cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/h6rbdnh4gn.2
title: Supplementary materials for article entitled "LDL-C, Type 2 Diabetes, Autoimmune Hypothyroidism, and Uric Acid in Relation to Psoriasis and Psoriatic Arthritis: A Bidirectional Mendelian Randomization Study"

description: Supplementary materials for article entitled "LDL-C, Type 2 Diabetes, Autoimmune Hypothyroidism, and Uric Acid in Relation to Psoriasis and Psoriatic Arthritis: A Bidirectional Mendelian Randomization Study"
DOI: 10.17632/h6rbdnh4gn.3
title: Supplementary materials for article entitled "LDL-C, Type 2 Diabetes, Autoimmune Hypothyroidism, and Uric Acid in Relation to Psoriasis and Psoriatic Arthritis: A Bidirectional Mendelian Randomization Study"

description: Supplementary materials for article entitled "LDL-C, Type 2 Diabetes, Autoimmune Hypothyroidism, and Uric Acid in Relation to Psoriasis and Psoriatic Arthritis: A Bidirectional Mendelian Randomization Study"
DOI: 10.17632/ds8p2h896r.1
title: Quantifying Inter-Rater Agreement For Automatic Video Generation Apps Assessment 

description: This dataset consists of answers to a survey aimed at assessing a video creation tool. There are 15 questions total, and they cover a range of topics related to the user experience, performance, and functionality . Respondents can submit their subjective evaluations by evaluating each question on a scale from 1 to 10.
The goal of the survey is to get comments and viewpoints on several facets of the video creation application. It asks about the speed of video generation, the effectiveness of AI assistance, the size and variety of the media library, the text-to-speech capabilities, compatibility with PC and Mac, formatting choices and flexibility, downloading speed, the naturalness of voice-overs, drag-and-drop functionality with NLP and computer vision, the limitations on video length, the availability of editing tools, the ability to move text and images, the resolution and downloading limits, accuracy, and other factors.Researchers, developers, and analysts can learn more about users' perspectives and levels of satisfaction with reference to various features and capabilities of the video generating application by analysing this dataset. It can be used to evaluate existing strengths and potential growth areas, spot trends in user preferences, and direct further improvements.
DOI: 10.17632/ds8p2h896r.2
title: Quantifying Inter-Rater Agreement For Automatic Video Generation Apps Assessment 

description: This dataset consists of answers to a survey aimed at assessing a video creation tool. There are 15 questions total, and they cover a range of topics related to the user experience, performance, and functionality . Respondents can submit their subjective evaluations by evaluating each question on a scale from 1 to 10.
The goal of the survey is to get comments and viewpoints on several facets of the video creation application. It asks about the speed of video generation, the effectiveness of AI assistance, the size and variety of the media library, the text-to-speech capabilities, compatibility with PC and Mac, formatting choices and flexibility, downloading speed, the naturalness of voice-overs, drag-and-drop functionality with NLP and computer vision, the limitations on video length, the availability of editing tools, the ability to move text and images, the resolution and downloading limits, accuracy, and other factors.Researchers, developers, and analysts can learn more about users' perspectives and levels of satisfaction with reference to various features and capabilities of the video generating application by analysing this dataset. It can be used to evaluate existing strengths and potential growth areas, spot trends in user preferences, and direct further improvements.
DOI: 10.17632/8fjcb7bxhp.1
title: Relationship between sub-sectors of alternative energy stocks, oil prices and oil volatility

description: Alternative energy Stocks
DOI: 10.17632/pf2bvmfsmb.1
title: Data of 'Radiation Dose in CT-based Active Surveillance of Small Renal Masses May Be Reduced by 75%. A Retrospective Exploratory Multiobserver Study'

description: Active surveillance is increasingly utilized in managing small renal masses (SRM) regardless of patient age. 
The follow-up protocol most commonly used includes contrast-enhanced abdominal CT scanning.
The cumulative radiation dose incurred in serial imaging as part of active surveillance is a concern.
There is an unmet need for reducing radiation dose while preserving the accuracy and reproducibility needed in radiographic measurements such that small changes in renal mass size can be appreciated.
Using a simulation technique, we investigated the accuracy and reproducibility of low-dose CT  (75% dose reduction) compared to normal-dose CT to assess maximum axial renal tumor diameter. 
Open access CT datasets from the 2019 Kidney and Kidney Tumor Segmentation Challenge were used.
We hypothesized that contrast-enhanced low-dose CT with a 75% reduction in radiation dose could be used interchangeably with normal-dose CT in terms of accuracy and reproducibility in determining the maximum diameter of SRMs.
We found similar accuracy and reproducibility of low-dose versus normal-dose CT, which suggests these modalities can be used interchangeably for the assessment of maximal axial tumor diameter.
The data deposited here consists of 2 CSV files with tumor diameter measurements completed by six observers evaluating 40 cases of low-dose CT and normal-dose CT, respectively. In addition, a PDF file is provided with key images of caliper placements for each case (n=40) and observer (n=6), as well as the tumor, CT, and patient details.
The presented data may stimulate future research investigating low-dose CT for active surveillance of small renal masses.
DOI: 10.17632/pf2bvmfsmb.2
title: Radiation dose in CT-based active surveillance of small renal masses may be reduced by 75%. A retrospective exploratory multiobserver study

description: Active surveillance is increasingly utilized in managing small renal masses (SRM) regardless of patient age. 
The follow-up protocol most commonly used includes contrast-enhanced abdominal CT scanning.
The cumulative radiation dose incurred in serial imaging as part of active surveillance is a concern.
There is an unmet need for reducing radiation dose while preserving the accuracy and reproducibility needed in radiographic measurements such that small changes in renal mass size can be appreciated.
Using a simulation technique, we investigated the accuracy and reproducibility of low-dose CT  (75% dose reduction) compared to normal-dose CT to assess maximum axial renal tumor diameter. 
Open access CT datasets from the 2019 Kidney and Kidney Tumor Segmentation Challenge were used.
We hypothesized that contrast-enhanced low-dose CT with a 75% reduction in radiation dose could be used interchangeably with contrast-enhanced normal-dose CT in terms of accuracy and reproducibility in determining the maximum diameter of SRMs.
We found similar accuracy and reproducibility of low-dose versus normal-dose CT, which suggests these modalities can be used interchangeably for the assessment of maximal axial tumor diameter.
The data deposited here consists of 2 CSV files with tumor diameter measurements completed by six observers evaluating 40 cases of low-dose CT and normal-dose CT, respectively. In addition, a PDF file is provided with key images of caliper placements for each case (n=40) and observer (n=6), as well as the tumor, CT, and patient details.
The presented data may stimulate future research investigating low-dose CT for active surveillance of small renal masses.
DOI: 10.17632/pf2bvmfsmb.3
title: Radiation dose in CT-based active surveillance of small renal masses may be reduced by 75%. A retrospective exploratory multiobserver study

description: Active surveillance is increasingly utilized in managing small renal masses (SRM) regardless of patient age. The follow-up protocol most commonly used includes contrast-enhanced abdominal CT scanning. The cumulative radiation dose incurred in serial imaging as part of active surveillance is a concern. There is an unmet need for reducing radiation dose while preserving the accuracy and reproducibility needed in radiographic measurements such that small changes in renal mass size can be appreciated. Using a simulation technique, we investigated the accuracy and reproducibility of low-dose CT (75% dose reduction) compared to normal-dose CT to assess maximum axial renal tumor diameter. Open access CT datasets from the 2019 Kidney and Kidney Tumor Segmentation Challenge were used. We hypothesized that contrast-enhanced low-dose CT with a 75% reduction in radiation dose could be used interchangeably with normal-dose CT in terms of accuracy and reproducibility in determining the maximum diameter of SRMs. We found similar accuracy and reproducibility of low-dose versus normal-dose CT, which suggests these modalities can be used interchangeably for the assessment of maximal axial tumor diameter. The data deposited here consists of 2 CSV files with tumor diameter measurements completed by six observers evaluating 40 cases of low-dose CT and normal-dose CT, respectively. Furthermore, an additional CSV file contains the identification number (i.e., patient_id) in relation to the 2019 Kidney and Kidney Tumor Segmentation Challenge dataset. In addition, a PDF file is provided with key images of caliper placements for each case (n=40) and observer (n=6), as well as the tumor, CT, and patient details. The presented data may stimulate future research investigating low-dose CT for active surveillance of small renal masses.
DOI: 10.17632/pf2bvmfsmb.4
title: Data of 'Radiation dose in CT-based active surveillance of small renal masses may be reduced by 75%. A retrospective exploratory multiobserver study'

description: Active surveillance is increasingly utilized in managing small renal masses (SRM) regardless of patient age. The follow-up protocol most commonly used includes contrast-enhanced abdominal CT scanning. The cumulative radiation dose incurred in serial imaging as part of active surveillance is a concern. There is an unmet need for reducing radiation dose while preserving the accuracy and reproducibility needed in radiographic measurements such that small changes in renal mass size can be appreciated. Using a simulation technique, we investigated the accuracy and reproducibility of low-dose CT (75% dose reduction) compared to normal-dose CT to assess maximum axial renal tumor diameter. Open access CT datasets from the 2019 Kidney and Kidney Tumor Segmentation Challenge were used. We hypothesized that contrast-enhanced low-dose CT with a 75% reduction in radiation dose could be used interchangeably with normal-dose CT in terms of accuracy and reproducibility in determining the maximum diameter of SRMs. We found similar accuracy and reproducibility of low-dose versus normal-dose CT, which suggests these modalities can be used interchangeably for the assessment of maximal axial tumor diameter. The data deposited here consists of 2 CSV files with tumor diameter measurements completed by six observers evaluating 40 cases of low-dose CT and normal-dose CT, respectively. Furthermore, an additional CSV file contains the identification number (i.e., patient_id) in relation to the 2019 Kidney and Kidney Tumor Segmentation Challenge dataset. In addition, a PDF file is provided with key images of caliper placements for each case (n=40) and observer (n=6), as well as the tumor, CT, and patient details. The presented data may stimulate future research investigating low-dose CT for active surveillance of small renal masses.
DOI: 10.17632/h3sv3rz369.2
title: Supplemental materials for JDS.2023-23801

description: Supplementary Figure l.Variation curve of THI at different time points in barns.
Supplementary Table S1 Effects of different ratios of dietary C16:0 and cis-9 C18:1 on rectal temperature in dairy cows.
Supplementary Table S2 Effects of dietary supplementation with different proportions of C16:0 and cis-9 C18:1 on milk fatty acid concentrations in dairy cows.
Supplementary Table S3 Effects of dietary supplementation with different proportions of C16:0 and cis-9 C18:1 on milk fatty acid yield in dairy cows.
DOI: 10.17632/h3sv3rz369.1
title: Supplemental materials for JDS.2023-23801

description: Supplementary Figure l.Variation curve of THI at different time points in barns.
Supplementary Table S1 Effects of different ratios of dietary C16:0 and cis-9 C18:1 on rectal temperature in dairy cows.
Supplementary Table S2 Effects of dietary supplementation with different proportions of C16:0 and cis-9 C18:1 on milk fatty acid concentrations in dairy cows.
Supplementary Table S3 Effects of dietary supplementation with different proportions of C16:0 and cis-9 C18:1 on milk fatty acid yield in dairy cows.
DOI: 10.17632/h3sv3rz369.3
title: Supplemental materials for JDS.2023-23801

description: Supplementary Figure l.Variation curve of THI at different time points in barns.
Supplementary Table S1 Effects of different ratios of dietary C16:0 and cis-9 C18:1 on rectal temperature in dairy cows.
Supplementary Table S2 Effects of dietary supplementation with different proportions of C16:0 and cis-9 C18:1 on milk fatty acid concentrations in dairy cows.
Supplementary Table S3 Effects of dietary supplementation with different proportions of C16:0 and cis-9 C18:1 on milk fatty acid yield in dairy cows.
DOI: 10.15468/ufgdmd
title: Updated checklist and analysis of completeness of the marine fish fauna of Isla del Coco, Pacific of Costa Rica: Fishes Checklist

description: Isla del Coco, Costa Rica, is one of the five groups of oceanic islands of the Eastern Tropical Pacific (ETP), and is considered one of the most diverse. Since the mid-19th century, it has been the target of a number of scientific research expeditions that have produced specimen collections which are housed in natural history museums around the world. The fish assemblage of Isla del Coco is considered one of the most speciose and best documented group of marine organisms of the island. Despite this, recent work has resulted in a need to update the checklist for this important group. We performed a completeness analysis of the ichthyofauna of Isl del Coco based on scientific publications and reports of expeditions, specimens in foreign and national collections, and field surveys. We confirmed the presence of 514 species of marine fishes, representing an increase of approximately 23% compared to what was previously reported. From a habitat perspective, 58 % of this assemblage is typically reef fishes, while the remaining 42% are deep-water, and pelagic species. The average expected reef fish species richness is 318.2 ± 7.3, suggesting that the local inventory represents 93.7 % of the expected total richness. Our updated list and greater number of species has particular relevance to the conservation efforts at Isla del Coco, since current conservation efforts are protecting at least 50 % of ETP fish species and about 40 % of Costa Rica’s Pacific fish species.
DOI: 10.17632/256652nd4d.1
title: Social media handles, Content, OTT platforms ,Posts and engagement rate 

description: We collected data from a social media monitoring tool called social insider. The data was collected from 17th August 2022 to 17th January 2023. We collected the data from Indian social media handles (Facebook and Instagram) of three Prominent OTT Platforms (Netflix, Amazon Prime Video and Disney +). We filtered the data into 4 categories : Social media handles, OTT platforms, content, post and engagement rate. We looked at each post and found if it was from Facebook or Instagram. Similarly, we coded the data for the type of OTT platform. We classified the data into original/acquired content, TV series /Movie (only original content tv series with one completed run of a season were considered) from the label provided by the OTT provider. Similarly, we categorised the posts into Top-rated or low-rated using Nielsen charts. Furthermore, we coded the posts if they are memes or not basing them on various definitions from scholarly articles. We excluded content which did not have a minimum of three posts from the corpus. Finally, we obtained 165 posts.
DOI: 10.17632/57p9rhnnm6.1
title: The minor faults slip data

description: Supplementary data of 2023TC008099
DOI: 10.17632/b3mphry42k.1
title: Simulation data (LLVR method)

description: This contains all the simulation data in the paper.
DOI: 10.17632/b3mphry42k.2
title: Simulation data (LLAV method)

description: This contains all the simulation data in the paper.
DOI: 10.17632/s9jygpbb7b.1
title: Improved BIRECTv Algorithm based on a New Approach for the Identification of Potentially Optimal Rectangles

description: This codes are used as the basis for the following preprint by : N. Belkacem and L. Chiter "Improved BIRECTv Algorithm Based on a New Approach for the Identification of Potentially Optimal Rectangles".   BIRECTv is modification suggested to the recently introduced  BIRECT (BIsection of RECTangles) algorithm.  A new deterministic approach, named BIRECTv algorithm (where v stands for vertices), combines bisection with sampling on diagonal vertices. Also, a new variation of the BIRECTv algorithm, called BIRECTvl- is also introduced. 
This MATLAB code performs optimization using a multi-division algorithm. The code optimizes various test functions and applies a multi-division strategy to find the optimal solution within a specified tolerance. The code is based on the following steps:

Define test functions: The code contains a set of predefined test functions like Ackley, Bohachevsky, Beale, Branin, Dixon & Price, Griewank, Hartman, Matyas, Michalewics, Rastrigin, Rosenbrock, Schwefel, Sphere, Trid, Zakharov, and others. Each test function has a specified domain and a known global minimum or maximum.

Set optimization parameters: Parameters like the maximum number of iterations (nmaxit), the maximum number of function evaluations (nmaxfun), tolerance (epsilon), pe (percent error), and other options related to graphics and display are defined.

Initialize optimization: The algorithm starts by initializing variables to store the function values (f), the rectangle boundaries (A and B), and other relevant data.

Main optimization loop: The algorithm enters a loop where it repeatedly divides rectangles into smaller sub-rectangles until a stopping criterion is met. It keeps track of the best minimum (f_min) found so far and the corresponding optimal point (x_min).

Rectangle division: The algorithm divides each rectangle into sub-rectangles based on potentially optimal rectangles. It maintains a list of potentially optimal rectangles that need to be further divided.

Convergence and display: The algorithm checks for convergence conditions like the percent error (pe) and the maximum number of function evaluations. It also provides graphical representations of the optimization process and the convergence plot.

Output: The algorithm outputs the optimal solution (xmin) and the corresponding minimum value (fmin), along with other relevant information about the optimization process.

It's important to note that the code assumes the existence of a function "f" that takes a vector of inputs and returns the value of the objective function to be minimized. Additionally, the test functions are predefined, and the code selects one based on the value of "example" (e.g., "example=9" selects the Branin function).
DOI: 10.17632/z47pry8gsw.1
title: Autoantibodies against Endophilin A2 as a novel biomarker are beneficial to early diagnosis of breast cancer

description: This document contains the relevant clinical information and EA2 antibody test results of all breast cancer patients.
DOI: 10.17632/z47pry8gsw.2
title: Autoantibodies against Endophilin A2 as a novel biomarker are beneficial to early diagnosis of breast cancer

description: This document contains the relevant clinical information and EA2 antibody test results of all breast cancer patients.
DOI: 10.17632/fbnmwnyg92.1
title: Irradiated fuel salt data library for a molten salt reactor produced with Serpent2 and SOURCES 4C codes

description: The data library applies to a selected molten salt reactor concept developed by Seaborg Technologies in Denmark. The data has been collated from output files produced through simulations carried out using the Monte-Carlo particle transport code, Serpent2 and the code SOURCE 4C. The data includes information such as isotopic mass densities (in g/cm3), gamma source (in photons/sec), decay heat (in Watts), spontaneous fission rates (in fissions/sec), neutron emissions rates (in neutrons/s*cm3). 

The columns use the following naming convention:
1. Isotopic mass density: isotope name i.e. Cs137 for Cesium 137 isotope, Am241 for Americium 241 isotope and so on.
2. Gamma source contributions: Isotope name+’_GS’ i.e. Cs137_GS for contribution of Cesium 137 isotope to gamma emission rates
3. Decay heat contributions: Isotope name+’_DH’ i.e. Am241_GS for contribution of Americium 241 isotope to decay heat production
4. Spontaneous fission rate contributions: Isotope name+’_SF’ i.e. Cf252_SF for contribution of Californium 252 isotope to spontaneous fission rates

The neutron emission rates (from spontaneous fissions and from alpha,n reactions) are obtained using SOURCES 4C code and are summed up over all energies and nuclides and included under the columns ‘SF’ and ‘AN’ respectively. The mass densities are reported for a total of 1,398 nuclides. The gamma source, decay heat, and spontaneous fission rate contributions to the total are reported for all 1,398 nuclides. 

The data library has 310,575 combinations of BU, IE, and CT and 5,600 columns of data associated with each combination describing the henceforth explained properties of the irradiated salt.

The data is formatted as a csv (comma separated value) file which can be parsed using popular data analysis tools such as Pandas. 
CAUTION: It is not advisable to load the data library using an everyday text editor or a spreadsheet management tool (such as Microsoft Word or Excel respectively) due to its large size. The csv file is contained in a zip archive and must be extracted first.
DOI: 10.17632/smnvw9bt5r.1
title: Reduction and transformation of Cr(VI)-associated ferrihydrite by Shewanella oneidensis MR-1: Kinetics and secondary minerals

description: Raw data from general test, BET, XRD, Fe K-edge L2,3-edge fine structure spectra, functional genes copies, and bacterial activation efficiency.
DOI: 10.17632/tg3bx7xs27.1
title: Neave et al., 2023 - Assessing the emotional state of dairy cows housed with or without their calves

description: Supplementary Material and Videos for the article:
Neave et al., 2023. Assessing the emotional state of dairy cows housed with or without their calves. J. Dairy Sci.
Folder contains:
1. Supplementary Material (detailed description of training methods)
2. Supplementary Video 1 (example of clicker training a cow - sound on to hear the clicks)
3. Supplementary Video 2 (example of a cow correctly approaching a positive image. In this case white color is positive)
4. Supplementary Video 3 (example of a cow correctly avoiding a negative image. In this case red color is negative)
5. Supplementary Video 4 (example of a cow choosing to approach the middle ambiguous image. In this case the image is the middle shade of pink)
DOI: 10.17632/6j48wcyvxf.1
title: Performance of Large Language Model Artificial Intelligence on Dermatology Board Exam Style Questions

description: Google BARD performed better than ChatGPT in all question genres (General Dermatology, Dermatopathology, Surgery, Pediatric Dermatology). Differences in scores were detected to be statistically significant for the ‘Question Genre’ (p<0.05) but not the ‘Type.' (p>0.05) for ChatGPT and Google BARD.  Compared to General Dermatology, performance in Dermatopathology was worse for both ChatGPT and Google BARD.