cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26037/yareta:b5gpx2lvzjdpjo5pc7upmp3bjy
title: Near-Atomic-Scale Mapping of Electronic Phases in Rare Earth Nickelate Superlattices

description: Nanoscale mapping of the distinct electronic phases characterizing the metal–insulator transition displayed by most of the rare-earth nickelate compounds is fundamental for discovering the true nature of this transition and the possible couplings that are established at the interfaces of nickelate-based heterostructures. Here, we demonstrate that this can be accomplished by using scanning transmission electron microscopy in combination with electron energy-loss spectroscopy. By tracking how the O K and Ni L edge fine structures evolve across two different NdNiO3/SmNiO3 superlattices, displaying either one or two metal–insulator transitions depending on the individual layer thickness, we are able to determine the electronic state of each of the individual constituent materials. We further map the spatial configuration associated with their metallic/insulating regions, reaching unit cell spatial resolution. With this, we estimate the width of the metallic/insulating boundaries at the NdNiO3/SmNiO3 interfaces, which is measured to be on the order of four unit cells.
DOI: 10.26037/yareta:cl5mzurjcfgn7butslaojepweu
title: Probing magnetism in 2D materials at the nanoscale with single-spin microscopy

description: Data set for: Science 364, 973-976 (2019)
https://doi.org/10.1126/science.aav6926
DOI: 10.26037/yareta:dbuswam7mneidpnzetnkfwhci4
title: Cellosaurus release 16

description: Release 16 of the Cellosaurus
DOI: 10.26037/yareta:ewdhuk2b4jdp7mruzpkeljr264
title: Cellosaurus release 15

description: Release 15 of the Cellosaurus
DOI: 10.26037/yareta:fmvsouuctvdmjfrp6jolhul64a
title: Deconfining disordered phase in two-dimensional quantum link models

description: Data set for Physical Review Letters 124, 123601 (2020), https://10.1103/PhysRevLett.124.123601
DOI: 10.26037/yareta:k3g72xrn4vepddr4s4wueyfqlm
title: Landsat 7 Surface Reflectance Analysis Ready Data 2006

description: Data for 2006
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:kw4soisohbffpb2k2i65qubt5u
title: Dataset for Remote Functionalization of α,β-Unsaturated Carbonyls by Multimetallic Sequential Catalysis

description: dataset for publication 63
DOI: 10.26037/yareta:ne2xmcavwzbtnhib4jopkiwqei
title: Universal Hall response in interacting quantum systems

description: Data set for: Physical Review Letters 122, 083402 (2019), https://doi.org/10.1103/PhysRevLett.122.083402
DOI: 10.26037/yareta:ou4cbyvw5jfulf7tutznqbtd4e
title: Determining the phase diagram of atomically thin layered antiferromagnet CrCl3

description: Data set for: Nature Nanotechnology volume 14, pages1116–1122(2019)
https://doi.org/10.1038/s41565-019-0565-0
DOI: 10.26037/yareta:pen5stdvz5bp3fgjhyyf3l2jiq
title: Approximation power of Quantum Boltzmann Machine

description: Data reported in "Approximating power of machine-learning ansatz for quantum many-body states", https://arxiv.org/abs/1901.08615
are presented. This preprint has been accepted for publication by Physical Review B.
DOI: 10.26037/yareta:rnzaplk6k5c7fmyb55l366gope
title: Dataset of Preparation and structural characterization of [CpRu(1,10-phenanthroline)(CH3CN)][X] and precursor complexes (X= PF6, BArF, TRISPHAT-N)

description: Cationic [Ru(η5-C5H5)(CH3CN)3]+ complex, tris(acetonitrile)(cyclopentadienyl)ruthenium(II), gives rise to a very rich organometallic chemistry. Combined with diimine ligands, and 1,10-phenanthroline in particular, this system efficiently catalyzes diazo decomposition processes to generate metal-carbenes which undergo series of original transformations in presence of Lewis basic substrates. Herein, syntheses and characterizations of [CpRu(Phen)(L)] complexes with (large) lipophilic non-coordinating (PF6− and BArF−) and coordinating N-TRISPHAT− anions are reported. Complex [CpRu(η6-naphthalene)][BArF] [1][BArF] is readily accessible, in high yield, by direct counterion exchange between [1][PF6] and sodium tetrakis[3,5-bis(trifluoromethyl)phenyl]borate (NaBArF) salts. Ligand exchange of [1][BArF] in acetonitrile generated stable [Ru(η5-C5H5)(CH3CN)3][BArF] [2][BArF] complex in high yield. Then, the desired [CpRu(Phen)(CH3CN)] [3] complexes were obtained from either the [1] or [2] complex in the presence of the 1,10-phenanthroline as ligand. For characterization and comparison purposes, the anionic hemilabile ligand TRISPHAT-N (TTN) was introduced on the ruthenium center, from the complex [3][PF6], to quantitatively generate the desired complex [CpRu(Phen)(TTN)] [4] by displacement of the remaining acetonitrile ligand and of the PF6− anion. Solid state structures of complexes [1][BArF], [2][BArF], [3][BArF], [3][PF6] and [4] were determined by X-ray diffraction studies and are discussed herein.
DOI: 10.26037/yareta:wx2ql65ytba6zliewk35263loy
title: AAM for A Catalytic Dual Isomerization/Allylboration Sequence for the Stereoselective Construction of Congested Secondary Homoallylic Alcohols

description: publication 66 - Mazet Group
DOI: 10.26037/yareta:zsmeadwn3vbgpag2jqno3lj554
title: Dataset of Merging polyacenes and cationic helicenes

description: NMR, MS and HPLC original data files, computational details and optical properties for the article entitled: Merging polyacenes and cationic helicenes: from weak to intense chiroptical properties in the far red region
DOI: 10.26037/yareta:pbm7s2yy6nexdegitoo3mlnze4
title: AAM for Multicatalytic Stereoselective Synthesis of Highly Substituted Alkenes by Sequential Isomerization/Cross-Coupling Reactions

description: publication 58 - Mazet Group
DOI: 10.26037/yareta:4l5bd7uxhza5vehp2g566p4bhi
title: Cellosaurus release 3

description: Release 3 of the Cellosaurus
DOI: 10.26037/yareta:5futgivyezdw5gdqqfogybt3ky
title: MIROVA Heat equation

description: Data and code needed to compute (1) lava flow thickness and time of occurrence based on MIROVA data, and (2) thermal evolution of the lava layers
DOI: 10.26037/yareta:5mjafzwtdrgmjfivke3eo4cgq4
title: Yareta Logos

description: Logos of Yareta service
Repository for Research Datasets
Operated by University of Geneva
DOI: 10.26037/yareta:cumuzlu4lfgxpky6rraakz73h4
title: Role of a higher dimensional interaction in stabilizing charge density waves in quasi-one-dimensional NbSe3 revealed by angle-resolved photoemission spectroscopy

description: Data set for Physical Review B 101, 045412 (2020), https://doi.org/10.1103/PhysRevB.101.045412
DOI: 10.26037/yareta:d7oanpxk3jd2xhd7sg7qhicdv4
title: Marker misplacement of LKNE 

description: Data associated to a sensitivity study performed on misplacement of the lateral epicondyle marker (LKNE).
- format .c3d and .csv
DOI: 10.26037/yareta:iwf52jpxrreg3m7eomkwzqjlo4
title: Investigating Photoinduced Charge-Transfer Products using Ultrafast Spectroscopy

description: Data from the PhD Thesis of Joseph S. Beckwith, "Investigating Photoinduced Charge-Transfer Products using Ultrafast Spectroscopy"
DOI: 10.26037/yareta:mskur6ijhjft7cugphvb3wrsum
title: Naphthalenediimides with Cyclic Oligochalcogenides in Their Core

description: Original data
DOI: 10.26037/yareta:o7254wxbc5cy3jfn2k3cb3kosu
title: Semiconducting van der Waals interfaces as artificial semiconductors

description: Data set for: Nano Lett. 2018, 18, 5146−5152
https://doi.org/10.1021/acs.nanolett.8b02066
DOI: 10.26037/yareta:oyt36kvifnb23jgtnw22imfzka
title: Low dimensional correlations under thermal fluctuations

description: Data set for: Physical Review B 99, 195121 (2019), https://doi.org/10.1103/PhysRevB.99.195121
DOI: 10.26037/yareta:pr2jcmrstbb6nerrjt7tpj6bo4
title: Pit-Crater Floor Level

description: A set of depth values recovered by Sentinel-1 SAR and from pictures
DOI: 10.26037/yareta:733wr4tlxvavjm62qidpggfloq
title: Flipping exciton angular momentum with chiral phonons in MoSe2_WSe2 heterobilayers

description: Data set for: 2D Materials 7, 041002 (2020)
https://doi.org/10.1088/2053-1583/aba567
DOI: 10.26037/yareta:bohqg3d2indi7phcoraatme3hi
title: Supplementary Figure 1

description: For paper : Biosynthetic activity differs between islet cell types and in beta cells is modulated by glucose and not by secretion
DOI: 10.26037/yareta:c7qn3qs5krhqrmagu56puxv3rm
title: Cellosaurus release 4

description: Release 4 of the Cellosaurus
DOI: 10.26037/yareta:cb64wq2pzfdv5kkb4xrppcyiuu
title: Brochure v2

description: Brochure for Yareta II event at CMU
DOI: 10.26037/yareta:e2nnwv4ymfg6djmcqneccbmvju
title: Landsat 7 Surface Reflectance Analysis Ready Data 2002

description: Data for 2002
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:f7za2rzvwve7xl2a242ylpnnkm
title: La professionnalisation des enseignants en formation initiale - rapport de recherche FNS (mars 2016)

description: Données relatives au rapport de recherche (mars 2016) sur la professionnalisation des enseignants en formation initiale (Projet FNS requête no 100019-156730).
DOI: 10.26037/yareta:jbrucdsj5nentl4mjqehwtcycu
title: Dataset for Synthesis, Resolution, Configurational Stability and Properties of Cationic Functionalized [5]helicenes

description: A straightforward approach to the synthesis of two different series of cationic [5]helicenes has been achieved including, in dioxa series, the possibility to introduce aromatic functional groups at the periphery of the helical structure. While photo-physical study highlights that the introduction of aryl substituents at position 23 of the helical moieties has a negligible impact on the optical properties, styryl substituents allow a welcoming extension of the conjugation pathways. Finally, a red-shift of the optical properties was evidenced upon introduction of nitrogen atoms in the helicene scaffold, leading to particularly good fluorescence efficiencies in the red domain for a helicenic dye. Detailed information on racemization kinetics was collected for the most stable species upon direct HPLC resolution or, when configurational lability was too high, through VT-HPLC analysis on chiral stationary phase (ΔG‡ values ranging from 20.3 to 32.8 kcal.mol-1 and above)
DOI: 10.26037/yareta:kdd7m2jwfvdinhn2uuoi3h22xq
title: Landsat 7 Surface Reflectance Analysis Ready Data 2008

description: Data for 2008
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:nxtqgcnllzbklcak4qyzi3adv4
title: Observation of flat bands in twisted bilayer graphene (source data)

description: Source data of manuscript "Observation of flat bands in twisted bilayer graphene" by Simone Lisi et al. published in Nature Physics.
DOI: 10.26037/yareta:ptypzp365nhjrlfjzlakr2biqu
title: From Red to Blue: Self-Enhanced Multicolor Electrochemiluminescence by Competitive Intra- vs Inter-molecular Electron-transfer Processes

description: Bifunctional ECL features have been integrated in a single molecular system based on a red-emitting helicene dye. The coreactant and the luminescent functions are decoupled and are activated either separately or simultaneously. Self-enhanced multicolor ECL emission was obtained in aqueous media by competitive highly exergonic intra- and inter-molecular electron-transfer reactions.
DOI: 10.26037/yareta:qsr576ka5zbkxfmfevc62ffx7m
title: Cellosaurus release 28

description: Release 28 of the Cellosaurus
DOI: 10.26037/yareta:sgxw6fzibzf4jjeczpkkfs4e5e
title: Cellosaurus release 12

description: Release 12 of the Cellosaurus
DOI: 10.26037/yareta:tismljwwmzethmlfzdd2vrnakm
title: Landsat 7 Surface Reflectance Analysis Ready Data Collection

description: 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:tv6ot4xgijgtxndongwikfsb6y
title: Ion-Pair Dynamics upon Photoinduced Electron Transfer Monitored by Pump–Pump–Probe Spectroscopy

description: Data shown in:
Beckwith, J. S.; Lang, B.; Grilj, J.; Vauthey, E. Ion-Pair Dynamics upon Photoinduced Electron Transfer Monitored by Pump–Pump–Probe Spectroscopy. J. Phys. Chem. Lett. 2019, 10, 3688-3693.

https://doi.org/10.1021/acs.jpclett.9b01431
DOI: 10.26037/yareta:zd45a4tj5nh5nofu2hxsqns4tu
title: Multi-frequency Shubnikov-de Haas oscillations in topological semimetal Pt2HgSe3

description: Data set for: 2D Mater. 7, 025042 (2020)
https://doi.org/10.1088/2053-1583/ab7689