cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7695173
title: Micelle size screening - eYqjD simulation - 50 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.5281/zenodo.7696644
title: Micelle size screening - yFis1 simulation - 50 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.5281/zenodo.7696643
title: Micelle size screening - yFis1 simulation - 50 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.18112/openneuro.ds004554.v1.0.4
title: Forced Picture Naming Task
DOI: 10.5281/zenodo.7782304
title: Micelle size screening - eElaB tail anchor dimer simulation - 40 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data with dimers of a given peptide.
DOI: 10.5281/zenodo.7782303
title: Micelle size screening - eElaB tail anchor dimer simulation - 40 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data with dimers of a given peptide.
DOI: 10.5281/zenodo.7871116
title: Chclim25 - bioclimatic variables (biovars)

description: Bioclimatic variables are calculated from CHclim25 minimum (Tmin) and maximum temperature (Tmax) and sum of precipitation (Prec) using function biovars in the R package dismo. Individual years, current average (1981-2010) and future average (2020-2049, 2045-2074, and 2070-2099)<strong> </strong>layers can be downloaded from separate zip files. Future layers are based on the transient daily time series of gridded climate scenarios of temperature at 0.02°D (~2.2 km) provided by the CH2018 initiative. We calculated future climatic layers for 4 GCMs (HADGEM, ECEARTH, MPIESM, and IPSL), 3 time slices (2020-2049, 2045-2074, and 2070-2099) and 3 representative concentration pathways (RCP 2.6, 4.5 and 8.5) The layer files are stored in compressed GeoTIFF format with the “deflate” algorithm with option “predictor2” from the GDAL. This format has a high compression ratio but allows direct import in most GIS softwares. All the maps are projected in the Swiss coordinate system CH 1903+ LV95 (epsg:2056) with a resolution of 25x25m using the extent of the digital height model DHM25 of the Swiss office for topography (swisstopo).
DOI: 10.5281/zenodo.7871115
title: Chclim25 - bioclimatic variables (biovars)

description: Bioclimatic variables are calculated from CHclim25 minimum (Tmin) and maximum temperature (Tmax) and sum of precipitation (Prec) using function biovars in the R package dismo. Individual years, current average (1981-2010) and future average (2020-2049, 2045-2074, and 2070-2099)<strong> </strong>layers can be downloaded from separate zip files. Future layers are based on the transient daily time series of gridded climate scenarios of temperature at 0.02°D (~2.2 km) provided by the CH2018 initiative. We calculated future climatic layers for 4 GCMs (HADGEM, ECEARTH, MPIESM, and IPSL), 3 time slices (2020-2049, 2045-2074, and 2070-2099) and 3 representative concentration pathways (RCP 2.6, 4.5 and 8.5) The layer files are stored in compressed GeoTIFF format with the “deflate” algorithm with option “predictor2” from the GDAL. This format has a high compression ratio but allows direct import in most GIS softwares. All the maps are projected in the Swiss coordinate system CH 1903+ LV95 (epsg:2056) with a resolution of 25x25m using the extent of the digital height model DHM25 of the Swiss office for topography (swisstopo).
DOI: 10.48425/29rlgt78
title: V_snow_melt_date_logger

description: Snow melt is extracted from temperature logger data as the first day the a year with a daily mean temperature above 1.1 °C.
DOI: 10.14473/csda/ckdhj3
title: Gender-based violence and institutional responses: Building a knowledge base and operational tools to make universities and research organisations safe (UniSAFE) – survey at the national level. Dataset related to the national laws and policies and RFO policies – 2021

description: UniSAFE (https://unisafe-gbv.eu/) is a Horizon 2020 funded project on gender-based violence in academia. It has a double objective, to produce robust knowledge on gender-based violence (GBV) in universities and research organisations, and to translate the knowledge into operational tools and recommendations for universities, research organisations and policymakers to reduce GBV. The project studies the prevalence and impacts of GBV, organisational responses and instruments and legal and policy frameworks. This dataset has been created as part of the study of the legal and policy frameworks and is comprised of data from a survey into national laws and policies. The survey has been constructed to capture elementary information about the debates and the existence of national and/or regional legislation, policies, strategies, and various other activities related to GBV in universities and research organisations and adopted by national/regional RFOs. In addition, the survey included items related to the debates surrounding the #MeToo movement (or other similar/related movement if relevant) and the ratification of the Istanbul Convention.
DOI: 10.14473/csda/ranmra
title: Gender-based violence and institutional responses: Building a knowledge base and operational tools to make universities and research organisations safe (UniSAFE) – survey at the national level. Dataset related to the mapping at the national level of gender based violence policies in universities and research organisations – 2021

description: UniSAFE (https://unisafe-gbv.eu/) is a Horizon 2020 funded project on gender-based violence in academia. It has a double objective, to produce robust knowledge on gender-based violence (GBV) in universities and research organisations, and to translate the knowledge into operational tools and recommendations for universities, research organisations and policymakers to reduce GBV. The project studies the prevalence and impacts of GBV, organisational responses and instruments and legal and policy frameworks. This dataset has been created as part of the study of the legal and policy frameworks and is comprised of data from a survey into national laws and policies. The survey has been constructed to capture elementary information about the debates and the existence of national and/or regional legislation, policies, strategies, and various other activities related to GBV in universities and research organisations and adopted by national/regional RFOs. In addition, the survey included items related to the debates surrounding the #MeToo movement (or other similar/related movement if relevant) and the ratification of the Istanbul Convention.
DOI: 10.5281/zenodo.7696648
title: Micelle size screening - hMff simulation - 40 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.5281/zenodo.7696647
title: Micelle size screening - hMff simulation - 40 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.5281/zenodo.7728323
title: Micelle size screening - hMff simulation - 45 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.5281/zenodo.7728322
title: Micelle size screening - hMff simulation - 45 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.5281/zenodo.7728328
title: Micelle size screening - hMff simulation - 50 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.5281/zenodo.7728329
title: Micelle size screening - hMff simulation - 50 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.5281/zenodo.7733867
title: Micelle size screening - hMff tail anchor simulation - 60 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.5281/zenodo.7733866
title: Micelle size screening - hMff tail anchor simulation - 60 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.5281/zenodo.7736350
title: Micelle size screening - Gwalp tail anchor simulation - 40 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.5281/zenodo.7736349
title: Micelle size screening - Gwalp tail anchor simulation - 40 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.5281/zenodo.7736358
title: Micelle size screening - Gwalp tail anchor simulation - 45 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.5281/zenodo.7736357
title: Micelle size screening - Gwalp tail anchor simulation - 45 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.5281/zenodo.7736372
title: Micelle size screening - Gwalp tail anchor simulation - 50 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.5281/zenodo.7736371
title: Micelle size screening - Gwalp tail anchor simulation - 50 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data.
DOI: 10.5281/zenodo.7837410
title: GNSS data of ambient vibrations and artificial excitations of the Aaresteg bridge.

description: GNSS Data: - Instrument: Java GrAnt-G3T antenna and Septentrio PolaRx receiver - sampling rate: 20 Hz - Bandwidth of loop filter: auto adjust - Date: 2021-09-27 Location: Instrument was set up on the eastern railing of the Aaresteg bridge, 1.125 m height above the wooden planks. The bridge was excited by jumping, twisting, running, walking, impulse hammering and combinations thereof.
DOI: 10.5281/zenodo.7837409
title: GNSS data of ambient vibrations and artificial excitations of the Aaresteg bridge.

description: GNSS Data: - Instrument: Java GrAnt-G3T antenna and Septentrio PolaRx receiver - sampling rate: 20 Hz - Bandwidth of loop filter: auto adjust - Date: 2021-09-27 Location: Instrument was set up on the eastern railing of the Aaresteg bridge, 1.125 m height above the wooden planks. The bridge was excited by jumping, twisting, running, walking, impulse hammering and combinations thereof.
DOI: 10.5281/zenodo.7773896
title: Micelle size screening - Gwalp tail anchor dimer simulation - 50 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data with dimers of a given peptide.
DOI: 10.5281/zenodo.7773895
title: Micelle size screening - Gwalp tail anchor dimer simulation - 50 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data with dimers of a given peptide.
DOI: 10.5281/zenodo.7774646
title: Micelle size screening - Gwalp tail anchor dimer simulation - 40 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data with dimers of a given peptide.
DOI: 10.5281/zenodo.7774645
title: Micelle size screening - Gwalp tail anchor dimer simulation - 40 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data with dimers of a given peptide.
DOI: 10.5281/zenodo.7782287
title: Micelle size screening - Gwalp tail anchor dimer simulation - 70 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data with dimers of a given peptide.
DOI: 10.5281/zenodo.7782286
title: Micelle size screening - Gwalp tail anchor dimer simulation - 70 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data with dimers of a given peptide.
DOI: 10.5281/zenodo.7784246
title: Micelle size screening - eElaB tail anchor dimer simulation - 50 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data with dimers of a given peptide.
DOI: 10.5281/zenodo.7784245
title: Micelle size screening - eElaB tail anchor dimer simulation - 50 SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data with dimers of a given peptide.
DOI: 10.5281/zenodo.7782672
title: Micelle size screening - yFis1 tail anchor dimer simulation - 50SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data with dimers of a given peptide.
DOI: 10.5281/zenodo.7782671
title: Micelle size screening - yFis1 tail anchor dimer simulation - 50SDS - Na neutralized - CHARMM36m - 310K - OPC water model

description: Micelle size screening by varying the amount of SDS to investigate the influence on spin relaxation data with dimers of a given peptide.
DOI: 10.5281/zenodo.7784639
title: Bicelle size and lipid/surfactant ratio screening - Gwalp tail anchor monomer simulation - 60 Lipids - q0.42 - PBS neutralized - CHARMM36m - 310K - OPC water model

description: Bicelle size and lipid to surfactant ratio screening to investigate the influence on spin relaxation data with monomers of a given peptide. Reduced saved frequency could not be generated and no-water was directly generated by hand and added here.
DOI: 10.5281/zenodo.7784638
title: Bicelle size and lipid/surfactant ratio screening - Gwalp tail anchor monomer simulation - 60 Lipids - q0.42 - PBS neutralized - CHARMM36m - 310K - OPC water model

description: Bicelle size and lipid to surfactant ratio screening to investigate the influence on spin relaxation data with monomers of a given peptide. Reduced saved frequency could not be generated and no-water was directly generated by hand and added here.
DOI: 10.5281/zenodo.7784294
title: Bicelle size and lipid/surfactant ratio screening - Gwalp tail anchor monomer simulation - 60 Lipids - q0.38 - PBS neutralized - CHARMM36m - 310K - OPC water model

description: Bicelle size and lipid to surfactant ratio screening to investigate the influence on spin relaxation data with monomers of a given peptide.
DOI: 10.5281/zenodo.7784293
title: Bicelle size and lipid/surfactant ratio screening - Gwalp tail anchor monomer simulation - 60 Lipids - q0.38 - PBS neutralized - CHARMM36m - 310K - OPC water model

description: Bicelle size and lipid to surfactant ratio screening to investigate the influence on spin relaxation data with monomers of a given peptide.
DOI: 10.5281/zenodo.7784685
title: Bicelle size and lipid/surfactant ratio screening - Gwalp tail anchor monomer simulation - 120 Lipids - q0.33 - PBS neutralized - CHARMM36m - 310K - OPC water model

description: Bicelle size and lipid to surfactant ratio screening to investigate the influence on spin relaxation data with monomers of a given peptide.
DOI: 10.5281/zenodo.7784684
title: Bicelle size and lipid/surfactant ratio screening - Gwalp tail anchor monomer simulation - 120 Lipids - q0.33 - PBS neutralized - CHARMM36m - 310K - OPC water model

description: Bicelle size and lipid to surfactant ratio screening to investigate the influence on spin relaxation data with monomers of a given peptide.
DOI: 10.5281/zenodo.7784692
title: Bicelle size and lipid/surfactant ratio screening - Gwalp tail anchor monomer simulation - 120 Lipids - q0.38 - PBS neutralized - CHARMM36m - 310K - OPC water model

description: Bicelle size and lipid to surfactant ratio screening to investigate the influence on spin relaxation data with monomers of a given peptide.
DOI: 10.5281/zenodo.7784691
title: Bicelle size and lipid/surfactant ratio screening - Gwalp tail anchor monomer simulation - 120 Lipids - q0.38 - PBS neutralized - CHARMM36m - 310K - OPC water model

description: Bicelle size and lipid to surfactant ratio screening to investigate the influence on spin relaxation data with monomers of a given peptide.
DOI: 10.5281/zenodo.7784696
title: Bicelle size and lipid/surfactant ratio screening - Gwalp tail anchor monomer simulation - 80 Lipids - q0.38 - PBS neutralized - CHARMM36m - 310K - OPC water model

description: Bicelle size and lipid to surfactant ratio screening to investigate the influence on spin relaxation data with monomers of a given peptide.
DOI: 10.5281/zenodo.7784695
title: Bicelle size and lipid/surfactant ratio screening - Gwalp tail anchor monomer simulation - 80 Lipids - q0.38 - PBS neutralized - CHARMM36m - 310K - OPC water model

description: Bicelle size and lipid to surfactant ratio screening to investigate the influence on spin relaxation data with monomers of a given peptide.
DOI: 10.5281/zenodo.7784709
title: Bicelle size and lipid/surfactant ratio screening - Magaining 2 tail anchor monomer simulation - 60 Lipids - q0.38 - PBS neutralized - CHARMM36m - 310K - OPC water model

description: Bicelle size and lipid to surfactant ratio screening to investigate the influence on spin relaxation data with monomers of a given peptide.
DOI: 10.5281/zenodo.7784708
title: Bicelle size and lipid/surfactant ratio screening - Magaining 2 tail anchor monomer simulation - 60 Lipids - q0.38 - PBS neutralized - CHARMM36m - 310K - OPC water model

description: Bicelle size and lipid to surfactant ratio screening to investigate the influence on spin relaxation data with monomers of a given peptide.
DOI: 10.5281/zenodo.7784717
title: Bicelle size and lipid/surfactant ratio screening - Magaining 2 tail anchor monomer simulation - 120 Lipids - q0.38 - PBS neutralized - CHARMM36m - 310K - OPC water model

description: Bicelle size and lipid to surfactant ratio screening to investigate the influence on spin relaxation data with monomers of a given peptide.
DOI: 10.5281/zenodo.7784716
title: Bicelle size and lipid/surfactant ratio screening - Magaining 2 tail anchor monomer simulation - 120 Lipids - q0.38 - PBS neutralized - CHARMM36m - 310K - OPC water model

description: Bicelle size and lipid to surfactant ratio screening to investigate the influence on spin relaxation data with monomers of a given peptide.
DOI: 10.6084/m9.figshare.22682377
title: Bio-optical properties of South Brazil Bight coastal waters and implications for satellite chlorophyll-<i>a</i> concentration retrieval

description: Retrieving chlorophyll-a concentration (Chla) from remote-sensing data is especially challenging in coastal regions because of the presence of other co-dominant optically significant constituents (OSCs). In this study, we characterize bio-optical variability at a fixed coastal time series station in the South Brazil Bight (SBB), the ANTARES-Ubatuba site (São Paulo, Brazil) from radiometric measurements and water sample analyses, and evaluate the performance of ocean colour (OC) algorithms for Chla retrieval. In situ Chla and the spectral absorption of phytoplankton (a<sub>ph</sub>), detritus, and coloured dissolved organic matter (CDOM), as well as the above-water remote-sensing reflectance (R<sub>rs</sub>) were obtained from 2004 to 2019 at a quasi-monthly sampling frequency. Chla exhibited high variability, with a standard deviation twice as large as the mean (1.0 ± 1.83 mg m<sup>−3</sup>), and values ranging from 0.18 mg m<sup>−3</sup> up to 18.09 mg m<sup>−3</sup> during episodic bloom events. CDOM was the dominant OSC contributing to the absorption coefficient at 443 nm all-year round, suggesting the influence of continental sources, even though the station is located at the external limit of the inner shelf (40 m). Two optical water types were defined: one composed mainly of ‘blue’ waters with lower concentrations of the OSCs and another of ‘green’ waters with higher concentrations of OSCs. Despite the CDOM spectral dominance, the empirical OCx performed reasonably well with a positive bias for both in situ (17–25%) and satellite (25–31%) Chla retrievals. The performance was slightly better using the 3-band OC3 algorithm by selecting the best band ratio with lower influence of CDM (CDOM + detritus) absorption (R<sub>rs</sub> (490/555)). The main sources of uncertainty were caused by higher CDM proportions and phytoplankton-specific absorption, yielding positive biases on the OC3 retrievals. The results suggest that standard satellite products of Chla can be used (with some caution) to monitor and study the dynamics of the phytoplankton biomass within the region, knowing the expected uncertainties.