cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1175626
title: Quantitative Account Of Social Interactions In A Mental Health Care Ecosystem: Cooperation, Trust And Collective Action

description: Mental disorders have an enormous impact in our society, both in personal terms and in the economic costs associated with their treatment. In order to scale up services and bring down costs, administrations are starting to promote social interactions as key to care provision. We analyze quantitatively the importance of communities for effective mental health care, considering all community members involved. By means of citizen science practices, we have designed a suite of games that allow to probe into different behavioral traits of the role groups of the ecosystem. The evidence reinforces the idea of community social capital, with caregivers and professionals playing a leading role. Yet, the cost of collective action is mainly supported by individuals with a mental condition - which unveils their vulnerability. The results are in general agreement with previous findings but, since we broaden the perspective of previous studies, we are also able to find marked differences in the social behavior of certain groups of mental disorders. We finally point to the conditions under which cooperation among members of the ecosystem is better sustained, suggesting how virtuous cycles of inclusion and participation can be promoted in a ’care in the community’ framework.
DOI: 10.5281/zenodo.847764
title: I/Q Recording For 10 Meters During August 21, 2017 Solar Eclipse At W3Oa

description: I/Q Recording for 10 Meters Amateur Band During August 21, 2017 Solar Eclipse<br>
Recorded by Richard Williams, W3OA<br>
Location was 35 degrees, 34 minutes, 43.55 seconds North; 80 degrees, 56 minutes, 50.80 secondes West<br>
Antenna was an 80 meter dipole 50 feet high<br>
Receiver was a QS1R
DOI: 10.1594/pangaea.945731
title: Sub-bottom profiler data of the northern Lau Basin at ~16° during SONNE cruise SO267

description: The Atlas PARASOUND P70 system was used to acquire high resolution sub-bottom profiler data throughout most of the cruise. Two different waves with frequencies of ~18-20 kHz (primary high frequency, PHF) and a ~22-24 kHz wave were used to create a so-called secondary high (about 40-42 kHz, SHF) and a secondary low frequency (SLF) of about 4 kHz, which is used for the sub-bottom profiling. The opening angle of the transducer array is 4° by 5°, which corresponds to a footprint size of about 7 % of the water depth. Data was acquired along p02 of Sonne cruise SO267 which crosses the northern Fonualei Rift Spreading Centre and the southern Mangatolu Triple Junction about ~16° S.
DOI: 10.5281/zenodo.6141615
title: Data used to create figures and tables in the ACP manuscript "Two-way coupled meteorology and air quality models in Asia: a systematic review and meta-analysis of impacts of aerosol feedbacks on meteorology and air quality" by Gao et al. (2022)

description: This dataset contains the original data that extracted from all collected papers refering applications of two-way coupled models in Asia. It is supplied to the review paper, which titled as "Review on two-way coupled meteorology and air quality models in Asia: impacts of aerosol feedbacks on meteorology and air quality". The dataset includes three excel files (in the format of xlsx) as follows: 1. Basic information of literatures (Table S1.xlsx) 2. Model performance metrics (Table S2.xlsx) 3. Quantitative results of aerosol effects on meteorological and air quality variables (Table S3.xlsx) 4. Basic information of model setup for two-way coupled model applications in Asia (Table S4.xlsx) 5. Summary of aerosol-induced variations of simulated shortwave and longwave radiative forcing at the bottom and top of atmosphere and in the atmosphere in Asia (Table S5.xlsx) .
description: {"references": ["Gao, C., Xiu, A., Zhang, X., Tong, Q., Zhao, H., Zhang, S., Yang, G., and Zhang, M.: Two-way coupled meteorology and air quality models in Asia: a systematic review and meta-analysis of impacts of aerosol feedbacks on meteorology and air quality, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-855, in review, 2021."]}
DOI: 10.5281/zenodo.289793
title: Semeval 2017 Task 3 Subtask E Train Data (Stackexchange)

description: This is the train data that was used for Task 3, Subtask E of the SemEval-2017 Shared Task. More information on the task can be found here: http://alt.qcri.org/semeval2017/task3/
DOI: 10.5281/zenodo.3698297
title: Modelled vegetation structure

description: <b>Description: </b>This dataset contains the model outputs from predictive statistical models of forest structure across the SAFE Landscape based on RapidEye satellite imagery. Three variables were predicted (Above ground biomass (AGB), Forest Cover (FCO) and Leaf Area Index (LAI)) and there are two different models for each variable. The outputs are provided as zipfiles of predictions for each model variant. Each zipfile contains GeoTiff files for 16 RapidEye panes covering the landscape. For each pane, files provide the mean prediction and then high and low confidence intervals. A model summary and validation plots are also provided. All GeoTIFF files are provided as 25 by 25 m resolution in UTM 50N / WGS 84 projection.<br><br>These models are published in the link provided below, and further notes and some postprocessing details are available from https://www.safeproject.net/dokuwiki/safe_data/climate/forest_structure_models.<br><br>The authors thank the European Space Agency for providing RapidEye™ under Category 1 — User Agreement to MP (C1P 13735).<b>Project: </b>This dataset was collected as part of the following SAFE research project: <b>Linking plot and satellite data to model biodiversity response</b><b>Funding: </b>These data were collected as part of research funded by: European Research Council (Research Grant, Ref. 281986, https://cordis.europa.eu/project/id/281986)Sime Darby Foundation (Research Grant)This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.<b>XML metadata: </b>GEMINI compliant metadata for this dataset is available here<b>Files: </b>This dataset consists of 7 files: Modelled_forest_structure.xlsx, AGB_BetaregRad_Full.zip, AGB_BetaregRad_Reduced.zip, FCO_BetaregRad_noMsavi.zip, FCO_BetaregRad_withMsavi.zip, LAI_BetaregRad_noMSAVI.zip, LAI_BetaregRad_withMSAVI.zip<b>Modelled_forest_structure.xlsx</b>This file only contains metadata for the files below<b>AGB_BetaregRad_Full.zip</b>Description: Above Ground Biomass model outputs from full model (more texture components)<b>AGB_BetaregRad_Reduced.zip</b>Description: Above Ground Biomass model outputs with reduced model complexity<b>FCO_BetaregRad_noMsavi.zip</b>Description: Forest cover model outputs<b>FCO_BetaregRad_withMsavi.zip</b>Description: Forest cover model outputs including Modified Soil-Adjusted Vegetation Index<b>LAI_BetaregRad_noMSAVI.zip</b>Description: Leaf Area Index model outputs<b>LAI_BetaregRad_withMSAVI.zip</b>Description: Leaf area index model outputs including Modified Soil-Adjusted Vegetation Index<b>Date range: </b>2010-10-01 to 2020-03-05<b>Latitudinal extent: </b>4.3380 to 4.9982<b>Longitudinal extent: </b>116.5628 to 117.8705
DOI: 10.5281/zenodo.5526673
title: Data: The Role of Urban Trees in Reducing Land Surface Temperatures in European Cities

description: Data on the LST differences between urban fabric, urban trees and urban green spaces for each city and the LST differences between urban fabric, rural forests and rural pastures (for hot days and JJA (June, July and August) average). In addition, estimates of the evapotranspiration of forests and pastures of each city and albedo estimates of urban fabric and forests are provided. The description of the column names is provided in the readme file.
DOI: 10.5281/zenodo.1239679
title: Twitter Archive

description: Twitter archive for data selfie workshop
DOI: 10.5281/zenodo.4077322
title: CFD airfoil simulations

description: Arfoil CFD simulation dataset. Each example has the flow at the back of the airfoil. The ground truth is the drag and lift forces on the airfoil. The aim of this dataset is to compare feature extraction techniques from flow fields for machine learning.
DOI: 10.5281/zenodo.4294792
title: Mental health chabots

description: Data
DOI: 10.5281/zenodo.437545
title: Kepler.Nasa.Gov

description: kepler.nasa.gov was taken offline on March 20, 2017. This is a full site rip I got by doing a recursive wget
DOI: 10.5281/zenodo.48651
title: Lrp Predicts Smooth Pursuit Eye Movement Onset During The Ocular Tracking Of Self-Generated Movements

description: Dataset relative to the following publication:

Chen, J., Valsecchi, M. & Gegenfurtner, K.R. (2016). LRP predicts smooth pursuit eye movement onset during the ocular tracking of self-generated movements. <em>Journal of Neurophysiology, </em>in press

Each folder contains the data relative to one experiment and the script that was used to generate them. Please refer to "Description on data format.txt" for the usage of the data.

Additional information can be deducted from the experimental scripts.
DOI: 10.5281/zenodo.1065115
title: Countwordserror

description: Results from tool executed using PubRunner on MEDLINE corpus. Code for the tool can be found at https://github.com/NCBI-Hackathons/PubRunner/tree/master/server/tools/CountWordsError/0.1
DOI: 10.5281/zenodo.5524264
title: Spine-project/spine-cs-c2:

description: Removed log files and output
DOI: 10.5281/zenodo.571123
title: Wp2 T2.4 Media T04

description: Pilot 1.5 (Multi Cam Showcase) raw footage.
DOI: 10.1594/pangaea.873871
title: (Table 1) Different chemical analysis of two sediment cores sampled in the Shenhu area, South China Sea
DOI: 10.5281/zenodo.161405
title: Open Turbulent Image Set (Otis) Color-Matlab Version

description: This the colored version of the OTIS dataset saved in Matlab format
DOI: 10.5281/zenodo.32793
title: Data For: Variability In Thermal And Phototactic Preferences In Drosophila May Reflect An Adaptive Bet-Hedging Strategy

description: Data and code for "Variability in thermal and phototactic preferences in <em>Drosophila</em> may reflect an adaptive bet-hedging strategy." 

.zip file contains .mats with data, a LabView .vi for the acquisition instrument, and Matlab .m analysis and visualization scripts. 

The included index.html file acts as a readme and contains descriptions of all other files and links.
DOI: 10.5281/zenodo.3996779
title: Cats&Dogs

description: Slice of cats vs dogs dataset, source: https://www.kaggle.com/c/dogs-vs-cats
DOI: 10.5281/zenodo.403459
title: Minion Reads From A Tomato Source: David Eccles' Tedxwellington 2016 Dataset

description: This is a dump of the data (i.e. MinION reads) that were produced during an on-stage sequencing run for the TEDxWellington 2016 conference. The data dump also includes presentation slides, associated videos, and a script of the talk that I gave during the conference.
DOI: 10.5281/zenodo.4422090
title: Experimental measurements of creep deformation of Tournemire shale loaded at specified pressure (10 MPa) and room temperature (26°C)

description: Following the experimental protocol used in (Geng<em> et al.</em>, 2018), we performed the stepping creep experiments at a confining pressure of 10 MPa. We first loaded the samples under hydrostatic conditions up to 10 MPa at a pressure rate of 0.3 MPa/min. Hydrostatic conditions were maintained for ~18 h at 26 °C. Next, differential stress (axial stress minus confining pressure) was increased to a fixed initial stress (30 MPa) and maintained (creep status) for 24 h. The differential stress was repeatedly increased by 5 MPa and maintained for 24 h, until brittle failure. All the experiments were conducted using the triaxial apparatus installed at the Laboratoire de Géologie of ENS-Paris (France). There were few constraints on the natural saturation state of the samples because of their low permeability (10<sup>-19</sup> 10<sup>-21</sup> m<sup>2</sup>). To avoid exposition redundancy, an additional description of the technical performance of the triaxial apparatus can be referred to (Brantut<em> et al.</em>, 2011, Sarout & Guéguen, 2008). Compressive stresses and compactive strains are denoted as positive. Axial creep deformation was measured using three capacitive gap sensors that externally monitored the overall axial displacement of the piston during creep deformation. Volumetric strain during creep was estimated by adding the average of axial strains (axial displacement of the piston divided by the sample length) and two average radial strains measured by four radial strain gauges glued uniformly around the cylindrical rock surface. As the deformation rate generally stabilized during the last 8 h in most creep periods (Geng<em> et al.</em>, 2018), we estimated the average axial strain rate over the last 8 h of each step to characterize the creep strain rate under the corresponding axial loading stress. More technical details of the sample configuration and creep rates estimation can be found in (Geng<em> et al.</em>, 2018).
description: The original version of dataset is used for review purposes of an article entitled "Pressure solution compaction during creep deformation of Tournemire shale: implications for temporal sealing in shales".
description: {"references": ["Geng, Z., Bonnelye, A., Chen, M., Jin, Y., Dick, P., David, C., Fang, X. & Schubnel, A. (2018). Time and Temperature Dependent Creep in Tournemire shale. Journal of Geophysical Research: Solid Earth 123, 9658-9675.", "Brantut, N., Schubnel, A. & Gu\u00e9guen, Y. (2011). Damage and rupture dynamics at the brittle\u2010ductile transition: The case of gypsum. Journal of Geophysical Research: Solid Earth (1978\u20132012) 116.", "Sarout, J. & Gu\u00e9guen, Y. (2008). Anisotropy of elastic wave velocities in deformed shales: Part 1\u2014Experimental results. Geophysics 73, D75-D89."]}
DOI: 10.1594/pangaea.950409
title: Methane concentrations of sediment core GeoB16421-1 from the Japan Trench

description: Shallow sediment cores were collected with gravity cores from sites in the Japan Trench during cruise SO219A with R/V SONNE. In order to determine ex-situ concentrations of methane dissolved in pore water, sediment samples were taken from the sediment cores with cut-off syringes and transferred into glass vials. Methane concentrations in the headspace gas were used to calculate concentrations of methane dissolved in pore water (uncorrected for sediment porosity and Bunsen coefficient).
DOI: 10.5281/zenodo.5068252
title: twitter Dataset

description: The WE1S <code>twitter</code> dataset contains 5,024,756 tweets posted to Twitter between December 6th, 2013 and June 30th, 2019. The dataset is divided into subcollections based on the query terms "humanities", "liberal arts", "stem", "science", and "science-es" (that is a query for the presence of either "science" or "sciences"). Subcollections can be identified in the dataset from the value of the <code>metapath</code> property. The number of tweets in each subcollections is as follows: humanities: 1,705,038 liberal-arts: 7,663 stem: 865,156 science: 2,089,985 science-es: 356,914 The tweets are distributed over the following date range: 2013: 16,335 2014: 862,746 2015: 1,711,823 2016: 947,561 2017: 976,971 2018: 3,24,133 2019: 185,187 Collectively, the tweets represent the work of 1,886,739 distinct usernames. Each tweet's mentions, hashtags, and links are recorded, as well the number of likes and retweets. Unlike most other WE1S datasets, the Twitter dataset does not contain extracted features. Instead, it contains the original text of the tweet (the value of the <code>content</code> property, along with a <code>tidy_tweet</code> property, which contains the text of the tweet after preprocessing. Tweets were preprocessed using a modified form of the WE1S preprocessing algorithm. Details can be found in the WE1S Tweet-Suite repository. <em>(See WE1S Research Materials Overview for the relation between the project's "datasets" and "collections.")</em>
description: The data has been archived in jsonl format (each json document is delimited by a line break).
DOI: 10.5281/zenodo.61206
title: Zenodo Initial Manuscript Release - Small Fix

description: Same as the last release, but with Figure 4 simulations fixed to ensure true periodic excitation
DOI: 10.1594/pangaea.921847
title: Monthly surface solar radiation data over China (2000-2017) by merging satellite cloud and aerosol data with ground-based sunshine duration data

description: Surface incident solar radiation (Rs) is a key component of the surface radiation budget. It drives the global climate system and impacts the global energy balance and the hydrological and carbon cycles. Great progress has been made in the detection of variations in surface solar radiation (Rs) from meteorological observations, satellite retrieval and reanalysis. However, each type of estimation has its advantages and disadvantages. It has been shown that sunshine duration (SunDu)-derived Rs data can provide reliable long-term Rs variation over China; however, these data are spatially discontinuous. Therefore, we merged SunDu-derived Rs data with satellite-derived cloud fraction (MODAL2 M CLD) and CERES SYN aerosol optical depth (AOD) data to generate Rs data by the geographically weighted regression method. This dataset provides the monthly Rs from 2000 to 2017 over China with the spatial resolution of 0.1°.
DOI: 10.5281/zenodo.1175627
title: Quantitative Account Of Social Interactions In A Mental Health Care Ecosystem: Cooperation, Trust And Collective Action

description: Mental disorders have an enormous impact in our society, both in personal terms and in the economic costs associated with their treatment. In order to scale up services and bring down costs, administrations are starting to promote social interactions as key to care provision. We analyze quantitatively the importance of communities for effective mental health care, considering all community members involved. By means of citizen science practices, we have designed a suite of games that allow to probe into different behavioral traits of the role groups of the ecosystem. The evidence reinforces the idea of community social capital, with caregivers and professionals playing a leading role. Yet, the cost of collective action is mainly supported by individuals with a mental condition - which unveils their vulnerability. The results are in general agreement with previous findings but, since we broaden the perspective of previous studies, we are also able to find marked differences in the social behavior of certain groups of mental disorders. We finally point to the conditions under which cooperation among members of the ecosystem is better sustained, suggesting how virtuous cycles of inclusion and participation can be promoted in a ’care in the community’ framework.
DOI: 10.5281/zenodo.574000
title: Michigan Synthetic Ecosystem

description: Michigan synthetic population dataset consisting of tables for persons, households, schools, and workplaces.  This dataset was created by the SPEW program from 2010 ACS SF 5-Year counts;  2010 US TIGER Roads; ACS PUMS 1-Year micro data; 2013 and 2011 NCES schools; and 2009 ESRI workplaces.
DOI: 10.5281/zenodo.10251
title: Datensätze Aus Dem Katalog Der Universitäts- Und Stadtbibliothek Köln

description: Dieses Paket enthält bibliographische Daten aus dem Katalog der Universitäts- und Stadtbibliothek Köln in den Formaten MODS, RDF/XML und im Apache-Solr-Add-Format.

Die Daten wurden zum Test des im Projekt aufgebauten Systems erzeugt und haben den Stand vom 28.06.2012. Die Daten der USB Köln stehen als Open Data zur Verfügung.

Die Daten wurden mit den im Projekt ArcheoInf entwickelten Werkzeugen erzeugt. Die Werkzeuge sind auf GitHub unter https://github.com/ArcheoInf/bibdata abgelegt.
DOI: 10.5281/zenodo.4738590
title: Comparing aggregation strategies in a real-life music group recommendation scenario

description: Dataset belong to the "Comparing aggregation strategies in a real-life music group recommendation scenario" paper
DOI: 10.5281/zenodo.7708984
title: Defectors: A Large Scale Python Dataset for Defect Prediction

description: Defect prediction has been a major research problem in the software engineering domain for the last five decades.<br> In recent years, large deep-learning models have shifted the performance of software engineering tasks to new limits and are gaining usage in defect prediction.<br> However, these defect prediction models are often limited by the quality of their datasets, which are not large or diverse enough.<br> In this paper, we present Defectors, a large dataset for both line-level and just-in-time defect prediction.<br> Defectors consist of $\approx$ 213K source code files ($\approx$ 93K defective and $\approx$ 120K defect-free files) from 25 popular python projects from various domains and organizations.<br> These projects come from a diverse set of domains including machine learning, automation, and internet-of-things.<br> Such a scale and diversity make Defectors a suitable dataset for deep learning models, especially transformer models that require large and diverse datasets to effectively generalize defect-inducing patterns to predict future defects. Dataset Description File Name Description defectors.zip The original Dataset. Find its description in Section II of the paper. bug_inducing_commits.zip Each yaml file contains a map of bugfix commits to bug-inducing commits. filtered_bug_inducing_commits.yaml A map in structure {repo_name: {bug_inducing_commits: [list of python files in the commit]}}. This file only contains the bug-inducing commits that match the filtering criteria from Section III.D. repo_links.yaml Links to the repositories we used to construct the dataset.
DOI: 10.5281/zenodo.3362613
title: AEEEM-JIRA-PROMISE

description: A total of 22 software defect datasets with format ARFF. AEEEM was collected by D’Ambros et al. [1], PROMISE was prepared by Jureczko and Madeyski [2], and JIRA is a new repository of highly-curated defect datasets collected by Yatish et al. [3]. [1] M. D’Ambros, M. Lanza, and R. Robbes, “Evaluating defect prediction approaches: A benchmark and an extensive comparison,”Empirical Softw. Engg., vol. 17, no. 4-5, pp. 531–577, Aug. 2012. [2] M. Jureczko and L. Madeyski, “Towards identifying software project clusters with regard to defect prediction,” in Proceedings of the 6th International Conference on Predictive Models in Software Engineering, ser. PROMISE ’10. New York, NY, USA: ACM, 2010, pp. 9:1–9:10. [3] S. Yatish, J. Jiarpakdee, P. Thongtanunam, and C. Tantithamthavorn,“Mining software defects: Should we consider affected releases?” in The International Conference on Software Engineering (ICSE), 2019.
DOI: 10.5281/zenodo.1239680
title: Twitter Archive

description: Twitter archive for data selfie workshop
DOI: 10.5281/zenodo.60138
title: Sulfo-Smcc Prevents Annealing Of Taxol-Stabilized Microtubules In Vitro

description: ​The data consists of raw images analyzed for the paper 'Sulfo-SMCC Prevents Annealing of Taxol-Stabilized Microtubules In Vitro'.


	For all files: different data sets are indicated by using prefix A, 2A , 3A for untreated microtubules, and prefix B, 2B, 3B for sulfo-SMCC treated microtubules.
	Filenames that include time points of 0 h, 6 h, or 24 h show images of treated and untreated microtubules at different time points. This data was used for Fig 1 in the paper.
	The files with prefix 'dual' refer to data from dual colored experiments. Microtubules were labeled with green dye (488 in filenames) and red dye (TMR in filenames). This data was used for Fig 2 in the paper.
	The files with prefix 'chemical' are from one experiment with different chemical treatments on MTs. This data was used for Fig 3 in the paper.
DOI: 10.5281/zenodo.60375
title: Vb100

description: VB100 Bird Dataset (video and audio)