cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ldln4v
title: Occurrence Download

description: A dataset containing 2456661 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phylloscopus collybita (Vieillot, 1817)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2456661 records from 929 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011022-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9dnum3
title: Occurrence Download

description: A dataset containing 14166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mysidae",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than 2000"
 ]
}

 The dataset includes 14166 records from 167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133101-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.34b4z7
title: Occurrence Download

description: A dataset containing 559 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CollectionCode is birds",
 "InstitutionCode is lacm",
 "TaxonKey is Pterodroma Bonaparte, 1856"
 ]
}

 The dataset includes 559 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069297-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u5kfda
title: Occurrence Download

description: A dataset containing 20520 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Osteopilus septentrionalis (Duméril & Bibron, 1841)"
 ]
}

 The dataset includes 20520 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025069-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8rnegt
title: Occurrence Download

description: A dataset containing 12193 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-71.67801 -29.53812,-71.24588 -29.53812,-71.24588 -29.00711,-71.67801 -29.00711,-71.67801 -29.53812))"
 ]
}

 The dataset includes 12193 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000577-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15240187
title: Database of soil mites in Polish beech forests after ground-based skidding operations
DOI: 10.5281/zenodo.15240188
title: Database of soil mites in Polish beech forests after ground-based skidding operations
DOI: 10.15468/dl.38heeh
title: Occurrence Download

description: A dataset containing 597 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Toxicodendron orientale subsp. orientale",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2010",
 "HasCoordinate is true"
 ]
}

 The dataset includes 597 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005492-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t385m4
title: Occurrence Download

description: A dataset containing 3193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Obolodiplosis robiniae (Haldeman, 1847))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3193 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001108-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a9r3nh
title: Occurrence Download

description: A dataset containing 194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cyperus tenuispica Steud.)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 194 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001075-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kgxkza
title: Occurrence Download

description: A dataset containing 28598793 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 1965-2025"
 ]
}

 The dataset includes 28598793 records from 2481 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001019-250227182430271/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/11388277
title: Layline Shareholder activism dataset
DOI: 10.15468/dl.mapcwr
title: Occurrence Download

description: A dataset containing 5090 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Coptodon zillii (Gervais, 1848)"
 ]
}

 The dataset includes 5090 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011570-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pnthxc
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-8.77389 39.87085,-8.60344 39.87085,-8.60344 39.98537,-8.77389 39.98537,-8.77389 39.87085))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is DD",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071657-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5pc3te
title: Occurrence Download

description: A dataset containing 337648 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Nigerian Bird Atlas Project (Adhoc Records)"
 ]
}

 The dataset includes 337648 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071656-250525065834625/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.27611766
title: 3D dataset for thermal tomography

description: In this study, we explore the use of 3D convolutional neural networks (CNNs) for predicting internal temperature fields from the surface temperature, with a focus on applications where small temperature gradients, similar to those in the human body, are present. The network accuracy was evaluated under both ideal and non-ideal conditions which include noise and background temperature effects. In non-ideal scenarios, the network accurately reconstructed the 3D temperature field for small phantoms (e.g., 10 cm in diameter). However, as the size of the domain increased, the network's predictive capacity diminished, particularly in regions far from the surface. To address this limitation, we introduced statistical uncertainty during training, simulating non-ideal conditions, in combination with a physics-informed loss function which embed the heat equation directly into the training process. This combination can improve the model's performance, particularly in noisy environments, where traditional CNN architectures failed to reconstruct hot-spots in deeper regions. Our results suggest that combining deep learning with physical constraints offers a robust framework for non-invasive thermal imaging and other applications requiring high-precision temperature field reconstruction.To generate synthetic data for thermal tomography, we solve the heat equation within a cylindrical region representing a phantom. The phantom consists of a medium with conductivity similar to that of the human body, containing cylindrical hotspots, which simulate regions of varying thermal activity. The boundary conditions applied to the cylindrical phantom are convective boundary conditions. At the boundary, the heat flux is proportional to the temperature difference between the surface of the phantom and the surrounding ambient air. The value of the thermal conductivity of the medium was chosen to be 0.5 W/(mk) and the heat convection (used in the boundary condition-cooling from air) = 7.5 W/(m$^2$K).The dataset provided is composed of the training, validation and testing sets. Files x_train, x_validation and x_test provide the input to the CNN which is a representation of the 3D surface temperature of a cylindrical phantom. Equivalently the y_train, y_validation and y_test is the actual 3D temperature field resulting from the solution of the heat equation.
DOI: 10.6084/m9.figshare.27611766.v1
title: 3D dataset for thermal tomography

description: In this study, we explore the use of 3D convolutional neural networks (CNNs) for predicting internal temperature fields from the surface temperature, with a focus on applications where small temperature gradients, similar to those in the human body, are present. The network accuracy was evaluated under both ideal and non-ideal conditions which include noise and background temperature effects. In non-ideal scenarios, the network accurately reconstructed the 3D temperature field for small phantoms (e.g., 10 cm in diameter). However, as the size of the domain increased, the network's predictive capacity diminished, particularly in regions far from the surface. To address this limitation, we introduced statistical uncertainty during training, simulating non-ideal conditions, in combination with a physics-informed loss function which embed the heat equation directly into the training process. This combination can improve the model's performance, particularly in noisy environments, where traditional CNN architectures failed to reconstruct hot-spots in deeper regions. Our results suggest that combining deep learning with physical constraints offers a robust framework for non-invasive thermal imaging and other applications requiring high-precision temperature field reconstruction.To generate synthetic data for thermal tomography, we solve the heat equation within a cylindrical region representing a phantom. The phantom consists of a medium with conductivity similar to that of the human body, containing cylindrical hotspots, which simulate regions of varying thermal activity. The boundary conditions applied to the cylindrical phantom are convective boundary conditions. At the boundary, the heat flux is proportional to the temperature difference between the surface of the phantom and the surrounding ambient air. The value of the thermal conductivity of the medium was chosen to be 0.5 W/(mk) and the heat convection (used in the boundary condition-cooling from air) = 7.5 W/(m$^2$K).The dataset provided is composed of the training, validation and testing sets. Files x_train, x_validation and x_test provide the input to the CNN which is a representation of the 3D surface temperature of a cylindrical phantom. Equivalently the y_train, y_validation and y_test is the actual 3D temperature field resulting from the solution of the heat equation.
DOI: 10.5281/zenodo.15745341
title: Unique signatures of meridional wind variations on the electron density distribution over the equator
DOI: 10.15468/dl.5q6xem
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhytidiadelphus triquetrus (Hedw.) Warnst.",
 "Geometry POLYGON((-8.00174339329464 54.1998526673513, 0.202120938926891 54.1998526673513, 0.202120938926891 61.2628565887411, -8.00174339329464 61.2628565887411, -8.00174339329464 54.1998526673513))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071658-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34810/data313
title: TRL Malt Parser module for Spanish

description: The file espmalt-1.0.mco contains a single malt configuration for parsing Spanish text with MaltParser. The parser presupposes that the input is in CoNLL-X format and tagged with the part-of-speech tags of FreeLing tagger.
DOI: 10.5281/zenodo.15754627
title: A Systematic Mapping Study on Risks and Vulnerabilities in Software Containers
DOI: 10.15468/dl.s8mfas
title: Occurrence Download

description: A dataset containing 5163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Juncus conglomeratus L.",
 "Geometry POLYGON((-8.00174339329464 54.1998526673513, 0.202120938926891 54.1998526673513, 0.202120938926891 61.2628565887411, -8.00174339329464 61.2628565887411, -8.00174339329464 54.1998526673513))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5163 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071659-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21249/dzhw:gsl2012:3.0.0
title: DZHW-Studienberechtigtenpanel 2012 - Ausbildungswege von Studienberechtigten
title: DZHW Panel Study of School Leavers 2012 - Educational paths of school leavers with a higher education entrance qualification

description: The DZHW-Panel Study of School Leavers 2012 is part of the DZHW-Panel Study of School Leavers survey series, in which standardized multiple surveys are used to collect information on the post-school careers of school leavers with a (school) higher education entrance qualification. As a rule, several survey waves are conducted at different times before and after the acquisition of the higher education entrance qualification for each year group of persons with a university entrance qualification. Accordingly, this is a combined cohort-panel design. The panel 2012 is the 19th cohort of the study series with currently three waves.
The special topics chosen for the 2012 DZHW-Panel Study of School Leavers were information behaviour in choosing a post-school career, the social environment and cultural experience.
description: Das DZHW-Studienberechtigtenpanel 2012 ist Teil der DZHW-Studienberechtigtenbefragungsreihe, in der anhand von standardisierten Mehrfachbefragungen Informationen zu den nachschulischen Werdegängen von Schulabgänger*innen mit (schulischer) Hochschulzugangsberechtigung erfasst werden. In der Regel werden für jeden Studienberechtigtenjahrgang mehrere Befragungswellen zu unterschiedlichen Zeitpunkten vor und nach Erwerb der Hochschulzugangsberechtigung durchgeführt. Demnach handelt es sich um ein kombiniertes Kohorten-Panel-Design. Beim Studienberechtigtenpanel 2012 handelt es sich um die 19. Kohorte der Studienreihe mit aktuell drei Wellen.
Als besondere Themen des DZHW-Studienberechtigtenpanels 2012 wurden das Informationsverhalten bei der Wahl des nachschulischen Werdegangs, das soziale Umfeld sowie kulturelle Erfahrungen gewählt.
description: School leavers from general and vocational schools of the school year 2011/2012 with German higher education entrance qualification
description: Schulabgänger*innen allgemeinbildender und beruflicher Schulen des Schuljahres 2011/2012 mit bundesdeutscher Hochschulreife
description: School leavers from general and vocational schools of the school year 2011/2012 with German higher education entrance qualification
description: Schulabgänger*innen allgemeinbildender und beruflicher Schulen des Schuljahres 2011/2012 mit bundesdeutscher Hochschulreife
description: School leavers from general and vocational schools of the school year 2011/2012 with German higher education entrance qualification
description: Schulabgänger*innen allgemeinbildender und beruflicher Schulen des Schuljahres 2011/2012 mit bundesdeutscher Hochschulreife
DOI: 10.15468/49xfns
title: Fungi - 4EU+ Summer School From Fungal Morphology to Genotype, Karłów 2023

description: A list of specimens recorded during Field Mycology course on August 28 to September 3, 2023 organized by 4EU+ Alliance in Karłów (Poland). Participants took trips to various forest sites in Góry Stołowe National Park, collected various fungi and fungi-like organisms, and identified them during laboratory classes. Some specimens were dried, preserved, and deposited in the Herbarium of the University of Warsaw (WA), Poland. The list includes mostly non-lichenised fungi, ascomycetes, and basidiomycetes. Most records were identified to a species level, a few identified only to a genus, and several with tentative species identifications. For some records ITS rDNA barcoding sequences are linked.
DOI: 10.15468/dl.j8s8wb
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, China, Myanmar, Bhutan, Pakistan, Bangladesh, Nepal, Afghanistan)",
 "TaxonKey is Rhaphicera satricus (Doubleday, 1849)"
 ]
}

 The dataset includes 15 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071661-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tuce4x
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, China, Bangladesh, Afghanistan, Pakistan, Nepal, Myanmar, Bhutan)",
 "TaxonKey is Rhaphicera moorei Butler, 1867"
 ]
}

 The dataset includes 36 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071662-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15422023
title: Technology of 3D printing and possibilities of use in building elements

description: The paper deals with 3D printing technology and its use in construction. There are several 3D printing technologies, where the main aspects that need to be considered are the choice of printing material. Examples of printing material include polymers, resins, concrete, steel or ceramics. The print material can be chosen in the form of an eco-friendly polymer material, where examples include PLA (PolyLactic Acid), rPLA (Recycled PolyLactic Acid), PETG (Glycol-modified Polyethylene Terephthalate). It is also possible to choose from a range of other polymers, wherein the material includes for example ABS (Acrylonitrile Butadiene Styrene), PE (PolyEthylene), PP (PolyproPylene), PVA, etc. The choice of the printing material itself is closely linked to the choice of the 3D printing printer itself, with each printer considering the material used in 3D printing. In the construction industry, polymers can be used by creating special atypical moulds, which can be further used in laboratory tests or, for example, in the field of architecture for interior design elements or exterior furnishings in the form of furnishings.
DOI: 10.15468/dl.5u33hx
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Ranunculus lingua L."
 ]
}

 The dataset includes 113 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071663-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23729/fd-b3b684c4-1a98-37fd-858a-4deba1bc799b
title: Original data for “Whisker pad stimulation with different frequencies reveals non-uniform modulation of functional MRI signal across sensory systems in awake rats”

description: This data package includes 80 fMRI scans obtained from 13 rats in either the awake state or under light isoflurane-medetomidine anesthesia, presented in the Cerebral Cortex article: “Whisker pad stimulation with different frequencies reveals non-uniform modulation of functional MRI signal across sensory systems in awake rats”.

The folder "fMRI_data" contains the final preprocessed fMRI files, with preprocessing steps described in the article. The folder "stimulus_information" includes text files (e.g. session_modalities.txt, stimulus_side.txt, stimu_timings_awake.txt, and stimu_timings_isomed.txt) that provide information on the state of consciousness, type and order of stimuli timings, and stimulus side for each scan. The folder "ROIs" contains the regions-of-interest used for the analyses published in the article. The folder "target" includes anatomical and functional images of the target brain.

Contact information for further requests can be found inside the package.
DOI: 10.15468/dl.epenxj
title: Occurrence Download

description: A dataset containing 1140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Elminia nigromitrata (Reichenow, 1874)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 1140 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071664-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34810/data321
title: Basque-English LMF Apertium Bilingual dictionary

description: -
description: This is the LMF version of the Apertium bilingual dictionary for Basque and English languages. Bilingual LMF dictionaries were generated from Apertium bilingual dix files. For each Apertium bilingual correspondence, the corresponding source and target monolingual entries (LexicalEntry) were generated in addition to the bilingual correspondence (SenseAxis) element. Apertium is a free/open-source machine translation platform, initially aimed at related-language pairs but recently expanded to deal with more divergent language pairs (such as Basque-English). The platform provides: a language-independent machine translation engine; tools to manage the linguistic data necessary to build a machine translation system for a given language pair and linguistic data for a growing number of language pairs.
DOI: 10.15468/dl.dssqqx
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, China, Myanmar, Bhutan, Bangladesh, Afghanistan, Pakistan, Nepal)",
 "TaxonKey is Orinoma damaris Gray, 1846"
 ]
}

 The dataset includes 89 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071665-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7266/91s0xwzy
title: Below-ground basic organic geochemistry data (organic carbon content, total nitrogen, carbon isotope, nitrogen isotope)