cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/73cmrfk8x9.1
title: iCHO2441 genome-scale metabolic model

description: Creation of updated CHO Genome-scale metabolic model, iCHO2441 

iCHO1766 was obtained from the Bigg models database (King et al., 2016), while iCHO2291 was obtained via the BioModels database (Malik-Sheriff et al., 2020). The expanded iCHO2441 GeM was constructed by coupling the secretory machinery presented within the iCHO2048 (Gutierrez et al., 2020a) to the recently published updated iCHO2291 (Yeo et al., 2020a). This was achieved by adapting the Jupyter Notebooks developed by Gutierrez et al. (2020) to use the updated iCHO2291 as a base model to which secretory reactions may be added. In brief, information of each secreted product including amino acid composition, presence of a signal peptide, number of disulphide bonds, number of core N-linked glycans, and molecular weight were fed to the notebook and used to add the appropriate secretory pathway reactions to the model (Table S1). For intracellular flux prediction, a custom model was generated for each secreted product using product composition data. For auxotrophy and gene essentiality predictions, a generic IgG structure was used to add secretory reactions to the model (Table S1). As per the recommendation by Hart et al., genes with transformed values less than -3 were classed as ‘not expressed/ negative confidence’ (class -1). Genes with transformed values between -3 and -1.5 were classed as ‘low confidence expressed’ (class 1). Genes with transformed values between -1.5 and 0 were classed as ‘medium confidence expressed’ (class 2). Genes with transformed values greater than 0 were classed as ‘expressed/high confidence’ (class 3). These classifications were mapped to reactions within iCHO2441 using the method described above, where unclassified reactions were given a class of 0. Reconstructions were generated per experiment using the CORDA function for python which took iCHO2441 constrained with experimental uptakes (Table S2) as a base model and the gene confidence classifications as inputs. An in-depth rationale behind this novel approach is presented in supplementary material 1.
DOI: 10.17632/mjzksgsykm.2
title: Immersion bath CAD
DOI: 10.17632/m88gg52wp7.1
title: Arabic Tweets Sentiment Classification 2024

description: Description of Arabic Tweets Sentiment Classification: The folder consists of one CSV file: Arabic_tweets_sentiment.csv Which contains (2,286,128) labeled tweets. The file contains three features: 1. id: Unique ID given for each tweet (removed before training) 2. text: The tweet text in Arabic, cleaned and pre-processed. 3. class: the dataset has 3 classes specifying the tweet sentiment: a. Negative (1,148,870) b. Neutral (613,142) c. Positive (524,116).
DOI: 10.17632/nr7cs764rc.1
title: Large database for the analysis and prediction of spliced and non-spliced peptide generation by proteasomes

description: The following dataset is linked to the paper “Large database for the analysis and prediction of spliced and non-spliced peptide generation by proteasomes” by Specht et al. published by Scientific Data in 2020. The Mendeley dataset contains three files: - ProteasomeDB.csv. This database is the core of the manuscript . It reports cis and trans spliced as well as non-spliced peptide products identified in the in vitro digestions of 55 synthetic substrates with different proteasome isoforms and conditions. Our database accounts for 22,333 product sequences (7,305 non-spliced, 7,323 cis spliced and 7,705 trans spliced product sequences), which are defined as peptide product sequences unique within each sample. Several product sequences are identified in more than one sample of the same substrate. Therefore, the number of unique peptide sequence, i.e. peptide sequences unique within each substrate, is smaller than the number of product sequences. In particular, our database contains 14,433 unique peptide sequences (3,834 non-spliced, 5,011 cis spliced and 5,588 trans spliced unique peptide sequences). The samples were measured by three different mass spectrometers in two independent proteomics centres. The related mass spectrometry files have been deposited to the PRIDE repository with the dataset identifier PXD016782. - proteasomeDB_sql_script.txt, which is the sql script to create the database. - ProteasomeDB.sql, which has been created by using the command mysqldump. It contains the the entire database (including table, schema, script) in sql format. For any further query, please contact directly: - Juliane Liepe, Max Planck Institute for Biophysical Chemistry Email: jliepe@mpibpc.mpg.de - Michele Mishto, King's College London Email: michele.mishto@kcl.ac.uk
DOI: 10.17632/kbbs7zcrc4.1
title: Data for: Air Pollution Knowledge Assessments (APnA) for 20 Indian Cities

description: In this paper, we are presenting databases and results for 20 Indian cities. Due to space constraints and to avoid repetition, several figures and tables are not included in the main text. The Supplementary contains the following (a) for 20 cities - selected urban airsheds as google KML files showing 0.01º grids (b) for 20 cities - urban-rural built area maps, emission projections for PM2.5 between 2015 and 2030, gridded PM2.5 emission maps, modeled PM2.5 concentration maps, and modeled monthly variation of PM2.5 concentrations for the selected airshed (c) for 20 cities – the WRF modeled wind speed, wind direction, temperature, precipitation and mixing height for the airshed as annual summary figures, summary table showing monthly variation, and database of hourly values (d) for all India – list of number of operational ambient monitoring stations and recommendation number of monitoring stations by state (37) and by district (640) (e) for all India – daily average ambient monitoring data for the period of 2011-2015 from all the stations operational under the national ambient monitoring programme (f) for all India – summary of satellite data + global model based surface PM2.5 estimates for the period of 1998 and 2016 by state (37) and by district (640) and (g) for 20 cities – summary of WRF-CAMx modeled PM2.5 source apportionment.
DOI: 10.15468/dl.p4zu25
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Allium fistulosum L.",
 "Year 1970-2000"
 ]
}

 The dataset includes 18 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009306-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/287pkjwtzg.1
title: Data for: Microstructure and mechanical properties evaluation of cathodic arc deposited CrCN/ZrCN multilayer coatings

description: The additional supplementary notes describe the choice of the process parameters and their control of ZrCN and CrCN coatings
DOI: 10.17632/p2rkz49r9p.4
title: Data for: Mental Health discourse and social media activism: how mental health narratives develop online

description: 10 years of 'mental health' AND #mentalhealth Twitter data (2007-2017)
DOI: 10.17632/r4n22f4jfk.1
title: Li-Ion Battery charge/discharge benchmark

description: All tests in the battery laboratory to build the present dataset have been done using a setup that consists of a SBT 10050 battery test system from PEC in combination with an ICP 750 climate chamber from Memmert. The tested cell is a LiFePO4 (LFP) pouch battery from European Batteries. The average operating voltage is 3.2 V. The discharge and charge cut-off voltages are 2.5 V and 3.65 V respectively. The dimensions are height 275mm, length 166.5mm and width 13.3mm, and the weight of the cell is 1010 g. The tests were carried out at an ambient temperature of 23 degrees Celsius. Testing-machine adjustments were performed to improve the reliability and accuracy of the measurements. The first stage of the testing procedure was commissioning according to the USABC. After the capacity had stabilized in the conditioning stage, a full charge/discharge cycle was performed at a rate of C/25.
DOI: 10.17632/787c98kx8r.2
title: China's rainstorms in 1998-2017 derived from TMPA 3B42 product

description: This dataset contains the Access database as well as Geotiff datasets for China's rainstorms during 1998 to 2017. It was generated from TRMM Multi-satellite Precipitation Analysis (TMPA) product 3B42-v7, with 3 hours temporal resolution and 0.25 arc-degree spatial resolution, using python scripts. The scripts, whose function is to identify rainstorm events from time series grid precipitation datasets, have also been included in the database. They can not only be used for identifying rainstorms from TMPA product, but also can be used for identifying rainstorms from any other time series grid precipitation dataset, such as the reanalysis precipitation data or precipitation data interpolated from gauge observations. Please bearing in mind that there are also uncertainties, not only from the method we are using, but also from the original TMPA dataset we are using. Detailed information is referred to Huang et al. 2021. If you are using this dataset, please cite the following paper. Huang Chang, Zhang Shiqiang, Dong Linyao, Wang Zucheng, Li Linyi, Cui Luming. Spatial and temporal variabilities of rainstorms over China under climate change. Journal of Geographic Sciences, 2021, 31(4): 479-496. DOI: https://doi.org/10.1007/s11442-021-1854-8
DOI: 10.15468/dl.xhn5ma
title: Occurrence Download

description: A dataset containing 866 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus angustifolia Marshall",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 866 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009307-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/k9r2d9z999.3
title: Reddit r/AskScience Flair Dataset

description: Reddit is a social news, content rating and discussion website. It's one of the most popular sites on the internet. Reddit has 52 million daily active users and approximately 430 million users who use it once a month. Reddit has different subreddits and here We'll use the r/AskScience Subreddit.

The dataset is extracted from the subreddit /r/AskScience from Reddit. The data was collected between 01-01-2016 and 20-05-2022. It contains 612,668 Datapoints and 25 Columns. The database contains a number of information about the questions asked on the subreddit, the description of the submission, the flair of the question, NSFW or SFW status, the year of the submission, and more. The data is extracted using python and Pushshift's API. A little bit of cleaning is done using NumPy and pandas as well. (see the descriptions of individual columns below).

The dataset contains the following columns and descriptions:
author - Redditor Name
author_fullname - Redditor Full name
contest_mode - Contest mode [implement obscured scores and randomized sorting].
created_utc - Time the submission was created, represented in Unix Time.
domain - Domain of submission.
edited - If the post is edited or not.
full_link - Link of the post on the subreddit.
id - ID of the submission.
is_self - Whether or not the submission is a self post (text-only).
link_flair_css_class - CSS Class used to identify the flair.
link_flair_text - Flair on the post or The link flair’s text content.
locked - Whether or not the submission has been locked.
num_comments - The number of comments on the submission.
over_18 - Whether or not the submission has been marked as NSFW.
permalink - A permalink for the submission.
retrieved_on - time ingested.
score - The number of upvotes for the submission.
description - Description of the Submission.
spoiler - Whether or not the submission has been marked as a spoiler.
stickied - Whether or not the submission is stickied.
thumbnail - Thumbnail of Submission.
question - Question Asked in the Submission.
url - The URL the submission links to, or the permalink if a self post.
year - Year of the Submission.
banned - Banned by the moderator or not.

This dataset can be used for Flair Prediction, NSFW Classification, and different Text Mining/NLP tasks. Exploratory Data Analysis can also be done to get the insights and see the trend and patterns over the years.
DOI: 10.17632/m7xfrdvvjv.1
title: “Effectiveness of Task-Oriented Circuit Training (TOCT) on the Motor Performance of Ischemic Stroke Patients

description: The dataset is a collection of documents that was used to conduct a RCT to evaluate the efficacy of a novel therapeutic approach "Task-Oriented Circuit Training (TOCT)" for ischemic stroke patients.
DOI: 10.17632/pjgjs34hyr.3
title: Liu et al SWAO wtCaCO3%

description: The data file provide coordinates, depth, wtCaCO3% of the surface/coretop marine sediments and the sources for the data, as well as corrections we made based on the source of information.
DOI: 10.17632/3fmjm7ncc6.1
title: Data for: Weed Detection in Soybean Crops Using ConvNets

description: From the set of images captured by the UAV, all those with occurrence of weeds were selected resulting a total of 400 images. Through the Pynovisão software, using the SLIC algorithm, these images were segmented and the segments annotated manually with their respective class. These segments were used in the construction of the image dataset. This image dataset has 15336 segments, being 3249 of soil, 7376 of soybean, 3520 grass and 1191 of broadleaf weeds.
DOI: 10.17632/5hx36chvbf.1
title: Germination performance of alien and native species could shape community assembly of temperate grasslands under different temperature scenarios

description: Rising temperatures due to climate change are expected to interplay with biological invasions, and may enhance the spread and growth of some alien species upon arrival in new areas. To successfully invade, a plant species needs to overcome multiple biological barriers. Among the crucial life stages, seed germination greatly contributes to the final species assembly of a plant community. Several studies have suggested that alien plant success is related to their high seed germination and longevity in the soil. Hence, our aim is to test if the germination potential of alien seeds present in the seed bank will be further enhanced by future warming in temperate dry grasslands, an ecosystem that is among those most prone to biological invasions. We designed a laboratory germination experiment at two temperatures (20 and 28 °C), to simulate an early or late heat wave in the growing season, using seeds from nine common grassland Asteraceae species, including native, archaeophyte and neophyte species. The test was performed on both single and mixed pools of these categories of species, using a full-factorial orthogonal design. The warmer germination temperature promoted neophyte success by increasing germination probability and germination speed, while negatively impacting these parameters in seeds of native species. The co-occurrence of native and archaeophyte seeds at the lower temperature limited the invasiveness of neophytes. These results provide important information on future management actions aimed at containing alien plant invasions, by improving our knowledge on the possible seed-bank response and interaction mechanisms of common species occurring in disturbed natural areas or restored sites.
DOI: 10.17632/7td5x9nvwm.1
title: CHAT GPT

description: chat gpt paper
DOI: 10.17632/rvrz2tmf7j.1
title: Collision Avoidance Models and Approaching Object Acceleration

description: The Matlab m-files allow to reproduce the figure of the paper entitled "Approaching object acceleration differentially affects the predictions of neuronal collision-avoidance models" published in Biological Cybernetics (2023).
DOI: 10.17632/8zcxr9wvrm.4
title: Economic, demographic and corruption data - Latin America and Asian countries

description: The file contains the dataset used for the empirical analysis of the study titled "Economic Growth and Corruption in Emerging Markets: Does Economic Freedom Matter?”. The dataset includes annual data from 19 countries of Latin America (Argentina, Bolivia, Brazil, Chile, Colombia, Costa Rica, Ecuador, El Salvador, Guatemala, Haiti, Honduras, Mexico, Nicaragua, Panama, Paraguay, Peru, Dominican Republic, Uruguay, and Venezuela), 9 countries of Asia (China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, Thailand, and Vietnam), and 2 countries of Oceania (Australia and New Zealand). The investigation period spans 2000 through 2017. The data consists about economic, social, demographic, corruption, political e freedom related indexes and variables [Natural logarithm of Gross Domestic Product per capita; Corruption Perception Index; Economic Freedom Index; Economic Freedom of the World; Foreign Direct Investment as % of GDP (net inflows); Gross fixed capital formation as % of GDP; Inflation Rate as ∆% of consumer price indices; Schooling as average number of years of education received by people ages 25 and older; % of the population living in urban areas; Number of years a newborn infant would live; Number of births per woman (average); Annual population growth rate (%); Index that reflects perceptions of the extent to which a country's citizens are able to participate in selecting their government, as well as freedom of expression/media; Index that reflects perceptions of the likelihood of political instability or politically motivated violence, including terrorism; Index that reflects perceptions of the quality of public and civil services; Index that reflects perceptions of the ability of the government to formulate and implement policies and regulations that promote the development of the private sector; Index that reflects perceptions of the extent to which agents have confidence in and abide by the rules of society (contract enforcement, property rights, police and justice); Index that measures a mature and internally coherent democracy vs. autocracies sharply restrict that suppress competitive political participation; HDI_dummy: Human Development Index related; Tropical_Dummy: related to country’s geographic position (located between the Tropics of Cancer and Capricorn)].
DOI: 10.17632/whmf6d7cv7.1
title: Results and statistical summary for the paper - Simultaneous recording of ultrasonic vocalizations and sniffing from socially interacting individual rats using a miniature microphone

description: Results and statistical summary for the paper - Simultaneous recording of ultrasonic vocalizations and sniffing from socially interacting individual rats using a miniature microphone
DOI: 10.17632/vdgnxsm692.2
title: Buffalo-Pak: Buffalo Breed Dataset from Pakistan for Visual Features Based Classification

description: (1) Buffalo-Pak: A data set of images of 3 different Buffalo species from Pakistan, i.e. Neli Ravi, Khundi, and Mix. (2) Buffalo-Pak data set contains 325 images with 112 (Neli Ravi), 138 (mix), and 75 (Khundi). (3) Buffalo-Pak data set can be used for image classification and segmentation based on their visual features. (4) The data set is referred to for the multiclass problem as it holds several visual features.
DOI: 10.17632/835wchk797.1
title: Academic and Industrial Prospects of Sodium-ion batteries: Combining bibliometric and patent analysis

description: This data set contains literature and patent data about sodium-ion batteries to analyze the technical trends and geographical distribution of sodium-ion battery technology.
DOI: 10.17632/hwwvksbb75.1
title: A Python tool for parameter estimation of “black box” macro- and micro-kinetic models with Bayesian optimization – petBOA

description: We develop an open-source Python-based Parameter Estimation Tool utilizing Bayesian Optimization (petBOA) with a unique wrapper interface for gradient-free parameter estimation of expensive black-box kinetic models. We provide examples for Python macrokinetic and microkinetic modeling (MKM) tools, such as Cantera and OpenMKM. petBOA leverages surrogate Gaussian processes to approximate and minimize the objective function designed for parameter estimation. Bayesian Optimization (BO) is implemented using the open-source BoTorch toolkit. petBOA employs local and global sensitivity analyses to identify important parameters optimized against experimental data, and leverages pMuTT for consistent kinetic and thermodynamic parameters while perturbing species binding energies within the typical error of conventional DFT exchange-correlation functionals (20-30 kJ/mol). The source code and documentation are hosted on GitHub.
DOI: 10.17632/t2r6rszp5c.1
title: JMuBEN

description: The aim of creating JMuBEN dataset is to add to the limited availability of Arabica leaf images that are available online. This dataset will help researchers to be able to test the accuracy of their deep learning models without spending much time going to the field for data collection. The Arabica dataset (JMuBEN) contains images that are useful in training and validation during the utilization of deep learning algorithms used in plant disease recognition and classification. The dataset contains leaf images which were collected from Arabica coffee type and it shows three sets of unhealthy images. In total, 22591 images of Arabica coffee are included in JMuBEN dataset. The data has been cropped to emphasize the region of interest where the disease is seen to reduce the training time by avoiding background learning. The images were also resized to maintain uniformity in shape and size. The images that were smaller were augmented with the aim of preventing over-fitting during training and validation of models. There are a total of 3 files having images of coffee leaves affected by Coffee Rust, Cescospora and Phoma .
DOI: 10.17632/tj54nv46hj.1
title: Electric power load dataset

description: Electric power load (active power load) data is created based on hourly voltage (V), current(I) and power factor(pf) information available at 33/11 KV substation (Godishala, huzurabad, Telangana state, India). Hourly voltage, current and power factor information collected during the period from 01.01.2021 to 31.12.2021. Based these values (V,I and pf)  3-phase load on the substation at each hour calculated. This data consists hourly load, status of the day [weekday:0 and weekend:1],  season[Winter:1, Summer:2 and Rainy:0], hourly temperature and humidity information. While preparing the data total 66 missing values are found. This missing data is due to shutdown of the substation for maintenance or power outage. Missing values are replaced with average of load at previous day and next day but at same time of load data missing (In case of Tuesday, Wednesday, Thursday and Friday). Whereas in case of missing load data related to Monday then average of load at Saturday and Tuesday considered,  Similarly if the missing load data belongs to Saturday then average of load at Friday and Monday is considered.  If the missing load data belongs to weekend then average of load at previous weekend and next weekend considered. This dataset consists total 8760 hourly load data values. Load data available in this data set are in kilo-watts, temperature in degree Fahrenheit and humidity in percentage. It has been observed that load data distribution has  a mean value of 2130kW, standard deviation of 1302kW, minimum load is 412kW and peak load is 6306kW. Total number of hours substation shutdown happened in the year 2021 is 66 hours. During the year 2021, godishala town feeder (F1) has 25 outage hours, Bommakal feeder (F2)  has 71 outage hours, Godishala rural feeder (F3)  has 97outage hours and Raikal feeder(F4)  has 46 outage hours.