cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7525087
title: Quartet of familiar males – 17q21.31 Del mouse strain – 2 WT + 2 Del/+ - M2

description: We monitored the individual and social behaviours of each quartet of mice over three days and nights in the Live Mouse Tracker system (LMT, plugin 931; de Chaumont et al. 2019 Nat. Biomed. Engin.). This system tracks individually mice living in a group over several days and nights and extracts automatically the number, total duration and mean duration of more than thirty behavioural events describing the posture of the mouse, the types of social contacts, the dynamic social approach and escapes and complex social groupings (see de Chaumont et al. 2019 Nat. Biomed. Engin.). In this system, the four mice (10-14 weeks of age; 2 WT mice and 2 Del/+ mice) from the same housing cage (housed together from weaning on) were left undisturbed for 71 hours in a large transparent Plexiglas cage (50 x 50 x 40 cm), with fresh bedding, a house (width: 100 mm, depth: 75 mm, height: 40 mm) in red Plexiglas, 6 dental cotton rolls as well as food and water ad libitum. Light/dark cycle and temperature conditions were similar to those of the housing room (12/12h light/dark, lights on at 07:00 AM, 100 lux when the lights were on). Each recording session started between 03:00 and 04:00 PM. At the end of the session, mice were placed back in their home cage and the LMT setup was cleaned with soap water and dried with paper towels. The upload includes the sqlite database from LMT (processed).
DOI: 10.5281/zenodo.7409235
title: Raw research data supporting "Assembly of fillable microrobotic systems by microfluidic loading with dip sealing"

description: Raw research data supporting Sun, R., Song, X., et al., "Assembly of fillable microrobotic systems by microfluidic loading with dip sealing." Advanced Materials. DOI: 10.1002/adma.202207791.
DOI: 10.5281/zenodo.7409234
title: Raw research data supporting "Assembly of fillable microrobotic systems by microfluidic loading with dip sealing"

description: Raw research data supporting Sun, R., Song, X., et al., "Assembly of fillable microrobotic systems by microfluidic loading with dip sealing." Advanced Materials. DOI: 10.1002/adma.202207791.
DOI: 10.21223/nrowhq/aw7ldo
title: 02_Data_Surveillance_pmp.tab

description: :unav
DOI: 10.21223/nrowhq/ogxgpw
title: 01_Data_Surveillance_of_the_potato_psyllid.tab

description: :unav
DOI: 10.21223/nrowhq/ellysg
title: 03_Data_dictionary_Surveillance_of_the_potato.tab

description: :unav
DOI: 10.5445/ir/1000154215
title: Disclosing the Leaching Behaviour of Pd@CMK3 catalysts in Formic Acid Decomposition by Electron Tomography

description: Supported nanocatalysts exhibit different performance in batch and fixed bed reactors for a wide range of liquid phase catalytic reactions due to differences in metal leaching. To investigate this leaching process and its influence on the catalytic performance, a quantitative 3D characterization of the particle size and the particle distribution is important to follow the structural evolution of the active metal catalysts supported on porous materials during the reaction. In this work, electron tomography has been applied to uncover leaching and redeposition of a Pd@CMK3 catalyst during formic acid decomposition in batch and fixed bed reactors. The 3D distribution of Pd NPs on the mesoporous carbon CMK3 has been determined by a quantitative tomographic analysis and the determined structural changes are correlated with the observed differences in activity and stability of formic acid decomposition using batch and fixed bed reactors.
DOI: 10.5445/ir/1000154295
title: Synergy of cations in high entropy oxide lithium ion battery anode

description: High entropy oxides (HEOs) with chemically disordered multi-cation structure attract intensive interest as negative electrode materials for battery applications. The outstanding electrochemical performance is attributed to the high-entropy stabilization and so-called ‘cocktail effect’. However, the configurational entropy is insufficient to drive the structural reversibility of the room-temperature thermodynamically metastable HEO during conversion-type battery reaction, and the ‘cocktail effect’ has not been explained thus far. This work unveils the multi-cations synergy of the HEO Mg0.2Co0.2Ni0.2Cu0.2Zn0.2O at atomic and nanoscale during electrochemical reaction and explains the ‘cocktail effect’. The more electronegative elements form an electrochemically inert 3-dimensional metallic nano-network enabling electron transport. The electrochemical inactive cation stabilizes an oxide nanophase, which is semi-coherent with the metallic phase and accommodates Li+ ions. This self-assembled nanostructure enables stable cycling of micron-sized particles, which bypasses the need for nanoscale pre-modification required for conventional metal oxides in battery applications. This demonstrates elemental diversity is the key for optimizing multi-cation electrode materials.
DOI: 10.5281/zenodo.7457742
title: MPIData: MPS transfer function

description: This data repository contains magnetic particle imaging data. The example file is stored in the MDF file format and the transfer function files are stored in the .s1p file format. The data is used in this code example: https://github.com/IBIResearch/MPSTransferFunction
DOI: 10.5281/zenodo.7457743
title: MPIData: MPS transfer function

description: This data repository contains magnetic particle imaging data. The example file is stored in the MDF file format and the transfer function files are stored in the .s1p file format. The data is used in this code example: https://github.com/IBIResearch/MPSTransferFunction
DOI: 10.17031/63bec13ae6540
title: Celtic Sea CPR data

description: Excel file containing CPR data from 2003 to 2020 for the Celtic Sea area. File contains taxa list (with information on aphia id, CPR name, WORMS name, and classifications of large zoo, small zoo, copepod, diatoms and dinoflagellates). Each group is included as a separate excel sheet. Each sheet contains sample level data (each sample being 1 row, equating to approx. 10 nautical miles of tow, 3m3 of filtered seawater), for specified taxa. For each taxa, NaN values in cells indicate taxon was not counted (ie not looked for), values indicate abundance (according to standard CPR methodology, see Richardson et al. 2006, Prog in Oceanog 68. 27-74), values of 0.0000000001 indicate presence only, zero values are absence of taxon. The excel file consists of samples in rows, with the following information in columns - A: sample id B:midpoint of sample latitude in decimal degrees C:midpoint of sample longitude in decimal degrees D:midpoint of sample local date and time E:sample year F: sample month G-:taxa.
DOI: 10.5281/zenodo.7489143
title: Omnitrap MS2 and MS3 data of Herceptin

description: All data were acquired in a Q Exactive Plus Orbitrap MS equipped with the Omnitrap platform. Ions were produced by nanoESI using pulled borosilicate glass-coated emitters. The analysis of intact Herceptin was performed using a combination of fragmentation techniques. Mass selection of 49+ charge state at MS2 level was performed using the quadrupole mass filter of the Q Exactive Plus, while MS2 isolation of 25+ charge state and MS3 level isolation were performed in the Omnitrap platform. Orbitrap resolution was set to 240,000, CID activation time was 10 ms and Electron capture dissociation (ECD) was performed with ~0 eV electrons. All experiments were performed with intact non-reduced Herceptin in positive ion mode. Herceptin stock solution was diluted to a final concentration of 5 uM in a) 100 mM ammonium acetate for experiments with 25+ charge state and in b) 50:50:0.1 ACN:H2O:FA for experiments with 49+ charge state.
DOI: 10.5281/zenodo.7489142
title: Omnitrap MS2 and MS3 data of Herceptin

description: All data were acquired in a Q Exactive Plus Orbitrap MS equipped with the Omnitrap platform. Ions were produced by nanoESI using pulled borosilicate glass-coated emitters. The analysis of intact Herceptin was performed using a combination of fragmentation techniques. Mass selection of 49+ charge state at MS2 level was performed using the quadrupole mass filter of the Q Exactive Plus, while MS2 isolation of 25+ charge state and MS3 level isolation were performed in the Omnitrap platform. Orbitrap resolution was set to 240,000, CID activation time was 10 ms and Electron capture dissociation (ECD) was performed with ~0 eV electrons. All experiments were performed with intact non-reduced Herceptin in positive ion mode. Herceptin stock solution was diluted to a final concentration of 5 uM in a) 100 mM ammonium acetate for experiments with 25+ charge state and in b) 50:50:0.1 ACN:H2O:FA for experiments with 49+ charge state.
DOI: 10.5517/ccdc.csd.cc26rmzl
title: CCDC 2048510: Experimental Crystal Structure Determination

description: Related Article: Fei Zhang, So Yeon Park, Canglang Yao, Haipeng Lu, Sean P. Dunfield, Chuanxiao Xiao, Soňa Uličná, Xiaoming Zhao, Linze Du Hill, Xihan Chen, Xiaoming Wang, Laura E. Mundt, Kevin H. Stone, Laura T. Schelhas, Glenn Teeter, Sean Parkin, Erin L. Ratcliff, Yueh-Lin Loo, Joseph J. Berry, Matthew C. Beard, Yanfa Yan, Bryon W. Larson, Kai Zhu|2021|Science|375|71|doi:10.1126/science.abj2637
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7413842
title: On the expanding universe

description: In the depths of the universe, galaxies are moving away from us and from each other in all directions, and the farther they are from each other, the faster they escape. Observational and mathematical evidence also indicates existence of a kind of fundamental energy (which the scientific community calls it dark energy) that causes the accelerated and internal expansion1 of the fabric of space-time and as a result increases the metric distance of cosmic systems from each other. New findings show that one of the most prominent features of dark energy is the constancy of dark energy density in all regions of the universe. Despite the scientific community's awareness of the uniform distribution of dark energy in the universe, the uniform distribution of dark energy in nature and the reason for it are still unknown .
DOI: 10.5281/zenodo.7413841
title: On the expanding universe

description: In the depths of the universe, galaxies are moving away from us and from each other in all directions, and the farther they are from each other, the faster they escape. Observational and mathematical evidence also indicates existence of a kind of fundamental energy (which the scientific community calls it dark energy) that causes the accelerated and internal expansion1 of the fabric of space-time and as a result increases the metric distance of cosmic systems from each other. New findings show that one of the most prominent features of dark energy is the constancy of dark energy density in all regions of the universe. Despite the scientific community's awareness of the uniform distribution of dark energy in the universe, the uniform distribution of dark energy in nature and the reason for it are still unknown .
DOI: 10.35078/i6eaxs
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Caratinga| Município: Ouro Branco

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.5281/zenodo.7224690
title: Fruit Quality Datasets (FruQ-DB)

description: FruQ-DB is a dataset containing 11 varieties of fruits images. These images were created from YouTube fruit time-lapse videos (see link to the videos below). The FruQ-DB database consist of image frames from fruits such as banana, cucumber, grape, kaki, papaya, peach, pear, pepper, strawberry, tomatoes, and watermelon. A total number of 5647 preprocessed images with de-watermarked and resized (224x224). Three classes of fruit quality with number of image samples per class is summarized below: Fresh (2182 images) Mild (1364 images) Rotten (2101 images) Another datasets is uploaded FruQ-Multi is another folder containing each types of fruits and their classes. Links to the YouTube videos for the different fruit time elapse are: <strong>Avocado </strong><strong>https://www.youtube.com/watch?v=FeQehUXZYPk</strong> <strong>Banana </strong><strong>https://www.youtube.com/watch?v=OmcXo9XC6Uc</strong> <strong>Cucumber </strong><strong>https://www.youtube.com/watch?v=UMnevucxOug</strong> <strong>Kaki (persimmon) </strong><strong>https://www.youtube.com/watch?v=xE0Pw7jeOBo</strong> <strong>Papaya </strong><strong>https://www.youtube.com/watch?v=M8scWymSp2Y</strong> <strong>Peach </strong><strong>https://www.youtube.com/watch?v=g9pf19wk0-E&t=367s</strong> <strong>Pepper </strong><strong>https://www.youtube.com/watch?v=H0Sd6Foaepk</strong> <strong>Strawberry </strong><strong>https://www.youtube.com/watch?v=UMnevucxOug</strong> <strong>Tomato </strong><strong>https://www.youtube.com/watch?v=6xEcoU1vAZk</strong> <strong>Watermelon </strong><strong>https://www.youtube.com/watch?v=S12zZhdOckc</strong>
DOI: 10.5281/zenodo.7224689
title: Fruit Quality Datasets (FruQ-DB)

description: FruQ-DB is a dataset containing 11 varieties of fruits images. These images were created from YouTube fruit time-lapse videos (see link to the videos below). The FruQ-DB database consist of image frames from fruits such as banana, cucumber, grape, kaki, papaya, peach, pear, pepper, strawberry, tomatoes, and watermelon. A total number of 5647 preprocessed images with de-watermarked and resized (224x224). Three classes of fruit quality with number of image samples per class is summarized below: Fresh (2182 images) Mild (1364 images) Rotten (2101 images) Another datasets is uploaded FruQ-Multi is another folder containing each types of fruits and their classes. Links to the YouTube videos for the different fruit time elapse are: <strong>Avocado </strong><strong>https://www.youtube.com/watch?v=FeQehUXZYPk</strong> <strong>Banana </strong><strong>https://www.youtube.com/watch?v=OmcXo9XC6Uc</strong> <strong>Cucumber </strong><strong>https://www.youtube.com/watch?v=UMnevucxOug</strong> <strong>Kaki (persimmon) </strong><strong>https://www.youtube.com/watch?v=xE0Pw7jeOBo</strong> <strong>Papaya </strong><strong>https://www.youtube.com/watch?v=M8scWymSp2Y</strong> <strong>Peach </strong><strong>https://www.youtube.com/watch?v=g9pf19wk0-E&t=367s</strong> <strong>Pepper </strong><strong>https://www.youtube.com/watch?v=H0Sd6Foaepk</strong> <strong>Strawberry </strong><strong>https://www.youtube.com/watch?v=UMnevucxOug</strong> <strong>Tomato </strong><strong>https://www.youtube.com/watch?v=6xEcoU1vAZk</strong> <strong>Watermelon </strong><strong>https://www.youtube.com/watch?v=S12zZhdOckc</strong>
DOI: 10.5281/zenodo.4739682
title: COVID-19 Thermal Face & Cough Dataset

description: If you use this dataset please cite: R. J. Ward <em>et al</em>., "FluNet: An AI-Enabled Influenza-like Warning System," in <em>IEEE Sensors Journal</em>, doi: 10.1109/JSEN.2021.3113467. This repository contains two datasets. The thermal face dataset contains images of twenty participants in the thermal domain with and without a face mask and at several approximate facial rotations (-90, -45, 0, +45, +90) degrees as well as looking downwards towards a mobile phone. This dataset has 261 images in total. The cough dataset consists of 53,471 seconds of background noise samples. 1,557 seconds of cough sounds and 40,856 of augmented coughs with random background sounds at a random volume ratio. Among other things, these datasets can be used to train machine learning models to help predict potentially symptomatic COVID-19 cases.
DOI: 10.5281/zenodo.4739681
title: COVID-19 Thermal Face & Cough Dataset

description: If you use this dataset please cite: R. J. Ward <em>et al</em>., "FluNet: An AI-Enabled Influenza-like Warning System," in <em>IEEE Sensors Journal</em>, doi: 10.1109/JSEN.2021.3113467. This repository contains two datasets. The thermal face dataset contains images of twenty participants in the thermal domain with and without a face mask and at several approximate facial rotations (-90, -45, 0, +45, +90) degrees as well as looking downwards towards a mobile phone. This dataset has 261 images in total. The cough dataset consists of 53,471 seconds of background noise samples. 1,557 seconds of cough sounds and 40,856 of augmented coughs with random background sounds at a random volume ratio. Among other things, these datasets can be used to train machine learning models to help predict potentially symptomatic COVID-19 cases.
DOI: 10.5281/zenodo.4563068
title: Alluvial terraces and contaminant sources of the Santa Catarina River in the Monterrey Metropolitan Area, Mexico

description: This is the material and data needed to reproduce the main map in the publication "Alluvial terraces and contaminant sources of the Santa Catarina River in the Monterrey Metropolitan Area, Mexico" of Journal of Maps, with ID: TJOM-2020-030.
DOI: 10.5281/zenodo.4563067
title: Alluvial terraces and contaminant sources of the Santa Catarina River in the Monterrey Metropolitan Area, Mexico

description: This is the material and data needed to reproduce the main map in the publication "Alluvial terraces and contaminant sources of the Santa Catarina River in the Monterrey Metropolitan Area, Mexico" of Journal of Maps, with ID: TJOM-2020-030.
DOI: 10.5281/zenodo.4557192
title: Unmanned Aerial Vehicle (UAV) data acquired over a subtropical forest area of the UFSM campus Frederico Westphalen, at February 18, 2021, Rio Grande do Sul, Brazil

description: Title: Unmanned Aerial Vehicle (UAV) data acquired over a subtropical forest area of the UFSM campus Frederico Westphalen, on February 18, 2021, Rio Grande do Sul, Brazil Data description: The data were acquired from an aerial survey conducted with an Unmanned Aerial Vehicle (UAV, also <em>Drone</em>) covering a forest area of the Federal University of Santa Maria – UFSM in the municipality of Frederico Westphalen, in the Rio Grande do Sul, Brazil (Figure 1). The climate of the region is subtropical (Cfa in the Köppen-Geiger classification) with an average annual temperature of 18 °C and annual precipitation of 1919 mm (Alvares et al., 2013). The rainfall is well distributed throughout the year. Figure 1. Location of the site of data acquisition. Based on Google Earth Pro scenes. The KML and KMZ are appended to the files. UAV and camera settings for the acquisition (Specifications Table): Parameters Specification/value Date (YYYYMMDD): 20210218 Time of day (BRT = -3) 10:30 h a.m. UAV – Drone - Camera Matrice 100 (X3 and Sequoia Parrot – Multispectral and RGB) Fly high (meters above ground) 250 m View angle 90° automatic mode. Sky conditions ( x ) Clear sky ( ) Low cloud coverage (some clouds) ( ) Completely cloudy Wind condition ( x ) no wind ( ) Low speed ( ) High-speed wind Approximate data acquisition duration 30 minutes Total of photographs acquired X3 215; Sequoia Multi 1776+1236; Sequoia RGB 444+309 Across track coverage 80% Cross-track coverage 80% Fly planning software Pix4D Capture (₢) For more information contact: Fábio Marcelo Breunig, breunig@ufsm.br An example of the mosaic is showed below (Figure 2), referring to a screen capture of Agisoft Metashape (Agisoft LLC, 11 Degtyarniy per., St. Petersburg, Russia, 191144) and, the workflow adopted. Figure 2. The capture of an orthomosaic and processing workflow of X3 camera. References to the main project/publications: Breunig, Fabio Marcelo. CONESAT – Monitoring the CONESUL using remote sensing data. Project. Federal University of Santa Maria, Campus of Frederico Westphalen. Brazil. Available at: &lt;https://www.researchgate.net/project/CONESAT-Monitoring-the-CONESUL-using-remote-sensing-data&gt;. Breunig, Fabio Marcelo. Integration of multiscale remote sensing data in the precision agriculture and silviculture (in Portuguese: Integração de dados multiescala de sensoriamento remoto na agricultura e silvicultura de precisão). Project. National Council for Scientific and Technological Development (CNPq). Grant 113769/2018-0 Breunig, Fabio Marcelo. Combination of UAV, PlanetScope, Landsat and Sentinel-2 images to precision silviculture and agriculture in a subtropical region (in Portuguese: Combinação de imagens de VANT, PlanetScope, Landsat e Sentinal-2 para a silvicultura e agricultura de precisão em uma região subtropical). Project of the National Council for Scientific and Technological Development (CNPq). Grant 305084/2020-8
DOI: 10.5281/zenodo.4461395
title: DICOM images of abdomen CT phantom in axial, helicoid, iterative and dual energy scans.

description: The two ZIP files contain the images of a CT phantom of abdomen. DualEnergy.zip contains files of acquisition at 80 kVp and 140 kVp. The second file HelicalAxialIterative.zip contains acquisition done in axial, helicoidal (aka spiral) and iterative reconstruction (Saphire) modes. Axial images have AbdSeq in the name, Helicoidal have Abdomen and B in the filter name, Iterative have Abdomen and I in the filter name. You can compare Exposure in mAs for each acquisition modality, how it diminishes from sequential/helicoidal/axial through helicoidal/spiral to iterative. This scanner if programmed with iterative acquisition can still reduce exposure from helicoidal scan. The acquisition was done on Siemens-Healthineers Somatom Confidence CT scanner. Antonio Ortiz Lora antonio.ortiz.lora.sspa@juntadeandalucia.es Marcin Balcerzyk mbalcerzyk@us.es