cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.46r64x
title: Occurrence Download

description: A dataset containing 366957 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is one of (FALSE)",
 "OccurrenceStatus is one of (Present)",
 "HasCoordinate is one of (TRUE)",
 "Geometry POLYGON ((-86.82591764846414 36.26128768287827, -86.83721168409454 36.26083976663289, -86.84839656696258 36.25950034689937, -86.8593642103873 36.257282368401796, -86.87000864900462 36.25420726516483, -86.8802270724376 36.25030475124165, -86.889920826936 36.24561253071752, -86.89899637489164 36.24017592993104, -86.90736620262545 36.23404745563688, -86.91494966743596 36.22728628357213, -86.92167377559129 36.21995768257526, -86.92747388372464 36.212132380035996, -86.93229431694411 36.20388587501816, -86.93608889788274 36.19529770589156, -86.93882138187422 36.18645067972883, -86.94046579443749 36.177430071064876, -86.94100666827033 36.16832279787851, -86.94043917798089 36.159216582837146, -86.93876917180852 36.15019910794473, -86.93601310059647 36.141357170752265, -86.93219784526497 36.13277585023027, -86.92736044498407 36.12453769026558, -86.92154772915697 36.11672190853454, -86.91481585718671 36.109403638223526, -86.90722977080604 36.10265320972108, -86.89886256450038 36.09653547899703, -86.88979478023926 36.09110920891867, -86.88011363335417 36.08642650923607, -86.86991217695439 36.08253234040533, -86.85928841275818 36.079464085812255, -86.84834435663443 36.07725119631825, -86.83718506749595 36.07591491037852, -86.82591764846414 36.07546805228597, -86.81465022943233 36.07591491037852, -86.80349094029386 36.07725119631825, -86.79254688417011 36.079464085812255, -86.78192311997391 36.08253234040533, -86.77172166357411 36.08642650923607, -86.76204051668903 36.09110920891867, -86.7529727324279 36.09653547899703, -86.74460552612224 36.10265320972108, -86.73701943974159 36.109403638223526, -86.73028756777131 36.11672190853454, -86.72447485194421 36.12453769026558, -86.7196374516633 36.13277585023027, -86.71582219633183 36.141357170752265, -86.71306612511978 36.15019910794473, -86.71139611894739 36.159216582837146, -86.71082862865796 36.16832279787851, -86.71136950249081 36.177430071064876, -86.71301391505405 36.18645067972883, -86.71574639904556 36.19529770589156, -86.71954097998417 36.20388587501816, -86.72436141320364 36.212132380035996, -86.73016152133698 36.21995768257526, -86.73688562949232 36.22728628357213, -86.74446909430281 36.23404745563688, -86.75283892203663 36.24017592993104, -86.76191446999228 36.24561253071752, -86.77160822449068 36.25030475124165, -86.78182664792368 36.25420726516483, -86.79247108654097 36.257282368401796, -86.80343872996572 36.25950034689937, -86.81462361283374 36.26083976663289, -86.82591764846414 36.26128768287827))",
 "Year is greater than or equal to 2008",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 366957 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020742-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q7gqk8
title: Occurrence Download

description: A dataset containing 1547 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lonicera tatarica L.",
 "Geometry POLYGON((-105 38, -80 38, -80 58, -105 58, -105 38))"
 ]
}

 The dataset includes 1547 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020770-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/nx84rz26zm.1
title: Identification of molecular determinants of gene-specific bursting patterns by high-throughput imaging screens

description: Supporting data for the above-mentioned study. Contains the raw screening data, blots and uncompressed images used for the figures.
DOI: 10.17632/yvhphdz48x.2
title: Using wearable camera dietary monitoring technology to explore diet-related non-communicable disease in volunteers at risk of cardiovascular disease - the CoDiet study protocol

description: Study files and SPIRIT guidelines for CODIET study protocol
DOI: 10.17632/5c7yr6wx6w.1
title: THE NIGER DELTA CRISIS AND THE POLITICS OF LAND REFORMS

description: This is an empirical research submitted to the School of Graduate Studies in Delta State University, Abraka, Nigeria in fulfilment of the requirments for the award of Master of Science degree in Political Science.
DOI: 10.17632/dkgxhx82ph.1
title: Data-Genomic selection based on random regression test-day model in dairy cattle with respect to different reference populations

description: Test-day record of the first lactation: each test-day record covered four traits, including milk yield (MY), fat yield (FY), protein yield (PY), and somatic cell score (SCS).
DOI: 10.17632/v33gtr57bx.1
title: Análisis económico y estratégico de industrias Patojito S.A.S.: evaluación de factores macroeconómicos, microeconómicos y herramientas estratégicas en Colombia

description: Este documento, titulado "Análisis Económico y Estratégico de Industrias Patojito S.A.S.: Evaluación de Factores Macroeconómicos, Microeconómicos y Herramientas Estratégicas en Colombia", es el resultado significativo de un trabajo de clase desarrollado en el curso Economía de la Empresa. El trabajo articula los resultados de aprendizaje establecidos en el plan de curso, los cuales incluyen la aplicación de modelos microeconómicos a la gestión empresarial, el análisis del impacto del Estado en las decisiones empresariales y la evaluación de estructuras de mercado en contextos de competencia perfecta e imperfecta.

El trabajo se organiza en varias secciones. Inicia con una descripción de la empresa, su misión, visión y un análisis de sus aliados, competidores y proveedores. A través de este marco contextual, se comprende la posición de la empresa en el mercado colombiano. La introducción establece la importancia de considerar factores macroeconómicos y microeconómicos en la toma de decisiones estratégicas y cómo estos afectan el desempeño de Patojito S.A.S.

El análisis macroeconómico explora indicadores clave como el Producto Interno Bruto (PIB), la inflación, las tasas de interés, el desempleo y el tipo de cambio. Se evalúa cómo estos factores influyen en los costos operativos, la competitividad y las oportunidades de expansión de la empresa. Asimismo, se analizan las políticas fiscales y monetarias del país, destacando el impacto de impuestos, subsidios y decisiones del Banco de la República en el entorno financiero de Patojito. Este análisis permite identificar tanto desafíos como oportunidades en un contexto económico volátil.

Desde una perspectiva microeconómica, se analizan la oferta y demanda, las estrategias de precios y la estructura de mercado. Se identifica que la empresa opera en un oligopolio con una fuerte competencia de marcas nacionales e internacionales. Se evalúan estrategias de diferenciación y fijación de precios, complementadas con indicadores financieros como ROE, ROA, EBITDA y pruebas de liquidez, que reflejan fortalezas y desafíos en la gestión financiera de Patojito.

El trabajo emplea herramientas como las matrices DOFA, MEFE, MEFI y MPC para evaluar los factores internos y externos que afectan a la empresa. Se destacan fortalezas como su enfoque en sostenibilidad y calidad de productos, mientras que se señalan debilidades como una baja presencia internacional. Las oportunidades incluyen el crecimiento del mercado de productos ecológicos y el aprovechamiento de nuevas tecnologías, mientras que las amenazas abarcan la competencia agresiva y las regulaciones ambientales.

El trabajo refleja la articulación con los resultados de aprendizaje del curso Economía de la Empresa, como:

RA1: Relación entre economía y gestión empresarial.
RA2: Impacto del Estado en las decisiones empresariales.
RA3 y RA4: Aplicación de modelos de competencia perfecta e imperfecta.
DOI: 10.17632/dkgxhx82ph.2
title: Data-Genomic selection based on random regression test-day model in dairy cattle with respect to different reference populations

description: Test-day record of the first lactation: each test-day record covered four traits, including milk yield (MY), fat yield (FY), protein yield (PY), and somatic cell score (SCS).
DOI: 10.17632/jtcgfwgmnz.1
title: Metabolite SERS fingerprints: Fityk .fit and .peaks files

description: Two folders containing .fit and .peaks from Fityk software. Files are regarding the SERS (Surface-Enhanced Raman Spectroscopy) spectra of metabolites, published by Sherman et al. in Talanta, 2020, in an article entitled “A surface-enhanced Raman spectroscopy database of 63 metabolites”. The SERS spectra are deconvoluted in q-Gaussian functions. These two folders are supplememntary material for submitted article.
DOI: 10.15468/dl.h5s2s8
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schinus terebinthifolia Raddi",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 34 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020771-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14279398
title: Check or Reject? Trust and Motivation Development in App-Based Warning Systems

description: This online supplement contains a dataset (raw data) collected in two studies by the University of Münster, Germany, as well as supplementary study materials, and the online appendix/online supplement of our paper including additional results. The studies were part of a larger research project (https://www.brawa.ovgu.de/en/) and examined trust development in warning systems over time.

App-based warning systems notify people of upcoming hazards, but they will only be used if users trust them, which, in turn, depends on the system’s performance (i.e., number of false alarms). Thus, the present work aims to present initial evidence on how trust in warning systems develops over time. We conducted two field experiments in which participants used a mobile (fire) emergency warning system for two weeks with variable conditions. Study 1 combined online and in-app questionnaires in a longitudinal design (Nscreening = 623, Napp = 265). Notably, false alarms led to a significant decrease in trustworthiness, trust, motivation, and intention to use, whereas a responsibility diffusion manipulation did not have negative effects. In study 2, we examined under real-life conditions app users’ on-site responses after false alarms by applying questionnaires, behavioural observations, and in-depth interviews (Nscreening = 119, Napp = 58). Before the field experiment on site, participants completed a fire safety training. While the training had a positive influence on motivation, gamification of the app showed no effects. Overall, the results agree with recent models about the development of trust over time and highlight the dynamic nature of our relationship to warning systems. Finally, we derive implications for warning system design.

The ethics committee of the Faculty of Psychology and Sports Science of the University of Münster approved the studies (under ID 2022-69-MT-FA and ID 2023-21-MT-FA2) and we preregistered them with aspredicted.org (available at https://aspredicted.org/4r6b-7cfk.pdf and https://aspredicted.org/7yms-hsm8.pdf). The studies were supported by the German Federal Ministry of Education and Research (grant number 13N15416).

This online supplement includes:



An online supplement (online appendix) containing additional material and results for Study 1 and Study 2

Two codebooks describing all instructions and items in both 1) study 1 and 2) study 2

Raw (anonymized) data sets and analyses for study 1 and study 2 (Note: The raw data contains only the information of persons who were included in the analysis and who gave their informed consent. Some demographic information was deleted to ensure anonymity.)
DOI: 10.5281/zenodo.14279397
title: Check or Reject? Trust and Motivation Development in App-Based Warning Systems

description: This online supplement contains a dataset (raw data) collected in two studies by the University of Münster, Germany, as well as supplementary study materials, and the online appendix/online supplement of our paper including additional results. The studies were part of a larger research project (https://www.brawa.ovgu.de/en/) and examined trust development in warning systems over time.

App-based warning systems notify people of upcoming hazards, but they will only be used if users trust them, which, in turn, depends on the system’s performance (i.e., number of false alarms). Thus, the present work aims to present initial evidence on how trust in warning systems develops over time. We conducted two field experiments in which participants used a mobile (fire) emergency warning system for two weeks with variable conditions. Study 1 combined online and in-app questionnaires in a longitudinal design (Nscreening = 623, Napp = 265). Notably, false alarms led to a significant decrease in trustworthiness, trust, motivation, and intention to use, whereas a responsibility diffusion manipulation did not have negative effects. In study 2, we examined under real-life conditions app users’ on-site responses after false alarms by applying questionnaires, behavioural observations, and in-depth interviews (Nscreening = 119, Napp = 58). Before the field experiment on site, participants completed a fire safety training. While the training had a positive influence on motivation, gamification of the app showed no effects. Overall, the results agree with recent models about the development of trust over time and highlight the dynamic nature of our relationship to warning systems. Finally, we derive implications for warning system design.

The ethics committee of the Faculty of Psychology and Sports Science of the University of Münster approved the studies (under ID 2022-69-MT-FA and ID 2023-21-MT-FA2) and we preregistered them with aspredicted.org (available at https://aspredicted.org/4r6b-7cfk.pdf and https://aspredicted.org/7yms-hsm8.pdf). The studies were supported by the German Federal Ministry of Education and Research (grant number 13N15416).

This online supplement includes:



An online supplement (online appendix) containing additional material and results for Study 1 and Study 2

Two codebooks describing all instructions and items in both 1) study 1 and 2) study 2

Raw (anonymized) data sets and analyses for study 1 and study 2 (Note: The raw data contains only the information of persons who were included in the analysis and who gave their informed consent. Some demographic information was deleted to ensure anonymity.)
DOI: 10.5281/zenodo.14284461
title: Check or Reject? Trust and Motivation Development in App-Based Warning Systems

description: This online supplement contains a dataset (raw data) collected in two studies by the University of Münster, Germany, as well as supplementary study materials, and the online appendix/online supplement of our paper including additional results. The studies were part of a larger research project (https://www.brawa.ovgu.de/en/) and examined trust development in warning systems over time.

App-based warning systems notify people of upcoming hazards, but they will only be used if users trust them, which, in turn, depends on the system’s performance (i.e., number of false alarms). Thus, the present work aims to present initial evidence on how trust in warning systems develops over time. We conducted two field experiments in which participants used a mobile (fire) emergency warning system for two weeks with variable conditions. Study 1 combined online and in-app questionnaires in a longitudinal design (Nscreening = 623, Napp = 265). Notably, false alarms led to a significant decrease in trustworthiness, trust, motivation, and intention to use, whereas a responsibility diffusion manipulation did not have negative effects. In study 2, we examined under real-life conditions app users’ on-site responses after false alarms by applying questionnaires, behavioural observations, and in-depth interviews (Nscreening = 119, Napp = 58). Before the field experiment on site, participants completed a fire safety training. While the training had a positive influence on motivation, gamification of the app showed no effects. Overall, the results agree with recent models about the development of trust over time and highlight the dynamic nature of our relationship to warning systems. Finally, we derive implications for warning system design.

The ethics committee of the Faculty of Psychology and Sports Science of the University of Münster approved the studies (under ID 2022-69-MT-FA and ID 2023-21-MT-FA2) and we preregistered them with aspredicted.org (available at https://aspredicted.org/4r6b-7cfk.pdf and https://aspredicted.org/7yms-hsm8.pdf). The studies were supported by the German Federal Ministry of Education and Research (grant number 13N15416).

This online supplement includes:



An online supplement (online appendix) containing additional material and results for Study 1 and Study 2

Two codebooks describing all instructions and items in both 1) study 1 and 2) study 2

Raw (anonymized) data sets and analyses for study 1 and study 2 (Note: The raw data contains only the information of persons who were included in the analysis and who gave their informed consent. Some demographic information was deleted to ensure anonymity.)
DOI: 10.15468/dl.fcsdjr
title: Occurrence Download

description: A dataset containing 973 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lonicera morrowii A.Gray",
 "Geometry POLYGON((-105 38, -80 38, -80 58, -105 58, -105 38))"
 ]
}

 The dataset includes 973 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020772-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r6wecj
title: Occurrence Download

description: A dataset containing 37169150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "GadmGid is CAN.11_1"
 ]
}

 The dataset includes 37169150 records from 811 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020741-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p9sbaff6
title: Sea Otter Aerial Survey Data from Glacier Bay National Park and Preserve, 1999-2012

description: The data package "Sea Otter Aerial Survey Data from Glacier Bay National Park and Preserve, 1999-2012"; provides raw data for examining abundance and distribution of northern sea otters (Enhydra lutris kenyoni) in Glacier Bay National Park and Preserve in southeast Alaska, based on data collected during a series of population-wide aerial surveys. The USGS aerial sea otter surveys have been completed multiple times using consistent methodology involving aerial-based counts. The surveys provide data and a population estimate that Park and other Federal management agencies use for decision making and planning additional research. This data package includes a series of files with the raw digital data that was used for population estimates and population modeling found in related manuscripts.
DOI: 10.15468/dl.v4rbjg
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paraliparis rosaceus Gilbert, 1890",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 74 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020773-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ahrve
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schotia brachypetala Sond.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020774-241126133413365/datasets/export for details.
DOI: 10.15468/dl.3xf4qu
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Senna bicapsularis (L.) Roxb.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020775-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jtcj2h
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence, Material citation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Primula palinuri Petagna"
 ]
}

 The dataset includes 34 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020776-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qgvg4k
title: Occurrence Download

description: A dataset containing 3066 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Peprilus simillimus (Ayres, 1860)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3066 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020777-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-dc-2003355775
title: Operando imaging of crystal structure and orientation in all components of all-solid-state-batteries

description: operando synchrotron micro X-ray diffraction imaging of a compact all-solid-state-battery
DOI: 10.15468/dl.cr5m86
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Senna didymobotrya (Fresen.) H.S.Irwin & Barneby",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020779-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.erb52m
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Choeroniscus periosus Handley, 1966"
 ]
}

 The dataset includes 20 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020778-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.