cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/jgf6m7x8nb
title: Closed-Loop AUtomated Drug Infusion regulAtor (CLAUDIA): a clinically translatable, closed-loop drug delivery system

description: Data and code used in the publication in the journal "Med" titled: "Closed-Loop AUtomated Drug Infusion regulAtor: a clinically translatable, closed-loop drug delivery system" (doi.org/10.1016/j.medj.2024.03.020). The code includes: SIMULINK model of the system used in controller development (adapted from Mage, P., Ferguson, B., Maliniak, D. et al. Closed-loop control of circulating drug levels in live animals. Nat Biomed Eng 1, 0070 (2017). https://doi.org/10.1038/s41551-017-0070), Python code to implement the controller, Python code for data analysis and figure creation, and the TreeAge software used for the cost effectiveness analysis. We also upload the datafiles for the data used to create the figures in the manuscript.
DOI: 10.17632/ycjd7mdsbs
title: Facial Recognition Dataset FULL (part 2 of 4)

description: Includes face images of 11 subjects with 3 sets of images: one of the subject with no occlusion, one of them wearing a hat, and one of them wearing glasses. Each set consists of 5 subject positions (subject's two profile positions, one central position, and two positions angled between the profile and central positions), with 7 lighting angles for each position (completing a 180 degree arc around the subject), and 5 light settings for each angle (warm, cold, low, medium, and bright). Images are 5184 pixels tall by 3456 pixels wide and are saved in .JPG format.
DOI: 10.17632/55byz6dzbt
title: "Quantitative Assessment of the Impact of Vegetation Cover and Climate Variability on Runoff in Central Asia Using the Budyko Model"part of the data

description: This dataset provides quantitative data on the effects of vegetation cover and climate variability on runoff in Central Asia.
DOI: 10.17632/bbbf2ng3bz
title: COVID-19 Outbreak: A Data Sheet on Panic Buying among Malaysians during Movement Control Order (MCO)

description: Since the number of infections of COVID-19 in Malaysia dramatically increase, the government then decided to announce Movement Control Order (MCO) to all Malaysians for two weeks. As a consequence to this announcement, most Malaysians experienced panic buying situation. This descriptive data on panic buying situation among consumers during the first stage of MCO A survey was conducted throughout the country including Sabah and Sarawak using an open-ended questionnaire that was distributed online.
DOI: 10.17632/dzgybx3dgj
title: Data for: Functional Reconstruction of Mandibular Segment Defects with Individual Preformed Reconstruction Plate and CTA-aided Iliac Crest Flap

description: More cases and case photos are provided in the Appendices.
DOI: 10.17632/wcgbsgsfdg
title: FAR, FRR, FTC, EER, DATA OF AITAM COLLEGE DATA_SET

description: FAR, FRR, FTC, EER, DATA OF DIFFERENT FINGERS,FACES AND VOICE FROM AITAM COLLEGE DATA_SET
DOI: 10.6084/m9.figshare.25567083.v1
title: Unraveling interspecies cross-feeding during anaerobic lignin degradation for bioenergy applications

description: "arch_bacMAGs_CAZy" in folder: CAZy for archaeal and bacterial MAGs"bacMAG_emapper" in folder: emapper results for bacterial MAGs"bacterial_MAGs_fna" in folder: fna files for bacterial MAGs "4archaeal_MAGs_emapper" in file: emapper result for four archaeal MAGs<br>
DOI: 10.17632/bvt7sv26fj
title: Computation of total cross-sections for electron capture in high energy collisions. II

description: Title of program: CDW Catalogue Id: ACFA_v1_0 Nature of problem Calculate the cross-section for electron-capture in high energy ion- atom collision. Versions of this program held in the CPC repository in Mendeley Data ACFA_v1_0; CDW; 10.1016/0010-4655(83)90062-0 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/pw7kcfhh4y
title: Navigating ‘C’ of the Spices Model in Twin Cities of Pakistan

description: This qualitative data was collected to explore practices regarding community–based activities (CBAs) of the undergraduate outcome–based integrated curriculum in medical colleges of twin cities (Rawalpindi–Islamabad) of Pakistan. The study identifies gaps and recommendations for implementing community–oriented and community–based medical education (COME & CBME) at the undergraduate level in Pakistan. The analysis shows that the lack of learning outcomes, assessment strategies, and supervisory structure hindered any improvement in the CBAs. The dominance of the clinical faculty and the Community Medicine faculty's limited motivation were identified as significant challenges hindering advancement in the CBME. The regulatory authority was proposed to combat pre–clinical versus clinical dilemmas and interdisciplinary and interprofessional issues, including multi–sectoral and community engagement challenges faced by the COME in Pakistan.
DOI: 10.17632/9mrmttnjh5
title: Weld bead images from the literature

description: Dataset used in paper: "A universal convolutional neural network for pixel-level detection and monitoring of weld beads". 

The dataset has ~300 weld bead images containing 2677 single-line beads collected mainly from the literature, folllowed by pixel-wise hand-annotation of the weld bead and background. They are characterized with a great variety of bead morphology, texture, contrast to background, and so on. 

The ultimate goal is to train a general-purpose image-segmentation convolutional neural network (CNN), which can recognize bead regions from background across different machines and manufacturing conditions. The trained CNN is potentially deployed for weld bead monitorning and control in the general weld-based processes, such as the conventional welding and various metal depostion additive manufacturing processes.
DOI: 10.17632/x3ybbsrvpv
title: Research Data Repository for Air-Stable Methylammonium Lead Iodide Perovskite Thin Films Fabricated via Aerosol-Assisted Chemical Vapor Deposition from a Pseudohalide Pb(SCN)2 Precursor

description: Research Data Repository for the published paper entitled "Air-Stable Methylammonium Lead Iodide Perovskite Thin Films Fabricated via Aerosol-Assisted Chemical Vapor Deposition from a Pseudohalide Pb(SCN)2 Precursor"."
DOI: 10.17632/9xmch2tcmh
title: Data for: Gender diversity in general surgery residency leadership

description: Program Directors in General Surgery, academic rank, length of tenure, gender
DOI: 10.17632/h54cxnrb6w
title: Data for: Effects of compositional and configurational heterogeneity of the urban matrix on the species richness of woody plants in urban remnant forest patches

description: This data set contains all data used for analyzing the effects of matrix heterogeneity on the species richness of woody plants in urban remnant forest patches in Guiyang, China. It has two parts: (1) Attribute data of remnant patch and surrounding matrix; (2) Species data of woody plants surveyed in these remnant patches.
DOI: 10.6084/m9.figshare.3517451.v1
title: Appendix A. The response in the number of flower heads produced to total planting density and the proportion of other species present in the Seedling Placement Experiment.

description: The response in the number of flower heads produced to total planting density and the proportion of other species present in the Seedling Placement Experiment.
DOI: 10.17632/5tp47cz6h7
title: Finance graph

description: PhD thesis on use of vectors in financial graphing
DOI: 10.17632/6p5y7rgzjz
title: Gearbox Dateset for Transfer Learning Fault Diagnosis

description: This dataset is for the paper "Domain Adaptation with Multilayer Adversarial Learning for Fault Diagnosis of Gearbox under Multiple Operating Conditions", one can find the code on GitHub: https://github.com/mingzhangPHD/Transfer-Learning-for-Fault-Diagnosis/tree/master/MAAN
DOI: 10.17632/rhzxf2fn89
title: Wdr59 promotes or inhibits TORC1 activity depending on cellular context

description: This is the original data of the manuscript "Wdr59 promotes or inhibits TORC1 activity depending on cellular context" in PNAS
DOI: 10.17632/7j6b6y48jw
title: Micro-scale potentiodynamic polarisation (log(j)) curves of 316L stainless steel

description: This database comprises 5 Potentiodynamic Polarisation (PP) datasets. Each dataset consists of a pair of CSVs: 1 file containing the values of the applied potential E (Vs Ag/AgCl); and 1 containing the corresponding log of the current density log(j) (µA/cm²) values.

This database was deployed as the source dataset in the following scientific article, accepted for publication in npj Materials Degradation journal on 25 September 2023:
"Estimating pitting descriptors of 316L stainless steel by machine learning and statistical analysis".
Leonardo Bertolucci Coelho1,2,∗, Daniel Torres1, Vincent Vangrunderbeek2, Miguel Bernal1, Gian Marco Paldino3, Gianluca Bontempi3, Jon Ustarroz 1,2
1 ChemSIN – Chemistry of Surfaces, Interfaces and Nanomaterials, Université libre de Bruxelles (ULB), Brussels, Belgium
2 Research Group Electrochemical and Surface Engineering (SURF), Vrije Universiteit Brussel, Brussels, Belgium
3 Machine Learning Group (MLG), Université libre de Bruxelles (ULB), Brussels, Belgium
*leonardo.bertolucci.coelho@ulb.be

These datasets are almost identical to the ones available at https://data.mendeley.com/datasets/78rz8vw46x/2
The only difference is that eventual missing j values were filled with an iterative imputer (Python 3.7 language). The IterativeImputer class (from sklearn.impute) models each feature with missing values as a function of other features and uses that estimate for imputation.
DOI: 10.6084/m9.figshare.18398540.v1
title: Soil microbial data

description: environmental data, soil microbial community composition and function information, and enzymes of soil samples in alpine shrub and meadows
DOI: 10.17632/3gx3jcc6j2
title: Data on the Quality of Hybrid Learning

description: The hybrid learning policy has become a trend in several universities in Indonesia to overcome the limitations of offline learning. However, hybrid learning policies differ from online learning, which prioritizes using the MOOC system. Hybrid learning must have at least four main characteristics, 1) support the development of lecturer and student skills; 2) not limited by distance and time; 3) the availability of multi-directional learning support devices; and 4) learning comes from students who take formal or non-formal education. Based on this, we conducted a user satisfaction survey of several students who had implemented hybrid learning at their institutions. We present data from a survey conducted on 5,679 students with 29 questions about implementing hybrid learning. We also used a cross-tabulation technique to analyze the collected data between latent and dummy variables. We use this data to evaluate the quality of hybrid learning in tertiary institutions and use it to improve the input of hybrid learners in the future. The indicators that construct the student satisfaction questionnaire also need to be analyzed in the future so that the comparison of suitable models may differ at certain tertiary institutions.
DOI: 10.17632/krzv3g6d5f
title: InWaterSense Dataset: Data from a wireless sensor network on water quality monitoring in a river in Kosovo

description: The dataset presented here contains data gathered as part of the InWaterSense (inwatersense.uni-pr.edu) project implemented by University of Prishtina supported by the IPA EU grant.
The water quality monitoring in Sitnica river in Kosova is performed through a Wireless Sensor Network (WSN) which supports remote, continuous and real-time measurements for the water quality parameters through its corresponding static sensors. 
These data are those emitted by static sensors of the WSN installed in the river bank Sitnica located in village Plemetin near Kosovo’s capital city Prishtina. Measurements in two points are performed: sensing node 1 (housing) and sensing node 2 (manhole) in a distance of around 100 m from each other. The coordinates of each of the two sensing nodes are given in Table 1. The measurement period covered is almost eight months of continuous measurements in total starting May 2015 to beginning of January 2016. The frequency of measurements is configured to be real-time in intervals of every 10 minutes. Measured data are transmitted via GPRS to the remote server at University of Prishtina.
The raw dataset contains among others the location and the time of a given observation, followed by the value of the single individual parameter observed in the same raw in a structure similar to (location, timestamp, parameter, value). The water quality parameters measured include temperature, electrical conductivity, pH, and dissolved oxygen.
Raw data are also available in another structure better suited for performing analysis: per given location and timestamp, there are values of all parameters observed listed in the same raw in separate individual columns instead of being spread among separate rows (rows-to-columns transformation performed on parameters). The transformed dataset is of structure similar to (location, timestamp, parameter 1, parameter 2, .., parameter n), namely (Node Id, Timestamp, Timestamp as DateTime, Temperature, Conductivity, pH, DissolvedOxygen).
The dataset is useful for the broad scientific community, from environmental engineering to artificial intelligence to the health sector just to mention few. Moreover, practitioners might benefit from this dataset in driving forth the pollution prevention policies and techniques.
DOI: 10.17632/njdkntcpc9
title: Data for: A machine learning approach for forecasting hierarchical time series

description: The dataset consists of 118 daily time series, representing the demand of pasta from 01/01/2014 to 31/12/2018. Besides univariate time series data, the quantity sold is integrated by information on the presence or the absence of a promotion.
DOI: 10.6084/m9.figshare.12768476.v1
title: Probing co-evolution of ribosomal proteins through structural phylogeny

description: Ribosomes are highly conserved macromolecular machines at the domain level. This necessitates that ribosomal proteins also exhibit conservation in structure and function across genus and species. Specifically, ribosomal proteins are in contact with each other and ribosomal RNA (rRNA) in either the small or large ribosomal subunit. These contact points thus provide constraints in evolution and natural selection, and may have resulted in co-evolution. Given that coevolution between different ribosomal proteins could manifest as similarity in protein structure, the structures of the different ribosomal proteins could be obtained through a homology search server, Phyre<sup>2</sup> to provide the foundational data for a cross-comparison of ribosomal protein structure for understanding the selection pressure exerted on the ribosomal proteins. Specifically, multiple ribosomal proteins and rRNA interact with each other within the ribosome and the contact sites at which ribosomal protein and rRNA interact could serve as points at which selection pressure could tune the evolutionary trajectories of the ribosomal protein and rRNA. Thus, co-evolution between ribosomal proteins and between ribosomal proteins and rRNA would manifest as structural motifs tuned for binding with each other or where protein-protein and protein-rRNA interactions result in conserved structural motifs for interaction.
DOI: 10.17632/4z32mvd9kv
title: Data: Do Earthquakes Increase or Decrease Crime?

description: Data and replication code for: Silverio-Murillo, A., Balmori De la Miyar, J.R., Sobrino, F., and Prudencio, D. (2023). Do Earthquakes Increase or Decrease Crime?
DOI: 10.17632/7s7m945nbb
title: Model for OCRA (Ergonomic Risks) in Assembly Line Balancing Problems

description: Paper's dataset with benchmark-based instances and obtained results.
DOI: 10.17632/d998w8wwsx
title: A study of "An mPOA-ARCAgRP pathway modulates cold-evoked eating behavior".Yang et al.

description: The excel data and the original data (uncropped, unmodified images) for figures.
DOI: 10.17632/67t9s63nby
title: MAGNATE

description: i) Current version of MAGNATE Matlab version (beta, 18 June 2018) ii) 3D Oneshot-HSQC data for mixture of B vitamins (MAGNATE format) iii) NMR data for mixture of B vitamins (BRUKER format) Folder - Experiment 1 - 1H 2 - {1H}13C 3 - 2D Echo/Antiecho-HSQC with spectrum aliasing 4 - 2D DOSY-Oneshot45 8 - 3D Oneshot-HSQC with spectrum aliasing iv) NMR data for mixture of rutin and quercetin (BRUKER format) Folder - Experiment 1 - 1H 2 - {1H}13C 3 - 2D EA-HSQC with spectrum aliasing 4 - 3D Oneshot-HSQC with spectrum aliasing v) 3D Oneshot-HSQC pulse sequence (BRUKER)
DOI: 10.17632/n9ftwfn9yz
title: Thermokarst Hazard Dataset for Qilian Mountains Permafrost Regions

description: The dataset contains 51 thermokarst sites, each site includes Number, ID, disaster type, longitude, latitude, aspect, slope, maximum elevation, minimum elevation, relative height difference, length, width, average thickness, volume, material characteristics of sliding body, Groundwater exposure (Table 1). For these parameters, it was carried out based on the satellite analysis and then verify it in the field. The images were carried out in the filed, and each site at least for one image.
DOI: 10.6084/m9.figshare.16908478.v1
title: AI for Acute appendicitis

description: dataset for manuscript titled <b>WHO NEEDS A CT SCAN? A NOVEL APPROACH TO SUSPICIOUS ACUTE APPENDICITIS USING MACHINE LEARNING ALGORITHMS</b>
DOI: 10.17632/2h8wbxffpk
title: Dataset on Betta splendens bubble nest size, eggs release period and fecundity following treatment with brown banana leaf rearing water

description: Raw data on Betta splendens (Siamese fighting fish) bubble nest size, eggs release period, and fecundity following treatment in different concentrations of brown banana leaf rearing water and brown cattapa leaf rearing water
DOI: 10.6084/m9.figshare.9788714.v2
title: Açaí inclusion experiment in fish Colossoma macropomum juveniles

description: Dataset of experiments performed on fish <i>Colossoma macropomum</i> juveniles fed with different levels of açaí (<i>Euterpe olaracea</i>) pulp fruit.
DOI: 10.17632/y3wf4ymfj7
title: Evaluating aero-engine industry chain with variable weight and interactive criteria: an empirical study of China

description: The indicator initial values under three dimensions (eg.academic publication, enterprise,patent) in this papaer are collected from publication data, listed company data and patent data respectively.
DOI: 10.6084/m9.figshare.28327907.v2
title: <b>Segmentation on CT Images</b>

description: This research demonstrates the excellent accuracy of pancreatic tumor diagnosis using a tumor detection framework that makes use of CT images and secondary indications of pancreatic cancer.
DOI: 10.17632/hdhnrrwdz2
title: Motamot: A Dataset for Revealing the Supremacy of Large Language Models over Transformer Models in Bengali Political Sentiment Analysis

description: The dataset "Motamot" containing 7,058 data points labeled with Positive and Negative sentiments, tailored specifically for Political Sentiment Analysis in the Bengali language. The dataset comprises 4,132 instances labeled as Positive and 2,926 instances labeled as Negative sentiments.

Specifics of the Core Data:
—-------------------------------
Train 5647, Test 706, Validation 705 

Train : 
—-------------------------------

Positive: 3306

Negative: 2341


Test : 
—-------------------------------

Positive: 413

Negative: 293


Validation : 
—-------------------------------

Positive: 413

Negative: 292
DOI: 10.17632/vzdcmjjpbf
title: Supplemental Materials -- Ruxolitinib versus Roflumilast: A Meta-analysis of the Comparative Efficacy of Two Topical Therapies for Atopic Dermatitis

description: Supplemental Figures 1-8 for "Ruxolitinib versus Roflumilast: A Meta-analysis of the Comparative Efficacy of Two Topical Therapies for Atopic Dermatitis"
DOI: 10.17632/fbvvvf55kp
title: Satellite imagery dataset of manure application on pasture fields

description: Sentinel-2 imagery of freshly manured pasture fields in the northern region of Spain.
Each image is in ".tif" format and has 64 channels. The first 13 channels are the raw bands of Sentinel-2. The remaining 51 channels are some of the most common hyperspectral indices in Precision Agriculture.
The order of the channels is the following (from 0 to 63):
B01
B02
B03
B04
B05
B06
B07
B08
B8A
B09
B10
B11
B12
NDVI
NSNDVI
SDI
GNDVI
SAVI
OSAVI
EOMI1
EOMI2
EOMI3
EOMI4
BNR2
RVI
DVI
RENDVI1
RENDVI2
RENDVI3
CI1
CI2
CI3
NDRE
MCARI
MCARI1
MCARI2
MTVI1
MTVI2
EVI
AVI
GCI
BSI
NBRI
NDRE1
NDRE2
NDRE3
MSAVI
WDRVI
ARVI1
ARVI2
TSAVI
CARI1
CARI2
CVI
EVI1
EVI2
EVI3
SCI
GRNDVI
GBNDVI
GLI
ATSAVI
ALTERATION
CTVI

This data can be used to develop machine learning detectors for freshly manured fields.
DOI: 10.15468/dl.4hmpmv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platytroctes Günther, 1878",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((26.6413 -34.1504,26.9648 -34.0826,26.9648 -25.1504,17.9648 -25.1504,17.9648 -34.1504,26.6413 -34.1504))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012935-250525065834625/datasets/export for details.
DOI: 10.17632/n5vjjmwb9p
title: SHANK3 mRNA Capture

description: Transcriptional Determinism and Stochasticity Contribute to the Complexity of Autism Associated SHANK Family Genes
DOI: 10.15468/dl.93vvnj
title: Occurrence Download

description: A dataset containing 8675 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Oenothera biennis L.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 8675 records from 259 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012936-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4k6xtptm5w
title: US solid waste flow data, by state

description: While the EPA collects overview data on the generation and disposal of solid waste, facility-level data for all states have been previously unavailable in aggregate form. This national dataset contains unprocessed solid waste data at the highest spatiotemporal resolution available from all 50 US states and the District of Columbia. For each state, when applicable, we provide additional context on the nature of the collected data and any relevant disclaimers. The strength of data available to the public varies by state and is tracked in a spreadsheet. 

When analyzed, this data can be used to determine, among other things, the origin of waste for a specific facility, the destination of waste from a municipality/town, and the amount of interstate import and export of solid waste.

To determine which data is included in this dataset, review the spreadsheet titled "Data quality by state." When you've identified which state you're interested in, open the appropriate folder (named with the two-letter abbreviation for the state). 

This data is provided "as is" to analyze solid waste flow patterns. All data was created by the relevant state agencies and could contain inconsistencies and inaccuracies. If you require assistance interpreting this data, contact the authors. **This data is for non-commercial use only**