cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/hc8s8xfss7.1
title: Data for: Official catch data underrepresent shark and ray taxa caught in Mediterranean and Black Sea fisheries

description: These are the annual Taxonomic Resolution Index (TRI) scores of reported domestic landings (retrieved from the United Nations Food and Agriculture Organisation) of elasmobranchs by Mediterranean and Black Sea countries (1950-2014). The TRI scores are ratios of the number of unique elasmobranch taxa reported (numerator) to the number of commercial taxa occurring in a country's waters (denominator; &gt;10% of EEZ area). Taxonomic scores for both the numerator and denominator are weighted by their taxonomic precision; species receive a full point. In cases when a country reported both a taxon and a higher taxon above it (e.g., reports of thornback ray (Raja clavata) as well as Batoidea) in the same year, points were counted only for the most precise taxon. Tonnage is not considered in TRI, so scores do not reflect the amount of landings reported at each taxonomic level.
DOI: 10.17632/x3xd8yk4bf.1
title: Visual literacy data I

description: Visual literacy among History of Art undergraduates. Dataset.
DOI: 10.17632/6nyh68vtv9.1
title: Pyrosome corpse observations across the undisturbed and anthropogenically disturbed seafloor of the DISCOL experimental area, Peru Basin

description: Deep sea food falls of blooms of upper water fauna are rarely observed. During the SO242-2 expedition to the DISCOL experimental area in 2015, a bloom of pyrosome colonial organisms was observed in the upper waters, with the fate of corpses also observed on the deep sea seafloor with the Ocean Floor Observation System (OFOS) towed camera sled, over a period of several weeks. 13,000+ images were inspected and seafloor pyrosome corpses counted in each image. This data set presents these counts for each image, as well as whether the counts were made on undisturbed seafloor, seafloor ploughed in 1989 as part of the DISCOL project or seafloor turned over earlier in 2015 by epibenthic sled. This data represents a rare example of the recording of the onset and decline in a seafllor food abundance over time. An associated manuscript is in preparation.
DOI: 10.17632/fwxg5mgntn.3
title: IEPAPI：An improved immune epitope prediction method by incorporating antigen presentation and immunogenicity

description: Data S1: training data of eluted ligands
Data S2: training data of immunogenicity
Data S3: independent test data of antigen presentation
Data S4: independent test data of immunogenicity (GBM test data)
Data S5: independent test data of immunogenicity (TESLA test data)
fivefold_val_flags(DataS1): Five-fold cross-validation division file for DataS1
fivefold_val_flags(DataS2): Five-fold cross-validation division file for DataS2
DOI: 10.17632/x4btx35vjf.1
title: Data for: Mining Matters: Natural Resource Extraction and Firm-Level Constraints

description: Dataset for "Mining Matters: Natural Resource Extraction and Firm-Level Constraints" (Journal of International Economics) by Ralph De Haas and Steven Poelhekke
DOI: 10.17632/4k4k3bt3st.2
title: Data of Vietnamese’s life during COVID-19

description: This research mentions Vietnamese’s life over the country, from the North to the Central and the South during COVID-19 pandemic through 590 volunteers from 15 to 76 years old, in multiple demographic profiles, answering our question. Data was collected by online questionnaire, purposefully on social networking platforms commonly used in Vietnam, Facebook and Zalo, taking place from June 15 to June 25, 2021 using the snowball techniques. SPSS software version 20.0 is used for descriptive statistics analysis, correlation test and reliability assessment of Likert scale; from there, helping to detect risks, typical daily living habits, special psychosocial status in the context of the COVID-19 pandemic and key solutions (at individual and national level) in response to the severe impacts of the pandemic. The data set can be a reference source for in-depth surveys on social life, building analytical models, forecasting the specific mood of society in crisis and implicating many important policy solutions so that countries with similar economic, cultural and social characteristics to Vietnam can learn, adapt and overcome the disaster caused by COVID-19.
DOI: 10.17632/r3z83jb292.1
title: Urban sprawl in Canada: Values in all 33 census metropolitan areas and corresponding 469 census subdivisions between 1991 and 2011

description: The dataset presented here provides the degree of urban sprawl across 33 Census Metropolitan Areas (CMAs) in Canada of 2011 together with the 469 Census Subdivisions (CSDs) located within the 2011 boundaries of the CMAs, for the years 1991, 2001, and 2011. The dataset contains the values of  weighted urban proliferation (WUP) and weighted sprawl per capita (WSPC) and their components. The landscape-oriented value of WUP indicates how strongly the landscape within the boundaries of a reporting unit is sprawled per square meter, while WSPC is inhabitant-oriented and reveals how much on average each inhabitant or workplace is contributing to urban sprawl in the reporting unit. The values of the components of the WUP and WSPC metrics are provided as well: percentage of built-up area (PBA), urban dispersion (DIS), land uptake per person (LUP), and urban permeation (UP). The values of full-time equivalents for the numbers of jobs, which were considered in the calculation of LUP values (pertaining to the number of inhabitants and jobs) are also included in order to facilitate future research.
DOI: 10.17632/cn6rj356ts.1
title: C-library raft: Reconstruction algorithms for tomography. Applications to X-ray fluorescence tomography

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract There are many reconstruction algorithms for tomography, raft for short, and some of them are considered “classic” by researchers. The so-called raft library, provide a set of useful and basic tools, usually needed in many inverse problems that are related to medical imaging. The subroutines in raft are free software and written in C language; portable to any system with a working C compiler. This paper presents source codes written according to raft routines, applied to a new imaging modalit... Title of program: raft Catalogue Id: AEJY_v1_0 Nature of problem Reconstruction algorithms for tomography, specially in x-ray fluorescence tomography. Versions of this program held in the CPC repository in Mendeley Data AEJY_v1_0; raft; 10.1016/j.cpc.2011.07.020
DOI: 10.17632/m873dbhy9j.1
title: Fetal Movement Dataset Recorded Using Four Inertial Measurement Units

description: The dataset contains tri-axial accelerometer and tri-axial gyroscope readings from the four IMUs and labels. There are three sub-datasets, which have different ground-truth labelling configurations, included in this dataset. Please note that the labelling is subjective to the mother's perception. The dataset, as a whole, contains recordings spanning 14 weeks from 26th week to 39th week and in total, about 71 hours of recordings. 

The three sub-datasets included are:

Sub-dataset One: 
In this sub-dataset, only the occurrence of the particular type of fetal movement known as the fetal kick is considered for ground-truth labelling. 

Sub-dataset Two:
All types of fetal movement felt by the mother -- including trunk movement, isolated limb movement, and general body movement -- were considered for ground truth-labelling as fetal movements in this sub-dataset.

Sub-dataset Three: 
In this sub-dataset, the emphasis was given to the classification of different types of fetal movements. Three types of fetal movements are labelled: trunk movement, isolated limb movement, and general body movement.

Additional data are provided in three additional 'csv' files, which contains the record number, the Period of Amenorrhoea (POA), start time, and end time of each recording. Also, additional details about the mother and the baby are provided in the README file.

For more details, refer to the README.pdf.
DOI: 10.17632/rk8pjbghct.2
title: Annotated Indonesian Tweets Dataset containing Abusive Words for Sentiment Analysis

description: 999 Indonesian tweets containing abusive words, manually tagged with positive and negative sentiment. Along with this is a list of 20 abusive words frequently used in Indonesian tweets.
DOI: 10.15468/dl.26gzx8
title: Occurrence Download

description: A dataset containing 2217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus americana Marshall",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 2217 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009305-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vhfd4cf2sg.1
title: Data for: Design of a Methanol Reformer for On-Board Production of Hydrogen as Fuel for a 3kW High-Temperature Proton Exchange Membrane Fuel Cell Power System

description: - ANSYS CFX files containing the model for the methanol reformer used for data validation (case for an operating temperature T= 533K, operating pressure p=1 atm, steam to methanol ratio S/M = 1 and molar flow rate of methanol per weight of catalyst at the reformer inlet 𝑊/𝐹𝐶𝐻3𝑂𝐻,𝑖𝑛=10 - Results file for the case described above
DOI: 10.17632/x4r7hpn4cz.1
title: Dataset of the type of the Internet use and web 2.0 digital competence of students in a Russian University

description: Final sample of 205 students that completed the online Russian version of the “Web 2.0 basic digital competence of university students” (COBADI) questionnaire.
DOI: 10.17632/jyw3t5z93j.1
title: Multi-resolution T1w Brain MRI simulated data

description: This simulated data is based on the patient-specific brain phantoms that are generated by utilizing high resolution real subject 3D brain MRI data and performing automatic segmentations for all brain tissues. The brain MRI imaging dataset is obtained from the HCP healthy young adult sample. We selected two hundred unprocessed structural T1w brain MRI scans for phantom generation. The phantoms are created by applying the Philips proprietary automated complete brain segmentation tool on HR T1w structural MRI data. 

Tissue parameters including longitudinal relaxation time (T1), transverse relaxation time (T2) and proton density (PD) are assigned to each tissue in each phantom. These parameters are collected from literature and random samples are taken from the bounded Gaussian bell distribution of given mean and standard deviation for each
tissue relaxation times.

MRI data is simulated for T1w brain MRI using our Matlab-based simulation framework. Using the phantoms as input, MRI data is simulated at two different resolutions for voxel aligned paired data, i.e. HR and LR of 0.7𝑚𝑚 and 1𝑚𝑚 respectively in both phase encoding directions. A fixed slice thickness of 1𝑚𝑚 (axial) is used for both HR and LR data. To have HR-LR paired data aligned on voxel level, zero padding in k-space is performed for LR data, i.e. the size of the LR k-space is made equal to the size of the HR k-space and then Fourier reconstructions are performed. The resulting size of simulated data is 320x320x179 for both HR and LR MRI. Ernst angle solution for a gradient echo (GRE) sequence with fixed sequence parameters of TR 18𝑚𝑠, TE 10𝑚𝑠 and FA of 30◦ is used to simulate all pairs of data. The T1w intensities are computed for each voxel. A complex Gaussian noise (standard deviation 0.4) is generated, which is derived from the simulated WM (intensity range 0−4095) in the MRI volume. The generated complex Gaussian noise is added to the real and imaginary part of the k-space data before FFT reconstructions.

It is essential to emphasize that our simulation process intentionally did not introduce any MR imaging artifacts.

The folder structure of the paired HR-LR database is as follow:
1. HR (contains 200 T1w brain MRI simulated images in Nifti format at in-plane resolution of 0.7x0.7𝑚𝑚 with slice thickness of 1𝑚𝑚)
2. LR (contains 200 T1w brain MRI simulated images in Nifti format at in-plane resolution of 1x1𝑚𝑚 with slice thickness of 1𝑚𝑚)
3. Figures (the resulting figures of brain MRI SR in png format for the associated article "Effective deep-learning brain MRI super resolution using simulated training data")
DOI: 10.17632/dyspdzxpzz.1
title: Do Tax Revenues Track Economic Growth? Comparing Panel Data Estimators

description: This files contain materials to replicate all of the empirical results in the main paper.
DOI: 10.17632/nvwfdhhvvv.1
title: Data for: Venture Capital Restrained After Sarbanes-Oxley

description: Underlying data and replication files for Venture Capital Restrained After Sarbanes-Oxley, by Tyler Atkinson and John V. Duca --------------------------------------------------------- Data and estimation results for Table 1 can be found in the Eviews work file VentureCapital_and_SOX.wf1 Estimation results for Table 2 can be found by running the Stata do file gregory_hansen_test.do. This requires an ssc install of ghansen Estimation results for Table 3 can be found by running the matlab file Kjriwal_Perron_test.m. The additional files necessary to run this code can be found at Pierre Perron's code page: http://people.bu.edu/perron/code.html
DOI: 10.17632/s42kpg8h37.1
title: Tomato Maturity Detection and Quality Grading Dataset

description: (1) Everyone wants to purchase high-quality, fresh fruits. People nowadays are so concerned about their health and conscious about what they should consume and what they should not. According to them, rotten fruits are detrimental to their health. As a result, the sale of fruits suffers which brings significant economic ramifications. One of the main reasons behind fruits getting defective is that the maturity detection process is still manual in Bangladesh and fruits would go rotten with the passage of time if it is not harvested at the proper time. To understand the proper harvesting time it is crucial to detect the mature and immature fruit properly. Tomato is one of the significant, widely consumed, well-liked, and nutrient-dense crops grown throughout Bangladesh. According to the estimation, in Bangladesh, every day there are significant financial losses because tomatoes become rotten easily. Hence, automated classification of mature, immature, fresh, and rotten tomato identification is indispensable to overcome this situation and bring out the benefit to fruit growers, retailers, and processing firms.

(2) In the recent era, computer vision techniques are very promising in performing such types of classification and detection tasks.

(3) With a view to developing computer vision-based algorithms, an extensive tomato dataset is presented containing Tomato Maturity Detection Dataset and Tomato Quality Grading Dataset. Tomato Maturity Detection Dataset consists of two classes namely immature and mature tomatoes whereas Tomato Quality Grading Dataset contains fresh and rotten tomatoes. The classifications of this dataset are done with the help of a domain expert from an agricultural institute.

(4) A total of 2986 images of mature, immature, fresh, and rotten tomatoes were collected from Sher-e-Bangla Agricultural University. Then from these original images, a total of 10,000 augmented images are produced by using rotation, zoom, flipping, and scaling techniques to increase the data number.
DOI: 10.17632/3z8pwhxj5r.1
title: Data for: The Impact of Renewable Energy Forecast Errors on Imbalance Volumes and Electricity Spot Prices

description: EPEX SPOT intraday quarter-hourly data for Germany for 2014
DOI: 10.17632/74t7kcdgkr.1
title: Datasets on CFRP specimens after low-velocity impact tests: 8-layer cross-ply laminates

description: This dataset is developed to study carbon fiber reinforced plastics laminates after low-velocity impact tests. It is related to a Data in Brief article, which describes the experiment in detail, and the main article on how the authors used the datasets. The low-velocity impact test was conducted with various impact conditions, changing the impactor shape, the impact energy and the stacking sequence, which generates barely visible impact damage. This dataset is on 8 layer cross-ply laminates. See the other Mendeley data URLs to find the data on the other stacking sequences. 

“impacted surface image” folder: The impacted surface image (78.933mm * 78.933mm)
“internal damage” folder: The c-scanning image after the impact. Each scale is on the image.
“non-impacted surface image” folder: The non-impacted surface image (78.933mm * 78.933mm)
“surface profile” folder: The surface profile of the impacted surface. (78.933mm * 78.933mm)
“impact condition_c8.xlsx”: The impact condition.
DOI: 10.17632/fpbfmc9vnm.1
title: Soil moisture and temperature data in agricultural soil

description: This data set contains measurements of soil moisture and temperature collected at a sugar cane crop field in Paraguay, 2022. The details of the experiments have been sent as a possible publication to the journal Computers and Electronics in Agriculture, under the title Data-driven Spatio-temporal estimation of soil moisture and temperature based on Lipschitz interpolation, by J.M. Manzano, L. Orihuela, E. Pacheco and M. Pereira.

Data collected from 13:00:00 (UTC) on March 09th 2022 until 03:00:00 March 31st 2022 is presented. In the database, the time coordinate is expressed in hours, relative to the first measurement. It contains 15776 data points. The data is structured in two CSV files, defined as follows

- First table: measurement data, with the following fields:
    - Timestamp 't', with format DD-MMM-YYYY HH:mm:ss.
    - Node identifier 'Node_ID', which is an integer from 1 to 12.
    - Temperature 'z_T', measured in Celsius degrees.
    - Soil moisture 'z_M', measured as a percentage.

- Second table: context data, with the following fields:
    - Node identifier 'Node_ID'.
    - Coordinate x measured in meters.
    - Coordinate y measured in meters.

According to the manufacturer's specifications, the noise in the measurements is less than 2%. The dataset is open to be used by any researcher, in studies related to machine learning, agricultural soil monitoring or estimation, and Spatio-temporal dynamics or processes governed by partial differential equations, among others. Citing the aforementioned work is appreciated.
DOI: 10.17632/d42s69bccz.1
title: Atomsk: A tool for manipulating and converting atomic data files

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract We present a libre, Open Source command-line program named Atomsk, that aims at creating and manipulating atomic systems for the purposes of ab initio calculations, classical atomistic calculations, and visualization, in the areas of computational physics and chemistry. The program can run on GNU/Linux, Apple Mac OS X, and Microsoft Windows platforms. Many file formats are supported, allowing for easy conversion of atomic configuration files. The command-line options allow to construct superc... Title of program: Atomsk Catalogue Id: AEXM_v1_0 Nature of problem Atomistic simulations require the generation of atomic data files. Few software are available to construct atomic systems containing dislocations, especially in anisotropic media. Versions of this program held in the CPC repository in Mendeley Data AEXM_v1_0; Atomsk; 10.1016/j.cpc.2015.07.012
DOI: 10.17632/rdb5cgfczr.1
title: Data for: Exit polls, turnout, and bandwagon voting: Evidence from a natural experiment

description: Abstract of associated article: We exploit a voting reform in France to estimate the causal effect of exit poll information on turnout and bandwagon voting. Before the change in legislation, individuals in some French overseas territories voted after the election result had already been made public via exit poll information from mainland France. We estimate that knowing the exit poll information decreases voter turnout by about 11 percentage points. Our study is the first clean empirical design outside of the laboratory to demonstrate the effect of such knowledge on voter turnout. Furthermore, we find that exit poll information significantly increases bandwagon voting; that is, voters who choose to turn out are more likely to vote for the expected winner.
DOI: 10.17632/6fhw732ccz.1
title: ADS-B Message Injection Attacks Dataset

description: This dataset includes authentic ADS-B messages samples from the OpenSky Network and injected messages simulated using PyCharm. This dataset contains a total of 22,316 messages where legitimate messages are labeled with 0 and injected malicious messages labeled with 1, 2, and 3 for the path modification, ghost aircraft injection, and velocity drift attacks, respectively. This dataset contains 17 features of which 15 are extracted from ADS-B messages, the Received Signal Strength (RSS), and the Doppler shift. A supplementary file containing raw ADS-B messages of the selected receiver is also provided. This dataset can be used to train machine learning models in order to build robust ADS-B message injection attack detection techniques.
DOI: 10.17632/d7m3746byk.1
title: Sediment and soil quality at Ashfield Flats Reserve, Western Australia

description: Elemental (including Al, As, B, Ba, Be, Ca, Cd, Ce, Co, Cr, Cu, Fe, Ga, Gd, Ge, K, La, Mg, Mn, Mo, Na, Nb, Nd, Ni, P, Pb, S, Sc, Si, Sr, Th, Ti, V, Y, Zn, Zr) concentrations, pH, electrical conductivity, microplastics, Longitude-Latitude and UTM Zone 50 coordinates, sample material type, sampling strata, and sample identification codes for 231 samples of sediment or soil collected in 2019, 2020, and 2021 from Ashfield Flats Reserve, an urban nature reserve in Western Australia.
Ashfield Flats Reserve (approx. 40 ha) is listed as a Western Australian Bush Forever Site (No. 214) and fringes the Swan-Canning Estuary. It is also listed in the Directory of Important Wetlands in Australia and contained a threatened ecological community of temperate saltmarsh plant species. It is the largest remaining salt marsh in the Swan-Canning Estuary, but is impacted by altered hydrology, several stormwater drains, and poor water quality from historical groundwater contamination. 
Sampling and analysis was conducted to assess the severity and extent of contamination of sediments and soils with trace elements, nutrients, and microplastics. In particular it was of interest whether stormwater drains which cross the reserve were contributing contaminants to adjacent wetlands.