cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2a4nz2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lepomis macrochirus, Micropterus dolomieu, Chetia brevis, Oreochromis andersonii, Serranochromis robustus, Tilapia sparrmanii, Amphilius uranoscopus, Clarias ngamensis, Clarias theodorae, Synodontis zambezensis, Protopterus annectens, Coptodon rendalli, Engraulicypris gariepinus, Lacustricola katangae, Lacustricola myaposae, Micropterus floridanus, Amphilius natalensis, Anguilla mossambica, Chetia flaviventris, Anguilla bengalensis, Anguilla marmorata, Brycinus lateralis, Enteromius gurneyi, Labeobarbus kimberleyensis, Opsaridium peringueyi, Salmo trutta, Pseudobarbus trevelyani, Pseudobarbus serra, Coptodon zillii, Labeobarbus seeberi, Barbus hospes, Pangasius sanitwongsei, Poecilia reticulata, Pseudobarbus afer, Pterygoplichthys disjunctivus, Salmo salar, Pseudobarbus calidus, Pseudobarbus erubescens, Serranochromis jallae, Pseudobarbus burchelli, Glossogobius callidus, Enteromius mandelai, Pseudomyxus capensis, Myxus capensis, Ambassis gymnocephalus, Ambassis productus, Sedercypris calidus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -23.2724,25.1306 -24.0715,25.5395 -24.0715,25.5395 -23.2724))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003882-250827131500795/datasets/export for details.
DOI: 10.5281/zenodo.16983295
title: Molodensky's truncation coefficients for cap integration in spectral gravity forward modelling

description: Provided are Molodensky's truncation coefficients for cap-modified spectral gravity forward modelling from the Bucha et al. (2019) study.  The coefficients are evaluated for



	
the spherical distance of \(\psi_0 = 100000\ \mathrm{m} / 6378137\ \mathrm{m}\) (100 km integration radius from the evaluation point),
	
the reference sphere having the radius \(R = 6378137\ \mathrm{m}\),




	
the radius of the evaluation point \(r = 6378137\ \mathrm{m} + 7000\ \mathrm{m}\),
	
harmonic degrees \(n=0,\dots,21600\),
	
topography powers \(p=1,\dots,30\),
	
radial derivatives \(k=0,\dots,40\), and
	
the first- and second-order horizontal derivatives.



The coefficients were computed using 256 significant digits, ensuring 24-digit accuracy or better. After the evaluation, the coefficients were converted to double precision with 16 significant digits. Importantly, in some cases, the loss of significance errors may be encountered during the spherical harmonic synthesis when using the coefficients (see the reference below).


Bucha, B., Hirt, C., Kuhn, M., 2019. Cap integration in spectral gravity forward modelling up to the full gravity tensor. Journal of Geodesy, https://doi.org/10.1007/s00190-019-01277-3.
DOI: 10.15468/dl.4kcfet
title: Occurrence Download

description: A dataset containing 1 records in GBIF matching the query:
SELECT COUNT(DISTINCT publisher) AS publisher_count
 FROM occurrence;

 The dataset's 1 records were derived from 75581 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003867-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yaccyn
title: Occurrence Download

description: A dataset containing 4953 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ilex rotunda"
 ]
}

 The dataset includes 4953 records from 159 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003883-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6uks2j
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Picea pungens",
 "Country is Armenia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003884-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.adtqdu
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pelasgus marathonicus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003885-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yybw9d
title: Occurrence Download

description: A dataset containing 209 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Picea pungens",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 209 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003887-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ekhavp
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Picea pungens",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 32 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003886-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wkkt73
title: Occurrence Download

description: A dataset containing 1065 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lepomis macrochirus, Micropterus dolomieu, Chetia brevis, Oreochromis andersonii, Serranochromis robustus, Tilapia sparrmanii, Amphilius uranoscopus, Clarias ngamensis, Clarias theodorae, Synodontis zambezensis, Protopterus annectens, Coptodon rendalli, Engraulicypris gariepinus, Lacustricola katangae, Lacustricola myaposae, Micropterus floridanus, Amphilius natalensis, Anguilla mossambica, Chetia flaviventris, Anguilla bengalensis, Anguilla marmorata, Brycinus lateralis, Enteromius gurneyi, Labeobarbus kimberleyensis, Opsaridium peringueyi, Salmo trutta, Pseudobarbus trevelyani, Pseudobarbus serra, Coptodon zillii, Labeobarbus seeberi, Barbus hospes, Pangasius sanitwongsei, Poecilia reticulata, Pseudobarbus afer, Pterygoplichthys disjunctivus, Salmo salar, Pseudobarbus calidus, Pseudobarbus erubescens, Serranochromis jallae, Pseudobarbus burchelli, Glossogobius callidus, Enteromius mandelai, Pseudomyxus capensis, Myxus capensis, Ambassis gymnocephalus, Ambassis productus, Sedercypris calidus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.2855 -34.7533,20.509 -34.5676,20.509 -32.9007,17.7723 -32.9007,17.8156 -33.0786,18.3471 -33.7176,18.3748 -33.8287,18.2181 -34.0492,18.3197 -34.3408,18.4452 -34.429,18.5435 -34.4213,18.5872 -34.3667,18.5363 -34.167,18.7345 -34.1508,18.7216 -34.3637,18.7808 -34.4521,19.0289 -34.4206,19.0831 -34.4835,19.2655 -34.5017,19.2032 -34.6157,19.2394 -34.6926,19.375 -34.6963,19.6091 -34.8524,19.8251 -34.8396,19.9798 -34.9064,20.1081 -34.8731,20.1517 -34.7847,20.2855 -34.7533))"
 ]
}

 The dataset includes 1065 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003888-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16983570
title: Validation of C3S SM combined v202312 vs C3S SM combined v202505 vs ISMN 20250617 global

description: QA4SM validation: C3S SM combined v202312 vs C3S SM combined v202505 vs ISMN 20250617 global. URL: https://qa4sm.eu/ui/validation-result/bb40d46d-6df1-4e94-8ed3-36a5738cb1b1. Produced on QA4SM (https://qa4sm.eu)
DOI: 10.5281/zenodo.16983571
title: Validation of C3S SM combined v202312 vs C3S SM combined v202505 vs ISMN 20250617 global

description: QA4SM validation: C3S SM combined v202312 vs C3S SM combined v202505 vs ISMN 20250617 global. URL: https://qa4sm.eu/ui/validation-result/bb40d46d-6df1-4e94-8ed3-36a5738cb1b1. Produced on QA4SM (https://qa4sm.eu)
DOI: 10.5281/zenodo.16983430
title: Questionário e Dados da Pesquisa: Percepção de Segurança no Paraná (2025)

description: Este artigo analisa a percepção de segurança pública da população do estado do Paraná em 2025, investigando suas variações demográficas e geográficas em um cenário de acentuada queda nos índices oficiais de criminalidade. Para tanto, realizou-se um inquérito online (survey) com 972 residentes do estado, utilizando um questionário estruturado. A coleta de dados empregou uma inovadora estratégia de gamificação, com a exibição de um painel de resultados em tempo real para aumentar o engajamento dos participantes. Os resultados indicam que a percepção de segurança é predominantemente "Boa" (43,52%) ou "Regular" (32,82%), não refletindo a magnitude da redução nos crimes registrados. A análise estratificada revelou uma correlação negativa entre o porte do município e a percepção de segurança, com os grandes centros urbanos e o gênero feminino apresentando uma sensação de insegurança significativamente maior. O estudo corrobora a tese do "paradoxo do medo do crime" para o contexto paranaense e valida uma metodologia de alto engajamento para pesquisas sociais online.
DOI: 10.5281/zenodo.16983431
title: Questionário e Dados da Pesquisa: Percepção de Segurança no Paraná (2025)

description: Este artigo analisa a percepção de segurança pública da população do estado do Paraná em 2025, investigando suas variações demográficas e geográficas em um cenário de acentuada queda nos índices oficiais de criminalidade. Para tanto, realizou-se um inquérito online (survey) com 972 residentes do estado, utilizando um questionário estruturado. A coleta de dados empregou uma inovadora estratégia de gamificação, com a exibição de um painel de resultados em tempo real para aumentar o engajamento dos participantes. Os resultados indicam que a percepção de segurança é predominantemente "Boa" (43,52%) ou "Regular" (32,82%), não refletindo a magnitude da redução nos crimes registrados. A análise estratificada revelou uma correlação negativa entre o porte do município e a percepção de segurança, com os grandes centros urbanos e o gênero feminino apresentando uma sensação de insegurança significativamente maior. O estudo corrobora a tese do "paradoxo do medo do crime" para o contexto paranaense e valida uma metodologia de alto engajamento para pesquisas sociais online.
DOI: 10.15468/dl.frpt5t
title: Occurrence Download

description: A dataset containing 636 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aquilaria sinensis"
 ]
}

 The dataset includes 636 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003890-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c34c75
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Picea pungens",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 76 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003893-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16983607
title: Validation of C3S SM combined v202505 vs C3S SM combined v202312 vs C3S SM combined v202212 vs C3S SM combined v202012 vs ERA5-Land latest vs ISMN 20250617 global

description: QA4SM validation: C3S SM combined v202505 vs C3S SM combined v202312 vs C3S SM combined v202212 vs C3S SM combined v202012 vs ERA5-Land latest vs ISMN 20250617 global. URL: https://qa4sm.eu/ui/validation-result/7341cfd9-2556-4fb9-86f7-a32fe579d393. Produced on QA4SM (https://qa4sm.eu)
DOI: 10.5281/zenodo.16983608
title: Validation of C3S SM combined v202505 vs C3S SM combined v202312 vs C3S SM combined v202212 vs C3S SM combined v202012 vs ERA5-Land latest vs ISMN 20250617 global

description: QA4SM validation: C3S SM combined v202505 vs C3S SM combined v202312 vs C3S SM combined v202212 vs C3S SM combined v202012 vs ERA5-Land latest vs ISMN 20250617 global. URL: https://qa4sm.eu/ui/validation-result/7341cfd9-2556-4fb9-86f7-a32fe579d393. Produced on QA4SM (https://qa4sm.eu)
DOI: 10.15468/dl.ecb54v
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Picea pungens",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 154 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003892-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24435/materialscloud:4w-5x
title: Reproducible HPC software deployments, simulations and workflows

description: Reproducibility in running scientific simulations on high-performance computing (HPC) environments is a persistent challenge due to variations in software and hardware stacks. Differences in software versions or hardware-specific optimizations often lead to discrepancies in simulation outputs. While Linux containers are commonly used to standardize software environments, tools like Docker lack reproducibility in image creation, requiring archiving of binary image blobs for future use. This method turns containers into black boxes, preventing verification of how the contained software was built.

In the linked paper, we demonstrate how we use GNU Guix to create our software stack bit-by-bit reproducible from a source bootstrap. Our approach incorporates a portable OpenMPI implementation, optimized software builds, and deployment via Apptainer images across three HPC environments. We show that our reproducible software stack facilitates consistent multi-physics simulations and complex workflows on diverse HPC platforms, exemplified by the OpenGeoSys software project. To ensure provenance of our findings, we utilized the AiiDA workflow manager.

This dataset includes the complete AiiDA provenance database underlying the results presented in the paper. The AiiDA workflow itself is defined in and can be reproduced with this repository: https://gitlab.opengeosys.org/bilke/hpc-container-study.

Version 1 of this record did not use optimized packages (Guix `--tune` option was not passed properly). This has been fixed in version 2 of this record.
DOI: 10.24435/materialscloud:wz-j9
title: Reproducible HPC software deployments, simulations and workflows

description: Reproducibility in running scientific simulations on high-performance computing (HPC) environments is a persistent challenge due to variations in software and hardware stacks. Differences in software versions or hardware-specific optimizations often lead to discrepancies in simulation outputs. While Linux containers are commonly used to standardize software environments, tools like Docker lack reproducibility in image creation, requiring archiving of binary image blobs for future use. This method turns containers into black boxes, preventing verification of how the contained software was built.

In the linked paper, we demonstrate how we use GNU Guix to create our software stack bit-by-bit reproducible from a source bootstrap. Our approach incorporates a portable OpenMPI implementation, optimized software builds, and deployment via Apptainer images across three HPC environments. We show that our reproducible software stack facilitates consistent multi-physics simulations and complex workflows on diverse HPC platforms, exemplified by the OpenGeoSys software project. To ensure provenance of our findings, we utilized the AiiDA workflow manager.

This dataset includes the complete AiiDA provenance database underlying the results presented in the paper. The AiiDA workflow itself is defined in and can be reproduced with this repository: https://gitlab.opengeosys.org/bilke/hpc-container-study.

Version 1 of this record did not use optimized packages (Guix `--tune` option was not passed properly). This has been fixed in version 2 of this record.
DOI: 10.15468/dl.2w8znm
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Colletoecema magna"
 ]
}

 The dataset includes 56 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003891-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xzej4u
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Picea pungens",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 125 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003894-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16982329
title: Genetic and species beta diversity - Caribbean vs. Indian Ocean
DOI: 10.5281/zenodo.16982328
title: Genetic and species beta diversity - Caribbean vs. Indian Ocean
DOI: 10.15468/dl.vcy8q9
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Metaloricaria nijsseni)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003895-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16965205
title: Coordinated epigenetic dysregulation of CNR1 and FAAH genes drives endocannabinoid system dysfunction in Anorexia Nervosa

description: This dataset accompanies the manuscript titled "Coordinated epigenetic dysregulation of CNR1 and FAAH genes drives endocannabinoid system dysfunction in Anorexia Nervosa" and includes molecular data and analysis code used in the study. The data were generated from saliva samples of individual diagnosed with Anorexia Nervosa (AN) and matched healthy controls (CTRL), and focus on the epigenetic regulation of the CNR1 and FAAH genes.

Dataset S1 - Demographic and clinical data - DatasetS1_demographic_clinical_data_participants.xlsx

Containes demographic and clinical information for study participants. The "Group" column indicates whether each subject is a control (CTRL) or an anorexia nervosa patient (AN). BMI (Body Mass Index) is reported in kg/m2. "Age of onset" indicates age at AN diagnosis (years).

 

Dataset S2 - DNA methylation data - DatasetS2_DNAmethylation.xlsx

Reports percent methylation values (0-100%) at individual CpG sites whithin the promoter regions of the CNR1 and FAAH genes. Includes average methylation (AVE) across all CpG sites per gene, stratified by control and AN groups.

 

Dataset S3 - SNP genotyping - DatasetS3_SNP_analysis.xlsx

List of allele calls for SNPs rs1049353 (CNR1) and rs324420 /FAAH) in CTRL and AN samples.

 

Dataset S4 - miRNA expression - DatasetS4_miRNA_expression.xlsx

Provides log2 fold change (log2FC) values for miRNA predicted to target CNR1 (miR-16-2-5p, miR-342-3p, miR-23b-3p, miR-212-3p) and FAAH (miR-4505, miR-1275, miR-664b-5p, miR-4270) in CTRL and AN samples. Missing values indicate individual miRNA measurements excluded due to quality control criteria (delayed reference miRNA amplification).

 

RCode - Transcritption factors binding site analysis - Rcode_TF.txt

R script used to identify transcription factors (TFs) whose binding may be affected by differentially methylated CpG sites in CNR1 and FAAH genes. The script performs motif scanning using the JASPAR2024 database via the JASPAR2024 R package (DOI: 10.18129/B9.bioc.JASPAR2024). It includes a multi-step filtering strategy to select TFs with CpG-sensitive motifs and high conservation scores (≥ 0.8) at relevant CpG positions.
DOI: 10.5281/zenodo.16965204
title: Coordinated epigenetic dysregulation of CNR1 and FAAH genes drives endocannabinoid system dysfunction in Anorexia Nervosa

description: This dataset accompanies the manuscript titled "Coordinated epigenetic dysregulation of CNR1 and FAAH genes drives endocannabinoid system dysfunction in Anorexia Nervosa" and includes molecular data and analysis code used in the study. The data were generated from saliva samples of individual diagnosed with Anorexia Nervosa (AN) and matched healthy controls (CTRL), and focus on the epigenetic regulation of the CNR1 and FAAH genes.

Dataset S1 - Demographic and clinical data - DatasetS1_demographic_clinical_data_participants.xlsx

Containes demographic and clinical information for study participants. The "Group" column indicates whether each subject is a control (CTRL) or an anorexia nervosa patient (AN). BMI (Body Mass Index) is reported in kg/m2. "Age of onset" indicates age at AN diagnosis (years).

 

Dataset S2 - DNA methylation data - DatasetS2_DNAmethylation.xlsx

Reports percent methylation values (0-100%) at individual CpG sites whithin the promoter regions of the CNR1 and FAAH genes. Includes average methylation (AVE) across all CpG sites per gene, stratified by control and AN groups.

 

Dataset S3 - SNP genotyping - DatasetS3_SNP_analysis.xlsx

List of allele calls for SNPs rs1049353 (CNR1) and rs324420 /FAAH) in CTRL and AN samples.

 

Dataset S4 - miRNA expression - DatasetS4_miRNA_expression.xlsx

Provides log2 fold change (log2FC) values for miRNA predicted to target CNR1 (miR-16-2-5p, miR-342-3p, miR-23b-3p, miR-212-3p) and FAAH (miR-4505, miR-1275, miR-664b-5p, miR-4270) in CTRL and AN samples. Missing values indicate individual miRNA measurements excluded due to quality control criteria (delayed reference miRNA amplification).

 

RCode - Transcritption factors binding site analysis - Rcode_TF.txt

R script used to identify transcription factors (TFs) whose binding may be affected by differentially methylated CpG sites in CNR1 and FAAH genes. The script performs motif scanning using the JASPAR2024 database via the JASPAR2024 R package (DOI: 10.18129/B9.bioc.JASPAR2024). It includes a multi-step filtering strategy to select TFs with CpG-sensitive motifs and high conservation scores (≥ 0.8) at relevant CpG positions.