cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25934/pr00008985
title: Effect of tafamidis treatment on total cardiovascular and cerebrovascular events in Transthyretin (TTR) cardiac amyloidosis

description: Transthyretin (TTR) is a protein which is made by the liver and circulates in the blood, transporting substances such as vitamin A and a thyroid hormone, thyroxine, around the body. Mutations in this protein can cause it to misfold or change shape, and to form into clumps called amyloids. A buildup of these abnormal proteins in the body’s organs is called amyloidosis. Cardiac transthyretin amyloidosis (ATTR) is a progressive, life-threatening disease where abnormal TTR is deposited in various organs, particularly the heart. This affects the heart’s ability to function properly, and can cause heart failure and enlarged heart which leads to significant morbidity and mortality. 

ATTR is common in certain populations and found in up to 20% of individuals over 60 with heart failure, aortic stenosis (thickening and narrowing of the valve between the heart's main pumping chamber and the body's main artery (the aorta)) or who have a pacemaker fitted (a small device that’s implanted in the chest to help control the heartbeat). It has been previously established that treatment of cardiac amyloidosis with tafamidis, a medication that prevents amyloid formation, prevents heart failure progression and fatal events. However, there are other outcomes of concern in the amyloidosis patient population, such as heart attack, stroke, bleeding and pacemaker implantation. The effect of tafamidis on the risk of these events is unknown. This research aims to investigate the effect of tafamidis on the risk of cardiovascular, cerebrovascular and bleeding events. While heart failure risk is not always a primary concern for every patient with amyloidosis, especially those in earlier stages without significant heart failure symptoms, catastrophic events such as heart attack and stroke, typically matter greatly when making healthcare decisions. This information will be vital for physicians and patients in making informed decisions regarding treatment options.
DOI: 10.15468/dl.swb8jp
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Axinaea floribunda",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 48 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007789-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25380/iastate.29869676
title: Tile Drainage and Rotation-Enhanced Cropland Data Layer

description: The Tile and Rotation Enhanced Cropland (TREC) dataset provides a high-resolution (30 m) spatial representation of land use in the Conterminous United States (CONUS), specifically designed to improve hydrological modeling in agricultural systems by enhanced spatial accuracy. This dataset consists of a single-band tiff image (<code>Tile_Rotation_Enhanced_CDL2017.tif</code>) with values ranging from 1 to 1522, representing various land use classes and tile drainage conditions as mapped in the csv file (<code>TREC_Datset_Code_Names.csv</code>). This dataset contains spatially explicit (pixel-wise) data on croplands, categorized by tile drainage status (tiled vs. non-tiled) and cropping system (continuous vs. discontinuous rotation). The TREC dataset is built upon the 2017 Cropland Data Layer (CDL); therefore, the values for non-tiled and discontinuous croplands in the TREC dataset developed in this study align with those in the 2017 CDL. This forms the basis for naming the output file as <code>Tile_Rotation_Enhanced_CDL2017.tif</code> (TREC2017). The TREC dataset supports reliable hydrologic modeling, enabling informed decision-making for watershed conservation, nutrient management, and agricultural policy development. This dataset is a vital resource for researchers and policymakers focused on sustainable agricultural practices and water resource management.
DOI: 10.25380/iastate.29869676.v1
title: Tile Drainage and Rotation-Enhanced Cropland Data Layer

description: The Tile and Rotation Enhanced Cropland (TREC) dataset provides a high-resolution (30 m) spatial representation of land use in the Conterminous United States (CONUS), specifically designed to improve hydrological modeling in agricultural systems by enhanced spatial accuracy. This dataset consists of a single-band tiff image (<code>Tile_Rotation_Enhanced_CDL2017.tif</code>) with values ranging from 1 to 1522, representing various land use classes and tile drainage conditions as mapped in the csv file (<code>TREC_Datset_Code_Names.csv</code>). This dataset contains spatially explicit (pixel-wise) data on croplands, categorized by tile drainage status (tiled vs. non-tiled) and cropping system (continuous vs. discontinuous rotation). The TREC dataset is built upon the 2017 Cropland Data Layer (CDL); therefore, the values for non-tiled and discontinuous croplands in the TREC dataset developed in this study align with those in the 2017 CDL. This forms the basis for naming the output file as <code>Tile_Rotation_Enhanced_CDL2017.tif</code> (TREC2017). The TREC dataset supports reliable hydrologic modeling, enabling informed decision-making for watershed conservation, nutrient management, and agricultural policy development. This dataset is a vital resource for researchers and policymakers focused on sustainable agricultural practices and water resource management.
DOI: 10.5281/zenodo.18461613
title: high-growth loss-making companies
DOI: 10.5281/zenodo.18461612
title: high-growth loss-making companies
DOI: 10.15468/dl.hev2xx
title: Occurrence Download

description: A dataset containing 37100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cirsium vulgare, Cirsium vulgare, Cirsium vulgare, Cirsium vulgare, Cirsium sylvaticum, Cirsium lanceolatum, Cirsium lanceolatum)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 37100 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007790-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5qehhw
title: Occurrence Download

description: A dataset listing the 4140996 species recorded in GBIF matching the query:
{
 "OccurrenceStatus" : [
 "is Present"
 ]
}

 The dataset's 4140996 records were derived from 88606 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007768-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3hfpy
title: Occurrence Download

description: A dataset containing 367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Barthea barthei",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 367 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007791-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/rx8bjr
title: Ontario corn prices, 2026 [Canada]

description: &lt;p&gt;This dataset contains Ontario corn grain prices collected by University of Guelph, Ridgetown Campus. The dataset includes daily prices of agricultural commodities at individual elevators in Ontario. Daily highs and lows are given for each commodity, as well as, daily Bank of Canada exchange rates.&lt;/p&gt;&lt;p&gt;This dataset includes data from January 1, 2026 to January 31, 2026. Data for February 1, 2026 to December 31, 2026 will be added as it becomes available.&lt;/p&gt;
description: Ontario Corn, Soybean, Wheat, Feed Grain Prices
DOI: 10.25345/c53r0q70v
title: MassIVE MSV000100692 - A Proteoform-Resolved Atlas of Human Cardiac Histones
title: Histones variant composition and post translational modifications (PTMs) of core and linker histones jointly orchestrate chromatin architecture and tissue specific gene regulation. However, capturing the full complexity of the "histone code" in native human tissues remains challenging. Here we present a human cardiac histone proteoform atlas comprising intact histone variants with combinatorial PTMs enabled by a streamlined top down proteomics workflow. In a single one dimensional reversed phase liquid chromatography (LC) mass spectrometry (MS) run, we achieve baseline separation of all four core histone families (H2A, H2B, H3, and H4) together with the linker histone H1 directly from human myocardium. Notably, this intact protein analysis preserves the connectivity of co occurring PTMs to a single histone to reveal the combinatorial histone code, enabling proteoform level quantification of histone variant composition and PTM stoichiometry at the chromatographic scale. the first proteoform resolved characterization of cardiac histones by top down proteomics, Targeted MS/MS directly resolves co occurring PTM combinations and distinguishes highly homologous histone isoforms. Using this approach, we uncover previously unobserved histone proteoforms and assemble the most comprehensive cardiac histone proteoform atlas to date. This top down proteomics workflow provides a robust framework for proteoform resolved analysis of histone variants and PTMs in complex biological systems.
DOI: 10.6084/m9.figshare.29963606
title: Code for "Shifting stage-specific constraints on productivity shape recovery potential for Yukon River Chinook salmon" [Ecological Applications]

description: Chinook_IPM_bycatch_avm_v4: Base model code, configured for retrospective simulations if desiredChinook_IPM_bycatch_avm_v4_proj: Identical to base model, but configured for projection rather than retrospective simulation
DOI: 10.6084/m9.figshare.29963606.v1
title: Code for "Shifting stage-specific constraints on productivity shape recovery potential for Yukon River Chinook salmon" [Ecological Applications]

description: Chinook_IPM_bycatch_avm_v4: Base model code, configured for retrospective simulations if desiredChinook_IPM_bycatch_avm_v4_proj: Identical to base model, but configured for projection rather than retrospective simulation
DOI: 10.5281/zenodo.18461517
title: Boundary Closure in Radiative-Gravitational Systems

description: We identify and empirically validate a boundary-closure condition governing stable radiative–gravitational systems. The analysis is based on a dimensionless scalar invariant,

 

X = (L · G · M) / (g · R⁴ · c⁴ · T⁴),

 

constructed exclusively from independently measured boundary observables: luminosity, effective temperature, surface gravity, mass, and radius.

 

Using the Sun and two benchmark samples of detached eclipsing-binary components—where masses and radii are determined geometrically and temperatures and surface gravities spectroscopically—we find that the invariant converges to a single closed value set by fundamental constants,

 

X = 4πσ / c⁴.

 

When expressed in natural units (c = ħ = k_B = 1, σ = π² / 60), this becomes

 

X = π³ / 15 ≈ 2.067,

 

corresponding to the third-order Bose-Einstein integral.

The dispersion of X is 0.13% in the high-precision benchmark sample, consistent with observational uncertainties. Random reassignment (scrambling) of boundary observables between systems destroys the closure, demonstrating that the convergence reflects a physical boundary constraint rather than a definitional identity. The closure is interpreted as a consequence of radiative decoupling: the surface at which photon degrees of freedom detach from an optically thick interior and become defined as free-streaming radiation at the boundary.
DOI: 10.15468/dl.9smtx3
title: Occurrence Download

description: A dataset containing 2124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cladium mariscus, Cladium mariscus, Cladium mariscus, Cladium germanicum)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 2124 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007792-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.22fk2z
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Beccarianthus pulcherrimus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 22 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007793-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18132841
title: Micro-computed tomography dataset of a Turonian bivalve pearl from the Voronezh Region, Russia

description: This dataset contains micro-computed tomography (micro-CT) data of a fossil bivalve pearl from the Upper Turonian deposits of the Voronezh Region, Russia. The dataset supports the results presented in the associated manuscript submitted to Lethaia.

The specimen is housed in the Paleontological Institute, Russian Academy of Sciences (PIN RAS, Moscow, Russia).

Repository Number PIN 6789/1
DOI: 10.5281/zenodo.18132840
title: Micro-computed tomography dataset of a Turonian bivalve pearl from the Voronezh Region, Russia

description: This dataset contains micro-computed tomography (micro-CT) data of a fossil bivalve pearl from the Upper Turonian deposits of the Voronezh Region, Russia. The dataset supports the results presented in the associated manuscript submitted to Lethaia.

The specimen is housed in the Paleontological Institute, Russian Academy of Sciences (PIN RAS, Moscow, Russia).

Repository Number PIN 6789/1
DOI: 10.15468/dl.cyy5ge
title: Occurrence Download

description: A dataset containing 1409 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Clematis recta)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 1409 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007794-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.az4saz
title: Occurrence Download

description: A dataset containing 1126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.90549 44.36802,-73.90736 44.36728,-73.90421 44.36418,-73.90074 44.36467,-73.89912 44.36766,-73.89739 44.36982,-73.90149 44.36967,-73.90227 44.36827,-73.90549 44.36802))",
 "OccurrenceStatus is Present",
 "StateProvince is New York",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1126 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007797-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j438qk
title: Occurrence Download

description: A dataset containing 1683 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonId is 3444"
 ]
}

 The dataset includes 1683 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007796-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zcvzkh
title: Occurrence Download

description: A dataset containing 415 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bellucia egensis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 415 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007798-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cst8fq
title: Occurrence Download

description: A dataset containing 7395 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Clinopodium acinos, Satureja acinos, Calamintha acinos, Calamintha acinos, Acinos arvensis)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 7395 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007799-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9s29c4nb87
title: Cantalice dataset

description: These are hydraulic flow data
DOI: 10.17632/9s29c4nb87.1
title: Cantalice dataset

description: These are hydraulic flow data
DOI: 10.17632/v56psj7g9k
title: Simulated Sediment Transport and Deposition with MGB-SED for Tocantins-Araguaia, São Francisco and Paranapanema basins

description: We provide a dataset of simulated suspended sediment discharge and sediment deposition for three reservoir cascades. The results were achieved using the MGB-SED model calibrated and validated for the Tocantis-Araguaia, São Francisco and Paranapanema watersheds. We did simulations between 1980 and 2019 using the characteristics of each reservoir and explicit equations to compute daily sediment deposition. In this dataset, we provide:
- .xlsx file named " Reservoir_Data" with the reservoir trap efficiency (%) for each deposition approach we tested; the reservoir characteristics (e.g. lat, lon, volume, average deposition); and annual sediment deposition for each reservoir .
- .rar file named "Shapefiles" with shapefiles named "Tocantins_Araguaia_Rivers.shp", "Sao_Francisco_Rivers.shp" and "Paranapanema_Rivers.shp" with the unit catchment codes that can be used to identify the river reach related to the simulated sediment series.
- NetCDF file named 'QSS_TO.nc' with daily suspended sediment discharge (t/day) for all (1721) simulated river reaches in the Tocantins-Araguaia River Basin, from 1980-2019 .
- NetCDF file named 'QSS_SF.nc' with daily suspended sediment discharge (t/day) for all (1150) simulated river reaches in the São Francisco River Basin, from 1980-2019 .
- NetCDF file named 'QSS_PA.nc' with daily suspended sediment discharge (t/day) for all (224) simulated river reaches in the Paranapanema River Basin, from 1980-2019 .
DOI: 10.17632/v56psj7g9k.1
title: Simulated Sediment Transport and Deposition with MGB-SED for Tocantins-Araguaia, São Francisco and Paranapanema basins

description: We provide a dataset of simulated suspended sediment discharge and sediment deposition for three reservoir cascades. The results were achieved using the MGB-SED model calibrated and validated for the Tocantis-Araguaia, São Francisco and Paranapanema watersheds. We did simulations between 1980 and 2019 using the characteristics of each reservoir and explicit equations to compute daily sediment deposition. In this dataset, we provide:
- .xlsx file named " Reservoir_Data" with the reservoir trap efficiency (%) for each deposition approach we tested; the reservoir characteristics (e.g. lat, lon, volume, average deposition); and annual sediment deposition for each reservoir .
- .rar file named "Shapefiles" with shapefiles named "Tocantins_Araguaia_Rivers.shp", "Sao_Francisco_Rivers.shp" and "Paranapanema_Rivers.shp" with the unit catchment codes that can be used to identify the river reach related to the simulated sediment series.
- NetCDF file named 'QSS_TO.nc' with daily suspended sediment discharge (t/day) for all (1721) simulated river reaches in the Tocantins-Araguaia River Basin, from 1980-2019 .
- NetCDF file named 'QSS_SF.nc' with daily suspended sediment discharge (t/day) for all (1150) simulated river reaches in the São Francisco River Basin, from 1980-2019 .
- NetCDF file named 'QSS_PA.nc' with daily suspended sediment discharge (t/day) for all (224) simulated river reaches in the Paranapanema River Basin, from 1980-2019 .
DOI: 10.17632/7s2chpbhnm
title: Cartilha educativa: Navegando pela quimioterapia

description: Esta cartilha foi desenvolvida para orientar pacientes em tratamento quimioterápico e seus acompanhantes, oferecendo informações claras e acessíveis sobre o processo de cuidado. O material é resultado de um projeto de extensão realizado por pesquisadores da Universidade Federal de São João del-Rei (UFSJ), Campus Centro-Oeste Dona Lindu, com o objetivo de democratizar o acesso à informação e apoiar pacientes e familiares ao longo do tratamento. Informações adicionais podem ser solicitadas via e-mail: silmaranunesandrade@ufsj.edu.br
DOI: 10.17632/7s2chpbhnm.1
title: Cartilha educativa: Navegando pela quimioterapia

description: Esta cartilha foi desenvolvida para orientar pacientes em tratamento quimioterápico e seus acompanhantes, oferecendo informações claras e acessíveis sobre o processo de cuidado. O material é resultado de um projeto de extensão realizado por pesquisadores da Universidade Federal de São João del-Rei (UFSJ), Campus Centro-Oeste Dona Lindu, com o objetivo de democratizar o acesso à informação e apoiar pacientes e familiares ao longo do tratamento. Informações adicionais podem ser solicitadas via e-mail: silmaranunesandrade@ufsj.edu.br