cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12608544
title: eELib: Open-Source Model Library for Prosumer Power Systems and Energy Management Strategies (data)

description: Dataset and results used for the simulations in following publication:

Carsten Wegkamp, Henrik Wagner, Eike Niehs, Julien Essers, Marcel Lüdecke, Mattias Hadlak, Bernd Engel:"eELib: Open-Source Model Library for Prosumer Power Systems and Energy Management Strategies",Open Source Modelling and Simulation of Energy Systems (OSMSES) 2024, Vienna, Austria, 2024

 

This contains the input (scenario) files for the building & grid scenario and the results of the two simulations.It uses the elenia Energy Library (eELib) with release version 1.0.0: https://gitlab.com/elenia1/elenia-energy-library
DOI: 10.15468/dl.6fmx7w
title: Occurrence Download

description: A dataset containing 923 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Naja naja (Linnaeus, 1758)"
 ]
}

 The dataset includes 923 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113309-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7798310
title: Supplementary material - Global strategy for the conservation and use of genetic resources of selected millets

description: Supplementary material for: Bramel, P., Giovannini, P. and M. Eshan Dulloo. 2022. Global strategy for the conservation and use of genetic resources of selected millets. Global Crop Diversity Trust. Bonn, Germany. DOI: 10.5281/zenodo.7798294
DOI: 10.5281/zenodo.7798311
title: Supplementary material - Global strategy for the conservation and use of genetic resources of selected millets

description: Supplementary material for: Bramel, P., Giovannini, P. and M. Eshan Dulloo. 2022. Global strategy for the conservation and use of genetic resources of selected millets. Global Crop Diversity Trust. Bonn, Germany. DOI: 10.5281/zenodo.7798294
DOI: 10.6084/m9.figshare.23556636
title: Identifying interactions between determinants of intention for civic engagement against transportation noise exposure – a theory-driven classification tree analysis with cross-sectional data from the KORA study in Germany

description: The European Environmental Noise Directive highlights public participation in the development and review of noise action plans. Considering unequal participation opportunities, determinants of public civic engagement are crucial. We conceptualised these determinants to arise from four components: (1) noise exposure, (2) environmental resources, (3) engagement-specific cognitions, and (4) general cognitions and emotions. We aimed to classify intention for civic engagement in a population-based sample from the German KORA study in the Augsburg region by using Conditional Inference Trees (CIT) with variables attributed to the four components (<i>N</i> = 3,743, 43–92 years). The “engagement-specific cognitions”-CIT showed the highest prevalence of civic engagement intention resulting from interactions between subjective norm (expecting positive feedback from significant others), self-efficacy (having confidence to engage), and knowledge of noise abatement planning (70.6% as compared to the sample average (11.2%)). To promote equitable decision-making, participation might benefit from focusing on residents’ cognitive-behavioural processes.
DOI: 10.6084/m9.figshare.23556636.v1
title: Identifying interactions between determinants of intention for civic engagement against transportation noise exposure – a theory-driven classification tree analysis with cross-sectional data from the KORA study in Germany

description: The European Environmental Noise Directive highlights public participation in the development and review of noise action plans. Considering unequal participation opportunities, determinants of public civic engagement are crucial. We conceptualised these determinants to arise from four components: (1) noise exposure, (2) environmental resources, (3) engagement-specific cognitions, and (4) general cognitions and emotions. We aimed to classify intention for civic engagement in a population-based sample from the German KORA study in the Augsburg region by using Conditional Inference Trees (CIT) with variables attributed to the four components (<i>N</i> = 3,743, 43–92 years). The “engagement-specific cognitions”-CIT showed the highest prevalence of civic engagement intention resulting from interactions between subjective norm (expecting positive feedback from significant others), self-efficacy (having confidence to engage), and knowledge of noise abatement planning (70.6% as compared to the sample average (11.2%)). To promote equitable decision-making, participation might benefit from focusing on residents’ cognitive-behavioural processes.
DOI: 10.15468/dl.hgch45
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alosa macedonica (Vinciguerra, 1921)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113310-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13627099
title: EVENTS ACCEL BBD22 (27-08-24 to 30-08-24)

description: Sampling frequency: 80 Hz

Resolution: 0.125/4096
DOI: 10.5281/zenodo.13627100
title: EVENTS ACCEL BBD22 (27-08-24 to 30-08-24)

description: Sampling frequency: 80 Hz

Resolution: 0.125/4096
DOI: 10.15468/dl.vjk9hf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alosa vistonica Economidis & Sinis, 1986",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113312-240626123714530/datasets/export for details.
DOI: 10.15468/dl.8u77dp
title: Occurrence Download

description: A dataset containing 340025 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Columba livia J.F.Gmelin, 1789",
 "Year 2019-2024"
 ]
}

 The dataset includes 340025 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113295-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.799ath
title: Occurrence Download

description: A dataset containing 502377 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Columba palumbus Linnaeus, 1758",
 "Year 2019-2024"
 ]
}

 The dataset includes 502377 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113297-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ywx9y
title: Occurrence Download

description: A dataset containing 356 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Mongolia)",
 "OccurrenceStatus is Present",
 "TaxonKey is Asperugo procumbens L."
 ]
}

 The dataset includes 356 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113311-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13627102
title: EVENTS ACCEL BBD66 (27-08-24 to 30-08-24)

description: Sampling frequency: 80 Hz

Resolution: 0.125/4096
DOI: 10.5281/zenodo.13627103
title: EVENTS ACCEL BBD66 (27-08-24 to 30-08-24)

description: Sampling frequency: 80 Hz

Resolution: 0.125/4096
DOI: 10.15468/dl.nd37x9
title: Occurrence Download

description: A dataset containing 10996 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ophiogomphus cecilia (Fourcroy, 1785)"
 ]
}

 The dataset includes 10996 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113313-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7udye2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Barbus euboicus Stephanidis, 1950",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113314-240626123714530/datasets/export for details.
DOI: 10.5281/zenodo.13627104
title: EVENTS ACCEL BBDF3 (27-08-24 to 30-08-24)

description: Sampling frequency: 80 Hz

Resolution: 0.125/4096
DOI: 10.5281/zenodo.13627105
title: EVENTS ACCEL BBDF3 (27-08-24 to 30-08-24)

description: Sampling frequency: 80 Hz

Resolution: 0.125/4096
DOI: 10.4121/1975af9a-9b58-4dde-ae58-58e1001ef553
title: German ASA Questionnaire Translation - Part 1: Translation and Formative Assessment

description: This is the data and analysis code for the formative assessment of the German translation of the Artificial Social Agent (ASA) Questionnaire. This questionnaire can be used to characterize interactions between humans and ASAs.<br>The original English questionnaire can be found with this DOI: 10.4121/19650846.<br><strong>Studies</strong>The formative assessment consists of 3 rounds of assessing the correlation between original English questionnaire items and their German translations. English items with too low correlation scores in a round are retranslated and re-assessed in the subsequent round. The assessment consists of people who indicate having German as their first and primary language, being fluent in English, and being bilingual rating the English items and their German translations for the human-ASA interaction depicted in a 30-second video clip. The studies were run on the online crowdsourcing platform Prolific.<br>The studies have been pre-registered here: https://osf.io/adknw.<br><strong>Data</strong>For each round, we provide the ratings for the English and German questionnaire items as well as data on the characteristics of the participants (age, gender, highest completed education level from their Prolific profiles). A random identifier called "rand_id" can be used to link the data files.<br>In case of questions, please contact Nele Albers (n.albers@tudelft.nl) or Willem-Paul Brinkman (w.p.brinkman@tudelft.nl).
DOI: 10.4121/9db602be-f748-46d7-b75d-874a1a0c244f
title: Dutch ASA Questionnaire Translation - Translation and Formative Assessment: Rounds 1 and 2

description: This is the data and analysis code for the first two rounds of the formative assessment of the Dutch translation of the English Artificial Social Agent (ASA) Questionnaire. This questionnaire can be used to characterize interactions between humans and ASAs.<br>The original English questionnaire can be found with this DOI: 10.4121/19650846.<br><strong>Studies</strong>The formative assessment so far consists of two rounds of assessing the correlation between original English questionnaire items and their Dutch translations. English items with too low correlation scores in a round are retranslated and re-assessed in the subsequent round. The assessment consists of people who indicate having Dutch as their first and primary language, being fluent in English, and being bilingual rating the English items and their Dutch translations for the human-ASA interaction depicted in a 30-second video clip. The studies were run on the online crowdsourcing platform Prolific.<br>So far, we have only done the first two of three rounds (each consisting of a translation of English items into Dutch and a subsequent evaluation of the resulting correlations based on a crowdsourcing study). The two studies were run between the 29th of May and the 17th of June 2023.<br>The studies have been pre-registered here: https://osf.io/adknw.<br><strong>Data</strong>For each of the two rounds, we provide the ratings for the English and Dutch questionnaire items as well as data on the characteristics of the participants (age, gender, highest completed education level from their Prolific profiles). A random identifier called "rand_id" can be used to link the data files.<br>In case of questions, please contact Nele Albers (n.albers@tudelft.nl) or Willem-Paul Brinkman (w.p.brinkman@tudelft.nl).
DOI: 10.4121/ef5bfd13-3edd-4d58-972a-aadd667ce3f9
title: Dutch ASA Questionnaire Translation - Translation and Formative Assessment: Round 3

description: This is the data and analysis code for the third and last round of the formative assessment of the Dutch translation of the English Artificial Social Agent (ASA) Questionnaire. This questionnaire can be used to characterize interactions between humans and ASAs.The original English questionnaire can be found with this DOI: 10.4121/19650846.The data and analysis code for the first two formative assessment rounds can be found here: https://doi.org/10.4121/9db602be-f748-46d7-b75d-874a1a0c244f.<br><strong>Studies</strong>We conducted a third round of assessing the correlation between original English questionnaire items and their Dutch translations. Specifically, we assessed the 20 English items with too low correlation scores after the first two formative assessment rounds and their new Dutch translations. The assessment consists of people who indicate having Dutch as their first and primary language, being fluent in English, and being bilingual rating the English items and their Dutch translations for the human-ASA interaction depicted in a 30-second video clip. The study was run on the online crowdsourcing platform Prolific between the 24th and 25th of August 2023.The studies have been pre-registered here: https://osf.io/adknw.The study was approved by the Human Research Ethics Committee of Delft University of Technology (Letter of Approval number: 3051).<br><strong>Data</strong>We provide the ratings for the English and Dutch questionnaire items as well as data on the characteristics of the participants (age, gender, highest completed education level from their Prolific profiles). A random identifier called "rand_id" can be used to link the data files.<br>In case of questions, please contact Nele Albers (n.albers@tudelft.nl) or Willem-Paul Brinkman (w.p.brinkman@tudelft.nl).
DOI: 10.5281/zenodo.13627110
title: EVENTS ACCEL BBE27 (27-08-24 to 30-08-24)

description: Sampling frequency: 80 Hz

Resolution: 0.125/4096
DOI: 10.5281/zenodo.13627111
title: EVENTS ACCEL BBE27 (27-08-24 to 30-08-24)

description: Sampling frequency: 80 Hz

Resolution: 0.125/4096
DOI: 10.15468/dl.k4p754
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Barbus macedonicus Karaman, 1928",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113315-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1285/i26108968n9
title: Apprendimento trasformativo, Arti performative e Cambiamento sociale
DOI: 10.15468/dl.bjmvzp
title: Occurrence Download

description: A dataset containing 12626 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "TaxonKey is Anser fabalis (Latham, 1787)"
 ]
}

 The dataset includes 12626 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113317-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1285/10.1285/i26108968n9p1
title: Frontespizio e pagine iniziali
DOI: 10.5281/zenodo.13627114
title: EVENTS ACCEL BC9C4 (27-08-24 to 30-08-24)

description: Sampling frequency: 80 Hz

Resolution: 0.125/4096
DOI: 10.5281/zenodo.13627115
title: EVENTS ACCEL BC9C4 (27-08-24 to 30-08-24)

description: Sampling frequency: 80 Hz

Resolution: 0.125/4096
DOI: 10.15468/dl.uqxhjw
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Barbus peloponnesius Valenciennes, 1842",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 32 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113318-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1285/i26108968n9p3
title: Indice
DOI: 10.1285/i26108968n9p5
title: Introduzione: pensiero trasformativo come paradigma della ricerca sperimentale.
DOI: 10.5281/zenodo.13627118
title: EVENTS ACCEL BC56E (27-08-24 to 30-08-24)

description: Sampling frequency: 80 Hz

Resolution: 0.125/4096
DOI: 10.5281/zenodo.13627119
title: EVENTS ACCEL BC56E (27-08-24 to 30-08-24)

description: Sampling frequency: 80 Hz

Resolution: 0.125/4096
DOI: 10.1285/i26108968n9p11
title: Flessibilità e adattamento al cambiamento: la Flexible Classroom nella scuola primaria.
DOI: 10.15468/dl.fw58cy
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Barbus prespensis Karaman, 1924",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113319-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1285/i26108968n9p19
title: Corpo, Danzamovimentoterapia, educazione e pregiudizio: connessioni e percorsi per un apprendimento trasformativo.
DOI: 10.5281/zenodo.13627123
title: EVENTS ACCEL BCA6C (27-08-24 to 30-08-24)

description: Sampling frequency: 80 Hz

Resolution: 0.125/4096
DOI: 10.5281/zenodo.13627124
title: EVENTS ACCEL BCA6C (27-08-24 to 30-08-24)

description: Sampling frequency: 80 Hz

Resolution: 0.125/4096
DOI: 10.15468/dl.66dhx9
title: Occurrence Download

description: A dataset containing 6999 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tockus monteiri Hartlaub, 1865"
 ]
}

 The dataset includes 6999 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113320-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1285/i26108968n9p29
title: Dottorato e Art-Based Methods: the global classroom project. Un workshop condiviso tra Milano e Philadelphia.
DOI: 10.15468/dl.325f3g
title: Occurrence Download

description: A dataset containing 5215 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tockus damarensis (Shelley, 1888)"
 ]
}

 The dataset includes 5215 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113321-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1285/i26108968n9p35
title: Master 'Teatro, Pedagogia e Didattica': la didattica performativa come strumento di ritorno alla presenza.
DOI: 10.15468/dl.d47ukn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Barbus albanicus Steindachner, 1870",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113322-240626123714530/datasets/export for details.
DOI: 10.5281/zenodo.13627019
title: Habitat characteristics and species abundances of reptiles in northern Israel

description: Data and auxiliary information collected in a field survey of reptile assemblages in northern Israel, conducted in the spring seasons from 2016 to 2018. Data were collected in 272 Mediterranean woodland and shrubland sites, exposed to different types of human land uses. Sites are located along a geo-climatic gradient of 120 km, with elevations between 50 m and 1,570 m above sea level. Species data contains the abundances of 15 lizards, six snakes and one tortoise. The species included in the data are:

Mediodactylus orientalis, Ptyodactylus puiseuxi, Chamaeleo chamaeleon, Phoenicolacerta kulzeri, Phoenicolacerta laevis, Lacerta media, Ophisops elegans, Ablepharus rueppellii, Chalcides guentheri, Heremites vittate, Pseudopus apodus, Dolichophis jugularis, Hemorrhois nummifer, Platyceps collaris, Malpolon insignitus, Daboia palaestinae, Testudo graeca, Ptyodactylus guttatus, Laudakia stellio, Chalcides ocellatus, Eumeces schneideri, Psammophis schokari, and unidentified lizard species.

Data columns are:

Sample = sample site code

Date = sampling date

Region = name of sub region in northern Israel

Locality = sampling site name

T_min = average minimum annual temperature from 1970 to 2000

T_max = average maximum annual temperature from 1970 to 2000

Precipitation = mean annual rainfal (mm) from 1970 to 2000

Lat_sample = latitude of the centroid of the sampling site (m, ITM coordinate system)

Lon_sample = longitude of the centroid of the sampling site (m, ITM cooridnate system)

Elev_MEAN = elevation above sea level (m)

EgrtPredPress = an estimate of predation pressure by cattle egrets (based on distance to nearest colony and colony size)

Closeness = a visual estimate of vegetation cover

Barrenness = a visual estimate of the amount of non-vegetated cover

DISTURB = a visual estimate of the amount of anthropogenic disturbance to the site

CATTLE = a visual estimate of cattle grazing pressure

GOATS = a visual estimate of goat grazing pressure

Shannon_LC = Shannon's index of habitat diversity

Ndvi_MEAN = mean value of the normalized difference vegetation index captured by Landsat satellite imagery in August 2020

Ndvi_STD = standard deviation of the values of the normalized difference vegetation index captured by Landsat satellite imagery in August 2020

PreyLizAbun = total abundance of reptile species identified as cattle egret prey

HerpAbun = total reptile abundance

SpeciesRich = total species richness

Columns 23 - 46: abundances of individual reptile species