cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.y28ut4
title: Occurrence Download

description: A dataset containing 1783 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Buprestis aurulenta Linnaeus, 1767)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1783 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026490-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10848982
title: Mechanical properties of rubble pile asteroids (Dimorphos, Itokawa, Ryugu, and Bennu) through surface boulder morphological analysis

description: This material constitutes the dataset used for the computation of the results of the paper Mechanical properties of rubble pile asteroids (Dimorphos, Itokawa, Ryugu, and Bennu) through surface boulder morphological analysis by Robin & al. 

The folders "Bennu", "Dimorphos", "Itokawa" and "Ryugu" contains the raw images from PDS used for this study as well as the images with the outlined boulders made with segmentanygrains (https://github.com/zsylvester/segmenteverygrain), and the associated morphological descriptor values. The folder "ExtremeCases" contains the raw and outlined images for extreme roundness cases.

This material also contains the main figures of the paper as well as the code to remake most the figures.

Last version of this manuscript has been submitted to Nature Communications on May 14th, 2024 and accepted on May 17th, 2024.

Abstract: 




Planetary defense efforts rely on estimates of the mechanical properties of asteroids, which are difficult to constrain accurately from Earth. The mechanical properties of asteroid material are also important in the interpretation of the Double Asteroid Redirection Test (DART) impact. Here we perform a detailed morphological analysis of the surface boulders on Dimorphos using images, the primary data set available from the DART mission. We estimate the bulk angle of internal friction of the boulders to be 32.7 ± 2.5° from our measurements of the roundness of the 34 best-resolved boulders ranging in size from 1.67 to 6.64 m. The elongated nature of the boulders around the DART impact site implies that they were likely formed through impact processing. Finally, we find striking similarities in the morphology of the boulders on Dimorphos with those on other rubble pile asteroids (Itokawa, Ryugu and Bennu). This leads to very similar internal friction angles across the four bodies and suggests that a common formation mechanism has shaped the boulders. Our results provide key inputs for understanding the DART impact and for improving our knowledge about the physical properties, the formation and the evolution of both near-Earth rubble-pile and binary asteroids.
DOI: 10.5281/zenodo.10848983
title: Mechanical properties of rubble pile asteroids (Dimorphos, Itokawa, Ryugu, and Bennu) through surface boulder morphological analysis

description: This material constitutes the dataset used for the computation of the results of the paper Mechanical properties of rubble pile asteroids: insights from a morphological analysis of surface boulders by Robin& al. 

The folders "Bennu", "Dimorphos", "Itokawa" and "Ryugu" contains the raw images from PDS used for this study as well as the images with the outlined boulders made with segmentanygrains (https://github.com/zsylvester/segmenteverygrain), and the associated morphological descriptor values. The folder "ExtremeCases" contains the raw and outlined images for extreme roundness cases.

Thismaterial also contains the main figures of the paper as well as the code to remake most the figures.

The manuscript has been submitted to Nature Communications on 2 October, 2023
DOI: 10.5281/zenodo.10849719
title: Mechanical properties of rubble pile asteroids: insights from a morphological analysis of surface boulders

description: This material constitutes the dataset used for the computation of the results of the paper Mechanical properties of rubble pile asteroids: insights from a morphological analysis of surface boulders by Robin& al. 

The folders "Bennu", "Dimorphos", "Itokawa" and "Ryugu" contains the raw images from PDS used for this study as well as the images with the outlined boulders made with segmentanygrains (https://github.com/zsylvester/segmenteverygrain), and the associated morphological descriptor values. The folder "ExtremeCases" contains the raw and outlined images for extreme roundness cases.

Thismaterial also contains the main figures of the paper as well as the code to remake most the figures.

The manuscript has been submitted to Nature Communications on 2 October, 2023

(New version with a readme.txt)
DOI: 10.5281/zenodo.10849763
title: Mechanical properties of rubble pile asteroids (Dimorphos, Itokawa, Ryugu, and Bennu) through surface boulder morphological analysis

description: This material constitutes the dataset used for the computation of the results of the paper Mechanical properties of rubble pile asteroids (Dimorphos, Itokawa, Ryugu, and Bennu) through surface boulder morphological analysis by Robin & al. 

The folders "Bennu", "Dimorphos", "Itokawa" and "Ryugu" contains the raw images from PDS used for this study as well as the images with the outlined boulders made with segmentanygrains (https://github.com/zsylvester/segmenteverygrain), and the associated morphological descriptor values. The folder "ExtremeCases" contains the raw and outlined images for extreme roundness cases.

This material also contains the main figures of the paper as well as the code to remake most the figures.

Last version of this manuscript has been submitted to Nature Communications on May 14th, 2024 and accepted on May 17th, 2024.

Abstract: 




Planetary defense efforts rely on estimates of the mechanical properties of asteroids, which are difficult to constrain accurately from Earth. The mechanical properties of asteroid material are also important in the interpretation of the Double Asteroid Redirection Test (DART) impact. Here we perform a detailed morphological analysis of the surface boulders on Dimorphos using images, the primary data set available from the DART mission. We estimate the bulk angle of internal friction of the boulders to be 32.7 ± 2.5° from our measurements of the roundness of the 34 best-resolved boulders ranging in size from 1.67 to 6.64 m. The elongated nature of the boulders around the DART impact site implies that they were likely formed through impact processing. Finally, we find striking similarities in the morphology of the boulders on Dimorphos with those on other rubble pile asteroids (Itokawa, Ryugu and Bennu). This leads to very similar internal friction angles across the four bodies and suggests that a common formation mechanism has shaped the boulders. Our results provide key inputs for understanding the DART impact and for improving our knowledge about the physical properties, the formation and the evolution of both near-Earth rubble-pile and binary asteroids.
DOI: 10.15468/dl.fxf2hk
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Maladera insanabilis (Brenske, 1894))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 54 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026493-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/8b025bf5-97b4-4708-a590-a8cdf4f662b0.v1
title: Data pertaining to the paper Salt weathering resistance of mortars with an encapsulated crystallisation inhibitor

description: The paper follows an experimental approach to investigate the effect of capsules on the properties of mortar and the effect of the encapsulated inhibitor on the salt weathering resistance of various mortars.<br>The data is added a zipped file with a readme file in each folder explaining the data, data types and the way to process the data. The type of files include ".xlsx", ."xls", ".txt" for alphanumeric data, ".tiff" and ".jpg" for image related data and ".m" are MATLAB files for processing the data.
DOI: 10.15468/dl.85z23d
title: Occurrence Download

description: A dataset containing 22741 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-250.0",
 "Geometry MULTIPOLYGON(((78.79631 24.61597,80.10716 25.18691,81.18644 26.08841,81.93098 27.24689,82.25613 28.56167,82.2497 28.6197,79.16602 30.24882,76.34206 32.90667,75.75223 32.8223,74.33144 32.16233,73.25312 31.15106,72.61938 29.904,72.5128 28.92651,73.71483 29.6317,75.25762 28.50032,73.35484 27.93463,72.81235 27.22135,73.54582 26.08367,74.6264 25.18352,75.93804 24.61421,77.36731 24.4201,78.79631 24.61597)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2001-2020"
 ]
}

 The dataset includes 22741 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026491-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f3mr66
title: Occurrence Download

description: A dataset containing 410 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pareas carinatus (Wagler, 1830)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 410 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026492-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/0636c4cb-e704-4c59-9b86-2d67157c3a41
title: Dataset pertaining to the paper "Tunable chitosan-alginate capsules for a controlled release of crystallisation inhibitors in mortars"

description: The paper explores feasibility of chitosan-calcium alginate capsules for encapsulating sodium ferrocyanide (inhbitor) and controlling its release in different pH solutions.<br>The data is added a zipped folder containing subfolders. Each subfolder contains a text Readme file that explains the data. The type of files are ".xlsx", ".txt", ".tiff", and ".m"
DOI: 10.4121/0636c4cb-e704-4c59-9b86-2d67157c3a41.v1
title: Dataset pertaining to the paper "Tunable chitosan-alginate capsules for a controlled release of crystallisation inhibitors in mortars"

description: The paper explores feasibility of chitosan-calcium alginate capsules for encapsulating sodium ferrocyanide (inhbitor) and controlling its release in different pH solutions.<br>The data is added a zipped folder containing subfolders. Each subfolder contains a text Readme file that explains the data. The type of files are ".xlsx", ".txt", ".tiff", and ".m"
DOI: 10.15468/dl.ecxcf3
title: Occurrence Download

description: A dataset containing 1283 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Maladera formosae (Brenske, 1898))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1283 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026495-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e200862
title: Code for "Using Multiple Data Sources to Learn About the Race and Ethnicity of Taxpayers"

description: Recently, studying income by race and ethnicity has gained interest
among policymakers. The Congressional Budget Office (CBO) regularly reports on
the distribution of household income, using a statistically matched dataset
with survey and administrative tax data to account for the household resources
for both tax filers and nonfilers. CBO
has not evaluated whether the statistical match preserves the distribution of
income by race and ethnicity reported in the survey. This preliminary analysis of CBO’s statistically
matched data by race and ethnicity uses information from survey data linked to
administrative tax data at the individual level from the Census Bureau.
DOI: 10.3886/e200862v1
title: Code for "Using Multiple Data Sources to Learn About the Race and Ethnicity of Taxpayers"

description: Recently, studying income by race and ethnicity has gained interest
among policymakers. The Congressional Budget Office (CBO) regularly reports on
the distribution of household income, using a statistically matched dataset
with survey and administrative tax data to account for the household resources
for both tax filers and nonfilers. CBO
has not evaluated whether the statistical match preserves the distribution of
income by race and ethnicity reported in the survey. This preliminary analysis of CBO’s statistically
matched data by race and ethnicity uses information from survey data linked to
administrative tax data at the individual level from the Census Bureau.
DOI: 10.15468/dl.qg2qqw
title: Occurrence Download

description: A dataset containing 2680 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phyllotocus macleayi Fischer von Waldheim, 1823)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2680 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026496-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6qhppd
title: Occurrence Download

description: A dataset listing the 10 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Brazil",
 "Geometry POLYGON((-46.18436 -16.02269,-46.09579 -16.07461,-45.96242 -16.03694,-45.066 -16.09206,-44.49859 -15.65793,-44.9558 -15.10606,-45.52872 -15.11051,-45.75742 -15.09398,-45.85208 -15.10002,-46.08975 -15.19065,-46.35158 -15.39408,-46.40999 -15.38401,-46.75441 -15.84122,-46.39205 -16.00233,-46.2821 -16.0288,-46.18436 -16.02269))",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia",
 "Year 2000-2024"
 ]
}

 The dataset's 10 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026480-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kun74n
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Beet mild yellowing virus"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026497-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10705509
title: Kikuchi patterns for cNMF analysis.

description: Employing constrained non-negative matrix factorization for microstructure segmentation

Materials characterization using electron backscatter diffraction (EBSD) requires indexing the orientation of the measured region from Kikuchi patterns. The quality of Kikuchi patterns can degrade due to pattern overlaps arising from two or more orientations, in the presence of defects or grain boundaries. In this work we employ constrained non-negative matrix factorization to segment a microstructure with small grain misorientations,~\mbox{($<1\degree$)}, and predict the amount of pattern overlap. First we implement the method on mixed simulated patterns - that replicates a pattern overlap scenario, and demonstrate the resolution limit of pattern mixing or factorization resolution using a weight metric. Subsequently, we segment a single-crystal dendritic microstructure and compare the results with high resolution EBSD. By utilizing weight metrics across a low angle grain boundary we demonstrate how very small misorientations/low-angle grain boundaries can be resolved at a pixel level. Our approach constitutes a versatile and robust tool, complementing other fast indexing methods for microstructure characterization.
DOI: 10.5281/zenodo.10705510
title: Kikuchi patterns for cNMF analysis.

description: Employing constrained non-negative matrix factorization for microstructure segmentation

Materials characterization using electron backscatter diffraction (EBSD) requires indexing the orientation of the measured region from Kikuchi patterns. The quality of Kikuchi patterns can degrade due to pattern overlaps arising from two or more orientations, in the presence of defects or grain boundaries. In this work we employ constrained non-negative matrix factorization to segment a microstructure with small grain misorientations,~\mbox{($<1\degree$)}, and predict the amount of pattern overlap. First we implement the method on mixed simulated patterns - that replicates a pattern overlap scenario, and demonstrate the resolution limit of pattern mixing or factorization resolution using a weight metric. Subsequently, we segment a single-crystal dendritic microstructure and compare the results with high resolution EBSD. By utilizing weight metrics across a low angle grain boundary we demonstrate how very small misorientations/low-angle grain boundaries can be resolved at a pixel level. Our approach constitutes a versatile and robust tool, complementing other fast indexing methods for microstructure characterization.
DOI: 10.15468/dl.gusxpf
title: Occurrence Download

description: A dataset containing 28113 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dermacentor C.L.Koch, 1844"
 ]
}

 The dataset includes 28113 records from 162 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026494-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zcyxaj
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-250.0",
 "Geometry MULTIPOLYGON(((27.77585 9.71422,28.32218 10.76826,28.52133 11.94941,28.33819 13.1464,27.77399 14.23759,26.87297 15.10406,25.72322 15.64589,24.44885 15.79801,23.19325 15.54183,22.09686 14.90859,21.2758 13.97368,20.80723 12.84353,20.72395 11.63921,21.01706 10.48079,21.64352 9.47526,22.05433 9.12217,22.0931 9.14304,26.29512 8.53552,26.94487 8.87938,27.77585 9.71422)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2001-2020"
 ]
}

 The dataset includes 20 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026498-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tesscp
title: Occurrence Download

description: A dataset containing 171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is India",
 "TaxonKey is Synoicus chinensis (Linnaeus, 1766)"
 ]
}

 The dataset includes 171 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026500-240506114902167/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.25795652
title: Another string to your bow: machine learning prediction of the pharmacokinetic properties of small molecules

description: Prediction of pharmacokinetic (PK) properties is crucial for drug discovery and development. Machine-learning (ML) models, which use statistical pattern recognition to learn correlations between input features (such as chemical structures) and target variables (such as PK parameters), are being increasingly used for this purpose. To embed ML models for PK prediction into workflows and to guide future development, a solid understanding of their applicability, advantages, limitations, and synergies with other approaches is necessary. This narrative review discusses the design and application of ML models to predict PK parameters of small molecules, especially in light of established approaches including <i>in vitro-in vivo</i> extrapolation (IVIVE) and physiologically based pharmacokinetic (PBPK) models. The authors illustrate scenarios in which the three approaches are used and emphasize how they enhance and complement each other. In particular, they highlight achievements, the state of the art and potentials of applying machine learning for PK prediction through a comphrehensive literature review. ML models, when carefully crafted, regularly updated, and appropriately used, empower users to prioritize molecules with favorable PK properties. Informed practitioners can leverage these models to improve the efficiency of drug discovery and development process.
DOI: 10.6084/m9.figshare.25795652.v1
title: Another string to your bow: machine learning prediction of the pharmacokinetic properties of small molecules

description: Prediction of pharmacokinetic (PK) properties is crucial for drug discovery and development. Machine-learning (ML) models, which use statistical pattern recognition to learn correlations between input features (such as chemical structures) and target variables (such as PK parameters), are being increasingly used for this purpose. To embed ML models for PK prediction into workflows and to guide future development, a solid understanding of their applicability, advantages, limitations, and synergies with other approaches is necessary. This narrative review discusses the design and application of ML models to predict PK parameters of small molecules, especially in light of established approaches including <i>in vitro-in vivo</i> extrapolation (IVIVE) and physiologically based pharmacokinetic (PBPK) models. The authors illustrate scenarios in which the three approaches are used and emphasize how they enhance and complement each other. In particular, they highlight achievements, the state of the art and potentials of applying machine learning for PK prediction through a comphrehensive literature review. ML models, when carefully crafted, regularly updated, and appropriately used, empower users to prioritize molecules with favorable PK properties. Informed practitioners can leverage these models to improve the efficiency of drug discovery and development process.
DOI: 10.3886/e201865
title: Data and Code for: The Economic Burden of Dementia in India

description: This paper provides the first estimate of the economic cost borne by Indian individuals living with dementia and their families based on nationally- and state-wise representative data from the Longitudinal Aging Study in India (LASI). We found that the annual household cost attributable to dementia was $571. This is a significant figure, equivalent to 20 percent of annual healthcare spending by the Indian government. Our results identify important differences in cost components relative to high-income countries, emphasizing the need for culturally tailored interventions to support people living with the condition and their families in the Indian context.
description: The underlying data are from the Longitudinal Aging Study in India (LASI), a nationally representative survey of Indian individuals aged 60 and above who were interviewed between 2017 and 2019. Additional data on average state-level wages of urban male and female workers were obtained from India's Periodic Labor Force Survey. .