cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7530421
title: Health versus environmental benefits: Does additional information influence consumer acceptance of pulse-based spreads?

description: Despite the known health benefits and the potential for substituting less environmentally sustainable consumed foods such as meat, the current intake of pulses in developed countries remains less than recommended. Barriers are related to sensory characteristics and lack of knowledge about preparation, while drivers of environmental benefits are intangible. The aim of this study was to investigate the effect of additional information about health or environmental benefits of pulses on the acceptance of novel pulse-based products from chickpeas, black beans, and faba beans. Perceptions of these pulse-based spreads in a blind and informed stage were assessed with 202 consumers in urban and sub-urban areas of Denmark. In general, the familiar chickpea spread followed by the relatively most unfamiliar black bean spread was liked the most. Only for these two products, additional information increased hedonic perception, regardless of the context (health or environmental benefits). If consumers did not like the spread, as found for the faba bean spread, providing additional information did not significantly alter this perception. Participants’ preferences and willingness-to-pay (WTP) in a discrete choice experiment (DCE) was corresponding with hedonic scores while providing additional information was found to increase the WTP. These findings suggest that extrinsic cues such as health or environmental benefits may only be useful in products with an acceptable baseline taste profile. Moreover, black beans might be investigated as a promising source for further product development due to their acceptance by consumers besides being the comparably most unfamiliar pulse type.
DOI: 10.5281/zenodo.7530420
title: Health versus environmental benefits: Does additional information influence consumer acceptance of pulse-based spreads?

description: Despite the known health benefits and the potential for substituting less environmentally sustainable consumed foods such as meat, the current intake of pulses in developed countries remains less than recommended. Barriers are related to sensory characteristics and lack of knowledge about preparation, while drivers of environmental benefits are intangible. The aim of this study was to investigate the effect of additional information about health or environmental benefits of pulses on the acceptance of novel pulse-based products from chickpeas, black beans, and faba beans. Perceptions of these pulse-based spreads in a blind and informed stage were assessed with 202 consumers in urban and sub-urban areas of Denmark. In general, the familiar chickpea spread followed by the relatively most unfamiliar black bean spread was liked the most. Only for these two products, additional information increased hedonic perception, regardless of the context (health or environmental benefits). If consumers did not like the spread, as found for the faba bean spread, providing additional information did not significantly alter this perception. Participants’ preferences and willingness-to-pay (WTP) in a discrete choice experiment (DCE) was corresponding with hedonic scores while providing additional information was found to increase the WTP. These findings suggest that extrinsic cues such as health or environmental benefits may only be useful in products with an acceptable baseline taste profile. Moreover, black beans might be investigated as a promising source for further product development due to their acceptance by consumers besides being the comparably most unfamiliar pulse type.
DOI: 10.57967/hf/0269
title: stacked-xsum
DOI: 10.6073/pasta/ab614c15688f828736cc785e67ef09dd
title: Hubbard Brook Experimental Forest: Watershed 3 Lateral Weathering Pedon Descriptions

description: Soil pits and horizons were described and sampled as part of the Lateral Weathering project within Watershed 3, Hubbard Brook Experimental Forest, Woodstock, NH, USA from 2018-2020. Soil pits were dug and described using NRCS methods. When possible, physical samples were archived in the Hubbard Brook Sample Archive. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
DOI: 10.18434/mds2-2854
title: Electric field inhomogeneity
DOI: 10.5281/zenodo.7530149
title: GIS-Analyse zur Identifikation von Potenzialflächen zum Stadtkonzept Schwammstadt Wuppertal

description: This file contains a digital map for use in GIS. It was created as a part of a bachelor thesis and is to be understood as a working scheme that can be supplemented in practical work. The map contains assessments for sub-areas of the Wuppertal urban area that show potential for implementation according to the Sponge City concept. This is made up of varius criteria from the subject area of affectedness and suitability. The attribute table contains the information of the class rating as well as the total value for the corresponding sub-area. In addition, the evaluation of the inidividual criteria are available in the map, which are the basis for the final evaluation. Criteria: Heat-affectedness, population density, vulnerable population groups, socio-economic service facilities, green roof potential, communal street trees, sealed surfaces with connection to the canal. ______________________________________________ Die vorliegende Datei enthält eine digitale Karte zur Verwendung in GIS. Sie ist im Rahmen einer Bachelorarbeit entstanden und ist als Arbeitsschema zu verstehen, welches in der praktischen Arbeit ergänzt werden kann. Die Karte enthält Bewertungen für Teilflächen des Wuppertaler Stadtgebiets, welche das Potenzial zur Umgestaltung nach dem Stadtkonzept Schwammstadt aufzeigen. Dieses setzt sich aus verschiedenen Kriterien aus dem Themenbereich Betroffenheit und Eignung zusammen. Die Attributtabelle enthält die Informationen zu der Klassenbewertung sowie dem Gesamtwert für die entsprechende Teilfläche. Zudem sind die Bewertung der einzelnen Kriterien in der Karte hinterlegt, welche als Grundlage für die Abschlussbewertung dienen. Kriterien: Hitzebetroffenheit, Bevölkerungsdichte, vulnerable Bevölkerungsgruppen, sozioökonomische Dienstleistungseinrichtungen, Gründachpotenzial, kommunale Straßenbäume, versiegelte Flächen mit Anschluss an den Kanal Datenquelle: Stadtverwaltung Wuppertal, Landesamt für Natur, Umwelt und Verbraucherschutz Nordrhein-Westfalen (https://www.opengeodata.nrw.de/produkte/umwelt_klima/klima/gruendachkataster/)
DOI: 10.5281/zenodo.7530148
title: GIS-Analyse zur Identifikation von Potenzialflächen zum Stadtkonzept Schwammstadt Wuppertal

description: This file contains a digital map for use in GIS. It was created as a part of a bachelor thesis and is to be understood as a working scheme that can be supplemented in practical work. The map contains assessments for sub-areas of the Wuppertal urban area that show potential for implementation according to the Sponge City concept. This is made up of varius criteria from the subject area of affectedness and suitability. The attribute table contains the information of the class rating as well as the total value for the corresponding sub-area. In addition, the evaluation of the inidividual criteria are available in the map, which are the basis for the final evaluation. Criteria: Heat-affectedness, population density, vulnerable population groups, socio-economic service facilities, green roof potential, communal street trees, sealed surfaces with connection to the canal. ______________________________________________ Die vorliegende Datei enthält eine digitale Karte zur Verwendung in GIS. Sie ist im Rahmen einer Bachelorarbeit entstanden und ist als Arbeitsschema zu verstehen, welches in der praktischen Arbeit ergänzt werden kann. Die Karte enthält Bewertungen für Teilflächen des Wuppertaler Stadtgebiets, welche das Potenzial zur Umgestaltung nach dem Stadtkonzept Schwammstadt aufzeigen. Dieses setzt sich aus verschiedenen Kriterien aus dem Themenbereich Betroffenheit und Eignung zusammen. Die Attributtabelle enthält die Informationen zu der Klassenbewertung sowie dem Gesamtwert für die entsprechende Teilfläche. Zudem sind die Bewertung der einzelnen Kriterien in der Karte hinterlegt, welche als Grundlage für die Abschlussbewertung dienen. Kriterien: Hitzebetroffenheit, Bevölkerungsdichte, vulnerable Bevölkerungsgruppen, sozioökonomische Dienstleistungseinrichtungen, Gründachpotenzial, kommunale Straßenbäume, versiegelte Flächen mit Anschluss an den Kanal Datenquelle: Stadtverwaltung Wuppertal, Landesamt für Natur, Umwelt und Verbraucherschutz Nordrhein-Westfalen (https://www.opengeodata.nrw.de/produkte/umwelt_klima/klima/gruendachkataster/)
DOI: 10.18434/mds2-2832
title: Phase-Resolved Rydberg Atom Field Sensing using Quantum Interferometry
DOI: 10.5281/zenodo.7036194
title: cross-correlations of seismic data nodes Lipari 2018

description: Stacked cross-correlation functions of the continuous seismic data recorded at the nodes installed at Lipari in 2018. Data in SAC format. All details about stations (name, latitude longitude, elevation) and data ( sampling rate, starting and ending time, etc) are in the HEADER of each file.
description: {"references": ["Di Luccio, F., P. Persaud, L. Cucci, A. Esposito, G., Ventura, and R. W. Clayton (2019). Seismic sensors probe Lipari's underground plumbing. Eos, 100, doi.org/10.1029/2019EO125333", "Cal\u00f2, M., Di Luccio F., Persaud P., Ventura G. Ambient Noise Tomography of the Lipari Volcanic Island (Southern Italy) from a Dense Nodal Array, Geophysical Research Letters"]}
DOI: 10.5281/zenodo.7036193
title: cross-correlations of seismic data nodes Lipari 2018

description: Stacked cross-correlation functions of the continuous seismic data recorded at the nodes installed at Lipari in 2018. Data in SAC format. All details about stations (name, latitude longitude, elevation) and data ( sampling rate, starting and ending time, etc) are in the HEADER of each file.
description: {"references": ["Di Luccio, F., P. Persaud, L. Cucci, A. Esposito, G., Ventura, and R. W. Clayton (2019). Seismic sensors probe Lipari's underground plumbing. Eos, 100, doi.org/10.1029/2019EO125333", "Cal\u00f2, M., Di Luccio F., Persaud P., Ventura G. Ambient Noise Tomography of the Lipari Volcanic Island (Southern Italy) from a Dense Nodal Array, Geophysical Research Letters"]}
DOI: 10.6084/m9.figshare.21539931.v1
title: DATA from: Jack pine of all trades: deciphering intraspecific variability of a key adaptive trait at the rear edge of a widespread fire-embracer North American conifer

description: Data from: Jack pine of all trades: deciphering intraspecific variability of a key adaptive trait at the rear edge of a widespread fire-embracer North American conifer. American Journal of Botany. A MSExcel spreadsheet reporting results of 1) an experiment whereby closed jack pine (Pinus banksiana) cones were submitted to incrementing temperatures, and 2) a seed germination tests in order to investigate if and how various ecological factors (cone age, branch height, tree size, tree age) are related to cone dehiscence and seed viability in jack pines from the rear-edge (n = 17 sites) and the core (n = 7 sites) of the species’ range in eastern Canada. <br> <br> Sheet 1 - Metadata. Provides details about the study sites (Region, Site abbreviation, Site name, Sampling date, Longitude, Latitude, Altitude) <br> Sheet 2 - Stand-scale serotiny. At each site, up to 100 mature jack pine individuals were assigned to to one of six serotiny levels: class 0 (0% closed cones), class 1 (1−25% closed cones), class 2 (26−50% closed cones), class 3 (51−75% closed cones), class 4 (76−99% closed cones), or class 5 (100% closed cones). The diameter at breast height (DBH) of each tree sampled for serotiny is also provided in this sheet. <br> Sheet 3 - Experiments. At each site, 10 randomly-chosen mature jack pines were sampled. Three cone-bearing branches from different measured heights (lower, middle, and upper parts of the tree crown) were cut. For each tree, diameter at breast heigth (Tree DBH) was recorded and a core was sampled using a Pressler increment borer as close to the ground as possible. At the laboratory, three fully closed cones of contrasted ages were sampled from each branch (n = 1381 cones). Cone age and tree age was determined by counting growth rings. The cone opening temperatures correspond to the temperature required to reach each opening level, which refers to the relative abundance of opened scales on each individual cone (level 1: 1-25% opening, level 2: 26-50% opening, level 3: 51-75% opening and level 4: 76-100% opening). For each cone, the total number of seeds and the number of filled seeds were recorded. The filled seeds of each cone were batch-weighed. A total of 23,404 seeds were set to germinate. Every day (n = 33 days), germinated seeds (radicle &gt; 2 mm) were counted.
DOI: 10.5281/zenodo.7311150
title: Aberrant phase separation and nucleolar dysfunction can underlie rare genetic diseases

description: This dataset provides companion data to the paper "Aberrant phase separation and nucleolar dysfunction can underlie rare genetic diseases". It includes raw data, images and computational code to generate the figures in the study.
DOI: 10.5281/zenodo.7311149
title: Aberrant phase separation and nucleolar dysfunction can underlie rare genetic diseases

description: This dataset provides companion data to the paper "Aberrant phase separation and nucleolar dysfunction can underlie rare genetic diseases". It includes raw data, images and computational code to generate the figures in the study.
DOI: 10.18434/mds2-2724
title: Electrolytic Conductivity Measurements for Ten Ionic Liquids
DOI: 10.6084/m9.figshare.21892263
title: Original data for the UAV-GPR method

description: Original data of manuscript " Estimation of surface soil moisture by a multi-elevation UAV-based ground penetrating radar".
DOI: 10.5281/zenodo.7032895
title: Data associated with "Developing a standardized but extendable framework to increase the findability of infectious disease datasets"

description: <strong>Data associated with "Developing a standardized but extendable framework to increase the findability of infectious disease datasets"</strong> Includes: NIAID Dataset schema NIAID ComputationalTool schema Crosswalk between NIAID schemas and common schemas Survey of Schema.org-compliant repositories <br> The open access movement and scientific reproducibility concerns have led the biomedical research community to embrace efforts to make scientific datasets openly accessible. While many datasets are now available, there are still challenges in ensuring that they are Findable, Accessible, Interoperable, and Reusable (FAIR). To improve the FAIRness of datasets, we evaluated dataset repositories for compliance with Schema.org standards – a collection of standards developed to increase metadata searchability across the internet. Adoption of the Schema.org Dataset standard was highly variable in biomedical research datasets, and the standard omitted many desirable metadata fields. We customized the Schema.org Dataset standard to catalog datasets collected across a Systems Biology research consortium consisting of 15 Centers. We developed a reusable process for creating a schema which is interoperable with other standards, but still extendable and customizable to a particular context. Here, we describe our process along with the associated gains in FAIRness, and discuss ongoing challenges with dataset discoverability – the first step to ensure that the vast amount of open data published by the research community is reused to its maximum value.
description: This work was supported in part by the National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH) grants U01 AI124290 (Baylor: TS, QW), U01 AI124302 (Boston College: JB), U19 AI135995 (Scripps Research: MC, LDH, GT, AIS, CW, JX, XZ), U19 AI135964 (Northwestern: MK, LVR, JS), U19AI135972 (Sanford Burnham Prebys: LP); National Center for Advancing Translational Sciences NIH grant U24 TR002306 (Scripps Research: MC, LDH, GT, AIS, CW, JX, XZ); and National Institute of General Medical Sciences grant R01 GM083924 (Scripps Research: MC, GT, AIS, CW, JX, XZ). We acknowledge the NIAID/DMID Systems Biology Consortium for Infectious Diseases Data Dissemination Working Group for developing the NIAID schemas, registering center-created datasets and computational tools, and providing critical feedback on the manuscript. We thank Reed Shabman for his leadership within the Data Dissemination Working Group, coordinating with centers to register datasets and tools, and helpful comments and careful revisions of the paper. We additionally thank Liliana Brown for the support of the Program this paper originated from.
DOI: 10.5281/zenodo.7032896
title: Data associated with "Developing a standardized but extendable framework to increase the findability of infectious disease datasets"

description: <strong>Data associated with "Developing a standardized but extendable framework to increase the findability of infectious disease datasets"</strong> Includes: NIAID Dataset schema NIAID ComputationalTool schema Crosswalk between NIAID schemas and common schemas Survey of Schema.org-compliant repositories <br> The open access movement and scientific reproducibility concerns have led the biomedical research community to embrace efforts to make scientific datasets openly accessible. While many datasets are now available, there are still challenges in ensuring that they are Findable, Accessible, Interoperable, and Reusable (FAIR). To improve the FAIRness of datasets, we evaluated dataset repositories for compliance with Schema.org standards – a collection of standards developed to increase metadata searchability across the internet. Adoption of the Schema.org Dataset standard was highly variable in biomedical research datasets, and the standard omitted many desirable metadata fields. We customized the Schema.org Dataset standard to catalog datasets collected across a Systems Biology research consortium consisting of 15 Centers. We developed a reusable process for creating a schema which is interoperable with other standards, but still extendable and customizable to a particular context. Here, we describe our process along with the associated gains in FAIRness, and discuss ongoing challenges with dataset discoverability – the first step to ensure that the vast amount of open data published by the research community is reused to its maximum value.
description: This work was supported in part by the National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH) grants U01 AI124290 (Baylor: TS, QW), U01 AI124302 (Boston College: JB), U19 AI135995 (Scripps Research: MC, LDH, GT, AIS, CW, JX, XZ), U19 AI135964 (Northwestern: MK, LVR, JS), U19AI135972 (Sanford Burnham Prebys: LP); National Center for Advancing Translational Sciences NIH grant U24 TR002306 (Scripps Research: MC, LDH, GT, AIS, CW, JX, XZ); and National Institute of General Medical Sciences grant R01 GM083924 (Scripps Research: MC, GT, AIS, CW, JX, XZ). We acknowledge the NIAID/DMID Systems Biology Consortium for Infectious Diseases Data Dissemination Working Group for developing the NIAID schemas, registering center-created datasets and computational tools, and providing critical feedback on the manuscript. We thank Reed Shabman for his leadership within the Data Dissemination Working Group, coordinating with centers to register datasets and tools, and helpful comments and careful revisions of the paper. We additionally thank Liliana Brown for the support of the Program this paper originated from.
DOI: 10.5281/zenodo.7458638
title: Data associated with "Developing a standardized but extendable framework to increase the findability of infectious disease datasets"

description: <strong>Data associated with "Developing a standardized but extendable framework to increase the findability of infectious disease datasets"</strong> Includes: NIAID Dataset schema NIAID ComputationalTool schema Crosswalk between NIAID schemas and common schemas Survey of Schema.org-compliant repositories <br> The open access movement and scientific reproducibility concerns have led the biomedical research community to embrace efforts to make scientific datasets openly accessible. While many datasets are now available, there are still challenges in ensuring that they are Findable, Accessible, Interoperable, and Reusable (FAIR). To improve the FAIRness of datasets, we evaluated dataset repositories for compliance with Schema.org standards – a collection of standards developed to increase metadata searchability across the internet. Adoption of the Schema.org Dataset standard was highly variable in biomedical research datasets, and the standard omitted many desirable metadata fields. We customized the Schema.org Dataset standard to catalog datasets collected across a Systems Biology research consortium consisting of 15 Centers. We developed a reusable process for creating a schema which is interoperable with other standards, but still extendable and customizable to a particular context. Here, we describe our process along with the associated gains in FAIRness, and discuss ongoing challenges with dataset discoverability – the first step to ensure that the vast amount of open data published by the research community is reused to its maximum value.
description: This work was supported in part by the National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH) grants U01 AI124290 (Baylor: TS, QW), U01 AI124302 (Boston College: JB), U19 AI135995 (Scripps Research: MC, LDH, GT, AIS, CW, JX, XZ), U19 AI135964 (Northwestern: MK, LVR, JS), U19AI135972 (Sanford Burnham Prebys: LP); National Center for Advancing Translational Sciences NIH grant U24 TR002306 (Scripps Research: MC, LDH, GT, AIS, CW, JX, XZ); and National Institute of General Medical Sciences grant R01 GM083924 (Scripps Research: MC, GT, AIS, CW, JX, XZ). We acknowledge the NIAID/DMID Systems Biology Consortium for Infectious Diseases Data Dissemination Working Group for developing the NIAID schemas, registering center-created datasets and computational tools, and providing critical feedback on the manuscript. We thank Reed Shabman for his leadership within the Data Dissemination Working Group, coordinating with centers to register datasets and tools, and helpful comments and careful revisions of the paper. We additionally thank Liliana Brown for the support of the Program this paper originated from.