cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.kgmmg6
title: Occurrence Download

description: A dataset containing 493 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Saint Martin (French part)",
 "DatasetKey is Naturalis Biodiversity Center (NL) - Mollusca",
 "Year 1900-1999"
 ]
}

 The dataset includes 493 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021746-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kgmvgh
title: Occurrence Download

description: A dataset containing 6211 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((15.97144 47.30797,44.14345 47.30797,44.14345 58.55797,15.97144 58.55797,15.97144 47.30797))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Larix decidua Mill."
 ]
}

 The dataset includes 6211 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021747-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28171337
title: Forecasting for second-hand house prices in China using the GA-PSO-BP neural-network model. (Excel Dataset and Python Code)

description: The study highlights the model's effectiveness in forecasting prices for second-hand houses, particularly in rapidly growing urban areas like Guangzhou. This research provides accurate and reliable insights for real estate investors considering second-hand housing markets in China.The above attachments contain the data set and the final Python code for the research work
DOI: 10.15468/dl.dvefzj
title: Occurrence Download

description: A dataset containing 338 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-41.488 -11.102,-41.376 -11.102,-41.376 -10.936,-41.488 -10.936,-41.488 -11.102))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 338 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021748-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7044850
title: Database of Tailings Deposits and Multidimensional Poverty in Chile

description: Exploratory database that links the multidimensional poverty averages of municipalities, together with the number of Mine Tailings they own.
DOI: 10.5281/zenodo.7044851
title: Database of Tailings Deposits and Multidimensional Poverty in Chile

description: Exploratory database that links the multidimensional poverty averages of municipalities, together with the number of Mine Tailings they own.
DOI: 10.15468/dl.7hpbgr
title: Occurrence Download

description: A dataset containing 40942 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Saint Martin (French part)",
 "DatasetKey is EOD – eBird Observation Dataset"
 ]
}

 The dataset includes 40942 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021749-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ar9vjf
title: Occurrence Download

description: A dataset containing 332 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-41.488 -11.102,-41.376 -11.102,-41.376 -10.936,-41.488 -10.936,-41.488 -11.102))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1000-2025"
 ]
}

 The dataset includes 332 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021750-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14841104
title: Panorama do Acesso Aberto na América Latina

description: O arquivo contém uma análise detalhada sobre o panorama dos periódicos em Acesso Aberto na América Latina, dividida em três planilhas principais, que exploram diferentes aspectos desse tema.

A primeira planilha, intitulada "Acesso aberto e América Latina", reúne informações sobre artigos acadêmicos e periódicos relacionados ao Acesso Aberto na região. Os dados incluem o título dos trabalhos, autores, referências completas, resumos e links para acesso às publicações. Essa planilha também destaca os artigos já utilizados em capítulos de livros ou sinalizados para exclusão. O objetivo principal é oferecer uma visão ampla sobre as publicações científicas que abordam a temática de Acesso Aberto em diferentes áreas do conhecimento.

A segunda planilha, "Acceso abierto E America Latina", é uma versão em espanhol da anterior, adaptada para o público hispanófono. Ela mantém a estrutura e o foco na análise de artigos acadêmicos, mas apresenta títulos, resumos e referências traduzidos ou contextualizados no idioma espanhol. Além disso, inclui notas sobre critérios de exclusão de artigos que não atendem aos objetivos específicos da pesquisa, enriquecendo a perspectiva regional sobre o tema.

A última planilha, "DOAJ (Directory of Open Access Journals)", apresenta uma análise quantitativa dos periódicos indexados no DOAJ, com destaque para os países da América Latina. Os dados incluem o número total de periódicos por país, a quantidade de publicações que não cobram taxas de processamento de artigos (sem APC) e as que possuem cobrança (com APC). Também são fornecidos percentuais que mostram a representatividade de cada país no contexto regional e a proporção de periódicos com e sem taxas. Essa planilha oferece uma visão comparativa clara sobre a distribuição e características dos periódicos em Acesso Aberto na região.

De forma geral, o arquivo é uma ferramenta abrangente que combina informações bibliográficas e métricas quantitativas, permitindo uma análise aprofundada do cenário do Acesso Aberto na América Latina. Ele destaca as iniciativas regionais, diferenças entre países e desafios enfrentados na adoção de modelos de publicação científica aberta.
DOI: 10.5281/zenodo.14841105
title: Panorama do Acesso Aberto na América Latina

description: O arquivo contém uma análise detalhada sobre o panorama dos periódicos em Acesso Aberto na América Latina, dividida em três planilhas principais, que exploram diferentes aspectos desse tema.

A primeira planilha, intitulada "Acesso aberto e América Latina", reúne informações sobre artigos acadêmicos e periódicos relacionados ao Acesso Aberto na região. Os dados incluem o título dos trabalhos, autores, referências completas, resumos e links para acesso às publicações. Essa planilha também destaca os artigos já utilizados em capítulos de livros ou sinalizados para exclusão. O objetivo principal é oferecer uma visão ampla sobre as publicações científicas que abordam a temática de Acesso Aberto em diferentes áreas do conhecimento.

A segunda planilha, "Acceso abierto E America Latina", é uma versão em espanhol da anterior, adaptada para o público hispanófono. Ela mantém a estrutura e o foco na análise de artigos acadêmicos, mas apresenta títulos, resumos e referências traduzidos ou contextualizados no idioma espanhol. Além disso, inclui notas sobre critérios de exclusão de artigos que não atendem aos objetivos específicos da pesquisa, enriquecendo a perspectiva regional sobre o tema.

A última planilha, "DOAJ (Directory of Open Access Journals)", apresenta uma análise quantitativa dos periódicos indexados no DOAJ, com destaque para os países da América Latina. Os dados incluem o número total de periódicos por país, a quantidade de publicações que não cobram taxas de processamento de artigos (sem APC) e as que possuem cobrança (com APC). Também são fornecidos percentuais que mostram a representatividade de cada país no contexto regional e a proporção de periódicos com e sem taxas. Essa planilha oferece uma visão comparativa clara sobre a distribuição e características dos periódicos em Acesso Aberto na região.

De forma geral, o arquivo é uma ferramenta abrangente que combina informações bibliográficas e métricas quantitativas, permitindo uma análise aprofundada do cenário do Acesso Aberto na América Latina. Ele destaca as iniciativas regionais, diferenças entre países e desafios enfrentados na adoção de modelos de publicação científica aberta.
DOI: 10.5281/zenodo.7157683
title: Database of Research about Tailings Deposits in Chile

description: The database contains information on articles on Mining Tailings that address the case of Chile.
DOI: 10.5281/zenodo.8106156
title: Database of Research about Tailings Deposits in Chile

description: The database contains information on articles on Mining Tailings that address the case of Chile.
DOI: 10.15468/dl.282b8q
title: Occurrence Download

description: A dataset containing 18213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "Geometry POLYGON((-5.24587 36.80174,-5.67741 36.84584,-6.29258 36.80909,-6.66902 36.77968,-6.58639 36.42588,-6.29258 36.18911,-5.89777 36.12239,-5.59477 36.27798,-5.19996 36.51448,-5.24587 36.80174))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 18213 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021751-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bjtfta
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Morocco",
 "TaxonKey is Salmo trutta macrostigma (Duméril, 1858)"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021752-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8106169
title: Database of International Research about Mine Tailings

description: The database contains information of international articles on Mining Tailings
DOI: 10.5281/zenodo.8106170
title: Database of International Research about Mine Tailings

description: The database contains information of international articles on Mining Tailings
DOI: 10.5281/zenodo.14766799
title: Database of hydroelectric energy plants in central and southern Chile (2018)
title: Base de dados de centrais hidroeléctricas no centro e sul do Chile.
title: Base de datos de centrales hidroeléctricas del centro y sur de Chile

description: We developed a database on hydroelectric infrastructures in south-central Chile. We retrieved the database of the Ministry of Energy and then fed this database with an external review (2018).
DOI: 10.5281/zenodo.14766800
title: Database of hydroelectric energy plants in central and southern Chile (2018)
title: Base de dados de centrais hidroeléctricas no centro e sul do Chile.
title: Base de datos de centrales hidroeléctricas del centro y sur de Chile

description: We developed a database on hydroelectric infrastructures in south-central Chile. We retrieved the database of the Ministry of Energy and then fed this database with an external review (2018).
DOI: 10.15468/dl.eedy4h
title: Occurrence Download

description: A dataset containing 46860957 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Switzerland, Portugal)",
 "MediaType is null"
 ]
}

 The dataset includes 46860957 records from 2602 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021737-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26693173
title: Additional file 22 of A novel pan-PI3K inhibitor KTC1101 synergizes with anti-PD-1 therapy by targeting tumor suppression and immune activation

description: Supplementary Material 22.
DOI: 10.6084/m9.figshare.26693173.v1
title: Additional file 22 of A novel pan-PI3K inhibitor KTC1101 synergizes with anti-PD-1 therapy by targeting tumor suppression and immune activation

description: Supplementary Material 22.
DOI: 10.6084/m9.figshare.26693176
title: Additional file 23 of A novel pan-PI3K inhibitor KTC1101 synergizes with anti-PD-1 therapy by targeting tumor suppression and immune activation

description: Supplementary Material 23.
DOI: 10.6084/m9.figshare.26693176.v1
title: Additional file 23 of A novel pan-PI3K inhibitor KTC1101 synergizes with anti-PD-1 therapy by targeting tumor suppression and immune activation

description: Supplementary Material 23.
DOI: 10.6084/m9.figshare.26693179
title: Additional file 24 of A novel pan-PI3K inhibitor KTC1101 synergizes with anti-PD-1 therapy by targeting tumor suppression and immune activation

description: Supplementary Material 24.
DOI: 10.6084/m9.figshare.26693179.v1
title: Additional file 24 of A novel pan-PI3K inhibitor KTC1101 synergizes with anti-PD-1 therapy by targeting tumor suppression and immune activation

description: Supplementary Material 24.
DOI: 10.6084/m9.figshare.26693182
title: Additional file 25 of A novel pan-PI3K inhibitor KTC1101 synergizes with anti-PD-1 therapy by targeting tumor suppression and immune activation

description: Supplementary Material 25.
DOI: 10.6084/m9.figshare.26693182.v1
title: Additional file 25 of A novel pan-PI3K inhibitor KTC1101 synergizes with anti-PD-1 therapy by targeting tumor suppression and immune activation

description: Supplementary Material 25.
DOI: 10.6084/m9.figshare.26573455
title: Additional file 2 of Acute stress reduces population-level metabolic and proteomic variation

description: Additional file 2. Table S1. Protein CVs. Table S2. Data set details. Table S3. Metabolomics workbench search.
DOI: 10.15468/dl.kcgmbs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.65921 -32.795935, 148.65921 -32.798181, 148.661456 -32.798181, 148.661456 -32.795935, 148.65921 -32.795935)), ((148.661456 -32.798181, 148.661456 -32.804918, 148.665947 -32.804918, 148.665947 -32.798181, 148.661456 -32.798181)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067629-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26612405.v1
title: Additional file 1 of Vitamin D and idiopathic pulmonary fibrosis: a two-sample mendelian randomization study

description: Additional file 1: IVs for circulating 25(OH)D levels.
DOI: 10.15468/dl.kt6y2b
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Myrmecophaga tridactyla Linnaeus, 1758"
 ]
}

 The dataset includes 73 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067630-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.69w3w3
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.439122 -32.802672, 148.443613 -32.802672, 148.443613 -32.798181, 148.445859 -32.798181, 148.445859 -32.791443, 148.450351 -32.791443, 148.450351 -32.78246, 148.445859 -32.78246, 148.445859 -32.789197, 148.443613 -32.789197, 148.443613 -32.795935, 148.439122 -32.795935, 148.439122 -32.802672)), ((148.439122 -32.802672, 148.436876 -32.802672, 148.436876 -32.798181, 148.432384 -32.798181, 148.432384 -32.802672, 148.43463 -32.802672, 148.43463 -32.804918, 148.439122 -32.804918, 148.439122 -32.802672)), ((148.445859 -32.798181, 148.445859 -32.802672, 148.450351 -32.802672, 148.450351 -32.798181, 148.445859 -32.798181)), ((148.450351 -32.802672, 148.450351 -32.804918, 148.452596 -32.804918, 148.452596 -32.802672, 148.450351 -32.802672)))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067631-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.24022749
title: Additional file 1 of CRISPR/dCAS9-mediated DNA demethylation screen identifies functional epigenetic determinants of colorectal cancer

description: Additional file 1: Table S1. Clinico-biological features of the tumour and control samples used in this study.
DOI: 10.6084/m9.figshare.24022761.v1
title: Additional file 4 of CRISPR/dCAS9-mediated DNA demethylation screen identifies functional epigenetic determinants of colorectal cancer

description: Additional file 4: Table S4. Histone mark enrichment analysis of common DMPs in colorectal-related tissues and embryonic stem cells from the Roadmap and ENCODE consortia.
DOI: 10.6084/m9.figshare.24022767.v1
title: Additional file 6 of CRISPR/dCAS9-mediated DNA demethylation screen identifies functional epigenetic determinants of colorectal cancer

description: Additional file 6: Table S6. List of CpG sites displaying robust correlation (&gt;0.5 Pearson corr) between DNA methylation and gene expression in TCGA-COAD as calculated by the R/Bioconductor ELMER package.
DOI: 10.5281/zenodo.13324398
title: Rapid mapping of flood inundation by deep learning-based image super-resolution

description: # Rapid mapping of flood inundation by deep learning-based image super-resolution

# Developer: Wenke Song

# The University of Hong Kong

# Contact email: songwk@connect.hku.hk

# MIT License

# Copyright (c) 2024 songwk0924

 

There are two folders in the compressed file: Trained_model and Test_cases:

(1) Trained_model

      model_d_DenseUnet.pth, for predicting the maximum water depth;

      model_v_DenseUnet.pth, for predicting the maximum velocity.

 

(2) Test_cases

      Test_d_r1.npy, Test_d_r2.npy, Test_d_r3.npy: Input features for predicting maximum water depth of rainfall events r1-r3;

      Test_v_r1.npy, Test_v_r2.npy, Test_v_r3.npy: Input features for predicting maximum velocity of rainfall events r1-r3;

 


      bathy_mat_5m_0p.csv: Elevation data to create mask layer;

      Fine_grid_flood_maps (2DSWEs):

             hmax_r1.asc, hmax_r2.asc, hmax_r3.asc, maximum water depth simulated by 2DSWEs of rainfall events r1-r3;

             velmax_r1.asc, velmax_r2.asc, velmax_r3.asc, maximum velocity simulated by 2DSWEs of rainfall events r1-r3;

 

The aforementioned data will be used as input for model prediction (Prediction.py). 

https://github.com/songwk0924/Flood-inundation-mapping
DOI: 10.5281/zenodo.13324399
title: Rapid mapping of flood inundation by deep learning-based image super-resolution

description: # Rapid mapping of flood inundation by deep learning-based image super-resolution

# Developer: Wenke Song

# The University of Hong Kong

# Contact email: songwk@connect.hku.hk

# MIT License

# Copyright (c) 2024 songwk0924

 

There are two folders in the compressed file: Trained_model and Test_cases:

(1) Trained_model

      model_d_DenseUnet.pth, for predicting the maximum water depth;

      model_v_DenseUnet.pth, for predicting the maximum velocity.

 

(2) Test_cases

      Test_d_r1.npy, Test_d_r2.npy, Test_d_r3.npy: Input features for predicting maximum water depth of rainfall events r1-r3;

      Test_v_r1.npy, Test_v_r2.npy, Test_v_r3.npy: Input features for predicting maximum velocity of rainfall events r1-r3;

 


      bathy_mat_5m_0p.csv: Elevation data to create mask layer;

      Fine_grid_flood_maps (2DSWEs):

             hmax_r1.asc, hmax_r2.asc, hmax_r3.asc, maximum water depth simulated by 2DSWEs of rainfall events r1-r3;

             velmax_r1.asc, velmax_r2.asc, velmax_r3.asc, maximum velocity simulated by 2DSWEs of rainfall events r1-r3;

 

The aforementioned data will be used as input for model prediction (Prediction.py). 

https://github.com/songwk0924/Flood-inundation-mapping
DOI: 10.6084/m9.figshare.26693311
title: Additional file 1 of Deep learning algorithms for predicting renal replacement therapy initiation in CKD patients: a retrospective cohort study

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.26693311.v1
title: Additional file 1 of Deep learning algorithms for predicting renal replacement therapy initiation in CKD patients: a retrospective cohort study

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.26573509
title: Additional file 2 of Emotional and informational social support from health visitors and breastfeeding outcomes in the UK

description: Additional file 2.
DOI: 10.6084/m9.figshare.26573509.v1
title: Additional file 2 of Emotional and informational social support from health visitors and breastfeeding outcomes in the UK

description: Additional file 2.
DOI: 10.15468/dl.jnrqz3
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Myanmar",
 "TaxonKey is one of (Lantana camara L., Ipomoea triloba L., Ipomoea mauritiana Jacq., Ipomoea cairica (L.) Sweet, Ipomoea nil (L.) Roth, Ipomoea hederacea Jacq., Ipomoea indica (Burm.) Merr., Ipomoea purpurea (L.) Roth, Ipomoea quamoclit L., Ipomoea alba L., Evolvulus nummularius (L.) L., Cuscuta campestris Yunck., Spermacoce remota Lam., Spermacoce alata Aubl., Mitracarpus hirtus (L.) DC., Asclepias curassavica L., Catharanthus roseus (L.) G.Don, Cyclospermum leptophyllum (Pers.) Sprague, Daucus carota L., Eryngium foetidum L.)"
 ]
}

 The dataset includes 126 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067632-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.24022755
title: Additional file 2 of CRISPR/dCAS9-mediated DNA demethylation screen identifies functional epigenetic determinants of colorectal cancer

description: Additional file 2: Table S2. List of differentially methylated CpGs identified in each of the cohorts used in this study.
DOI: 10.6084/m9.figshare.24022767
title: Additional file 6 of CRISPR/dCAS9-mediated DNA demethylation screen identifies functional epigenetic determinants of colorectal cancer

description: Additional file 6: Table S6. List of CpG sites displaying robust correlation (&gt;0.5 Pearson corr) between DNA methylation and gene expression in TCGA-COAD as calculated by the R/Bioconductor ELMER package.
DOI: 10.6084/m9.figshare.26612405
title: Additional file 1 of Vitamin D and idiopathic pulmonary fibrosis: a two-sample mendelian randomization study

description: Additional file 1: IVs for circulating 25(OH)D levels.
DOI: 10.6084/m9.figshare.24022758
title: Additional file 3 of CRISPR/dCAS9-mediated DNA demethylation screen identifies functional epigenetic determinants of colorectal cancer

description: Additional file 3: Table S3. Statistics related to enrichment analyses of common DMPs at TFBS from the GTRD database.
DOI: 10.6084/m9.figshare.24022764
title: Additional file 5 of CRISPR/dCAS9-mediated DNA demethylation screen identifies functional epigenetic determinants of colorectal cancer

description: Additional file 5: Table S5. Chromatin state enrichment analysis of common DMPs in colorectal-related tissues and embryonic stem cells from the Roadmap and ENCODE consortia.