cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0047769.10fu
title: SH0047769.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0047770.10fu
title: SH0047770.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0047771.10fu
title: SH0047771.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0047772.10fu
title: SH0047772.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0047773.10fu
title: SH0047773.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.qvt7j7
title: Occurrence Download

description: A dataset containing 499 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aphyocharax dentatus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 499 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075650-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zshktx
title: Occurrence Download

description: A dataset containing 2958 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Euphorbia oblongata Griseb.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 2958 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007964-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14988687
title: Code and data sources for paper: Kubota et al. Precipitation steepness drives global patterns of changes in bird community composition without major phylogenetic signal. Global Ecology and Biogeography (accepted Feb-2025)

description: Code and data sources for paper: Kubota et al. Precipitation steepness drives global patterns of changes in bird community composition without major phylogenetic signal. Global Ecology and Biogeography (accepted Feb-2025). Please read README file.
DOI: 10.5281/zenodo.14988688
title: Code and data sources for paper: Kubota et al. Precipitation steepness drives global patterns of changes in bird community composition without major phylogenetic signal. Global Ecology and Biogeography (accepted Feb-2025)

description: Code and data sources for paper: Kubota et al. Precipitation steepness drives global patterns of changes in bird community composition without major phylogenetic signal. Global Ecology and Biogeography (accepted Feb-2025). Please read README file.
DOI: 10.15468/dl.ygrqxa
title: Occurrence Download

description: A dataset containing 27279 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coenonympha pamphilus (Linnaeus, 1758)",
 "Year is greater than or equal to 1995",
 "Year is less than or equal to 2025",
 "DecimalLongitude is greater than or equal to 6",
 "DecimalLongitude is less than or equal to 13",
 "DecimalLatitude is greater than or equal to 53",
 "DecimalLatitude is less than or equal to 57"
 ]
}

 The dataset includes 27279 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007967-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/fb61f7d2-6d70-4957-912f-e68fac846b56
title: Lists of glacier and complex IDs accompanying the article "Monthly surface elevation data of arctic mountain glaciers"

description: This datasets includes lists of glacier and complex identifiers that are grouped in the accompanied article "Monthly surface elevation data of arctic mountain glaciers".<br>In the article, glaciers of the Greenland Periphery are divided into the groups "North", "West", "Southwest", "Southeast", and "East". Here, lists of the concerned glaciers are provided, referencing the glaciers and complexes by the identifiers issued by the Randolph Glacier Inventory (RGI) version 7.0. View the references for detailed information on the RGI.
DOI: 10.4121/fb61f7d2-6d70-4957-912f-e68fac846b56.v1
title: Lists of glacier and complex IDs accompanying the article "Monthly surface elevation data of arctic mountain glaciers"

description: This datasets includes lists of glacier and complex identifiers that are grouped in the accompanied article "Monthly surface elevation data of arctic mountain glaciers".<br>In the article, glaciers of the Greenland Periphery are divided into the groups "North", "West", "Southwest", "Southeast", and "East". Here, lists of the concerned glaciers are provided, referencing the glaciers and complexes by the identifiers issued by the Randolph Glacier Inventory (RGI) version 7.0. View the references for detailed information on the RGI.
DOI: 10.15468/dl.evqp3t
title: Occurrence Download

description: A dataset containing 12997 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (North America, Europe)",
 "OccurrenceStatus is Present",
 "TaxonKey is Trachemys scripta scripta",
 "Year 2000-2025"
 ]
}

 The dataset includes 12997 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007879-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14988662
title: Ultra Sound Garbage Bin Sensor Reading Records
title: in an entire portugese municipality from 01/01/2021 to 01/04/2024

description: The directory is structured in the following way:





The file "ids.csv" is a one-column table that contains the IDs of all the containers present in the dataset. Use this file as a helper to iterate over the dictionary.




The file "INFO.csv" contains relevant data about the containers, namely "Capacity," "WasteType," "Latitude," and "Longitude."



Then, for each container, there are four files with the following naming convention:



Container_ID_recs_UnCorrected_with_metrics.csv

Container_ID_fill_UnCorrected_with_metrics.csv

Container_ID_recs_Corrected_with_metrics.csv

Container_ID_fill_Corrected_with_metrics.csv


The RAW values extracted from the sensors are in the UnCorrected files. The FILL levels are extracted by the sensors, and DATES (whether from collections or sensor readings) are provided by the management system. The sensor timestamps are automatic, and collection times are manually entered by service providers. The rest of the information consists of calculations made by us for reproducibility. An atempt to correct some data was preform, these are present in the corrected files.

The fill files contain information about the Fill level of the container. Additional columns include the Max and Min monotonic approximations between each collection, along with their mean (middle point) value. The "REC" column is a mask set to true for the first fill value measured after a collection is made. The "Cidx" column is a unique identifier for each fill value between collections, which allows us to use groupby on each event between collections.

The rec files contain information about the Collections made for that container. Additional columns include the End_Pointer, which is the row index for when that collection is made in the corresponding fill file, along with AVG_DIST, which is 100 minus the average difference between the Max and Min approximations until the next collection, and 100 times the Spearman coefficient for the fill values until the next collection.
DOI: 10.5281/zenodo.14988663
title: Ultra Sound Garbage Bin Sensor Reading Records
title: in an entire portugese municipality from 01/01/2021 to 01/04/2024

description: The directory is structured in the following way:





The file "ids.csv" is a one-column table that contains the IDs of all the containers present in the dataset. Use this file as a helper to iterate over the dictionary.




The file "INFO.csv" contains relevant data about the containers, namely "Capacity," "WasteType," "Latitude," and "Longitude."



Then, for each container, there are four files with the following naming convention:



Container_ID_recs_UnCorrected_with_metrics.csv

Container_ID_fill_UnCorrected_with_metrics.csv

Container_ID_recs_Corrected_with_metrics.csv

Container_ID_fill_Corrected_with_metrics.csv


The RAW values extracted from the sensors are in the UnCorrected files. The FILL levels are extracted by the sensors, and DATES (whether from collections or sensor readings) are provided by the management system. The sensor timestamps are automatic, and collection times are manually entered by service providers. The rest of the information consists of calculations made by us for reproducibility. An atempt to correct some data was preform, these are present in the corrected files.

The fill files contain information about the Fill level of the container. Additional columns include the Max and Min monotonic approximations between each collection, along with their mean (middle point) value. The "REC" column is a mask set to true for the first fill value measured after a collection is made. The "Cidx" column is a unique identifier for each fill value between collections, which allows us to use groupby on each event between collections.

The rec files contain information about the Collections made for that container. Additional columns include the End_Pointer, which is the row index for when that collection is made in the corresponding fill file, along with AVG_DIST, which is 100 minus the average difference between the Max and Min approximations until the next collection, and 100 times the Spearman coefficient for the fill values until the next collection.
DOI: 10.15468/dl.hn3hus
title: Occurrence Download

description: A dataset containing 670 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.03701 36.78519,27.03701 36.78519,27.03701 49.21481,-4.03701 49.21481,-4.03701 36.78519))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Salamandrina perspicillata (Savi, 1821)"
 ]
}

 The dataset includes 670 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052233-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rksrs2
title: Occurrence Download

description: A dataset containing 345 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((9.890983879387193 41.32064031194281,13.890983879387193 41.32064031194281,13.890983879387193 45.32064031194281,9.890983879387193 45.32064031194281,9.890983879387193 41.32064031194281))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Salamandrina perspicillata (Savi, 1821)"
 ]
}

 The dataset includes 345 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058089-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6zw3af
title: Occurrence Download

description: A dataset containing 44141 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psammodromus algirus (Linnaeus, 1758)"
 ]
}

 The dataset includes 44141 records from 189 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007880-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18154/rwth-2024-07601
title: Determining Local Distribution of Convective Heat Transfer Coefficients on the Tool during Orthogonal Cutting - Supplementary Dataset

description: Particularly during machining, large heat sources and thus high temperature gradients and mechanical stress occur in the cutting zone. By using cutting fluids, part of the heat generated can be dissipated, thereby reducing local temperatures. In order to quantify the cooling efficiency of the cutting fluid, the flow behavior of the cutting fluid in vicinity of the cutting zone must be determined to derive the resulting convective heat transfer coefficients at the tool. The geometries, temperature fields as well as the heat sources resulting during the machining process are extracted from a chip formation simulation using FEM and used to set up a three-dimensional CFD flow simulation. This work investigates the local distribution of the convective heat transfer coefficient as a function of the flow boundary conditions, specifically evaluating the effects of Reynolds number, injection angle, and nozzle radius. Simulation results reveal that the distribution of the convective heat transfer coefficient on the tool rake face can be divided into three distinct regions: The impingement zone where the impinging jet first strikes, the deflection zone near the chip where the flow sharply redirects, and the boundary layer zone covering the remaining surface. A geometric function is derived to describe the position and extent of each of these areas. In addition, the mean convective heat transfer coefficient can be determined for each of the regions using a Nusselt correlation based on the flow parameters. These correlations allow for simplified determination of the local convective heat transfer coefficient on the tool.
DOI: 10.15468/dl.8ct3dg
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Takhtajania perrieri (Capuron) Baranova & J.-F.Leroy"
 ]
}

 The dataset includes 60 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007969-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10952048
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.6084/m9.figshare.28553912
title: Codes of the essay

description: Amid worsening climate change, the health risks of heatwaves are increasing. Urban green spaces have proven to lower temperatures and mitigate these risks. This study estimates the mortality burdens of ischemic heart disease, stroke, and chronic obstructive pulmonary disease (COPD) attributable to heatwaves in 232 cities in China, using five-year age group data and fine resolution data of urban green space. Based on current greenness levels and a counterfactual scenario, the study compares historical (2001-2021) and future (2022-2035) periods under three climate scenarios. From 2001 to 2021, heatwaves caused an average of 486,340 (95%CI 347,703-617,075), 835,019(95%CI 655,732-957,913), and 2,449,840 (95%CI 1,827,531-2,955,119) deaths from the three diseases, respectively. Increasing green coverage by 18.33%(SD 6.43, range 0.75%-29.17%) could reduce urban temperatures by 0.20°C (SD 0.16, range 0.01-1.12), potentially preventing 19,511(95%CI 16,219-20,554), 27,209(95%CI 27,060-27,631), and 75,809 (95%CI 71,995-77,270) heatwave-related deaths. The results of this study show the impact of heatwaves on mortality rates for specific diseases and highlight the health benefits of increasing tree coverage for urban residents.
DOI: 10.15468/dl.5mmqhd
title: Occurrence Download

description: A dataset containing 191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cynoglossum magellense Ten.",
 "Year 1960-2025"
 ]
}

 The dataset includes 191 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007881-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zeg4fj
title: Occurrence Download

description: A dataset containing 13482457 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "Year 2000-2025"
 ]
}

 The dataset includes 13482457 records from 895 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007878-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1055862.10fu
title: SH1055862.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.