cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23668/psycharchives.5259
title: Dataset for: Studieren in der Pandemie

description: Im Sommersemester 2021 führte die Universität Trier gemeinsam mit dem Leibniz-Institut für Psychologie (ZPID) die Umfrage „Studieren in der Pandemie“ durch, um die bis dato anekdotischen Erfahrungen mit der Corona-Pandemie sowie die Herausforderungen des digitalen Studiums systematisch zu erfassen und zu quantifizieren. Die Befragung konzentrierte sich auf die studentische Perspektive hinsichtlich Belastungsfaktoren im und außerhalb des Studiums, angewandter Bewältigungsstrategien, psychischem Wohlbefinden, der Wahrnehmung von Unterstützungsangeboten sowie dem Vertrauen in das Corona-Management der Universität. Die hierdurch gewonnen Erkenntnisse sollen einer Verbesserung der Rahmenbedingungen bzw. einer optimalen Unterstützung der Studenten und Studentinnen dienen. Die Datei Daten Studieren in der Pandemie anonymisiert.csv enthält die anonymisierten Ergebnisdaten im CSV-Format. Sämtliche Daten, die zusammengenommen ein Restrisiko der Re-Identifikation einzelner Befragungsteilnehmer/-innen darstellen (z. B. Alter und Geschlecht sowie bestimmte Freitext-Antworten), wurden aus Datenschutzgründen entfernt. Die Datei Codebook Studieren in der Pandemie.pdf enthält Details zu den einzelnen Items inkl. der genauen Wortlaute.
DOI: 10.15468/dl.g7bqhp
title: Occurrence Download

description: A dataset containing 768 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepadogaster lepadogaster (Bonnaterre, 1788)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 768 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017660-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23668/psycharchives.5264
title: Datatset for: Gender and TPB constructs: Intention to start a business

description: Standardized CAMA dataset based on: Steinmetz, H., Isidor, R., & Bauer, C. (2021). Gender Differences in the Intention to Start a Business. Zeitschrift Für Psychologie, 229(1), 70–84. https://doi.org/10.1027/2151-2604/a000435
DOI: 10.15468/dl.c9x4up
title: Occurrence Download

description: A dataset containing 833709 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is AMNH Bird Collection"
 ]
}

 The dataset includes 833709 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017646-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ym5d5p
title: Occurrence Download

description: A dataset containing 27290 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bird Monitoring Data"
 ]
}

 The dataset includes 27290 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017659-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9wvwka
title: Occurrence Download

description: A dataset containing 2357 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Danthonia californica Bol.",
 "Geometry POLYGON((-141 24, -53 24, -53 83, -141 83, -141 24))"
 ]
}

 The dataset includes 2357 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017661-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14277612
title: BUGUNGI KUNDA IJTIMOIY TARMOQLARNING YOSHLAR RUHIY SALOMATLIGIGA TA'SIRI
DOI: 10.5281/zenodo.14277613
title: BUGUNGI KUNDA IJTIMOIY TARMOQLARNING YOSHLAR RUHIY SALOMATLIGIGA TA'SIRI
DOI: 10.15468/dl.6s939s
title: Occurrence Download

description: A dataset containing 369 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bunium alpinum Waldst. & Kit., Bunium alpinum var. eualpinum Thell.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 369 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017663-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p1yqlfjy
title: Atlantic and Gulf Coastal Plain foraminifera: Digitized and updated taxonomy of Thomas G. Gibson’s census data

description: This foraminiferal census data was originally produced by USGS research Geologist Thomas G. Gibson in the 1960s through the early 2000s. The census data here documents evidence of foraminifer populations found in sediment samples extracted from four cores from the Atlantic Coastal Plain and the Gulf Coastal Plain. These samples represent Pliocene, Middle- Miocene and Paleocene-Eocene time intervals. Additionally in 2024 the taxonomy was updated to modern usage for convenient comparison to data produced in recent and ongoing research
DOI: 10.15468/dl.dvqn43
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pandalus borealis Krøyer, 1838",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017662-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23668/psycharchives.5271
title: COVID-19 Snapshot Monitoring (COSMO Germany) - Wave 57

description: In a crisis such as the current outbreak of the newly emerged coronavirus, it is of utmost importance to monitor public perceptions of risk, protective and preparedness behaviours, public trust, as well as knowledge and misinformation to enable government spokespeople, the media, and health organizations to implement adequate responses (WHO Europe, 2017; World Health Organization, 2017). The purpose of this serial cross-sectional study COSMO is to allow rapid and adaptive monitoring of these variables over time and to assess the relations between risk perceptions, knowledge and misinformation to preparedness and protective behaviour regarding COVID-19 in Germany.
DOI: 10.17632/tpd67fxty4.1
title: Data by Lei

description: SI data pubilished in GCA journal
DOI: 10.23668/psycharchives.5277
title: The ZPID Lockdown Measures Dataset for Germany

description: The outbreak of the COVID-19 pandemic has prompted the German government and the 16 German federal states to announce a variety of public health measures in order to suppress the spread of the coronavirus. These non-pharmaceutical measures intended to curb transmission rates by increasing social distancing (i.e., diminishing interpersonal contacts) which restricts a range of individual behaviors. These measures span moderate recommendations such as physical distancing, up to the closures of shops and bans of gatherings and demonstrations. The implementation of these measures are not only a research goal for themselves but have implications for behavioral research conducted in this time (e.g., in form of potential confounder biases). Hence, longitudinal data that represent the measures can be a fruitful data source. The presented data set contains data on 14 governmental measures across the 16 German federal states. In comparison to existing datasets, the data set at hand is a fine-grained daily time series tracking the effective calendar date, introduction, extension, or phase-out of each respective measure. Based on self-regulation theory, measures were coded whether they did not restrict, partially restricted or fully restricted the respective behavioral pattern. The time frame comprises March 08, 2020 until May 15, 2020. The project is an open-source, ongoing project with planned continued updates in regular (approximately monthly) intervals.
description: New variables include restrictions on travel and gastronomy. The variable trvl (travel) comprises the following categories: fully restricted (=2) reflecting a potential general ban to travel within Germany (except for sound reasons like health or business); partially restricted (=1): travels are allowed but may be restricted through prohibition of accommodation or entry ban for certain groups (e.g. people from risk areas); free (=0): no travel and accommodation restrictions in place). The variable gastr (gastronomy) comprises: fully restricted (=2): closure of restaurants or bars; partially restricted (=1): Only take-away or food delivery services are allowed; free (=0): restaurants are allowed to open without restrictions). Further, the variables msk (recommendations to wear a mask) and zoo (restrictions of zoo visits) have been adjusted.
DOI: 10.5281/zenodo.14277603
title: List of used genomes for bacterial pan-genome with RefSeqID and Name
DOI: 10.5281/zenodo.14277604
title: List of used genomes for bacterial pan-genome with RefSeqID and Name
DOI: 10.15468/dl.f3naar
title: Occurrence Download

description: A dataset containing 377 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bemisia tabaci (Gennadius, 1889)",
 "Country is China",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 377 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017664-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9s44ks
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Living Specimen)",
 "Continent is South America",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Cattleya warscewiczii Rchb.f.",
 "Year 1900-2024"
 ]
}

 The dataset includes 40 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017665-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nyddc9
title: Occurrence Download

description: A dataset containing 4016 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Briza minor L.",
 "Geometry POLYGON((-141 24, -53 24, -53 83, -141 83, -141 24))"
 ]
}

 The dataset includes 4016 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017666-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23668/psycharchives.5283
title: Dataset for: Preliminary Validation of the Satisfaction With Work Scale

description: The present study describes the results of a preliminary validation of the Satisfaction With Work Scale (SWWS), a new measure designed to assess an individual's general evaluation of job satisfaction, modeled after the popular Satisfaction With Life Scale (SWLS). Two studies were conducted to test the psychometric properties of this new scale in terms of reliability, as well as construct, concurrent and convergent validity. In the first study (N = 194), the exploratory factor analysis suggested a single-factor structure of the scale, consistent with its development, and showed a high level of reliability (α = .91), as well as a moderate to strong correlation with concurrent scales and convergent measures, including perceived occupational stress and turnover intention. The confirmatory factor analysis conducted in the second study (N = 221) clearly supported the single-factor structure. Overall, the results of this preliminary validation indicate that the newly developed SWWS is a valid and reliable instrument to evaluate global job satisfaction.
DOI: 10.15468/dl.26abyk
title: Occurrence Download

description: A dataset containing 385 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pandalus eous Makarov, 1935",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 385 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017667-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d9cje3
title: Occurrence Download

description: A dataset containing 551 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Weigela decora var. decora"
 ]
}

 The dataset includes 551 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017669-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23668/psycharchives.5285
title: Dataset for: All’s Well That Ends Well? Outcome Bias in Pilots During Instrument Flight Rules

description: Data set for: P.G. Martins, A.; Köbrich, M.V.; Carstengerdes , N. & Biella, M. (submitted). All’s Well That Ends Well? Outcome Bias in Pilots During Instrument Flight Rules. Applied Cognitive Psychology.
description: Data set for the two conditions, including the codebook
DOI: 10.15468/dl.csvdyu
title: Occurrence Download

description: A dataset containing 1799268 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-84.8871903144576 19.8554808618919, -74.1368129136985 19.8554808618919, -74.1368129136985 23.1904452580641, -84.8871903144576 23.1904452580641, -84.8871903144576 19.8554808618919))"
 ]
}

 The dataset includes 1799268 records from 668 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017647-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rcc2cy
title: Occurrence Download

description: A dataset containing 32527 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Buphthalmum salicifolium L., Buphthalmum salicinum H.J.Coste, 1903, Buphthalmum salicifolium var. alpicola Beck, Buphthalmum salicifolium subsp. grandiflorum (L.) Ces., 1844)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 32527 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017668-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xvkktv
title: Occurrence Download

description: A dataset containing 793834 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-72.0003800116717 17.6356163599299, -68.3391564602248 17.6356163599299, -68.3391564602248 19.9139785832463, -72.0003800116717 19.9139785832463, -72.0003800116717 17.6356163599299))"
 ]
}

 The dataset includes 793834 records from 535 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017648-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1079187.10fu
title: SH1079187.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1079189.10fu
title: SH1079189.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1079190.10fu
title: SH1079190.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1079192.10fu
title: SH1079192.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1079193.10fu
title: SH1079193.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1079196.10fu
title: SH1079196.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1079202.10fu
title: SH1079202.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.