cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5918636
title: Snow Spotter Canopy-Snow Interception Dataset #1

description: This dataset was used in a manuscript titled "<em>Evaluating multiple canopy-snow unloading parameterizations in SUMMA with time-lapse photography characterized by citizen scientists</em>" submitted to AGU WRR by the corresponding first-author, Cassie A. Lumbrazo (lumbraca@uw.edu). <br> An excerpt from the manuscript is provided below. Please see the published manuscript for the full dataset summary and the dataset ReadMe file for information on the dataset structure. Time-lapse images from high-resolution digital cameras were collected from the PhenoCam Network (Milliman et al., 2018), the 2017 NASA SnowEx Field Campaign (Currier et al., 2019; Kim et al., 2017), and the Olympic Mountain Experiment (OLYMPEX) ground validation campaign (Currier et al., 2017; Houze et al., 2017; Lundquist et al., 2018). These images were then uploaded to a citizen science platform called Zooniverse (<em>Zooniverse.org</em>) and classified by thousands of volunteers as part of the <em>Snow Spotter</em> project. The goal of Snow Spotter was to mobilize citizen scientists to collect information about canopy interception. A total of 6,700 volunteer citizen scientists responded to questions about 13,600 images from sites across the United States to create this first canopy-snow interception Snow Spotter dataset.
DOI: 10.5281/zenodo.4268490
title: Dataset to Manuscript: Vertical mobility of pyrogenic organic matter in soils: A column experiment, Marcus Schiedung et al. (Biogeosciences)

description: Dataset to manuscript: Schiedung, M., Bellè, S.-L., Sigmund, G., Kalbitz, K., and Abiven, S.: Vertical mobility of pyrogenic organic matter in soils: A column experiment, Biogeosciences, https://doi.org/10.5194/bg-17-6457-2020, 2020. All parameters and variables are described in "Var_names" files.
DOI: 10.5281/zenodo.4268489
title: Dataset to Manuscript: Vertical mobility of pyrogenic organic matter in soils: A column experiment, Marcus Schiedung et al. (Biogeosciences)

description: Dataset to manuscript: Schiedung, M., Bellè, S.-L., Sigmund, G., Kalbitz, K., and Abiven, S.: Vertical mobility of pyrogenic organic matter in soils: A column experiment, Biogeosciences, https://doi.org/10.5194/bg-17-6457-2020, 2020. All parameters and variables are described in "Var_names" files.
DOI: 10.6084/m9.figshare.19139687
title: Simulation_OGU

description: Simulation OGU Raw:BuildingGutOral
DOI: 10.6084/m9.figshare.19139687.v1
title: Simulation_OGU

description: Simulation OGU Raw:BuildingGutOral
DOI: 10.34740/kaggle/dsv/3161898
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.5281/zenodo.6006516
title: The height-dependent delayed ionospheric response to solar EUV - data comparison - secondary files 123 - 128

description: <strong>Secondary files for doy 123 - 128</strong> For comparison with the observational results a TIE-GCM v2.0 model run in the 2.5 × 2.5 configuration is calculated. In order to converge to stable initial condition the model runs for 30 days prior to the final simulation starting at 28 March 2019. This initial run is configured with default parameters. The final run from 27 April 2019 to 24 May 2019 uses the default configuration of TIE-GCM with the Heelis Electric Convection Field Model (Heelis et al., 1982) as the high-latitude potential model. The input forcing is used from the NASA/GSFC’s OMNI data set
DOI: 10.5281/zenodo.6006515
title: The height-dependent delayed ionospheric response to solar EUV - data comparison - secondary files 123 - 128

description: <strong>Secondary files for doy 123 - 128</strong> For comparison with the observational results a TIE-GCM v2.0 model run in the 2.5 × 2.5 configuration is calculated. In order to converge to stable initial condition the model runs for 30 days prior to the final simulation starting at 28 March 2019. This initial run is configured with default parameters. The final run from 27 April 2019 to 24 May 2019 uses the default configuration of TIE-GCM with the Heelis Electric Convection Field Model (Heelis et al., 1982) as the high-latitude potential model. The input forcing is used from the NASA/GSFC’s OMNI data set
DOI: 10.5282/ubm/data.289
title: Walter Müller-Seidels fragmentarischer Erinnerungsbericht: Autobiographik und Wissenschaft im 20. Jahrhundert. Teil B: Edition

description: Zur Dissertation: Axtner-Borsutzky, Anna: Walter Müller-Seidels fragmentarischer Erinnerungsbericht: Autobiographik und Wissenschaft im 20. Jahrhundert. Berlin, Peter Lang Verlag, 2022. ISBN 978-3-631-85596-6. Signatur der UB München: 0001/UMC 28494
DOI: 10.5281/zenodo.6012976
title: Rohdaten zu den Ergebnissen der ZKI Top Trends-Umfrage des ZKI-Arbeitskreises Strategie und Organisation für das Jahr 2022

description: Der Arbeitskreis Strategie und Organisation des ZKI-Vereins führt eine jährliche Umfrage zu den wichtigsten Themen und Trends von IT-Einrichtungen aus Hochschulen und Forschungseinrichtungen durch. Die Umfrageergebnisse sollen dabei helfen, wichtige Entwicklungen, Themen und Best Practices im Blick zu behalten und bei den umfangreichen Themenfeldern der Digitalisierung und der rasanten Erneuerung von Technologien Schritt zu halten bzw. auch Inspiration für die weitere Ausgestaltung an der eigenen Einrichtung zu gewinnen. Die Kernumfrage adressiert die wichtigsten Themen und Veränderungen im Umfragejahr in standardisierter Form. Darüber hinaus werden in jedem Jahr individuelle Schwerpunkte abgefragt, die viele Einrichtungen beschäftigen. Im Jahr 2022 waren die Schwerpunktfragen über die Kernumfrage hinaus: Hat die <strong>Nutzung von externen Cloud-Angeboten</strong> während der Pandemie eher zugenommen oder eher abgenommen? In welchem <strong>Umfang</strong> setzen Sie <strong>Cloud-Technologien</strong> ein? Welche <strong>Maßnahmen</strong> haben Sie im Bereich <strong>"Digitale Souveränität"</strong> getroffen? Welche <strong>spezifischen Aspekte</strong> sehen Sie für Hochschulen und Forschungseinrichtungen im Bereich <strong>Digitaler Souveränität</strong>? Welche <strong>Auswirkungen</strong> sehen Sie durch Corona für die <strong>Arbeitsplatzgestaltung</strong>? Welche <strong>Tools und Mechanismen</strong> haben Ihnen dabei geholfen, <strong>Zusammenarbeit</strong> und Team-Geist <strong>trotz weniger Präsenz</strong> zu erhalten? Welchen <strong>Prozentsatz</strong> an <strong>Home-Office</strong> sehen Sie zukünftig <strong>für die IT-Einrichtung</strong> Ihrer Hochschule? Wie sehen Sie die <strong>Rolle der IT</strong> an Ihrer Hochschule <strong>nach Corona</strong>? Weiterhin wird nach den Modellen zur IT-Governance gefragt.
description: Dieser Datensatz enthält die Rohdaten zur Umfrage. Die Auswertung der Daten findet sich unter https://doi.org/10.5281/zenodo.6012936
DOI: 10.5281/zenodo.6012975
title: Rohdaten zu den Ergebnissen der ZKI Top Trends-Umfrage des ZKI-Arbeitskreises Strategie und Organisation für das Jahr 2022

description: Der Arbeitskreis Strategie und Organisation des ZKI-Vereins führt eine jährliche Umfrage zu den wichtigsten Themen und Trends von IT-Einrichtungen aus Hochschulen und Forschungseinrichtungen durch. Die Umfrageergebnisse sollen dabei helfen, wichtige Entwicklungen, Themen und Best Practices im Blick zu behalten und bei den umfangreichen Themenfeldern der Digitalisierung und der rasanten Erneuerung von Technologien Schritt zu halten bzw. auch Inspiration für die weitere Ausgestaltung an der eigenen Einrichtung zu gewinnen. Die Kernumfrage adressiert die wichtigsten Themen und Veränderungen im Umfragejahr in standardisierter Form. Darüber hinaus werden in jedem Jahr individuelle Schwerpunkte abgefragt, die viele Einrichtungen beschäftigen. Im Jahr 2022 waren die Schwerpunktfragen über die Kernumfrage hinaus: Hat die <strong>Nutzung von externen Cloud-Angeboten</strong> während der Pandemie eher zugenommen oder eher abgenommen? In welchem <strong>Umfang</strong> setzen Sie <strong>Cloud-Technologien</strong> ein? Welche <strong>Maßnahmen</strong> haben Sie im Bereich <strong>"Digitale Souveränität"</strong> getroffen? Welche <strong>spezifischen Aspekte</strong> sehen Sie für Hochschulen und Forschungseinrichtungen im Bereich <strong>Digitaler Souveränität</strong>? Welche <strong>Auswirkungen</strong> sehen Sie durch Corona für die <strong>Arbeitsplatzgestaltung</strong>? Welche <strong>Tools und Mechanismen</strong> haben Ihnen dabei geholfen, <strong>Zusammenarbeit</strong> und Team-Geist <strong>trotz weniger Präsenz</strong> zu erhalten? Welchen <strong>Prozentsatz</strong> an <strong>Home-Office</strong> sehen Sie zukünftig <strong>für die IT-Einrichtung</strong> Ihrer Hochschule? Wie sehen Sie die <strong>Rolle der IT</strong> an Ihrer Hochschule <strong>nach Corona</strong>? Weiterhin wird nach den Modellen zur IT-Governance gefragt.
description: Dieser Datensatz enthält die Rohdaten zur Umfrage. Die Auswertung der Daten findet sich unter https://doi.org/10.5281/zenodo.6012936
DOI: 10.5281/zenodo.6011934
title: Stable Isotopes of Water from the Glacier de Martinets, 14-September-2021

description: Thirty samples from the Martinets Glacier in Vaud, Switzerland collected on single day in September 2021. Data set includes ice, water flowing on glacier, and old snow. All ice was sampled at a maximum of 10 cm under the surface. Some duplicate samples are included. Dataset includes deuterium, O-17 and O-18. All analyses were completed with a Picarro CRDS at the Geography Institute of the University of Bern. Metadata includes latitude, longitude, elevation, date, time, and notes.
DOI: 10.5281/zenodo.6011933
title: Stable Isotopes of Water from the Glacier de Martinets, 14-September-2021

description: Thirty samples from the Martinets Glacier in Vaud, Switzerland collected on single day in September 2021. Data set includes ice, water flowing on glacier, and old snow. All ice was sampled at a maximum of 10 cm under the surface. Some duplicate samples are included. Dataset includes deuterium, O-17 and O-18. All analyses were completed with a Picarro CRDS at the Geography Institute of the University of Bern. Metadata includes latitude, longitude, elevation, date, time, and notes.
DOI: 10.5281/zenodo.6024747
title: DOREMI Database

description: The DOREMI database includes the collected data on nutritional status, physical, somatometric, hemodynamic, and biochemical measurements, and body composition of participants to the trial
DOI: 10.5281/zenodo.6024746
title: DOREMI Database

description: The DOREMI database includes the collected data on nutritional status, physical, somatometric, hemodynamic, and biochemical measurements, and body composition of participants to the trial
DOI: 10.5255/ukda-sn-855439
title: Establishing How Intergroup Bias Influences the Formation and Evolution of Stereotypes - Experimental Data, 2017-2020

description: These are data from the primary dependent measures from my ESRC grant examining how intergoup bias influences the formation of novel lab-based stereotypes via a process of cumulative cultural evolution. The data were collected from undergraduate participants who were tested individually. Each participant was a single 'generation' within a 'diffusion chain' of four generations. Participants were asked to try and learn some information about some novel social targets. The responses each participant produced during a test phase were used as the learning materials for the next participant (i.e., generation). The dependent measures of interest were the accuracy with which people completed the task and the amount of structure that was present in their responses. We were interested in whether a stereotype-like categorical structure would develop as information was passed down the chains and whether this would result in associated increases in accuracy.
DOI: 10.5281/zenodo.6014201
title: The height-dependent delayed ionospheric response to solar EUV - data comparison - secondary files 141 - 143

description: <strong>Secondary files for doy 141 - 143</strong> For comparison with the observational results a TIE-GCM v2.0 model run in the 2.5 × 2.5 configuration is calculated. In order to converge to stable initial condition the model runs for 30 days prior to the final simulation starting at 28 March 2019. This initial run is configured with default parameters. The final run from 27 April 2019 to 24 May 2019 uses the default configuration of TIE-GCM with the Heelis Electric Convection Field Model (Heelis et al., 1982) as the high-latitude potential model. The input forcing is used from the NASA/GSFC’s OMNI data set
DOI: 10.5281/zenodo.6014200
title: The height-dependent delayed ionospheric response to solar EUV - data comparison - secondary files 141 - 143

description: <strong>Secondary files for doy 141 - 143</strong> For comparison with the observational results a TIE-GCM v2.0 model run in the 2.5 × 2.5 configuration is calculated. In order to converge to stable initial condition the model runs for 30 days prior to the final simulation starting at 28 March 2019. This initial run is configured with default parameters. The final run from 27 April 2019 to 24 May 2019 uses the default configuration of TIE-GCM with the Heelis Electric Convection Field Model (Heelis et al., 1982) as the high-latitude potential model. The input forcing is used from the NASA/GSFC’s OMNI data set
DOI: 10.5281/zenodo.6014195
title: The height-dependent delayed ionospheric response to solar EUV - data comparison - secondary files 135 - 140

description: <strong>Secondary files for doy 135 - 140</strong> For comparison with the observational results a TIE-GCM v2.0 model run in the 2.5 × 2.5 configuration is calculated. In order to converge to stable initial condition the model runs for 30 days prior to the final simulation starting at 28 March 2019. This initial run is configured with default parameters. The final run from 27 April 2019 to 24 May 2019 uses the default configuration of TIE-GCM with the Heelis Electric Convection Field Model (Heelis et al., 1982) as the high-latitude potential model. The input forcing is used from the NASA/GSFC’s OMNI data set
DOI: 10.5281/zenodo.6014194
title: The height-dependent delayed ionospheric response to solar EUV - data comparison - secondary files 135 - 140

description: <strong>Secondary files for doy 135 - 140</strong> For comparison with the observational results a TIE-GCM v2.0 model run in the 2.5 × 2.5 configuration is calculated. In order to converge to stable initial condition the model runs for 30 days prior to the final simulation starting at 28 March 2019. This initial run is configured with default parameters. The final run from 27 April 2019 to 24 May 2019 uses the default configuration of TIE-GCM with the Heelis Electric Convection Field Model (Heelis et al., 1982) as the high-latitude potential model. The input forcing is used from the NASA/GSFC’s OMNI data set
DOI: 10.48370/ofd/glvecx
title: Cantharellus tubaeformis Bull.: Fr., 2073

description: Fungarium Macromycetes
DOI: 10.34740/kaggle/dsv/3161941
title: Review mechanisms labour market discrimination
DOI: 10.48370/ofd/q0szti
title: Cantharellus tubaeformis Bull.: Fr., 3433

description: Fungarium Macromycetes
DOI: 10.25430/researchdata.cab.unipd.it.00000581
title: EJSP Corpus 1971-2016

description: Dataset used in the study related to the following paper: Rizzoli, V., Castro, P., Tuzzi, A., & Contarello, A. (2019). Probing the history of social psychology, exploring diversity and views of the social: Publication trends in the European Journal of Social Psychology from 1971 to 2016. European Journal of Social Psychology, 49(4), 671-687. https://doi.org/10.1002/ejsp.2528
DOI: 10.5286/isis.e.rb2210387
title: Lithium diffusion in the solid-state electrolyte Li5+xLa3Nb2-xZrxO12

description: The development of cheap, efficient, and safe batteries is a key objective in the wider societal quest to build a green future. A promising technology in this regard is the lithium solid-state battery, where electrical current is made to flow by the migration of lithium ions through a material called an electrolyte. The use of a solid electrolyte confers the possible benefits of a higher energy storage capacity and stability over current battery technology, which uses liquid electrolytes. In the proposed study, we aim to investigate the atomic-scale motions of the lithium ions in one candidate solid-state electrolyte material, Li5+xLa3Nb2-xZrxO12. This will both provide important information on how lithium migrates through the material, and help to improve future computer simulations of similar processes.
DOI: 10.5286/isis.e.rb2210387-1
title: Lithium diffusion in the solid-state electrolyte Li5+xLa3Nb2-xZrxO12

description: The development of cheap, efficient, and safe batteries is a key objective in the wider societal quest to build a green future. A promising technology in this regard is the lithium solid-state battery, where electrical current is made to flow by the migration of lithium ions through a material called an electrolyte. The use of a solid electrolyte confers the possible benefits of a higher energy storage capacity and stability over current battery technology, which uses liquid electrolytes. In the proposed study, we aim to investigate the atomic-scale motions of the lithium ions in one candidate solid-state electrolyte material, Li5+xLa3Nb2-xZrxO12. This will both provide important information on how lithium migrates through the material, and help to improve future computer simulations of similar processes.
DOI: 10.25345/c5z006
title: MassIVE MSV000088806 - GNPS shimian qwertyuiop1234567890
title: Enter at least 3 characters to see options from the controlled vocabulary. If what you want isn't available, then you can just type free text and add it by clicking the "Add" button.
DOI: 10.48370/ofd/cugp3r
title: Capronia porothelia (Berk. M.A.Curtis) M.E.Barr, 4025

description: Fungarium Macromycetes
DOI: 10.5281/zenodo.5999046
title: Semantic object-scene inconsistencies affect eye movements, but not in the way predicted by contextualized meaning maps - data

description: Data from the article<strong><em> Semantic object-scene inconsistencies affect eye movements, but not in the way predicted by contextualized meaning maps</em></strong> published in Journal of Vision. code: https://zenodo.org/record/5999215<br> data: https://zenodo.org/record/5999046 <br> Marek A. Pedziwiatr<br> marek.pedziwi@gmail.com<br> February 2022
DOI: 10.5281/zenodo.5999045
title: Semantic object-scene inconsistencies affect eye movements, but not in the way predicted by contextualized meaning maps - data

description: Data from the article<strong><em> Semantic object-scene inconsistencies affect eye movements, but not in the way predicted by contextualized meaning maps</em></strong> published in Journal of Vision. code: https://zenodo.org/record/5999215<br> data: https://zenodo.org/record/5999046 <br> Marek A. Pedziwiatr<br> marek.pedziwi@gmail.com<br> February 2022
DOI: 10.21954/ou.rd.9699236
title: Audio Feedback Project Survey Questions

description: This is the complete list of questionnaire questions for the U101 Audio Feedback Project. It was an adaptive survey dependant on which student group responded (Written, audio or summary). For a full description of the study, please refer to the full paper (in press). Please contact Derek Jones (derek.jones@open.ac.uk) or Clive Hilton (clive.hilton@open.ac.uk) for further details.
DOI: 10.21954/ou.rd.9699236.v1
title: Audio Feedback Project Survey Questions

description: This is the complete list of questionnaire questions for the U101 Audio Feedback Project. It was an adaptive survey dependant on which student group responded (Written, audio or summary). For a full description of the study, please refer to the full paper (in press). Please contact Derek Jones (derek.jones@open.ac.uk) or Clive Hilton (clive.hilton@open.ac.uk) for further details.
DOI: 10.25345/c5sk41
title: MassIVE MSV000088807 - GNPS shimian qwertyuiop1234567890-2
title: Enter at least 3 characters to see options from the controlled vocabulary. If what you want isn't available, then you can just type free text and add it by clicking the "Add" button.
DOI: 10.17632/kk8jr9k6nn.1
title: Data for "B1 lymphocytes develop independently of Notch signaling during mouse embryonic development"

description: B1 lymphocytes are a small but unique component of the innate immune-like cells. However, their ontogenic origin is still a matter of debate. Although it is widely accepted that B1 cells originate early in fetal life, whether or not they arise from hematopoietic stem cells (HSCs) is still unclear. In order to shed light on the B1 cell origin, we set out to determine whether their lineage specification is dependent on Notch signaling, which is essential for the HSC generation and, therefore, all derivatives lineages. Using mouse embryonic stem cells (mESCs) to recapitulate murine embryonic development, we have studied the requirement for Notch signaling during the earliest B-cell lymphopoiesis and found that Rbpj-deficient mESCs are able to generate B1 cells. Their Notch independence was confirmed in ex vivo experiments using Rbpj-deficient embryos. In addition, we found that upregulation of Notch signaling induced the emergence of B2 lymphoid cells. Taken together, these findings indicate that control of Notch signaling dose is crucial for different B-cell lineage specification from endothelial cells and provides pivotal information for their in vitro generation from PSCs for therapeutic applications.
DOI: 10.1242/dev.199373
DOI: 10.5517/ccdc.csd.cc1zt8gj
title: CCDC 1841538: Experimental Crystal Structure Determination

description: Related Article: Yong Dai, Hui-Min Chai, Rui-Xin Zhang, Jun-An Min, Zhao Wang, Meng Zhang, Yu Zhang, Jing Feng, Chi Zhang, Juan Wang|2020|Inorg.Chem.Commun.|111|107628|doi:10.1016/j.inoche.2019.107628
DOI: 10.5517/ccdc.csd.cc1zt8hk
title: CCDC 1841539: Experimental Crystal Structure Determination

description: Related Article: Yong Dai, Hui-Min Chai, Rui-Xin Zhang, Jun-An Min, Zhao Wang, Meng Zhang, Yu Zhang, Jing Feng, Chi Zhang, Juan Wang|2020|Inorg.Chem.Commun.|111|107628|doi:10.1016/j.inoche.2019.107628
DOI: 10.5517/ccdc.csd.cc20sd18
title: CCDC 1870479: Experimental Crystal Structure Determination

description: Related Article: Yong Dai, Hui-Min Chai, Rui-Xin Zhang, Jun-An Min, Zhao Wang, Meng Zhang, Yu Zhang, Jing Feng, Chi Zhang, Juan Wang|2020|Inorg.Chem.Commun.|111|107628|doi:10.1016/j.inoche.2019.107628
DOI: 10.5517/ccdc.csd.cc21wwxr
title: CCDC 1903645: Experimental Crystal Structure Determination

description: Related Article: Ying-Bing Lu, Shui-Hu Wang, Shui-Dong Zhu, Ya-Qi Zhuo, Xiang-Li Lin, Gen-Mei Yang, Yong-Rong Xie|2020|Inorg.Chem.Commun.|111|107667|doi:10.1016/j.inoche.2019.107667
DOI: 10.5517/ccdc.csd.cc21wx84
title: CCDC 1903656: Experimental Crystal Structure Determination

description: Related Article: Ying-Bing Lu, Shui-Hu Wang, Shui-Dong Zhu, Ya-Qi Zhuo, Xiang-Li Lin, Gen-Mei Yang, Yong-Rong Xie|2020|Inorg.Chem.Commun.|111|107667|doi:10.1016/j.inoche.2019.107667
DOI: 10.5517/ccdc.csd.cc21wx95
title: CCDC 1903657: Experimental Crystal Structure Determination

description: Related Article: Ying-Bing Lu, Shui-Hu Wang, Shui-Dong Zhu, Ya-Qi Zhuo, Xiang-Li Lin, Gen-Mei Yang, Yong-Rong Xie|2020|Inorg.Chem.Commun.|111|107667|doi:10.1016/j.inoche.2019.107667
DOI: 10.5517/ccdc.csd.cc21wxb6
title: CCDC 1903658: Experimental Crystal Structure Determination

description: Related Article: Ying-Bing Lu, Shui-Hu Wang, Shui-Dong Zhu, Ya-Qi Zhuo, Xiang-Li Lin, Gen-Mei Yang, Yong-Rong Xie|2020|Inorg.Chem.Commun.|111|107667|doi:10.1016/j.inoche.2019.107667
DOI: 10.5517/ccdc.csd.cc2235s5
title: CCDC 1909686: Experimental Crystal Structure Determination

description: Related Article: Xue Zhang, Shuang Wang, Tingting Yan, Jun Zhang, Fang Luo|2020|Inorg.Chem.Commun.|111|107634|doi:10.1016/j.inoche.2019.107634
DOI: 10.5517/ccdc.csd.cc2235ft
title: CCDC 1909675: Experimental Crystal Structure Determination

description: Related Article: Xue Zhang, Shuang Wang, Tingting Yan, Jun Zhang, Fang Luo|2020|Inorg.Chem.Commun.|111|107634|doi:10.1016/j.inoche.2019.107634