cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3620865
title: Dataset for WP6 KPI evaluation

description: Performance of all WP6 use cases was evaluated through KPIs which were defined (together with the methodology) in the beginning of the InterFlex project. The detail definition of WP6 KPIs is included in deliverable D6.1 Design of solution as KPI annex. Following KPIs for WP6 were defined:<br> 1. KPI6_1: Increasing DER hosting capacity 2. KPI6_2: Power quality (according to the standard EN 50160)3. KPI6_ 3: EV charging stations load curtailment in emergency situations 4. KPI6_4: PV production peak shaving <br> Dataset for each KPI evaluation is included in list of this excel sheet.<br> KPI evaluation conclusionAll expectations in terms of WP6 KPIs were fulfilled. Based on KPIs evaluation it is obvious that WP6 solutions are very promising to increase the DER hosting capacity and control EV charging. KPI evaluation for WP6 is an important input for Scalability and Replicability Analysis and for Cost Benefit Analysis which are further key inputs for the definition of viable business models part of the D6.3 deliverable.
DOI: 10.5281/zenodo.5807552
title: Land use and land cover in China for WRF (Resolution: 500m), 2020

description: WRF使用的中国2020年下垫面数据。
DOI: 10.5281/zenodo.4596782
title: FGDG application for soil amelieration in China

description: Flue gas desulfurization gypsum (FGDG), a byproduct from coal-fired power plants, is widely used to ameliorate saline-sodic soils. This dataset contains 2658 pairs of data points of soil quality and plant productivity with and without FGDG application from 59 locations across China.
DOI: 10.5281/zenodo.162233
title: Cheese Bacteria Genomes

description: Annotated complete genomes from cheese-associated bacteria, used for analysis in Bonham et. al. <em>Extensive Horizontal Gene Transfer in Cheese-Associated Bacteria</em> http://dx.doi.org/10.1101/079137

Includes many previously published genomes, including those from Almeida et. al. <em>BMJ Genomics </em>2014
DOI: 10.5281/zenodo.2224273
title: TLS Handshake Data Collected By Lumen

description: This dataset contains TLS handshakes collected from Android devices running the privacy-enhancing app called Lumen between 2015 and 2017. It was used to conduct the first study of TLS usage in Android apps at scale, in a paper titled "Studying TLS Usage in Android Apps" published at ACM International Conference on emerging Networking EXperiments and Technologies (CoNEXT) 2017.

It contains anonymized TLS handshake messages (Client Hello, Server Hello), server certificate chains, and general device information and default TLS settings where available.
description: Information on data format and how it can be used can be found on https://haystack.mobi/datasets.
DOI: 10.5281/zenodo.4090944
title: Tibet_AABW

description: data to produce the main figures in "Can the Tibetan Plateau affect the AABW?" can be found at (every case has its own folder in the compressed file)
DOI: 10.5281/zenodo.6023317
title: Cellpose model for Digital Phase Contrast images

description: <strong>Name: </strong>Cellpose model for Digital Phase Contrast images <strong>Data type: </strong>Cellpose model, trained via transfer learning from ‘cyto’ model. <strong>Training Dataset: </strong>Light microscopy (Digital Phase Contrast) and Manual annotations (<em>10.5281/zenodo.5996883</em>) <strong>Training Procedure: </strong>Model was trained using a Cellpose version 0.6.5 with GPU support (NVIDIA GeForce RTX 2080) using default settings as per the Cellpose documentation python -m cellpose --train --dir <em>TRAINING/DATASET/PATH/</em>train --test_dir <em>TRAINING/DATASET/PATH/</em>test --pretrained_model cyto --chan 0 --chan2 0 The model file (MODEL NAME) in this repository is the result of this training. <strong>Prediction Procedure: </strong>Using this model, a label image can be obtained from new unseen images in a given folder with python -m cellpose --dir <em>NEW/DATASET/PATH</em> --pretrained_model <em>FULL_MODEL_PATH</em> --chan 0 --chan2 0 --save_tif --no_npy
DOI: 10.5281/zenodo.1571008
title: Statistical analysis of the efficacy of the decontamination treatment

description: This model was developed and applied by the EFSA Working Group on Working Group on the evaluation of substances used to remove microbial contamination from product of animal origin during the preparatory work on the Scientific Opinion ‘Evaluation of the safety and efficacy of the organic acids lactic and acetic acids to reduce microbiological surface contamination on pork carcasses and pork cuts' (see http://doi.org/10.2903/j.efsa.2018.5482).

The code (SAS and R) has been used to evaluate the efficacy of two organic acids, lactic and acetic acid, intended to be used individually by food business operators during processing to reduce microbiological surface contamination on carcasses and cuts from pork. The reduction is expressed as log<sub>10</sub> reduction, i.e. the difference between the means of the log<sub>10</sub> concentrations of control group and treated group and corresponding 95% confidence interval (95% CI) when this information was available.

 

The code may be run using these files:

- data extraction from the file'<em>data_20181010.xlsx</em> '

- References list using the file '<em>references_20180719.xlsx </em>'

- Appraisal scores using the file '<em>Appraisal_20181004.xlsx </em>'
description: EU; txt; amu@efsa.europa.eu
DOI: 10.5281/zenodo.4750956
title: Dataset of paper Spectrum Monitoring of Radio Digital Video Broadcasting Based on an Improved GAN

description: The data and code for the paper are uploaded here. Includes dataset, model and code.
DOI: 10.5281/zenodo.4601555
title: Natural & Ultra-Processed Foods (NUPF) database

description: The Natural & Ultra-Processed Foods (NUPF) database includes 40 images of food stimuli photographed on a grey background. Twenty images depict a natural food item (such as an apple) or lightly processed item (such as cheese) and twenty images depict an ultra-processed item (e.g., a chocolate bar). Ratings were obtained from two sets of participants. The first group (n = 70) rated the stimuli on approachability (approach/avoid), desirability, popularity, and healthiness. The second group (n = 90) rated the same items on valence, arousal, and recognizability. Participant details can be found in Table 1 (which can be found in the NUPFdatabase.zip). Natural foods are typically considered healthier than ultra-processed foods, therefore tentative category labels regarding healthiness are included as well. The NUPF database includes the minimum, maximum, and mean ratings per food item. Also information regarding the weight of the portion, calories per portion, and calorie density (calories per 100 or 1 gram) are included. The NUPFdatabase.zip includes: - 40 High resolution images (divided into healthy and unhealthy categories) - 40 low resolution (websize) images (divided into healthy and unhealthy categories) - Mean ratings on valence, arousal, approach/avoid, desirability, popularity, perceived healthiness, and recognizability - Table 1 with details regarding the raters (i.e., participants who rated the images) - A readme file regarding info about the rating file
DOI: 10.5281/zenodo.848307
title: Learning About Learning: Mining Human Brain Sub-Network Biomarkers From Fmri Data

description: These are coherence matrices originally described in: Dynamic reconfiguration of human brain networks during learning. Bassett DS, Wymbs NF, Porter MA, Mucha PJ, Carlson JM, Grafton ST. Proc Natl Acad Sci U S A. 2011 May 3;108(18):7641-6. doi:10.1073/pnas.1018985108. Epub 2011 Apr 18. Later the matrices were also studied in Cohesive network reconfiguration accompanies extended training. Telesford QK, Ashourvan A, Wymbs NF, Grafton ST, Vettel JM, BassettDS. Hum Brain Mapp. 2017 Sep;38(9):4744-4759. doi: 10.1002/hbm.23699. Epub 2017 Jun 24.
DOI: 10.5281/zenodo.6383707
title: Derivation and analysis of a phase field crystal model for a mixture of active and passive particles

description: Supplementary data for the following manuscript: Michael te Vrugt, Max Philipp Holl, Aron Koch, Raphael Wittkowski, Uwe Thiele, "Derivation and analysis of a phase field crystal model for a mixture of active and passive particles"
description: R.W. is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – WI 4170/3-1.
DOI: 10.5281/zenodo.3551944
title: Dataset for Citation Network Analysis on Quality Cues for Meat Purchases

description: Data are retrieved from two databases permissible to the Vosviewer® software: Scopus and Web of Science. Three sets of Boolean search strings are used to find articles in the databases: (i) [<em>(“certification” AND “meat”) OR (“certification” AND “dairy”)</em>] (ii) [<em>(“credence” AND meat) OR (“experience” AND meat)</em>]<em> </em> <em>(iii) </em>[<em>(“meat” AND “intrinsic”) OR (“meat” AND “extrinsic”) OR (“meat” AND “quality cue”)</em>]. The searches targeted the title, abstract and keywords sections for the Scopus database, and the topic section for the Web of Science database. The search was limited to peer-reviewed articles published in the English language; no timeline restrictions were set for the initial search.
DOI: 10.5281/zenodo.1296284
title: Lexibank/Tls: Clics 2.0

description: Release of this dataset for CLICS 2.0, where it is included.

Data comes from the "Tanzanian Language Survey (TLS)" as hosted at http://www.cbold.ish-lyon.cnrs.fr/Docs/TLSinfo.html and was gathered as part of a lexicostatistical survey of about 100 Tanzanian languages undertaken in the early 1970s by Derek Nurse, Gérard Philippson and a team from the Department of Foreign Languages and Linguistics of the University of Dar es Salaam. The source (paper) documents for these computer files were sets of printed forms, each set containing 1079 entries in parallel columns of Swahili and English. These forms were distributed to native Tanzanians for translation into the target Tanzanian languages.
description: {"references": ["Nurse, Derek and Philippson, G\u00e9rard (1975). The North-East Bantu Languages of Tanzania and Kenya: a Classification.", "Nurse, Derek (1979). Description of sample Bantu languages of Tanzania", "Nurse, Derek and Philippson, G\u00e9rard (1980). The Bantu languages of East Africa : a lexicostatistical survey", "Cushingham, Stanley and Greening, Lawrence and bin Muzaffar, Towhid and Lowe, John and Good, Jeff (1999). Tanzania Language Survey (TLS)"]}
DOI: 10.5281/zenodo.4674525
title: Raw Data for the article: Shear Stress and Aortic Strain Associations With Biomarkers of Ascending Thoracic Aortic Aneurysm

description: <strong>Background: </strong>This study aims to investigate the association of wall shear stress (WSS) and aortic strain with circulating biomarkers including matrix metalloproteinases (MMP), tissue inhibitors of metalloproteinase (TIMP), and exosomal level of microRNA (miRNA) in ascending aortic aneurysms of patients with bicuspid or tricuspid aortic valve. <strong>Methods: </strong>A total of 76 variables from 125 patients with ascending aortic aneurysms were collected from (1) blood plasma to measure plasma levels of miRNAs and protein activity; (2) computational flow analysis to estimate peak systolic WSS and time-average WSS (TAWSS); and (3) imaging analysis of computed tomography angiography to determine aortic wall strain. Principal component analysis followed by logistic regression allowed the development of a predictive model of aortic surgery by combining biomechanical descriptors and biomarkers. <strong>Results: </strong>The protein activity of MMP-1, TIMP-1, and MMP-2 was positively correlated to the systolic WSS and TAWSS observed in the proximal ascending aorta (eg, R = 0.52, P &lt; .001, for MMP-1 with TAWSS) where local maxima of WSS were found. For bicuspid patients, aortic wall strain was associated with miR-26a (R = 0.55, P = .041) and miR-320a (R = 0.69, P &lt; .001), which shows a significant difference between bicuspid and tricuspid patients. Receiver-operating characteristics curves revealed that the combination of WSS, MMP-1, TIMP-1, and MMP-12 is predictive of aortic surgery (area under the curve 0.898). <strong>Conclusions: </strong>Increased flow-based and structural descriptors of ascending aortic aneurysms are associated with high levels of circulating biomarkers, implicating adverse vascular remodeling in the dilated aorta by mechanotransduction. A combination of shear stress and circulating biomarkers has the potential to improve the decision-making process for ascending aortic aneurysms to a highly individualized level.
DOI: 10.5281/zenodo.6389618
title: Young's modulus of rock-forming minerals in HaH346 meteorites

description: HaH346陨石中不同成岩矿物的纳米压痕测试结果存储在EXCEL电子表格中。
DOI: 10.5281/zenodo.3270774
title: Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments [dataset]

description: This dataset is related to "Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments" in IEEE RA-L,2019. Data Capture<br> ========================<br> Data is obtained by manually flying the UAV through the redwood forest environment using a FrSky Taranis (Plus) Digital Telemetry Radio System. In total, 81,674 frames were captured together with the flight behaviour that comprehends flights under and above the forest canopy, navigation inside caves and on river beds, lakes and mountains. Folder Structure<br> ========================<br> |-manual_0 - manual_5: sequences containing training data |-test_0 - sequences containing testing data Data Protection<br> ========================<br> Gathered by simulated flight using Microsoft AirSim (2019) and released in accordance with MSR Aerial Information and Robotics Simulator (AirSim) lisence, which is described in details bellow: The MIT License (MIT) MSR Aerial Informatics and Robotics Platform<br> MSR Aerial Informatics and Robotics Simulator (AirSim)<br> Copyright (c) Microsoft Corporation<br> All rights reserved.<br> MIT License Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the ""Software""), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:<br> The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.<br> THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
description: EPSRC/1750094
DOI: 10.5281/zenodo.842677
title: Publication Data from Koch et al 2017

description: Contains the dataset and the MATLAB toolbox used for Koch et al. (2017) "Atlas registration for edema corrected MRI lesion volume in mouse stroke models" <strong>data_koch_et_al_jcbfm_2017.zip</strong> T2 weighted MRI data in NIFTI format from stroke mice 24 h post surgery. Contains raw data (images before registration, manually delineated hemisphere and lesion masks) and processed data (automatically generated brain mask and an additional version of raw images in registration to the Allen mouse brain atlas). Also contains a copy of some datasets for which slices in the image stack were removed. Includes an excel file describing the group assignment of each mouse (middle cerebral artery occlusion, photothrombosis or sham, full number of slices or partial number of slices) and describing files for each mouse. Histological data (TTC stainings) and corresponding regions of interest in ImageJ format are stored in a separate folder. <strong>Toolbox available at GITHUB (!!note new address compared to original JCBFM publication!!)</strong> https://github.com/ChariteExpMri/antx2 When downloading the toolbox at GITHUB please respect legal issues and carefully read the provided README file.
description: Work was supported by the Federal Ministry of Education and Research (BMBF) (grant number 01EO0801, Center for Stroke Research Berlin) and Deutsche Forschungsgemeinschaft (DFG) (Excellence Cluster NeuroCure, Excellence Cluster BrainLinks-BrainTools).
DOI: 10.5281/zenodo.1308099
title: Marcellus Shale Water And Air Quality Data

description: Data summary for water and air quality of the Marcellus shale
DOI: 10.5281/zenodo.4071867
title: Chemical characterization of PM2.5 and source apportionment of organic aerosol in New Delhi, India

description: Delhi is one of the most polluted cities worldwide and a comprehensive understanding and deeper insight into the air pollution and its sources is of high importance. We report 5 months of highly time-resolved measurements ofnon-refractory PM2.5 and black carbon (BC). Additionally, source apportionment based on positive matrix factorization (PMF) of the organic aerosol (OA) fraction is presented. The highest pollution levels are observed during winter in December/January. During that time, also uniquely high chloride concentrations are measured, which are sometimes even themost dominant NR-species in themorning hours. With increasing temperature, the total PM2.5 concentration decreases steadily, whereas the chloride concentrations decrease sharply. The concentrationsmeasured in May are roughly 6 times lower than in December/January. PMFanalysis resolves two primary factors, namely hydrocarbon-like (traffic-related) OA (HOA) and solid fuel combustion OA (SFCOA), and one or two secondary factors depending on the season. The uncertainties of the PMF analysis are assessed by combining the random a-value approach and the bootstrap resampling technique of the PMF input. The uncertainties for the resolved factors range from ±18% to ±19% for HOA, ±7% to ±19% for SFC-OA and ±6 % to ±11% for the OOAs. The average correlation of HOA with equivalent black carbon from traffic (eBCtr)is R2 = 0.40, while SFC-OA has a correlation of R2 = 0.78 with equivalent black carbon from solid fuel combustion (eBCsf). Anthracene (m/z 178) and pyrene (m/z 202) (PAHs) are mostly explained by SFC-OA and follow its diurnal trend (R2=0.98 and R2=0.97). The secondary oxygenated aerosols are dominant during daytime. The average contribution during the afternoon hours (1 pm–5 pm) is 59% to the total OA mass, with contributions up to 96% in May. In contrast, the primary sources are more important during nighttime: the mean nightly contribution (22 pm–3 am) to the total OA mass is 48%, with contributions up to 88% during some episodes in April. This repository contains the data corresponding to the figures presented in the published main text.
DOI: 10.5281/zenodo.400926
title: Synthetically Spoken Coco

description: Synthetically Spoken COCO

Version 1.0

This dataset contain synthetically generated spoken versions of MS COCO [1] captions. This<br>
dataset was created as part the research reported in [5].<br>
The speech was generated using gTTS [2]. The dataset consists of the following files:

- dataset.json: Captions associated with MS COCO images. This information comes from [3]. <br>
- sentid.txt: List of caption IDs. This file can be used to locate MFCC features of the MP3 files<br>
  in the numpy array stored in dataset.mfcc.npy.<br>
- mp3.tgz: MP3 files with the audio. Each file name corresponds to caption ID in dataset.json<br>
  and in sentid.txt.<br>
- dataset.mfcc.npy: Numpy array with the Mel Frequence Cepstral Coefficients extracted from <br>
  the audio. Each row corresponds to a caption. The order or the captions corresponds to the<br>
  ordering in the file sentid.txt. MFCCs were extracted using [4].

[1] http://mscoco.org/dataset/#overview<br>
[2] https://pypi.python.org/pypi/gTTS<br>
[3] https://github.com/karpathy/neuraltalk<br>
[4] https://github.com/jameslyons/python_speech_features<br>
[5] https://arxiv.org/abs/1702.01991
description: {"references": ["https://arxiv.org/abs/1702.01991"]}
DOI: 10.26093/cds/vizier.36470127
title: The C^+^ ion photofragment spectra

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Photodissociation branching ratios of ^12^C^16^O from 110500 to 113045 cm^-1^: first observation of the C(^1^S) channel.' (bibcode: 2021A&A...647A.127G)
DOI: 10.5281/zenodo.5547805
title: SII acute pancreatitis data

description: 急性胰腺炎 SII
DOI: 10.5281/zenodo.5231759
title: Observed and predicted organic matter data

description: Punctual soil organic matter data observed in the field and predicted with prediction models fitted by Partial Least Squares Multiple Linear Regression - PLS.
DOI: 10.5281/zenodo.1316936
title: Dateset: Capturing The Influence Of Geopolitical Ties From Wikipedia With Reduced Google Matrix

description: This dataset provides complementary material to the scientific research presented in the paper "<strong>Capturing the influence of geopolitical ties from Wikipedia with reduced Google matrix</strong>"<strong>,</strong> accepted for publication in PLOS ONE under number PONE-D-18-07662R1.

A draft version of the paper is available at https://arxiv.org/abs/1803.05336

This paper presents two studies targeting two groups of countries:


	[40] the set 40 worldwide countries set ;
	[EU] the set of 27 European Union countries as of February 2013.


Data is derived using Reduced Google matrix analysis on the Wikipedia English, Arabic, Russian, German and French editions collected in February 2013. Networks representing each edition are available here:

http://www.quantware.ups-tlse.fr/QWLIB/topwikipeople/index.html

The following files are given:


	[GRedured_40.zip] GReduced matrix and its decomposition for [40] countries set
	[GRedured_EU.zip] GReduced matrix and its decomposition for [EU] countries set
	[PageRank_vs_CheiRank.zip] PageRank versus CheiRank figures for RuWiki and ArWiki
	[Sensitivity.xlsx] and [Sensitivity_html.xlsx] Sensitivity values for both [EU] and [RU] in either .xlsx or in .html format
description: {"references": ["https://arxiv.org/abs/1803.05336"]}
DOI: 10.22002/vpvkn-w8x97
title: cryo-FIB INS-1E

description: Overexpressing PIS-GFP
description: <strong>Tilt Series Date:</strong> 2017-01-16</p>
<strong>Data Taken By:</strong> Stephen Carter</p>
<strong>Species / Specimen:</strong> Rat INS-1E pancreatic beta cells</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 120.0 eV/Å²,  defocus: -10.0 μm,  magnification: 18000x. </p>
<strong>Microscope:</strong> None</p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> reupload_downloaded</p>
<strong>Processing Software Used:</strong> IMOD</p>
<strong>Collaborators and Roles:</strong> Zach Freyberg</p>
<strong>Purification / Growth Conditions / Treatment:</strong> https://advances.sciencemag.org/content/6/14/eaay9572/tab-figures-data</p>
<strong>Sample Preparation:</strong> Manual Blotting</p>
description: Files available via S3 at https://renc.osn.xsede.org/ini210004tommorrell/tomography_archive/scd2017-01-16-1</p>tomography6.mrc,  Tilt Series (Pixel Size 6.328 nm), 3.1 GB  
        
<a role="button" class="ui compact mini button" href="https://renc.osn.xsede.org/ini210004tommorrell/tomography_archive/scd2017-01-16-1/rawdata/tomography6.mrc"
        > <i class="download icon"></i> Download </a></p>

        tomography6_full.rec,  Reconstruction (Pixel Size 0.0 nm), 668.2 MB  
        
<a role="button" class="ui compact mini button" href="https://renc.osn.xsede.org/ini210004tommorrell/tomography_archive/scd2017-01-16-1/3dimage_119572/tomography6_full.rec"
        > <i class="download icon"></i> Download </a></p>