cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.tu5kx6
title: Occurrence Download

description: A dataset containing 14223 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Uzbekistan",
 "OccurrenceStatus is Present",
 "TaxonKey is Insecta"
 ]
}

 The dataset includes 14223 records from 206 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021958-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/5kd-y04-p1p
title: Bulimina aculeata d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.mxy58z
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acalypha wilkesiana",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 81 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080621-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15330563
title: Machine Learning-driven Optimization of a Sensor Network for Accurate Pollutant Source Identification
DOI: 10.5281/zenodo.15330564
title: Machine Learning-driven Optimization of a Sensor Network for Accurate Pollutant Source Identification
DOI: 10.15482/usda.adc/26517244
title: Data from: Observed changes in agroclimate metrics relevant for specialty crop production in California

description: This Data folder contains the MATLAB code, final product, tables used in Parker, L.E.; Zhang, N.; Abatzoglou, J.T.; Ostoja, S.M.; Pathak, T.B. Observed Changes in Agroclimate Metrics Relevant for Specialty Crop Production in California. <i>Agronomy </i><b>2022</b>, 1<i>2</i>, 205. https://doi.org/10.3390/agronomy12010205.<br><b>Data Source</b>: The primary data source for this study was the GridMET dataset, which provides high-resolution meteorological data across the contiguous United States.<b>Analytical Tools</b>: We employed MATLAB for all data processing and analysis, ensuring rigorous computational accuracy. The specific scripts and methodologies used are included within the dataset to facilitate replication.<b>Spatial Analysis</b>: Geographic Information Systems (GIS) were utilized to overlay crop cover data with climate metrics, allowing for a nuanced analysis of regional impacts. This includes shapefiles for California’s state and county boundaries, as well as specific agricultural regions.<b>Agroclimatic Metric Calculation</b>: Metrics such as growing degree days, frost days, and reference evapotranspiration were computed to assess climate trends and their agricultural impacts.<b>Trend Analysis</b>: We applied statistical techniques to identify significant changes and trends in climate metrics over the 40-year study period.The collection and use of climatological data from the GridMET dataset comply with public data use agreements. No personally identifiable information (PII) or restricted environmental data were used in this study.<br>This dataset encompasses a detailed analysis of agroclimate metrics relevant to specialty crop production in California over the period from 1981 to 2020. Using the GridMET meteorological dataset, we calculated 12 distinct agroclimatic metrics that are crucial for understanding the impact of climate variability on agricultural outputs.This dataset is intended for researchers and policymakers interested in agricultural planning and climate adaptation strategies. It provides a valuable resource for developing sustainable agricultural practices in response to changing climatic conditions in California.
DOI: 10.15482/usda.adc/26517244.v1
title: Data from: Observed changes in agroclimate metrics relevant for specialty crop production in California

description: This Data folder contains the MATLAB code, final product, tables used in Parker, L.E.; Zhang, N.; Abatzoglou, J.T.; Ostoja, S.M.; Pathak, T.B. Observed Changes in Agroclimate Metrics Relevant for Specialty Crop Production in California. <i>Agronomy </i><b>2022</b>, 1<i>2</i>, 205. https://doi.org/10.3390/agronomy12010205.<br><b>Data Source</b>: The primary data source for this study was the GridMET dataset, which provides high-resolution meteorological data across the contiguous United States.<b>Analytical Tools</b>: We employed MATLAB for all data processing and analysis, ensuring rigorous computational accuracy. The specific scripts and methodologies used are included within the dataset to facilitate replication.<b>Spatial Analysis</b>: Geographic Information Systems (GIS) were utilized to overlay crop cover data with climate metrics, allowing for a nuanced analysis of regional impacts. This includes shapefiles for California’s state and county boundaries, as well as specific agricultural regions.<b>Agroclimatic Metric Calculation</b>: Metrics such as growing degree days, frost days, and reference evapotranspiration were computed to assess climate trends and their agricultural impacts.<b>Trend Analysis</b>: We applied statistical techniques to identify significant changes and trends in climate metrics over the 40-year study period.The collection and use of climatological data from the GridMET dataset comply with public data use agreements. No personally identifiable information (PII) or restricted environmental data were used in this study.<br>This dataset encompasses a detailed analysis of agroclimate metrics relevant to specialty crop production in California over the period from 1981 to 2020. Using the GridMET meteorological dataset, we calculated 12 distinct agroclimatic metrics that are crucial for understanding the impact of climate variability on agricultural outputs.This dataset is intended for researchers and policymakers interested in agricultural planning and climate adaptation strategies. It provides a valuable resource for developing sustainable agricultural practices in response to changing climatic conditions in California.
DOI: 10.15468/dl.akv4qq
title: Occurrence Download

description: A dataset containing 3458271 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Plantae)",
 "Country is New Zealand",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 0"
 ]
}

 The dataset includes 3458271 records from 394 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012078-250426092105405/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.28919657
title: MC_data.tar.gz

description: Monte Carlo Data for the ensemble average of $\Delta$ and the probability distribution of $\Delta$.
DOI: 10.15468/dl.zv2by6
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 (Lithobates berlandieri)",
 "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/0018560-250802193616735/datasets/export for details.
DOI: 10.15468/dl.jgq45p
title: Occurrence Download

description: A dataset containing 241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lebiasina bimaculata)",
 "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 241 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018559-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vpea8g
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 (Lithobates berlandieri)",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018561-250802193616735/datasets/export for details.
DOI: 10.15468/dl.mgqdtx
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 (Lithobates berlandieri)",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018562-250802193616735/datasets/export for details.
DOI: 10.15468/dl.hfvu9c
title: Occurrence Download

description: A dataset containing 527 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Passer castanopterus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 527 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018565-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jrt8nv
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crotalaria retusa",
 "Country is Antigua and Barbuda",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018564-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15387100
title: Ground-Mounted Photovoltaic Systems in Germany

description: This dataset is related to the paper "Creating a Dataset of Spatial Parameters of Ground-Mounted Photovoltaic Systems Utilising Orthophotos and the Segment Anything Model":

The rapid expansion of renewable energy sources poses significant challenges in reconciling energy development with competing interests. This underscores the necessity for precise spatial data to facilitate effective balancing, management, or evaluation of compliance with regulatory frameworks. This paper presents a zero-shot approach for extracting parameters of ground-mounted photovoltaic systems in Germany based on digital orthophotos. This allows for the accurate identification and delineation of essential spatial parameters, including the ground coverage ratio of photovoltaic modules, the row spacing between module rows, and their exact orientation. The results of this study are twofold. First, the developed technical pipeline successfully achieves high-quality segmentation of photovoltaic module rows, with over 71 % of the results demonstrating satisfactory to flawless segmentation. Second, the resulting dataset is made available for further analysis and can serve as a starting point for the development of additional AI models aimed at monitoring the dynamics of photovoltaic systems. This methodology not only supports compliance assessment but also enhances decision-making processes at the intersection of renewable energy development and competing interests, such as nature conservation.

In order to analyse the research questions posed in the journal article, three geospatial data products for ground-mounted photovoltaic systems (GMPV) in Germany have been created:





photovoltaic system footprints, including the GMPV system footprints as defined by Manske, 2025




photovoltaic module rows, comprising the photovoltaic module rows derived from the DOP




photovoltaic parks, representing the park polygons derived from OSM and the corresponding metadata per park, such as GCR or evaluation class



More details can be found in the provided release_notes.pdf and the linked ISPRS publication.
DOI: 10.15468/dl.jba38d
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crotalaria retusa",
 "Country is Bahamas",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018566-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ft8bjn
title: Occurrence Download

description: A dataset containing 3714 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Coelacanthi"
 ]
}

 The dataset includes 3714 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018568-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5hm7md
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018567-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7jhy5s
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Steindachnerina fasciata)",
 "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 78 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018570-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16103058
title: Dataset for Reviewing Research efforts and gaps in the assessment of forest system resilience

description: This dataset was developed as part of a scoping review aimed at investigating how the Seven Principles of Resilience (7PsR) have been applied in the assessment of forest resilience across engineering, ecological, and social-ecological resilience concepts. The seven principles include: (1) maintain diversity and redundancy, (2) manage connectivity, (3) manage slow variables and feedbacks, (4) foster complex adaptive systems thinking, (5) encourage learning, (6) broaden participation, and (7) promote polycentric governance. Following the PRISMA-ScR guidelines, a systematic search was conducted in the Web of Science database using keyword combinations related to resilience, forests, and ecosystem services. The initial records were screened through a structured multi-step process that included title, abstract, and full-text review. Studies were included based on their reference to one or more of the 7PsR principles, associated quantifiable criteria, resilience concepts, and evaluation methods. This dataset provides a transparent foundation for understanding how resilience principles are conceptualised and operationalised in forest-related research.
DOI: 10.5281/zenodo.16103059
title: Dataset for Reviewing Research efforts and gaps in the assessment of forest system resilience

description: This dataset was developed as part of a scoping review aimed at investigating how the Seven Principles of Resilience (7PsR) have been applied in the assessment of forest resilience across engineering, ecological, and social-ecological resilience concepts. The seven principles include: (1) maintain diversity and redundancy, (2) manage connectivity, (3) manage slow variables and feedbacks, (4) foster complex adaptive systems thinking, (5) encourage learning, (6) broaden participation, and (7) promote polycentric governance. Following the PRISMA-ScR guidelines, a systematic search was conducted in the Web of Science database using keyword combinations related to resilience, forests, and ecosystem services. The initial records were screened through a structured multi-step process that included title, abstract, and full-text review. Studies were included based on their reference to one or more of the 7PsR principles, associated quantifiable criteria, resilience concepts, and evaluation methods. This dataset provides a transparent foundation for understanding how resilience principles are conceptualised and operationalised in forest-related research.
DOI: 10.6084/m9.figshare.29834732
title: Potential metal toxicity of some herbal plants used in the treatment of malaria.pdf

description: Unorthodox medical practice involving the use of herbal plants and other biological specimens, though permissible, is growing unabated in many less developed Nations of the world due to poverty and lack of healthcare facilities without regard to the potential threat/ toxicity from the consumption of these alternative medicines. Thirteen (13) herbal plants commonly used for the treatment of malaria in Ondo state, Nigeria were selected for the study and evaluated for their heavy metal content viz: Cadmium, Zinc, Lead and Chromium using Atomic Absorption Spectrophotometer (AAS).The result showed increased cadmium concentration in the range of 0.014-0.077mg/kg with 76.9% of the selected plants having cadmium concentrations above the permissible limit. Zinc being an essential micro nutrient varied in the range of 0.304-1.539 mg/kg with 100% of the plants within the permissible limits for herbal plants. The lead concentration is within the permissible limit for all the selected plants and in the range of 0.141-0.464mg/kg. Chromium being a trace metal and of toxic potential was detected in 38.46% of the selected plants within the permissible limit and in the range of 0.002-0.356mg/kg. Mangifera indica leaves has chromium concentration of 0.180mg/kg but was not detected in the bark which might be due to anthropogenic influences and gaseous exchange in the leaves. The zinc, lead and chromium levels of these herbs were good for consumption, but cadmium level need to be adjusted to prevent kidney failure during consumption.
DOI: 10.6084/m9.figshare.29834732.v1
title: Potential metal toxicity of some herbal plants used in the treatment of malaria.pdf

description: Unorthodox medical practice involving the use of herbal plants and other biological specimens, though permissible, is growing unabated in many less developed Nations of the world due to poverty and lack of healthcare facilities without regard to the potential threat/ toxicity from the consumption of these alternative medicines. Thirteen (13) herbal plants commonly used for the treatment of malaria in Ondo state, Nigeria were selected for the study and evaluated for their heavy metal content viz: Cadmium, Zinc, Lead and Chromium using Atomic Absorption Spectrophotometer (AAS).The result showed increased cadmium concentration in the range of 0.014-0.077mg/kg with 76.9% of the selected plants having cadmium concentrations above the permissible limit. Zinc being an essential micro nutrient varied in the range of 0.304-1.539 mg/kg with 100% of the plants within the permissible limits for herbal plants. The lead concentration is within the permissible limit for all the selected plants and in the range of 0.141-0.464mg/kg. Chromium being a trace metal and of toxic potential was detected in 38.46% of the selected plants within the permissible limit and in the range of 0.002-0.356mg/kg. Mangifera indica leaves has chromium concentration of 0.180mg/kg but was not detected in the bark which might be due to anthropogenic influences and gaseous exchange in the leaves. The zinc, lead and chromium levels of these herbs were good for consumption, but cadmium level need to be adjusted to prevent kidney failure during consumption.
DOI: 10.15468/dl.xb9jma
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 (Trachycephalus typhonius)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018571-250802193616735/datasets/export for details.