cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26037/yareta:ttxi6ooeuvcvdnyartwvo6ohga
title: Landsat 7 Surface Reflectance Analysis Ready Data 2016

description: Data for 2016
This dataset is the Landsat 7 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 7 mission can be found in the CEOS Earth Observation Handbook: http://database.eohandbook.com/database/missionsummary.aspx?missionID=349.

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 7 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.

The sensor’s Scan-Line Corrector (SLC) failed in July 2003 and approximately 225 of the pixels per scene have since then not been scanned. However, the spatial and spectral quality of the remaining 78% of pixels images remain valid. 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:u5rrhkxqyrgbhpijt7uhyqi6eq
title: Dataset of Regiodivergent Synthesis of Pyrazino-Indolines vs. Triazocines via α-Imino Carbenes Addition to Imidazolidines

description: Hexahydropyrazinoindoles were prepared in a single step from N-sulfonyl triazoles and imidazolidines. Under dirhodium catalysis, α-imino carbenes were generated and formed nitrogen ylide intermediates that, after subsequent aminal opening, afforded the pyrazinoindoles predominantly via formal [1,2]-Stevens and tandem Friedel-Crafts cyclizations. Of mechanistic importance, a regiodivergent reactivity was engineered through the use of a specific unsymmetrically substituted imidazolidine that promoted the exclusive formation of 8-membered ring 1,3,6-triazocines. Based on first principles, an original Curtin-Hammett-like situation was demonstrated for the mechanism. Further derivatizations lead to functionalized tetrahydropyrazinoindoles in high yields
DOI: 10.26037/yareta:zff7wyik6bethnk4xlaeg4gcy4
title: DLCM Logos

description: Logos of DLCM
DLCM (Data Life Cycle Management) project
Mandated by swissuniversities
DOI: 10.26037/yareta:3gaxgfxjzjarzp2ewhvafkh3x4
title: Bouzidi_Gendolla_French_ACS-Fr (erreur)

description: Data and data coding of the four experiments reported in:

Yann S. Bouzidi & Guido H. E. Gendolla

A French Version of the Action Control Scale (ACS-Fr): Psychometric Properties and Predictive Power
DOI: 10.26037/yareta:d5bjm6wqorcwjdhq5zunf7bcw4
title: Lithium-ion conducting glass ceramics for electrostatic gating

description: Data set for: Applied Physics Letters 113, 033502 (2018)
https://doi.org/10.1063/1.5038407
DOI: 10.26037/yareta:dgaky2kvejeblnnsm577koaljy
title: Census Declaration

description: Description of Greek Documentary Papyri: Census Declaration (Version 1, 2021)

This document has been later updated:
- 2023: https://doi.org/10.26037/yareta:gw4bc77mlje73fu2ysy4bbev4y
DOI: 10.26037/yareta:e4zlypmfsjcxxkhqkiykija4fi
title: Camel Declaration

description: Description of Greek Documentary Papyri: Camel Declaration (Version 1, 2021)

This document has been later updated:
- 2023: https://doi.org/10.26037/yareta:rjaj64mh3fd2nex7gu5txrlh3u
DOI: 10.26037/yareta:fooxao64bfe6zmkqby2terhrm4
title: AAM for Ni-Catalyzed Regioselective Hydroalkoxylation of Branched 1,3-Dienes

description: publication 64 - Mazet Group
DOI: 10.26037/yareta:jif2uzxdfrgctma6b4rknipqoe
title: Open Data to "Optical properties of LaNiO3 films tuned from compressive to tensile strain"

description: Data set corresponding to a published paper  
Journal:  Phys. Rev. B 102, 155148 (2020), DOI: 10.1103/PhysRevB.102.155148
DOI: 10.26037/yareta:jlzyhiwj6vfjrnbza4bkvobjai
title: Enhanced Electron-Phonon Interaction in Multivalley Materials

description: Data set for: Phys. Rev. X 9, 031019
https://doi.org/10.1103/PhysRevX.9.031019
DOI: 10.26037/yareta:lilsduwv4beyvmhxh5owxwr3d4
title: Cellosaurus release 7

description: Release 7 of the Cellosaurus
DOI: 10.26037/yareta:mkwb6zce7fhjrh4mrdar7tyh5a
title: Cellosaurus release 17

description: Release 17 of the Cellosaurus
DOI: 10.26037/yareta:pjzvgm4ktffldbw3vdfyvupea4
title: Lattice modulation spectroscopy of one-dimensional quantum gases: Universal scaling of the absorbed energy

description: Description: Data set for Physical Review Research 2, 033187 (2020), https://doi.org/10.1103/PhysRevResearch.2.033187
DOI: 10.26037/yareta:punw2q66wzfcriep6vi56ghyb4
title: Open Data to "Mott transition and collective charge pinning in electron doped Sr2IrO4"

description: Data set corresponding to a published paper  
Journal:  Physical Review B 98, 045107 (2018), DOI:10.1103/PhysRevB.98.045107
DOI: 10.26037/yareta:r2kfamr6sbfhfmbw3w7ua5kj7i
title: Cellosaurus release 5

description: Release 5 of the Cellosaurus
DOI: 10.26037/yareta:whntt65t6zee3m22i5vdl5ie4i
title: test2

description: test
DOI: 10.26037/yareta:wldglmsvs5ganjnjafjgabn6mm
title: Production of Highly Active Antiparasitic Compounds from the Controlled Halogenation  of the Arrabidaea brachypoda Crude Plant Extract

description: UHPLC-PDA-ELSD-MS analyses of the halogenation reactions at the analytical scale and NMR, and HRMS data of the isolated compounds
DOI: 10.26037/yareta:2rf22ljtjjhrziu745dkiskhvi
title: Cellosaurus release 8

description: Release 8 of the Cellosaurus
DOI: 10.26037/yareta:cgvjv45ogffi3obuwfizlgvfty
title: High sensitivity variable-temperature infrared nanoscopy of conducting oxide interfaces

description: Data from the publication: "High sensitivity variable-temperature infrared
nanoscopy of conducting oxide interfaces", Nature Communications, 10:2774 (2019), DOI 10.1038/s41467-019-10672-5
DOI: 10.26037/yareta:chffdhwxozb6lkw72h54giokwa
title: Dual-topology semimetal Pt2HgSe3

description: Repository for data included in the paper "Bulk and surface electronic structure of the dual-topology semimetal Pt2HgSe3" by I. Cucchi et al. published in Phys. Rev. Lett.
DOI: 10.26037/yareta:esi72uhqgjhkvpu44wnmzcdg5i
title: Very Large Tunneling Magnetoreistance in Layered Magnetic Semiconductor CrI3

description: Data set for: Nature Communications 9, 2516 (2018)
https://doi.org/10.1038/s41467-018-04953-8
DOI: 10.26037/yareta:k5s2zkqmpvfyhkkluqgplni6me
title: Cellosaurus release 13

description: Release 13 of the Cellosaurus
DOI: 10.26037/yareta:khivh7h2prgvxauarlckdo7awi
title: Pit crater's depth values recovered by Sentinel-1 SAR and from field observations

description: Depth estimations based on the radar shadow and field observations consisting of telemetry and recovering depth from pictures.
DOI: 10.26037/yareta:netxbo6p6rhvtaf2fjasfyvvkq
title: Fluorescent Flipper Probes: Comprehensive Twist Coverage

description: Original data
DOI: 10.26037/yareta:tch2gkdkhjhstk5iqeg2vsfcwm
title: AAM for A General Nickel-Catalyzed Kumada Vinylation for the Preparation of 2-Substituted 1,3-Dienes

description: publication 57 - Mazet Group
DOI: 10.26037/yareta:voyjsm5tczhuzhzxcrzfry7uxi
title: Dataset for the publication "Femtosecond Soft-X-ray Absorption Spectroscopy of Liquids with a Water-Window High-Harmonic Source"

description: Dataset for the publication:

https://doi.org/10.1021/acs.jpclett.9b03559
DOI: 10.26037/yareta:wdmelj7tcrgshkc4eina32jl2e
title: Improved thin film growth using Slow Kinetics Intermittent Sputtering

description: Data repository for the paper published in Applied Surface Science.
DOI: 10.26037/yareta:wppmltdgkrh7bak2skce5alxzi
title: Adduct annotation in LC-HRMS: Raw data for comparison study

description: LC-MS Raw data (mix 52 and urine) and supplemental tables for ESI positive mode adduct annotation study. XCMS -> CAMERA, CliqueMS, findMAIN, mzAdan

Stricker, T., Bonner, R., Lisaek, F. , Hopfgartner, G. Adduct annotation in liquid chromatography/high-resolution mass spectrometry to enhance compound identification. Anal Bioanal Chem (2020). https://doi.org/10.1007/s00216-020-03019-3
DOI: 10.26037/yareta:7ikp4bm6qvfcfk4avdkkevkjia
title: Cellosaurus release 6

description: Release 6 of the Cellosaurus
DOI: 10.26037/yareta:aehmmdpe7rhorli7h5xcmtlm24
title: Landsat 8 Surface Reflectance Analysis Ready Data 2018

description: Data for 2018
This dataset is the Landsat 8 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 8 mission can be found in the CEOS Earth Observation Handbook: http://database.eohandbook.com/database/missionsummary.aspx?missionID=547.

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 8 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:al5vrkinhbfznce7ffgl7mohq4
title: Polyether Natural Product Inspired Cascade Cyclizations Autocatalyzed on π-Acidic Aromatic Surfaces

description: Original data
DOI: 10.26037/yareta:ese7b2ms6vbf3despucbkrlzla
title: Length scales of interfacial coupling between metal and insulator phases in oxides

description: Controlling phase transitions in transition metal oxides remains a central feature of both technological and fundamental scientific relevance. A well-known example is the metal–insulator transition, which has been shown to be highly controllable. However, the length scale over which these phases can be established is not yet well understood. To gain insight into this issue, we atomically engineered an artificially phase-separated system through fabricating epitaxial superlattices that consist of SmNiO3 and NdNiO3, two materials that undergo a metal-to-insulator transition at different temperatures. We demonstrate that the length scale of the interfacial coupling between metal and insulator phases is determined by balancing the energy cost of the boundary between a metal and an insulator and the bulk phase energies. Notably, we show that the length scale of this effect exceeds that of the physical coupling of structural motifs, which introduces a new framework for interface-engineering properties at temperatures against the bulk energetics.
DOI: 10.26037/yareta:hwixthe4srbo3f36h676wzlada
title: PlosOne

description: Data
DOI: 10.26037/yareta:ijrkot57u5bkblnplfua2uec5m
title: Long lived triplet charge separated state in naphthalenediimide based donor-acceptor dyads

description: Data presented in the article: 'Long lived triplet charge separated state in naph- thalenediimide based donor-acceptor dyads', by A. Aster, C. Rumble, A.-B- Bornhof, H. H. Huang, T. Solomek, S. Matile, and E. Vauthey
Chem. Sci. (2021), 12, https://dx.doi.org/10.1039/d1sc00285f
DOI: 10.26037/yareta:jgbu2ks4dvfkdjjadb22wlyxoi
title: A FPGA-Based Post-Processing and Validation Platform for Random Number Generators

description: Computer security relies heavily on random numbers (RN) for key exchange of authentication algorithms. However, IoT device security is often based on poor quality PRNGs. This issue can be overcome using TRNGs that may offer better quality and higher security. Nonetheless, TRNG sources often provide slow throughput and require post-processing to correct hardware biases and ensure the desired statistical behavior. We propose a FPGA-based hardware platform able to validate and post-process multiple TRNG sources. A provably secure post-processing algorithm (SPRG) is implemented in hardware. This algorithm improves RN quality while maintaining high throughput. A platform providing hardware acceleration has been implemented on a Kintex-7 FPGA board. It tests the validity of the generated numbers through X² and SP800-90B online statistical tests and improves the bitstream randomness by using AIS-31 or SPRG post-processing hardware cores. The platform is modular and targets both back-end servers and IoT edge devices.
DOI: 10.26037/yareta:md2ryexqsrchhb2fafgor6lcmm
title: Understanding Implicit Bias in Clinical Care

description: Les préjugés implicites, ou les stéréotypes inconscients, sont un obstacle pour l’équité dans les soins de santé et la protection des patients vulnérables. Ils ne sont étudiés que depuis peu. Les modèles standard d'équité et de protection de la vulnérabilité dépendent de la capacité des cliniciens à prendre en compte de manière impartiale les intérêts des patients : les biais implicites représentent un défi général à cette capacité. Ce projet visait à examiner les biais implicites chez les médecins en pratique clinique. Il a été financé par le Fonds national suisse de la recherche scientifique (bourse 32003B - 149407)
DOI: 10.26037/yareta:o7tqmxe5pffjhh5pqu7nnbb5i4
title: Mise à l'écart et dépendance des personnes âgées

description: «Mise à l'écart et dépendance des personnes âgées» est une enquête transversale sur la santé des personnes âgées en Valais et à Genève, réalisée en 1978-1979 par le GUGRISPA (Groupe universitaire genevois de recherche interdisciplinaire sur les personnes âgées).

Ce projet a été financé par le Fonds national suisse de la recherche scientifique (FNS) à travers le Programme national de recherche no 3 (PNR 3): Problèmes d'intégration sociale: les jeunes; les personnes âgées.
DOI: 10.26037/yareta:pkujtpch4vhqbhyxyw63vhsc6m
title: Hystorian: A Processing Tool for Scanning Probe Microscopy and Other n-Dimensional Datasets

description: Research in materials science increasingly depends on the correlation of information from multiplie characterisation techniques, acquired in ever larger datasets. Efficient methods of processing and storing these complex datasets are therefore crucial. Reliably keeping track of data processing is also essential to conform with the goals of open science. Here, we introduce Hystorian, a generic materials science data analysis Python package built with processing traceability, reproducibility, and archival ability at its core. Proprietary data formats are converted into open hierarchical data format (HDF5) files, with both datasets and subsequent workflows automatically stored into a single location, thus allowing easy management of multiple data types. At present providing a basic scanning  probe microscopy and x-ray diffraction analysis toolking, Hystorian is readily extensible to suit user needs and can wrap any existing processing functions, making it easy to append in an extant workflow.
DOI: 10.26037/yareta:umwz7l5vprgzjni2hn3pzbvq3e
title: Landsat 7 Surface Reflectance Analysis Ready Data 2005

description: Data for 2005
This dataset is the Landsat 7 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 7 mission can be found in the CEOS Earth Observation Handbook: http://database.eohandbook.com/database/missionsummary.aspx?missionID=349.

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 7 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.

The sensor’s Scan-Line Corrector (SLC) failed in July 2003 and approximately 225 of the pixels per scene have since then not been scanned. However, the spatial and spectral quality of the remaining 78% of pixels images remain valid. 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:vd6ilyw5l5cahb7e2td3tqrn6y
title: Krethlow et al., "Age-Specific Effects of Lexical-Semantic Networks on Word Production"

description: Mean Lexical-Semantic Variables for 204 items:
We present here, for 204 concrete words, mean values of 3 lexical-semantic variables: Available Richness (Mnb), Network Prototypicality obtained from the first associate given for each word (H1st), Network Prototypicality considering all associates given for each concrete word (HAll). Each variable was collected from 6 different age-groups: "children" (10-13 y.o.), "adolescents" (16-18 y.o.), "young adults" (20-30 y.o.), "adults" (40-50 y.o.), "young-old adults" (58-68 y.o.), "older adults" (69-80 y.o.). A free lexical-semantic association task was used for collecting data.
For visualization of lexical-semantic networks of 195 concrete words see also: http://latlntic.unige.ch/projet_18-19/reseaux_semantiques/website/index.html
DOI: 10.26037/yareta:vsnnu6k3v5hz3mjpefpbpjy6mi
title: GET-Questionnaire_GET-IAT_data

description: data related to the GET questionnaire and the GET IAT
DOI: 10.26037/yareta:zd4mwtfrtvcmhaffdraqncwgxy
title: Lifetime broadening and impulsive generation of vibrational coherence triggered by ultrafast electron transfer

description: Data presented in the article: 'Lifetime broadening and impulsive generation of vibrational coherence triggered by ultrafast electron transfer', by A. Aster, A.-B. Bornhof, S. Matile and E. Vauthey
DOI: 10.26037/yareta:7klmnlxqpbgkta5374hxe7f5oe
title: Cellosaurus release 18

description: Release 18 of the Cellosaurus
DOI: 10.26037/yareta:amxznnt6lbhvnnhle33uacttqm
title: Archives Schlaepfer et al EVR manuscript

description: Contains an excel file of raw data on call stimuli and responses, as well as a video illustrating anurans responding to stimuli