cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5792895
title: Deliverable D2 (D1.4) - Functional quantum device grown with FEBID

description: Superconductors are one of the building blocks for most nanodevices used in quantum applications. The direct local writing aspect of the Focused Electron Beam Induced Deposition (FEBID) technique allows for flexible deposition of any materials and especially metals and superconductors. As clean bulk material tungsten (W) has a superconducting transition temperature Tc = 15 mK only and a critical field Bc = 0.12 mT. Tc can be increased by introducing disorder and carbon incorporation to about 5.5 K and Bc to 9.5 T using e.g. ion- induced deposition techniques [3, 4]. Superconducting tungsten fabricated by FEBID has been so far reported only twice in the literature [1, 2]. Here we report the use of tungstenhexacarbonyl W(CO)6 molecules as a precursor for fabricating superconducting tungsten by FEBID.
DOI: 10.5281/zenodo.5792881
title: Dataset for 'Intraocular scatter compensation with spatial light amplitude modulation for improved vision in simulated cataractous eyes'

description: Dataset for the manuscript entitled: Intraocular scatter compensation with spatial light amplitude modulation for improved vision in simulated cataractous eyes includes: 1) PSF from numerical simulations 2) CSF measured in subjects 3) Michelson contrast from numerical simulations
DOI: 10.48370/ofd/ghfoaf/drsdbg
title: HMW_Salix_x_rugulosa_Andersson_=_S.myrtilloides_x_aurita_H_08155.jpg

description: :unav
DOI: 10.48370/ofd/ghfoaf
title: Salix x rugulosa Andersson, 8155

description: Herbarium
DOI: 10.48370/ofd/q3wg7n/ougnl6
title: HMW_Salix_x_rugulosa_Andersson_=_S.myrtilloides_x_aurita_H_6683.jpg

description: :unav
DOI: 10.48370/ofd/q3wg7n
title: Salix x rugulosa Andersson, 6683

description: Herbarium
DOI: 10.48370/ofd/lmordk/847a7e
title: HMW_Salix_x_rugulosa_Andersson_=_S.myrtilloides_x_aurita_H_5690.jpg

description: :unav
DOI: 10.48370/ofd/lmordk
title: Salix x rugulosa Andersson, 5690

description: Herbarium
DOI: 10.48370/ofd/lskkpw/nwpvxz
title: HMW_Salix_x_reichardtii_Kerner_H_8829.tif

description: :unav
DOI: 10.48370/ofd/lskkpw
title: Salix x reichardtii Kerner, 8829

description: Herbarium
DOI: 10.48370/ofd/ia1oot/fhovxk
title: HMW_Salix_x_reichardtii_Kerner_H_4192.tif

description: :unav
DOI: 10.48370/ofd/ia1oot
title: Salix x reichardtii Kerner, 4192

description: Herbarium
DOI: 10.48370/ofd/wqjmnh/okuiuc
title: HMW_Salix_x_reichardtii_Kerner_H_1773.tif

description: :unav
DOI: 10.48370/ofd/wqjmnh
title: Salix x reichardtii Kerner, 1773

description: Herbarium
DOI: 10.15161/oar.it/74355
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.5281/zenodo.4631875
title: Organic micropollutants and heavy metals in an urban stream in Berlin (Germany) during dry and wet weather conditions

description: This dataset includes concentrations of micropollutants (67), heavy metals (8) and standard parameters (9) for the urban stream Panke in Berlin (Germany) during dry and wet weather conditions. Samples were taken as part of the OgRe research project of Kompetenzzentrum Wasser Berlin (www.kompetenz-wasser.de/en/project/ogre/) in 2014 and 2015. Sampling and analytical methods are detailed in "Concentrations of micropollutants in urban stormwater runoff of different land uses" (https://doi.org/10.3390/w13091312). A dataset with concentrations of stormwater runoff samples taken from separate sewers of five catchments between 3 and 37 ha in Berlin (samples were taken as part of the same project) is available separately (https://zenodo.org/record/4631695). <strong>Description of fields:</strong> <strong>SampleID</strong>: unique sampe identifier <strong>SiteID</strong>: unique site identifier (catchment type) 1 - 5: catchment types for samples of stormwater runoff (available in seperate dataset) 6 - PNK: urban stream Panke, a small lowland river (MQ ~ 0.5 m³·s-1) characterized by strong stormwater inputs from separate sewer discharges <strong>LocalDateTime</strong>: start time of sampling (local) <strong>DateTimeUTC</strong>: start time of sampling (UTC) <strong>UTCOffset</strong>: UTC offset to local time in h <strong>SampleType</strong>: either "single" for grab sample (all stream samples) or "composite" for volume proportional composite sample (all samples from storm sewers, separate dataset) <strong>VariableName</strong>: name of analysed substance/parameter <strong>UnitsAbbreviation</strong>: either "ug/L" (microgram per litre) or "mg/L" (milligram per litre) <strong>CensorCode</strong>: either "lt" (less than) for concentration below detection limit (value is detection limit) or "nc" (not censored) for concentration above detection limit <strong>DataValue</strong>: measured value (if censor code is lt, value indicates detection limit) Two data files are provided in comma separated format: "Panke_wet_weather.csv" contains concentrations of all samples taken from the Panke stream during storm events (taken during event peak time) "Panke_dry_weather.csv" contains all concentrations of samples taken from the Panke stream at four dates during dry weather conditions
description: The study was financed through Berlin Environmental Relief Programme II (11409 UEPII/2) with funds of the European Regional Development Fund and Veolia Eau, which is greatly acknowledged.
DOI: 10.48370/ofd/b9oaog/o3liqv
title: HMW_Salix_x_reichardtii_Kerner_H_6676.tif

description: :unav
DOI: 10.48370/ofd/b9oaog
title: Salix x reichardtii Kerner, 6676

description: Herbarium
DOI: 10.48370/ofd/74n9q1/tteawz
title: HMW_Salix_x_reichardtii_Kerner_H_3081.tif

description: :unav
DOI: 10.5281/zenodo.5204467
title: Deleted (wrong upload)

description: Check new version available.
description: When using this dataset, please cite the original publication as follows: Dennler, N., Foncubierta-Rodriguez, A., Neupert, T., & Sousa, M. (2021). Learning-based defect recognition for quasi-periodic HRSTEM images. Micron, 146(July 2020), 103069. https://doi.org/10.1016/j.micron.2021.103069
DOI: 10.48370/ofd/74n9q1
title: Salix x reichardtii Kerner, 3081

description: Herbarium
DOI: 10.48370/ofd/r1rlch/3ioyqx
title: HMW_Salix_x_reichardtii_Kerner_H_4641.tif

description: :unav
DOI: 10.48370/ofd/r1rlch
title: Salix x reichardtii Kerner, 4641

description: Herbarium
DOI: 10.48370/ofd/m4va70/w45m6y
title: HMW_Salix_x_reichardtii_Kerner_H_3849.tif

description: :unav
DOI: 10.48370/ofd/m4va70
title: Salix x reichardtii Kerner, 3849

description: Herbarium
DOI: 10.5281/zenodo.5792917
title: Dataset: HRSTEM Images of Defective and Non-Defective Quasi-Periodic Materials

description: This is the image dataset and model used to produce the results reported in the following publication: <br> Dennler, N., Foncubierta-Rodriguez, A., Neupert, T., Sousa, M. (2021). <em>Learning-based defect recognition for quasi-periodic HRSTEM images</em>. Micron, 146(July 2020), 103069. https://doi.org/10.1016/j.micron.2021.103069<br> <br> For questions, please correspond with N. Dennler (n.dennler2<strong> </strong>at<strong> </strong>herts.ac.uk) or with M. Sousa (sou at zurich.ibm.com). <strong>hrstem_defects_dataset.zip:</strong> These are the images and labels used to develop and test the algorithm proposed in the above-mentioned publication. They correspond to high resolution scanning transmission electron microscopy images obtained for various III-V films, namely InP, GaAs, InGaAs and InAlGaAs using a JEOL ARM200F microscope. The raw images have been converted in .tif format with the GMS 3 program from Digital Micrograph. The labels have been created by a microscopy expert. Black: main crystal symmetry (non-defective). Gray: secondary crystal symmetry (symmetry defect). White: blurred (amorphous region or beam defect)<br> <br> <strong>vgg16.zip: </strong>The trained neural network model as well as a detailed description of the training/testing dataset that was used to achieve the results reported in the above-mentioned publication.
description: When using this dataset, please cite the original publication as follows: Dennler, N., Foncubierta-Rodriguez, A., Neupert, T., Sousa, M. (2021). Learning-based defect recognition for quasi-periodic HRSTEM images. Micron, 146(July 2020), 103069. https://doi.org/10.1016/j.micron.2021.103069
DOI: 10.5281/zenodo.4739587
title: Dataset: HRSTEM Images of Defective and Non-Defective Quasi-Periodic Materials

description: This is the image dataset and model used to produce the results reported in the following publication: <br> Dennler, N., Foncubierta-Rodriguez, A., Neupert, T., Sousa, M. (2021). <em>Learning-based defect recognition for quasi-periodic HRSTEM images</em>. Micron, 146(July 2020), 103069. https://doi.org/10.1016/j.micron.2021.103069<br> <br> For questions, please correspond with N. Dennler (n.dennler2<strong> </strong>at<strong> </strong>herts.ac.uk) or with M. Sousa (sou at zurich.ibm.com). <strong>hrstem_defects_dataset.zip:</strong> These are the images and labels used to develop and test the algorithm proposed in the above-mentioned publication. They correspond to high resolution scanning transmission electron microscopy images obtained for various III-V films, namely InP, GaAs, InGaAs and InAlGaAs using a JEOL ARM200F microscope. The raw images have been converted in .tif format with the GMS 3 program from Digital Micrograph. The labels have been created by a microscopy expert. Black: main crystal symmetry (non-defective). Gray: secondary crystal symmetry (symmetry defect). White: blurred (amorphous region or beam defect)<br> <br> <strong>vgg16.zip: </strong>The trained neural network model as well as a detailed description of the training/testing dataset that was used to achieve the results reported in the above-mentioned publication.
description: When using this dataset, please cite the original publication as follows: Dennler, N., Foncubierta-Rodriguez, A., Neupert, T., Sousa, M. (2021). Learning-based defect recognition for quasi-periodic HRSTEM images. Micron, 146(July 2020), 103069. https://doi.org/10.1016/j.micron.2021.103069
DOI: 10.48370/ofd/tmpfmq/wahypb
title: HMW_Salix_x_multinervis_H_4438.tif

description: :unav
DOI: 10.48370/ofd/tmpfmq
title: Salix x multinervis Doll, 4438

description: Herbarium
DOI: 10.48370/ofd/lxnjhn/72iegh
title: HMW_Salix_x_multinervis_H_2012.tif

description: :unav
DOI: 10.48370/ofd/lxnjhn
title: Salix x multinervis Doll, 2012

description: Herbarium
DOI: 10.5281/zenodo.5792897
title: Deleted (wrong upload)

description: Check new version available.
description: When using this dataset, please cite the original publication as follows: Dennler, N., Foncubierta-Rodriguez, A., Neupert, T., Sousa, M. (2021). Learning-based defect recognition for quasi-periodic HRSTEM images. Micron, 146(July 2020), 103069. https://doi.org/10.1016/j.micron.2021.103069
DOI: 10.48370/ofd/gveekl/wzfsbi
title: HMW_Salix_x_multinervis_H_8062.tif

description: :unav
DOI: 10.48370/ofd/gveekl
title: Salix x multinervis Doll, 8062

description: Herbarium
DOI: 10.48370/ofd/bpgi3l/zgxh7r
title: HMW_Salix_x_multinervis_H_5777.tif

description: :unav
DOI: 10.48370/ofd/bpgi3l
title: Salix x multinervis Doll, 5777

description: Herbarium
DOI: 10.48370/ofd/vtbrmr/xwjskl
title: HMW_Salix_x_multinervis_H_6677.tif

description: :unav
DOI: 10.48370/ofd/vtbrmr
title: Salix x multinervis Doll, 6677

description: Herbarium
DOI: 10.5281/zenodo.4739588
title: (OUTDATED) Dataset: HRSTEM Images of Defective and Non-Defective Quasi-Periodic Materials

description: Please refer to the latest version, which includes all images and corresponding labels. -&gt; https://zenodo.org/record/5792917
DOI: 10.48370/ofd/roib2m/bqpkrn
title: HMW_Salix_x_multinervis_H_4538.tif

description: :unav
DOI: 10.48370/ofd/roib2m
title: Salix x multinervis Doll, 4538

description: Herbarium
DOI: 10.48370/ofd/tqouaj/zg9qi9
title: HMW_Salix_x_multinervis_H_4433.tif

description: :unav
DOI: 10.48370/ofd/tqouaj
title: Salix x multinervis Doll, 4433

description: Herbarium
DOI: 10.48370/ofd/w8nt66/rgihhd
title: HMW_Salix_x_multinervis_H_3092.tif

description: :unav
DOI: 10.25345/c53w1s
title: MassIVE MSV000088590 - Multi-scan cycle time centric optimization allows rapid intact protein and top down characterization
title: The ionization conditions necessary for intact protein characterization in Orbitrap mass analyzers can be highly variable. To more rapidly characterize intact proteins we have developed a method where multiple sets of conditions can be used within a single experiment. These 3 scan events contain generic parameters for: 1) Proteins that do not require additional in-source collision energy for efficient ionization, 2) Proteins that require some additional energy, 3) Proteins that require substantial in source energy. We test this method with a commercial intact protein standard containing proteins between 10kDa and 90kDa with and without the addition of the NIST monoclonal antibody standard.
DOI: 10.48370/ofd/w8nt66
title: Salix x multinervis Doll, 3092

description: Herbarium
DOI: 10.48370/ofd/o4odla/5dmese
title: HMW_Salix_x_multinervis_H_4390.tif

description: :unav
DOI: 10.48370/ofd/o4odla
title: Salix x multinervis Doll, 4390

description: Herbarium
DOI: 10.48370/ofd/ihjony/7kna5a
title: HMW_Salix_x_multinervis_H_4395.tif

description: :unav
DOI: 10.48370/ofd/ihjony
title: Salix x multinervis Doll, 4395

description: Herbarium
DOI: 10.48370/ofd/osjk2i/6m5zi2
title: HMW_Salix_x_multinervis_H_2008.tif

description: :unav
DOI: 10.48370/ofd/osjk2i
title: Salix x multinervis Doll, 2008

description: Herbarium
DOI: 10.48370/ofd/lkrweq/bib2ao
title: HMW_Salix_x_multinervis_H_0111.tif

description: :unav
DOI: 10.48370/ofd/lkrweq
title: Salix x multinervis Doll, 111

description: Herbarium
DOI: 10.48370/ofd/ifysdd/ocqu0b
title: HMW_Salix_x_mollissima_Ehrh_H_8083.jpg

description: :unav
DOI: 10.48370/ofd/ifysdd
title: Salix x mollissima Ehrh, 8083

description: Herbarium
DOI: 10.48370/ofd/oq8trc/pxchih
title: HMW_Salix_x_mollissima_Ehrh_H_8080.jpg

description: :unav
DOI: 10.48370/ofd/oq8trc
title: Salix x mollissima Ehrh, 8080

description: Herbarium
DOI: 10.6084/m9.figshare.17294255
title: Keywords and search strings for generating SDG training sets

description: This table contains the keywords and phrases that were used to generate the training sets based on publications from the Dimensions platform in step 1 of creating a ML based Research classification based on the 17 UN Sustainable Development Goals.Based on publications from the Dimensions platform the resulting SDG classification is freely available at https://www.dimensions.ai/<br> The results of the process and a report ‘Contextualizing Sustainable Development Research’ with results and analysis are available (references underneath)<br> Next to the publications on the Dimensions platform, the resulting research classification is further applied to research grants and data sets.
DOI: 10.48529/ypsw-0188
title: Evaluating a Landmine Action ex-combatant Reintegration Program in Liberia 2009
title: LBR_2009_LMA_v01_M
DOI: 10.48370/ofd/abm9he/z3nmed
title: HMW_Salix_x_holosericea_Willd_H_8082.jpg

description: :unav
DOI: 10.48370/ofd/abm9he
title: Salix x holosericea Willd., 8082

description: Herbarium
DOI: 10.48370/ofd/r1kg5k/yfjj2b
title: HMW_Salix_x_dasyclados_Wimm._8163.jpg

description: :unav
DOI: 10.48370/ofd/r1kg5k
title: Wierzba długokończysta (Salix x dasyclados Wimm.), 8163

description: Herbarium
DOI: 10.48370/ofd/mdfv0o/papp5x
title: HMW_Salix_x_dasyclados_Wimm._3484.jpg

description: :unav
DOI: 10.48370/ofd/mdfv0o
title: Wierzba długokończysta (Salix x dasyclados Wimm.), 3484

description: Herbarium
DOI: 10.5281/zenodo.5792966
title: Permittivity of AuAg alloys along with calculations and measurements of the alloyed Fano-resonant structures

description: Here I present the data corresponding to the manuscript "Low temperature annealing method for fabricating alloy nanostructures and metasurfaces: Unlocking a novel degree of freedom" (arXiv:2105.02461). In this work, I have provided a technique of alloying AuAg at low temperature. Here I present the measured ellipsometric data of the AuAg alloys alloyed at low temperatures and measurements of the single structure AuAg alloyed 4-rod Fano-resonance nanostructures. I have also provided the calculations of the Fano-resonant structures using the permittivity of the Rioux model as well as well as the permittivity obtained from the Rioux model. Each .zip file is associated with a Readme file explaining everything in greater details.
DOI: 10.5281/zenodo.4782971
title: Permittivity of AuAg alloys along with calculations and measurements of the alloyed Fano-resonant structures

description: Here I present the data corresponding to the manuscript "Low temperature annealing method for fabricating alloy nanostructures and metasurfaces: Unlocking a novel degree of freedom" (arXiv:2105.02461). In this work, I have provided a technique of alloying AuAg at low temperature. Here I present the measured ellipsometric data of the AuAg alloys alloyed at low temperatures and measurements of the single structure AuAg alloyed 4-rod Fano-resonance nanostructures. I have also provided the calculations of the Fano-resonant structures using the permittivity of the Rioux model as well as well as the permittivity obtained from the Rioux model. Each .zip file is associated with a Readme file explaining everything in greater details.
DOI: 10.5281/zenodo.5720884
title: Deliverable D4.2 : Josephson effect in a TI nanowire-based device

description: DELIVERABLE D4.2: Josephson effect in a TI nanowire-based device Hybrid material systems with a conventional superconductor in proximity to a strong spin-orbit semiconductor or a Topological Insulator (TI) have recently acquired a vast interest due to their potential to host exotic phenomena. In a multimode hybrid TI Josephson junction with two terminal geometry, Majorana physics manifests as peculiar properties of a part of the Andreev bound states carrying the Josephson current. They give rise to an unconventional 4π periodic current phase relation (CPR) coexisting with a 2π periodic CPR resulting from the conventional Andreev bound states. The relative weight between the 4π and 2π periodic Andreev bound states increases with the transparency of the junction and, in general, by reducing the number of channels. We make use of Al-Bi<sub>2</sub>Se<sub>3</sub>-Al junctions fabricated using TINRs grown by physical vapor deposition. To extract the current phase relation of our TI-junction, we utilize an asymmetric dc-Superconducting Quantum Interference Device (SQUID) measurement technique.
DOI: 10.5281/zenodo.5720883
title: Deliverable D4.2 : Josephson effect in a TI nanowire-based device

description: DELIVERABLE D4.2: Josephson effect in a TI nanowire-based device Hybrid material systems with a conventional superconductor in proximity to a strong spin-orbit semiconductor or a Topological Insulator (TI) have recently acquired a vast interest due to their potential to host exotic phenomena. In a multimode hybrid TI Josephson junction with two terminal geometry, Majorana physics manifests as peculiar properties of a part of the Andreev bound states carrying the Josephson current. They give rise to an unconventional 4π periodic current phase relation (CPR) coexisting with a 2π periodic CPR resulting from the conventional Andreev bound states. The relative weight between the 4π and 2π periodic Andreev bound states increases with the transparency of the junction and, in general, by reducing the number of channels. We make use of Al-Bi<sub>2</sub>Se<sub>3</sub>-Al junctions fabricated using TINRs grown by physical vapor deposition. To extract the current phase relation of our TI-junction, we utilize an asymmetric dc-Superconducting Quantum Interference Device (SQUID) measurement technique.
DOI: 10.48529/n4yg-1539
title: Indoor Residual Spraying (IRS) Impact Evaluation Survey 2009
title: ERI_2009_IRSIES_v01_M
DOI: 10.48370/ofd/h9hw9i/9l4byv
title: HMW_Salix_x_coriacea_Schleicher_H_4845.jpg

description: :unav
DOI: 10.48370/ofd/h9hw9i
title: Salix x coriacea Schleicher, 4845

description: Herbarium
DOI: 10.25502/fp09-8k31/d
title: Baseline Study for SWEF Project in Mozambique

description: The Sofala Province Water, Energy, and Food Security (SWEF) project and Climate Smart Agriculture and Water Project (CSAW) project are two 4-year – 1 August 2020 to 31 July 2024 – initiatives implemented by the International Institute of Tropical Agriculture (IITA) and the National Cooperative Business Association (NCBA), Cooperative League of the United States of America (CLUSA) in the Sofala province of Mozambique. Funded by the Austrian Development Agency (ADA), the initiatives aim to improve adaptive capacities to climate change, crop and livestock productivity and access to market, clean energy alternatives, safe water and sanitation facilities, and to reduce poverty among smallholder farmers in three districts of Sofala, namely, Búzi, Caia and Machanga.
DOI: 10.48370/ofd/4iaebg/y5pauw
title: HMW_Salix_x_coriacea_Schleicher_H_3852.jpg

description: :unav
DOI: 10.48370/ofd/4iaebg
title: Salix x coriacea Schleicher, 3852

description: Herbarium
DOI: 10.48370/ofd/cvfktj/5ceuv3
title: HMW_Salix_x_coriacea_Schleicher_H_3717.jpg

description: :unav
DOI: 10.48370/ofd/cvfktj
title: Salix x coriacea Schleicher, 3717

description: Herbarium
DOI: 10.23728/fmi-b2share.71483c71055646fb8389144c6db6a18e
title: Airborne albedo observations from the SNORTEX campaign

description: These files contain airborne measurements of surface albedo and leaf area index of snow-covered boreal forest, taken during the SNORTEX campaigns of 2008-2010 in Finnish Lapland (near Sodankylä). Files contain geolocation and flight altitude information, calibrated radiative flux measurements, and derived albedo and leaf area index estimates. Use of the albedo data requires citation of the following reference: Terhikki Manninen, Jean-Louis Roujean, Olivier Hautecoeur, Aku Riihelä, Panu Lahtinen, Emmihenna Jääskeläinen, Niilo Siljamo, Kati Anttila, Timo Sukuvaara and Lauri Korhonen, ”Airborne measurements of surface albedo and leaf area index of snow-covered boreal forest”, Journal of Geophysical Research Atmospheres. Use of the LAI data requires citation of the following reference: Terhikki Manninen, Lauri Korhonen, Pekka Voipio, Panu Lahtinen and Pauline Stenberg (2011), “Airborne estimation of boreal forest LAI in winter conditions: A test using summer and winter ground truth”, IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, No.1, pp- 68-74, 10.1109/TGRS.2011.2173939.
DOI: 10.48370/ofd/6yqtov/45c12b
title: HMW_Salix_viminalis_L._H_8076.jpg

description: :unav
DOI: 10.48370/ofd/6yqtov
title: Wierzba wiciowa (Salix viminalis L.), 8076

description: Herbarium