cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.uuen4a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Speleomantes sarrabusensis Lanza, Leo, Forti, Cimmaruta, Caputo & Nascetti, 2001",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012835-250310093411724/datasets/export for details.
DOI: 10.15468/dl.jvqa6a
title: Occurrence Download

description: A dataset containing 1752 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ambrosia bidentata Michx."
 ]
}

 The dataset includes 1752 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012834-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15038879
title: Technical, Environmental, and Economic Properties of Several Wood Species from Forests of Western Europe

description: This database has been developed to provide technical, environmental and economic information on various species, enabling an in-depth analysis of their suitability for different applications.

The data has been collected from specialist literature. All sources are referenced and available in the detailed data pages. 

The ‘README.txt’ file explains the contents and structure of the database in more detail.

‘.xlsx’ files are available to make it easier to use the database. For greater accessibility, ‘.csv’ files are also available.
DOI: 10.5281/zenodo.15038880
title: Technical, Environmental, and Economic Properties of Several Wood Species from Forests of Western Europe

description: This database has been developed to provide technical, environmental and economic information on various species, enabling an in-depth analysis of their suitability for different applications.

The data has been collected from specialist literature. All sources are referenced and available in the detailed data pages. 

The ‘README.txt’ file explains the contents and structure of the database in more detail.

‘.xlsx’ files are available to make it easier to use the database. For greater accessibility, ‘.csv’ files are also available.
DOI: 10.15468/dl.3ybmyr
title: Occurrence Download

description: A dataset containing 1557 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chymomyza amoena (Loew, 1862))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1557 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012837-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/aa68c8a6-2d9c-48da-9169-f9d215d4691c
title: Supplementary material underlying the publication: From prediction to engagement: Using technical models to enhance consultation in water management

description: This supplementary material further describes the methods, data, and results of a water quality modeling project in the Brantas River basin, Indonesia. The model combines a rainfall-runoff model and a pollution fate and transport model to predict resultant water quality levels (in terms of biochemical oxygen demand) along segments of the river, based on estimation of pollution source contributions from crop agriculture, livestock, and domestic wastewater across the river basin. Data used in the model includes historical rainfall and flow data, pollution source data (estimations of BOD contributions based on numbers of cattle, crops, people, etc. and coverage of wastewater management technologies), and observed water quality data.
DOI: 10.4121/aa68c8a6-2d9c-48da-9169-f9d215d4691c.v1
title: Supplementary material underlying the publication: From prediction to engagement: Using technical models to enhance consultation in water management

description: This supplementary material further describes the methods, data, and results of a water quality modeling project in the Brantas River basin, Indonesia. The model combines a rainfall-runoff model and a pollution fate and transport model to predict resultant water quality levels (in terms of biochemical oxygen demand) along segments of the river, based on estimation of pollution source contributions from crop agriculture, livestock, and domestic wastewater across the river basin. Data used in the model includes historical rainfall and flow data, pollution source data (estimations of BOD contributions based on numbers of cattle, crops, people, etc. and coverage of wastewater management technologies), and observed water quality data.
DOI: 10.5281/zenodo.15039666
title: The dataset used in the research "Author Bibliographic Coupling Analysis as an additional criterion for Author Name Disambiguation: initial approaches"

description: The dataset used in the research "Author Bibliographic Coupling Analysis as an additional criterion for Author Name Disambiguation: initial approaches" submitted to Scientometrics (Springer Nature).

Tab 1 - Appendix 1 - ABCA: Bibliographic coupling between all the names of authors analyzed

Tab 2 - Confusion matrix and metrics: Confusion matrix and calculation of validation metrics - Precision (or Positive Predictive Value), Negative Predictive Value, Recall (Sensitivity), F1-Score and Accuracy.

Tab 3 - Authors_Metadata: Metadata fields included: Institution, Department, Location, Identifiers, Top Journals, Published Names, Organizations, and Subject Categories

Tab 4 - Cited_Authors - Authors cited by each of the profiles analyzed
DOI: 10.5281/zenodo.15039667
title: The dataset used in the research "Author Bibliographic Coupling Analysis as an additional criterion for Author Name Disambiguation: initial approaches"

description: The dataset used in the research "Author Bibliographic Coupling Analysis as an additional criterion for Author Name Disambiguation: initial approaches" submitted to Scientometrics (Springer Nature).

Tab 1 - Appendix 1 - ABCA: Bibliographic coupling between all the names of authors analyzed

Tab 2 - Confusion matrix and metrics: Confusion matrix and calculation of validation metrics - Precision (or Positive Predictive Value), Negative Predictive Value, Recall (Sensitivity), F1-Score and Accuracy.

Tab 3 - Authors_Metadata: Metadata fields included: Institution, Department, Location, Identifiers, Top Journals, Published Names, Organizations, and Subject Categories

Tab 4 - Cited_Authors - Authors cited by each of the profiles analyzed
DOI: 10.5281/zenodo.14872446
title: Balancing Bats and Agriculture: Investigating the Effects of Agricultural Management Practices on Bat Species Diversity in Mountain Ecosystems - Supporting Data

description: This dataset was collected from 46 sites and includes acoustic bat data (number of bat passes) along with variables related to agricultural management and landscape features, which were used in the statistical analyses presented in the associated journal article. We removed the site number 45 as it was identified as an outlier through the Grubbs test using the R package ‘outliers’. For explanation on the calculaton of the data and variables, please refer to the associated journal article - Paniccia et al. 2025. Balancing Bats and Agriculture: Investigating the Effects of Agricultural Management Practices on Bat Species Diversity in Mountain Ecosystems. Agriculture, Ecosystems & Environment

A legend explaining the data can be found in the file readme_legend.txt.

If you are interested in using this dataset for a research study or project, please contact Chiara Paniccia
DOI: 10.5281/zenodo.14872447
title: Balancing Bats and Agriculture: Investigating the Effects of Agricultural Management Practices on Bat Species Diversity in Mountain Ecosystems - Supporting Data

description: This dataset was collected from 46 sites and includes acoustic bat data (number of bat passes) along with variables related to agricultural management and landscape features, which were used in the statistical analyses presented in the associated journal article. We removed the site number 45 as it was identified as an outlier through the Grubbs test using the R package ‘outliers’. For explanation on the calculaton of the data and variables, please refer to the associated journal article - Paniccia et al. 2025. Balancing Bats and Agriculture: Investigating the Effects of Agricultural Management Practices on Bat Species Diversity in Mountain Ecosystems. Agriculture, Ecosystems & Environment

A legend explaining the data can be found in the file readme_legend.txt.

If you are interested in using this dataset for a research study or project, please contact Chiara Paniccia
DOI: 10.34808/m7kr-9q80
title: Key results from the FE analysis of the single lap joint model

description: This dataset contains key results from the FE analysis of the single lap joint model, considering selected joint geometries.
The studies conducted as part of the "Miniatura 7" scientific grant focused on analyzing failure of a single-lap adhesively bonded joint of thin metal sheets. The research includes both laboratory and numerical investigations aimed at developing an advanced computational model for detailed tracking of the failure process.
DOI: 10.5281/zenodo.11060088
title: COFACTOR Drammen dataset

description: This data set that contains 4 years (Jan. 2018- Dec. 2021/Mar. 2022) of hourly measurements of energy and climate data from 45 public buildings located in Drammen, Norway. The buildings are schools (16), kindergartens (20), nursing homes (7) and offices (2). For each building, the data set contains contextual data about the buildings including their floor area, construction year, energy label, information about their heating system and ventilation system in addition to time series data of energy use and weather data. For some of the buildings, the energy measurements only contain measurements of hourly imported electricity, while the time series data for other buildings have submeters for different energy services and technologies. Researchers, energy analysts, building owners and policy makers can benefit from the dataset for e.g. hourly load disaggregation, forecasting of energy loads and flexibility, grid planning and modelling activities.

A data descriptor is published here: https://www.nature.com/articles/s41597-025-04708-3Citation: Lien, S.K., Walnum, H.T. & Sørensen, Å.L. COFACTOR Drammen dataset - 4 years of hourly energy use data from 45 public buildings in Drammen, Norway. Sci Data 12, 393 (2025). https://doi.org/10.1038/s41597-025-04708-3
DOI: 10.5281/zenodo.11060089
title: COFACTOR Drammen dataset

description: This data set that contains 4 years (Jan. 2018- Dec. 2021/Mar. 2022) of hourly measurements of energy and climate data from 45 public buildings located in Drammen, Norway. The buildings are schools (16), kindergartens (20), nursing homes (7) and offices (2). For each building, the data set contains contextual data about the buildings including their floor area, construction year, energy label, information about their heating system and ventilation system in addition to time series data of energy use and weather data. For some of the buildings, the energy measurements only contain measurements of hourly imported electricity, while the time series data for other buildings have submeters for different energy services and technologies. Researchers, energy analysts, building owners and policy makers can benefit from the dataset for e.g. hourly load disaggregation, forecasting of energy loads and flexibility, grid planning and modelling activities.

A data descriptor for this data set is published in https://www.nature.com/articles/s41597-025-04708-3Citation: Lien, S.K., Walnum, H.T. & Sørensen, Å.L. COFACTOR Drammen dataset - 4 years of hourly energy use data from 45 public buildings in Drammen, Norway. Sci Data 12, 393 (2025). https://doi.org/10.1038/s41597-025-04708-3
DOI: 10.5281/zenodo.14709528
title: COFACTOR Drammen dataset

description: A data descriptor for this data set is under consideration in Scientific Data. 

 

This data set that contains 4 years (Jan. 2018- Dec. 2021/Mar. 2022) of hourly measurements of energy and climate data from 45 public buildings located in Drammen, Norway. The buildings are schools (16), kindergartens (20), nursing homes (7) and offices (2). For each building, the data set contains meta data about the buildings, including their floor area, construction year, energy label, information about their heating system and ventilation system in addition to time series data of energy use and climate data. For some of the buildings the energy measurements only contain measurements of hourly imported electricity, while the time series data for other buildings have submeters for different energy services and technologies. Researchers, energy analysts, building owners and policy makers can benefit from the dataset for e.g. hourly load disaggregation, forecasting of energy loads and flexibility, grid planning and modelling activities.
DOI: 10.5281/zenodo.14752397
title: COFACTOR Drammen dataset

description: This data set that contains 4 years (Jan. 2018- Dec. 2021/Mar. 2022) of hourly measurements of energy and climate data from 45 public buildings located in Drammen, Norway. The buildings are schools (16), kindergartens (20), nursing homes (7) and offices (2). For each building, the data set contains contextual data about the buildings including their floor area, construction year, energy label, information about their heating system and ventilation system in addition to time series data of energy use and weather data. For some of the buildings, the energy measurements only contain measurements of hourly imported electricity, while the time series data for other buildings have submeters for different energy services and technologies. Researchers, energy analysts, building owners and policy makers can benefit from the dataset for e.g. hourly load disaggregation, forecasting of energy loads and flexibility, grid planning and modelling activities.

A data descriptor is published here: https://www.nature.com/articles/s41597-025-04708-3Citation: Lien, S.K., Walnum, H.T. & Sørensen, Å.L. COFACTOR Drammen dataset - 4 years of hourly energy use data from 45 public buildings in Drammen, Norway. Sci Data 12, 393 (2025). https://doi.org/10.1038/s41597-025-04708-3
DOI: 10.6084/m9.figshare.27002980
title: Results and R-code underlying: Multiple threshold-selection methods are needed to binarise species distribution model predictions

description: Model code and results calculated with this model code as published in "Multiple threshold-selection methods are needed to binarise species distribution model predictions".
DOI: 10.15468/dl.merm36
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bruchophagus gibbus (Boheman, 1836))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012838-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dwecmz
title: Occurrence Download

description: A dataset containing 297 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-48.96744 -25.92919,-47.95919 -25.92919,-47.95857 -25.55179,-47.95919 -25.03921,-48.96744 -25.03921,-48.96744 -25.92919))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 297 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012839-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8hq9vc
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plecotus gaisleri Benda, Kiefer, Hanak & Veith, 2004",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012840-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.be67m3
title: Occurrence Download

description: A dataset containing 6728 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Thamnophilus ambiguus Swainson, 1825",
 "Year 1000-2024"
 ]
}

 The dataset includes 6728 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012841-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34808/8hka-f425
title: Numerical and experimental generated data during project https://doi.org/10.1109/ACCESS.2024.3407978

description: The dataset was generated using a procedure for a fast globalized optimization of passive microwave components. It combines a machine learning procedure, specifically, an iterative construction and refinement of fast surrogates (with infill criterion being a minimization of the predictor-yielded objective improvement) with a response feature technology, where the metamodel targets suitably appointed characteristic points of the circuit outputs. Identification of the infill points is executed using a particle swarm optimization algorithm. Numerical experiments carried out using two microstrip circuits demonstrate the capability for a global search of the proposed algorithm, and its superior performance over direct nature-inspired-based optimization and surrogate-assisted search at the level of complete circuit characteristics.
DOI: 10.15468/dl.p9m349
title: Occurrence Download

description: A dataset containing 9107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Sweden",
 "OccurrenceStatus is Present",
 "PublishingOrg is b8323864-602a-4a7d-9127-bb903054e97d",
 "TaxonKey is Alces alces (Linnaeus, 1758)",
 "Year 2020-2025"
 ]
}

 The dataset includes 9107 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012842-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34808/30bk-3q88
title: FEM model of a single lap joint assembled in ABAQUS (2025) software generated as input files

description: This dataset consists of a FEM model of a single lap joint assembled in ABAQUS (2025) software generated as input files. Selected joint geometries are considered.
The studies conducted as part of the "Miniatura 7" scientific grant focused on analyzing failure of a single-lap adhesively bonded joint of thin metal sheets. The research includes both laboratory and numerical investigations aimed at developing an advanced computational model for detailed tracking of the failure process.
DOI: 10.15468/dl.te7r9f
title: Occurrence Download

description: A dataset containing 476 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhagoletis cingulata (Loew, 1862))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 476 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012843-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zs2w85
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pectinophora gossypiella (Saunders, 1844))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012846-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.663p9m
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spermophilus suslicus (Güldenstaedt, 1770)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012847-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ye2bv4
title: Occurrence Download

description: A dataset containing 184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dermestes sardous Küster, 1846",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 184 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012848-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qarvcw
title: Occurrence Download

description: A dataset containing 82412 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Brazil, Argentina, Paraguay)",
 "TaxonKey is Thamnophilus caerulescens Vieillot, 1816",
 "Year 1000-2024"
 ]
}

 The dataset includes 82412 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012803-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6rgyh6
title: Occurrence Download

description: A dataset containing 583 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Colchicum trigynum (Steven ex Adams) Stearn"
 ]
}

 The dataset includes 583 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012849-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9jet4e
title: Occurrence Download

description: A dataset containing 129 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amphiareus obscuriceps (Poppius, 1909))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 129 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012850-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.