cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/h293p9hyxt.2
title: An agro-physiological dataset on industrial tomatoes from nine years of field experiments conducted with alternative water-saving strategies in Mediterranean environments

description: This dataset has been collected during multi-year field trials conducted to assess the effect of alternative Deficit Irrigation (DI) strategies on industrial tomato. DI is a widely investigated farming strategy that reduces water applications below optimal crop requirements during the crop cycle without compromising production. The dataset comprises 100 experimental plots carried out in nine years and entails 32 DI treatments. The treatments include nine controls (well-watered), 15 constant DI treatments (i.e., same irrigation regime during the crop cycle), and eight variable DI treatments. The dataset is released as a Microsoft Excel file (extension .xlsx) organized in eight sheets corresponding to the main typologies of data, i.e., irrigation water scheduling (volume and timing), physical soil characteristics, daily weather data, and agro-physiological variables (i.e., phenology, stomatal conductance, crop temperature, crop yield, and quality). The dataset is presented in a Data In Brief article which is currently under review.
DOI: 10.17632/gnr8xws4cr.1
title: Social facilitation of long-lasting memory is mediated by CO2 in Drosophila

description: How social interactions influence cognition is a fundamental question, yet rarely addressed at the neurobiological level. It is well established that the presence of conspecifics affects learning and memory performance, but the neural basis of this process has only recently begun to be investigated. In the fruit fly Drosophila melanogaster, the presence of other flies improves retrieval of a long-lasting olfactory memory. Here, we demonstrate that this is a composite memory comprised of two distinct elements. One is an individual memory that depends on outputs from the ’’ Kenyon cells (KCs) of the Mushroom Bodies (MBs), the memory center in the insect brain. The other is a group memory requiring output from the  KCs, a distinct sub-part of the MBs. We show that social facilitation of memory increases with group size and is triggered by CO2 released by group members. Among the different known neurons carrying CO2 information in the brain, we establish that the bilateral Ventral Projection Neuron (biVPN), which projects onto the MBs, is necessary for social facilitation. Moreover, we demonstrate that CO2-evoked memory engages a serotoninergic pathway involving the Dorsal-Paired Medial neurons (DPM), revealing a new role for this pair of serotonergic neurons. Overall, we identified both the sensorial cue and the neural circuit (biVPN&gt;&gt;DPM&gt;) governing social facilitation of memory in flies. This study provides the demonstration that being in a group recruits the expression of a cryptic memory and that variations in CO2 concentration can affect cognitive processes in insects.
DOI: 10.17632/4yv37hngp6.1
title: Time series lighting electricity data for rural households using Solar Nano-grids in Kenya

description: This data set is time series electricity use data from rural households using off-grid energy systems in Kenya. As well as indicating lighting electricity use for a real-world use case, it can give insight into active occupancy times in the mornings and evenings. This can support estimation of load profiles for higher tiers of the Multi-tier Framework for energy access by adding in load profiles for additional appliances. Two solar nano-grids (SONGs) were built in two rural communities in Kenya, as part of the Solar Nano-grids project (EPSRC ref: EP/L002612/1). One aspect of the SONGs were battery-charging systems, in which batteries could be charged at a central solar hub, and used in households to power lighting and mobile phone charging. For each battery the electricity use was recorded in real-time between July 2016 and November 2016 inclusive. The data consist of separate demand (use of battery in the home for lighting) and charging (charging at the central hub) profiles in csv files, individually for each household. The data are half-hourly measurements of average power used for the household lighting system (3 3W LED bulbs with wiring and switches). There is data for 51 households, ranging in length from 3 days to 5 months. Note that the data set is solely electricity use for the household lighting system, and does not include electricity use via the USB port that was present for charging mobile phones. The households are anonymised and are numbered in order of ascending number of days of data. The household battery packs were Li-ion with capacity 62 Wh, and the data were recorded using a FRDM K-64F mbed embedded in each. 13 post-processing steps were required to process the data gathered in raw form from the batteries into energy profiles for individual households (see reference below). These included: correcting the timestamps caused by time drift or recalibration of the RTCs, attributing batteries to the correct household, addressing logging disruptions and inconsistent logging frequencies, imposing limits on power and duration of use to remove non-representative battery use, and testing loading conditions to remove abnormal energy use. The gaps in the data and varying lengths of the data are caused by: technical challenges with the batteries, meaning that they required frequent repairing; issues with the RTC on the microcontroller being reset; difficulty in attributing data to the correct household. Between 18th July - 1st August (approx.), the charging hub was shut down and so there is a gap in all energy profiles. Graphical representations of the data for each household, and further information about the solar nano-grids project, the energy data, and the processing steps involved, can be found in Clements, A F. Data-driven approaches enabling the design of community energy systems in the Global South. DPhil Thesis. Department of Engineering Science, University of Oxford. 2019.
DOI: 10.17632/4vtrtxgxzm.1
title: Data for: Materials Selection in a Critical Raw Materials Perspective

description: Data in excel format used to create material maps
DOI: 10.17632/64v3b6t7dx.1
title: Kurdish Social Media Sentiment Dataset: Insights on Misyar Marriage

description: One of the languages with fewer resources is thought to be Kurdish. 30–40 million people practice the language worldwide. The 33 letters of the language are essentially the same as those of Arabic. There are two main dialects of Kurdish: Sorani and Badini. A number of texts written in the Sorani dialect are included in the dataset. The "Kurdish Social Media Sentiment Dataset: Insights on Misyar Marriage" is a collection of 5108 carefully labeled sentiment-filled Central Kurdish comments from YouTube and Facebook. This dataset captures a wide range of user sentiments and offers insights into public opinions regarding Misyar marriage.
Two columns and a single CSV file make up the dataset:
 comments: The text of Central Kurdish comments from Facebook and YouTube that cover a range of topics and viewpoints regarding Misyar marriage is included in this column. 
 Sentiments: This column assigns a label to each comment based on one of eight possible categories: sarcastic or humorous, positive, negative, neutral, suggestive, dismissive, skeptical, or curious.
Sentiment Descriptions
• Positive: Comments expressing approval or favorable opinions about Misyar marriage.
• Negative: Comments expressing disapproval or unfavorable opinions about Misyar marriage.
• Neutral: Comments that are impartial or do not express any strong opinion about Misyar marriage.
• Sarcastic or Humorous: Comments using sarcasm or humor when discussing Misyar marriage.
• Suggestive: Comments that offer suggestions or propose ideas related to Misyar marriage.
• Dismissive: Comments that disregard or downplay the importance of Misyar marriage.
• Skeptical: Comments expressing doubt or questioning the validity or benefits of Misyar marriage.
• Curious: Comments indicating a desire to learn more or ask questions about Misyar marriage.
DOI: 10.17632/v94vzbwzf3.1
title: AA-MD simulation beta-sitosterol (BST), sonidegib (SNG) and cholesterol (CLR) with smoothened protein (SMO)

description: The data provided here are the raw and supplementary data for all atom (AA) molecular dynamic simulations of beta-sitosterol, sonidegib and cholesterol with smoothened protein (SMO), respectively. There are three folder; SMO-BST, SMO-CLR and SMO-SNG. In each folder, the topology (.tpr) and trajectory (.xtc) of respected complex for 10 ns of MD simulation were embedded together with four sub-folders of raw data from GROMACS package simulation, PyContact, g_mmpbsa and distance analysis. The distance folder contains the index file for targeted residues and also the video (.mpg and .mp4 format) of distance simulation between ARG451 and TRP535 residues produced by VMD software and online conversion tool. The GROMACS folder contains important execution files for smoothened and ligand topology preparation, solvation, energy minimization, equilibration, and molecular dynamic productions. The g_mmpbsa folder contains the output files (.dat) from the calculation of energy component. This folder also comprises of the PDB files containing energy values in B-factor which can be visualized by VMD software. The PyContact folder having the original outputs (.png) of interaction analysis between SMO and ligand that were generated from PyContact tool. The .tpr and .xtc files from MD production using GROMACS are important for the generation of raw data in g_mmpbsa, PyContact and distance analysis.
DOI: 10.17632/wd52cwgw73.10
title: Tariff-Based Product-Level Trade Elasticities

description: This repository contains all the SAS and STATA codes needed to replicate results in the manuscript "Tariff-Based Product-Level Trade Elasticities" by L. Fontagné, H. Guimbard and G. Orefice

Abstract. 
Trade elasticity which varies widely across products is a crucial parameter in evaluating the welfare impacts of changes in trade frictions. We estimate trade elasticities at the product level by exploiting the variation in bilateral tariffs for each product category for the universe of country pairs over the 2001 to 2016 period. The predicted trade flows using the product-specific trade elasticities estimated here match the observed post-EPA import between the US and Chile, confirming the accuracy of our estimates.
DOI: 10.17632/mdnb359tp9.1
title: The systemic inflammatory landscape of COVID19 in pregnancy: Extensive serum proteomic profiling of mother-infant dyads with in-utero SARS-CoV-2  

description: Extensive serum proteomic profiling of mother-infant dyads with in-utero SARS-CoV-2. Immunological landscapes of 93 COVID19 mothers and 45 of their SARS-CoV-2-exposed infants were revealed through comprehensive serum proteomics profiling for >1400 cytokines of their peripheral and cord blood specimens.
DOI: 10.17632/ym2wtvmd7g.1
title: Database of Walking program for elderly hypertensive women

description: This data is referent to publication in the Clinical Interventions in Aging titled as "Short -Term Effect of Self-Selected Training Intensity on Ambulatory Blood Pressure in Hypertensive Older Women: A Randomized Controlled Trial". The authors share this data according to policies open access to scientific and medical research of Dove Medical Press. The original data regarding the outcomes are available in this public repository in order to independent verification of research results.
DOI: 10.17632/d2vnj5vc5y.1
title: Demostracion de tesis y articulo cienifico que se asemeja a mi tema de proyecto

description: Un ejemplo de tesis y articulo cientifico
DOI: 10.17632/ckk7kpknbs
title: Research Result

description: This data contains the research result of e-voting application with blockchain.
DOI: 10.17632/rcgjrvdj8w.1
title: Data for: Datasets evidencing research on classroom practice in L2 disciplinary writing

description: -Raw data in Excel containing PhD students’ written pre- and post-instruction conference abstracts, which depict evidence of discourse-structural and linguistic feature changes due to the classroom interactive instruction (File #1-3). -Raw data in Excel comprising marks awarded to the assessed pre- and post-instruction written conference abstracts (File #4). -Processed t test pre- and post-instruction marks, in Excel (File #5-8). -AntConc (Windows 3.5.7) concordance hits data of discourse-moves and linguistic feature in Word (File #9-11). -Raw qualitative data in Excel depicting experiences about the classroom intervention (File #12). -Marking descriptors (File #13) and interview instruments (File #14) -Classroom activities (File #15-16).
DOI: 10.17632/8g4fxscxcx.2
title: Plain film fracture detection rate of trauma clinicians on Lodox bodygram

description: This was a retrospective review to ascertain the plain film fracture detection rate of non-radiologist trauma clinicians when interpreting Lodox bodygram images in adult trauma patients. Customised searches of the Picture Archiving and Communications Systems (PACS) of two tertiary academic hospitals in the Western Cape, South Africa, were conducted to retrieve all adult trauma patients (aged 18+ years) who had Lodox bodygram scans as part of their initial workup on presentation to either of the two Level 1 Trauma Units over two consecutive months. Information collected included age, sex, mechanism of trauma, location of all fractures or dislocations visible on the Lodox bodygram and whether the patient was intubated or not. The bodygram images (which are not routinely reported by radiologists) were retrospectively reviewed by two radiologists, who noted the locations of all fractures visible on Lodox (gold standard). The follow-up imaging sequence on the PACS system was then analysed to see which of the fractures visible on Lodox received dedicated follow-up imaging (radiographs/CT/MR) since the single projection Lodox bodygram is insufficient for full characterization of the injury. Fractures seen on Lodox but without additional dedicated imaging were deemed as missed. Cases which were unclear or where follow-up imaging was delayed were clarified by review of the clinical notes. Generalised Fischer Exact Test assessed any association between the fracture site and failure of detection. An orthopaedic surgeon was consulted to ascertain which of the missed fractures needed surgical treatment. Data included are: Excel Spreadsheet: Complete Dataset Complete dataset for our study in table form. Columns are self-explanatory with totals tallied below. Excel Spreadsheet: Statistical results The results of the Generalised Fischer Exact Test used to assess any association between the fracture site and failure of detection Figure 2: Selected examples of subtle missed fractures, description included in accompanying Word document of the same name.
DOI: 10.17632/vbvj6j6pm9.1
title: A kiswahili Dataset for Development of Text-To-Speech System

description: The dataset contains Kiswahili text and audio files. The dataset contains 7,108 text files and audio files. The Kiswahili dataset was created from an open-source non-copyrighted material: Kiswahili audio Bible. The authors permit use for non-profit, educational, and public benefit purposes. The downloaded audio files length was more than 12.5s. Therefore, the audio files were programmatically split into short audio clips based on silence. They were then combined based on a random length such that each eventual audio file lies between 1 to 12.5s. This was done using python 3. The audio files were saved as a single channel,16 PCM WAVE file with a sampling rate of 22.05 kHz
The dataset contains approximately 106,000 Kiswahili words. The words were then transcribed into mean words of 14.96 per text file and saved in CSV format. Each text file was divided into three parts: unique ID, transcribed words, and normalized words. A unique ID is a number assigned to each text file. The transcribed words are the text spoken by a reader. Normalized texts are the expansion of abbreviations and numbers into full words. An audio file split was assigned a unique ID, the same as the text file.
DOI: 10.17632/dwyvhggssg.1
title: Cash Flow Patterns_Replication Files

description: Replication files for “Financial Constraints, Cash Flow Timing Patterns, and Asset Prices”
DOI: 10.17632/mmnzx4w8cg.1
title: Survey dataset on mental health in tech professionals from Open Sourcing Mental Health (OSMI) surveys (2017-2021)

description: This dataset is created by combining surveys from the last five years (2017-2021) conducted by Open Sourcing Mental Illness (a non-profit corporation) to determine the presence of mental health issues among those employed in the technology sector and to measure attitudes regarding mental health in the workplace. 

Survey responses in the dataset are filtered based on having a tech role as primary criteria and descriptive questions are removed besides checking for data consistency and validity of survey responses to make analysis possible.

OSMI has made the data sets from the 2017 to 2021 survey available on Kaggle.
DOI: 10.17632/9hjv66mjm9.1
title: Digitalization through Supply Chains: Evidence from Customer Concentration of Chinese Listed Companies

description: All tables in the table can be obtained by running "regression1 for em revision202310.do". We have clarified all tables and figures relavant in the do-file.
Data for Fig.1 are provided in file "fig1.xlsx" in file "data".
DOI: 10.17632/k7dh9mhynk.1
title: Internet finance and agricultural TFP

description: Stata data and do file
DOI: 10.17632/bwd5ht34w4.1
title: Passive e-participation

description: Datasets, Machine Learning and NLP Algorithms, and Visualization files for the paper "Passive e-participation in urban design: A novel ML approach to extract public attitudes towards different types of urban spaces with social media data"
DOI: 10.17632/454dsrmdyf.2
title: 2D Binary Images and Effective Thermal Conductivity CFD Results

description: This dataset was originally created to train a CNN for predicting the effective thermal conductivity of these binary structures based on geometry alone. A total of four different ratios of thermal conductivity between the two phases were simulated. The original dataset contains 40,000 unique 128x128 binary structures, and is further expanded by flipping the color scheme, rotating the image 90 degrees, and doing both simultaneously. That is done to the folders CirclePack, EllipsePack, and QuadrilateralPack, expanding the dataset to 130,000 unique structures. Therefore, in the folders below are the 40,000 original images (10,000 in each folder) and all of the CFD results (520,000 total simulation results). For more detail on structure generation and the CFD algorithm, refer to the manuscript. Pre-proof manuscript: Adam, A., Fang, H., & Li, X. (2023). Effective thermal conductivity estimation using a convolutional neural network and its application in topology optimization. In Energy and AI (p. 100310). Elsevier BV. https://doi.org/10.1016/j.egyai.2023.100310
DOI: 10.17632/5pmnkshffm.1
title: Network traffic for machine learning classification

description: The dataset is a set of network traffic traces in pcap/csv format captured from a single user. The traffic is classified in 5 different activities (Video, Bulk, Idle, Web, and Interactive) and the label is shown in the filename. There is also a file (mapping.csv) with the mapping of the host's IP address, the csv/pcap filename and the activity label. Activities: Interactive: applications that perform real-time interactions in order to provide a suitable user experience, such as editing a file in google docs and remote CLI's sessions by SSH. Bulk data transfer: applications that perform a transfer of large data volume files over the network. Some examples are SCP/FTP applications and direct downloads of large files from web servers like Mediafire, Dropbox or the university repository among others. Web browsing: contains all the generated traffic while searching and consuming different web pages. Examples of those pages are several blogs and new sites and the moodle of the university. Vídeo playback: contains traffic from applications that consume video in streaming or pseudo-streaming. The most known server used are Twitch and Youtube but the university online classroom has also been used. Idle behaviour: is composed by the background traffic generated by the user computer when the user is idle. This traffic has been captured with every application closed and with some opened pages like google docs, YouTube and several web pages, but always without user interaction. The capture is performed in a network probe, attached to the router that forwards the user network traffic, using a SPAN port. The traffic is stored in pcap format with all the packet payload. In the csv file, every non TCP/UDP packet is filtered out, as well as every packet with no payload. The fields in the csv files are the following (one line per packet): Timestamp, protocol, payload size, IP address source and destination, UDP/TCP port source and destination. The fields are also included as a header in every csv file. The amount of data is stated as follows: Bulk : 19 traces, 3599 s of total duration, 8704 MBytes of pcap files Video : 23 traces, 4496 s, 1405 MBytes Web : 23 traces, 4203 s, 148 MBytes Interactive : 42 traces, 8934 s, 30.5 MBytes Idle : 52 traces, 6341 s, 0.69 MBytes
DOI: 10.17632/3j93ybf4md.1
title: Regional heterogeneity in gene expression, regulation and coherence in hippocampus and prefrontal cortex across development and in schizophrenia. Collado-Torres et al, Neuron, 2019.

description: This dataset contains the Supplementary Figures and Tables for the "Regional heterogeneity in gene expression, regulation and coherence in hippocampus and prefrontal cortex across development and in schizophrenia" article by Collado-Torres et al, Neuron, 2019. Please cite the original article as well as the data itself if appropriate. For clarifications about the figures or data, please contact us by creating an issue at https://github.com/LieberInstitute/brainseq_phase2/issues. Thank you!
DOI: 10.17632/fn38hf353w.2
title: Data for: A CNN Recognition Method for Early Stage of 10kV Single Core Cable Based on Sheath Current

description: Here we provide the raw data which is obtained from the simulation in PSCAD/EMTDC software and the processed data which contain 4 cable states and 54 characteristics. The raw data contain 4 rar files, load change.rar, shield grounding.rar, shield grounding after the reduction of insulation.rar, and reduction of insulation between core and shield.rar. There are 153 out files in load change.rar and each of the other 3 rar files has 289 out files. The simulation time of each out file is 0.5s and the sampling frequency is 100kHz. We set 6 fault trigger and load changing moments: 0.073s, 0.147s, 0.210s, 0.284s, 0.357s, 0.440s. The duration of every fault trigger and load changing is 0.04s. The out file contains 10 columns in total. The first column corresponds to the simulation time. From the second column to the last, it is the sheath current of three phase (ABC) in first end of cable and the last end, and the load current of three phase (ABC). The csv file is the processed data. It contains 7038 samples which have been randomly disorganized. Every row is one sample and the first column is the index. The xlsx file shows the results of comparative experiments when activation function, the CNN structure, and the number of iterations are different.
DOI: 10.17632/bwdvdy96mb.1
title: Automated detection of construction workers that work at height and fastening state of safety hooks with wearable sensors

description: This is raw data for the paper "Automated detection of construction workers that work at height and fastening state of safety hooks with wearable sensors" submitted to Automation in Construction.