cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4557129
title: APExpose_DE

description: The APExpose_DE dataset is a long-term (2003-2022) dataset providing ambient air pollution metrics at yearly time resolution for NO2, NO, O3, PM10 and PM2.5 at the NUTS-3 spatial resolution level (corresponding to the Landkreis/Kreisfreie Stadt in Germany).

The sources used for the production of the dataset were monitoring data provided by the European Environmental Agency and the CAMS global reanalysis EAC4 . Stations of the types "Traffic" and "Industrial" were left out for being considered unrepresentative to long-term exposure, those of the type "Background" were included. Each station was geo-located within, and each computed yearly value associated to, a NUTS-3 unit. Within each NUTS-3 unit and for each metric, the yearly values per station were averaged in three ways, giving preference to different station sitings, each representing a different scenario: average, urban, remote.

The monitoring data were produced for the NUTS-3 units and the years where monitoring data for a given pollutant is available. In order to complete the dataset for the NUTS-3 units where no monitoring data for a given pollutant is available, the Copernicus Atmospheric Monitoring Service (CAMS) EAC4 reanalysis was used. The yearly-averaged rasters from CAMS were vectorized and scaled to available monitoring data to obtain values for each NUTS-3 units.

As a final step, the Airbase and CAMS derived data were combined to produce the APExpose_DE dataset.
DOI: 10.5281/zenodo.4557130
title: APExpose_DE

description: The APExpose_DE dataset is a long-term (2010-2019) dataset providing ambient air pollution metrics at yearly time resolution for NO2, NO, O3, PM10 and PM2.5 at the NUTS-3 spatial resolution level (corresponding to the Landkreis/Kreisfreie Stadt in Germany). The sources used for the production of the dataset were Airbase, from the European Environmental Agency (https://www.eea.europa.eu/themes/air/explore-air-pollution-data)<br> and the CAMS global reanalysis EAC4 (https://www.ecmwf.int/en/forecasts/dataset/cams-global-reanalysis). Stations of the types "Traffic" and "Industrial" were left out for being considered unrepresentative to long-term exposure, those of the type "Background" were included. Each station was geo-located within, and each computed yearly value associated to, a NUTS-3 unit. Within each NUTS-3 unit and for each metric, the yearly values per station were averaged in three ways, giving preference to different station sitings, each representing a different scenario: average, urban, remote. The monitoring data were produced for the NUTS-3 units and the years where monitoring data for a given pollutant is available. In order to complete the dataset for the NUTS-3 units where no monitoring data for a given pollutant is available, the Copernicus Atmospheric Monitoring Service (CAMS) EAC4 reanalysis (https://www.ecmwf.int/en/forecasts/dataset/cams-global-reanalysis) was used. The yearly-averaged rasters from CAMS were vectorized and scaled to available monitoring data to obtain values for each NUTS-3 units. As a final step, the Airbase and CAMS derived data were combined to produce the APExpose_DE dataset.
DOI: 10.5281/zenodo.5045062
title: APExpose_DE

description: The APExpose_DE dataset is a long-term (2010-2019) dataset providing ambient air pollution metrics at yearly time resolution for NO2, NO, O3, PM10 and PM2.5 at the NUTS-3 spatial resolution level (corresponding to the Landkreis/Kreisfreie Stadt in Germany). The sources used for the production of the dataset were Airbase, from the European Environmental Agency (https://www.eea.europa.eu/themes/air/explore-air-pollution-data)<br> and the CAMS global reanalysis EAC4 (https://www.ecmwf.int/en/forecasts/dataset/cams-global-reanalysis). Stations of the types "Traffic" and "Industrial" were left out for being considered unrepresentative to long-term exposure, those of the type "Background" were included. Each station was geo-located within, and each computed yearly value associated to, a NUTS-3 unit. Within each NUTS-3 unit and for each metric, the yearly values per station were averaged in three ways, giving preference to different station sitings, each representing a different scenario: average, urban, remote. The monitoring data were produced for the NUTS-3 units and the years where monitoring data for a given pollutant is available. In order to complete the dataset for the NUTS-3 units where no monitoring data for a given pollutant is available, the Copernicus Atmospheric Monitoring Service (CAMS) EAC4 reanalysis (https://www.ecmwf.int/en/forecasts/dataset/cams-global-reanalysis) was used. The yearly-averaged rasters from CAMS were vectorized and scaled to available monitoring data to obtain values for each NUTS-3 units. As a final step, the Airbase and CAMS derived data were combined to produce the APExpose_DE dataset.
DOI: 10.5281/zenodo.5093950
title: APExpose_DE

description: The APExpose_DE dataset is a long-term (2010-2019) dataset providing ambient air pollution metrics at yearly time resolution for NO2, NO, O3, PM10 and PM2.5 at the NUTS-3 spatial resolution level (corresponding to the Landkreis/Kreisfreie Stadt in Germany). The sources used for the production of the dataset were Airbase, from the European Environmental Agency (https://www.eea.europa.eu/themes/air/explore-air-pollution-data)<br> and the CAMS global reanalysis EAC4 (https://www.ecmwf.int/en/forecasts/dataset/cams-global-reanalysis). Stations of the types "Traffic" and "Industrial" were left out for being considered unrepresentative to long-term exposure, those of the type "Background" were included. Each station was geo-located within, and each computed yearly value associated to, a NUTS-3 unit. Within each NUTS-3 unit and for each metric, the yearly values per station were averaged in three ways, giving preference to different station sitings, each representing a different scenario: average, urban, remote. The monitoring data were produced for the NUTS-3 units and the years where monitoring data for a given pollutant is available. In order to complete the dataset for the NUTS-3 units where no monitoring data for a given pollutant is available, the Copernicus Atmospheric Monitoring Service (CAMS) EAC4 reanalysis (https://www.ecmwf.int/en/forecasts/dataset/cams-global-reanalysis) was used. The yearly-averaged rasters from CAMS were vectorized and scaled to available monitoring data to obtain values for each NUTS-3 units. As a final step, the Airbase and CAMS derived data were combined to produce the APExpose_DE dataset.
DOI: 10.5281/zenodo.6523797
title: APExpose_DE

description: The APExpose_DE dataset is a long-term (2004-2019) dataset providing ambient air pollution metrics at yearly time resolution for NO2, NO, O3, PM10 and PM2.5 at the NUTS-3 spatial resolution level (corresponding to the Landkreis/Kreisfreie Stadt in Germany). The sources used for the production of the dataset were Airbase, from the European Environmental Agency (https://www.eea.europa.eu/themes/air/explore-air-pollution-data)<br> and the CAMS global reanalysis EAC4 (https://www.ecmwf.int/en/forecasts/dataset/cams-global-reanalysis). Stations of the types "Traffic" and "Industrial" were left out for being considered unrepresentative to long-term exposure, those of the type "Background" were included. Each station was geo-located within, and each computed yearly value associated to, a NUTS-3 unit. Within each NUTS-3 unit and for each metric, the yearly values per station were averaged in three ways, giving preference to different station sitings, each representing a different scenario: average, urban, remote. The monitoring data were produced for the NUTS-3 units and the years where monitoring data for a given pollutant is available. In order to complete the dataset for the NUTS-3 units where no monitoring data for a given pollutant is available, the Copernicus Atmospheric Monitoring Service (CAMS) EAC4 reanalysis (https://www.ecmwf.int/en/forecasts/dataset/cams-global-reanalysis) was used. The yearly-averaged rasters from CAMS were vectorized and scaled to available monitoring data to obtain values for each NUTS-3 units. As a final step, the Airbase and CAMS derived data were combined to produce the APExpose_DE dataset.
DOI: 10.15468/dl.tkpwjh
title: Occurrence Download

description: A dataset containing 649136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.23_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 649136 records from 223 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000777-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ny4t7n
title: Occurrence Download

description: A dataset containing 421 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Crotalus durissus Linnaeus, 1758"
 ]
}

 The dataset includes 421 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000786-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2vh525
title: Occurrence Download

description: A dataset containing 184299 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is false",
 "OccurrenceStatus is Present",
 "StateProvince is Michigan",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 184299 records from 245 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000778-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5sxg9z
title: Occurrence Download

description: A dataset containing 586405 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.23_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Arthropoda"
 ]
}

 The dataset includes 586405 records from 211 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000785-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j9pe4u
title: Occurrence Download

description: A dataset containing 2240 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "TaxonKey is Meles meles (Linnaeus, 1758)"
 ]
}

 The dataset includes 2240 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000787-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pp7wq7
title: Occurrence Download

description: A dataset containing 67987 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Megachilidae",
 "Year 2015-2025"
 ]
}

 The dataset includes 67987 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000789-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-es-2016302079
title: Structural Biology BAG - Portugal

description: The Portuguese MX BAG includes 16 PIs from three different institutions. Our research interests include soluble and membrane proteins of biomedical interest from humans or pathogenic organisms, several of which can be drug targets. A focal point of the Portuguese MX BAG is also structural enzymology, aimed at the elucidation of reaction mechanisms, characterization of active sites, and understanding inhibition tolerance in proteins with potential biomedical or biotechnological applications. In several cases, complementary Structural Biology approaches are employed, combining MX with SAXS and CryoEM.
DOI: 10.17632/5jd5925n2w.2
title: Longitudinal integrated spatial transcriptomic analysis of primary extramammary Paget’s disease

description: Background: Extramammary Paget’s disease (EMPD), a rare skin condition affecting inguinal and genital areas, has unclear cellular origins and is hard to diagnosis early due to benign-looking skin lesions. 
Objectives: In this study, we sought to examine the RNA expression profiles of EMPD tissue samples to gain further insights into the disease. 
Methods: Skin biopsies from a 63-year-old male with EMPD were taken at baseline to one-year post-treatment with topical imiquimod and ingenol mebutate. Histological analysis showed dermal invasion after one year. In situ RNA hybridization categorized 31 regions into normal, non-invasive and invasive EMPD, with 16 additional areas assessed for dermal inflammation.
Results: EMPD showed mTOR overactivation and unique gene expressions associated with sweat gland cells. SPDEF (SAM Pointed Domain Containing ETS Transcription Factor) was identified as a potential biomarker. Invasive EMPD differed in transcription factors from non-invasive EMPD, with gene ontology showing a shift towards epithelial-mesenchymal transition and reactive oxygen species pathways.
Limitations: The study’s reliance on in situ RNA hybridization and spatial transcriptomics may limit detection of low-abundance transcripts.
Conclusion: Utilizing spatial transcriptomics, this study identified distinct gene expression patterns and immune responses in EMPD samples, highlighting the involvement of the mTOR pathway, and transcription factors.
DOI: 10.17632/5jd5925n2w.3
title: Longitudinal integrated spatial transcriptomic analysis of primary extramammary Paget’s disease

description: Background: Extramammary Paget’s disease (EMPD), a rare skin condition affecting inguinal and genital areas, has unclear cellular origins and is hard to diagnosis early due to benign-looking skin lesions. 
Objectives: In this study, we sought to examine the RNA expression profiles of EMPD tissue samples to gain further insights into the disease. 
Methods: Skin biopsies from a 63-year-old male with EMPD were taken at baseline to one-year post-treatment with topical imiquimod and ingenol mebutate. Histological analysis showed dermal invasion after one year. In situ RNA hybridization categorized 31 regions into normal, non-invasive and invasive EMPD, with 16 additional areas assessed for dermal inflammation.
Results: EMPD showed mTOR overactivation and unique gene expressions associated with sweat gland cells. SPDEF (SAM Pointed Domain Containing ETS Transcription Factor) was identified as a potential biomarker. Invasive EMPD differed in transcription factors from non-invasive EMPD, with gene ontology showing a shift towards epithelial-mesenchymal transition and reactive oxygen species pathways.
Limitations: The study’s reliance on in situ RNA hybridization and spatial transcriptomics may limit detection of low-abundance transcripts.
Conclusion: Utilizing spatial transcriptomics, this study identified distinct gene expression patterns and immune responses in EMPD samples, highlighting the involvement of the mTOR pathway, and transcription factors.
DOI: 10.17632/5jd5925n2w.1
title: Longitudinal integrated spatial transcriptomic analysis of primary extramammary Paget’s disease

description: Background: Extramammary Paget’s disease (EMPD), a rare skin condition affecting inguinal and genital areas, has unclear cellular origins and is hard to diagnosis early due to benign-looking skin lesions. 
Objectives: In this study, we sought to examine the RNA expression profiles of EMPD tissue samples to gain further insights into the disease. 
Methods: Skin biopsies from a 63-year-old male with EMPD were taken at baseline to one-year post-treatment with topical imiquimod and ingenol mebutate. Histological analysis showed dermal invasion after one year. In situ RNA hybridization categorized 31 regions into normal, non-invasive and invasive EMPD, with 16 additional areas assessed for dermal inflammation.
Results: EMPD showed mTOR overactivation and unique gene expressions associated with sweat gland cells. SPDEF (SAM Pointed Domain Containing ETS Transcription Factor) was identified as a potential biomarker. Invasive EMPD differed in transcription factors from non-invasive EMPD, with gene ontology showing a shift towards epithelial-mesenchymal transition and reactive oxygen species pathways.
Limitations: The study’s reliance on in situ RNA hybridization and spatial transcriptomics may limit detection of low-abundance transcripts.
Conclusion: Utilizing spatial transcriptomics, this study identified distinct gene expression patterns and immune responses in EMPD samples, highlighting the involvement of the mTOR pathway, and transcription factors.
DOI: 10.17632/g545zyjtn5.1
title: RADIANCE+: Answers to the Usability Test

description: This file has the answers of the participants in the usability test of RADIANCE+. The data includes the answers to the questions in the System Sustainability Score as well as additional questions relevant to RADIANCE+.
DOI: 10.15468/dl.ej634k
title: Occurrence Download

description: A dataset containing 1553 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "TaxonKey is Lepidochelys olivacea (Eschscholtz, 1829)",
 "Year 1000-2025"
 ]
}

 The dataset includes 1553 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000791-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12767245
title: Heliopora (Anthozoa: Octocorallia) Microsatellite and SNP genotypes

description: This dataset consists of microsatellite (SSR) and SNP genotype files from colonies of two Heliopora lineages collected from the Philippines. SSR genotypes are encoded as fragment size (basepairs), in Genepop format. SNP genotypes are in vcf format and consist of





unfiltered SNPs: Hcoerulea_ddRAD_152n_r50.vcf (152 colonies, 6067 SNP loci)

filtered SNPs: Hcoerulea_ddRAD_1610loc_129n.vcf (129 colonies, 1610 SNP loci)



Sample metadata is also provided for each genotype dataset (*.tsv). Variables include sample name (SampleID), collection site (PopCode), Latitude (Lat), Longitude (Long), Biogeographic Region (BioRegion), microsatellite cluster (mCluster; 1, 2 or Admixed), or SNP cluster (sCluster; 1, 2, or 3). Cluster assignments were based on coefficient of ancestry values (q), using a threshold of q > 0.9.
DOI: 10.5281/zenodo.14327697
title: [225Ac]Ac-PSMA-617 production method: Development of an efficient and reproducible radiolabelling process for establish a clinical routine production.

description: PURPOSE: Targeted Alpha Therapy show very promising clinical results in a cancer treatment and it is a superior therapeutic tool compared to chemotherapy and beta-radionuclide therapy. The use of alpha-emission, offers advantages over beta-emission due to the high linear energy transfer (LET) and the limited range in tissue. Ac-225 is an alpha emitter with a half-life of 9.92 days, which is an appropriate half-life for convenient treatment. 225Ac is introduced to tumor-targeting vectors through its complexation by a chelating moiety. On this basis, the aim of this study is to develop an 225Ac-PSMA-617 production method, assessment the efficiency and reliability of the radiosynthesis as a support for establish a clinical routine production for metastatic castration resistant prostate cancer treatment.

PROCEDURES:  PSMA-617 precursor was dissolved at 1 mM in metal-free water or DMSO 40% Different molar ratio of peptide, buffer solutions; 225AcCl3 activity and concentrations of stabilizing agent were utilized to perform a total of 21 syntheses. The complexation reaction was monitored by radio-TLC and radio-HPLC at time 0(t0’) and at 3 hours (t3h), when 221Fr and 213Bi were in Secular Equilibrium with 225Ac to establish with accuracy radiochemical purity (RCP) of radiopharmaceuticals. Stability was evaluated at 24 hours (t24h).

RESULTS: The method provided 225Ac-PSMA-617 in high radiochemical purity (>90%). The stability of [225Ac]Ac-PSMA-617 is instead influenced by the synthesis conditions.

CONCLUSIONS: the radiolabeling method employed in our experiments has demonstrated consistent reproducibility, allowing us to make a product that meets pharmaceutical-grade standards. This reproducibility is crucial as it ensures that the radiolabeled compounds maintain their integrity and efficacy throughout the production process. Greater difficulties were encountered in defining the optimal timing for quality controls, due to the unique physical properties of actinium.
DOI: 10.5281/zenodo.14873439
title: Toxicidad aguda AcP2N3

description: Oral acute toxicity of autacoid
DOI: 10.5281/zenodo.14873440
title: Toxicidad aguda AcP2N3

description: Oral acute toxicity of autacoid
DOI: 10.15468/dl.5pg7kr
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sarcohyla celata (Toal & Mendelson, 1995)"
 ]
}

 The dataset includes 88 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000793-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5uy5eu
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sarcohyla labeculata (Shannon, 1951)"
 ]
}

 The dataset includes 110 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000794-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kcys84
title: Occurrence Download

description: A dataset containing 638 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sarcohyla arborescandens (Taylor, 1939)"
 ]
}

 The dataset includes 638 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000795-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rg49tg
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sarcohyla crassa (Brocchi, 1877)"
 ]
}

 The dataset includes 64 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000796-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qpc52y
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sarcohyla hazelae (Taylor, 1940)"
 ]
}

 The dataset includes 66 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000797-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14873412
title: Raw data for "Light-driven plasmonic microrobot for nanoparticle manipulation"
DOI: 10.5281/zenodo.14873413
title: Raw data for "Light-driven plasmonic microrobot for nanoparticle manipulation"