cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21233/krx8-9z63
title: Indian Lake ostracode surface sample dataset

description: Raw data for the Indian Lake ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/8qvg-er92
title: LDDsite5494 water chemistry dataset

description: Raw data for the LDDsite5494 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.71590/qdncjd
title: A Dataset of Concrete Beam-Slab Bridge Superstructures

description: Este conjunto de datos es parte de un proyecto de investigación enfocado en desarrollar modelos de estimación para detalles estructurales en puentes tipo losa-viga en concreto reforzado y presforzado. Estos detalles incluyen áreas de acero de refuerzo para losas y vigas, especificaciones de presfuerzo para vigas presforzadas y especificaciones de materiales como resistencia nominal a la compresión, resistencia a la fluencia del acero de refuerzo y resistencia última del acero de presfuerzo. El objetivo principal de la investigación es facilitar el uso de métodos analíticos de evaluación de capacidad de carga para puentes con parámetros estructurales incompletos o desconocidos. Para apoyar el desarrollo de modelos de estimación, en este estudio se generó un conjunto de datos integral que contiene propiedades nominales de los materiales, áreas de refuerzo y detalles de presfuerzo para puentes de tipo losa-viga de concreto reforzado y presforzado. El conjunto de datos se recolectó y seleccionó a partir de planos de construcción obtenidos del archivo del Instituto Nacional de Vías (INVIAS). Se incluye información de 420 losas de concreto reforzado, con más de 20 parámetros, y de 890 vigas de concreto, con más de 40 parámetros.
description: &lt;br&gt;
This dataset is part of a research project aimed at developing models to estimate structural details in reinforced and prestressed beam-slab bridges. These details include girder and deck steel reinforcement areas, prestressing specifications for prestressed girders, and material properties such as concrete compressive strength, reinforcing steel yield strength, and prestressing steel ultimate strength. The ultimate goal of this research is to enable the use of analytical load rating methods for bridges with missing or unknown structural parameters. To support the development of estimation models, this study assembled a comprehensive dataset containing nominal material strengths, reinforcement areas, and prestressing details for concrete beam-slab bridges. The dataset was curated from as-built drawings obtained from the archives of the Colombian National Institute of Roads (INVIAS). It includes information on 420 concrete decks with over 20 parameters and 892 concrete girders with more than 40 parameters.
DOI: 10.71590/qdncjd/0vjzqw
title: Bridge Database (Bridge Identification, Location, and Geometry Data).mat

description: Contiene información descriptiva general de cada uno de los 400 puentes incluidos en el conjunto de datos. Detalles de los diferentes campos contenidos en la tabla se encuentran en el diccionario de datos.
DOI: 10.71590/qdncjd/2jnjmw
title: Beam Database (Geometry, Material Specifications, Longitudinal and Transverse Reinforcement Data, and Prestressing Details for Beams).mat

description: Contiene registros para cada una de las vigas de concreto reforzado o concreto presforzado identificadas en el conjunto de 400 puentes incluidos en el estudio. En general, cada puente cuenta al menos con dos tipos de viga por cada vano: interiores y exteriores. Si bien los dos tipos de vigas generalmente comparten la misma geometría y detalles estructurales, tales como materiales y refuerzo, en algunos casos podrían presentarse diferencias. Por este motivo, vigas interiores y exteriores se registran por separado. La tabla cuenta con 892 registros de vigas, considerando que cada puente tiene al menos dos tipos de viga, y que algunos puentes tienen múltiples vanos. Los detalles sobre los campos considerados en la tabla pueden consultarse en el diccionario de datos.
DOI: 10.71590/qdncjd/2mw2fz
title: Deck Database (Geometry, Material Specifications, and Reinforcement Data for Reinforced Concrete Slabs in Bridges).tab

description: Contiene registros para cada una de las losas de concreto reforzado identificadas en el conjunto de 400 puentes incluidos en el estudio. La tabla tiene 429 registros de losas, considerando que un puente puede tener más de un tipo de losa. Los detalles sobre los campos incluidos en la tabla de datos se encuentran en el diccionario de datos.
DOI: 10.71590/qdncjd/8xhipo
title: Deck Database (Geometry, Material Specifications, and Reinforcement Data for Reinforced Concrete Slabs in Bridges).mat

description: Contiene registros para cada una de las losas de concreto reforzado identificadas en el conjunto de 400 puentes incluidos en el estudio. La tabla tiene 429 registros de losas, considerando que un puente puede tener más de un tipo de losa. Los detalles sobre los campos incluidos en la tabla de datos se encuentran en el diccionario de datos.
DOI: 10.71590/qdncjd/hd3kga
title: Bridge Database (Bridge Identification, Location, and Geometry Data).tab

description: Contiene información descriptiva general de cada uno de los 400 puentes incluidos en el conjunto de datos. Detalles de los diferentes campos contenidos en la tabla se encuentran en el diccionario de datos.
DOI: 10.71590/qdncjd/jszmch
title: Data Dictionary (Bridge Identification, Location, Geometry, Material Specifications, and Reinforcement Data).xlsx

description: Contiene los diccionarios de datos correspondientes para las tablas bridgeDB, deckDB y beamDB.
DOI: 10.71590/qdncjd/noss0d
title: Beam Database (Geometry, Material Specifications, Longitudinal and Transverse Reinforcement Data, and Prestressing Details for Beams).tab

description: Contiene registros para cada una de las vigas de concreto reforzado o concreto presforzado identificadas en el conjunto de 400 puentes incluidos en el estudio. En general, cada puente cuenta al menos con dos tipos de viga por cada vano: interiores y exteriores. Si bien los dos tipos de vigas generalmente comparten la misma geometría y detalles estructurales, tales como materiales y refuerzo, en algunos casos podrían presentarse diferencias. Por este motivo, vigas interiores y exteriores se registran por separado. La tabla cuenta con 892 registros de vigas, considerando que cada puente tiene al menos dos tipos de viga, y que algunos puentes tienen múltiples vanos. Los detalles sobre los campos considerados en la tabla pueden consultarse en el diccionario de datos.
DOI: 10.21233/bcmp-0x93
title: Norge Village vertebrate fauna dataset

description: Raw data for the Norge Village vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/n2d2-4n22
title: Lake Tzib pollen dataset

description: Raw data for the Lake Tzib pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/a6fs-r811
title: Catlow Rim vertebrate fauna dataset

description: Raw data for the Catlow Rim vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.jf9p2v
title: Occurrence Download

description: A dataset containing 11450 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Drynaria (Bory) J.Sm."
 ]
}

 The dataset includes 11450 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026750-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/30b6-9g87
title: Dead Island testate amoebae surface sample dataset

description: Raw data for the Dead Island testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.aa4rjy
title: Occurrence Download

description: A dataset containing 78625 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "GadmGid is CAN.13_1",
 "Geometry POLYGON((-141.4319 59.19823,-131.341 59.19823,-131.341 65.28792,-141.4319 65.28792,-141.4319 59.19823))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 78625 records from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026740-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/4pak-9980
title: Le Loclat pollen dataset

description: Raw data for the Le Loclat pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/fwkk-w473
title: Mississippi River water chemistry dataset

description: Raw data for the Mississippi River water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.a5kygu
title: Occurrence Download

description: A dataset containing 12744 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is NCSM Non-molluscan Invertebrates Collection",
 "TaxonKey is Cambaridae"
 ]
}

 The dataset includes 12744 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026751-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/gvvq-ft93
title: Samara mire testate amoebae surface sample dataset

description: Raw data for the Samara mire testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.jybcrd
title: Occurrence Download

description: A dataset containing 13013 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-80.69741 34.90137,-78.00286 34.90137,-78.00286 36.33752,-80.69741 36.33752,-80.69741 34.90137))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "StateProvince is North Carolina",
 "TaxonKey is Fabaceae",
 "Year 2020-2025"
 ]
}

 The dataset includes 13013 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026752-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/kj3v-ek95
title: Muirhead Lake ostracode surface sample dataset

description: Raw data for the Muirhead Lake ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/yrpt-2413
title: F16t-PI2WL1 pollen surface sample dataset

description: Raw data for the F16t-PI2WL1 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/e5ey-fy84
title: Cheongsu-Gotjawal ostracode surface sample dataset

description: Raw data for the Cheongsu-Gotjawal ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/1qwv-b913
title: Reedy Lake diatom surface sample dataset

description: Raw data for the Reedy Lake diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.15375989
title: Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks (genetic data)

description: Dataset supporting "Combinatorial prediction of therapeutic targets using causally-inspired neural networks" (genetic data)

Abstract: Phenotype-driven approaches identify disease-counteracting compounds by analyzing the phenotypic signatures that distinguish diseased from healthy states. Here, we introduce PDGrapher, a causally inspired graph neural network (GNN) designed to predict combinatorial perturbagens (sets of therapeutic targets) capable of reversing disease phenotypes. Unlike methods that learn how perturbations alter phenotypes, PDGrapher solves the inverse problem of directly predicting the perturbagens needed to achieve a desired response by embedding disease cell states into networks, learning a latent representation of these states, and identifying optimal combinatorial perturbations. In experiments in nine cell lines with chemical perturbations, PDGrapher identified effective perturbagens in more test samples than competing methods. It also demonstrates competitive performance on ten genetic perturbation datasets. An advantage of PDGrapher is its direct prediction paradigm, in contrast to the indirect and computationally intensive models traditionally employed in phenotype-driven research. This approach accelerates training by up to 25 times compared to existing methods, providing a fast approach for identifying therapeutic perturbations and advancing phenotype-driven drug discovery.
DOI: 10.5281/zenodo.15375990
title: Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks (genetic data)

description: Dataset supporting "Combinatorial prediction of therapeutic targets using causally-inspired neural networks" (genetic data)

Abstract: Phenotype-driven approaches identify disease-counteracting compounds by analyzing the phenotypic signatures that distinguish diseased from healthy states. Here, we introduce PDGrapher, a causally inspired graph neural network (GNN) designed to predict combinatorial perturbagens (sets of therapeutic targets) capable of reversing disease phenotypes. Unlike methods that learn how perturbations alter phenotypes, PDGrapher solves the inverse problem of directly predicting the perturbagens needed to achieve a desired response by embedding disease cell states into networks, learning a latent representation of these states, and identifying optimal combinatorial perturbations. In experiments in nine cell lines with chemical perturbations, PDGrapher identified effective perturbagens in more test samples than competing methods. It also demonstrates competitive performance on ten genetic perturbation datasets. An advantage of PDGrapher is its direct prediction paradigm, in contrast to the indirect and computationally intensive models traditionally employed in phenotype-driven research. This approach accelerates training by up to 25 times compared to existing methods, providing a fast approach for identifying therapeutic perturbations and advancing phenotype-driven drug discovery.
DOI: 10.21233/bkzh-jt40
title: Laguna Verde pollen dataset

description: Raw data for the Laguna Verde pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.3886/e210141
title: Data and Code for: Regional Dissent: Do Local Economic Conditions Influence FOMC Votes?

description: U.S. monetary-policy decisions are made by the 12 voting members of the FOMC. Seven of these members inherently represent national-level interests. The remaining members, a rotating group of presidents from the 12 Federal Reserve districts, come instead from sub-national jurisdictions. Does this structure have implications for the monetary policy-making process? We provide novel evidence that regional economic conditions influence the voting behavior of district presidents. Specifically, a regional unemployment rate that is one-percentage-point higher than the national level is associated with an approximately nine-percentage-points higher probability of dissenting in favor of looser policy at the FOMC.
DOI: 10.3886/e210141v1
title: Data and Code for: Regional Dissent: Do Local Economic Conditions Influence FOMC Votes?

description: U.S. monetary-policy decisions are made by the 12 voting members of the FOMC. Seven of these members inherently represent national-level interests. The remaining members, a rotating group of presidents from the 12 Federal Reserve districts, come instead from sub-national jurisdictions. Does this structure have implications for the monetary policy-making process? We provide novel evidence that regional economic conditions influence the voting behavior of district presidents. Specifically, a regional unemployment rate that is one-percentage-point higher than the national level is associated with an approximately nine-percentage-points higher probability of dissenting in favor of looser policy at the FOMC.
DOI: 10.21233/k9vz-2659
title: Ciénaga del Visitador pollen dataset

description: Raw data for the Ciénaga del Visitador pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.xudaqh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is 2492488"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026753-250426092105405/datasets/export for details.
DOI: 10.21233/9gfn-tc75
title: Grand Traverse Bay testate amoebae surface sample dataset

description: Raw data for the Grand Traverse Bay testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.3886/e228247
title: Data and Code for: Emission Prices, Biomass, and Biodiversity in Tropical Forests

description: The prudent reforestation of tropical rain forests depends on alternative land uses, the dynamics of carbon accumulation of forest trees, and the implicit social cost of emissions. In this paper, we discuss and extend recent research by Assunção et al. (2023) showing that arguably modest foreign transfers per unit of carbon captured could incentivize substantial reforestation in areas currently used for low-productivity cattle ranching in Brazil. Building on this research, we initiate the study of the relationship between externally set emission prices and changes in biodiversity and biomass. The Amazon holds 10 percent of the world’s vertebrate and plant species. There are more than 15,000 tree species, the vast majority of which are rare. Drawing on the scientific literature on rain forest biodiversity, we provide some preliminary estimates of how carbon pricing could affect biodiversity in the Brazilian Amazon.<br><br>
DOI: 10.3886/e228247v1
title: Data and Code for: Emission Prices, Biomass, and Biodiversity in Tropical Forests

description: The prudent reforestation of tropical rain forests depends on alternative land uses, the dynamics of carbon accumulation of forest trees, and the implicit social cost of emissions. In this paper, we discuss and extend recent research by Assunção et al. (2023) showing that arguably modest foreign transfers per unit of carbon captured could incentivize substantial reforestation in areas currently used for low-productivity cattle ranching in Brazil. Building on this research, we initiate the study of the relationship between externally set emission prices and changes in biodiversity and biomass. The Amazon holds 10 percent of the world’s vertebrate and plant species. There are more than 15,000 tree species, the vast majority of which are rare. Drawing on the scientific literature on rain forest biodiversity, we provide some preliminary estimates of how carbon pricing could affect biodiversity in the Brazilian Amazon.<br><br>