cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/2949w93zdv.1
title: Data for: High resolution crustal model of SE Tibet from joint inversion of seismic P-wave travel-times and Bouguer gravity anomalies and its implication for the crustal channel flow

description: High resolution crustal model of SE Tibet from joint inversion of seismic P-wave travel-times and Bouguer gravity anomalies
DOI: 10.15468/dl.tmkt3x
title: Occurrence Download

description: A dataset containing 2417 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pithecellobium dulce (Roxb.) Benth.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 2417 records from 224 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009270-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/hf7zvv8v8p.1
title: Data for: Job Goals During High School Related to Greater Academic Success

description: The rows of the Spreadsheet highlighted in green are of the people who had a job goal during high school. The ones highlighted in red are of the ones who did not have a job goal. The dependent variable is located in Column E, which is high school grades. Other statistics were also collected during the study in hopes of establishing a relationship, and basic information was also gathered. Each column represents the results to one question in the ten question survey. At the tables in the bottom, the totals of each type of grade (e.g. A+, A, A-) for the "Yes, I had a job goal" and 'No, I did not have a job goal" were calculated and displayed. The graphs visually depict the main table as well as the total tables for the grades of the respondents of the "Yes" and "No" categories.
DOI: 10.17632/s69p2r66r9.1
title: The synergistic effect of digital transformation and R&D investments on enterprise innovation performance

description: This study uses A-share listed companies in Shanghai and Shenzhen from 2013 to 2021 as samples, and conducts the following sorting and screening: (1) Delete the samples of companies with ST and * ST; (2) delete the sample of financial companies; (3) delete the samples with missing data, and finally, gain 21,577 sample observation values of 3446 enterprises. The data comes from CSMAR and CNRDS databases, and has been standardized.
DOI: 10.17632/c49hdpxvyw.1
title: Render Lighting Dataset: A Collection of Rendered Images with Varied Lighting Conditions using Blender Render Engines

description: This dataset consists of a wide range of 3D rendered images that showcase various 3D primitive shapes under different lighting conditions. These images have been created using Blender's Cycles and Eevee Render Engines, and there are a total of 63,648 RGB images available for researchers to use in their analysis and experimentation. The Blender source file has also been provided for easier reproducibility.

Each rendered image in the dataset features primitive shapes such as Cube, Cone, Cylinder (Hollow), Icosphere, Sphere (Subdivided Cube), and Torus, with additional geometry to enhance texture mapping and UV unwrapping.

The dataset offers six different lighting setups that include Area Light, Spot Light, Point Light, Tri Light (built-in addon), HDRI (Sunlight), and HDRI (Overcast). Additionally, each rendering has been adjusted using Blender's Color Management panel, with View Transform and Look options tailored to four distinct settings: AGX (None), AGX (Punchy), Filmic (None), and Filmic (High Contrast).

With 17 different camera angles capturing each rendered scene, researchers can explore the interplay between lighting, materials, and geometry from various perspectives. The dataset also includes 13 distinct materials, such as Rough Concrete, Fabric Denim, Fabric Leather, Clear Glass, Brushed Steel, Corroded Steel, Polished Gold, Gold Paint, Glossy Plastic, Coastal Sand, Cracked Mud, Terracotta, and Plywood. This diverse range of materials allows researchers to study material properties and visual aesthetics in great detail.

The Render Lighting Dataset is a valuable resource for advancing research in computer graphics, machine learning, and other related fields. Whether investigating rendering algorithms, studying material interactions, or developing computer vision models, this dataset provides a robust foundation for exploration and analysis.
DOI: 10.17632/vxhx934tbn.1
title: Movement Sensor Dataset for Dog Behavior Classification

description: The dataset includes movement sensor data from sensors placed on the collar and the harness of a dog and recorded while the dog is given tasks or activities to perform. The task are: galloping, lying on chest, sitting, sniffing, standing, trotting, and walking. The movement sensors used are: ActiGraph GT9X Link (ActiGraph LLC, Florida, USA) and they include 3D accelerometer and 3D gyroscope. The sampling rate used is 100 Hz. The dataset is described in more detail in the data description article: Vehkaoja, A., Somppi, S., Törnqvist, H., Valldeoriola Cardó, A., Kumpulainen, P., Väätäjä, H., Majaranta, P., Surakka, V., Kujala, M. V., Vainio, O., Description of Movement Sensor Dataset for Dog Behavior Classification, Data in Brief, 2021. The behavior classification results obtained with the dataset are published in: Kumpulainen, P., Valldeoriola Cardó, A., Somppi, S., Törnqvist, H., Väätäjä, H., Majaranta, P., Gizatdinova, Y., Hoog Antink, C., Surakka, V., Kujala, M. V., Vainio, O., and Vehkaoja, A., Dog behaviour classification with movement sensors placed on the harness and the collar, Applied Animal Behavior Science, 2021. The authors of the dataset request researchers to refer to the aforementioned publications when using the data and publishing results produced using it.
DOI: 10.17632/b6sgmp56mj.2
title: Evaluation of sustainable construction understanding among AEC professionals

description: The questionnaire and responses of the evaluation of sustainable construction understanding among AEC professionals in Nigeria's AEC industry
DOI: 10.17632/gmxf2f45zx.1
title: Effects of rescue analgesia with serratus anterior plane block on moderate-to-severe pain and oxygenation after video-assisted thoracic surgery

description: Video-assisted thoracic surgery (VATS) is a common surgical procedure that is frequently associated with substantial postoperative pain. However, rescue analgesia using opioids is associated with several adverse effects. The serratus anterior plane block (SAPB) has been demonstrated to be effective as part of multimodal analgesia. This study aimed to evaluate the effects of rescue analgesia using SAPB after VATS. Our data revealed that rescue analgesia with SAPB on the first postoperative day provided significantly greater pain relief and oxygenation than opioids in patients undergoing VATS. However, we observed no inter-group differences in postoperative analgesic consumption, incidence of chronic pain, or quality of life.
DOI: 10.17632/rkw2g38rjp.1
title: Data set for the supplementary data analyses for the associations of child maltreatment and diabetes in adulthood and the mediating effect of personality functioning

description: This data set supports the research article ‘supplementary data analyses for the associations of child maltreatment and diabetes in adulthood and the mediating effect of personality functioning' (Zara et al., 2022). Representative data of the German population were collected between October and November 2016 (N = 2,510) and May and July 2019 (N = 2,531), yielding a total of N=5,041 participants . The data set includes participants’ socio-demographic variables (age, gender, level of education, partnership status and income), and the raw data of the items  as well as the sum scores for the Childhood Trauma Questionnaire (CTQ), the 4-Item PatientHealth Questionnaire (PHQ-4) and the short version of the OPD Structure Questionnaire (OPD-SQS). For diabetes, a dichotomous variable is included.
DOI: 10.17632/5sk3zj3mgf.1
title: Dataset for: Retraction through pipeline

description: Retraction through pipeline
DOI: 10.17632/pn89k8d3bb.1
title: Data for: TWO DECADES OF RESEARCH ON EARLY CAREER FACULTIES (ECFs): A BIBLIOMETRIC ANALYSIS OF TRENDS ACROSS REGIONS

description: The SCOPUS and WoS data set for ""TWO DECADES OF RESEARCH ON EARLY CAREER FACULTIES (ECFs): A BIBLIOMETRIC ANALYSIS OF TRENDS ACROSS REGIONS" paper
DOI: 10.17632/73zgh9fypk.1
title: Corporate foreign bond issuance and interfirm loans in China

description: Replication package for Corporate foreign bond issuance and interfirm loans in China, accepted in the Journal of International Economics
DOI: 10.17632/pb5xpv8z5r.1
title: Graphite// NMC synthetic V vs. Q & duty cycle datasets

description: These datasets were calculated using the mechanistic modeling approach. See “Big data training data for artificial intelligence-based Li-ion diagnosis and prognosis“ (Journal of Power Sources, Volume 479, 15 December 2020, 228806) and "Analysis of Synthetic Voltage vs. Capacity Datasets for Big Data Li-ion Diagnosis and Prognosis" (Energies, under review) for more details The V vs. Q dataset (Gr-NMC_Co25_cha_n) was compiled with a resolution of 0.01 for the triplets and C/25 charges. This accounts for more than 5,000 different paths. Each path was simulated with at most 0.85% increases for each. The dataset contains more than 700,000 unique voltage vs. capacity curves. 4 Variables are included, see corresponding read me file for details and example how to use. The duty cycle dataset is composed of more than 140,000 duty cycles with one voltage curve at most every 200 cycles (one every 10 cycles for cycles 1-200). 15 variables are included in the duty cycle dataset (Gr-NMC_Co25_cha_142216duty). See corresponding read me file for details and example how to use.
DOI: 10.17632/gystn6d3r4.2
title: Time Series Dataset for Risk Assessment in Supply Chain Networks

description: This dataset is generated via simulation of a probabilistic risk assessment model and a Linear Programming models to evaluate Risk Index and Total supply chain cost using MATLAB simulink. This dataset can be utilized for sequence-to-sequence forecasting and multi-labelled classification problems related to Supply Chain Risk Management (SCRM). This dataset can also be used for evaluating Non-linear Autoregressive models and Deep Neural Networks for supply chain networks. The dataset is published for academic purposes only, with limited usage after careful validation of norms and permissions as stated by the owner.
DOI: 10.17632/9xd46s6hjv.3
title: Dataset to Identify Behavioral Disorder

description: The purpose of the present data set is to detect positive or negative thoughts to identify behavioral disorders of individuals via a combination of Natural Language Processing (NLP) mechanisms. Negative thinking refers to a pattern of thinking negatively about yourself and your surroundings. While everyone experiences negative thoughts now and again, negative thinking seriously affects the way you feel about yourself and the world; it even interferes with work/study and everyday functioning. That could be a symptom of a mental illness, such as depression, anxiety, disorders, personality disorders, anger, sadness, frustration, guilt, embarrassment, irritation, jealousy, or fear and schizophrenia. Positive thinking is like an optimistic person who sees good things everywhere and is generally confident and hopeful of the future. From the optimist's point of view, the world is full of potential opportunities. 

Individuals’ statuses were collected using Online Social Networks (OSN) like Facebook, Twitter, Instagram, and Reddit, matching both positive and negative thinking. For research purposes, thoughts were collected using specific positive keywords such as #Success, #Life, #Happiness, #Dream, etc. and negative keywords such as #Difficulties, #Feeling, #Failure, #Worry and many more. To find these keywords, as a reference, I have used a dataset [1] of 150 positive and 150 negative adjectives describing personality characters and another database [2] of English EMOtional TErms (EMOTE), which provides positive and negative subjective ratings for 1287 nouns and 985 adjectives.

References:
[1] Raslescu, Andreea; Kreicker, Sophie; Gillespie, Amy; Berners-Lee, William; Murphy, Susannah E; Harmer, Catherine J (2022), “UK dataset of valence, imageability and frequency ratings of 300 adjectives for use in cognitive-emotional tasks”, Mendeley Data, V1, doi: 10.17632/kgk3jbx9xb.1
[2] Grühn, D. (2016). An English Word Database of EMOtional TErms (EMOTE). Psychological Reports, 119(1), 290-308. https://doi.org/10.1177/0033294116658474
DOI: 10.17632/c696dvvynf.2
title: Genetic determinants of host tropism in Klebsiella phages

description: Bacteriophages play key roles in bacterial ecology and evolution and are potential antimicrobials. However, the determinants of phage-host specificity remain elusive. Here, we isolate 46 phages to challenge 138 representative clinical isolates of Klebsiella pneumoniae, a widespread opportunistic pathogen. Spot tests show a narrow host range for most phages, with <2% of 6,319 phage-host combinations tested yielding detectable interactions. Bacterial capsule diversity is the main factor restricting phage host range. Consequently, phage-encoded depolymerases are key determinants of host tropism, and depolymerase sequence types are associated with the ability to infect specific capsular types across phage families. However, all phages with a broader host range found do not encode canonical depolymerases, suggesting alternative modes of entry. These findings expand our knowledge of the complex interactions between bacteria and their viruses and point out the feasibility of predicting the first steps of phage infection using bacterial and phage genome sequences.

List of contents:

1. Tables: 
   1.1 Depolymerase_DB (used to detect Dpos in phages)
   1.2 Klebsiella_phages_review (Phages from the literature with known capsular tropism)
   1.3 Phage_killing_curves (raw data of bactericidal assays performed)
   1.4. Phage_receptors (list of candidate bacterial receptors) 

2. Scripts: 
To obtain the True Positive Rate (TPR) of bacterial and phage traits to predict strain spotting and phage capsular tropism, respectively. 

3. PDB files of predicted receptor binding proteins (RBPs) of phages
DOI: 10.17632/zyz6cznm5h.3
title: Image-based dataset of artifact surfaces fabricated by additive manufacturing with applications in machine learning

description: A 2D Laser Profiler KEYENCE LJ-V7000 series is equipped above an FDM machine. After each layer deposition, the laser scanner acquires the 3D point cloud of the upper surface. Then the 3D point cloud is pre-processed to achieve the target surface of the part. Then the top surface is segmented from the point cloud and converted to a 2D depth image provided with this article.
DOI: 10.17632/f6j9nsyy7h.1
title: Green Jobs Research Data (1984-2021)

description: The green jobs research and publication dataset, which was indexed by Scopus from 1984 to 2021. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/8y2d9hwbk7.1
title: Data for: Do you need cobalt ore? Estimating potential trade relations through link prediction

description: From 2009 to 2018, the international cobalt ore trade data has been de reprocessed.
DOI: 10.17632/r7rrf8wn99.3
title: Particle Image Velocimetry (PIV) measurement data for backward facing step flows with and without periodic perturbations

description: Flow fields downstream of a backward-facing step with a Reynolds number (UH/\nu) of 9630 were measured using a 2D2C PIV system. Freestream velocity is U=5.7m/s, H=0.025m. Flow was also perturbed using a synthetic jet actuator deployed at the separation point with a range of perturbation frequencies (St= 0.04 to 0.39) and amplitudes (u_A/U= 0.3 to 0.9) . A total of 2000 image pairs were acquired at a rate of 50 Hz for the unperturbed flow, 47 Hz for the flow perturbed at 70 Hz and 49 Hz for other perturbed flow. In this data set, there are a total of 37 data files saved in Matlab2013 MAT format. Files with a name 'f(a)c(b)Vec1.mat' have a size of 3280(spatial locations)*2000(number of snapshots)*2(two velocity components). Unit is m/s. Here in the file name, a=[0:1:9], 0:unperturbed flow, 1:perturbed at 10Hz, 2:20Hz, 3:30Hz, 4:40Hz, 5:50Hz, 6:60Hz, 7:70Hz, 7:70Hz, 8:80Hz, 9:90Hz; corresponding to St=fH/U=[0 0.0439 0.0877 0.1316 0.1754 0.2193 0.2632 0.3070 0.3509 0.3947]; b=[1:1:4], corresponding to perturbation amplitude of u_A/U=[0.3 0.5 0.7 0.9]. The file 'X.mat' and 'Y.mat' is the stream-wise and vertical position respectively. Both files have a size of 3280 and normalized using step height, H. More details about the experiment were described in Li, Z.Y., Guo, S., Bai, H.L. & Gao, N. 2019 Combined flow and heat transfer measurements of backward-facing step flows under periodic perturbation. Int J Heat Mass Trans 130, 240–251, 10.1016/j.ijheatmasstransfer.2018.10.077. I am available at gaonan@hit.edu.cn, or a permanent email gaonum@126.com
DOI: 10.17632/wfcf2f6mmf.1
title: 2006 to 2016 average production values and dependency ratios for Germany

description: This dataset contains the 2006 to 2016 average production values of pollination dependent crops cultivated in Germany, their minimum, mean and maximum dependency ratios as well as empirical estimates of their own price elasticity of demand.
DOI: 10.17632/2gzn42dcvr.1
title: Data for: Dosimetric end to end tests in a national audit network: 3D conformal radiotherapy audits are still relevant

description: Supplemental Table 1: Average and SD dose variation for the Level III audit 6X data. Column "no." has the number of times the dose variation was calculated. Column "a" is the raw dose variation from the audit. Column "b" is the dose variation corrected for the facility stated output (fac. stated output offset by 0.6% when there is a kQ mismatch). Column "c" is the dose variation corrected for case 1 point 1. Colours indicate the different cases.
DOI: 10.17632/9dmd8sr3ht.1
title: SA-PN-TEC: Pink noise sounds and EEG files

description: Pink noise sounds with a length of 2.73 seconds calibrated to three headphone models: Atvio® supra-aural headphones, Shure® SRH1840 circum-aural headphones, and Apple® EarPods® intra-aural headphones. Sample rate: 44100Hz. Electrophysiological data in GDF format of 30 individuals listening to pink noise for five minutes before and after 30 days of daily exposure. There are 29 available datasets for the first session and 25 for the last session. Sample rate: 250 Hz. Electroencephalography was used for the recording of the brain activity. Text files with electrode positions, ID of recordings, heart rate, sex of subjects and groups.
DOI: 10.17632/x7f5y8mw59.2
title: Gender

description: This research data describes gender
DOI: 10.17632/rtn8t47t6j.1
title: Online housing search dataset: Information flows of real estate platform users

description: The information flow data are generated from user-generated data of Funda.nl, the largest online housing market platform of the Netherlands. The datasets contain the inflow and outflow of hits (mouse clicks, opening of webpages, etc.) from one municipality to another, where the municipality of the user defines the origin and the municipality of the property that is viewed defines the destination. The data capture real behavior of the platform users. The flow data are based on 1.1 billion hits that are made by the users of the website in the first six months of 2018. The underlying data are collected by Google Analytics, Google's web analytics service. Funda uses these data for statistics to gain insights in the platform's usage, to maintain platform stability, and for product development. These proprietary data of Funda are used to generate the information flows between municipalities. In the full sample we have 148,216 information flows between municipalities in the Netherlands, among which 313 zero flows. The data include subsamples for different types of platform users as user search intentions range from serious to fully recreational. The data enable researchers to analyse housing search behavior from a novel perspective. The data are, for instance, relevant for housing market researchers, digital economists, and economic geographers.
DOI: 10.17632/ns9t2shxhd.1
title: Data for: Perception and Flagging of Loanwords – A diachronic case-study of Māori loanwords in New Zealand English

description: This spreadsheet contains the loanwords we extracted from the MLW corpus.
DOI: 10.17632/w3ctx4cwmy.1
title: Data for impact evaluation of mini-grids

description: This repository contains the CoSMMA database (Collaborative Smart Mapping of Mini-grid Action) as well as supplementary data for projects whose impact has been tested using nighttime light reported in Berthelemy and Maurel, A sky view evaluation of the impact of mini-grid projects on
progress towards SDG7, Journal of Development Effectiveness, 2024.