cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/mkcxrky9jc
title: A fast algorithm for computing a matrix transform used to detect trends in noisy data

description: A recently discovered universal rank-based matrix method to extract trends from noisy time series is described in Ierley and Kostinski (2019) but the formula for the output matrix elements, implemented there as an open-access supplement MATLAB computer code, is O(N^4), with N the matrix dimension. This can become prohibitively large for time series with hundreds of sample points or more. Based on recurrence relations, here we derive a much faster O(N^2) algorithm and provide code implementations in MATLAB and in open-source JULIA. In some cases one has the output matrix and needs to solve an inverse problem to obtain the input matrix. A fast algorithm and code for this companion problem, also based on the recurrence relations, are given. Finally, in the narrower, but common, domains of (i) trend detection and (ii) parameter estimation of a linear trend, users require, not the individual matrix elements, but simply their accumulated mean value. For this latter case we provide a yet faster O(N) heuristic approximation that relies on a series of rank one matrices. These algorithms are illustrated on a time series of high energy cosmic rays with N &gt; 4 x 10^4 .
DOI: 10.17632/nznnb2yb8n
title: The raw data for the time series well performance prediction

description: Data of the first case is generated from the numerical simulation. Data of Case 2 is collected form a fractured horizontal well of Xinjiang oilfield.
DOI: 10.17632/t75kdftzyv
title: Supplementary materials - Exploratory Study on Low-GWP Working Fluid Mixtures for Industrial High Temperature Heat Pump with 200 °C Supply Temperature

description: Supplementary materials for a journal paper (Energy) on "Exploratory Study on Low-GWP Working Fluid Mixtures for Industrial High Temperature Heat Pump with 200 °C Supply Temperature". Contains results of the mixtures screening in CSV as well as the code to produce these results.

Abstract:
Single component working fluids, which could be used in a safe, efficient, reliable, and cost-efficient industrial high temperature heat pump (HTHP) subcritical vapor compression cycle (VCC) for process heat delivery at 200 °C are scarce and come with significant technical limitations. We therefore propose searching for a mixture that could meet these criteria.

Hence, we created a Python code using REFPROP and Cantera libraries to model a simplified HTHP VCC with an advance cycle architecture and to assess the flammability of the mixture. 10 pure fluid components consisting of two subsets – hydrocarbons and hydro(chloro)fluoroolefins were identified. From these, over 460,000 variations of binary, ternary and quaternary mixtures were created. Solving the advanced HTHP VCC for each, we obtained cycle performance results which we filtered and sorted using thermodynamic and technical criteria. We did not find a perfect mixture which would meet all our criteria but a binary blend of cyclopentane+R1336mzz(Z) with mole fraction of [0.68,0.32] was selected as the winner candidate of the screening given the imposed limits. This mixture will be further experimentally investigated and used in a purpose-built test rig for screw compressor development.

This material is based upon work supported by the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) under the Industrial Efficiency & Decarbonization Office, Award Number DE-0010864.
DOI: 10.6084/m9.figshare.25406998.v1
title: S8_Stepwise example of fertility calculation

description: This is the supplementary dataset S8 to the paper "How to quantify heavy mineral fertility from point-counting data". The table contains an example of the stepwise calculation of mineral fertility (in this case for apatite and zircon) from grain diameters measured in 2D phase maps or area%.
DOI: 10.17632/9pjxw972fm
title: ESG-Social-Financial-India

description: It contains the social disclosure score of 22 Indian companies over a period of 8 years with the environment score and governance score separately and ESG score. The Excel file has data on ROE, ROA and EBIT as well as social indicators like CSR spend, percentage employee turnover and percentage female employees
DOI: 10.17632/n9zp473wfw
title: Image Dataset on Eye Diseases Classification (Uveitis, Conjunctivitis, Cataract, Eyelid) with Symptoms and SMOTE Validation

description: Dataset Description:
This dataset contains images and corresponding symptom descriptions for five types of eye diseases: Uveitis, Conjunctivitis, Cataract, Eyelid Drooping, and Normal. The dataset is intended for use in medical image analysis and machine learning model development. It includes image data (.jpg format) along with detailed descriptions of the diseases and their symptoms.

Diseases Included:
Normal: No abnormalities, clear vision, no redness or swelling.
Uveitis: Eye redness, pain, blurred vision, sensitivity to light, and floating spots.
Conjunctivitis: Redness, itching, tearing, discharge, and crusting of the eyelids.
Cataract: Cloudy or blurred vision, difficulty seeing at night, sensitivity to glare.
Eyelid Drooping: Drooping eyelids, swelling, irritation, and lumps on more than one eyelid.
Symptoms:
Each disease is associated with its symptoms as listed above. These symptoms are designed to help researchers and practitioners in the classification and diagnosis of these diseases based on visual and textual information. All the symptoms and dataset has been checked and corrected from a Professor from Bangladesh Eye Hospital.

Data Collection:
Images: The images were collected from online sources (via Google search) using disease-specific keywords.
Data Quality Control: Duplicate images were removed, and the dataset was carefully reviewed for accuracy.
Balanced Dataset: To ensure a balanced distribution of images across all diseases, SMOTE (Synthetic Minority Over-sampling Technique) was applied. The final dataset includes an equal number of images for each disease category (649 images per disease).

Dataset Validation: 
Before SMOTE:
Cataract: 544 images
Conjunctivitis: 357 images
Eyelid Drooping: 525 images
Normal: 649 images
Uveitis: 223 images

After SMOTE:
All diseases now have 649 images, resulting in a balanced dataset.

The use of SMOTE ensures that all disease categories are equally represented, mitigating the risk of model bias due to class imbalance. 

File Formats:
Images: JPEG format (.jpg) 

Dataset Usage:
This dataset is intended for research purposes, specifically in medical image classification tasks. It can be used to train, test, and validate machine learning models that aim to identify and diagnose eye diseases based on images and symptoms.

Ethics & Consent:
The images used in this dataset have been gathered from publicly available online sources, and appropriate ethical considerations were taken into account. The dataset has been anonymized, and no personally identifiable information is included.
DOI: 10.6084/m9.figshare.6783506.v1
title: V1 Datasets Seurat Objects

description: R objects for the V1 Datasets. Created with R package Seurat.<br>E14_allcells_seur_ob.Rdata - E14.5 V1 Dataset. Includes all cells. Grouped by "ordered_manuscript" in @data.info slot. Corresponds to Fig. 1c. <br><br>E14_mesenchyme_seur_ob.Rdata - E14.5 V1 Dataset. Only mesenchymal cells. Grouped by "ordered_manuscript" in @data.info slot. Corresponds to Fig. 2a. <br><br>merged_mesenchyme_seur_ob.Rdata - E12.5, E14.5, E17.5 merged V1 Dataset. Only mesenchymal cells. Grouped by "ordered_manuscript" in @data.info slot. Corresponds to Fig. 3a. <br><br>E14_epithelial_seur_ob.Rdata - E14.5 V1 Dataset. Only epithelial cells. Grouped by "ordered" in @data.info slot. Corresponds to Fig. 4a. <br><br>E14_endocrine_seur_ob.Rdata - E14.5 V1 Dataset. Only endocrine cells. Grouped by "ordered_res1_5" in @data.info slot. Corresponds to Fig. 4f. <br><br>merged_epithelial_seur_ob.Rdata - E12.5, E14.5, E17.5 merged V1 Dataset. Only epithelial cells. Grouped by "ordered" in @data.info slot. Corresponds to Supplementary Fig.5a
DOI: 10.17632/fzmf79f3gh
title: BRAF inhibition and the spectrum of granulomatous reactions: Supplementary Files

description: Supplementary files for 'BRAF inhibition and the spectrum of granulomatous reactions: A review', in publication by the Journal of the American Academy of Dermatology.
DOI: 10.17632/v2hn43m8py
title: Data for: Illuminating Hotspots of Imperiled Aquatic Biodiversity in the Southeastern US.

description: Standardized biodiversity, endemism, imperilment scores for freshwater fishes, mussels, and crayfishes in 290 HUC-8s in the southeastern United States. Also includes combined conservation priority and %area under two conservation definitions for each HUC.
DOI: 10.6084/m9.figshare.24071310.v2
title: dataset of newspaper

description: The six newspapers are chosen as the main sources for constructing the CCPU index: People’s Daily, Guangming Daily, Economic Daily, Global Times, Science and Technology Daily, and China News Service. The newspaper data are collected from the Wisenews database between January 2000 and December 2022. 1755826 newspaper data are stored in news_six_all.csv.
DOI: 10.6084/m9.figshare.28142126.v1
title: Original data

description: In this study, we determined the soil properties, root traits, and microbial community as well as their correlations in two soil depths in <i>Populus tomentosa</i>,<i> Platycladus orientalis</i>, and <i>Sophora japonica</i> plantations with different forest ages. Our results showed that at the phylum level, the highest relative abundance of soil bacteria and fungi were Actinobacteriota (18.63-32.74%) and Ascomycota (62.48-91.91%), respectively. The Chao, Shannon, and Pielou_e index of fungi in soils increased with forest age, while Alpha diversity of bacteria showed different trends with forest age across species. Redundancy analysis and hierarchical segmentation analysis showed that the effect of soil properties and root traits on composition of soil bacteria (41.4%) was larger than fungi (28.8%). Compared with root traits (7-10 %), soil properties exhibited larger effects (23-26%) on the composition of microbial community. Soil clay, water content, and conductivity showed positive effects on bacterial diversity and composition, while fungi were mainly affected by soil total phosphorus and pH. The influence of root traits on bacterial diversity weakened while that of soil properties increased with forest age. The fungal diversity in middle-aged plantations was affected by soil and root, while that of younger- and older-aged were affected by soil properties. As soil depth increased, the impact of roots on bacterial diversity increased while the effect on fungal diversity decreased. The results highlight the need to consider forest age and soil depth when revealing the association among soil microbial diversity, environmental variation, and root traits.
DOI: 10.17632/vjpckv4mt7
title: Noor dataset

description: Noor dataset include two thousand Arabic words, selecting them from various sources such as the Holy Quran and classical Arabic words. These words are assigned to two groups of human experts so that they determine the correct stem for each word.
The first collection of selected words comprises non-repetitive words from the Quran, categorized based on morphological structure. This collection contains over 16,000 words, focusing exclusively on their Quranic usage and the corresponding labels are only the word stems. The necessity of morphological analysis in Quranic texts, as an example of classical Arabic, underscores the importance of this evaluation.
The second collection consists of 10,000 words from non-repetitive text data in general classical Arabic texts. From a pool of more than 2,600,000 non-repetitive words, 10,000 were chosen. Since this dataset aims to be a gold standard, each stem is verified and labeled by a pair of experts.
DOI: 10.17632/zf5zv7d8rs
title: Driver Insurance Premium Calculation using Advanced Driver Assistance Systems and Contextual Information: dataset

description: The dataset comprises driving data collected from an Irish fleet of 354 commercial drivers using light-good vehicles in a driving monitoring campaign. As part of their daily job activities, the drivers performed, on average, five daily trips, covering around 143 km. The data collection occurred in the Republic of Ireland between April 2021 and April 2022, encompassing 8,142,896 km from 287,511 trips, where drivers were monitored for 35 weeks on average. The fleet was monitored with telematics tracking devices and warning-based ADAS that triggered alarms about distraction-related events. With this information, all drivers received feedback about their driving patterns and attended quarterly coaching sessions to meet the fleet’s standards regarding road safety.

Driving behaviour patterns are often constrained by the driving environment. Thus, geolocation data was used to retrieve the context of all daily trips. This contextualization was performed using the Motion-S contextualization service based on HERE Technologies's Platform Data Extension. As a result, this dataset contains weekly aggregated driving data including behavioural patterns, distraction-related events through ADAS warnings, and the driving context.

The dataset also contains information about two years of the fleet claims history (2020 and 2021). In total, 62 at-fault claims were recorded, giving a mean cost per claim of €2,899, where 50 drivers had one claim and six drivers had two claims.

Files: 
dataset_description.md (txt file with description and variables)
dataset_description.ipynb (Python notebook)
weekly_driving_profiles.csv (data)
DOI: 10.17632/w3dwy8nfth
title: Eighteen environmental variables and real survey sites for a region in central western Victoria, Australia

description: The file predictors.txt contains eighteen environmental variables (including bioclimatic, topographic and radiometric variables) for a region covering 250 km x 250 km in central western Victoria, Australia. Another file survey_combined.txt shows the sites where there are (any) species records in the database of the Department of Environment, Land, Water and Planning, Victoria, Australia. The resolution of the two datasets are all 1 km x 1 km. These data have been used in our simulations to investigate various modelling strategies related to species distribution modelling.
DOI: 10.6084/m9.figshare.28503437.v1
title: Supplementary Material for: Eye Movement Desensitisation and Reprocessing with and without Dialectical Behaviour Therapy for Posttraumatic Stress Disorder and Comorbid Borderline Personality Disorder Symptoms: A Randomised Controlled Trial

description: Introduction: Comorbidity between posttraumatic stress disorder (PTSD) and borderline personality disorder (BPD) is prevalent. Despite evidence-based therapies, high rates of non-response and dropout persist. This study therefore aimed to examine whether the concurrent application of eye movement desensitization and reprocessing (EMDR) for PTSD and dialectical behavior therapy (DBT) for BPD yields better results than EMDR alone.
Methods: Patients with a PTSD diagnosis and at least four BPD symptoms were randomly assigned to EMDR (n = 63) or concurrent EMDR-DBT (n = 61). Over one year, changes in PTSD symptoms were measured using the Clinician-Administered PTSD Scale for DSM-5. Secondary outcomes included BPD symptoms, global functioning and quality of life. 
Results: Both treatments led to large reductions in PTSD symptoms, without significant differences after one year (p = .312, d = -0.23, 95% CI = -0.6, 0.1). Both treatments also yielded large and comparable reductions in BPD symptoms and improved quality of life. Global functioning improved only in the EMDR condition according to one measure (WHODAS 2.0), while the other measure (OQ-45) showed improvements in both groups. Additionally, patients in the EMDR-DBT condition were twice as likely to drop out from EMDR treatment compared to those in the EMDR-only condition.
Conclusion: Stand-alone EMDR demonstrated safety and efficacy in alleviating PTSD and BPD symptoms, as well as enhancing quality of life. These findings support the use of EMDR as a strong therapeutic option for patients with PTSD and comorbid BPD symptoms. Further research is needed to assess longer-term outcomes beyond one year.
DOI: 10.17632/d78397j9g8
title: Demand in MW

description: The data is required to represent the load in the IEEE test bus system and the variability in load demand for a specific time resolution. This paper provides a data set for 19 actual and reactive power load demands. LSSPV commulative data was the raw and original data produced by a large solar farm in a specific region of Malaysia.
DOI: 10.15468/dl.7dyvvx
title: Occurrence Download

description: A dataset containing 66238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Geranium lucidum L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 66238 records from 738 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012923-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ed9puq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holtbyrnia macrops Maul, 1957",
 "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 ((36.2225 24.1647,35.9648 24.4806,35.9648 19.8496,37.7519 19.8496,37.7005 20.2556,37.7935 21.209,37.3891 21.7756,37.3588 22.2459,36.8499 22.7968,36.6611 23.2461,36.1736 23.4033,36.31 23.7463,36.2225 24.1647))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010227-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.18452758
title: Coding of Critical Thinking Skills in Quantum Physics Education Using a Philosophical Didactic Strategy: Subcategories, Session-Based Ratios, and Cohort Comparison

description: This document contains the full coding matrices used in the analysis of critical thinking skills in the context of introductory quantum physics education. It includes six tables detailing the qualitative categorization of students’ open-ended responses, divided into three higher-order thinking skills according to Bloom’s taxonomy: analysis, synthesis, and evaluation. For each skill, subcategories were applied to responses from two cohorts of engineering students across 10 instructional sessions. Each table presents the frequency of codes per session and the corresponding ratio, calculated as the proportion of relevant critical thinking codes relative to the total number of responses analyzed in that session. This structure allows for a comparative view of cognitive development throughout the sequence.
DOI: 10.5281/zenodo.18452757
title: Coding of Critical Thinking Skills in Quantum Physics Education Using a Philosophical Didactic Strategy: Subcategories, Session-Based Ratios, and Cohort Comparison

description: This document contains the full coding matrices used in the analysis of critical thinking skills in the context of introductory quantum physics education. It includes six tables detailing the qualitative categorization of students’ open-ended responses, divided into three higher-order thinking skills according to Bloom’s taxonomy: analysis, synthesis, and evaluation. For each skill, subcategories were applied to responses from two cohorts of engineering students across 10 instructional sessions. Each table presents the frequency of codes per session and the corresponding ratio, calculated as the proportion of relevant critical thinking codes relative to the total number of responses analyzed in that session. This structure allows for a comparative view of cognitive development throughout the sequence.
DOI: 10.15468/dl.nncagc
title: Occurrence Download

description: A dataset containing 1038070 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pontederia crassipes, Ipomoea indica, Solanum aculeatissimum, Alternanthera philoxeroides, Phytolacca americana, Pistia stratiotes, Bidens bipinnata, Erigeron canadensis, Chenopodium ficifolium, Chamaecrista mimosoides, Mimosa diplotricha, Bromus catharticus, Datura stramonium, Senna occidentalis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1038070 records from 3833 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006021-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2mpc2k
title: Occurrence Download

description: A dataset containing 169 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tenrhynea phylicifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 169 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010818-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bmwghk
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heterodontiformes",
 "Country is China",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 16 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010819-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rxpvgq
title: Occurrence Download

description: A dataset containing 216 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tephroseris longifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 216 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010821-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cegs52
title: Occurrence Download

description: A dataset containing 225 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Vitis heyneana",
 "Year 1970-2000"
 ]
}

 The dataset includes 225 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010822-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14613027
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.x4dkf8
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Torpediniformes",
 "Country is China",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 80 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010823-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.