cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15151/esrf-es-1335972690
title: Cumaean pottery: firing conditions and raw materials in 8th-6th century BCE.

description: Cumae was founded by Greeks in the 8th century BCE and is regarded the first colony established on the European continent. The colony was famous for the quality of the ceramic production and specifically cooking pottery. This project aims to learn more about the production methods and firing conditions used in the ancient colony of Cumae. We would like to call the attention on two types of samples in particular: cooking pottery shards and painted ceramics. These two types of samples caught our interest following the X-ray diffraction (XRD) experiments performed on ID22. The high quality of the observed diffraction profiles allowed us to characterize the mineral composition and find peculiar phases. Further analysis on these types of samples would help to generalize these findings and clarify the pottery production methods and the raw materials used to create Cumaean pottery.
DOI: 10.17632/jvszp9cbpw.1
title: SenMangoFruitDDS

description: MangoFruitDDS is a dataset of mango fruit diseases containing images of 224*224 in JPG format. The dataset contains images of  four diseases namely Alternaria, Anthracnose, Black Mould Rot and Stem and Rot. An additionnal category in the dataset is healthy fruits. Fruit images are captured from an orchard located in Senegal, using mobile phone camera.
Two versions are proposed: SenMangoFruitDDS_original is the one with original images and SenMangoFruitDDS_bgremoved contains images with background remove.
DOI: 10.17632/jvszp9cbpw.2
title: SenMangoFruitDDS

description: MangoFruitDDS is a dataset of mango fruit diseases containing images of 224*224 in JPG format. The dataset contains images of  four diseases namely Alternaria, Anthracnose, Black Mould Rot and Stem and Rot. An additionnal category in the dataset is healthy fruits. Fruit images are captured from an orchard located in Senegal, using mobile phone camera.
Two versions are proposed: SenMangoFruitDDS_original is the one with original images and SenMangoFruitDDS_bgremoved contains images with background remove.
DOI: 10.17632/jvszp9cbpw.3
title: MangoFruitDDS

description: MangoFruitDDS is a dataset of mango fruit diseases containing images of 224*224 in JPG format. The dataset contains images of  four diseases namely Alternaria, Anthracnose, Black Mould Rot and Stem and Rot. An additionnal category in the dataset is healthy fruits. Fruit images are captured from an orchard located in Senegal, using mobile phone camera.
Two versions are proposed: SenMangoFruitDDS_original is the one with original images and SenMangoFruitDDS_bgremoved contains images with background remove.
DOI: 10.6084/m9.figshare.24501682
title: War-related safety preparatory behavior

description: The aim of the present study was to understand the role of transdiagnostic vulnerabilities, namely IU and neuroticism, in initiating safety-seeking preparatory behaviours under the threat of an imminent war. How do these dispositional traits predict the engagement in safety-seeking across core symptoms of anxiety and fear of war, a few weeks after the outbreak of the Russia-Ukraine war? Due to the lack of suitable measures in the literature to cover the phenomenon, first a short inventory for measuring these safety actions, the War-Related Preparatory Safety-Seeking Inventory (W-PRESS) was elaborated and validated via Item Response Theory (IRT). Next, a transdiagnostic cognitive behavioural framework was proposed for the determinants of W-PRESS: intolerance of Uncertainty (IUS-12), fear of war (FOWARS), neuroticism (Big-Five) and anxiety (DASS). The Structural Equation Modelling (SEM) results confirmed the proposed model.
DOI: 10.6084/m9.figshare.24501682.v1
title: War-related safety preparatory behavior

description: The aim of the present study was to understand the role of transdiagnostic vulnerabilities, namely IU and neuroticism, in initiating safety-seeking preparatory behaviours under the threat of an imminent war. How do these dispositional traits predict the engagement in safety-seeking across core symptoms of anxiety and fear of war, a few weeks after the outbreak of the Russia-Ukraine war? Due to the lack of suitable measures in the literature to cover the phenomenon, first a short inventory for measuring these safety actions, the War-Related Preparatory Safety-Seeking Inventory (W-PRESS) was elaborated and validated via Item Response Theory (IRT). Next, a transdiagnostic cognitive behavioural framework was proposed for the determinants of W-PRESS: intolerance of Uncertainty (IUS-12), fear of war (FOWARS), neuroticism (Big-Five) and anxiety (DASS). The Structural Equation Modelling (SEM) results confirmed the proposed model.
DOI: 10.17632/9bhpg8th44.1
title: Cascading influence of dry and wet extremes leads to higher probability of rice yield loss

description: This is the global rice yield and climate extreme dataset to the following research paper: "Cascading influence of dry and wet extremes leads to higher probability of rice yield loss". It includes the crop calendar dataset, global dataset of historical yield for major rice and secondary rice, and weekly scPDSI based on EAR5 reanalysis.
DOI: 10.17632/9bhpg8th44.2
title: Cascading of dry and wet extremes lead to higher risk of rice yield loss

description: This is the global rice yield and climate extreme dataset to the following research paper: "Cascading influence of dry and wet extremes leads to higher probability of rice yield loss". It includes the crop calendar dataset, global dataset of historical yield for major rice and secondary rice, and weekly scPDSI based on EAR5 reanalysis.
DOI: 10.17632/9bhpg8th44.3
title: Compound dry and wet extremes lead to an increased risk of rice yield loss

description: This is the global rice yield and climate extreme dataset to the following research paper: "Compound dry and wet extremes lead to an increased risk of rice yield loss". It includes the crop calendar dataset, global dataset of historical yield for major rice and secondary rice, and weekly scPDSI based on EAR5, MSWEP, and CPC datasets.
DOI: 10.6084/m9.figshare.24501706
title: Remote guidance of PCI data.xlsx

description: This file embodies the crude data of a study of comparing the safety and effectiveness of remotely-guided PCI versus traditional on-site guidance of PCI. A total of 352 patients were included in this study, with a total of 411 PCI procedures and 446 target lesions.
DOI: 10.17632/n5gtr94h74.1
title: Bangladesh Public Opinion Survey Results 2009 - 2023

description: Dataset created from publicly available opinion surveys about attitudes to domestic political matters in Bangladesh published by Prothom Alo newspaper (2009-2013) and International Republican Institute (2014-2023). We translated Prothom Alo's opinon surveys which were originally published in Bengali.
DOI: 10.6084/m9.figshare.24501709
title: 20231106_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24501709.v1
title: 20231106_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.17632/ngkk8dkz9t.1
title: Slaughter and infection of bovine livers by Fasciola hepatica in Brazil and soil use and cover

description: The database presents the number of cattle slaughtered with livers infected by F. hepatica for each Brazilian municipality over a period of 18 years (2002-2020), based on data from the Federal Inspection System (SIF) of the Ministry of Agriculture, Livestock, and Supply (MAPA). Additionally, data on land cover and land use are provided, considering pasture and forest area classes obtained from Collection 7 of the Mapbiomas Project.
DOI: 10.6084/m9.figshare.23799789
title: Data for Mitochondrial Genome Diversity across the Subphylum Saccharomycotina

description: Underlying data for "Mitochondrial Genome Diversity across the Subphylum Saccharomycotina"
DOI: 10.17632/n4kd8pyx2g.1
title: Motivations Matter: Moral and Health-Related Motives Indirectly Relate to Differential Psychological Health Outcomes Among Vegetarians

description: comparisons of differences between health vegetarians, moral vegetarians, and omnivores; mediation analyses; correlations
DOI: 10.17632/n4kd8pyx2g.2
title: Motivations Matter: Moral and Health-Related Motives Indirectly Relate to Differential Psychological Health Outcomes Among Vegetarians

description: comparisons of differences between health vegetarians, moral vegetarians, and omnivores; mediation analyses; correlations
DOI: 10.17632/pbb3w3f92y.1
title: BdSL47: A Complete Depth-based Bangla Sign Alphabet and Digit Dataset

description: The dataset contains 47000 RGB input images of 47 signs (10 digits, 37 letters) of Bangla Sign Language. The images have been processed via MediaPipe framework, which is designed to detect predefined 21 hand key-points from a sample and provide normalized x & y coordinate values and an estimated depth value. The 3D coordinate values were stored in .csv files (1 file contains information on 100 image samples of the same sign). The dataset contains 470 .csv files in total and 47000 corresponding output images with hand key points being detected.
DOI: 10.17632/pbb3w3f92y.2
title: BdSL47: A Complete Depth-based Bangla Sign Alphabet and Digit Dataset

description: The BdSL47 is the original dataset constructed under the supervision of the Systems and Software Lab (SSL), Department of Computer Science and Engineering (CSE), Islamic University of Technology (IUT) and Department of Computer Science and Engineering (CSE), United International University (UIU), Dhaka, Bangladesh. The ownership of this dataset belongs to the authors and they have administered the dataset collection processes by taking informed consent from the participants/singers of the Bangla sign Alphabets and Digits. The dataset was constructed by collecting Bangla alphabet signs from 10 signers in a controlled setting. We employed varying factors of the users like age, gender, hand shape, and skin color. We have also incorporated different challenges while collecting data like scaling, translation, hand rotation, hand orientation, lighting ambiance, and background. We have collected webcam images of 47 signs (10 Bangla Sign Digits and 37 Bangla Sign Alphabet) and resized them to 640x480. For each of the RGB image samples, we have detected the hand key points via the MediaPipe library. Then we generate CSV files containing x, y, and depth coordinate values of 21 hand key points extracted from these image samples and constitute 21×3, or 63 input features. The dataset contains 47000 RGB input images of 47 signs (10 digits, 37 letters) of Bangla Sign Language. The images have been processed via the MediaPipe framework, which is designed to detect predefined 21 hand key points from a sample and provide normalized x & y coordinate values and an estimated depth value. The 3D coordinate values were stored in .csv files (1 file contains information on 100 image samples of the same sign). The dataset contains 470 .csv files in total and 47000 corresponding output images with hand key points being detected. There are two folders named as “Bangla Sign Language Dataset - Sign Alphabets” and “Bangla Sign Language Dataset - Sign Digits”. Under each folder, user-wise folders are given that contain sign images (input images (raw images in jpg format), output images (keypoint overlaid images in jpg)) and CSV files (normalized 3D coordinates of 21 hand keypoints with corresponding class label). All the files of around 2.7GB are available for direct download using the ‘Download All’ option by going to the DOI: 10.17632/pbb3w3f92y.1. The images and CSV files can be easily read or processed using Python or any other programming language (Python 3.10.3). Please cite our dataset if you have used it in your research following the format, “Mahmud, Hasan (2023), “BdSL47: A Complete Depth-based Bangla Sign Alphabet and Digit Dataset”, Mendeley Data, V1, doi: 10.17632/pbb3w3f92y.1”. The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International license. The link to the code can be found here: https://github.com/SMRayeed/BdSL47-Recognition
DOI: 10.17632/pbb3w3f92y.3
title: BdSL47: A Complete Depth-based Bangla Sign Alphabet and Digit Dataset

description: The BdSL47 is the original dataset constructed under the supervision of the Systems and Software Lab (SSL), Department of Computer Science and Engineering (CSE), Islamic University of Technology (IUT) and Department of Computer Science and Engineering (CSE), United International University (UIU), Dhaka, Bangladesh. The ownership of this dataset belongs to the authors and they have administered the dataset collection processes by taking informed consent from the participants/singers of the Bangla sign Alphabets and Digits. The dataset was constructed by collecting Bangla alphabet signs from 10 signers in a controlled setting. We employed varying factors of the users like age, gender, hand shape, and skin color. We have also incorporated different challenges while collecting data like scaling, translation, hand rotation, hand orientation, lighting ambiance, and background. We have collected webcam images of 47 signs (10 Bangla Sign Digits and 37 Bangla Sign Alphabet) and resized them to 640x480. For each of the RGB image samples, we have detected the hand key points via the MediaPipe library. Then we generate CSV files containing x, y, and depth coordinate values of 21 hand key points extracted from these image samples and constitute 21×3, or 63 input features. The dataset contains 47000 RGB input images of 47 signs (10 digits, 37 letters) of Bangla Sign Language. The images have been processed via the MediaPipe framework, which is designed to detect predefined 21 hand key points from a sample and provide normalized x & y coordinate values and an estimated depth value. The 3D coordinate values were stored in .csv files (1 file contains information on 100 image samples of the same sign). The dataset contains 470 .csv files in total. There are two folders named as “Bangla Sign Language Dataset - Sign Alphabets” and “Bangla Sign Language Dataset - Sign Digits”. Under each folder, user-wise folders are given that contain sign images (input images (raw images in jpg format), and CSV files (normalized 3D coordinates of 21 hand keypoints with corresponding class labels). All the files of around 1.12GB are available for direct download using the ‘Download All’ option by going to the doi: 10.17632/pbb3w3f92y.3. The images and CSV files can be easily read or processed using Python or any other programming language (Python 3.10.3). Please cite our dataset if you have used it in your research following the format, “Rayeed, S M; Tuba, Sidratul Tamzida; Mahmud, Hasan; Mazumder, Mumtahin Habib Ullah; Hossain, Md. Saddam; Hasan, Md. Kamrul (2023), “BdSL47: A Complete Depth-based Bangla Sign Alphabet and Digit Dataset”, Mendeley Data, V3, doi: 10.17632/pbb3w3f92y.3”. The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International license. The link to the code can be found here: https://github.com/SMRayeed/BdSL47-Recognition.
DOI: 10.17632/byj7x9wnb3.1
title: Supplemental Tables for HS and CKD- CW

description: Supplementary Tables 1-4 for "Association of hidradenitis suppurativa with worsening chronic kidney disease " Supplementary Figure 1 for "Association of hidradenitis suppurativa with worsening chronic kidney disease "
DOI: 10.17632/5khbkzc2wm.1
title: Targeted perturbation of signaling-driven condensates. Gui et al. Figure 4 and 4S

description: Targeted perturbation of signaling-driven condensates. Gui et al. Figure 4 and 4S
DOI: 10.17632/49r7mwxvk7.1
title: ACAP_review

description: Differential Outcomes in Aspiration and Community-Acquired Pneumonia: A Systematic Review and Meta-Analysis
DOI: 10.17632/49r7mwxvk7.2
title: ACAP_review

description: Differential Outcomes in Aspiration and Community-Acquired Pneumonia: A Systematic Review and Meta-Analysis
DOI: 10.17632/49r7mwxvk7.3
title: ACAP_review

description: Differential Outcomes in Aspiration and Community-Acquired Pneumonia: A Systematic Review and Meta-Analysis
DOI: 10.34740/kaggle/dsv/6891034
title: 🇵🇭 Globe GCash Google Store App Reviews
DOI: 10.17632/wb925tdjvj.1
title: Targeted perturbation of signaling-driven condensates. Gui et al. Figure 2

description: Targeted perturbation of signaling-driven condensates. Gui et al. Figure 2
DOI: 10.34740/kaggle/dsv/6891191
title: MoviesDatasets
DOI: 10.17632/96pvsrxw6z.1
title: Targeted perturbation of signaling-driven condensates. Gui et al. Figure 3S

description: Targeted perturbation of signaling-driven condensates. Gui et al. Figure 3S
DOI: 10.17632/tmtbzyyj2r.1
title: Targeted perturbation of signaling-driven condensates. Gui et al. Figure 6, 6S, 7 and 7S

description: Targeted perturbation of signaling-driven condensates. Gui et al. Figure 6, 6S, 7 and 7S
DOI: 10.17632/4yz4rdpnj5.1
title: Targeted perturbation of signaling-driven condensates. Gui et al. Figure 5 and 5S

description: Targeted perturbation of signaling-driven condensates. Gui et al. Figure 6, 6S, 7 and 7S
DOI: 10.17632/ygjnpc5xcn.1
title: Detection of moisture content of polyester fabric based on hyperspectral imaging and BP neural network

description: This dataset was used to replicate the paper "Detection of moisture content of polyester fabric based on hyperspectral imaging and BP neural network".The moisture content data not marked red in the DATA file (150 groups in total) can be selected for modeling, and the individual spectra used for analysis have been singled out (the data for the relevant characteristic peaks have already been computed). the four models in the module file are the four models used in the paper.
DOI: 10.17632/dt9f2b3787.1
title: Supplementary Materials

description: Supplementary Table 1-3 for manuscript "Novel protein drug target for acne vulgaris: A Mendelian randomization study".
DOI: 10.6084/m9.figshare.24456244
title: Plastomes of 339 Malvaceae individuals.fas

description: Linearization alignment results of 339 complete plastome sequences composed of 338 newly assembled Malvaceae plastomes (including 336 plastomes of <i>Gossypium</i>,1<i> </i>plastome of <i>Hibiscus syriacus</i> and 1 plastome of <i>Theobroma cacao</i>) and 1 <i>Gossypium hirsutum</i> plastome downloaded from NCBI.
DOI: 10.17632/235gfpz9js.1
title: DeCarbFriends Intervention Data

description: This is data from a network interventions study we conducted in early 2020 in Chile. The intervention targest sustainable food consumption
DOI: 10.17632/rwf44wpgdz.1
title: Research Data

description: Research data of CMC
DOI: 10.17632/5ns4gn8smy.1
title: Program for calculating transmittance of grating smart windows and calculated data

description: A program for calculating transmittance of grating smart windows and calculated data for all possible values and signs of calculated parameters are presented. Design of grating optical filter for smart windows and all equations for calculating its parameters are described in [Zakirullin RS, Odenbakh IA. Simulating annual autoregulation of daylight by grating smart window with angular-selective transmission. J Build Perform Simul. https://doi.org/10.1080/19401493.2023.2256690]. Results of numerical simulations are presented in 8 Microsoft Excel 2019 files named, for example: program+-35+-30.xlsx The first number in the file name means the slope angle of the gratings, the second number means the difference between the azimuths of the Sun and the window A-Aw. Combinations of signs of these angles in the file name mean, in this example: ++ or --. Each Microsoft Excel file contains next columns: Time (this column is empty, for real calculations it is necessary to set the time) h, deg (the elevation of the Sun at set the time) А, deg (the azimuth of the Sun at set the time) A-Aw, deg (the difference between the azimuths of the Sun and the window) , deg (the incidence angle of the solar beam) x, mm (the coordinate of the trace of the point of incidence solar beam onto the input gratings surface, left on the output gratings surface) y, mm (the coordinate of the trace of the point of incidence solar beam onto the input gratings surface, left on the output gratings surface) , deg (the projection of the incidence angle onto the plane orthogonal to the gratings orientation) , mm (the shift between the traces of the input gratings on the output gratings surface at the characteristic and arbitrary incidence angle) cor, mm (the corrected shift) teor#c (the theoretical transmittance of a filter with different strip widths) cor#c (the corrected transmittance of a filter with different strip widths) teor=c (the theoretical transmittance of a filter with equal strip widths) cor=c (the corrected transmittance of a filter with equal strip widths) teor-c (the theoretical transmittance of pure glass) cor-c (the corrected transmittance of pure glass)
DOI: 10.17632/rvkprbdmt9.1
title: Targeted perturbation of signaling-driven condensates. Gui et al. Figure 3

description: Targeted perturbation of signaling-driven condensates. Gui et al. Figure 3
DOI: 10.6084/m9.figshare.24501742
title: kartawik_data.xlsx

description: Fungal communities are intricate components of the natural world, comprising numerous species that interact simultaneously. The complexity of these communities increases proportionally with the emergence of additional taxa and the formation of mutual interactions among species. The composition of fungal communities changes over time and space, driven by the influence of abiotic factors and the pool of potential colonizing species available in the substrate. With shifting climatic conditions and the growing occurrence of extreme weather events, the frequency and magnitude of damages caused by strong winds are on the rise. The objectives of this study are: (I) qualitative and quantitative analysis of fungal community composition inhabiting pine wood (a) one year, three years, and five years after damage; (b) undamaged and damaged pine wood (due to windbreaks and windthrows) resulting from a hurricane (II) analysis of changes in the proportion of trophic groups (pathogens, saprotrophs, endotrophs, mycorrhizal fungi) inhabiting damaged pine wood<br>(a) one year, three years, and five years after damage; (b) undamaged and damaged pine wood (due to windbreaks and windthrows) resulting from a hurricane. An additional objective was to analyze changes in the content of biogenic elements (nitrogen, carbon, hydrogen) in hurricane-damaged pine wood at the initial stages of decomposition. The research area was delineated in a forest stand in the Gniezno Forest District. In each research plot, three trees were selected, varying in the manner of wind-induced damage: undamaged trees, trees without crowns (windbreaks), and trees lying above ground with their root systems intact (windthrows). In November of the years 2018, 2020, and 2022, wood samples were collected in the form of drillings. Commu nity analysis was conducted based on the ITS1 region using Illumina sequencing. Fungal communities at the initial stages of pine wood decomposition exhibited high quantitative and qualitative richness. The most abundant species included <i>Armillaria</i> spp<i>, Coniophora arida, Diplodia </i>spp, <i>Postia </i>spp., <i>Trichoderma </i>spp, <i>Xylodon flaviporus </i>and <i>Xylodon </i>spp. Although the presence of various trophic groups was demonstrated, saprotrophs dominated the fungal communities. Each year, there was an increasing representation of <i>Basidiomycota</i> taxa responsible for brown wood rot.