cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25318/1110019001-eng
title:  Market income, government transfers, total income, income tax and after-tax income by economic family type

description: Market income, government transfers, total income, income tax and after-tax income, by economic family type, annual.
DOI: 10.34740/kaggle/dsv/2845240
title: COVID-19 All Vaccines Tweets
DOI: 10.5281/zenodo.7599269
title: Open Soil Spectral Library (training data and calibration models)

description: <strong>Open Soil Spectral Library</strong> contains training MIR (91,631) and VisNIR (65,063) spectral scans + soil calibration data (&gt;60,000 unique locations) and calibration models. Key data set: ossl_all_L1_v1.2.qs: soil laboratory, site and spectra information; Important note: The data set spatially over-represents USA and European Union, with little training data in Asia, South America and Australia, hence calibration models reflect primarily soils of USA and Europe. To use the models and data please install R and required packages. Read more about the <strong>QS data format</strong> and how to convert it to CSV or similar. Modeling steps are explained in detail in: https://github.com/soilspectroscopy/ossl-models. To visualize database please use: https://explorer.soilspectroscopy.org/ Complete OSSL documentation can be found at: https://soilspectroscopy.github.io/ossl-manual/ <strong>Soil Spectroscopy for the Global Good</strong> is a Coordinated Innovation Network funded by USDA NIFA Food and Agriculture Cyberinformatics Tools Program (Award #2020-67021-32467). Input datasets are property of the USDA NRCS National Soil Survey Center – Kellogg Soil Survey Laboratory, ICRAF-World Agroforestry, ISRIC-World Soil Information, the Africa Soil Information Service funded by the Bill and Melinda Gates Foundation, the European Soil Data Centre, the National Ecological Observatory Network, and ETH Zurich. For more advanced uses of the soil spectral libraries <strong>we advise to contact the original data producers</strong> especially to get help with using, extending and improving the original SSL data.
description: {"references": ["Orgiazzi, Alberto, Cristiano Ballabio, Panagiotis Panagos, Arwyn Jones, and Oihane Fern\u00e1ndez-Ugalde. 2018. \"LUCAS Soil, the largest expandable soil dataset for Europe: a review.\" European Journal of Soil Science 69 (1): 140\u201353. https://doi.org/10.1111/ejss.12499.", "Sanderman, Jonathan, Kathleen Savage, and Shree RS Dangal. 2020. \"Mid-infrared spectroscopy for prediction of soil health indicators in the United States.\" Soil Science Society of America Journal 84 (1): 251\u201361. https://doi.org/10.1002/saj2.20009.", "Summerauer, L., P. Baumann, L. Ramirez-Lopez, M. Barthel, M. Bauters, B. Bukombe, M. Reichenbach, et al. 2021. \"The Central African Soil Spectral Library: A New Soil Infrared Repository and a Geographical Prediction Analysis.\" SOIL 7 (2): 693\u2013715. https://doi.org/10.5194/soil-7-693-2021.", "Vagen, Tor-Gunnar, Leigh Ann Winowiecki, Luseged Desta, Ebagnerin Jerome Tondoh, Elvis Weullow, Keith Shepherd, and Andrew Sila. 2020. Mid-Infrared Spectra (MIRS) from ICRAF Soil and Plant Spectroscopy Laboratory: Africa Soil Information Service (AfSIS) Phase I 2009-2013. World Agroforestry - Research Data Repository. https://doi.org/10.34725/DVN/QXCWP1."]}
DOI: 10.6073/pasta/56c6fe02a07e8a8aaff44a43a9d9a6a5
title: Canopy-Atmosphere Exchange of Carbon, Water and Energy at Harvard Forest EMS Tower since 1991

description: The tower-based CO2 measurements and key meteorological drivers are intended to examine how regional and ecosystem level processes in a mid-latitude forest contribute to global carbon cycling. Specifically, we endeavor to understand quantitatively how and why forested ecosystems take up or release carbon, on time scales from hours to decades, and to elucidate responses to climate changes and management interventions.
 The tower was installed 1989 and the resulting eddy-flux measurements constitute the longest running record of the net-ecosystem carbon exchange in a North American Forest. The resulting long-term record of Net Ecosystem Exchange (NEE) has shown the effects of climate anomalies on carbon fluxes for seasonal and annual time scales. For example, reduced soil frost allows greater respiration in the winter leading to lower C sequestration. Cumulative gross photosynthesis depends on when the canopy emerges in the spring. Warmer springtime temperatures lead to greater uptake of C. As the NEE record is extended and augmented by supporting ecological measurements, we can further identify longer-term effects of climate perturbations on carbon fluxes and further define the relationship between stand history and carbon sequestration. Climatic anomalies in one season or year may have a longer-term effect on the sequestration of carbon in subsequent seasons or years.
 The flux and ecological measurements are coordinated with studies at other sites through the AmeriFlux network. By examining the relationships between carbon fluxes and the driving physical and biological variables across a range of sites we are enhancing understanding of the processes that control NEE.
DOI: 10.5281/zenodo.14943999
title: iCon data
DOI: 10.5281/zenodo.14944000
title: iCon data
DOI: 10.15468/dl.fwvmk8
title: Occurrence Download

description: A dataset containing 513 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chinese Taipei",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Suaeda maritima (L.) Dumort."
 ]
}

 The dataset includes 513 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003412-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kmjd3k
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((26.71406 39.58617,26.69245 39.55572,26.92901 39.58164,26.77645 39.65875,26.72259 39.61209,26.71406 39.58617))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 174 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003354-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57780/ae1-298c26f
title: HIGHWAY Aeolus Level 2B

description: Aeolus Level 2B in cloud-native data format
DOI: 10.15468/dl.k9mnaw
title: Occurrence Download

description: A dataset containing 1284 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Türkiye",
 "Geometry POLYGON((29.21238 36.60864,30.38498 36.60864,30.38498 37.41932,29.21238 37.41932,29.21238 36.60864))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1284 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003355-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gxzsbt
title: Occurrence Download

description: A dataset containing 937 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Türkiye",
 "Geometry POLYGON((26.46897 39.52716,26.92835 39.52716,26.9226 39.80661,26.45365 39.78556,26.46897 39.52716))",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 937 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003356-250227182400228/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.28286651
title: <b>Biophysical factors determining the effects of forest management on ecosystem resilience</b>

description: Datasets for the figures
DOI: 10.6084/m9.figshare.28286651.v1
title: <b>Biophysical factors determining the effects of forest management on ecosystem resilience</b>

description: Datasets for the figures
DOI: 10.15468/dl.4spde3
title: Occurrence Download

description: A dataset containing 765 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((31.58613 36.86961,31.48875 36.75979,31.78505 36.62718,31.89418 36.75081,31.58613 36.86961))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 765 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003413-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sxq77n
title: Occurrence Download

description: A dataset containing 286 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Iberis pectinata Boiss."
 ]
}

 The dataset includes 286 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003358-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pg6mvg
title: Occurrence Download

description: A dataset listing the 957 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 1950-2023"
 ]
}

 The dataset's 957 records were derived from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003351-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c96cbm
title: Occurrence Download

description: A dataset containing 446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((31.43065 36.83483,32.08987 36.54333,32.21038 36.77097,31.62121 37.01714,31.43065 36.83483))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 446 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003414-250227182430271/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.28522457
title: <b>A comprehensive grain-size database of surface sediments from the Taklamakan Desert</b>

description: The database consists of three Excel files: files 1, 2, and 3 describe the grain-size characteristics of sediments from the Taklamakan Desert, with the second and third files derived from calculations based on the data in file 1.<b>File 1:</b> Grain Size Database of Sediments from the Taklamakan DesertSpecifically, File 1 contains the following data fields: 1) geomorphic type, including mobile dunes, vegetated hummock dunes, fixed or semi-fixed sandy land, interdune, deflation areas, fluvial-lacustrine sediments, and mountain sediments; 2) latitude and longitude; 3) sample ID; 4) natural frequency of sediments (The volumetric percentage content (%) for each interval within the 0 to 3500 μm range). This file provides fundamental data on the sediment composition across different landscapes, serving as the basis for the subsequent derivation of statistical grain size parameters and particle fractions in Files 2 and 3.<b>File 2:</b> Grain Size Parameters Database of Sediments from the Taklamakan DesertThe parameters are calculated based on the data in File 1 and are expressed in two formats: micrometers (μm) and phi (ϕ) units. File 2 contains the following data fields: 1) geomorphic type; 2) grain size parameters, the mean grain size, sorting, skewness, and kurtosis were included; 3) sample ID. These indicators can measure the energy of the sediment transport medium and transport mode.<b>File 3:</b> Particle Fraction Database of Sediments from the Taklamakan DesertThis file provides the content of each sediment sample in terms of its constituent particle fractions. These fractions are calculated based on the grain size components from File 1 and are expressed as volume percentages. File 3 contains the following data fields: 1) geomorphic type; 2) particle fraction; 3) sample ID. This file summarizes the compositional characteristics of the sediments, offering insights into the relative abundance of different particle fractions across various geomorphic units of the Taklamakan Desert.<br><br>
DOI: 10.5281/zenodo.14586813
title: Dataset for Computer-aided rational design and synthesis of new potential antihypertensive agents among 1,2,3-triazole-containing nifedipine analogs

description: 1,2,3-Triazole-containing Nifedipine analogues offer the opportunity to increase biostability, bioavailability, efficacy and binding selectivity to target receptors. Here, we applied a computer-aided rational design for identifying new Nifedipine analogues containing a 1,2,3-triazole moiety. First, a new chemical library of 796 derivatives combining the DHP fragment and 1,2,3-triazole moiety was generated. Second, to reduce the library size, the library was pre-filtered using two 3D-pharmacophore models with different complexity, which allowed us to gradually reduce the chemical space, ending up with 26 hit candidates. Molecular docking calculations against the rCav1.1 receptor allowed the identification of eight derivatives 5a-h, characterized by the binding affinity towards the rCav1.1 receptor of the same level as approved Nifedipine-like drugs. Next, our molecular docking results were used to guide and optimize the retrosynthetic approaches for new analogues of Nifedipine as promising antihypertensive agents. So, a retrosynthetic approach for Nifedipine analogues with a 1,2,3-triazole ring in position 4 was proposed. Finally, eight analogues 5a-h determined by molecular docking calculations were synthesized using the suggested retrosynthetic approach.
DOI: 10.5281/zenodo.14586814
title: Dataset for Computer-aided rational design and synthesis of new potential antihypertensive agents among 1,2,3-triazole-containing nifedipine analogs

description: 1,2,3-Triazole-containing Nifedipine analogues offer the opportunity to increase biostability, bioavailability, efficacy and binding selectivity to target receptors. Here, we applied a computer-aided rational design for identifying new Nifedipine analogues containing a 1,2,3-triazole moiety. First, a new chemical library of 796 derivatives combining the DHP fragment and 1,2,3-triazole moiety was generated. Second, to reduce the library size, the library was pre-filtered using two 3D-pharmacophore models with different complexity, which allowed us to gradually reduce the chemical space, ending up with 26 hit candidates. Molecular docking calculations against the rCav1.1 receptor allowed the identification of eight derivatives 5a-h, characterized by the binding affinity towards the rCav1.1 receptor of the same level as approved Nifedipine-like drugs. Next, our molecular docking results were used to guide and optimize the retrosynthetic approaches for new analogues of Nifedipine as promising antihypertensive agents. So, a retrosynthetic approach for Nifedipine analogues with a 1,2,3-triazole ring in position 4 was proposed. Finally, eight analogues 5a-h determined by molecular docking calculations were synthesized using the suggested retrosynthetic approach.
DOI: 10.17028/rd.lboro.27611988
title: Supplementary information for The proportion of weight gain due to change in fat mass in infants with vs without rapid growth

description: Article abstractBackground: There is extensive evidence that rapid infant weight gain increases the risk of childhood obesity, but this is normally based on childhood body mass index (BMI) only and whether or not this is because infants with rapid weight gain accrue greater fat mass is unknown.Objective: The primary objective of our study was to test whether the proportion of infant weight gain due to concurrent increases in fat mass is greater in infants with rapid weight gain as compared to those with normal growth.Methods: Body composition was assessed by 1) air-displacement plethysmography (ADP) at 0 & 6 months in 342 infants from Australia, India, and South Africa and 2) deuterium dilution (DD) at 3 & 24 months in 555 infants from Brazil, Pakistan, South Africa, and Sri Lanka. Weight gain and length growth were each categorized as slow, normal, or rapid using cut-offs of &lt; -0.67 or &gt;+0.67 Z-scores. Regression was used to estimate and contrast the percentages of weight change due to fat mass change.Results: Approximately 40% of the average weight gain between 0-6 months and 20% of the average weight gain between 3-24 months was due to increase in fat mass. In both samples, compared to the normal group, the proportion of weight gain due to fat mass was higher on average among infants with rapid weight gain and lower among infants with slow weight gain, with considerable individual variability. Conversely, slow and rapid length growth was not associated with differential gains in fat mass.Conclusions: Pediatricians should monitor infant growth with the understanding that, while crossing upward through the weight centiles generally is accompanied by greater adiposity gains (not just higher BMI), upward crossing through the length centiles is not.
DOI: 10.17028/rd.lboro.27611988.v1
title: Supplementary information for The proportion of weight gain due to change in fat mass in infants with vs without rapid growth

description: Article abstractBackground: There is extensive evidence that rapid infant weight gain increases the risk of childhood obesity, but this is normally based on childhood body mass index (BMI) only and whether or not this is because infants with rapid weight gain accrue greater fat mass is unknown.Objective: The primary objective of our study was to test whether the proportion of infant weight gain due to concurrent increases in fat mass is greater in infants with rapid weight gain as compared to those with normal growth.Methods: Body composition was assessed by 1) air-displacement plethysmography (ADP) at 0 & 6 months in 342 infants from Australia, India, and South Africa and 2) deuterium dilution (DD) at 3 & 24 months in 555 infants from Brazil, Pakistan, South Africa, and Sri Lanka. Weight gain and length growth were each categorized as slow, normal, or rapid using cut-offs of &lt; -0.67 or &gt;+0.67 Z-scores. Regression was used to estimate and contrast the percentages of weight change due to fat mass change.Results: Approximately 40% of the average weight gain between 0-6 months and 20% of the average weight gain between 3-24 months was due to increase in fat mass. In both samples, compared to the normal group, the proportion of weight gain due to fat mass was higher on average among infants with rapid weight gain and lower among infants with slow weight gain, with considerable individual variability. Conversely, slow and rapid length growth was not associated with differential gains in fat mass.Conclusions: Pediatricians should monitor infant growth with the understanding that, while crossing upward through the weight centiles generally is accompanied by greater adiposity gains (not just higher BMI), upward crossing through the length centiles is not.
DOI: 10.15468/dl.dsxxhn
title: Occurrence Download

description: A dataset containing 177677 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Türkiye",
 {
 "or" : [
 "Geometry POLYGON((16.85277 31.74421,53.14723 31.74421,53.14723 46.25579,16.85277 46.25579,16.85277 31.74421))",
 "Geometry POLYGON((26.65704 39.55787,27.03593 39.55787,27.03593 39.73891,26.65704 39.73891,26.65704 39.55787))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 177677 records from 252 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003410-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14958957
title: appendix - introduction to survey 2

description: This is an appendix for a survey from the paper

Willems, K., Verhulst, N., De Gauquier, L., & Brengman, M. (2023). Frontline employee expectations on working with physical robots in retailing. Journal of Service Management, 34(3), 467-492.  https://doi.org/10.1108/JOSM-09-2020-0340
DOI: 10.5281/zenodo.14958958
title: appendix - introduction to survey 2

description: This is an appendix for a survey from the paper

Willems, K., Verhulst, N., De Gauquier, L., & Brengman, M. (2023). Frontline employee expectations on working with physical robots in retailing. Journal of Service Management, 34(3), 467-492.  https://doi.org/10.1108/JOSM-09-2020-0340
DOI: 10.25592/uhhfdm.11421
title: An Account on Fode Kabaa And Musa Moolo And Their Encounters With The Colonial Rulers (NCAC_RDD_TAPE_0035A)

description: Fode Kabaa Dumbuyaa
 Encounters with colonial rulers
 Musa Moolo


<em><sup>Alternative names: Foday, Kaba, Dumbuya, Mussa, Moussa, Molo, Fatty, Diaye, Ndiaye, N'Diaye, Njie, Njai, Mansour</sup></em>
description: Published by NCAC - National Digital Archive of The Gambia, initiated by University of Hamburg, Asia-Africa-Institute, Germany, funded by Gerda Henkel Foundation, Germany
DOI: 10.25592/uhhfdm.11420
title: An Account on Fode Kabaa And Musa Moolo And Their Encounters With The Colonial Rulers (NCAC_RDD_TAPE_0035A)

description: Fode Kabaa Dumbuyaa
 Encounters with colonial rulers
 Musa Moolo


<em><sup>Alternative names: Foday, Kaba, Dumbuya, Mussa, Moussa, Molo, Fatty, Diaye, Ndiaye, N'Diaye, Njie, Njai, Mansour</sup></em>
description: Published by NCAC - National Digital Archive of The Gambia, initiated by University of Hamburg, Asia-Africa-Institute, Germany, funded by Gerda Henkel Foundation, Germany
DOI: 10.15468/dl.yesh9v
title: Occurrence Download

description: A dataset containing 555 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thuja koraiensis Nakai"
 ]
}

 The dataset includes 555 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003415-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.veksc5
title: Occurrence Download

description: A dataset containing 4618 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Setaria palmifolia (J.Koenig) Stapf)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 4618 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003361-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.