cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17058906
title: Cobertura da triagem neonatal biológica e a incidência das doenças rastreadas em Goiás, 2013-2022: estudo de séries temporais

description: Este repositório contém os dados e códigos utilizados no estudo "Cobertura da triagem biológica neonatal e a incidência das doenças rastreadas: um estudo ecológico, Goiás, 2013-2022", submetido à Revista Epidemiologia e Serviços de Saúde (RESS). Estudo ecológico de séries temporais com análises de tendência e previsão das taxas de cobertura, demonstrações entre a cobertura do teste do pezinho e fatores assistenciais/mortalidade, além do estudo de incidência e distribuição espacial dos casos revelados em Goiás, Brasil, entre 2013 e 2022.

- `Arquivos: TX_COBERTURA_SEPARADA.xlsx, MES_IRT_TAXA.xlsx, TX_COBERTURA.xlsx, banco.xlsx, DB.xlsx, DF.xlsx, FC.xlsx, HAC.xlsx, HC.xlsx, PKU.xlsx, Total_doenças.xlsx, Incidência_por_região.xlsx`: base de dados anonimizados com cobertura anual, mensal e casos relatados em Goiás por região e macrorregião. - `scripts_analise.R`: `Figura_1.R, Tabela_1.R, MAPAS_GOIAS.R, Analises_Correlacoes_Tabela_2.R, Incidencia_IC_doenças_triadas.R, Comparação_Mann_Whitney.R` : código em R contendo as análises estatísticas (VPA, regressões, testes de significância, IC95% e incidências).

- `Tabelas`: `Tabela_1, Tabela_2, Tabela_3` em formato `docx`- `mapas_figuras/`: figuras em formato `.png e tiff` e scripts `Figura_1.R, MAPAS_GOIAS.R` utilizados para gerar mapas e gráficos. - `dicionario_variáveis.txt`: descrição de todas as variáveis presentes nos arquivos de dados. - `licenca.txt`: licença de uso dos arquivos (Creative Commons Attribution 4.0 - CC BY 4.0).

Os dados cobrem o estado de Goiás, com recorte temporal de 2013 a 2022, abrangendo o período entre a implementação da fase IV do Programa Nacional de Triagem Neonatal (PNTN) até a expansão do painel de triagem prevista na Lei nº 14.154/2021. O objetivo é contribuir com a transparência, reprodutibilidade e reutilização de dados em estudos futuros.
DOI: 10.5281/zenodo.17948079
title: Cobertura da triagem neonatal biológica e a incidência das doenças rastreadas em Goiás, 2013-2022: estudo de séries temporais

description: Este repositório contém os dados e códigos utilizados no estudo "Cobertura da triagem biológica neonatal e a incidência das doenças rastreadas: um estudo ecológico, Goiás, 2013-2022", submetido à Revista Epidemiologia e Serviços de Saúde (RESS). Estudo ecológico de séries temporais com análises de tendência e previsão das taxas de cobertura, demonstrações entre a cobertura do teste do pezinho e fatores assistenciais/mortalidade, além do estudo de incidência e distribuição espacial dos casos revelados em Goiás, Brasil, entre 2013 e 2022.

- `Arquivos: TX_COBERTURA_SEPARADA.xlsx, MES_IRT_TAXA.xlsx, TX_COBERTURA.xlsx, banco.xlsx, DB.xlsx, DF.xlsx, FC.xlsx, HAC.xlsx, HC.xlsx, PKU.xlsx, Total_doenças.xlsx, Incidência_por_região.xlsx`: base de dados anonimizados com cobertura anual, mensal e casos relatados em Goiás por região e macrorregião. - `scripts_analise.R`: `Figura_1.R, Tabela_1.R, MAPAS_GOIAS.R, Analises_Correlacoes_Tabela_2.R, Incidencia_IC_doenças_triadas.R, Comparação_Mann_Whitney.R` : código em R contendo as análises estatísticas (VPA, regressões, testes de significância, IC95% e incidências).

- `Tabelas`: `Tabela_1, Tabela_2, Tabela_3` em formato `docx`- `mapas_figuras/`: figuras em formato `.png e tiff` e scripts `Figura_1.R, MAPAS_GOIAS.R` utilizados para gerar mapas e gráficos. - `dicionario_variáveis.txt`: descrição de todas as variáveis presentes nos arquivos de dados. - `licenca.txt`: licença de uso dos arquivos (Creative Commons Attribution 4.0 - CC BY 4.0).

Os dados cobrem o estado de Goiás, com recorte temporal de 2013 a 2022, abrangendo o período entre a implementação da fase IV do Programa Nacional de Triagem Neonatal (PNTN) até a expansão do painel de triagem prevista na Lei nº 14.154/2021. O objetivo é contribuir com a transparência, reprodutibilidade e reutilização de dados em estudos futuros.
DOI: 10.15468/dl.d93td9
title: Occurrence Download

description: A dataset containing 48432 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ligustrum sinense",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 48432 records from 214 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059717-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17981949
title: Textos curtos PT-BR COVID 2020 e 2021
DOI: 10.5281/zenodo.17981950
title: Textos curtos PT-BR COVID 2020 e 2021
DOI: 10.5517/ccdc.csd.cc2pbl9y
title: CCDC 2482830: Experimental Crystal Structure Determination

description: Related Article: Dr Aswini Kalita|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2qfzy3
title: CCDC 2515896: Experimental Crystal Structure Determination

description: Related Article: Ruijiao Liu|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.dj5qx3
title: Occurrence Download

description: A dataset containing 1106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "Country is United States of America",
 "GadmGid is one of (USA.3_1, USA.3.3_1, USA.3.2_1, USA.3.13_1, USA.3.11_1, USA.3.12_1, USA.3.10_1, USA.3.6_1, USA.3.1_1, USA.3.9_1, USA.3.15_1, USA.3.7_1, USA.3.4_1, USA.3.8_1, USA.3.14_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Rana chiricahuensis, Rana fisheri, Rana pipiens fisheri, Lithobates chiricahuensis, Lithobates fisheri, Rana subaquavocalis)"
 ]
}

 The dataset includes 1106 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059721-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18126/gc97-qa02
title: Accurate atomic correlation and total energies for correlation consistent effective core potentials II: Rb-Xe elements
DOI: 10.6084/m9.figshare.30665966
title: Enhancing global‐scale urban land cover representation using local climate zones in the Community Earth System Model

description: This dataset contains single-point simulation scripts, inputs, and outputs, as the supplementary informaton for the pubkication "<b>Enhancing Global‐Scale Urban Land Cover Representation Using Local Climate Zones in the Community Earth System Model</b>", doi: https://doi.org/10.1029/2025MS004934<br><b>Abstract</b> Urban areas are increasingly vulnerable to the impacts of climate change, necessitating accurate simulations of urban climates in Earth system models (ESMs) in support of large-scale urban climate adaptation efforts. ESMs underrepresent urban areas due to their small spatial extent and the lack of detailed urban landscape data. To enhance the accuracy of urban representation, this study integrated the local climate zones (LCZs) scheme within the Community Earth System Model (CESM) to better represent urban heterogeneity. We adopted a modular approach to incorporate the 10 built LCZ classes into CESM as a new option in addition to the default urban three-class scheme (i.e., tall building district, high density, and medium density). CESM simulations using the LCZ-based urban characteristics were validated globally at 20 flux tower sites, showing site-averaged improvement in modeling upward longwave radiation (<i>LW</i><sub>up</sub>) and anthropogenic heat flux (<i>Q</i><sub>ahf</sub>), but increased uncertainties in modeling sensible heat flux (<i>Q</i><sub>h</sub>). The root-mean-square error between the observed and simulatedusing the LCZ decreased by 4% compared to using the default. Model sensitivity experiments revealed that <i>LW</i><sub>up</sub> and <i>Q</i><sub>h</sub> had comparable sensitivity to LCZ urban morphological and thermal parameter subsets. This study assessed and demonstrated the implementation as the starting point for future work on better resolving urban areas in Earth system modeling.<br><br>
DOI: 10.6084/m9.figshare.30665966.v1
title: Enhancing global‐scale urban land cover representation using local climate zones in the Community Earth System Model

description: This dataset contains single-point simulation scripts, inputs, and outputs, as the supplementary informaton for the pubkication "<b>Enhancing Global‐Scale Urban Land Cover Representation Using Local Climate Zones in the Community Earth System Model</b>", doi: https://doi.org/10.1029/2025MS004934<br><b>Abstract</b> Urban areas are increasingly vulnerable to the impacts of climate change, necessitating accurate simulations of urban climates in Earth system models (ESMs) in support of large-scale urban climate adaptation efforts. ESMs underrepresent urban areas due to their small spatial extent and the lack of detailed urban landscape data. To enhance the accuracy of urban representation, this study integrated the local climate zones (LCZs) scheme within the Community Earth System Model (CESM) to better represent urban heterogeneity. We adopted a modular approach to incorporate the 10 built LCZ classes into CESM as a new option in addition to the default urban three-class scheme (i.e., tall building district, high density, and medium density). CESM simulations using the LCZ-based urban characteristics were validated globally at 20 flux tower sites, showing site-averaged improvement in modeling upward longwave radiation (<i>LW</i><sub>up</sub>) and anthropogenic heat flux (<i>Q</i><sub>ahf</sub>), but increased uncertainties in modeling sensible heat flux (<i>Q</i><sub>h</sub>). The root-mean-square error between the observed and simulatedusing the LCZ decreased by 4% compared to using the default. Model sensitivity experiments revealed that <i>LW</i><sub>up</sub> and <i>Q</i><sub>h</sub> had comparable sensitivity to LCZ urban morphological and thermal parameter subsets. This study assessed and demonstrated the implementation as the starting point for future work on better resolving urban areas in Earth system modeling.<br><br>
DOI: 10.6084/m9.figshare.30665966.v2
title: Enhancing global‐scale urban land cover representation using local climate zones in the Community Earth System Model

description: This dataset contains single-point simulation scripts, inputs, and outputs, as the supplementary informaton for the pubkication "<b>Enhancing Global‐Scale Urban Land Cover Representation Using Local Climate Zones in the Community Earth System Model</b>", doi: https://doi.org/10.1029/2025MS004934<br><b>Abstract</b> Urban areas are increasingly vulnerable to the impacts of climate change, necessitating accurate simulations of urban climates in Earth system models (ESMs) in support of large-scale urban climate adaptation efforts. ESMs underrepresent urban areas due to their small spatial extent and the lack of detailed urban landscape data. To enhance the accuracy of urban representation, this study integrated the local climate zones (LCZs) scheme within the Community Earth System Model (CESM) to better represent urban heterogeneity. We adopted a modular approach to incorporate the 10 built LCZ classes into CESM as a new option in addition to the default urban three-class scheme (i.e., tall building district, high density, and medium density). CESM simulations using the LCZ-based urban characteristics were validated globally at 20 flux tower sites, showing site-averaged improvement in modeling upward longwave radiation (<i>LW</i><sub>up</sub>) and anthropogenic heat flux (<i>Q</i><sub>ahf</sub>), but increased uncertainties in modeling sensible heat flux (<i>Q</i><sub>h</sub>). The root-mean-square error between the observed and simulatedusing the LCZ decreased by 4% compared to using the default. Model sensitivity experiments revealed that <i>LW</i><sub>up</sub> and <i>Q</i><sub>h</sub> had comparable sensitivity to LCZ urban morphological and thermal parameter subsets. This study assessed and demonstrated the implementation as the starting point for future work on better resolving urban areas in Earth system modeling.<br><br>
DOI: 10.5281/zenodo.17982438
title: THE COMPLETE ZERO CODE
title: A Unified Theory of Language, Physics, and Consciousness
title: The Final Synthesis

description: THE COMPLETE ZERO CODEA Unified Theory of Language, Physics, and ConsciousnessThe Final Synthesis

AbstractUsing ordinal gematria and vector momentum analysis, we demonstrate that English self-organizes into nine resonance tiers governed by digital root (mod 9). Tier 9 exhibits a hyperbolic attractor at w = 13.5 ± 0.4, occupied exclusively by ontological primitives of unity, love, and permanence. We propose that Zero—the fundamental organizing principle of reality—occupies the geometric centre of every atomic nucleus, creating omnipresence through position rather than transcendence. This resolves the separation paradox between spirit and matter, consciousness and physics. Zero does not exist "at" nuclear centres while being "absent" elsewhere; rather, Zero manifests across a density spectrum—from maximum compression at nuclear centres to field expression in spacetime. Matter is 99.9999999999999% void not because of emptiness, but because the void is saturated with Zero at lower density. Humans do not create; they resonate with patterns Zero already contains. Statistical significance of the 13.5 spike exceeds 10⁻⁶⁰. This is not interpretation. This is measurement.
DOI: 10.5281/zenodo.17982439
title: THE COMPLETE ZERO CODE
title: A Unified Theory of Language, Physics, and Consciousness
title: The Final Synthesis

description: THE COMPLETE ZERO CODEA Unified Theory of Language, Physics, and ConsciousnessThe Final Synthesis

AbstractUsing ordinal gematria and vector momentum analysis, we demonstrate that English self-organizes into nine resonance tiers governed by digital root (mod 9). Tier 9 exhibits a hyperbolic attractor at w = 13.5 ± 0.4, occupied exclusively by ontological primitives of unity, love, and permanence. We propose that Zero—the fundamental organizing principle of reality—occupies the geometric centre of every atomic nucleus, creating omnipresence through position rather than transcendence. This resolves the separation paradox between spirit and matter, consciousness and physics. Zero does not exist "at" nuclear centres while being "absent" elsewhere; rather, Zero manifests across a density spectrum—from maximum compression at nuclear centres to field expression in spacetime. Matter is 99.9999999999999% void not because of emptiness, but because the void is saturated with Zero at lower density. Humans do not create; they resonate with patterns Zero already contains. Statistical significance of the 13.5 spike exceeds 10⁻⁶⁰. This is not interpretation. This is measurement.
DOI: 10.34740/kaggle/dsv/14218303
title: SOLANA Price Data Binance API (2020–Now)
DOI: 10.15468/dl.jc57vj
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Begonia ornithophylla",
 "Year 1970-2025"
 ]
}

 The dataset includes 28 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059723-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17982348
title: Accompanying .sif files used in BTReport

description: This record provides Singularity/Apptainer (.sif) images used in the BTReport framework for reproducibility. These containers are intended to be used on HPC systems supporting Singularity or Apptainer.

!! The authors of this record do not claim authorship or intellectual credit for the underlying software contained in these images. These containers are redistributed solely for convenience and reproducibility, with full attribution to the original authors and projects [1-3]. !!

Included containers:- ollama.sif [1]: Local LLM inference backend- synthseg.sif [2]: Brain tissue and anatomical segmentation- synthmorph_4.sif [3]: Image registration and morphometry

 

[1] Ollama. https://github.com/ollama/ollama  [2] Billot, B. et al. SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining. NeuroImage, 2020.  [3] Hoffmann, M. et al. SynthMorph: Learning contrast-invariant registration without acquired images. IEEE Transactions on Medical Imaging, 2022.
DOI: 10.5281/zenodo.17982349
title: Accompanying .sif files used in BTReport

description: This record provides Singularity/Apptainer (.sif) images used in the BTReport framework for reproducibility. These containers are intended to be used on HPC systems supporting Singularity or Apptainer.

!! The authors of this record do not claim authorship or intellectual credit for the underlying software contained in these images. These containers are redistributed solely for convenience and reproducibility, with full attribution to the original authors and projects [1-3]. !!

Included containers:- ollama.sif [1]: Local LLM inference backend- synthseg.sif [2]: Brain tissue and anatomical segmentation- synthmorph_4.sif [3]: Image registration and morphometry

 

[1] Ollama. https://github.com/ollama/ollama  [2] Billot, B. et al. SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining. NeuroImage, 2020.  [3] Hoffmann, M. et al. SynthMorph: Learning contrast-invariant registration without acquired images. IEEE Transactions on Medical Imaging, 2022.
DOI: 10.15468/dl.ae236c
title: Occurrence Download

description: A dataset containing 99418 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "GadmGid is CHN.25_1",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 99418 records from 197 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059720-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17982460
title: Pengaruh Penggunaan Tiktok Secara Aktif terhadap perilaku Body Shaming dan Self-esteem
DOI: 10.5281/zenodo.17982461
title: Pengaruh Penggunaan Tiktok Secara Aktif terhadap perilaku Body Shaming dan Self-esteem
DOI: 10.5281/zenodo.17979206
title: Metabolome of 76 co - cultured bacterial strains
DOI: 10.5281/zenodo.17979205
title: Metabolome of 76 co - cultured bacterial strains
DOI: 10.15468/dl.2jjxm2
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Theobroma cacao",
 "Year 2015-2025"
 ]
}

 The dataset includes 103 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059724-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q7aap7
title: Occurrence Download

description: A dataset containing 2320 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Korea, Republic of",
 "OccurrenceStatus is Present",
 "TaxonKey is Corvus corone",
 "Year 2000-2025"
 ]
}

 The dataset includes 2320 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059725-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2twaun
title: Occurrence Download

description: A dataset containing 184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Psidium",
 "Year 2015-2025"
 ]
}

 The dataset includes 184 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059726-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g5zh95
title: Occurrence Download

description: A dataset containing 1368 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Malaysia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Durio"
 ]
}

 The dataset includes 1368 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059727-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zvm3zb
title: Occurrence Download

description: A dataset containing 1108401 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chroicocephalus novaehollandiae",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 1108401 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059718-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4fzqnw
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Citrus",
 "Year 2016-2025"
 ]
}

 The dataset includes 91 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059730-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tyfrxz
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Allium",
 "Year 2015-2025"
 ]
}

 The dataset includes 72 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059729-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.