cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2t4hdj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Achillea clavennae glabrata, Achillea clavennae glabrata, Achillea clavennae intercedens, Achillea clavennae visianii, Achillea glavennae, Achillea intercedens, Achillea millii, Achillea millii, Achillea sericea, Achillea sericea)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024000-250711103210423/datasets/export for details.
DOI: 10.15468/dl.6jykwm
title: Occurrence Download

description: A dataset containing 296 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Usnea hirta",
 "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 296 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024001-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15829432
title: GLOBIOM output data for the forest sector part in CLEVER D7.2 deliverable

description: Supplement for CLEVER D7.2 deliverable including output data for the forest sector part figures. CLEVER D7.2 forest sector part analyzes wood-based bioeconomy and novel forest sector supply chains. Results show that bioeconomy can be combined to sustainable forestry, but this needs novel forest sector supply chain solutions such as forest plantation, non-woody biomass use for bioenergy, and/or circular economy. 

The record contains one readme file (readme_D72_ForestSupplyChains.docx) and one model output reporting csv file (CLEVER_D7.2_ForestSupplyChains_results.csv)
DOI: 10.5281/zenodo.15829433
title: GLOBIOM output data for the forest sector part in CLEVER D7.2 deliverable

description: Supplement for CLEVER D7.2 deliverable including output data for the forest sector part figures. CLEVER D7.2 forest sector part analyzes wood-based bioeconomy and novel forest sector supply chains. Results show that bioeconomy can be combined to sustainable forestry, but this needs novel forest sector supply chain solutions such as forest plantation, non-woody biomass use for bioenergy, and/or circular economy. 

The record contains one readme file (readme_D72_ForestSupplyChains.docx) and one model output reporting csv file (CLEVER_D7.2_ForestSupplyChains_results.csv)
DOI: 10.15468/dl.g23m8p
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cardamine albertii"
 ]
}

 The dataset includes 52 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024002-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ygqvuu
title: Occurrence Download

description: A dataset containing 1715 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cardamine corymbosa"
 ]
}

 The dataset includes 1715 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024004-250711103210423/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/12488553
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.q56xzx
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Algeria",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Pinus halepensis"
 ]
}

 The dataset includes 107 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024005-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qpubjr
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AAD1669"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024006-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15978023
title: Polígonos de edificações extraídos para o município de Capão do Leão/RS

description: Polígonos das edificações - Open Buildings V3 Polygons. Disponível em: https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_Research_open-buildings_v3_polygons. Os dados originais foram tratados para disponibilização em arquivo vetorial por: Alice Rauber. 

 

Sobre os dados originais:

Esse conjunto de dados aberto em grande escala consiste em contornos de edifícios derivados de imagens de satélite de 50 cm em alta resolução. Ele contém 1,8 bilhão de detecções de edifícios na África, América Latina, Caribe, Ásia do Sul e Sudeste Asiático. A inferência abrangeu uma área de 58 milhões de km².

Para cada edifício neste conjunto de dados, incluímos o polígono que descreve o impacto no terreno, uma pontuação de confiança indicando a certeza de que este é um edifício e um Plus Code correspondente ao centro do edifício. Não há informações sobre o tipo de prédio, o endereço ou qualquer detalhe além da geometria.

A inferência foi realizada em maio de 2023.

Para mais detalhes, consulte o site oficial do conjunto de dados do Open Buildings.

 

==> Dicionário de dados:

area_in_meters:    Área em metros quadrados do polígonoconfidence: Pontuação de confiança [0,65;1,0] atribuída pelo modelofull_plus_code: O Plus Code completo no centro do polígono do edifíciolongitude_latitude: Centroide do polígono
DOI: 10.5281/zenodo.15978021
title: Polígonos de edificações extraídos para o município de Capão do Leão/RS

description: Polígonos das edificações - Open Buildings V3 Polygons. Disponível em: https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_Research_open-buildings_v3_polygons. Os dados originais foram tratados para disponibilização em arquivo vetorial por: Alice Rauber. 

 

Sobre os dados originais:

Esse conjunto de dados aberto em grande escala consiste em contornos de edifícios derivados de imagens de satélite de 50 cm em alta resolução. Ele contém 1,8 bilhão de detecções de edifícios na África, América Latina, Caribe, Ásia do Sul e Sudeste Asiático. A inferência abrangeu uma área de 58 milhões de km².

Para cada edifício neste conjunto de dados, incluímos o polígono que descreve o impacto no terreno, uma pontuação de confiança indicando a certeza de que este é um edifício e um Plus Code correspondente ao centro do edifício. Não há informações sobre o tipo de prédio, o endereço ou qualquer detalhe além da geometria.

A inferência foi realizada em maio de 2023.

Para mais detalhes, consulte o site oficial do conjunto de dados do Open Buildings.

 

==> Dicionário de dados:

area_in_meters:    Área em metros quadrados do polígonoconfidence: Pontuação de confiança [0,65;1,0] atribuída pelo modelofull_plus_code: O Plus Code completo no centro do polígono do edifíciolongitude_latitude: Centroide do polígono
DOI: 10.15468/dl.mzmeqp
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea lacunosa",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024007-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qh33m8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Senecio madagascariensis",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024008-250711103210423/datasets/export for details.
DOI: 10.15468/dl.6w7332
title: Occurrence Download

description: A dataset containing 25116 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Drabella muralis"
 ]
}

 The dataset includes 25116 records from 687 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024003-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6cvu8g
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myocastor coypus",
 "Country is Serbia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 39 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024009-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15974222
title: Si and III-nitride based photonic crystal cavities for optical trapping and non-linear optics

description: The project data will be organised in the following folder system :

One main folder for the each subproject : GaN nonlinear optics and Optical trapping

 

Each folder is organised in the following sub-folder system (not all may be used), each with a readme-txt file if necessary.

1 Fabrication and processing folder includes masks and processes used for clean room processing (Runcard, process flow diagram, same as the submitted to CMi).

2 Simulations folder includes simulation and driver files include finite-difference time domain (FDTD) and finite-element method (FEM) simulations, optical structure calculations as well as laboratory codes written using Matlab or the Python language.

3 Mechanical drawings folder includes drawings for the mechanical workshop and relevant information (photos, pictures, drawings).

4 Characterization folder includes general structural characterisation data of all samples produced during the work. Typical examples of structural characterisation techniques include, atomic force microscopy (AFM), scanning electron microscopy (SEM), spectroscopic ellipsometry (SE), X-ray diffraction spectra (XRD), stylus profiler data, reflectometry and optical microscopy as well.

5 Optical measurements folder includes optical spectroscopy data of all samples produced during the work. Typical examples of optical characterisation techniques include photoluminescence, reflectivity and transmission and other data such as Fourier imaging obtained in end-fire set-up.

 

6 Processed data folder includes sketches, drawings, figures and scientific papers.

 

As a general rule, the .txt files are preferred when possible for all categories above.

 

Metadata

Two types of metadata will be considered within the frame of our project: that corresponding to the project publications and that corresponding to the published research data. For that reason, metadata will be included in a subfolder within the 6 Processed data subfolder.

In the context of data management, metadata will form a subset of data documentation that will explain the purpose, origin, description, time reference, creator, access conditions and terms of use of a data collection.
DOI: 10.5281/zenodo.15974223
title: Si and III-nitride based photonic crystal cavities for optical trapping and non-linear optics

description: The project data will be organised in the following folder system :

One main folder for the each subproject : GaN nonlinear optics and Optical trapping

 

Each folder is organised in the following sub-folder system (not all may be used), each with a readme-txt file if necessary.

1 Fabrication and processing folder includes masks and processes used for clean room processing (Runcard, process flow diagram, same as the submitted to CMi).

2 Simulations folder includes simulation and driver files include finite-difference time domain (FDTD) and finite-element method (FEM) simulations, optical structure calculations as well as laboratory codes written using Matlab or the Python language.

3 Mechanical drawings folder includes drawings for the mechanical workshop and relevant information (photos, pictures, drawings).

4 Characterization folder includes general structural characterisation data of all samples produced during the work. Typical examples of structural characterisation techniques include, atomic force microscopy (AFM), scanning electron microscopy (SEM), spectroscopic ellipsometry (SE), X-ray diffraction spectra (XRD), stylus profiler data, reflectometry and optical microscopy as well.

5 Optical measurements folder includes optical spectroscopy data of all samples produced during the work. Typical examples of optical characterisation techniques include photoluminescence, reflectivity and transmission and other data such as Fourier imaging obtained in end-fire set-up.

 

6 Processed data folder includes sketches, drawings, figures and scientific papers.

 

As a general rule, the .txt files are preferred when possible for all categories above.

 

Metadata

Two types of metadata will be considered within the frame of our project: that corresponding to the project publications and that corresponding to the published research data. For that reason, metadata will be included in a subfolder within the 6 Processed data subfolder.

In the context of data management, metadata will form a subset of data documentation that will explain the purpose, origin, description, time reference, creator, access conditions and terms of use of a data collection.
DOI: 10.15468/dl.52yrpf
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sarcodraba subterranea"
 ]
}

 The dataset includes 10 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024013-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1133248
title: Site Images and GIS Data from an Archaeological Evaluation at Crockwell Hill Solar, Watford Gap, Northamptonshire, October 2023

description: This collection consists of site images and GIS data from an archaeological evaluation at Crockwell Hill Solar, Watford Gap, Northamptonshire. The works were conducted by Cotswold Archaeology in October 2023. Trenches were located to test anomalies identified during a preceding geophysical survey and to provide a representative sample of the remainder of the site. Results of the evaluation partially confirmed those of the geophysical survey. Results from the evaluation suggest a late prehistoric and later Romano-British presence in the area.
DOI: 10.15468/dl.dqja83
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ABZ7236"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024014-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xt5yje
title: Occurrence Download

description: A dataset listing the 15695 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.38956 10.35375,-73.80402 10.35375,-73.80402 11.29029,-74.38956 11.29029,-74.38956 10.35375))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 15695 records were derived from 561 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023990-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vey6yy
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003953-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.48tytg
title: Occurrence Download

description: A dataset containing 15058850 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is March",
 "Year 2019-2020"
 ]
}

 The dataset includes 15058850 records from 854 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0145190-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p5uo1j
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018270-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.722b96
title: Occurrence Download

description: A dataset containing 835583 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alnus Mill."
 ]
}

 The dataset includes 835583 records from 1481 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091688-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fngd9h
title: Occurrence Download

description: A dataset containing 2049 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Picumnus pygmaeus (M.H.K.Lichtenstein, 1823)"
 ]
}

 The dataset includes 2049 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008600-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aejnam
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allium kossoricum Fomin"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011808-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yr6xd4
title: Occurrence Download

description: A dataset containing 129 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agave hiemiflora Gentry"
 ]
}

 The dataset includes 129 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004457-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gpy7ja
title: Occurrence Download

description: A dataset containing 3428 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Liosceles thoracicus",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 3428 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075370-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6069/t3j3-3z14
title: Swift Universal Glycan Acquisition (SUGA) Enables Quantitative Glycan Profiling Across Diverse Sample Types

description: The ability to rapidly analyze complex mixtures of glycans derived from glycoproteins is important, but the techniques are often laborious and require multiple glycan derivatization steps.  Here we describe an approach termed Swift Universal Glycan Acquisition (SUGA) in which the total released, native, non-reduced N-glycan samples are analyzed following direct injection and electrospray ionization in a mass spectrometer with a rapid 3-minute run time for each sample.  As electrospray ionization (ESI) can generate multiple adducts for the same glycan composition (MS1), deconvolution was performed to yield the relative intensity profile for each glycan composition detected; each annotated composition is supported by an annotated MS2 spectrum. This combination of MS1 and MS2 data enables confident glycan identification.  The data obtained by SUGA were comparable to those obtained using permethylated N-glycans analyzed by matrix-assisted laser-desorption/ionization (MALDI)-MS.  The SUGA approach was applied to the analyses of several purified glycoproteins and N-glycans derived from cells and compared to spectra obtained following permethylation and analysis by MALDI-MS.
DOI: 10.15468/dl.4tuffx
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Heliophila florulenta Sond."
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008602-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xu9qdg
title: Occurrence Download

description: A dataset containing 14199 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Occurrence evidence, Living Specimen, Material sample)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ophrys scolopax Cav.",
 "Year 1970-2003"
 ]
}

 The dataset includes 14199 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011881-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u6rtbj
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pterocarpus osun Craib"
 ]
}

 The dataset includes 111 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005096-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.