cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30507269
title: Supplementary Material for: Association between blood pressure and digestive tract cancers in European and Asian populations: A two-sample Mendelian randomization study

description: Objective: To examine the causal relationship between blood pressure and digestive tract cancers in European and Asian populations using Mendelian randomization (MR).
Methods: Summary statistics for blood pressure traits and digestive tract cancers were obtained from large-scale genome-wide association studies in European (UK Biobank, FinnGen) and Asian (Biobank Japan, KoGES) cohorts. The inverse variance weighted (IVW) method was the primary analysis, with sensitivity tests including MR-Egger, weighted median, and MR-PRESSO to assess pleiotropy and robustness.
Results: In European populations, no significant causal associations were observed between blood pressure traits and digestive tract cancers (all P &gt; 0.05). In contrast, genetically predicted higher systolic blood pressure (SBP) was linked to increased colorectal cancer (CRC) risk in Asians (OR = 1.436, 95% CI: 1.102–1.869). Sensitivity analyses supported the robustness of this association.
Conclusions: Elevated SBP appears to be a potential causal risk factor for CRC in Asian populations, whereas no such association was observed in Europeans. Nevertheless, the causal links between blood pressure and other digestive tract cancers, as well as the underlying biological mechanisms, remain to be verified. To advance this understanding, further studies are needed to confirm ancestry-specific mechanisms and to clarify the biological pathways underlying these findings.
Keywords: blood pressure; colorectal cancer; digestive tract cancers; Mendelian randomization; ancestry
DOI: 10.6084/m9.figshare.30507269.v1
title: Supplementary Material for: Association between blood pressure and digestive tract cancers in European and Asian populations: A two-sample Mendelian randomization study

description: Objective: To examine the causal relationship between blood pressure and digestive tract cancers in European and Asian populations using Mendelian randomization (MR).
Methods: Summary statistics for blood pressure traits and digestive tract cancers were obtained from large-scale genome-wide association studies in European (UK Biobank, FinnGen) and Asian (Biobank Japan, KoGES) cohorts. The inverse variance weighted (IVW) method was the primary analysis, with sensitivity tests including MR-Egger, weighted median, and MR-PRESSO to assess pleiotropy and robustness.
Results: In European populations, no significant causal associations were observed between blood pressure traits and digestive tract cancers (all P &gt; 0.05). In contrast, genetically predicted higher systolic blood pressure (SBP) was linked to increased colorectal cancer (CRC) risk in Asians (OR = 1.436, 95% CI: 1.102–1.869). Sensitivity analyses supported the robustness of this association.
Conclusions: Elevated SBP appears to be a potential causal risk factor for CRC in Asian populations, whereas no such association was observed in Europeans. Nevertheless, the causal links between blood pressure and other digestive tract cancers, as well as the underlying biological mechanisms, remain to be verified. To advance this understanding, further studies are needed to confirm ancestry-specific mechanisms and to clarify the biological pathways underlying these findings.
Keywords: blood pressure; colorectal cancer; digestive tract cancers; Mendelian randomization; ancestry
DOI: 10.6084/m9.figshare.30507230
title: RNA-seq of sheep tissues

description: RNA-seq data of Hu sheep horn tissues and testis.
DOI: 10.6084/m9.figshare.30507230.v1
title: RNA-seq of sheep tissues

description: RNA-seq data of Hu sheep horn tissues and testis.
DOI: 10.15468/dl.tkceew
title: Occurrence Download

description: A dataset containing 5448173 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is one of (Pakistan, China)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2000-2025"
 ]
}

 The dataset includes 5448173 records from 529 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010593-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18112/openneuro.ds006661.v1.0.2
title: Rapid decoding of neural information representation from ultra-fast functional magnetic resonance imaging signals
DOI: 10.15151/esrf-es-2233785423
title: IBS BAG

description: The IBS BAG includes teams from IBS (Grenoble) and external groups from CEA-Cadarache (St Paul lez Durance) and IRBA (Brétigny-sur-Orge). We study the structure-function relationships of proteins with a focus on human health, biotechnology and methodology. Most of the projects are a continuation of the MX-2586 proposal and can be grouped under the following themes: host-pathogen interaction, new therapeutic targets, fundamental cellular mechanisms, membrane proteins, biotechnological applications and methodology. Some of these projects use integrative approaches (X-ray crystallography, cryo-EM, SAXS and NMR) together with other biophysical and biochemical studies and, more recently, the use of AI (AlphaFold) to fully understand the complexity of the biological macromolecular systems under study.
DOI: 10.15151/esrf-es-2233786842
title: PROTEINS RELATED TO PATHOGENESIS OF DISEASES, VIRAL PROTEINS, CELL DIVISION, SIGNALLING AND CHROMATIN PROCESSES

description: The outstanding research questions of our BAG (now expanded to 9 PIs) focus on proteins and their complexes involved in a variety of processes, ranging from cell homeostasis (from gene regulation to folding quality control, from energy metabolism to signal transduction) to communication and surface recognition (including trans-interactions between cell adhesion molecules, components of the extracellular matrix weaving, as well as antigen-antibody interactions for vaccine development and optimization). Key to several projects is the characterization of the mechanisms associated to enzyme function in various organisms, including bacteria, viruses, plants, animals and humans for downstream drug discovery campaigns. Emphasis is also given to research focusing on engineering protein and enzymes for future industrial applications, as well as to understand the impact of pathogenic mutations on protein structures, providing a genotype-to-molecular phenotype rationale to disease development.
DOI: 10.15468/dl.gvz7ab
title: Occurrence Download

description: A dataset containing 3560442339 species occurrences available in GBIF matching the query:
{
 "OccurrenceStatus" : [
 "is Present"
 ]
}

 The dataset includes 3560442339 records from 77555 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010535-251025141854904/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-2233032459
title: Dynamics of amorphous calcium carbonate precursor

description: Crystallization of calcium carbonate (CaCO3) is important for its crucial role in natural and industrial processes. Amorphous calcium carbonate (ACC) forms as metastable gel precursor of CaCO3. It is proposed to characterize the dynamics in the ACC gel obtained without the use of ‘stabilization’ methods, known to affect its structure, stability and crystallization pathway. To this aim, an X-ray photon correlation spectroscopy experiment is proposed. The time-evolution of the dynamics will be studied ‘in-situ’ thanks to the use of a microfluidic device allowing the fast mixing of the two solutions. Dynamics aspects provide useful insights into the physics behind the crystallization from amorphous, allowing to address molecular issues to help our understanding of the crystallization process of CaCO3, the ACC transformation, the effect of synthesis conditions on ACC structure, and polymorph selection when starting from salt solutions.
DOI: 10.6084/m9.figshare.28794356
title: Coupled strontium-calcium isotopes in Archean anorthosites reveal a late start for mantle depletion

description: Data includes Supplementary Information (Supp. Fig. 1-11, Supp. Table 1-4), Supplementary Data Files 1-6. Data tables present radiogenic Sr and Ca measurements in plagioclase from Archean anorthosites and associated rocks.
DOI: 10.6084/m9.figshare.28794356.v1
title: Coupled strontium-calcium isotopes in Archean anorthosites reveal a late start for mantle depletion

description: Data includes Supplementary Information (Supp. Fig. 1-11, Supp. Table 1-4), Supplementary Data Files 1-6. Data tables present radiogenic Sr and Ca measurements in plagioclase from Archean anorthosites and associated rocks.
DOI: 10.15468/dl.kq3p6r
title: Occurrence Download

description: A dataset containing 2544 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Freshwater fishes of Greece"
 ]
}

 The dataset includes 2544 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010610-251025141854904/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.29946884
title: TDP-43 skein-like inclusions formed by BAG3/HSP70 guided co-aggregation with actin binding proteins attached to actin filaments

description: More representative images and image analysis demonstration for the figures in the manuscript
DOI: 10.6084/m9.figshare.29946884.v1
title: TDP-43 skein-like inclusions formed by BAG3/HSP70 guided co-aggregation with actin binding proteins attached to actin filaments

description: More representative images and image analysis demonstration for the figures in the manuscript
DOI: 10.6084/m9.figshare.28127525
title: Geospatial Estimation of Forest Relative Density for Carbon Stewardship Decision Support across the Continental US

description: The project provides the underlying data to derive forest tree-size density metrics such as stand density index (SDI), maximum SDI (SDImax) and relative density (RD) using Forest Inventory and Analysis (FIA) data in Continental United States (CONUS). Additionally, the project provides 30 x 30 m wall to wall spatial datasets for SDI, SDImax and RD in leveraging on the TREEMAP 2016 raster.
DOI: 10.6084/m9.figshare.28127525.v1
title: Geospatial Estimation of Forest Relative Density for Carbon Stewardship Decision Support across the Continental US

description: The project provides the underlying data to derive forest tree-size density metrics such as stand density index (SDI), maximum SDI (SDImax) and relative density (RD) using Forest Inventory and Analysis (FIA) data in Continental United States (CONUS). Additionally, the project provides 30 x 30 m wall to wall spatial datasets for SDI, SDImax and RD in leveraging on the TREEMAP 2016 raster.
DOI: 10.6084/m9.figshare.28138643
title: Surface Water Transitions 1984-2022: A Global Dataset at Annual Resolution

description: This dataset provides a comprehensive global analysis of surface water dynamics, mapping areas where water has advanced or receded and capturing the timing of these transitions at annual resolution. Using Landsat time series data from 1984 to 2022, this dataset tracks long-term changes in rivers, lakes, reservoirs, and other water bodies, offering critical insights into hydrological shifts driven by natural and anthropogenic factors.

The dataset is structured to include:

 Water Transition Data – Raster files indicating areas of water advance and recession, along with the year in which these changes occurred.
 Statistical Summary (GeoJSON) – A spatial file containing aggregated statistics, including the magnitude and direction of water transitions for specific regions or water bodies.
 Code (TXT) – The Google Earth Engine (GEE) Javascript used to process Landsat imagery and generate the dataset.

This dataset is intended for use by researchers, policymakers, water resource managers, and conservationists seeking to understand water dynamics on a global scale. It can support studies on river meandering, wetland monitoring, floodplain dynamics, and the impacts of climate change on surface water distribution.

The Water Transition image consists of two bands: Band 1 (b1) represents water advance, while Band 2 (b2) represents water recession.
DOI: 10.6084/m9.figshare.28138643.v1
title: Surface Water Transitions 1984-2022: A Global Dataset at Annual Resolution

description: This dataset provides a comprehensive global analysis of surface water dynamics, mapping areas where water has advanced or receded and capturing the timing of these transitions at annual resolution. Using Landsat time series data from 1984 to 2022, this dataset tracks long-term changes in rivers, lakes, reservoirs, and other water bodies, offering critical insights into hydrological shifts driven by natural and anthropogenic factors.

The dataset is structured to include:

 Water Transition Data – Raster files indicating areas of water advance and recession, along with the year in which these changes occurred.
 Statistical Summary (GeoJSON) – A spatial file containing aggregated statistics, including the magnitude and direction of water transitions for specific regions or water bodies.
 Code (TXT) – The Google Earth Engine (GEE) Javascript used to process Landsat imagery and generate the dataset.

This dataset is intended for use by researchers, policymakers, water resource managers, and conservationists seeking to understand water dynamics on a global scale. It can support studies on river meandering, wetland monitoring, floodplain dynamics, and the impacts of climate change on surface water distribution.

The Water Transition image consists of two bands: Band 1 (b1) represents water advance, while Band 2 (b2) represents water recession.
DOI: 10.6084/m9.figshare.28425647
title: HEEW, a Hierarchical Dataset on Multiple Energy Consumption, PV Generation, Emissions, and Weather Information

description: This study constructs a multi-source and hierarchical dataset of energy consumption, photovoltaic (PV) power generation, greenhouse gas (GHG) emissions, and weather information, dubbed Hierarchical Energy, Emissions, and Weather (HEEW). This dataset contains 11,987,328 records for 147 individual buildings, four aggregated communities, and the entire region, which is structured as time-series tables indexed by building ID and timestamps from 1 January 2014 to 31 December 2022. It includes 13 hourly variables as follows. Energy records involve PV output and total energy consumption of electricity, heat, and cooling loads. Weather involves temperature, dew point, humidity, wind speed, wind gust, pressure, and precipitation. GHG emissions are estimated as the net values between the emissions from energy consumption and the offset by PV output. To ensure the feasibility, we develop a two-stage baseline data cleaning scheme, available at GitHub, where missing values are imputed, and abnormal values are corrected as artificial ground truth. The real-world dataset at figshare in CSV format serves as benchmarks for imputation, anomaly detection, clustering, decomposition, classification, forecasting, and optimization.
DOI: 10.6084/m9.figshare.28425647.v1
title: HEEW, a Hierarchical Dataset on Multiple Energy Consumption, PV Generation, Emissions, and Weather Information

description: This study constructs a multi-source and hierarchical dataset of energy consumption, photovoltaic (PV) power generation, greenhouse gas (GHG) emissions, and weather information, dubbed Hierarchical Energy, Emissions, and Weather (HEEW). This dataset contains 11,987,328 records for 147 individual buildings, four aggregated communities, and the entire region, which is structured as time-series tables indexed by building ID and timestamps from 1 January 2014 to 31 December 2022. It includes 13 hourly variables as follows. Energy records involve PV output and total energy consumption of electricity, heat, and cooling loads. Weather involves temperature, dew point, humidity, wind speed, wind gust, pressure, and precipitation. GHG emissions are estimated as the net values between the emissions from energy consumption and the offset by PV output. To ensure the feasibility, we develop a two-stage baseline data cleaning scheme, available at GitHub, where missing values are imputed, and abnormal values are corrected as artificial ground truth. The real-world dataset at figshare in CSV format serves as benchmarks for imputation, anomaly detection, clustering, decomposition, classification, forecasting, and optimization.
DOI: 10.15468/dl.sn2b2f
title: Occurrence Download

description: A dataset containing 11766918 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 11766918 records from 3287 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010602-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.26fsh6
title: Occurrence Download

description: A dataset containing 2943 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Fossil)",
 "OccurrenceStatus is Present",
 "TaxonKey is Haliotis rufescens Swainson, 1822"
 ]
}

 The dataset includes 2943 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0255214-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2w6rd3
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tillandsia bagua-grandensis Rauh"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015714-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.87se9f
title: Occurrence Download

description: A dataset containing 498 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anacyclus monanthos (L.) Thell."
 ]
}

 The dataset includes 498 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027206-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112022219
title: Cuneiform Tablet 1913.14.1504, Spurlock 1913.14.1504

description: [Text Description:] List of people and the amount remaining from contracts. ❧ [Text or Publication Number Note:] Spurlock 1913.14.1504; CDLI P421356 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish Gray (2.5Y 8.5/2) Light Brown (5YR 6/4) Medium Gray (N 5.5/ 24.6% R) ❧ [Physical Object Note:] 5.7 x 4.6 x 2.1 cm (52g)
DOI: 10.15468/dl.764yer
title: Occurrence Download

description: A dataset containing 5937 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sardina pilchardus (Walbaum, 1792)",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180"
 ]
}

 The dataset includes 5937 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0236181-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ww29kh
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anomalopidae",
 "Continent is one of (North America, South America)"
 ]
}

 The dataset includes 34 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015667-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j82sxe
title: Occurrence Download

description: A dataset containing 482 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "TaxonKey is Parkinsonia aculeata L.",
 "Year 1970-2022"
 ]
}

 The dataset includes 482 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0233032-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x2mfsq
title: Occurrence Download

description: A dataset containing 26767 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Venezuela (Bolivarian Republic of)",
 "TaxonKey is Chiroptera"
 ]
}

 The dataset includes 26767 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065748-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112022187
title: Cuneiform Tablet 1913.14.1504, Spurlock 1913.14.1504

description: [Text Description:] List of people and the amount remaining from contracts. ❧ [Text or Publication Number Note:] Spurlock 1913.14.1504; CDLI P421356 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish Gray (2.5Y 8.5/2) Light Brown (5YR 6/4) Medium Gray (N 5.5/ 24.6% R) ❧ [Physical Object Note:] 5.7 x 4.6 x 2.1 cm (52g)
DOI: 10.15468/dl.vas7rs
title: Occurrence Download

description: A dataset containing 241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Vulpes macrotis Merriam, 1888",
 "Year 1950-2021"
 ]
}

 The dataset includes 241 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009768-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b7p5xp
title: Occurrence Download

description: A dataset containing 1673 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Canis lupus Linnaeus, 1758",
 "Year 1993-2023"
 ]
}

 The dataset includes 1673 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0239140-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112022189
title: Cuneiform Tablet 1913.14.1504, Spurlock 1913.14.1504

description: [Text Description:] List of people and the amount remaining from contracts. ❧ [Text or Publication Number Note:] Spurlock 1913.14.1504; CDLI P421356 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish Gray (2.5Y 8.5/2) Light Brown (5YR 6/4) Medium Gray (N 5.5/ 24.6% R) ❧ [Physical Object Note:] 5.7 x 4.6 x 2.1 cm (52g)
DOI: 10.15468/dl.m6bwme
title: Occurrence Download

description: A dataset containing 529 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Veronica daurica Steven"
 ]
}

 The dataset includes 529 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029746-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.