cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48425/vu3vw890
title: V_rodents_snaptrapping_trapstatus_regional

description: Snap trapping data of rodents on the Varanger and Nordkynn peninsula. This dataset has data from the COAT regional study design. This dataset has information on missing and closed traps. Two related datasets have information on i) site-based abundances and ii) trapped individuals.

The dataset includes four different types of files and all files are saved as ;-separated txt-files:

* One data file per year (_YEAR.txt)
* One coordinate file with coordinates of all sites (_coordinates.txt)
* One auxiliary file with information about which sites are included in the study design (_aux.txt)
* One readme file with additional information (_readme.pdf)

The dataset has a two-year embargo, older versions of the dataset are publicly available for download.
DOI: 10.11588/data/nsmm6p
title: Classification of Types of Changes in Gully Environments Using Time Series Forest Algorithm [data]

description: This code implements the TimeSeriesForest algorithm to classify different types of changes in gully environments. i)gully topographical change, ii)no change outside gully, iii) no change inside gully, and iv) non-topographical change. The algorithm is specifically designed for time series classification tasks, where the input data represents the characteristics of gullies over time. The code follows a series of steps to prepare the data, train the classifier, calculate performance metrics, and generate predictions. The data preparation phase involves importing training and testing data from CSV files. The training data is then divided into classes based on their labels, and a subset of the top rows is selected for each class to create a balanced training dataset. Time series data and corresponding labels are extracted from the training data, while only the time series data is extracted from the testing data. Next, the code calculates various performance metrics to evaluate the trained classifier. It splits the training data into training and testing sets, initializes the TimeSeriesForest classifier, and trains it using the training set. The accuracy of the classifier is calculated on the testing set, and feature importances are determined. Predictions are generated for both the testing set and new data using the trained classifier. The code then computes a confusion matrix to analyze the classification results, visualizing it using Seaborn and Matplotlib. Performance metrics such as True Accuracy, Kappa, Producer's Accuracy, and User's Accuracy are calculated and printed to assess the classifier's effectiveness in classifying gully changes. Lastly, the code performs ensemble predictions by combining the testing data with the generated predictions. The results, including predictions and associated probabilities, are saved to an output file. Overall, this code provides a practical implementation of the TimeSeriesForest algorithm for classifying types of changes in gully environments, demonstrating its potential for environmental monitoring and management.
DOI: 10.5281/zenodo.10020236
title: Concrete Constraint Guided Symbolic Execution

description: Decompress the "reproduction.tar.xz" and refer to README.md to reproduce our work.
DOI: 10.5281/zenodo.10020235
title: Concrete Constraint Guided Symbolic Execution

description: Decompress the "reproduction.zip" and refer to README.md to reproduce our work.
DOI: 10.5281/zenodo.10516309
title: Concrete Constraint Guided Symbolic Execution

description: Decompress the "reproduction.tar.xz" and refer to README.md to reproduce our work.
DOI: 10.5281/zenodo.10516325
title: Concrete Constraint Guided Symbolic Execution

description: Decompress the "reproduction.zip" and refer to README.md to reproduce our work.
DOI: 10.6084/m9.figshare.24589095.v2
title: Large language models for generating rules

description: This dataset contains generated rules by LLMs.
DOI: 10.25392/leicester.data.24887028
title: BCVA data for EUPATCH randomised controlled trial

description: This is a dataset associated with the publication: "Extended Optical Treatment versus Early Patching with a High-Dose Patching Regimen in Amblyopia: A Multicentre Randomized Controlled Trial",  published by the EUPATCH consortium.
Authors: Frank Proudlock, Michael Hisaund, Gail Maconachie, Eleni Papageorgiou, Ali Manouchehrinia, Annegret Dahlmann-Noor, Payal Khandelwal, Jay Self
Christina Beisse and Irene Gottlob.
The dataset contains best-corrected visual acuity data from amblyopic and fellow eyes at key points in the trial along with demographic data.
For furthe information on how to gain access please contact Frank Proudlock (fap1@le.ac.uk), Michael Hisaund (mh486@le.ac.uk) or Irene Gottlob (ig15@le.ac.uk)
DOI: 10.25392/leicester.data.24887028.v1
title: BCVA data for EUPATCH randomised controlled trial

description: This is a dataset associated with the publication: "Extended Optical Treatment versus Early Patching with a High-Dose Patching Regimen in Amblyopia: A Multicentre Randomized Controlled Trial",  published by the EUPATCH consortium.
Authors: Frank Proudlock, Michael Hisaund, Gail Maconachie, Eleni Papageorgiou, Ali Manouchehrinia, Annegret Dahlmann-Noor, Payal Khandelwal, Jay Self
Christina Beisse and Irene Gottlob.
The dataset contains best-corrected visual acuity data from amblyopic and fellow eyes at key points in the trial along with demographic data.
For furthe information on how to gain access please contact Frank Proudlock (fap1@le.ac.uk), Michael Hisaund (mh486@le.ac.uk) or Irene Gottlob (ig15@le.ac.uk)
DOI: 10.6084/m9.figshare.25001882.v1
title: Simulated dataset for the DTDHM method

description: In the DTDHM method, we used the SinC and seqtk tools to generate simulated data of different coverage depth and tumor purity (.bam format). Then use the Samtools tool to index the BAM file (.bai format). Below is a typical set of simulated data generated on chromosome 21 (e.g., coverage depth of 6X, tumor purity of 0.4) with a read length of 100. A BAM file with complete information and a BAM file with inconsistent read pairs.
DOI: 10.6084/m9.figshare.25001882
title: Simulated dataset for the DTDHM method

description: In the DTDHM method, we used the SinC and seqtk tools to generate simulated data of different coverage depth and tumor purity (.bam format). Then use the Samtools tool to index the BAM file (.bai format). Below is a typical set of simulated data generated on chromosome 21 (e.g., coverage depth of 6X, tumor purity of 0.4) with a read length of 100. A BAM file with complete information and a BAM file with inconsistent read pairs.
DOI: 10.57745/8lh4se
title: Corpus_Extracted_Segments_Consolidated_Version.zip

description: Zip de 10 fichiers, au format texte, issus du processus de segmentation automatique avec les labels associés selon les 4 classes - Zip of 10 files, in text format, resulting from the automatic segmentation process with the associated labels according to the 4 classes (Verifiable, Non-verifiable, Informative and Not pertinent)
DOI: 10.57745/2ks1ro
title: Read_Me_Consolidated_Version.pdf

description: Annotation protocol with the definition of the used terms (segments, rules).
DOI: 10.57745/2uf9jx
title: Lisez_Moi_Consolidated_Version.pdf

description: Protocole d’annotation avec la définition des différents termes employés (segments, règles).
DOI: 10.57745/b6wvvl
title: Corpus_Extracted_Segments_Consolidated_Version.zip

description: Zip de 10 fichiers, au format texte, issus du processus de segmentation automatique avec les labels associés selon les 4 classes - Zip of 10 files, in text format, resulting from the automatic segmentation process with the associated labels according to the 4 classes (Verifiable, Non-verifiable, Informative and Not pertinent)
DOI: 10.57745/gbhex8
title: Corpus_Manually_Annotation_Consolidated_Version.zip

description: Zip des documents du corpus après pré-traitement et annotation manuelle (données d'entrée du processus de segmentation automatique) - Zip of the corpus documents after pre-processing and annotation.
DOI: 10.57745/p0pdsy
title: Corpus_Manually_Annotation_Consolidated_Version.zip

description: Zip des documents du corpus après pré-traitement et annotation manuelle (données d'entrée du processus de segmentation automatique) - Zip of the corpus documents after pre-processing and annotation.
DOI: 10.57745/teoxw5
title: Corpus_Expert_Links.tab

description: Ensemble des liens vers les documents du corpus thématique expert - Links to the documents of the expert thematic corpus.
DOI: 10.57745/2bfaxk
title: Corpus_Extracted_Segments_Consolidated_Version.zip

description: Zip de 10 fichiers, au format texte, issus du processus de segmentation automatique avec les labels associés selon les 4 classes - Zip of 10 files, in text format, resulting from the automatic segmentation process with the associated labels according to the 4 classes (Verifiable, Non-verifiable, Informative and Not pertinent)
DOI: 10.57745/5gjayb
title: Corpus_Manual_Annotation_Consolidated_Version.zip

description: Zip des documents du corpus après pré-traitement et annotation manuelle (données d'entrée du processus de segmentation automatique) - Zip of the corpus documents after pre-processing and annotation.
DOI: 10.57745/eggfex
title: LUPAN_code.zip

description: The code of the corpus construction and preliminary evaluation for LUPAN.
DOI: 10.57745/mhb4tt
title: LUPAN_code.zip

description: The code of the corpus construction and preliminary evaluation for LUPAN.
DOI: 10.57745/qkh2k4
title: Lisez_Moi_Consolidated_Version.pdf

description: Protocole d’annotation avec la définition des différents termes employés (segments, règles).
DOI: 10.57745/c8jwqk
title: LUPAN_code.zip

description: The code of the corpus construction and preliminary evaluation for LUPAN.
DOI: 10.57745/cyortl
title: Read_Me_Consolidated_Version.pdf

description: Annotation protocol with the definition of the used terms (segments, rules).
DOI: 10.57745/jyi8yz
title: Corpus_Manual_Annotation_Consolidated_Version.zip

description: Zip des documents du corpus après pré-traitement et annotation manuelle (données d'entrée du processus de segmentation automatique) - Zip of the corpus documents after pre-processing and annotation.
DOI: 10.57745/kgdeud
title: Corpus_Extracted_Segments_Consolidated_Version.zip

description: Zip de 10 fichiers, au format texte, issus du processus de segmentation automatique avec les labels associés selon les 4 classes - Zip of 10 files, in text format, resulting from the automatic segmentation process with the associated labels according to the 4 classes (Verifiable, Non-verifiable, Informative and Not pertinent)
DOI: 10.17031/659bc6a469219
title: 1982 MBA Bay of Biscay RV Sir Frederick Russell Cruise No. 4

description: Records from the RV Sir Frederick Russell Cruise in April 1982 to the underwater canyons off the north coast of Spain in the Bay of Biscay. Samples collected using a number of methods including anchor dredge, small anchor dredge, pipe corer, phleger corer and Agassiz trawl. Records supplied by Dr. Eve Southward and collated by DASSH as part of the 'Dredging the Depths' project.
DOI: 10.5281/zenodo.10489649
title: Data from: Carbon cycle response to stratospheric aerosol injection with multiple temperature stabilization targets and strategies
DOI: 10.5281/zenodo.10489650
title: Data from: Carbon cycle response to stratospheric aerosol injection with multiple temperature stabilization targets and strategies
DOI: 10.5281/zenodo.7908576
title: Original files of the high content imaging flow cytometry

description: These are original files which were used to generate figures' panels
DOI: 10.5281/zenodo.7908577
title: Original files of the high content imaging flow cytometry

description: These are original files which were used to generate figures' panels
DOI: 10.6084/m9.figshare.24589095
title: Large language models for generating rules

description: This dataset contains generated rules by LLMs.
DOI: 10.6084/m9.figshare.24589095.v3
title: Large language models for generating rules

description: This dataset contains generated rules by LLMs.
DOI: 10.48480/tga8-t109
title: Steckbriefe für biobasierte Kohlenstoffdioxid-Entnahmeoptionen in Deutschland
DOI: 10.5281/zenodo.10517671
title: Raw data for The time-dependent effects of cadmium exposure in non-tumoral breast cells
DOI: 10.5281/zenodo.10517672
title: Raw data for The time-dependent effects of cadmium exposure in non-tumoral breast cells
DOI: 10.6084/m9.figshare.25002574
title: Impact of reservoir quality on the carbon storage potential of the Bunter Sandstone Formation, Southern North Sea

description: Supplementary Material: section a–a'
DOI: 10.6084/m9.figshare.25002574.v1
title: Impact of reservoir quality on the carbon storage potential of the Bunter Sandstone Formation, Southern North Sea

description: Supplementary Material: section a–a'
DOI: 10.6084/m9.figshare.25002575
title: Supplementary Material for: SGLT2 inhibitors decrease overhydration and proteasuria in patients with chronic kidney disease: a longitudinal observational study

description: Introduction: SGLT2 inhibitors are used to reduce the risk of progression of chronic kidney disease (CKD). In patients with type 2 diabetes, they have been found to reduce extracellular volume. Given the high prevalence of extracellular volume expansion and overhydration in CKD, we investigated whether SGLT2 inhibitors might correct these disturbances in CKD patients.
Methods: CKD patients who started treatment with an SGLT2 inhibitor were investigated in this prospective observational study for 6 months. Body composition and fluid status were measured by bioimpedance spectroscopy. In addition, spot urine samples were analyzed for albuminuria, glucosuria and urinary aprotinin-sensitive serine protease activity.
Results: 42 patients (29 % with diabetic/hypertensive CKD, 31 % with IgA nephropathy; 88 % dapagliflozin 10 mg, 10 % dapagliflozin 5 mg, 2 % empagliflozin 20 mg; median eGFR 46 mL/min/1.73m² and albuminuria 1911 mg/g creatinine) participated in the study. Median glucosuria increased to 14 (10-19) g/g creatinine. At baseline, patients displayed overhydration (OH) with + 0.4 (-0.2 – 2.2) L/1.73m² which decreased by 0.5 (0.1 – 1.2) L/1.73m² after 6 months. Decrease of OH correlated with higher OH at BL, decrease of albuminuria, glucosuria and urinary aprotinin-sensitive protease activity. Adipose tissue mass was not significantly reduced after 6 months.
Conclusion: SGLT2 inhibitors reduce overhydration in patients with CKD, which is pronounced in the presence of high albuminuria, glucosuria and urinary aprotinin-sensitive protease activity.
DOI: 10.6084/m9.figshare.25002575.v1
title: Supplementary Material for: SGLT2 inhibitors decrease overhydration and proteasuria in patients with chronic kidney disease: a longitudinal observational study

description: Introduction: SGLT2 inhibitors are used to reduce the risk of progression of chronic kidney disease (CKD). In patients with type 2 diabetes, they have been found to reduce extracellular volume. Given the high prevalence of extracellular volume expansion and overhydration in CKD, we investigated whether SGLT2 inhibitors might correct these disturbances in CKD patients.
Methods: CKD patients who started treatment with an SGLT2 inhibitor were investigated in this prospective observational study for 6 months. Body composition and fluid status were measured by bioimpedance spectroscopy. In addition, spot urine samples were analyzed for albuminuria, glucosuria and urinary aprotinin-sensitive serine protease activity.
Results: 42 patients (29 % with diabetic/hypertensive CKD, 31 % with IgA nephropathy; 88 % dapagliflozin 10 mg, 10 % dapagliflozin 5 mg, 2 % empagliflozin 20 mg; median eGFR 46 mL/min/1.73m² and albuminuria 1911 mg/g creatinine) participated in the study. Median glucosuria increased to 14 (10-19) g/g creatinine. At baseline, patients displayed overhydration (OH) with + 0.4 (-0.2 – 2.2) L/1.73m² which decreased by 0.5 (0.1 – 1.2) L/1.73m² after 6 months. Decrease of OH correlated with higher OH at BL, decrease of albuminuria, glucosuria and urinary aprotinin-sensitive protease activity. Adipose tissue mass was not significantly reduced after 6 months.
Conclusion: SGLT2 inhibitors reduce overhydration in patients with CKD, which is pronounced in the presence of high albuminuria, glucosuria and urinary aprotinin-sensitive protease activity.
DOI: 10.6084/m9.figshare.25002497.v1
title: Soil respiration on field mesocosms 2022

description: Soil respiration rates were meticulously assessed on two separate occasions: July 19 and September 20, 2022. These rates were quantified by capturing the flux of CO2 emanating from the soil surface, utilizing the widely recognized Closed Dynamic Chamber method. The methodology employed an Li-8100A field respirometer from Li-Cor Biosciences, USA, in conjunction with polypropylene rings that featured an internal diameter of 105 mm. These rings were embedded into the soil of the mesocosms at a depth of 3 cm to ensure a consistent measurement environment. Concurrent with the respiration rate determinations, soil temperature readings were taken using a precise soil thermometer, part of the respirometer's assembly, capable of 0.1°C resolution. This thermometer, an Omega 88311E model from OMEGA Engineering, UK, provided high accuracy in monitoring the thermal state of the soil. Additionally, soil volumetric moisture content was accurately gauged to within 0.1% using a ThetaProbe ML2 sensor from Delta-T Devices, UK, which was interfaced with the respirometer's control unit for seamless data integration.To ensure a comprehensive understanding of the environmental conditions, both soil humidity and temperature were recorded at the same 5 cm depth as the respiration measurements. Furthermore, air temperature was also tracked, thanks to a built-in sensor in the respirometer's chamber, to account for atmospheric influences on the soil's respiratory activity. The timing of the measurements was carefully selected to reflect typical daytime conditions, consistently conducted between 10 a.m. and 4 p.m. This scheduling minimized variations in diurnal temperature and light that could potentially influence the respiration readings. Experimental design was structured to facilitate robust data analysis, with mesocosms arranged in clusters of eight replicates. These clusters were further organized into three lines, consisting of five clusters each, to standardize the spatial distribution of the measurement points. On the latter date of September 20, additional comparative data was collected from the surrounding meadows adjacent to the experimental site. Eight background soil respiration measurements were conducted to provide a baseline for the experimental readings. To minimize any potential systematic bias due to the natural daily fluctuations of soil and air temperatures, the order in which the mesocosms were measured was deliberately varied between the two dates. This careful randomization ensured that the temporal dynamics did not skew the results, thereby enhancing the reliability of the study's findings.
DOI: 10.6084/m9.figshare.25002497
title: Soil respiration on field mesocosms 2022

description: Soil respiration rates were meticulously assessed on two separate occasions: July 19 and September 20, 2022. These rates were quantified by capturing the flux of CO2 emanating from the soil surface, utilizing the widely recognized Closed Dynamic Chamber method. The methodology employed an Li-8100A field respirometer from Li-Cor Biosciences, USA, in conjunction with polypropylene rings that featured an internal diameter of 105 mm. These rings were embedded into the soil of the mesocosms at a depth of 3 cm to ensure a consistent measurement environment. Concurrent with the respiration rate determinations, soil temperature readings were taken using a precise soil thermometer, part of the respirometer's assembly, capable of 0.1°C resolution. This thermometer, an Omega 88311E model from OMEGA Engineering, UK, provided high accuracy in monitoring the thermal state of the soil. Additionally, soil volumetric moisture content was accurately gauged to within 0.1% using a ThetaProbe ML2 sensor from Delta-T Devices, UK, which was interfaced with the respirometer's control unit for seamless data integration.To ensure a comprehensive understanding of the environmental conditions, both soil humidity and temperature were recorded at the same 5 cm depth as the respiration measurements. Furthermore, air temperature was also tracked, thanks to a built-in sensor in the respirometer's chamber, to account for atmospheric influences on the soil's respiratory activity. The timing of the measurements was carefully selected to reflect typical daytime conditions, consistently conducted between 10 a.m. and 4 p.m. This scheduling minimized variations in diurnal temperature and light that could potentially influence the respiration readings. Experimental design was structured to facilitate robust data analysis, with mesocosms arranged in clusters of eight replicates. These clusters were further organized into three lines, consisting of five clusters each, to standardize the spatial distribution of the measurement points. On the latter date of September 20, additional comparative data was collected from the surrounding meadows adjacent to the experimental site. Eight background soil respiration measurements were conducted to provide a baseline for the experimental readings. To minimize any potential systematic bias due to the natural daily fluctuations of soil and air temperatures, the order in which the mesocosms were measured was deliberately varied between the two dates. This careful randomization ensured that the temporal dynamics did not skew the results, thereby enhancing the reliability of the study's findings.
DOI: 10.5281/zenodo.10517868
title: List of the cell wall genes sorted from our transcriptomic analysis and their quantification
DOI: 10.5281/zenodo.10517869
title: List of the cell wall genes sorted from our transcriptomic analysis and their quantification
DOI: 10.6084/m9.figshare.23935701
title: Oracle-MNIST

description: Oracle-MNIST dataset comprises of 28×28 grayscale images of 30,222 ancient characters from 10 categories, for benchmarking pattern classification, with particular challenges on image noise and distortion. The training set totally consists of 27,222 images, and the test set contains 300 images per class.
DOI: 10.6084/m9.figshare.23935701.v1
title: Oracle-MNIST

description: Oracle-MNIST dataset comprises of 28×28 grayscale images of 30,222 ancient characters from 10 categories, for benchmarking pattern classification, with particular challenges on image noise and distortion. The training set totally consists of 27,222 images, and the test set contains 300 images per class.
DOI: 10.6084/m9.figshare.24933279
title: Oracle-MNIST-224size

description: Oracle-MNIST dataset with a resolution of 224×224
DOI: 10.6084/m9.figshare.24933279.v1
title: Oracle-MNIST-224size

description: Oracle-MNIST dataset with a resolution of 224×224