_mgL, Cl_mgL — nitrate, nitrite, sulfate, phosphate, chloride (mg/L)- River_km — river chainage (km)

Data sourced from the Ukrainian Hydrometeorological Centre and the Water Agency of Ukraine. Basic quality control included unit harmonisation and range checks; the original structure is preserved for reproducibility. Note: Missing values (e.g., ~20% for PO4 and SO4) are due to measurement limitations; high NH4_N values (up to 109.6 mg/L at 855 km) reflect peak pollution near the Bortnychi Aeration Station.

Intended use: urban water-quality assessment (e.g., WPI/TCI calculations), trend analysis across an urban gradient. Accompanying file sites_metadata.csv provides station metadata.

License: CC BY 4.0.How to cite: Zhukova, O., Starzhynskyi P., Korduba I., Negoda N., and Prokopenko I., 2025. Dnipro River (Kyiv, Ukraine) 2024 – hydrochemical dataset (urban gradient). Version 1.0. Dataset. Zenodo. DOI: 10.5281/zenodo.16894251.Contact: Pavlo Starzhynskyi (pavlostarzhynskyi@gmail.com, ORCID: 0009-0004-4495-9309).
DOI: 10.5281/zenodo.16927969
title: Physiological and Facial Expression Data of Pantaneiro Horses During Social Enrichment and Short-Term Stress

description: This dataset contains physiological and facial expression data collected from eleven Pantaneiro horses during restraint in stock under two different social conditions: Social Noncontact Environmental Enrichment (SNE) and Social Isolation (SI). The study aimed to evaluate the effectiveness of SNE in promoting social buffering and to characterize the horses’ emotional states using combined physiological and behavioral indicators.

A crossover design was implemented with two treatments: SNE (presence of a conspecific without physical contact) and SI (absence of a conspecific), each lasting 24 minutes.

The dataset includes:

Physiological parameters: heart rate, heart rate variability (HRV), respiratory rate, ocular temperature (infrared thermography), and auricular temperature (infrared thermometer).

Facial expression data: coded using the Equine Facial Action Coding System (EquiFACS), including Action Units (AUs) and Action Descriptors (ADs/EADs) such as nostril dilator (AD38), inner brow raiser (AU101), upper eyelid raiser (AU5), eye white increase (AD1), ears forward (EAD101), and ears back (EAD104).

Time series and summary values were recorded throughout the restraint period for both treatments.

Data are organized in CSV and/or Excel format, with comprehensive variable definitions and metadata provided. This dataset can support further research in equine behavioral physiology, environmental enrichment strategies, and machine learning applications related to emotional state recognition in horses.

All procedures were approved by the relevant animal ethics committee.
DOI: 10.5281/zenodo.16927970
title: Physiological and Facial Expression Data of Pantaneiro Horses During Social Enrichment and Short-Term Stress

description: This dataset contains physiological and facial expression data collected from eleven Pantaneiro horses during restraint in stock under two different social conditions: Social Noncontact Environmental Enrichment (SNE) and Social Isolation (SI). The study aimed to evaluate the effectiveness of SNE in promoting social buffering and to characterize the horses’ emotional states using combined physiological and behavioral indicators.

A crossover design was implemented with two treatments: SNE (presence of a conspecific without physical contact) and SI (absence of a conspecific), each lasting 24 minutes.

The dataset includes:

Physiological parameters: heart rate, heart rate variability (HRV), respiratory rate, ocular temperature (infrared thermography), and auricular temperature (infrared thermometer).

Facial expression data: coded using the Equine Facial Action Coding System (EquiFACS), including Action Units (AUs) and Action Descriptors (ADs/EADs) such as nostril dilator (AD38), inner brow raiser (AU101), upper eyelid raiser (AU5), eye white increase (AD1), ears forward (EAD101), and ears back (EAD104).

Time series and summary values were recorded throughout the restraint period for both treatments.

Data are organized in CSV and/or Excel format, with comprehensive variable definitions and metadata provided. This dataset can support further research in equine behavioral physiology, environmental enrichment strategies, and machine learning applications related to emotional state recognition in horses.

All procedures were approved by the relevant animal ethics committee.
DOI: 10.15468/dl.4vnps2
title: Occurrence Download

description: A dataset containing 688890 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations)",
 "Geometry POLYGON((-58.3631 -34.59669,-58.36094 -34.60344,-58.35913 -34.60928,-58.3571 -34.61554,-58.35682 -34.61634,-58.35679 -34.61646,-58.35672 -34.6169,-58.35665 -34.61704,-58.35656 -34.61737,-58.35612 -34.61793,-58.35582 -34.61864,-58.35561 -34.61862,-58.35475 -34.61837,-58.35424 -34.61829,-58.35306 -34.61802,-58.3522 -34.61779,-58.3498 -34.61753,-58.34942 -34.61757,-58.34705 -34.61737,-58.34643 -34.61737,-58.34546 -34.61758,-58.3446 -34.61774,-58.34349 -34.61755,-58.34242 -34.61718,-58.34138 -34.61725,-58.34036 -34.61679,-58.33977 -34.61624,-58.3397 -34.6158,-58.33972 -34.61532,-58.33975 -34.61507,-58.33986 -34.61431,-58.34007 -34.61313,-58.34047 -34.61168,-58.34083 -34.61059,-58.34163 -34.60967,-58.34269 -34.6089,-58.3436 -34.60817,-58.34418 -34.6078,-58.34482 -34.60744,-58.34531 -34.60717,-58.34568 -34.60692,-58.34592 -34.60645,-58.34601 -34.60618,-58.34605 -34.60608,-58.34609 -34.60571,-58.34602 -34.60559,-58.34602 -34.60552,-58.34604 -34.60547,-58.34608 -34.60534,-58.34609 -34.60512,-58.34615 -34.60486,-58.34634 -34.60456,-58.34646 -34.60378,-58.34659 -34.6034,-58.34667 -34.60324,-58.3467 -34.60314,-58.34671 -34.60253,-58.34677 -34.60239,-58.34685 -34.60228,-58.34694 -34.60208,-58.34727 -34.60168,-58.34751 -34.60157,-58.34783 -34.6014,-58.3479 -34.60132,-58.34798 -34.60132,-58.34805 -34.60121,-58.34813 -34.6011,-58.34829 -34.601,-58.34851 -34.60091,-58.34869 -34.60085,-58.34884 -34.60074,-58.34903 -34.60057,-58.34931 -34.60035,-58.34961 -34.60015,-58.34983 -34.59999,-58.35013 -34.59973,-58.35054 -34.59931,-58.35075 -34.59913,-58.35103 -34.59912,-58.35121 -34.59902,-58.35176 -34.59864,-58.35202 -34.59836,-58.35272 -34.59773,-58.35305 -34.59714,-58.35336 -34.59685,-58.35429 -34.59627,-58.3549 -34.59597,-58.35531 -34.59562,-58.35616 -34.59533,-58.35631 -34.59531,-58.3571 -34.59483,-58.3587 -34.5949,-58.36018 -34.59494,-58.36031 -34.59501,-58.36039 -34.59515,-58.36039 -34.59553,-58.36182 -34.59625,-58.36241 -34.59645,-58.3631 -34.59669))",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 688890 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032350-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ca3mqa
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is New South Wales Plant Pathology and Mycology Herbarium AVH data",
 "Country is Croatia"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032393-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xcjpk9
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Parodon caliensis)",
 "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 23 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032392-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p5srdc
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ondatra zibethicus",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032395-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qzhj5g
title: Occurrence Download

description: A dataset containing 210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Macrophyllum macrophyllum"
 ]
}

 The dataset includes 210 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032397-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k3zwgf
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Antarctica",
 "DatasetKey is KRILLBASE_antarctickrillssalpsdensity_1926_2016",
 "OccurrenceStatus is Present",
 "Year 2003-2025"
 ]
}

 The dataset includes 53 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032394-250811113504898/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.29967943
title: Carpocalypse now: a morphological assessment of native fish response to invasive carp presence in the Kansas River- Data and R Files

description: <b>Introduction: </b>Intraspecific morphological variation in fish provides valuable insights into natural history, ecological adaptation, and responses to environmental variables, including invasive species. This study explores how both external (e.g., body shape) and internal morphological traits (e.g., gill raker count) change in native fish species in response to abiotic and biotic factors, with a particular focus on the impact of invasive bigheaded carp (Hypophthalmichthys nobilis and H. molitrix) in the Kansas River. Abiotic drivers such as temperature, water velocity, and ecosystem size were reviewed for their broad influences on morphology, whereas biotic factors like predation, intraspecific and interspecific competition, and invasive species were shown to trigger more nuanced and species-specific changes. Therefore, in this study we assessed the change in external and internal morphology of four native species across three reaches with varying invasive carp densities.<b>Results</b>: Variation in our four native species in both external and internal morphology showed significant differences between population in difference reaches indirectly indicating that invasive species density and other abiotic factors could be driving differences in our native populations<b>.</b><b>Conclusions: </b>Differences in morphological variation between species population across three reaches provides a link to explore functional relationships between taxa and abiotic/biotic factors within an environment having implications for understanding ecosystem attributes, and invasive species effects on morphology.
DOI: 10.6084/m9.figshare.29967943.v1
title: Carpocalypse now: a morphological assessment of native fish response to invasive carp presence in the Kansas River- Data and R Files

description: <b>Introduction: </b>Intraspecific morphological variation in fish provides valuable insights into natural history, ecological adaptation, and responses to environmental variables, including invasive species. This study explores how both external (e.g., body shape) and internal morphological traits (e.g., gill raker count) change in native fish species in response to abiotic and biotic factors, with a particular focus on the impact of invasive bigheaded carp (Hypophthalmichthys nobilis and H. molitrix) in the Kansas River. Abiotic drivers such as temperature, water velocity, and ecosystem size were reviewed for their broad influences on morphology, whereas biotic factors like predation, intraspecific and interspecific competition, and invasive species were shown to trigger more nuanced and species-specific changes. Therefore, in this study we assessed the change in external and internal morphology of four native species across three reaches with varying invasive carp densities.<b>Results</b>: Variation in our four native species in both external and internal morphology showed significant differences between population in difference reaches indirectly indicating that invasive species density and other abiotic factors could be driving differences in our native populations<b>.</b><b>Conclusions: </b>Differences in morphological variation between species population across three reaches provides a link to explore functional relationships between taxa and abiotic/biotic factors within an environment having implications for understanding ecosystem attributes, and invasive species effects on morphology.
DOI: 10.15468/dl.r8xjgu
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is CAS Botany (BOT)",
 "Country is Croatia"
 ]
}

 The dataset includes 46 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032399-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dmy6dt
title: Occurrence Download

description: A dataset containing 9269 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Wasmannia auropunctata",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 9269 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032398-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3jcwy3
title: Occurrence Download

description: A dataset containing 33557219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 33557219 records from 4846 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012896-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.53y3g7
title: Occurrence Download

description: A dataset containing 232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "Geometry POLYGON((-106.35676 -22.55635,-28.64324 -22.55635,-28.64324 8.55635,-106.35676 8.55635,-106.35676 -22.55635))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (90fd6680-349f-11d8-aa2d-b8a03c50a862, 396d5f30-dea9-11db-8ab4-b8a03c50a862, 8e1a97a0-3ca8-11d9-8439-b8a03c50a862, 061b4f20-f241-11da-a328-b8a03c50a862, 7b8aff00-a9f8-11d8-944b-b8a03c50a862, ae447c50-b8a8-11d8-92a4-b8a03c50a862, bc092ff0-02e4-11dc-991f-b8a03c50a862)",
 "TaxonKey is Renealmia breviscapa (Poepp. & Endl.) Poepp. & Endl."
 ]
}

 The dataset includes 232 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006147-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4jwaw5
title: Occurrence Download

description: A dataset containing 12331 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Vanuatu",
 "Depth is greater than or equal to 200.0m"
 ]
}

 The dataset includes 12331 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006148-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y464tc
title: Occurrence Download

description: A dataset containing 1492 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eleusine indica (L.) Gaertn.",
 "Country is Korea, Republic of"
 ]
}

 The dataset includes 1492 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008145-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kytwdz
title: Occurrence Download

description: A dataset containing 1084 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "Geometry POLYGON((126.21465 32.30839,136.44975 40.09736,136.28882 44.89305,125.79624 46.34141,119.87404 40.32266,126.21465 32.30839))",
 "OccurrenceStatus is Present",
 "TaxonKey is Carpinus cordata Blume",
 "Year 1959-2025"
 ]
}

 The dataset includes 1084 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002483-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tas6ra
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((98.05351 18.99215,130.93235 18.99215,130.93235 37.98381,98.05351 37.98381,98.05351 18.99215))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Scutellaria tuberifera"
 ]
}

 The dataset includes 41 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028913-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15183843
title: Research data supporting "A placebo approach to evaluate methods of counterfactual estimation for REDD+"

description: This dataset is the research data supporting the manuscript "A placebo approach to evaluate methods of counterfactual estimation for REDD+". The study evaluates different methods of counterfactual estimation for REDD+ projects using 27 placebo projects, which are randomly chosen areas facing similar deforestation pressures to actual projects but are not yet formally protected or subjected to any REDD+ activities.

The dataset consists of polygon shapefiles (*.geojson, compressed in a zip file) of all 27 placebo projects, as well as parquet files (*.parquet) of sampled pixels in the project area and in their matched pixels for each placebo project. Each row represents a sampled pixel, and each column containing the k_luc prefix indicates the JRC-TMF land use class [1] of the pixel in a given year. The proportional change of pixels classified as undisturbed forests over a given time interval is used to calculate annual compound deforestation rates.

There are three parquet files for each project: [project ID]_regional.parquet contain sampled pixels in the surrounding landscape of each project, which are used to calculate ex ante forecasts using the regional method; [project ID]_expost_matches.parquet contain sampled pixels in the project area, which are used to calculate ex ante forecasts using the project method, as well as the ex post estimates; [project ID]_matches.parquet contain matched pixels of the sampled project pixels, which are used to calculate ex ante forecasts using the time-shifted matching method. This gives 27 x 3 = 81 files in total.

The matching procedures were conducted using the Tropical Moist Forest Accreditation Methodology Implementation code [2], which implements the Canopy PACT 2.0 methodology [3][4].

References:

[1] Vancutsem, C et al. (2021). Long-term (1990–2019) monitoring of forest cover changes in the humid tropics. Science advances 7.10 (2021): eabe1603.

[2] Dales M, Ferris P, Message R, Holland J, and Williams A (2023). GitHub Repository: Tropical Moist Forest Accreditation Methodology Implementation, https://github.com/quantifyearth/tmf-implementation. commit:7f15246

[3] Balmford, A et al. (2023). PACT Tropical Moist Forest Accreditation Methodology v2.0. Cambridge Open Engage, https://www.cambridge.org/engage/coe/article-details/657c8b819138d23161bb055f.

[4] Swinfield, T and Balmford, A (2023). Cambridge Carbon Impact: Evaluating carbon credit claims and co-benefits. Cambridge Open Engage, https://www.cambridge.org/engage/coe/article-details/6409c345cc600523a3e778ae.