cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26037/yareta:fboukeeowjf5bd4ipvaembocse
title: Landsat 5 Surface Reflectance Analysis Ready Data 1992

description: Data for 1992
This dataset is the Landsat 5 Surface Reflectance Analysis Ready Data (ARD) collection archive for Switzerland, generated by USGS (https://www.usgs.gov/land-resources/nli/landsat/landsat-surface-reflectance).

Detailed description about the Landsat 5 mission can be found in the CEOS Earth Observation Handbook: http://database.eohandbook.com/database/missionsummary.aspx?missionID=226.

The Landsat archive is extremely interesting because this is the longest EO program, initiated in 1972, it has provided continual and consistent observations for almost 50 years. Since 2008, the complete data archive has been provided under a free and open access policy. This has enabled dense time-series analysis, moving beyond simple diachronic comparison of a set of images, therefore dramatically improving capabilities to monitor environmental changes. To cover the whole of Switzerland, it requires eight Landsat 5 scenes (Path/Row: 193/027, 194/027, 195/027, 196/027, 193/028, 194/028, 195/028, 196/028) representing an area of latitude 44.9 to 48.7 and longitude 4.1 to 12.8. Data are downloaded as Collection 1/Tier 1 – Level 2 Surface Reflectance encompassing a surface of approximately 185km by 180km. Collection 1/Tier 1 scenes are data with the highest available data quality (e.g., geometric and radiometric corrections) and considered suitable for time-series analysis (https://www.usgs.gov/land-resources/nli/landsat/landsat-collection-1). Level 2 corresponds to surface reflectance (i.e., the estimate based on Landsat sensor observations of the fraction of incoming solar radiation reflected from Earth’s surface). These data are corrected for atmospheric perturbations (e.g., aerosol scattering, thin clouds) enabling direct comparison between multiple images and dates. This corresponds to the ARD level.

Landsat data are provided by USGS with Quality Assessment (QA) information to help users to determine their suitability for specific applications. An 8-bit LandsatLook Quality Image and 16-bit Quality Assessment Band40 are also included. Details on each file are described at: https://www.usgs.gov/land-resources/nli/landsat/landsat-collection-1-level-1-quality-assessment-band. Level 2 products are generated by the USGS from level 1 product and using the official LEDAPS/LASRC algorithm. "A Pixel Quality Assurance (pixel_qa) band is provided with all Landsat Surface Reflectance-derived Spectral Indices. The band is in unsigned 16-bit format, values are bit-packed and provide information pertaining to a pixel condition of fill, clear, water, cloud shadow, snow, cloud (yes/no), cloud confidence and cirrus cloud confidence (Landsat 8 only)" https://www.usgs.gov/land-resources/nli/landsat/landsat-sr-derived-spectral-indices-pixel-quality-band.
DOI: 10.26037/yareta:il3bm26pr5acxohv7irukwqhma
title: Landsat 5 Surface Reflectance Analysis Ready Data 1991

description: Data for 1991
This dataset is the Landsat 5 Surface Reflectance Analysis Ready Data (ARD) collection archive for Switzerland, generated by USGS (https://www.usgs.gov/land-resources/nli/landsat/landsat-surface-reflectance).

Detailed description about the Landsat 5 mission can be found in the CEOS Earth Observation Handbook: http://database.eohandbook.com/database/missionsummary.aspx?missionID=226.

The Landsat archive is extremely interesting because this is the longest EO program, initiated in 1972, it has provided continual and consistent observations for almost 50 years. Since 2008, the complete data archive has been provided under a free and open access policy. This has enabled dense time-series analysis, moving beyond simple diachronic comparison of a set of images, therefore dramatically improving capabilities to monitor environmental changes. To cover the whole of Switzerland, it requires eight Landsat 5 scenes (Path/Row: 193/027, 194/027, 195/027, 196/027, 193/028, 194/028, 195/028, 196/028) representing an area of latitude 44.9 to 48.7 and longitude 4.1 to 12.8. Data are downloaded as Collection 1/Tier 1 – Level 2 Surface Reflectance encompassing a surface of approximately 185km by 180km. Collection 1/Tier 1 scenes are data with the highest available data quality (e.g., geometric and radiometric corrections) and considered suitable for time-series analysis (https://www.usgs.gov/land-resources/nli/landsat/landsat-collection-1). Level 2 corresponds to surface reflectance (i.e., the estimate based on Landsat sensor observations of the fraction of incoming solar radiation reflected from Earth’s surface). These data are corrected for atmospheric perturbations (e.g., aerosol scattering, thin clouds) enabling direct comparison between multiple images and dates. This corresponds to the ARD level.

Landsat data are provided by USGS with Quality Assessment (QA) information to help users to determine their suitability for specific applications. An 8-bit LandsatLook Quality Image and 16-bit Quality Assessment Band40 are also included. Details on each file are described at: https://www.usgs.gov/land-resources/nli/landsat/landsat-collection-1-level-1-quality-assessment-band. Level 2 products are generated by the USGS from level 1 product and using the official LEDAPS/LASRC algorithm. "A Pixel Quality Assurance (pixel_qa) band is provided with all Landsat Surface Reflectance-derived Spectral Indices. The band is in unsigned 16-bit format, values are bit-packed and provide information pertaining to a pixel condition of fill, clear, water, cloud shadow, snow, cloud (yes/no), cloud confidence and cirrus cloud confidence (Landsat 8 only)" https://www.usgs.gov/land-resources/nli/landsat/landsat-sr-derived-spectral-indices-pixel-quality-band.
DOI: 10.26037/yareta:j7grynsytvhs5jrtghx6dkk5jy
title: The Effect of Valenced Odors on Resting State Data

description: Dataset for the Cortex article, "Sustained Effects of Pleasant and Unpleasant Smells on Resting State Brain Activity"
DOI: 10.26037/yareta:kfcpzxyjx5bcfbahnw2svyshse
title: Psychotic experiences in daily-life in adolescents and young adults with 22q11.2 deletion syndrome: an Ecological Momentary Assessment study

description: Objectives: 22q11.2 deletion syndrome (22q11DS) is a genetic condition associated with a markedly increased risk for psychosis. Psychotic experiences (PE) are classically evaluated by clinical interviews that give little information about the fluctuation of these symptoms in daily-life. Therefore, the current study aims to investigate these phenomena using the Ecological Momentary Assessment (EMA), a structured diary technique that collects real-life measures in the everyday-life context, and to examine how these manifestations relate to a goal standard semi-structured assessment of PE. 
Method: Eighty-six adolescents and young adults with 22q11DS as well as healthy controls (HC) aged 12-27 were recruited. All participants completed a 6-day ESM protocol assessing momentary psychotic experiences as well as their current mood (measured by positive and negative affects). The presence of (attenuated) psychotic symptoms was assessed in the 22q11DS group with a clinical interview (SIPS).
Results: Our main findings indicate that participants with 22q11DS reported more intense and more frequent momentary PE than HC and similar associations between affects (both PA and NA) and momentary PE. In participants with 22q11DS, more intense and more frequent momentary PE measured by EMA were associated with the severity of SIPS positive symptoms. Finally, participants with 22q11DS reporting at least attenuated positive symptoms of psychosis on the SIPS had more frequent and more intense momentary PE than participants with 22q11DS without psychotic symptoms.
Conclusions: Altogether, this study highlights the validity of EMA to assess PE and broadens previous findings about mood and PE associations.
DOI: 10.26037/yareta:urxnyfecjnai3d2ec3w3zes65u
title: Sentinel-2 Surface Reflectance Analysis Ready Data 2019-Q4

description: Data for 2019-Q4
This dataset is the Sentinel-2 Surface Reflectance Analysis Ready Data (ARD) archive for Switzerland, generated sen2cor 2.5 (http://step.esa.int/main/third-party-plugins-2/sen2cor/).

Detailed description about the Sentinel-2 A & B missions can be found in the CEOS Earth Observation Handbook:
http://database.eohandbook.com/database/missionsummary.aspx?missionID=552 
http://database.eohandbook.com/database/missionsummary.aspx?missionID=553 

Sentinel-2 (S2) is a constellation of two sun-synchronous satellites operated by ESA respectively from 2015 to 2022 (Sentinel-2A) and 2017-2024 (Sentinel-2B). Switzerland is covered by twelve Sentinel-2 scenes (ID: 31TGM, 31TGN, 32TLR, 32TLS, 32TLT, 32TMR, 32TMS, 32TMT, 32TNS, 32TNT, 32TPS, 32TPT). This corresponds to a spatial extent of latitude 45.0 to 47.9N, longitude 5.5 to 11.8E. Data are downloaded as L1C products corresponding to 100x100km2 geometrically corrected Top Of the Atmosphere (TOA) tiles.It supports land monitoring related services, including generation of generic land cover maps, risk mapping and fast images for disaster relief, generation of leaf coverage leaf chlorophyll content and leaf water content42,43. Both satellites carry the MultiSpectral Instrument (MSI).

Sentinel-2 processed to level 2A with Sen2Cor comes with a scene classification (similar to the pixel_qa band provided by USGS for Landsat data) with 12 classes as described at: https://earth.esa.int/web/sentinel/technical-guides/sentinel-2-msi/level-2a/algorithm. It helps identifying pixels that are saturated or defective as well as cloud and cloud shadows that may affect the quality of the images. In addition, ESA provides a monthly status of the quality of Sentinel-2 data through Data Quality Reports (DQR). These reports document geometric and radiometric performances against initial sensor specifications together with observed anomalies and issues. DQR are available at: https://sentinels.copernicus.eu/web/sentinel/data-product-quality-reports.
DOI: 10.26037/yareta:24n3gmafrnectkaomqq3kmmkie
title: Characterizing daily-life social interactions in adolescents and young adults with neurodevelopmental disorders: a comparison between individuals with Autism Spectrum Disoders and 22q11.2 deletion syndrome 

description: Social impairments are common features of several neurodevelopmental conditions, including 22q11.2 deletion syndrome (22q11DS) and autism spectrum disorders (ASD). However, little is known about social interactions in daily-life. The Ecological Momentary Assessment (EMA) was used to have access to daily-life information and to distinguish the phenomenology of social interactions between the two conditions, often considered as presenting a similar profile of social impairments. 
32 individuals with 22q11DS, 26 individuals with ASD and 44 healthy controls (HC) aged 12-30 were recruited. All participants were assessed during 6 days 8 times a day using a mobile app. The EMA protocol assessed positive (PA) and negative (NA) affect, social context (alone versus in company) and the subjective experience of aloneness and social interactions.
Participants with 22q11DS and ASD did not spend more time alone, but spent less time with familiar individuals such as friends, and more time with people they live with, compared to HC. However, distinct profiles emerged between the two conditions regarding the subjective experience of aloneness, with more intense feelings of exclusion in participants with ASD compared to participants with 22q11DS and HC. The subjective appreciation of interactions revealed that individuals with ASD felt more judged and more nervous than both 22q11DS and HC. Nevertheless, both conditions expressed a higher desire to be alone when in company of other people than HC. 
This study highlights distinct social functioning profiles in daily-life in 22q11DS and ASD, giving new intel regarding the social phenotype in these conditions, and pointing towards different therapeutic targets.
DOI: 10.26037/yareta:3mbcwbt77nakdgbyfkclgxzqvi
title: Gkountidi_Garnier_CancerImmunolResearch_2021

description: raw data
DOI: 10.26037/yareta:4c2xzq5agvds3k4qinscecj57y
title: Falk_et_al_Task_Choice_Shields

description: Data and data coding of the experiment reported in :

Johanna R. Falk, Guido H. E. Gendolla, Peter M. Gollwitzer, & Gabriel Oettingen

Task Choice Shields against Incidental Affective Influences on Effort-Related Cardiovascular Response
DOI: 10.26037/yareta:77te4fktsfdc7noucy5whgzpea
title: Dataset Holographic imaging of the complex charge density wave order parameter

description: Dataset and figures for the article Phys. Rev. Research 1, 033114 (2019); DOI 10.1103/PhysRevResearch.1.033114

The article is also available at:
https://archive-ouverte.unige.ch/unige:126554
DOI: 10.26037/yareta:ll6hei2zbzbqveaqhli4pcyqgi
title: Excited-State Symmetry Breaking and the Laporte rule

description: Data presented in the article 'Excited-State Symmetry Breaking and the Laporte rule' by Z. Szakacs and E. Vauthey, J. Phys. Chem. Lett. (2021), 12,
 https://doi.org/10.1021/acs.jpclett.1c00893
DOI: 10.26037/yareta:oijq3aigebfctoioe3mgs2s4am
title: Harlé et al., JEM 2021

description: raw data
DOI: 10.26037/yareta:oz4jlopcwnen5ndnsfpojaqjqa
title: Open Data to “Pressure-induced structural transitions triggering dimensional crossover in lithium purple bronze Li0:9Mo6O17”

description: Data set corresponding to a published paper  
Journal:  Phys. Rev. B 103, 235124 (2021)
DOI: 10.1103/PhysRevB.103.235124
DOI: 10.26037/yareta:q2ygv6oucrbftk6ytkx2ejtlba
title: Dataset Insight into the charge density wave gap from contrast inversion in topographic STM images

description: Dataset and figures for the article Physical Review Letters, 2020. 125(26): p. 267603

The article is also available at:
https://archive-ouverte.unige.ch/unige:147188
DOI: 10.26037/yareta:uoeloimkhjablexe6a2roh55xq
title: STLBM Data

description: This deposit contains simulation output data and detailed performance measurements of the STLBM software, as well as copies of available reference data. It serves as a support to guarantee the reproducibility of journal publications based on STLBM. STLBM is free and open-source and can be obtained at https://gitlab.com/UniGeHPFS/stlbm
DOI: 10.26037/yareta:vvcvsber2jem7os6xnfk6dcjty
title: SNF2019 project (310030_182788/6)

description: "Integrative, transposon-based vectors in ocular gene therapy - safety improvement and
in-process quality control"
DOI: 10.26037/yareta:xohh6yvjwbg5rkwb5m7mq6ll5u
title: data_Dominguez_etal_Frontiers

description: data used for the analysis presented in the article
DOI: 10.26037/yareta:xt74kr35jrcgblxomojxsmnd3y
title: Dataset of Enabling Cyclization Strategies through Carbonyl Ylide Mediated Synthesis of Malonate Enol Ethers

description: Malonate enol ethers are afforded in one step by condensation of cyclic ketones with α-diazomalonates under [CpRu(CH3CN)3][BArF] catalysis. Thanks to the dual reactivity of these 2-vinyloxymalonates, a range of orthogonal cyclizations is enabled that extends remarkably the scope of annulations from carbonyl ylide intermediates.
DOI: 10.26037/yareta:y2dbjsabrvd3fmgptygjcsdgc4
title: Diurnal cortisol profiles and exposure to stress in adolescents and young adults with 22q11.2 deletion syndrome

description: Original dataset
DOI: 10.15468/dl.bf2yyd
title: Occurrence Download

description: A dataset containing 379002 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is one of (Aponogeton distachyos, Arthurdendyus triangulatus, Cabomba caroliniana, Callosciurus finlaysonii, Cherax destructor, Corvus splendens, Crassula helmsii, Elodea densa, Eriocheir sinensis, Erythranthe guttata, Faxonius immunis, Faxonius juvenilis, Faxonius rusticus, Faxonius virilis, Gambusia affinis, Heracleum mantegazzianum, Heracleum persicum, Heracleum pubescens, Houttuynia cordata, , Impatiens glandulifera, Koenigia polystachya, Lagarosiphon major, Lepomis gibbosus, Limnoperna fortunei, Ludwigia grandiflora, Ludwigia peploides, Lysichiton americanus, Morone americana, Muntiacus reevesi, Myriophyllum aquaticum, Myriophyllum heterophyllum, Pacifastacus leniusculus, Petasites japonicus, Pontederia cordata, Procambarus acutus, Procambarus clarkii, Procambarus virginalis, Pseudorasbora parva, Pycnonotus cafer, Saururus cernuus, Sciurus carolinensis, Sciurus niger, Solenopsis invicta, Solenopsis richteri, Threskiornis aethiopicus, Vespa velutina, Zizania latifolia)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 379002 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004739-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26037/yareta:5pdsn2n5yzesjn6xjda4w7keby
title: Swiss service sector cooling demand projections

description: Estimates and projections for cooling demand in different subsectors of the Swiss service sector for 2015 and three climate scenarios for 2050 (RCP2.6, 4.5, 8.5). The values are summarised on a raster grid of 400m x 400m pixels.
DOI: 10.26037/yareta:ccxzzk2ojzbejc42nsn5c3yhfe
title: Energy efficiency investment cost curve for envelope measures in residential building stock (SwissRes model)

description:  2016 final energy savings, total investment costs, space heating demand and energy reference area by age, building type, typology and canton (from SwissRes model). This version includes the ERA calculated in Schluck (2019) and it includes the environmental heat in the final energy
DOI: 10.26037/yareta:d5unipemxjahvno53oyla4flqu
title: Management of residents in difficulty in a Swiss general internal medicine outpatient clinic: changes are needed!

description: "Aims of the study: Residents in difficulty are a major concern in medical education, with a prevalence of 7-15%. They are often detected late in their training and cannot beneficiate from remediation plans. Nowadays, most training hospitals in Switzerland do not have specific processes to identify and manage residents in difficulty. The aim of the study was to explore the challenges perceived by physicians regarding the process of identifying, diagnosing and supporting residents in difficulty in a structured and programmatic way. We explored perceptions of physicians at different hierarchical levels (residents (R), senior residents (SR), attending physicians (A), Chief Physician (CP)) in order to better understand these challenges." (Lanier et al, 2021)
DOI: 10.26037/yareta:ghbmndkonvd6fmsvqnvyynjnpu
title: Dataset - High resolution Optical Projection Tomography platform for multispectral imaging of the mouse gut

description: Setup design, microbeads projections and FBP reconstruction code relying to the 'High resolution Optical Projection Tomography platform for multispectral imaging of the mouse gut' paper.
DOI: 10.26037/yareta:h7f5kymcnzco5l3xttmfooxwya
title: FNS SPARK - Open Education for Research Methodology Teaching across the Mediterranean

description: Dataset of the research project Open Education for Research Methodology Teaching across the Mediterranean, http://p3.snf.ch/project-190634
DOI: 10.26037/yareta:itrs3envdzapdlh77lyy5dusyq
title: Influence matrix approach to Floquet dynamics

description: In this deposit, data relevant to the paper "Influence matrix approach to many-body Floquet dynamics" which will be published in Physical Review X, are provided
DOI: 10.26037/yareta:noxmqsspnzcxbkm5f2kgajo3vy
title: 2021-04-08 Machine learning applied to X-ray tomography as a new tool to analyze the voids in RRP Nb3Sn wires (Bagni)

description: The electro-mechanical and electro-thermal properties of high-performance Restacked-Rod-Process (RRP) Nb3Sn wires are key factors in the realization of compact magnets above 15 T for the future particle physics experiments. Combining X-ray micro-tomography with unsupervised machine learning algorithm, we provide a new tool capable to study the internal features of RRP wires and unlock different approaches to enhance their performances. Such tool is ideal to characterize the distribution and morphology of the voids that are generated during the heat treatment necessary to form the Nb3Sn superconducting phase. Two different types of voids can be detected in this type of wires: one inside the copper matrix and the other inside the Nb3Sn sub-elements. The former type can be related to Sn leaking from sub-elements to the copper matrix which leads to poor electro-thermal stability of the whole wire. The second type is detrimental for the electro-mechanical performance of the wires as superconducting wires experience large electromagnetic stresses in high field and high current conditions. We analyze these aspects thoroughly and discuss the potential of the X-ray tomography analysis tool to help modeling and predicting electro-mechanical and electro-thermal behavior of RRP wires and optimize their design.
DOI: 10.26037/yareta:qkhx74c27vbmbh7qfbfog4jq4y
title: Menendez 2021 EEG Mental Rotation Shared Data

description: Behavioral data and raw EEG data of Study by Menendez Granda, Iannotti, Darque and Ptak (2021)
DOI: 10.26037/yareta:qupxktilvbdhnlszfhafxo4t2a
title: Cellosaurus release 38

description: Release 38 of the Cellosaurus
DOI: 10.26037/yareta:sluzlbggmjfxjj7qmyptxs7zoa
title: Swiss building stock heat demand data by typology, raster summary

description: Swiss building stock physical characteristics and heat demands data disaggregated by building typology. The values are summarised on a raster grid of 200m x 200m pixels.
DOI: 10.26037/yareta:uoksutig4zaghb5i3s26dv5iqa
title: Menendez 2021 Behavioral Mental Rotation Shared Data

description: Behavioral data of study on mental rotation Menendez et al. 2021
DOI: 10.26037/yareta:2kw5s2jadbbv3ngtkzsovihtnu
title: 2D-3D registration gold-standard dataset for the hip joint based on uncertainty modeling

description: Estimation of the accuracy of 2D-3D registration is paramount for a correct evaluation of its outcome in both research and clinical studies. Publicly available datasets with standardized evaluation methodology are necessary for validation and comparison of 2D-3D registration techniques. Given the large use of 2D-3D registration in biomechanics, we introduced the first gold standard validation dataset for Computed Tomography (CT)-to-X-ray registration of the hip joint, based on fluoroscopic images with significant angle rotations.

This repository is a joint collaboration between two Swiss partners:

- The Laboratory for Orthopaedic Technology of Prof. Stephen J. Ferguson from ETH Zürich.
- The research team of Prof. Jérôme Schmid from the Dept. of Radiologic Medical Imaging Technology in the Geneva School of Health Sciences Geneva, member of the University of Applied Sciences and Arts Western Switzerland (HES-SO).

This repository should be used with the companion publication:

D'Isidoro F, Chênes C, Ferguson SJ, Schmid J. A new 2D-3D registration gold-standard dataset for the hip joint based on uncertainty modeling. Med Phys. 2021 Oct;48(10):5991-6006. doi: 10.1002/mp.15124. Epub 2021 Aug 17. PMID: 34287934.
DOI: 10.26037/yareta:57hgt67abzh6de5dewkoql4p3q
title: Tight-binding models for strongly interacting light and matter

description: Data set for Physical Review B 101 (20), 205140
DOI: 10.26037/yareta:ck2hesgvvfbn3ml7tew65auv5m
title: Breaking of lattice symmetry due to spontaneous band hybridisation in the material Ta2NiSe5  

description: Data set for 
Physical Review Letters 124 (19), 197601 (2020)