cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e158081v5
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. Since then the RPS has been run two to three times per year.<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/e158081
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. Since then the RPS has been run two to three times per year.<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/e158081v7
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. Since then the RPS has been run two to three times per year.<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/e158081v6
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. Since then the RPS has been run two to three times per year.<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: 10.15468/dl.8praap
title: Occurrence Download

description: A dataset listing the 4 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((34.98302 32.82049,34.9955 32.82049,34.9955 32.82789,34.98302 32.82789,34.98302 32.82049))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset's 4 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014613-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j7q9ep
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dipterocarpus marginatus Korth.",
 "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/0014623-250515123054153/datasets/export for details.
DOI: 10.15468/dl.a397fg
title: Occurrence Download

description: A dataset containing 92147 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Academy of Natural Sciences Entomology Collection – OrthopNet"
 ]
}

 The dataset includes 92147 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014615-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.arsq6m
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/0014616-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tk2bms
title: Occurrence Download

description: A dataset containing 2117069 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-116.997338329568 34.2391895225225, -116.902661670432 34.2391895225225, -116.902661670432 34.1941444774775, -116.997338329568 34.1941444774775, -116.997338329568 34.2391895225225))",
 "TaxonKey is one of (Arthropoda, Tracheophyta, Aves)",
 "BasisOfRecord is one of (Human Observation)"
 ]
}

 The dataset includes 2117069 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014583-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nyg9m2
title: Occurrence Download

description: A dataset containing 2269472 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hordeum vulgare L., Bipolaris victoriae (F.Meehan & H.C.Murphy) Shoemaker, Grus americana (Linnaeus, 1758), Grus nigricollis Prjevalsky, 1876, Odocoileus hemionus (Rafinesque, 1817), Eisenia fetida (Savigny, 1826), Pratylenchus bolivianus Corbett, 1983, Quinisulcius capitatus (Allen, 1955) Siddiqi, 1971, Pyrenophora avenae S.Ito & Kurib., Heterodera hordecalis Andersson, 1975, Drechslera avenacea (M.A.Curtis ex Cooke) Shoemaker, Hemicycliophora thienemanni (Schneider, 1925) Loos, 1948, Punctodera chalcoensis Stone, Sosa Moss & Mulvey, 1976, Heterodera latipons Franklin, 1969, Heterodera avenae Wollenweber, 1924, Leptosphaeria avenaria G.F.Weber, Pratylenchus thornei Sher & Allen, 1953, Tilletia laevis J.G.Kühn, Ustilago hordei (Pers.) Lagerh., Tscherskia triton (de Winton, 1899), Sylvilagus bachmani (Waterhouse, 1839), Pedetes capensis (Forster, 1778), Pyrenophora seminiperda (Brittleb. & D.B.Adam) Shoemaker, Chytriomyces hyalinus Karling, Agromyza ambigua Fallén, 1823, Diplophlyctis intestina (Schenk) J.Schröt., Oscinella frit (Linnaeus, 1758), Cephus pygmeus (Linnaeus, 1767), Sitobion avenae avenae, Oulema septentrionis (Weise, 1880), Patagioenas fasciata (Say, 1822), Diplophlyctis laevis Sparrow, Persectania ewingii Westwood, 1839, Oria musculosa Hübner, 1808, Megacraspedus dolosellus (Zeller, 1839), Ptochostola microphaeellus (Walker, 1866), Mesapamea secalis (Linnaeus, 1758), Metadelphax argentinensis (Muir, 1929), Chionomus haywardi (Muir, 1929), Maiestas oryzae (Matsumura, 1902), Leucania latiuscula Herrich-Schäffer, 1868, Selenocephalus obsoletus obsoletus, Javesella pellucida (Fabricius, 1794), Metadelphax propinquus (Fieber, 1866), Draeculacephala mollipes (Say, 1830), Agalmatium bilobum (Fieber, 1877), Maiestas dorsalis (Motschulsky, 1859), Dargida procinctus Grote, 1873, Asiraca clavicornis (Fabricius, 1794), Oryctolagus cuniculus (Linnaeus, 1758))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2269472 records from 4192 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014597-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aybpmk
title: Occurrence Download

description: A dataset containing 5277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dianthus gratianopolitanus Vill.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5277 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089307-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vnkeeu
title: Occurrence Download

description: A dataset containing 543 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hilaria cenchroides Kunth)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 543 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089308-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bymczj
title: Occurrence Download

description: A dataset containing 13709 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chasmanthium latifolium (Michx.) H.O.Yates)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13709 records from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089310-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vqrz6r
title: Occurrence Download

description: A dataset containing 20041 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Viscaria alpina (L.) G.Don)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20041 records from 228 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089309-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e2y6bw
title: Occurrence Download

description: A dataset containing 293 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Melica aristata Thurb. ex Bol.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 293 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089311-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qmxps7
title: Occurrence Download

description: A dataset containing 6024 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Spergula arvensis subsp. arvensis)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6024 records from 170 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089312-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zmkjfj
title: Occurrence Download

description: A dataset containing 1306 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Melica altissima L.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1306 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089313-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ebuqqy
title: Occurrence Download

description: A dataset containing 3545 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Chile",
 "TaxonKey is Orchidaceae"
 ]
}

 The dataset includes 3545 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089314-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kgfk9w
title: Occurrence Download

description: A dataset containing 268 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nematanthus crassifolius (Schott) Wiehler)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 268 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089315-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17597/isas.darts/vco-00002
title: Venus Climate Orbiter Akatsuki UVI Raw Data PDS3 dataset

description: This dataset contains products acquired by the UVI instrument of the Venus Climate Orbiter (VCO, also known as PLANET-C and AKATSUKI) spacecraft. This dataset conforms PDS3 Standard. This dataset uses the Committee on Data Management and Computation (CODMAC) data level numbering system. The UVI EDRs are considered Level 2 or Edited Data (equivalent to NASA Level 1A). The EDRs are reconstructed from Level 1 or Raw Data. This dataset consists entirely of FITS files. Uncalibrated images in units of counts are included. The headers of the FITS files are included as part of the dataset, and much of the FITS header information is reproduced in the PDS labels.
DOI: 10.5281/zenodo.10028958
title: Scripts and analysis files for categorization of PKZILLA matching proteomic peptides into protein-unique, protein-multimatch & exon-unique, exon-multimatch categories.

description: A .zip file containing the source data files & Jupyter notebook for analysis of the Prymnesium parvum 12B1 PKZILLA-detecting proteomic results (https://doi.org/10.5281/zenodo.10023441), and the resulting files from the workflow. See "Analysis of proteomic results" section of the manuscript Materials and Methods for further detail. 

Key files:



'PKZILLA-1_classify_peptides.txt' - A plaintext report of the # of classified peptides for PKZILLA-1

'PKZILLA-2_classify_peptides.txt' - A plaintext report of the # of classified peptides for PKZILLA-2

'./hierarchical_classified_xlsx/' - Excel spreadsheets with the classified peptides for PKZILLA-1 and PKZILLA-2

'./Process_into_polypeptide_coordinates/' - Workflow, results, and plots for back-alignment of peptides back to PKZILLA-1 and PKZILLA-2 genomic loci
DOI: 10.5281/zenodo.10028959
title: Scripts and analysis files for categorization of PKZILLA matching proteomic peptides into protein-unique, protein-multimatch & exon-unique, exon-multimatch categories.

description: A .zip file containing the source data files & Jupyter notebook for analysis of the Prymnesium parvum 12B1 PKZILLA-detecting proteomic results (https://doi.org/10.5281/zenodo.10023441), and the resulting files from the workflow. See "Analysis of proteomic results" section of the manuscript Materials and Methods for further detail. 
Key files:

'PKZILLA-1_classify_peptides.txt' - A plaintext report of the # of classified peptides for PKZILLA-1
'PKZILLA-2_classify_peptides.txt' - A plaintext report of the # of classified peptides for PKZILLA-2
'./hierarchical_classified_xlsx/' - Excel spreadsheets with the classified peptides for PKZILLA-1 and PKZILLA-2
DOI: 10.15468/dl.gvreza
title: Occurrence Download

description: A dataset containing 798 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Melica bulbosa Porter & J.M.Coult.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 798 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089316-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/gmecv2
title: World Lizard Day 2023: Monitor Lizard (Varanus spp.) Count in India

description: Monitor Lizards of the Varanidae family are a diverse group of reptiles of the Squamata order, representing the ancient group of anguimorph reptiles. Distributed throughout Africa, South and Southeast Asia, and Australasia. They serve as predators and scavengers in local ecosystems. According to the IUCN, the Yellow Monitor (Varanus flavescens) is declared endangered (EN), and the Bengal Monitor (Varanus bengalensis) is categorized as Nearly Threatened (NT). Asian Water Monitor (Varanus salvator) and Desert Monitor (Varanus griseus) are still listed under Least Concern (LC). In India, all four species fall under Schedule I Part II of the Indian Wildlife Protection Act (1972). Monitor Lizards have been fascinating species in the reptile class. Their morphological characteristics, behavior, and coexistence within human settlement have been a reason for much research about these lizards. Recent scenarios show that the population of different species are declining due to urban sprawling, habitat degradation, habitat fragmentation, overuse of pesticides and many other reasons.

As initiated in 2022 and the remarkable response we received, we are back again with the Monitor Lizard (Varanus spp.) count for 2023 to understand the current population and distribution pattern of Monitor lizards all over India and to educate the citizens about these species by involving them in this counting process.
DOI: 10.15468/dl.vkra4m
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Kohleria amabilis (Planch. & Linden) Fritsch)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 84 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089317-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ts5m8g
title: Occurrence Download

description: A dataset containing 890 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Achimenes longiflora DC.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 890 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089319-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17597/isas.darts/vco-00001
title: Venus Climate Orbiter Akatsuki SPICE Kernel PDS3 dataset

description: This dataset includes the complete set of Venus Climate Orbiter (VCO, also known as PLANET-C and AKATSUKI) SPICE data files, i.e., kernel files, for the cruise, the sun orbiting, and the science phase(s) of the mission. The SPICE data files, which can be accessed using SPICE software, contain geometric and other ancillary information needed to recover the full value of the science instrument data. In particular SPICE kernels provide spacecraft and planetary ephemerides, instrument mounting alignments, spacecraft orientation, spacecraft sequences of events, and data needed for relevant time conversions. This dataset is compliant with the PDS3 Standards, and is superseded by Venus Climate Orbiter Akatsuki SPICE Kernel Archive Bundle which is compliant with the PDS4 Standards.