cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nndnddwpjx.2
title: The endocannabinoid effect on sociability

description: Early life seizures in rodents leads to autistic-like behavior, characterized by low preference for novelty, deficit in social recognition and high anxiety. We used this animal model to better understand the role of the endocannabinoid system on sociability. Male Wistar rats at postnatal day 9 were subjected to pilocarpine-induced neonatal status epilepticus and controls received saline. From P60 groups received vehicle or JZL195 2 hours prior each behavioral test, in order to increase endocannabinoids availability. In social discrimination test, untreated control animals spent higher time with social novelty as compared to familiar one (t= 3.263; p&lt;0.01). The JZL195 reduced the overall time spent with the conspecifics (F(1,19)=6.11; p=0.023) and also inhibited the social discrimination (t=0.17; p&gt;0.05). In this paradigm, the significant interaction between factors (conspecific x treatment) (F(1,19)= 4.863;p=0.04) suggests that control animals under JZL195 effect exhibited reduced social motivation. In contrast, the untreated experimental group did not show preference for social novelty (t= 0.336; p&gt;0.05) and JZL195 did not modify the impaired social discrimination. In social recognition test, control animals, regardless the treatment, showed habituation to the social stimulus (F(2,32)= 11.64, p=0.0002), suggesting that animals exhibited social recognition memory, but it was reduced by the treatment with JZL 195 (F(1,16)= 5.086, p= 0.038). Moreover, time of investigation increased when the familiar social stimulus was replaced by new one (F(1,16)=10.24, p=0.005), suggesting that social memory recognition was preserved. Treated control animals exhibited a lower time of investigation toward social stimulus (F(1,16)=9.092, p=0.0082), suggesting that JZL195 reduced the social motivation without affect social recognition memory. In the experimental group, the time of investigation decreased when exposed to the same animal (F (2,34)=7.92, p=0.0015), suggestive that the social recognition was preserved and unaffected by the treatment with JZL195 (F(1,17)= 0.246; n.s). The JZL195 decreased the time of investigation only in control group (t=2.464, p= 0.025) to values that are similar to the experimental one. After behavioral tests, brain tissues were used for CB1 receptor quantification by Elisa and for gene expression by RT-PCR: no difference between control and experimental animals was detected. Our results state that increased endocannabinoid signaling reduces social motivation in intact rats and has no effect in animals submitted to early life seizures.
DOI: 10.17632/sfy77bsp25.1
title: Supraspinatus Tensile Data and Processing Files

description: Filename: TestData.xlsx The data is test stress-strain data for cadaveric human supraspinatus tendon obtained in a uni-axial tensile test on MTS EM Tension testing equipment at University of South Africa's Biomechanics Research Laboratory. The equipment was operated in displacement mode on all the three tests at 0.1 s-1 of strain rate. The samples were not preconditioned. All columns are appropriately labelled to enable researchers to understand what each column represents. The test equipment did not have an environmental chamber at the time of the test so the samples were inevitably exposed to varying conditions before and during the test procedure. Filename: Hyperelastic_vs_Viscoelastic_Nonlin_Modelling.m This is a main processing MATLAB program file. It calculates the stress using nonlinear least squares curve fitting routine. Filename: funTestData_ShoulderTendon.m The function is called by the above file to fetch test data from the Excel file 'TestData.xlsx' and extracts only the section within the elastic region. There are three tests in the file and each test data is different in terms of the upper limit of the elastic region. The function calls each test data as specified in its argument. Filename: funyehmod.m This MATLAB function implements the Yeoh material model. Filename: funstdnonlinsolid.m This MATLAB function implements the standard nonlinear solid model using the sigmoidal kernel function.
DOI: 10.21227/pc6e-hb91
title: Event Geoparsing Indonesian News Dataset

description: This dataset contains four types of geospatial events coverage in Indonesian news online portal: flood, traffic jam, earthquake, and fire. The corpus itself was composed of 926 manually annotated, disambiguated, and event extracted sentences that was filtered from 83 of 645,679 documents of our earlier news corpus based on four major geospatial events: flood, earthquake, fire, and accidents. Source: detik.com, kompas.com, cnnindonesia.com
DOI: 10.17632/9b4bp65xyx.1
title: Data for: Unexpectedly high densities of feral cats in a rugged temperate forest

description: UPDATED VERSION 29/5/2020: Data and R scripts for the spatial mark-resight modelling of feral cat density in the Western Otway Ranges, 2017.
DOI: 10.17632/2bn9g5rfv6.2
title: Multivariate Prediction Network Model for epidemic progression to study the effects of lockdown time and coverage on a closed community on theoretical and real scenarios of COVID-19: the case of Rio de Janeiro

description: The aim of this study was to develop a realistic network model to predict qualitatively the relationship between lockdown duration and coverage in controlling the progression of the incidence curve of an epidemic with the characteristics of COVID-19 in a closed and non-immune population. Effects of lockdown time and rate on the progression of an epidemic incidence curve in a virtual closed population of 10 thousand subjects. Predictor variables were R0 values established in the most recent literature (2.7 and 5.7), without lockdown and with coverages of 25%, 50%, and 90% for 21, 35, 70, and 140 days in 13 different scenarios for each R0, where individuals remained infected and transmitters for 14 days. We estimated model validity by applying an exponential model on the incidence curve with no lockdown, with growth rate coefficient observed in realistic scenarios. Pairwise comparisons were performed using Wilcoxon test with Bonferroni correction between peak amplitude, peak latency, and total number of cases for each R0 used. For R0=5.7, the flattening of the curve occurs only with long lockdown periods (70 and 140 days) with a 90% coverage. For R0=2.7, coverages of 25 and 50% also result in curve flattening and reduction of total cases, provided they occur for a long period (70 days or more). Short and soft lockdowns had no relevant effect on incidence or casuistry. These data corroborate the importance of lockdown duration regardless of virus transmission.
DOI: 10.17632/sxvykg8vvd.1
title: ISNW Dataset for "Calcification of planktonic foraminifer Pulleniatina obliquiloculata controlled by seawater temperature rather than ocean acidification"

description: Supporting data (P. obliquiloculata ISNW data calculated from P. obliquiloculata SNW and SNWN. dutertrei-based deep-water Δ[CO32‒] at site WP7) for "Calcification of planktonic foraminifer Pulleniatina obliquiloculata controlled by seawater temperature rather than ocean acidification"
DOI: 10.21227/t1tj-n588
title: Event Geoparsing Indonesian News Dataset

description: This dataset contains four types of geospatial events coverage in Indonesian news online portal: flood, traffic jam, earthquake, and fire. The corpus itself was composed of 926 manually annotated, disambiguated, and event extracted sentences that was filtered from 83 of 645,679 documents of our earlier news corpus based on four major geospatial events: flood, earthquake, fire, and accidents. Source: detik.com, kompas.com, cnnindonesia.com
DOI: 10.5285/83b0cd7e7cc6495a90b4cb967ead3577
title: North Atlantic Climate System Integrated Study (ACSIS) Atlantic Ocean medium resolution SST dataset: Reconstructed 5-day, ½ degree, Atlantic Ocean SST (1950-2014)

description: The North Atlantic Climate System Integrated Study (ACSIS) Atlantic Ocean medium resolution SST dataset is a 5-day field of Sea Surface Temperature (SST) on a ½ degree by ½ degree grid from 1950 to 2014 and covers the Atlantic Ocean. The dataset is based on in situ ship and buoy SST observations from the International Comprehensive Ocean-Atmosphere Data Set (ICOADS) Revision 3. Measurements which fail initial quality control checks are rejected and for each grid box where there is data a trimmed mean and sample standard deviation are calculated to produce super-observations. These are then expressed as anomalies from the 1981-2014 Climatology (mean, annual, semi-annual and tri-annual) from the European Space Agency (ESA) Climate Change Initiative (CCI) SST dataset (version 2.0) derived from satellite observations. The measurements are then interpolated using Kriging to infill gaps and estimate uncertainties. The spatial covariance used in the Kriging was derived from the CCI SST analysis residuals (CCI SST analysis minus the CCI SST climatology). After interpolation, bias corrections derived from the HadSST.4.0.0.0 dataset are applied. The dataset is available as annual CF complaint NetCDF files, with a total of 65 annual files available. Each file contains: the 5 day mean sea surface temperature; the corresponding climatological value, the sea surface temperature anomaly and the uncertainty in the sea surface temperature. The new dataset has been developed as part of the UK North Atlantic Climate System Integrated Study (ACSIS) for use in validation and comparison with regional climate models. Other potential uses include boundary forcing for regional reanalyses, monitoring and assessment of regional climate change and other studies requiring SST at a resolution higher than typical for the in situ products (i.e. &lt; 1 month, &lt; 1°) and spanning the satellite and pre-satellite era.
DOI: 10.5519/qd.oybh58ii
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (412 records)
DOI: 10.17632/h4375vn7tb.1
title: Water clarity data, above-water remote sensing reflectance data, meteorological data and socioeconomic data in the Xin’anjiang Reservoir

description: The data were used in the paper entitled of "Analysis of Water Clarity Decrease in Xin’anjiang Reservoir, China, from 30-Year Landsat TM, ETM+, and OLI Observations". The uploaded dataset contains: (1) water clarity data and above-water remote sensing reflectance data which were collected in the Xin’anjiang Reservoir during 2013 to 2014. Specifically, the above-water remote sensing reflectance data were resampled to the remote sensing reflectance of different Landsat sensors (TM, ETM+ and OLI); (2) meteorological data in the Xin’anjiang Reservoir including air temperature and rainfall data were collected from 1960 to 2016; (3) socioeconomic data in the Xin’anjiang catchment including population, gross domestic product, chemical fertilizer usage and industrial sewage.
DOI: 10.17632/yzwb887v45.1
title: Bugdata set

description: bug data of open-source applications
DOI: 10.21227/t2rr-bs84
title: Event Geoparsing Indonesian News Dataset

description: This dataset contains four types of geospatial events coverage in Indonesian news online portal: flood, traffic jam, earthquake, and fire. The corpus itself was composed of 926 manually annotated, disambiguated, and event extracted sentences that was filtered from 83 of 645,679 documents of our earlier news corpus based on four major geospatial events: flood, earthquake, fire, and accidents. Source: detik.com, kompas.com, cnnindonesia.com
DOI: 10.21227/xgme-0v73
title: Event Geoparsing Indonesian News Dataset

description: This dataset contains four types of geospatial events coverage in Indonesian news online portal: flood, traffic jam, earthquake, and fire. The corpus itself was composed of 926 manually annotated, disambiguated, and event extracted sentences that was filtered from 83 of 645,679 documents of our earlier news corpus based on four major geospatial events: flood, earthquake, fire, and accidents. Source: detik.com, kompas.com, cnnindonesia.com
DOI: 10.5281/zenodo.3865567
title: FESOM2 output. Pi mesh

description: Small test dataset for FESOM2 post processing. MESH is located in pi.tar.gz file. Feel free to use it for development and testing but be aware that these data are in no way suitable for scientific use.
DOI: 10.5519/qd.0nju14sf
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2685867 records)
DOI: 10.17632/cdfbftykp7.1
title: Dataset Measuring organizational culture, motivation, and interpersonal communication based on the multicultural teacher performance

description: In the datasets, the scale of organizational culture based on eleven items of primary cultural values (PCV) and nine items of secondary cultural values (SCV). Work motivation variables in the datasets used four items of motive motivation (MM), seven items of expectation motivation (ME), and with nine items of incentive motivation (IM). Interpersonal communication variables were seven items of social sensitivity (SS), nine items of social insight (SI), and four items of social communication skills (SCM). The items, including labels and ratings, will be explained later, with more comprehensive details as supplementary material (see "Annotated Questionnaire" in supplementary material). This was because each item had different rankings and choices. To measure teacher performance used three scales from the book of effective teacher performance. The teacher performance scale used three variables of thirteen items of the learning process (LL), four items of scientific work (SW), and three items of service (S).
DOI: 10.17632/tmrs92j7pv.5
title: COVID-19: Time Series Datasets India versus World

description: This dataset consists of COVID-19 time series data of India since 24th March 2020. The data set is for all the States and Union Territories of India and is divided into five parts, including i) Confirmed cases; ii) Death Count; iii) Recovered Cases; iv) Temperature of that place; and v) Percentage humidity in the region. The data set also provides basic details of confirmed cases and death count for all the countries of the world updated daily since 30 January 2020. The end user can contact the corresponding author (Rohit Salgotra : nicresearchgroup@gmail.com) for more details. . [Dataset is updated After Every Monday & Thrusday]
DOI: 10.17632/7fpmwrpzk9.1
title: Data for: 3613488
DOI: 10.17632/8hhvnt9r8x.1
title: Mapping functional connectivity from the dorsal cortex to the thalamus

description: In this research, we developed a high throughput method to systematically map functional connections from the dorsal cortex to the thalamus in awake mice by combing optogenetic inactivation with multichannel recording. Here, we provide: 1. Raw data of multi-units and single-units obtained in this study. 2. MATLAB codes for data analysis.
DOI: 10.17632/fpwxsvy39k.1
title: When did the Lhasa and Qiantang Terranes “divorce”: Constraints from Middle-Late Triassic Alkaline Trachytic Lavas

description: Data accompanying "When did the Lhasa and Qiantang Terranes “divorce”: Constraints from Middle-Late Triassic Alkaline Trachytic Lavas" by Yang Song, Haifeng Li, Carl Guilmette, Ming Zheng, Douwe J.J. van Hinsbergen, Zhenyu Li, Faqiao Li. Geochemistry, Geophysics, Geosystems, 2020
DOI: 10.17632/hbcb24jrhs.1
title: CSAs Barcelona

description: Data base of the agroecological network generated by the 56 Communities Supported Agricultures (CSAs) in the city of Barcelona and their 177 providers (163 directly producers and 14 intermediaries).
DOI: 10.17632/vsk68tjcgh.3
title: rMSIcleanup Validation Datasets 1-10

description: Mass Spectrometry Imaging datasets used as validation of the functionality of rMSIcleanup (https://github.com/gbaquer/rMSIcleanup). Acquired with silver-assisted LDI using MALDI TOF/TOF ultrafleXtreme. Referred to as Dataset 1-10 in the accompanying publication (https://doi.org/10.1101/2019.12.20.884957). Datasets 1 and 2: Mouse Pancreatic Tissue. Dataset 3: Mouse Kidney Tissue. Datasets 4-10: Mouse Brain Tissue.
DOI: 10.17632/y749944ddt.2
title: ZJU SYG crack data set

description: A crack data set for object detection based on deep learning.
DOI: 10.21227/r4ry-dm51
title: Event Geoparsing Indonesian News Dataset

description: This dataset contains four types of geospatial events coverage in Indonesian news online portal: flood, traffic jam, earthquake, and fire. The corpus itself was composed of 926 manually annotated, disambiguated, and event extracted sentences that was filtered from 83 of 645,679 documents of our earlier news corpus based on four major geospatial events: flood, earthquake, fire, and accidents. Source: detik.com, kompas.com, cnnindonesia.com
DOI: 10.5281/zenodo.3837440
title: Code and data underlying "Interictal intracranial EEG for predicting surgical success: the importance of space and time"

description: Code and data underlying our publication "Interictal intracranial EEG for predicting surgical success: the importance of space and time" in Epilepsia 2020
DOI: 10.5281/zenodo.3837441
title: Code and data underlying "Interictal intracranial EEG for predicting surgical success: the importance of space and time"

description: Code and data underlying our publication "Interictal intracranial EEG for predicting surgical success: the importance of space and time" in Epilepsia 2020
DOI: 10.5281/zenodo.3865238
title: Multi-Attributed Structured Text-to-face Dataset

description: A new data consolidation called Multi-Attributed and Structured Text-to-face (MAST) dataset. The motivation is to have a large corpus of high-quality face images with fine-grained and attribute-focussed annotations. This has the benefits of the attribute oriented approach as well as the semantics in a textual description.
description: {"references": ["Liu, Z., Luo, P., Wang, X., and Tang, X. Deep learning face attributes in the wild, 2014."]}
DOI: 10.17632/hbcb24jrhs.2
title: CSAs Barcelona

description: Data base of the agroecological network generated by the 56 Communities Supported Agricultures (CSAs) in the city of Barcelona and their 177 providers (163 directly producers and 14 intermediaries). 2018.
DOI: 10.17632/hk32mhxkjh.1
title: rMSIcleanup Validation Datasets 13 and 14

description: Mass Spectrometry Imaging dataset of B73 inbred root used in the validation of of rMSIcleanup (https://github.com/gbaquer/rMSIcleanup). Acquired with silver-assisted LDI using Thermo Finnigan™ MALDI-LTQ-Orbitrap Discovery. The datasets are referred to as Dataset 13 and Dataset 14 in the accompanying publication (https://doi.org/10.1101/2019.12.20.884957).
DOI: 10.17632/n9d8gbz3xr.1
title: The ontogeny of a mammalian cognitive map in the real world

description: Movement data and scripts
DOI: 10.17632/rz5m25gbvk.3
title: Evaluation Rubric: "Collaborative Writing at Work: Peer Feedback in a Blended Learning Environment"

description: This database provides the evaluation rubric used in the Teaching Innovation Project: "Writing an academic review in a blended learning environment" (PID 181960), carried out at the Universitat de les Illes Balears (UIB) with the collaboration of the Universitat Oberta de Catalunya (UOC) during the academic year 2018-2019. We have used some of the information obtained from these interviews in the article: "Collaborative Writing at Work: Peer Feedback in a Blended Learning Environment" Article Summary: This exploratory study aims to analyse the nature of peer feedback during a collaborative writing assignment, and to identify the possible effects feedback has on the revision of a text written by university students in a blended learning environment. Under analysis are two different graduate’s courses in academic writing, during which, over a period of a whole semester, the students (n = 85) were divided into 25 work groups to carry out a co-evaluation assignment with the support of a technology platform. The results obtained indicate that, when collaborative writing includes peer feedback, instead of unidirectional corrections from the teacher, the students respond more reflectively and constructively, they discuss the content they are working with, and, as a result, they effect significant changes in their own writing.
DOI: 10.17632/ygktp8g3g9.3
title: Interviews: Collaborative Writing at Work: Peer Feedback in a Blended Learning Environment

description: This database provides the interviews done to the students at the end of the Teaching Innovation Project: "Writing an academic review in tele-collaborative settings" (PID 181960), carried out at the Universitat de les Illes Balears (UIB) with the collaboration of the Open University of Catalonia (UOC) during the academic year 2018-2019. We have used some of the information obtained from these interviews in the article: "Collaborative Writing at Work: Peer Feedback in a Blended Learning Environment" Article Summary: This exploratory study aims to analyse the nature of peer feedback during a collaborative writing assignment, and to identify the possible effects feedback has on the revision of a text written by university students in a blended learning environment. Under analysis are two different graduate’s courses in academic writing, during which, over a period of a whole semester, the students (n = 85) were divided into 25 work groups to carry out a co-evaluation assignment with the support of a technology platform. The results obtained indicate that, when collaborative writing includes peer feedback, instead of unidirectional corrections from the teacher, the students respond more reflectively and constructively, they discuss the content they are working with, and, as a result, they effect significant changes in their own writing.
DOI: 10.17632/ms67zd9dvc.1
title: Test Data of Case Studies

description: All of the case study data such as energy prices, investment prices, system structures, and load profiles of the two systems are provided in an online supplement.
DOI: 10.17632/vynzp3drjj.2
title: data for Yangtze estuary

description: Data for sands in the Yangtze estuary, more information have been specified in the excel.
DOI: 10.17632/8b8ygpt596.3
title: COVID-19 full DB official Russian Data by Regions 2020

description: This DB based on all available reports by the Communicational center of Government of the Russian Federation. Official Russian COVID-19 data published daily by the Government of Russia (on the Russian language) in the form of raw data is a daily updated report in a pdf form. Each piece has daily updates. We are providing a working link on every cell of data in the dataset. This DB is an attempt to manually collect critical variables from the report into a machine-readable format. These datasets are ready to be used for analysis and modeling. Variables: location; date; new cases [diagnosed]; cases [cumulative]; recovered [new]; recovered [cumulative]; deaths [new]; deaths [cumulative]; tests [new tests administered]; tests [cumulative]; test_positive [cumulative]; hospitalization [cumulative]; icu [cumulative or population]; on_invasive_ventilators [cumulative or population]; test_negative [cumulative]; hospital beds; web links. All Data divided by date (time) and regions (Oblast) of the Russian Federation.
DOI: 10.17632/d2gb5wz88r.1
title: Raw data

description: Raw data of immunoblotting results.
DOI: 10.17632/k5tcg8btbz.2
title: Air quality data in Wuhan during COVID-19

description: Raw and processed data for the article: Analysis of air quality changes in Wuhan during COVID-19 by Grey relational analysis.NYE means the Chinese New Year’s Eve.
DOI: 10.17632/k5tcg8btbz.3
title: Air quality data in Wuhan during COVID-19

description: Raw and processed data for the article: Analysis of air quality changes in Wuhan during COVID-19 by Grey relational analysis.