cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.nrp7bp
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hildegardia barteri",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 75 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005262-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y67vz2
title: Occurrence Download

description: A dataset containing 393 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Nepal",
 "OccurrenceStatus is Present",
 "TaxonKey is Rusa unicolor"
 ]
}

 The dataset includes 393 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005266-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qamzf7
title: Occurrence Download

description: A dataset containing 7578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Living Specimen, Human Observation)",
 "Continent is South America",
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Decapoda"
 ]
}

 The dataset includes 7578 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005267-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pg8ntq
title: Occurrence Download

description: A dataset containing 199 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hoheria angustifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 199 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005269-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wfvjd4
title: Occurrence Download

description: A dataset containing 856635 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Xeno-canto - Bird sounds from around the world",
 "MediaType is Audio"
 ]
}

 The dataset includes 856635 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005254-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gj5h5q
title: Occurrence Download

description: A dataset containing 356 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Howittia trilocularis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 356 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005272-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/srpmp7
title: Checklist of vascular plants indicated for the Komi Republic on maps in Flora Severo-Vostoka... (Tolmatchev, 1974-1977): accepted names

description: A list of the tracheophyte names accepted in "Flora Severo-Vostoka Evropeyskoy Chasti SSSR" [= Flora Regionis Boreali-Orientalis Territoriae Europaeae URSS] (Tolmatchev, 1974-1977) and indicated on maps for the Komi Republic. Novaya Zemlya and Franz Josef Land are not covered by this source. Only maps are used as a data source for this dataset. Additional regional records from the text will be incorporated later. The dataset was compiled as a first step towards further processing of the modern checklist for the Komi Republic, Russia.Stable archival version (not edited, not curated).The dataset includes 1,145 accepted species, subspecies and variety names, as well as mapped intermediate forms (hybrids). Cultivated plants are discarded. Taxonomic names were taken from the maps and not cross-checked with text and index of the original source (four volumes published in 1974-1977).Several minor orthographic errors in either scientific names or their authors were corrected manually. Some names were not automatically cross-linked with the GBIF backbone.
DOI: 10.5281/zenodo.18447789
title: Cloud Cost and Carbon Intensity Data Correlation
DOI: 10.5281/zenodo.18447790
title: Cloud Cost and Carbon Intensity Data Correlation
DOI: 10.15468/dl.ks77ej
title: Occurrence Download

description: A dataset containing 628 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alces alces americana"
 ]
}

 The dataset includes 628 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005274-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rke64b
title: Occurrence Download

description: A dataset containing 158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydrogaster trinervis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 158 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005277-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2apz2
title: Occurrence Download

description: A dataset containing 7261 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Xeno-canto - Chiroptera sounds from around the world",
 "MediaType is Audio"
 ]
}

 The dataset includes 7261 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005276-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gy3ka8
title: Occurrence Download

description: A dataset containing 3161 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Xeno-canto - Anura sounds from around the world",
 "MediaType is Audio"
 ]
}

 The dataset includes 3161 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005282-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7mqcas
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Indagator fordii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 47 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005283-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fwfkku
title: Occurrence Download

description: A dataset containing 27624 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is South America",
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Decapoda"
 ]
}

 The dataset includes 27624 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005281-260129131611470/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.31224007.v1
title: Data for "Improving Spectral Resolution from Real-time Evolution for Correlated Systems"

description: This dataset contains simulated lesser Green’s functions computed using the time-dependent density matrix renormalization group (tDMRG) method for the two models studied in the paper <i>“Improving Spectral Resolution from Real-time Evolution for Correlated Systems”</i>:<code>hubbard_green_raw.npy</code><br>A NumPy array of shape (800, 120) containing the lesser Green’s function for a 120-site Hubbard model, evolved for 800 real-time steps. The time step size is 0.025.<code>hubbard-holstein_green_raw.npy</code><br>A NumPy array of shape (400, 80) containing the lesser Green’s function for an 80-site Hubbard–extended Holstein model, evolved for 400 real-time steps. The time step size is 0.05.The data are stored as complex-valued arrays with dimensions ordered as (time index, site index). All model parameters and numerical details of the tDMRG simulations are described in the associated paper.
DOI: 10.6084/m9.figshare.31224007
title: Data for "Improving Spectral Resolution from Real-time Evolution for Correlated Systems"

description: This dataset contains simulated lesser Green’s functions computed using the time-dependent density matrix renormalization group (tDMRG) method for the two models studied in the paper <i>“Improving Spectral Resolution from Real-time Evolution for Correlated Systems”</i>:<code>hubbard_green_raw.npy</code><br>A NumPy array of shape (800, 120) containing the lesser Green’s function for a 120-site Hubbard model, evolved for 800 real-time steps. The time step size is 0.025.<code>hubbard-holstein_green_raw.npy</code><br>A NumPy array of shape (400, 80) containing the lesser Green’s function for an 80-site Hubbard–extended Holstein model, evolved for 400 real-time steps. The time step size is 0.05.The data are stored as complex-valued arrays with dimensions ordered as (time index, site index). All model parameters and numerical details of the tDMRG simulations are described in the associated paper.
DOI: 10.15468/dl.xpyq5u
title: Occurrence Download

description: A dataset containing 33542 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Xeno-canto - Orthoptera sounds from around the world",
 "MediaType is Audio"
 ]
}

 The dataset includes 33542 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005286-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vbnn24
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Julostylis angustifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005287-260129131611470/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.31224076
title: Aligned files of A new species of <i>Lactarius</i> and a new record of <i>Lactifluus roseophyllys</i> from Meghalaya, India

description: This dataset contains aligned combined (nrITS+nrLSU) sequence data of two wild mushrooms (Lactarius hooket and Lactifluus roseophyllus) from the state of Meghalaya, India. The study aimed to identify and classify a wild mushroom using integrative morphotaxonomy and multigene molecular phylogeny.
DOI: 10.6084/m9.figshare.31224076.v1
title: Aligned files of A new species of <i>Lactarius</i> and a new record of <i>Lactifluus roseophyllys</i> from Meghalaya, India

description: This dataset contains aligned combined (nrITS+nrLSU) sequence data of two wild mushrooms (Lactarius hooket and Lactifluus roseophyllus) from the state of Meghalaya, India. The study aimed to identify and classify a wild mushroom using integrative morphotaxonomy and multigene molecular phylogeny.
DOI: 10.15468/dl.wqgm6s
title: Occurrence Download

description: A dataset containing 628 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alces alces americana"
 ]
}

 The dataset includes 628 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005289-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.85td6z
title: Occurrence Download

description: A dataset containing 713 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kleinhovia hospita",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 713 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005291-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ujusx3
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arotonaias imbricata"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005294-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2wjh8f
title: Occurrence Download

description: A dataset containing 13844 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Xeno-canto - Soundscapes from around the world",
 "MediaType is Audio"
 ]
}

 The dataset includes 13844 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005290-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6a2q7b
title: Occurrence Download

description: A dataset containing 260285 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Culex pipiens)"
 ]
}

 The dataset includes 260285 records from 332 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005234-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14473/csda/wgcgsk
title: Pilotní covidová studie výzkumu „GGP: Současná česká rodina“

description: Panelové výběrové šetření „Generations and Gender Survey“ (GGS) poskytuje mikrodata, která lze využít mimo jiné ke zkoumání dynamiky partnerských vztahů, přechodu do dospělosti, plodnosti, sítí péče a podpory, rozdělení domácích prací či rovnováhy mezi prací a rodinou. Tato data jsou zdrojem pro pochopení základních společenských problémů v Evropě i mimo ni, a to s cílem přispět k řešení aktuálních společenských výzev i výzev veřejných politik.
Klíčové znaky výzkumu GGS jsou:
– Mezinárodní srovnatelnost: Komparativní zaměření GGS umožňuje analyzovat způsoby, jakými politika, kultura a ekonomické okolnosti ovlivňují vztahy mezi muži a ženami či mezi mladými a starými lidmi.
– Longitudinální design: GGS používá panelový design (sběr dat probíhá u stejných osob vždy v tříletých intervalech), což umožňuje zkoumat příčiny a důsledky nerovností mezi pohlavími a generacemi.
– Velký vzorek: GGS má v průměru až 10.000 respondentů v každé zemi, což umožňuje studovat i menšiny a neobvyklé události.
– Široké věkové rozpětí: GGS shromažďuje data o celém životním cyklu prostřednictvím dotazování respondentů ve věku 18 až 79 let. Umožňuje také analýzu více generací tím, že klade rozsáhlé otázky týkající se mezigenerační výměny a podpory.
– Kombinace mikro a makrodat: Vedle mikrodat shromážděných prostřednictvím jednotlivých šetření má GGS k dispozici kontextovou databázi s více než 100 ukazateli, které pokrývají nejen rok šetření, ale také retrospektivní ukazatele za posledních 40 let, které lze použít vedle retrospektivních data z průzkumů. 
– Teoreticky založený a multidisciplinární dotazník: Dotazník GGS je vyvíjen týmem předních sociálních vědců z oblasti demografie, sociologie a ekonomie. Dotazník se snaží spojit širokou škálu témat, která zkoumají příčiny a důsledky změn v rodině.

Tato data jsou covidovou pilotní studii provedenou v České republice před započetím sběru dat pro druhé kolo panelového výběrového šetření „Generations and Gender Survey“ (GGS).

V datovém archivu ČSDA jsou uložena jen metadata (informace o výzkumu). Data z pilotní covidové studie výzkumu „Současná česká rodina“ jsou zdarma přístupná v centrálním archivu GGP. Pro získání přístupu je nutné se zaregistrovat do „GGP User Space“ na adrese https://www.ggp-i.org/. Následně je nutné vyplnit formulář žádosti o přístup k datům „Czech Republic - GGP 2020 - Czech Republic - Pilot“ a zaslat e-mailem podepsaný souhlas s podmínkami pro využívání dat.
description: IBM SPSS Statistics, 25
DOI: 10.5281/zenodo.18450028
title: Replication package - A hybrid empirical study combining surveys and interviews on prioritizing feature requests from user app reviews in the context of agile mobile app development

description: Abstract: Mobile software development practitioners spend extensive effort prioritizing feature requests extracted from app reviews. However, empirical studies to explore or explain how, in the context of Mobile Software Development (which is inherently agile), practitioners prioritize feature requests extracted from user reviews are missing. Given the complete lack of empirical studies in the context of Agile Mobile Software Development (AMSD), there is a need for such research to inform researchers about feature request prioritization strategies (factors, metrics, methods, techniques, patterns, and approaches) in AMSD. This research study aims to fill this gap in understanding how practitioners handle feature requests extracted from app reviews and how they prioritize them in AMSD. We used a hybrid empirical approach: a survey of 169 respondents and 12 interviews, which clarified or complemented survey elements. Respondents came from 10 medium and large-sized mobile app companies. We followed best practices in conducting both. Results from surveys and interviews were combined to produce insights. The study found that (1) the importance of prioritization factors varies, influenced by multiple considerations: app (e.g., app store platform), organization (e.g., market status), and time (regulator’s deadlines). (2) Ranking and classification are the most common combined techniques. (3) Enhancement feature requests are addressed first. (4) User justification as a prioritization factor remains understudied. This study is the first to explore feature request prioritization in AMSD. Our findings show interesting insights for practitioners, leaders, and researchers, along with actionable recommendations for industry.
DOI: 10.5281/zenodo.18450027
title: Replication package - A hybrid empirical study combining surveys and interviews on prioritizing feature requests from user app reviews in the context of agile mobile app development

description: Abstract: Mobile software development practitioners spend extensive effort prioritizing feature requests extracted from app reviews. However, empirical studies to explore or explain how, in the context of Mobile Software Development (which is inherently agile), practitioners prioritize feature requests extracted from user reviews are missing. Given the complete lack of empirical studies in the context of Agile Mobile Software Development (AMSD), there is a need for such research to inform researchers about feature request prioritization strategies (factors, metrics, methods, techniques, patterns, and approaches) in AMSD. This research study aims to fill this gap in understanding how practitioners handle feature requests extracted from app reviews and how they prioritize them in AMSD. We used a hybrid empirical approach: a survey of 169 respondents and 12 interviews, which clarified or complemented survey elements. Respondents came from 10 medium and large-sized mobile app companies. We followed best practices in conducting both. Results from surveys and interviews were combined to produce insights. The study found that (1) the importance of prioritization factors varies, influenced by multiple considerations: app (e.g., app store platform), organization (e.g., market status), and time (regulator’s deadlines). (2) Ranking and classification are the most common combined techniques. (3) Enhancement feature requests are addressed first. (4) User justification as a prioritization factor remains understudied. This study is the first to explore feature request prioritization in AMSD. Our findings show interesting insights for practitioners, leaders, and researchers, along with actionable recommendations for industry.
DOI: 10.15468/dl.j3ufc2
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kokia drynarioides",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 14 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005295-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3a2avs
title: Occurrence Download

description: A dataset containing 628 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alces alces americana"
 ]
}

 The dataset includes 628 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005297-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sakuzk
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kostermansia malayana",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005298-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zq5y8z
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holtbyrnia macrops Maul, 1957",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((44.6841 -13.2744,44.9648 -13.45,44.9648 -12.0572,44.6243 -11.5921,43.9413 -11.6518,43.8001 -11.0974,43.4999 -10.8854,43.0582 -10.9337,42.804 -11.2068,42.7621 -11.9579,43.3325 -12.7962,44.5603 -12.8747,44.6841 -13.2744))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010206-250525065834625/datasets/export for details.