cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8154507
title: Singlets in gauge theories with fundamental matter - data release

description: This release contains all data and metadata used to prepare the publication Singlets in gauge theories with fundamental matter. Further details are given in the file README.md.
description: FZ is supported by the Austrian Science Fund research teams grant STRONG-DM (FG1) and acknowledges travel support for part of this work by the city of Graz. The work of EB is supported by the UKRI Science and Technology Facilities Council (STFC) Research Software Engineering Fellowship EP/V052489/1, and by the ExaTEPP project EP/X017168/1. The work of JWL was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government(MSIT) (NRF-2018R1C1B3001379) and by IBS under the project code, IBS-R018-D1. The work of BL and MP has been supported in part by the STFC Consolidated Grants No.~ST/P00055X/1 and No. ST/T000813/1. BL and MP received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program under Grant Agreement No.~813942. The work of BL is further supported in part by the Royal Society Wolfson Research Merit Award WM170010 and by the Leverhulme Trust Research Fellowship No. RF-2020-4619. The work of HH is supported by the Taiwanese MoST grant 109-2112-M-009-006-MY3. The computations have been partially performed on the HPC cluster of the University of Graz and on the Vienna Scientific Cluster (VSC4), and partially on the DiRAC Data Intensive service at Leicester. The DiRAC Data Intensive service at Leicester is operated by the University of Leicester IT Services, and forms part of the STFC DiRAC HPC Facility (www.dirac.ac.uk). The DiRAC Data Intensive service equipment at Leicester was funded by BEIS capital funding via STFC capital grants ST/K000373/1 and ST/R002363/1 and STFC DiRAC Operations grant ST/R001014/1. DiRAC is part of the National e-Infrastructure.
DOI: 10.5281/zenodo.10352099
title: Singlets in gauge theories with fundamental matter - data release

description: This release contains all data and metadata used to prepare the publication Singlets in gauge theories with fundamental matter.
Further details are given in the file README.md.
description: FZ is supported by the Austrian Science Fund research teams grant STRONG-DM (FG1) and acknowledges travel support for part of this work by the city of Graz. The work of EB is supported by the UKRI Science and Technology Facilities Council (STFC) Research Software Engineering Fellowship EP/V052489/1, and by the ExaTEPP project EP/X017168/1. The work of JWL was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government(MSIT) (NRF-2018R1C1B3001379) and by IBS under the project code, IBS-R018-D1. The work of BL and MP has been supported in part by the STFC Consolidated Grants No.~ST/P00055X/1 and No. ST/T000813/1. BL and MP received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program under Grant Agreement No.~813942. The work of BL is further supported in part by the Royal Society Wolfson Research Merit Award WM170010 and by the Leverhulme Trust Research Fellowship No. RF-2020-4619. The work of HH is supported by the Taiwanese MoST grant 109-2112-M-009-006-MY3.

The computations have been partially performed on the HPC cluster of the University of Graz and on the Vienna Scientific Cluster (VSC4), and partially on the DiRAC Data Intensive service at Leicester. The DiRAC Data Intensive service at Leicester is operated by the University of Leicester IT Services, and forms part of the STFC DiRAC HPC Facility (www.dirac.ac.uk). The DiRAC Data Intensive service equipment at Leicester was funded by BEIS capital funding via STFC capital grants ST/K000373/1 and ST/R002363/1 and STFC DiRAC Operations grant ST/R001014/1. DiRAC is part of the National e-Infrastructure.
DOI: 10.5281/zenodo.8154506
title: Singlets in gauge theories with fundamental matter - data release

description: This release contains all data and metadata used to prepare the publication Singlets in gauge theories with fundamental matter.
Further details are given in the file README.md.
description: FZ is supported by the Austrian Science Fund research teams grant STRONG-DM (FG1) and acknowledges travel support for part of this work by the city of Graz. The work of EB is supported by the UKRI Science and Technology Facilities Council (STFC) Research Software Engineering Fellowship EP/V052489/1, and by the ExaTEPP project EP/X017168/1. The work of JWL was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government(MSIT) (NRF-2018R1C1B3001379) and by IBS under the project code, IBS-R018-D1. The work of BL and MP has been supported in part by the STFC Consolidated Grants No.~ST/P00055X/1 and No. ST/T000813/1. BL and MP received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program under Grant Agreement No.~813942. The work of BL is further supported in part by the Royal Society Wolfson Research Merit Award WM170010 and by the Leverhulme Trust Research Fellowship No. RF-2020-4619. The work of HH is supported by the Taiwanese MoST grant 109-2112-M-009-006-MY3.

The computations have been partially performed on the HPC cluster of the University of Graz and on the Vienna Scientific Cluster (VSC4), and partially on the DiRAC Data Intensive service at Leicester. The DiRAC Data Intensive service at Leicester is operated by the University of Leicester IT Services, and forms part of the STFC DiRAC HPC Facility (www.dirac.ac.uk). The DiRAC Data Intensive service equipment at Leicester was funded by BEIS capital funding via STFC capital grants ST/K000373/1 and ST/R002363/1 and STFC DiRAC Operations grant ST/R001014/1. DiRAC is part of the National e-Infrastructure.
DOI: 10.5281/zenodo.10352073
title: Data from "Elevation affects both the occurrence of ungulate browsing and its effect on tree seedling growth for four major tree species in European mountain forests"

description: This repository contains the field data used in the paper from Bernard et al. on the interactive effect of elevation and ungulate browsing on tree regeneration. This dataset is associated with a github repository containing the code to run the analyses of the paper, publicly available at https://github.com/jbarrere3/BaccaraPaper
DOI: 10.5281/zenodo.10352072
title: Data from "Elevation affects both the occurrence of ungulate browsing and its effect on tree seedling growth for four major tree species in European mountain forests"

description: This repository contains the field data used in the paper from Bernard et al. on the interactive effect of elevation and ungulate browsing on tree regeneration. This dataset is associated with a github repository containing the code to run the analyses of the paper, publicly available at https://github.com/jbarrere3/BaccaraPaper
DOI: 10.6084/m9.figshare.24786198
title: Supplementary Material for: Twelve-months outcomes after metabolic and bariatric surgery among youths participating in a structured preparation and follow-up program – Results of the Youth with Extreme obesity Study (YES)

description: Introduction: While invasive and associated with risks, metabolic and bariatric surgery (MBS) can promote sustained weight loss and substantial health benefits in youths with extreme obesity.The path toward informed decision making for or against MBS is poorly characterized and postoperative follow-up to assess risks and benefits is inconsistent. In youths with extreme obesity we aimed to evaluate decision making toward MBS, as well as MBS outcomes and adherence with follow-up and recommendations in the setting of a structured pre- and post- MBS.
Methods: Participants were recruited in the setting of the multicenter “Youth with Extreme Obesity Study” (YES). YES is a cohort study in adolescents and young adults aged 14–24 years with obesity (BMI≥30.0 kg/m2) who were recruited at four medical centers and one job center in Germany between 2012 and 2018. Participants at two medical centers with BMI≥35kg/m2, aged 14-24 years, and interested in pursuing MBS were included in the subproject 3 “Safety and effectiveness of weight loss surgery in adolescents with severe obesity within a structured pre- and post-surgery treatment program – an observational study” that comprised a 2-months pre- and 12-months post-MBS program. 
Results: Twenty-eight of 169 youths (17%) with BMI≥35kg/m2 were interested in MBS. Twenty-six fulfilled published eligibility criteria for MBS and participated in the structured pre- MBS preparation program. Of these, 9 participants (2 female) decided against, and 17 (n=11 females) decided for MBS (sleeve gastrectomy). The 12-months follow-up rate was high (16/17 [94%]) and all participants achieved significant weight reduction (ΔBMI:-16.1±5.6 kg/m2). Eleven of 16 participants (69%) reported taking the prescribed dietary supplements in the first year after MBS, but only five of them (31%) did so daily. In contrast to the high 12-month retention rate, follow-up after completion of the structured program was low at 24-months (9/16 [56%]) and at 36-months (5/15 [36%]) respectively. 
Conclusion: Participants demonstrated active decision making for or against MBS and high adherence with the structured pre- and 12 months post- MBS program, but participation was low thereafter. These findings endorse the need for longer-term structured post-MBS programs to capture long-term outcomes and provide adequate care in this vulnerable group at the transition to adulthood.
DOI: 10.6084/m9.figshare.24786198.v1
title: Supplementary Material for: Twelve-months outcomes after metabolic and bariatric surgery among youths participating in a structured preparation and follow-up program – Results of the Youth with Extreme obesity Study (YES)

description: Introduction: While invasive and associated with risks, metabolic and bariatric surgery (MBS) can promote sustained weight loss and substantial health benefits in youths with extreme obesity.The path toward informed decision making for or against MBS is poorly characterized and postoperative follow-up to assess risks and benefits is inconsistent. In youths with extreme obesity we aimed to evaluate decision making toward MBS, as well as MBS outcomes and adherence with follow-up and recommendations in the setting of a structured pre- and post- MBS.
Methods: Participants were recruited in the setting of the multicenter “Youth with Extreme Obesity Study” (YES). YES is a cohort study in adolescents and young adults aged 14–24 years with obesity (BMI≥30.0 kg/m2) who were recruited at four medical centers and one job center in Germany between 2012 and 2018. Participants at two medical centers with BMI≥35kg/m2, aged 14-24 years, and interested in pursuing MBS were included in the subproject 3 “Safety and effectiveness of weight loss surgery in adolescents with severe obesity within a structured pre- and post-surgery treatment program – an observational study” that comprised a 2-months pre- and 12-months post-MBS program. 
Results: Twenty-eight of 169 youths (17%) with BMI≥35kg/m2 were interested in MBS. Twenty-six fulfilled published eligibility criteria for MBS and participated in the structured pre- MBS preparation program. Of these, 9 participants (2 female) decided against, and 17 (n=11 females) decided for MBS (sleeve gastrectomy). The 12-months follow-up rate was high (16/17 [94%]) and all participants achieved significant weight reduction (ΔBMI:-16.1±5.6 kg/m2). Eleven of 16 participants (69%) reported taking the prescribed dietary supplements in the first year after MBS, but only five of them (31%) did so daily. In contrast to the high 12-month retention rate, follow-up after completion of the structured program was low at 24-months (9/16 [56%]) and at 36-months (5/15 [36%]) respectively. 
Conclusion: Participants demonstrated active decision making for or against MBS and high adherence with the structured pre- and 12 months post- MBS program, but participation was low thereafter. These findings endorse the need for longer-term structured post-MBS programs to capture long-term outcomes and provide adequate care in this vulnerable group at the transition to adulthood.
DOI: 10.6084/m9.figshare.24438475.v3
title: replication-package-instrumentation-study.zip

description: Replication package for instrumentation study.
DOI: 10.48677/a17fd8dc-de71-4947-bdf5-d68dddd647d9
title: Kataster Grafik DXF Stichtag 01.04.2021

description: Die Digitale Katastralmappe (DKM) ist der grafische Datenbestand des Katasters im Koordinatensystem der Österreichischen Landesvermessung. Sie wird von den zuständigen Vermessungsämtern katastralgemeindeweise geführt. Die DKM veranschaulicht die Lage der Grundstücke und enthält:
 - die Grenzen der Grundstücke
 - die Grundstücksnummern
 - Nutzungsgrenzen und -symbole
 - die Fest-, Grenz- und Staatsgrenzpunkte mit deren Nummern
 - sonstige Darstellungen
 
 Die Konsistenz der Daten zwischen der DKM und dem Grundbuch wird über einen täglichen Abgleich der Datenbanken sichergestellt.
 
 Stichtag = Erstellungsdatum:
 Die Daten sind zu diesem Tag der aktuellste Datenbestand des BEV.
 Dies ist nicht ident mit dem Aufnahme- bzw. Vermessungsdatum.
DOI: 10.48677/c8854201-0ea2-4d9b-8583-bd946494ac4c
title: Kataster Grafik SHP Stichtag 01.04.2021

description: Die Digitale Katastralmappe (DKM) ist der grafische Datenbestand des Katasters im Koordinatensystem der Österreichischen Landesvermessung. Sie wird von den zuständigen Vermessungsämtern katastralgemeindeweise geführt. Die DKM veranschaulicht die Lage der Grundstücke und enthält:
 - die Grenzen der Grundstücke
 - die Grundstücksnummern
 - Nutzungsgrenzen und -symbole
 - die Fest-, Grenz- und Staatsgrenzpunkte mit deren Nummern
 - sonstige Darstellungen
 
 Die Konsistenz der Daten zwischen der DKM und dem Grundbuch wird über einen täglichen Abgleich der Datenbanken sichergestellt.
 
 Stichtag = Erstellungsdatum:
 Die Daten sind zu diesem Tag der aktuellste Datenbestand des BEV.
 Dies ist nicht ident mit dem Aufnahme- bzw. Vermessungsdatum.
DOI: 10.48677/2447c4db-95fc-4163-9df2-d7cedf16e210
title: Kataster Grafik Grundstücksverzeichnis GPKG Stichtag 01.04.2021

description: Die Digitale Katastralmappe (DKM) ist der grafische Datenbestand des Katasters im Koordinatensystem der Österreichischen Landesvermessung. Sie wird von den zuständigen Vermessungsämtern katastralgemeindeweise geführt. 
 Die DKM veranschaulicht die Lage der Grundstücke und enthält:
 - die Grenzen der Grundstücke
 - die Grundstücksnummern
 - Nutzungsgrenzen und -symbole
 - die Fest-, Grenz- und Staatsgrenzpunkte mit deren Nummern
 - sonstige Darstellungen (Zeichenschlüssel siehe Vermessungsverordnung 1994)
 Die Konsistenz der Daten zwischen der DKM und dem Grundbuch wird über einen täglichen Abgleich der Datenbanken sichergestellt.
 
 Grundstücksverzeichnis
 Das Grundstücksverzeichnis ist der Sachdatenbestand des Katasters und wird katastralgemeindeweise geführt. Es enthält für jedes Grundstück:
 - Katastralgemeindenummer
 - Grundstücksnummer
 - Benützungsart und dazugehörige Nutzung
 - rechtliche Zusatzinformation (wenn vorhanden)
 - Flächen der Nutzung
 - Ertragsmesszahl
 - Geschäftsfallnummer
 - Katastralgemeindenummer der Einlagezahl
 - Einlagezahl
 - sonstige Angaben zur leichteren Kenntlichmachung
 
 Stichtag = Erstellungsdatum:
 Die Daten sind zu diesem Tag der aktuellste Datenbestand des BEV.
 Dies ist nicht ident mit dem Aufnahme- bzw. Vermessungsdatum.
DOI: 10.5281/zenodo.8143160
title: Dataset: Submicron‐ and Nanoplastic Detection at Low Micro‐ to Nanogram Concentrations Using Gold Nanostar‐Based Surface‐Enhanced Raman Scattering (SERS) Substrates

description: ABSTRACT


The presence of submicron- (1 µm – 100 nm) and nanoplastic (< 100 nm) particles within various sample matrices, ranging from marine environments to foods and beverages, has become a topic of increasing interest in recent years. Despite this interest, very few analytical techniques remain that allow for the detection of these small plastic particles in the low concentration ranges that they are anticipated to be present at. Research focused on optimizing surface-enhanced Raman scattering (SERS) to enhance signal obtained in Raman spectroscopy has been shown to have great potential for the detection of plastic particles below conventional resolution limits. In this study, we produce SERS substrates composed of gold nanostars and assess their potential for submicron- and nanoplastic detection. The results show 33 nm polystyrene could be detected down to 1.25 µg/mL while 36 nm poly(ethylene terephthalate) was detected down to 5 µg/mL. These results confirm the promising potential of the gold nanostar-based SERS substrates for nanoplastic detection. Furthermore, combined with findings for 121 nm polypropylene and 126 nm polyethylene particles, they highlight potential differences in analytical performance that depend on the properties of the plastics being studied.
description: This dataset is to accompany the open access manuscript of the same title published at Environmental Science: Nano under the DOI: https://doi.org/10.1039/D3EN00401E. The main findings of this study are outlined in that manuscript. This data is presented as a complimentary proof. Using this data for further work is possible with appropriate attribution (citation of the data repository and manuscript). It is recommended to download and look through the "Read Me" file associated with this dataset for additional details about the generation, organization, and interpretation of the data presented.
DOI: 10.5281/zenodo.8143161
title: Dataset: Submicron‐ and Nanoplastic Detection at Low Micro‐ to Nanogram Concentrations Using Gold Nanostar‐Based Surface‐Enhanced Raman Scattering (SERS) Substrates

description: ABSTRACT


The presence of submicron- (1 µm – 100 nm) and nanoplastic (< 100 nm) particles within various sample matrices, ranging from marine environments to foods and beverages, has become a topic of increasing interest in recent years. Despite this interest, very few analytical techniques remain that allow for the detection of these small plastic particles in the low concentration ranges that they are anticipated to be present at. Research focused on optimizing surface-enhanced Raman scattering (SERS) to enhance signal obtained in Raman spectroscopy has been shown to have great potential for the detection of plastic particles below conventional resolution limits. In this study, we produce SERS substrates composed of gold nanostars and assess their potential for submicron- and nanoplastic detection. The results show 33 nm polystyrene could be detected down to 1.25 µg/mL while 36 nm poly(ethylene terephthalate) was detected down to 5 µg/mL. These results confirm the promising potential of the gold nanostar-based SERS substrates for nanoplastic detection. Furthermore, combined with findings for 121 nm polypropylene and 126 nm polyethylene particles, they highlight potential differences in analytical performance that depend on the properties of the plastics being studied.
description: This dataset is to accompany the open access manuscript of the same title published at Environmental Science: Nano under the DOI: https://doi.org/10.1039/D3EN00401E. The main findings of this study are outlined in that manuscript. This data is presented as a complimentary proof. Using this data for further work is possible with appropriate attribution (citation of the data repository and manuscript). It is recommended to download and look through the "Read Me" file associated with this dataset for additional details about the generation, organization, and interpretation of the data presented.
DOI: 10.5519/qd.ey01dweu
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (823839 records)
DOI: 10.48677/bbe25b67-e0ae-41cc-a3af-99f350af1c9b
title: Kataster Grundstücksverzeichnis CSV Stichtag 01.04.2021

description: Das Grundstücksverzeichnis ist der Sachdatenbestand des Katasters und wird katastralgemeindeweise geführt. Es enthält für jedes Grundstück
- Katastralgemeindenummer
- Grundstücksnummer
- Benützungsart und dazugehörige Nutzung
- rechtliche Zusatzinformation (wenn vorhanden)
- Flächen der Nutzung
- Ertragsmesszahl
- Geschäftsfallnummer
- Katastralgemeindenummer der Einlagezahl
- Einlagezahl
- sonstige Angaben zur leichteren Kenntlichmachung

Stichtag = Erstellungsdatum:
 Die Daten sind zu diesem Tag der aktuellste Datenbestand des BEV.
 Dies ist nicht ident mit dem Aufnahme- bzw. Vermessungsdatum.
DOI: 10.48677/c1046f94-7a0b-4fb8-9f5c-b00f0e16fb18
title: Kataster Grafik DXF Stichtag 01.10.2021

description: Die Digitale Katastralmappe (DKM) ist der grafische Datenbestand des Katasters im Koordinatensystem der Österreichischen Landesvermessung. Sie wird von den zuständigen Vermessungsämtern katastralgemeindeweise geführt. Die DKM veranschaulicht die Lage der Grundstücke und enthält:
- die Grenzen der Grundstücke
- die Grundstücksnummern
- Nutzungsgrenzen und -symbole
- die Fest-, Grenz- und Staatsgrenzpunkte mit deren Nummern
- sonstige Darstellungen
Die Konsistenz der Daten zwischen der DKM und dem Grundbuch wird über einen täglichen Abgleich der Datenbanken sichergestellt.

Stichtag = Erstellungsdatum:
 Die Daten sind zu diesem Tag der aktuellste Datenbestand des BEV.
 Dies ist nicht ident mit dem Aufnahme- bzw. Vermessungsdatum.
DOI: 10.48677/500ffec9-3095-4420-bbb8-ae9384939adb
title: Kataster Grafik SHP Stichtag 01.10.2021

description: Die Digitale Katastralmappe (DKM) ist der grafische Datenbestand des Katasters im Koordinatensystem der Österreichischen Landesvermessung. Sie wird von den zuständigen Vermessungsämtern katastralgemeindeweise geführt. Die DKM veranschaulicht die Lage der Grundstücke und enthält:
- die Grenzen der Grundstücke
- die Grundstücksnummern
- Nutzungsgrenzen und -symbole
- die Fest-, Grenz- und Staatsgrenzpunkte mit deren Nummern
- sonstige Darstellungen
Die Konsistenz der Daten zwischen der DKM und dem Grundbuch wird über einen täglichen Abgleich der Datenbanken sichergestellt.

Stichtag = Erstellungsdatum:
 Die Daten sind zu diesem Tag der aktuellste Datenbestand des BEV.
 Dies ist nicht ident mit dem Aufnahme- bzw. Vermessungsdatum.
DOI: 10.57745/edj8ni
title: SlicesY_Omega_graft_T24.tif

description: X-ray Stack of omega graft after 24h in iohexol (T24)
DOI: 10.57745/0edl4s
title: SlicesY_Omega_graft_T0.tif

description: X-ray Stack of omega graft T0 (befor iohexol)
DOI: 10.57745/9mxbn7
title: unireconstruction graft_root.xml

description: :unav
DOI: 10.57745/yfx3aq
title: unireconstruction omega_graft_T0.xml

description: :unav
DOI: 10.57745/fdjaht
title: unireconstruction omega_graft_T24.xml

description: :unav
DOI: 10.57745/kxyghe
title: SlicesY_Graft_Root.tif

description: X-ray Stack of natural graft root grapevine