cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15491639
title: TABLE 1 in New tribe-level classification of Hypostominae (Loricariidae) based on optimization of morphological states on DNA-based relationships, with descriptions of three new tribes and two new genera

description: TABLE 1 | Morphometrics and counts for species of Stellantini.
Colossimystax pectegenitor (N = 4)Stellantia siderea (N = 17)MeasurementRangeMeanSDRangeMeanSDStandard length (mm)173.6–241.6216.8–110.7–183.0155.4–Percentages of standard lengthPredorsal length42.0–44.243.51.037.2–39.038.10.5Head length35.9–38.137.00.929.4–31.730.70.6Head-dorsal length5.6–6.86.20.66.9–8.37.70.4Cleithral width29.2–34.131.42.125.1–28.226.40.9Head-pectoral length30.6–32.931.91.224.2–26.825.70.8Thorax length22.9–25.124.01.020.3–25.022.81.1Pectoral-spine length38.3–42.240.11.925.5–32.127.91.4Abdominal length22.3–24.723.51.021.4–23.722.70.7Pelvic-spine length23.1–27.424.72.021.3–24.923.51.0Postanal length27.8–31.529.51.533.5–37.436.11.0Anal-fin spine length11.2–13.312.21.06.9–10.48.00.9Dorsal-pectoral distance24.6–26.425.70.822.7–24.223.60.5Dorsal spine length27.7–35.231.33.628.0–39.934.03.3Dorsal-pelvic distance22.6–25.523.91.517.1–21.920.51.1Dorsal-fin base length34.0–38.035.61.823.7–28.425.91.2Dorsal-adipose distance8.8–11.110.21.016.7–19.518.40.8Adipose-spine length5.6–7.86.61.16.3–9.68.50.8Adipose-up. caudal distance8.9–10.59.60.811.9–17.314.11.5Caudal peduncle Dp.12.1–13.612.70.77.5–9.28.40.4Adipose-low. caudal distance17.4–18.517.80.519.1–23.020.71.0Adipose-anal distance18.9–20.519.80.718.6–21.720.50.8Dorsal-anal distance14.4–16.415.50.911.7–13.813.00.5Pelvic-dorsal distance30.0–34.832.32.523.8–27.225.11.0Percentages head lengthHead-eye length25.3–29.927.51.927.5–36.230.52.7Orbit diameter14.6–16.015.00.615.0–18.116.50.9Snout length66.1–69.168.01.463.0–70.666.82.0Internares width11.0–12.211.40.59.6–12.910.91.0Interorbital width33.0–41.736.83.634.4–49.042.05.0Head Dp.62.8–64.463.40.761.4–68.263.81.7Mouth length49.4–58.452.34.148.4–58.552.82.6Mouth width62.3–75.970.36.259.9–72.765.52.8Barbel length9.3–10.910.10.83.2–8.26.21.4Dentary tooth cup length23.0–27.224.81.821.0–25.523.31.5Premax. tooth cup length21.5–26.524.52.220.4–25.523.31.6CountsRangeMedianRangeMedianPlates in median row24.0–24.024.025–2525Plates in inframedian row23.0–23.023.024–2524Plates in supramedian row24.0–25.024.025–2625.0Dorsal-fin raysI,10–I,11I,10I,7–I,7I,7Pectoral-fin raysI,6–I,6I,6I,6–I,6I,6Pelvic-fin raysi,5–i,5I,5i,5–i,5i,5Anal-fin raysi,5–i,5I,5i,4–i,4i,4Caudal -fin raysi,13,i–i,14,ii,14,ii,14,i–i,14,ii,14,iDentary teeth126–13412863–10281Premaxillary teeth119–16413165–11384
description: Published as part of Armbruster, Jonathan W. & Lujan, Nathan K., 2024, Neotropical Ichthyology 22 (4) on page e 240108, DOI: 10.1590/1982-0224-2024-0108, http://zenodo.org/record/15491542
DOI: 10.25934/pr00010701
title: Fluoxetine/Placebo Trial in Geriatric Patients with Major Depressive Disorder

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/pr00010701.0
title: Available datapackage for study 'Fluoxetine/Placebo Trial in Geriatric Patients with Major Depressive Disorder'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.15468/dl.j62ndx
title: Occurrence Download

description: A dataset containing 413 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Cetradonia linearis (A.Evans) J.C.Wei & Ahti)"
 ]
}

 The dataset includes 413 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014605-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aqhysr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dipterocarpus malaanonan (Blanco) Blanco",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014614-250515123054153/datasets/export for details.
DOI: 10.15468/dl.c49cts
title: Occurrence Download

description: A dataset containing 1154576 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aglaonema nitidum (Jack) Kunth, Ambystoma mavortium Baird, 1850, Anser caerulescens (Linnaeus, 1758), Dendrosenecio johnstonii (Oliv.) B.Nord., Enicostema axillare (Lam.) A.Raynal)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1970"
 ]
}

 The dataset includes 1154576 records from 278 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014594-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.at5szj
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "DatasetKey is Canadian Museum of Nature Bird Collection",
 "Geometry POLYGON((-128.30842 50.87559,-128.30842 50.87559,-125.61884 48.89481,-123.21084 48.31223,-123.68661 49.21523,-125.881 50.5843,-128.30842 50.87559))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Catharus ustulatus (Nuttall, 1840)"
 ]
}

 The dataset includes 20 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014608-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/xs9y-tw46
title: "Meteorological and Remote Sensing Data for Rainfall Forecasting in Rwanda"

description: "A zip folder containing meteorological data obtained from Open-Meteo and satellite based remote sensing data to aid seasonal rainfall analysis in Rwanda. Duration of each time series is from January 1, 2008 to December 31, 2024. The folder contained 8 weather data from Open Meteo: daylight duration, daily rainfall sum, relative humidity, shortwave radiation sum, sunshine duration, maximum temperature at 2m, dominant wind direction at 10m, and maximum wind speed at 10m. The folder also contained 5 time series obtained from satellite imagery: enhanced vegetation index (EVI), day land surface temperature, daily rainfall, soil moisture, and solar radiation. All time series are obtained for the 416 sectors in Rwanda, hence the *.csv files have 416 columns. The zip folder also has shape files for the sectors in Rwanda used for obtaining this data."
DOI: 10.15468/dl.pzk5n7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dipterocarpus mangachapoi (Blanco) Blanco",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014617-250515123054153/datasets/export for details.
DOI: 10.15468/dl.bg6csm
title: Occurrence Download

description: A dataset containing 654 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Flora y Fauna asociada a servicios ecosistémicos de polinización y zoocoria para 10 remanentes de bosque seco tropical en el Valle del Cauca"
 ]
}

 The dataset includes 654 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014611-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15491645
title: Supplementary Results for Anonymous Paper Submission
DOI: 10.5281/zenodo.15491646
title: Supplementary Results for Anonymous Paper Submission
DOI: 10.5281/zenodo.15490946
title: Evolution of resistance breaking in spinach downy mildew revealed through pangenome graph analysis

description: Data produced for the comparison of 19 Peronospora effusa isolates. For each isolate, we provide the genome assemblies, gene and repeat annotation, and phased variation. The 19 genomes were used to create a pangenome graph. The phased variants were used to phase chromosome 9 for all isolates, which was also used to create a pangenome graph.
DOI: 10.15468/dl.gwwbj5
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Aotus lemurinus I.Geoffroy Saint-Hilaire, 1843)",
 "StateProvince is one of (tolima)"
 ]
 }
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014609-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/vst3-3a22
title: "StarBASE-GP IEEE TEVC 2025"

description: "We present the Star-Based Automated Single-locus and Epistasis analysis tool \u2013 Genetic Programming (StarBASE-GP), an automated framework for discovering biologically meaningful genetic variants associated with phenotypic variation in large-scale genomic datasets. StarBASE-GP uses a genetic programming\u2013based multi-objective optimization strategy to evolve machine learning pipelines that simultaneously maximize explanatory power ($r^2$) and minimize pipeline complexity. Biological domain knowledge is integrated at multiple stages, including the use of nine inheritance encoding strategies to model deviations from additivity, a custom linkage disequilibrium pruning node that reduces redundancy among features, and a dynamic variant recommendation system that prioritizes informative candidates for pipeline inclusion. We evaluate StarBASE-GP on a cohort of \\textit{Rattus norvegicus} (brown rat) to identify variants associated with body mass index, benchmarking its performance against a random baseline and a biologically na\u00efve version of the tool. StarBASE-GP consistently evolves Pareto fronts with superior performance, yielding higher precision in identifying both ground truth and novel quantitative trait loci, highlighting relevant targets for future validation. By incorporating evolutionary search and relevant biological theory into a flexible automated machine learning framework, StarBASE-GP demonstrates robust potential for advancing variant discovery in complex traits."
DOI: 10.15468/dl.3jqrpa
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dipterocarpus mannii King ex U.N.Kanjilal, P.C.Kanjilal & Das",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014619-250515123054153/datasets/export for details.
DOI: 10.3886/e158081v1
title: Real-Time Population Survey

description: The Real-Time Population Survey (RPS) is a national labor market survey of US adults aged 18-64 following the core questionnaire of the Current Population Survey (CPS), supplemented with additional questions (e.g., about commuting behavior and employer tenure). Separate waves of the survey were conducted each month between April 2020 and June 2021.<br>
description: Sample weights were constructed using an iterative proportional fitting (raking) algorithm based on Deming and Stephan (1940) to match the distribution of initial targets, finer categories for some variables and interactions with sex. We provide two different sets of weights, which conditional on additional variables, for details and references see the readme file.<br> <br>
description: The RPS derives its sample from an online panel provided by Qualtrics. <br><br>The sample was targeted to be nationally representative for the U.S. for the age group 18-64 along several broad demographic characteristics: gender, age, race and ethnicity, education, marital status, number of children in the household, Census region, and household income in 2019. <br>The targets were based on the following categories: Age: 18-24, 25-34, 35-44, 45-54, 55-64; Race and ethnicity: non-Hispanic White, non-Hispanic Black, Hispanic, other; Education: high school or less, some college or associate degree, bachelor’s degree or more; Marital status: married or not; Number of children in the household: 0, 1, 2, 3 or more; Census region: Midwest, Northeast, South and West; Annual household income in 2019: &lt;$50k, $50k-100k, &gt;$100k.
description: Age group 18-64<br>. Smallest Geographic Unit: US States
description: web-based survey;
DOI: 10.3886/e158081v1-109220
title: Real-Time Population Survey

description: The Real-Time Population Survey (RPS) is a national labor market survey of US adults aged 18-64 following the core questionnaire of the Current Population Survey (CPS), supplemented with additional questions (e.g., about commuting behavior and employer tenure). Separate waves of the survey were conducted each month between April 2020 and June 2021.<br>
description: Sample weights were constructed using an iterative proportional fitting (raking) algorithm based on Deming and Stephan (1940) to match the distribution of initial targets, finer categories for some variables and interactions with sex. We provide two different sets of weights, which conditional on additional variables, for details and references see the readme file.<br> <br>
description: The RPS derives its sample from an online panel provided by Qualtrics. <br><br>The sample was targeted to be nationally representative for the U.S. for the age group 18-64 along several broad demographic characteristics: gender, age, race and ethnicity, education, marital status, number of children in the household, Census region, and household income in 2019. <br>The targets were based on the following categories: Age: 18-24, 25-34, 35-44, 45-54, 55-64; Race and ethnicity: non-Hispanic White, non-Hispanic Black, Hispanic, other; Education: high school or less, some college or associate degree, bachelor’s degree or more; Marital status: married or not; Number of children in the household: 0, 1, 2, 3 or more; Census region: Midwest, Northeast, South and West; Annual household income in 2019: &lt;$50k, $50k-100k, &gt;$100k.
description: Age group 18-64<br>. Smallest Geographic Unit: US States
description: web-based survey;
DOI: 10.3886/e158081v2
title: Real-Time Population Survey

description: The Real-Time Population Survey (RPS) is a national labor market survey of US adults aged 18-64 following the core questionnaire of the Current Population Survey (CPS), supplemented with additional questions (e.g., about commuting behavior and employer tenure). Separate waves of the survey were conducted each month between April 2020 and June 2021.<br>
description: Sample weights were constructed using an iterative proportional fitting (raking) algorithm based on Deming and Stephan (1940) to match the distribution of initial targets, finer categories for some variables and interactions with sex. We provide two different sets of weights, which conditional on additional variables, for details and references see the readme file.<br> <br>
description: The RPS derives its sample from an online panel provided by Qualtrics. <br><br>The sample was targeted to be nationally representative for the U.S. for the age group 18-64 along several broad demographic characteristics: gender, age, race and ethnicity, education, marital status, number of children in the household, Census region, and household income in 2019. <br>The targets were based on the following categories: Age: 18-24, 25-34, 35-44, 45-54, 55-64; Race and ethnicity: non-Hispanic White, non-Hispanic Black, Hispanic, other; Education: high school or less, some college or associate degree, bachelor’s degree or more; Marital status: married or not; Number of children in the household: 0, 1, 2, 3 or more; Census region: Midwest, Northeast, South and West; Annual household income in 2019: &lt;$50k, $50k-100k, &gt;$100k.
description: Age group 18-64<br>. Smallest Geographic Unit: US States
description: web-based survey;
DOI: 10.3886/e158081v3
title: Real-Time Population Survey

description: The Real-Time Population Survey (RPS) is a national labor market survey of US adults aged 18-64 following the core questionnaire of the Current Population Survey (CPS), supplemented with additional questions (e.g., about commuting behavior and employer tenure). Separate waves of the survey were conducted each month between April 2020 and June 2021.<br>
description: Sample weights were constructed using an iterative proportional fitting (raking) algorithm based on Deming and Stephan (1940) to match the distribution of initial targets, finer categories for some variables and interactions with sex. We provide two different sets of weights, which conditional on additional variables, for details and references see the readme file.<br> <br>
description: The RPS derives its sample from an online panel provided by Qualtrics. <br><br>The sample was targeted to be nationally representative for the U.S. for the age group 18-64 along several broad demographic characteristics: gender, age, race and ethnicity, education, marital status, number of children in the household, Census region, and household income in 2019. <br>The targets were based on the following categories: Age: 18-24, 25-34, 35-44, 45-54, 55-64; Race and ethnicity: non-Hispanic White, non-Hispanic Black, Hispanic, other; Education: high school or less, some college or associate degree, bachelor’s degree or more; Marital status: married or not; Number of children in the household: 0, 1, 2, 3 or more; Census region: Midwest, Northeast, South and West; Annual household income in 2019: &lt;$50k, $50k-100k, &gt;$100k.
description: Age group 18-64<br>. Smallest Geographic Unit: US States
description: web-based survey;
DOI: 10.3886/e158081v4
title: Real-Time Population Survey

description: The Real-Time Population Survey (RPS) is a national labor market survey of US adults aged 18-64 following the core questionnaire of the Current Population Survey (CPS), supplemented with additional questions (e.g., about commuting behavior and employer tenure). Separate waves of the survey were conducted each month between April 2020 and June 2021.<br>
description: Sample weights were constructed using an iterative proportional fitting (raking) algorithm based on Deming and Stephan (1940) to match the distribution of initial targets, finer categories for some variables and interactions with sex. We provide two different sets of weights, which conditional on additional variables, for details and references see the readme file.<br> <br>
description: The RPS derives its sample from an online panel provided by Qualtrics. <br><br>The sample was targeted to be nationally representative for the U.S. for the age group 18-64 along several broad demographic characteristics: gender, age, race and ethnicity, education, marital status, number of children in the household, Census region, and household income in 2019. <br>The targets were based on the following categories: Age: 18-24, 25-34, 35-44, 45-54, 55-64; Race and ethnicity: non-Hispanic White, non-Hispanic Black, Hispanic, other; Education: high school or less, some college or associate degree, bachelor’s degree or more; Marital status: married or not; Number of children in the household: 0, 1, 2, 3 or more; Census region: Midwest, Northeast, South and West; Annual household income in 2019: &lt;$50k, $50k-100k, &gt;$100k.
description: Age group 18-64<br>. Smallest Geographic Unit: US States
description: web-based survey;
DOI: 10.3886/e158081v4-130582
title: Real-Time Population Survey

description: The Real-Time Population Survey (RPS) is a national labor market survey of US adults aged 18-64 following the core questionnaire of the Current Population Survey (CPS), supplemented with additional questions (e.g., about commuting behavior and employer tenure). Separate waves of the survey were conducted each month between April 2020 and June 2021.<br>
description: Sample weights were constructed using an iterative proportional fitting (raking) algorithm based on Deming and Stephan (1940) to match the distribution of initial targets, finer categories for some variables and interactions with sex. We provide two different sets of weights, which conditional on additional variables, for details and references see the readme file.<br> <br>
description: The RPS derives its sample from an online panel provided by Qualtrics. <br><br>The sample was targeted to be nationally representative for the U.S. for the age group 18-64 along several broad demographic characteristics: gender, age, race and ethnicity, education, marital status, number of children in the household, Census region, and household income in 2019. <br>The targets were based on the following categories: Age: 18-24, 25-34, 35-44, 45-54, 55-64; Race and ethnicity: non-Hispanic White, non-Hispanic Black, Hispanic, other; Education: high school or less, some college or associate degree, bachelor’s degree or more; Marital status: married or not; Number of children in the household: 0, 1, 2, 3 or more; Census region: Midwest, Northeast, South and West; Annual household income in 2019: &lt;$50k, $50k-100k, &gt;$100k.
description: Age group 18-64<br>. Smallest Geographic Unit: US States
description: web-based survey;