cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.18241195.v1
title: Hot spot identification method based on Andrews curves: an application on the COVID-19 crisis effects on caregiver distress in neurocognitive disorder

description: Identifying and locating areas – hot spots – that present high concentration of observations in a high-dimensional data set is crucial in many data processing and analysis methods and techniques, since observations that belong to the same hot spot share information and behave in a similar way. A useful tool towards that aim is the reduction of the data dimensionality and the graphical representation of them. In the present paper, a new method to identify and locate hot spots is proposed, based on the Andrews curves. Simulations results demonstrate the performance of the proposed method, which is also applied to a high-dimensional data set, regarding caregiver distress related to symptoms of people with neurocognitive disorder and to the mental effects of the recent outbreak of the COVID-19 pandemic.
DOI: 10.6084/m9.figshare.19710628.v1
title: Classification and severity progression measure of COVID-19 patients using pairs of multi-omic factors

description: Early detection and effective treatment of severe COVID-19 patients remain two major challenges during the current pandemic. Analysis of molecular changes in blood samples of severe patients is one of the promising approaches to this problem. From thousands of proteomic, metabolomic, lipidomic, and transcriptomic biomarkers selected in other research, we identify several <i>pairs of biomarkers</i> that after additional nonlinear spline transformation are highly effective in classifying and predicting severe COVID-19 cases. The performance of these pairs is evaluated in-sample, in a cross-validation exercise, and in an out-of-sample analysis on two independent datasets. We further improve our classifier by identifying complementary pairs using hierarchical clustering. In a result, we achieve 96–98% AUC on the validation data. Our findings can help medical experts to identify small groups of biomarkers that after nonlinear transformation can be used to construct a cost-effective test for patient screening and prediction of severity progression.
DOI: 10.5519/qd.28gzrq1h
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (444 records)
DOI: 10.5281/zenodo.8159848
title: test data submission

description: Test
DOI: 10.5281/zenodo.8159847
title: test data submission

description: Test
DOI: 10.6084/m9.figshare.23821983
title: Birds_measurements_multisp

description: A data file of bird and habitat measurements is presented. <b>Sheet 1</b> contains information on morphological traits of the study populations: The columns represent different characteristics of the study areas where the birds were captured (region, name of the study area, altitude and year); species characteristics (identification number, species name, age and sex); bird measurements (tarsus, wing and primary octave); feather measurements (length, growth bars and mass); and habitat characteristics (main component of the vegetation structure). Rows represent information for each individual sampled. <b>Sheet 2</b> contains specific information on measurements to calculate wing shape. <b>Sheet 3</b> contains additional information briefly explaining each variable.
DOI: 10.6084/m9.figshare.23821983.v1
title: Birds_measurements_multisp

description: A data file of bird and habitat measurements is presented. <b>Sheet 1</b> contains information on morphological traits of the study populations: The columns represent different characteristics of the study areas where the birds were captured (region, name of the study area, altitude and year); species characteristics (identification number, species name, age and sex); bird measurements (tarsus, wing and primary octave); feather measurements (length, growth bars and mass); and habitat characteristics (main component of the vegetation structure). Rows represent information for each individual sampled. <b>Sheet 2</b> contains specific information on measurements to calculate wing shape. <b>Sheet 3</b> contains additional information briefly explaining each variable.
DOI: 10.5281/zenodo.7990386
title: MI dataset(Monogononta)

description: the Monogononta images in MI dataset
DOI: 10.5281/zenodo.7990385
title: MI dataset(Monogononta)

description: the Monogononta images in MI dataset
DOI: 10.25934/pr00007929.1
title: Available datapackage for dataset 'ATLAS_Antifungals'

description: Primary Objective The ATLAS programme monitors changes in antibiotic susceptibility, bacterial resistance trends and emergence of new resistance mechanism for both marketed and in development antibiotics.  In addition, provides genotypic information when tested.  The SENTRY platform data allow for monitoring of antifungal susceptibility and resistance trending of key antifungals.
description: The ATLAS programme is one overall study (formerly TEST, INFORM and AWARE) fulfilling regulatory requirements and supporting appropriate use measures for both marketed antibiotics (Tygacil, Zyvox, Zosyn/Tazocin, Zavicefta, Zinforo, Merrem and others)  by monitoring changes in antibiotic susceptibility, bacterial resistance trends and emergence of new resistance mechanisms.   CLSI breakpoints are utilized but the option exists to analyse the data by using EUCAST breakpoints.   All bacterial isolate identifications and susceptibility profiles are performed by standardized broth microdilution methods by a central lab.  The antifungal data from the SENTRY platform are generated by standardized antifungal susceptibility methods performed at a central laboratory.
DOI: 10.6084/m9.figshare.23822151
title: File 5 : Matlab file for part 1 and of the experiment from Mirror exposure following visual body-size adaptation does not affect own body image

description: File 5 : This matlab file corresponds to the baseline PSE measures and should be launched first.
DOI: 10.6084/m9.figshare.23822151.v1
title: File 5 : Matlab file for part 1 and of the experiment from Mirror exposure following visual body-size adaptation does not affect own body image

description: File 5 : This matlab file corresponds to the baseline PSE measures and should be launched first.
DOI: 10.6084/m9.figshare.23822154
title: Dataset for the main experiment from Mirror exposure following visual body-size adaptation does not affect own body image

description: Data for the main experiment in CSV format.
DOI: 10.6084/m9.figshare.23822154.v1
title: Dataset for the main experiment from Mirror exposure following visual body-size adaptation does not affect own body image

description: Data for the main experiment in CSV format.
DOI: 10.6084/m9.figshare.23822157
title: Dataset for the replication experiment from Mirror exposure following visual body-size adaptation does not affect own body image

description: Data for the replication experiment in CSV format.
DOI: 10.6084/m9.figshare.23822157.v1
title: Dataset for the replication experiment from Mirror exposure following visual body-size adaptation does not affect own body image

description: Data for the replication experiment in CSV format.
DOI: 10.6084/m9.figshare.23822160
title: File 6 : Matlab file for part 2 and of the experiment from Mirror exposure following visual body-size adaptation does not affect own body image

description: File 6 : This matlab file corresponds to the adaptation and post adaptation PSE measures and should be launched second.
DOI: 10.6084/m9.figshare.23822160.v1
title: File 6 : Matlab file for part 2 and of the experiment from Mirror exposure following visual body-size adaptation does not affect own body image

description: File 6 : This matlab file corresponds to the adaptation and post adaptation PSE measures and should be launched second.
DOI: 10.6084/m9.figshare.23822163.v1
title: Dataset key for the main experiment from Mirror exposure following visual body-size adaptation does not affect own body image

description: Key for the dataset for the main experiment
DOI: 10.6084/m9.figshare.23822163
title: Dataset key for the main experiment from Mirror exposure following visual body-size adaptation does not affect own body image

description: Key for the dataset for the main experiment
DOI: 10.6084/m9.figshare.23822166
title: Dataset key for the replication experiment from Mirror exposure following visual body-size adaptation does not affect own body image

description: Key for the dataset for the replication experiment
DOI: 10.6084/m9.figshare.23822166.v1
title: Dataset key for the replication experiment from Mirror exposure following visual body-size adaptation does not affect own body image

description: Key for the dataset for the replication experiment
DOI: 10.34740/kaggle/dsv/6236472
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.34740/kaggle/dsv/6236481
title: UNET Lung Segmentation Weights for Chest X Rays
DOI: 10.6084/m9.figshare.23822145
title: Supplementary Table S3

description: The variants effect predictor (VEP) annotation of all significant variants.
DOI: 10.6084/m9.figshare.23822145.v1
title: Supplementary Table S3

description: The variants effect predictor (VEP) annotation of all significant variants.
DOI: 10.6084/m9.figshare.23822067
title: Supplementary Table S2

description: The significant genes (p value &lt; 1.92e-6 i.e. nominal Type-I error of 0.05 with total number of 26,071 gene tests) detected by MAGMA gene analysis for each trait and the possible outcome of the mutation in this gene given from mammalian phenotype database (MPD).
DOI: 10.6084/m9.figshare.23822058
title: Supplementary Table S1

description: The annotation of the nearest gene by mammalian phenotype database.
DOI: 10.6084/m9.figshare.23822058.v1
title: Supplementary Table S1

description: The annotation of the nearest gene by mammalian phenotype database.
DOI: 10.6084/m9.figshare.21777424
title: Engineering <i>Trichoderma reesei</i> for the hyperproduction of cellulose induced protein 1 (Cip1) on a sophorose-containing inducer to efficiently saccharify alkali-pretreated corn stover

description: <i>Trichoderma reesei</i> was induced to produce cellulase by a combination of glucose and β-disaccharide; however, lower levels of auxiliary proteins for degrading lignocellulosic biomass were detected by iTRAQ analysis compared with cellulose as an inducer, especially cellulose induced protein 1 (CIP1). In this study, A <i>pdc1</i> promoter-driven overexpression of the endogenous <i>Trcip1</i> gene was observed in <i>T. reesei</i> Rut C30, and the <i>Trcip1</i> transcription levels of the two transformants, <i>T. reesei</i> OE-cip1-1 and OE-cip1-2, demonstrated 31.2- and 164.6-fold increases, respectively, but there was no significant change in cellobiohydrolase, endoglucanase and filter paper activity at 48 h. The crude enzyme was then used to hydrolyze corn stover. For <i>T. reesei</i> OE-cip1-1 and OE-cip1-2, the hydrolysis efficiency increased by 25.0 and 28.6% with a solid loading of 5% at 2 h, respectively. Simultaneously, 85.5 and 85.2 g/L glucose were released using a cellulase cocktail at high solid loading (20%), and these glucose release rates were significantly greater than that of <i>T. reesei</i> Rut C30 cellulase (77.4 g/L) at 120 h. Furthermore, scanning electron microscopy (SEM) and X-ray diffraction (XRD) showed that the enhanced hydrolysis efficiency was primarily triggered by the decrease in the crystallinity of lignocellulose, and the fiber structure had varying degrees of loosening and disintegration.
DOI: 10.6084/m9.figshare.21777424.v1
title: Engineering <i>Trichoderma reesei</i> for the hyperproduction of cellulose induced protein 1 (Cip1) on a sophorose-containing inducer to efficiently saccharify alkali-pretreated corn stover

description: <i>Trichoderma reesei</i> was induced to produce cellulase by a combination of glucose and β-disaccharide; however, lower levels of auxiliary proteins for degrading lignocellulosic biomass were detected by iTRAQ analysis compared with cellulose as an inducer, especially cellulose induced protein 1 (CIP1). In this study, A <i>pdc1</i> promoter-driven overexpression of the endogenous <i>Trcip1</i> gene was observed in <i>T. reesei</i> Rut C30, and the <i>Trcip1</i> transcription levels of the two transformants, <i>T. reesei</i> OE-cip1-1 and OE-cip1-2, demonstrated 31.2- and 164.6-fold increases, respectively, but there was no significant change in cellobiohydrolase, endoglucanase and filter paper activity at 48 h. The crude enzyme was then used to hydrolyze corn stover. For <i>T. reesei</i> OE-cip1-1 and OE-cip1-2, the hydrolysis efficiency increased by 25.0 and 28.6% with a solid loading of 5% at 2 h, respectively. Simultaneously, 85.5 and 85.2 g/L glucose were released using a cellulase cocktail at high solid loading (20%), and these glucose release rates were significantly greater than that of <i>T. reesei</i> Rut C30 cellulase (77.4 g/L) at 120 h. Furthermore, scanning electron microscopy (SEM) and X-ray diffraction (XRD) showed that the enhanced hydrolysis efficiency was primarily triggered by the decrease in the crystallinity of lignocellulose, and the fiber structure had varying degrees of loosening and disintegration.
DOI: 10.6084/m9.figshare.23812830.v23
title: Development of global monthly dataset of CMIP6 climate variables for estimating evapotranspiratio

description: Regridding Global CMIP6 GCMs dataset(0.5 degree)Historical dataset:14 CMIP6 GCMs (1850-2014)Future dataset: 14CMIP6 GCMs and 4 SSP scenarios (2015-2100)Composition of dataset: Average temperature, Maximum temperature, Minimum temperature, Windspeed, Relative humidity, Solar radiationIf you are using our codes and dataset, please use the following references:Song, Y.H., Chung, E.S., Shahid, S., Kim, Y.J., Kim, D.K. 2023. Development of global monthly dataset of CMIP6 climate variables for estimating evapotranspiration. Scientific Data.<br>
DOI: 10.5281/zenodo.8208085
title: acanthis_cabaret_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8208084
title: acanthis_cabaret_zanfona_1.fasta.gz

description: .
DOI: 10.6084/m9.figshare.23822178
title: Radioactive Heat Production variations in the Faroe-Shetland Basin: key new heat production, geological and geochronological data for regional and local basin modelling

description: Table S2. Geoghoronology.
DOI: 10.6084/m9.figshare.23822178.v1
title: Radioactive Heat Production variations in the Faroe-Shetland Basin: key new heat production, geological and geochronological data for regional and local basin modelling

description: Table S2. Geoghoronology.
DOI: 10.6084/m9.figshare.23822181
title: Radioactive Heat Production variations in the Faroe-Shetland Basin: key new heat production, geological and geochronological data for regional and local basin modelling

description: Table S1. Mineralogical data.
DOI: 10.6084/m9.figshare.23822181.v1
title: Radioactive Heat Production variations in the Faroe-Shetland Basin: key new heat production, geological and geochronological data for regional and local basin modelling

description: Table S1. Mineralogical data.
DOI: 10.5281/zenodo.8207803
title: Call Graph Soundness in Android Static Analysis

description: <pre>## Artifact Folder Structure Below is a brief explanation of each directory of our artifacts: - **dataset/**: Contains the dataset used in our study. - **dynamic_analysis/**: Contains everything needed to reproduce our dynamic analysis experiments. - **static_analysis/**: Contains everything needed to reproduce our static analyses experiments. - **instrumentation/**: Contains the necessary files to instrument the apps for the dynamic analysis. - **SLR/**: Contains the excel files with the papers collected during our Systematic Literature Review (SLR). - **results/**: Contains the results of our static analysis. Please ensure that all the necessary files and resources are present in the respective directories before running any experiments.</pre>
DOI: 10.5281/zenodo.8207802
title: Call Graph Soundness in Android Static Analysis

description: <pre>## Artifact Folder Structure Below is a brief explanation of each directory of our artifacts: - **dataset/**: Contains the dataset used in our study. - **dynamic_analysis/**: Contains everything needed to reproduce our dynamic analysis experiments. - **static_analysis/**: Contains everything needed to reproduce our static analyses experiments. - **instrumentation/**: Contains the necessary files to instrument the apps for the dynamic analysis. - **SLR/**: Contains the excel files with the papers collected during our Systematic Literature Review (SLR). - **results/**: Contains the results of our static analysis. Please ensure that all the necessary files and resources are present in the respective directories before running any experiments.</pre>
DOI: 10.5281/zenodo.8208097
title: SCALABLE - Social-ecological pathways and gender perspectives for future conservation of biocultural mountain agro-ecosystems - Deliverable 3.1: Future scenarios developed for the conservation of mountain agro-ecosystems

description: This dataset contains the results from participatory mapping workshops with local communities in the municipality of Abrucena, in Almería, Spain. Participatory workshops were carried out divided by gender in different days. In addition, within each workshop, participants were dividing in two different groups. Participants were asked to: a) map future biocultural diversity elements in the region (i.e., practices, knowledge, and traditions); and b) identify strategies to reach the ideal future scenario for the conservation of biocultural diversity in the region. In this upload you can find 4 files: 1- Database of future scenarios for biocultural diversity identified by women: this file contains the dataset with biocultural diversity elements identified and classified by three categories: practices, knowledge, traditions. 2- Database of future strategies to achieve future scenarios for the conservation of biocultural diversity identified by women: first sheet contains the dataset with strategies identified, and actors involved in each strategy. Second sheet contains general observations of the strategies to facilitate the interpretation of the data. 3- Database of future scenarios for biocultural diversity identified by men: this file contains the dataset with biocultural diversity elements identified and classified by three categories: practices, knowledge, traditions. 4- Database of future strategies to achieve future scenarios for the conservation of biocultural diversity identified by men: first sheet contains the dataset with strategies identified, and actors involved in each strategy. Second sheet contains general observations of the strategies to facilitate the interpretation of the data.
description: "This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101031168".
DOI: 10.5281/zenodo.8208096
title: SCALABLE - Social-ecological pathways and gender perspectives for future conservation of biocultural mountain agro-ecosystems - Deliverable 3.1: Future scenarios developed for the conservation of mountain agro-ecosystems

description: This dataset contains the results from participatory mapping workshops with local communities in the municipality of Abrucena, in Almería, Spain. Participatory workshops were carried out divided by gender in different days. In addition, within each workshop, participants were dividing in two different groups. Participants were asked to: a) map future biocultural diversity elements in the region (i.e., practices, knowledge, and traditions); and b) identify strategies to reach the ideal future scenario for the conservation of biocultural diversity in the region. In this upload you can find 4 files: 1- Database of future scenarios for biocultural diversity identified by women: this file contains the dataset with biocultural diversity elements identified and classified by three categories: practices, knowledge, traditions. 2- Database of future strategies to achieve future scenarios for the conservation of biocultural diversity identified by women: first sheet contains the dataset with strategies identified, and actors involved in each strategy. Second sheet contains general observations of the strategies to facilitate the interpretation of the data. 3- Database of future scenarios for biocultural diversity identified by men: this file contains the dataset with biocultural diversity elements identified and classified by three categories: practices, knowledge, traditions. 4- Database of future strategies to achieve future scenarios for the conservation of biocultural diversity identified by men: first sheet contains the dataset with strategies identified, and actors involved in each strategy. Second sheet contains general observations of the strategies to facilitate the interpretation of the data.
description: "This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101031168".
DOI: 10.5281/zenodo.8199893
title: Interactive recommendations and action list for technical report from the UKRI Net Zero DRI Scoping Project

description: The UKRI Net Zero DRI Scoping Project produced evidence-based recommendations. This dataset provides an interactive way to list all of the recommendations and actions from the project. These files have been provided to show the mapping and links between the specific recommendations and the different strategic themes and roadmap actions proposed by the project. Three file formats have been provided for ease of use: Excel, PDF, CSV. The recommendations, if opened in a spreadsheet, can be sorted or filtered based on a range of interest areas e.g. type of evidence, delivery pathway, strategic theme, delivery year. There are two tabs in the spreadsheet. The first tab shows the recommendations discussed in the 'toolkit' section of the project's final technical report. The second tab shows actions discussed in the 'roadmap' section of the report. For full details about the evidence that underpins these recommendations, please see technical report found here: https://doi.org/10.5281/zenodo.8199984 The authors cited here are those who produced the files uploaded. Many other contributors are named in the technical report and is a synthesis of their work. Please also cite the technical report if you use this dataset.
DOI: 10.6084/m9.figshare.23822223
title: Data S1 from Phylogenetic meta-analysis reveals system-specific behavioural type – behavioural predictability correlations

description: List of excluded studies with reasons for exclusion
DOI: 10.6084/m9.figshare.23822223.v1
title: Data S1 from Phylogenetic meta-analysis reveals system-specific behavioural type – behavioural predictability correlations

description: List of excluded studies with reasons for exclusion
DOI: 10.6084/m9.figshare.23822187
title: Div_effects_Sp_level

description: The data set is associated with the publication "Tree community overyielding during early stand development is explained by asymmetric species-specific responses to diversity" by Urgoiti, Messier, Keeton, and Paquette. It provides data regarding the basal area at species level per plot and year from the IDENT experiment of Montreal from 2009 to 2019. Information about block, plot, and species richness is also given.
DOI: 10.6084/m9.figshare.23822187.v1
title: Div_effects_Sp_level.xlsx

description: The data set is associated with the publication "Tree community overyielding during early stand development is explained by asymmetric species-specific responses to diversity" by Urgoiti, Messier, Keeton, and Paquette. It provides data regarding the basal area at species level per plot and year from the IDENT experiment of Montreal from 2009 to 2019. Information about block, plot, and species richness is also given.