cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8004165
title: UI design dataset

description: The EGFE dataset is a collection of high-quality UI design prototypes with fragmented layered data. It includes high-fidelity UI screenshots and JSON files containing metadata of the design prototypes. This dataset aims to assist in merging fragmented elemetns within design prototypes, thereby alleviating the burden on developers to understand the designer's intent and aiding automated code generation tools in producing high-quality frontend code. What sets this dataset apart from others is the methodology employed to obtain UI screenshots and the hierarchical structure of views, which involves parsing UI design prototypes created using design tools like Sketch and Figma. It's important to note that a significant portion of the UI design drafts used in this dataset was generously provided by Alibaba Group, and their usage requires consent from Alibaba Group. To facilitate model testing, we have released a partial dataset here, adhering to the terms of the MIT license. If you require access to the complete dataset, please contact the authors of the paper. In this repo, we release a total of 300 samples and pre-trained model checkpoints. It includes the following: xxx-assets.png: image of stacked elements xxx.json: properties of UI elements xxx.png: screenshot of high-fidelity UI design prototypes pre-trained model.7z: It includes model checkpoints, tensorboard logs for visualization, and also a log.txt file.
DOI: 10.5281/zenodo.8022996
title: UI design dataset

description: The EGFE dataset is a collection of high-quality UI design prototypes with fragmented layered data. It includes high-fidelity UI screenshots and JSON files containing metadata of the design prototypes. This dataset aims to assist in merging fragmented elemetns within design prototypes, thereby alleviating the burden on developers to understand the designer's intent and aiding automated code generation tools in producing high-quality frontend code. What sets this dataset apart from others is the methodology employed to obtain UI screenshots and the hierarchical structure of views, which involves parsing UI design prototypes created using design tools like Sketch and Figma. It's important to note that a significant portion of the UI design drafts used in this dataset was generously provided by Alibaba Group, and their usage requires consent from Alibaba Group. To facilitate model testing, we have released a partial dataset here, adhering to the terms of the MIT license. If you require access to the complete dataset, please contact the authors of the paper. In this repo, we release a total of 300 samples and pre-trained model checkpoints. It includes the following: EGFE-dataset.zip xxx-assets.png: image of stacked elements xxx.json: properties of UI elements xxx.png: screenshot of high-fidelity UI design prototypes pre-trained model.7z model checkpoints tensorboard logs for visualization a log.txt file design-prototype.7z two design prototypes for testing data processing
DOI: 10.5281/zenodo.8132008
title: UI design dataset

description: The EGFE dataset is a collection of high-quality UI design prototypes with fragmented layered data. It includes high-fidelity UI screenshots and JSON files containing metadata of the design prototypes. This dataset aims to assist in merging fragmented elements within design prototypes, thereby alleviating the burden on developers to understand the designer's intent and aiding automated code generation tools in producing high-quality frontend code. What sets this dataset apart from others is the methodology employed to obtain UI screenshots and the hierarchical structure of views, which involves parsing UI design prototypes created using design tools like Sketch and Figma. It's important to note that a significant portion of the UI design drafts used in this dataset was generously provided by Alibaba Group, and their usage requires consent from Alibaba Group. To facilitate model testing, we have released a partial dataset here, adhering to the terms of the MIT license. If you require access to the complete dataset, please contact the authors of the paper. In this repo, we release a total of 300 samples and pre-trained model checkpoints. It includes the following: EGFE-dataset.zip xxx-assets.png: image of stacked elements xxx.json: properties of UI elements xxx.png: screenshot of high-fidelity UI design prototypes pre-trained model.7z model checkpoints tensorboard logs for visualization a log.txt file design-prototype.7z two design prototypes for testing data processing baseline model.7z efficient_net: model config, checkpoints, and logs. vit: model config, checkpoints, and logs. swin: model config, checkpoints, and logs. UIED_Classifier: Classifier checkpoints for UIED trained using the EGFE dataset (binary classification, i.e., components to be merged and components not to be merged). UILM: model config, checkpoints, and logs. ULDGNN: model config, checkpoints, and logs.
DOI: 10.17026/dans-zmp-jj2x
title: Tijdsbestedingsonderzoek 2011 - TBO 2011 v2

description: Dit is versie 2 van het TBO 2011. De wijzigingen t.o.v. versie 1 staan beschreven in 'Documentatierapport Dans TBO 2011.pdf' (tabblad Data files).-------------------------------------------------------------------------------------Het tijdsbestedingsonderzoek (TBO) is een onderzoek naar de besteding van het tijdsbudget van de Nederlandse bevolking. De deelnemers van het onderzoek, die door middel van een random-selectie worden bepaald, houden 7 dagen lang in dagboekjes hun activiteiten bij. Het voordeel hiervan is dat het beeld waar mensen hun tijd aan besteden zo waarheidsgetrouw mogelijk is. Juist tijdsbesteding die meestal onopgemerkt blijft, zoals huishouden, sociale contacten, lezen, vrijwilligerswerk of eten en slapen, wordt zichtbaar. Daarnaast zijn de dagboekjes onontbeerlijk voor antwoord op vragen als: wanneer wordt er het meeste gewerkt, waarin verschilt een weekdag van een weekenddag.Dit onderzoek heeft dezelfde onderzoeksopzet als TBO 2006 en is uitgevoerd conform de HETUS-richtlijnen.De data van alle voorgaande Tijdsbestedingsonderzoeken kunnen ook via DANS EASY aangevraagd worden.
DOI: 10.6084/m9.figshare.16989109.v6
title: Data & code

description: Data
DOI: 10.5519/qd.1jnshuul
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.26183/fnmq-ft11
title: Mass spectrometry label-free proteomics on 56MeSS activity in A549 lung cancer cell line

description: Mass spectrometry label-free quantitative protein changes in A549 lung cancer cell lines upon 56MeSS treatment. The data was generated with Synapt G2 Mass Spectrometer (Waters), processed and analyzed on Mass Lynx. The protein identification and quantification was achieved with Progenesis QIP (Non-Linear Dynamics) applying Ion Accounting search engine, and utilizing UniProt database curated  catalogue. The parameters of analysis and identifications as described in Chapter 3 "Method and Materials".
DOI: 10.6084/m9.figshare.23657688
title: Raw data for the paper "<strong>Trends in chronic childhood undernutrition in Bangladesh for small domains</strong>"

description: The proportions of childhood chronic undernutrition for 64X5 cross-classified domains of 64 districts and five children age groups (0-11, 12-23, 24-35, 36-47, & 48-59 months) are estimated from Bangladesh DHS surveys conducted during 1996-97 to 2017-18. Both survey design and sampling weights are considered for calculation.
DOI: 10.6084/m9.figshare.23657688.v1
title: Raw data for the paper "<strong>Trends in chronic childhood undernutrition in Bangladesh for small domains</strong>"

description: The proportions of childhood chronic undernutrition for 64X5 cross-classified domains of 64 districts and five children age groups (0-11, 12-23, 24-35, 36-47, & 48-59 months) are estimated from Bangladesh DHS surveys conducted during 1996-97 to 2017-18. Both survey design and sampling weights are considered for calculation.
DOI: 10.6084/m9.figshare.19304360
title: Raw Data.zip

description: This zip package includes all the raw data involving in the article "Plac8 regulates the fibrogenic ability of cardiac fibroblasts in mice with myocardial infarction" submitted to <em><strong>All Life</strong></em>.
DOI: 10.6084/m9.figshare.19304360.v5
title: Raw Data.zip

description: This zip package includes all the raw data involving in the article "Plac8 regulates the fibrogenic ability of cardiac fibroblasts in mice with myocardial infarction" submitted to <em><strong>All Life</strong></em>.
DOI: 10.6084/m9.figshare.19304360.v4
title: Raw Data.zip

description: This zip package includes all the raw data involving in the article "Plac8 regulates the fibrogenic ability of cardiac fibroblasts in mice with myocardial infarction" submitted to <em><strong>All Life</strong></em>.
DOI: 10.5281/zenodo.4961961
title: Coexpression data in ATTED-II ver 11.0

description: Coexpression data provided in ATTED-II ver 11.0. The coexpression value is provided as a z-score (larger value indicates stronger coexpression).<br> Details of the data can be found on the download page in ATTED-II. https://atted.jp/download/ Ath-m.c9-0 Ath-m.v21-01.G20819-S12686.combat_pca_subagging.ls.d.zip Ath-r.c5-0 Ath-r.v21-01.G18957-S14741.combat_pca_subagging.ls.d.zip Ath-u.c2-0 Ath-u.v21-01.G18957-S27427.combat_pca_subagging.ls.d.zip Bra-r.c4-0 Bra-r.v21-01.G26339-S212.combat_pca_subagging.ls.d.zip Gma-m.c5-0 Gma-m.v21-01.G15746-S1022.combat_pca_subagging.ls.d.zip Gma-r.c5-0 Gma-r.v21-01.G33331-S1082.combat_pca_subagging.ls.d.zip Gma-u.c2-0 Gma-u.v21-01.G33331-S2104.combat_pca_subagging.ls.d.zip Mtr-m.c5-0 Mtr-m.v21-01.G20376-S780.combat_pca_subagging.ls.d.zip Mtr-r.c3-0 Mtr-r.v21-01.G22252-S310.combat_pca_subagging.ls.d.zip Mtr-u.c2-0 Mtr-u.v21-01.G22252-S1090.combat_pca_subagging.ls.d.zip Osa-m.c8-0 Osa-m.v21-01.G19867-S1775.combat_pca_subagging.ls.d.zip Osa-r.c4-0 Osa-r.v21-01.G22698-S778.combat_pca_subagging.ls.d.zip Osa-u.c2-0 Osa-u.v21-01.G22698-S2553.combat_pca_subagging.ls.d.zip Ppo-m.c4-0 Ppo-m.v21-01.G21910-S557.combat_pca_subagging.ls.d.zip Ppo-r.c2-0 Ppo-r.v21-01.G21727-S648.combat_pca_subagging.ls.d.zip Ppo-u.c2-0 Ppo-u.v21-01.G21727-S1205.combat_pca_subagging.ls.d.zip Sly-m.c5-0 Sly-m.v21-01.G5721-S392.combat_pca_subagging.ls.d.zip Sly-r.c4-0 Sly-r.v21-01.G20073-S749.combat_pca_subagging.ls.d.zip Sly-u.c2-0 Sly-u.v21-01.G20073-S1141.combat_pca_subagging.ls.d.zip Vvi-m.c5-0 Vvi-m.v21-01.G9421-S258.combat_pca_subagging.ls.d.zip Vvi-r.c3-0 Vvi-r.v21-01.G17304-S1235.combat_pca_subagging.ls.d.zip Vvi-u.c2-0 Vvi-u.v21-01.G17304-S1493.combat_pca_subagging.ls.d.zip Zma-m.c5-0 Zma-m.v21-01.G10777-S606.combat_pca_subagging.ls.d.zip Zma-r.c4-0 Zma-r.v21-01.G26131-S4411.combat_pca_subagging.ls.d.zip Zma-u.c2-0 Zma-u.v21-01.G26131-S5017.combat_pca_subagging.ls.d.zip
description: {"references": ["Obayashi T, Hibara H, Kagaya Y, Aoki Y, Kinoshita K. (2022) ATTED-II v11: a plant gene coexpression database using a sample balancing technique by subagging of principal components. Plant Cell Physiology, 63: 869-881."]}
DOI: 10.5281/zenodo.4961962
title: Coexpression data in ATTED-II ver 11.0

description: Coexpression data provided in ATTED-II ver 11.0. The coexpression value is provided as a z-score (larger value indicates stronger coexpression).<br> Details of the data can be found on the download page in ATTED-II. https://atted.jp/download/ Ath-m.c9-0 Ath-m.v21-01.G20819-S12686.combat_pca_subagging.ls.d.zip Ath-r.c5-0 Ath-r.v21-01.G18957-S14741.combat_pca_subagging.ls.d.zip Ath-u.c2-0 Ath-u.v21-01.G18957-S27427.combat_pca_subagging.ls.d.zip Bra-r.c4-0 Bra-r.v21-01.G26339-S212.combat_pca_subagging.ls.d.zip Gma-m.c5-0 Gma-m.v21-01.G15746-S1022.combat_pca_subagging.ls.d.zip Gma-r.c5-0 Gma-r.v21-01.G33331-S1082.combat_pca_subagging.ls.d.zip Gma-u.c2-0 Gma-u.v21-01.G33331-S2104.combat_pca_subagging.ls.d.zip Mtr-m.c5-0 Mtr-m.v21-01.G20376-S780.combat_pca_subagging.ls.d.zip Mtr-r.c3-0 Mtr-r.v21-01.G22252-S310.combat_pca_subagging.ls.d.zip Mtr-u.c2-0 Mtr-u.v21-01.G22252-S1090.combat_pca_subagging.ls.d.zip Osa-m.c8-0 Osa-m.v21-01.G19867-S1775.combat_pca_subagging.ls.d.zip Osa-r.c4-0 Osa-r.v21-01.G22698-S778.combat_pca_subagging.ls.d.zip Osa-u.c2-0 Osa-u.v21-01.G22698-S2553.combat_pca_subagging.ls.d.zip Ppo-m.c4-0 Ppo-m.v21-01.G21910-S557.combat_pca_subagging.ls.d.zip Ppo-r.c2-0 Ppo-r.v21-01.G21727-S648.combat_pca_subagging.ls.d.zip Ppo-u.c2-0 Ppo-u.v21-01.G21727-S1205.combat_pca_subagging.ls.d.zip Sly-m.c5-0 Sly-m.v21-01.G5721-S392.combat_pca_subagging.ls.d.zip Sly-r.c4-0 Sly-r.v21-01.G20073-S749.combat_pca_subagging.ls.d.zip Sly-u.c2-0 Sly-u.v21-01.G20073-S1141.combat_pca_subagging.ls.d.zip Vvi-m.c5-0 Vvi-m.v21-01.G9421-S258.combat_pca_subagging.ls.d.zip Vvi-r.c3-0 Vvi-r.v21-01.G17304-S1235.combat_pca_subagging.ls.d.zip Vvi-u.c2-0 Vvi-u.v21-01.G17304-S1493.combat_pca_subagging.ls.d.zip Zma-m.c5-0 Zma-m.v21-01.G10777-S606.combat_pca_subagging.ls.d.zip Zma-r.c4-0 Zma-r.v21-01.G26131-S4411.combat_pca_subagging.ls.d.zip Zma-u.c2-0 Zma-u.v21-01.G26131-S5017.combat_pca_subagging.ls.d.zip
description: {"references": ["Obayashi T, Hibara H, Kagaya Y, Aoki Y, Kinoshita K. (2022) ATTED-II v11: a plant gene coexpression database using a sample balancing technique by subagging of principal components. Plant Cell Physiology, 63: 869-881."]}
DOI: 10.25919/d3v9-mf97
title: Parkes observations for project P1178 semester 2023APRS_01

description: We are actively developing a new version of the ATNF pulsar catalogue. In the paper describing the new catalogue we wish to take the opportunity to publish important pulsar parameters that have, to-date, not been published. The fundamental property of a pulsar is its pulse period and yet we have identified a large number of pulsars that do not having a measured spin-down rate and hence we do not know their evolutionary state, nor have good positions or knowledge of whether they are in a binary system. We have therefore selected 53 pulsars with the goal of measuring their spin-down rates. During this project we will also develop an automated pulsar-fold-mode online processing pipeline that includes online RFI mitigation. This pipeline will be made available as an ATNF service for other users.
DOI: 10.6084/m9.figshare.23659122
title: <strong>HDLNET: A Hybrid Deep Learning Network Model with Intelligent IOT for Detection and Classification of Chronic Kidney Disease</strong>

description: The proposed approach competes with and even exceeds existing approaches in the literature while executing in a minimum amount of time with beneficial accuracy when classifying. The clustering approach will be used in further research studies to improve the effectiveness of categorization and reduce instances of incorrect categorization.
DOI: 10.5517/ccdc.csd.cc2gk7ny
title: CCDC 2280690: Experimental Crystal Structure Determination

description: Related Article: MengJie Yang|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7808016
title: Dataset related to article "The Complementary Role of PSMA Expression and [18F]FDG PET/CT in Predicting Thyroid Cancer Outcome - from Black and White to Shades of Gray, in the Era of Precision Oncology"

description: This record contains data related to article "<strong>The Complementary Role of PSMA Expression and [<sup>18</sup>F]FDG PET/CT in Predicting Thyroid Cancer Outcome - from Black and White to Shades of Gray, in the Era of Precision Oncology</strong>" Abstract<br> Background The value of Prostate Specific Membrane Antigen (PSMA) in thyroid carcinoma (TC) is still unknown. We<br> aimed to test the potential complementary role of PSMA expression and 2-[18F]fluoro-2-deoxy-D-glucose ([<br> 18F]FDG)<br> uptake on PET/CT as biomarkers for TC outcome prediction.<br> Materials and methods From a retrospective cohort of TC patients we selected those fulfilling the following inclusion/<br> exclusion criteria: thyroidectomy in our Institution, available primary tumor tissue PSMA immunostaining, [<br> 18F]<br> FDG PET/CT and follow-up data. PSMA staining was visually assessed. PET/CT was considered positive in case of [<br> 18F]<br> FDG uptake higher than the background at the site of TC confirmed by cyto-/histology, and/or follow-up. Disease<br> recurrence, radioiodine refractoriness (RAI-R) and status at last follow-up (LFU) were used as outcome endpoints.<br> Results We included 23 subjects. Disease recurrence occurred in 18 patients (median time 11 months, range 1–40);<br> among these 12/18 developed RAI-R (median time 28 months, range 2–221), and 13/18 had evidence of disease at<br> LFU. PSMA expression was negative in 6/23 cases. PET/CT was negative in 11/23 patients (7/11 experienced recurrence).<br> PET/CT was positive in 9/12 patients showing RAI-R and 10/13 cases with evidence of disease at LFU. All<br> patients with positive PET/CT had a positive PSMA immunostaining. Six out of 11 patients with negative PET/CT were<br> positive at immunostaining, showing lower PSMA expression (median score of 30%, range 0–80%) than patients with<br> positive PET/CT. The TC samples without PSMA expression belonged to patients who resulted negative also at PET/CT<br> (3 experienced recurrence, 2 were RAI-R, and 1 had disease at LFU). Four out of 11 patients who resulted negative at<br> PET/CT exhibited very high PSMA expression (≥ 70%) and although 3 of them experienced recurrence, none resulted<br> RAI-R, and only 1 had persistent disease at LFU.<br> Conclusions Primary tumor PSMA expression and [<br> 18F]FDG uptake seem to play a complementary prognostic role in<br> TC. The majority of patients who expressed PSMA recurred. In the intermediate ATA risk class, patients with negative<br> PSMA immunostaining recurred less than patients expressing PSMA. Additionally, although patients with a negative
DOI: 10.5281/zenodo.7808015
title: Dataset related to article "The Complementary Role of PSMA Expression and [18F]FDG PET/CT in Predicting Thyroid Cancer Outcome - from Black and White to Shades of Gray, in the Era of Precision Oncology"

description: This record contains data related to article "<strong>The Complementary Role of PSMA Expression and [<sup>18</sup>F]FDG PET/CT in Predicting Thyroid Cancer Outcome - from Black and White to Shades of Gray, in the Era of Precision Oncology</strong>" Abstract<br> Background The value of Prostate Specific Membrane Antigen (PSMA) in thyroid carcinoma (TC) is still unknown. We<br> aimed to test the potential complementary role of PSMA expression and 2-[18F]fluoro-2-deoxy-D-glucose ([<br> 18F]FDG)<br> uptake on PET/CT as biomarkers for TC outcome prediction.<br> Materials and methods From a retrospective cohort of TC patients we selected those fulfilling the following inclusion/<br> exclusion criteria: thyroidectomy in our Institution, available primary tumor tissue PSMA immunostaining, [<br> 18F]<br> FDG PET/CT and follow-up data. PSMA staining was visually assessed. PET/CT was considered positive in case of [<br> 18F]<br> FDG uptake higher than the background at the site of TC confirmed by cyto-/histology, and/or follow-up. Disease<br> recurrence, radioiodine refractoriness (RAI-R) and status at last follow-up (LFU) were used as outcome endpoints.<br> Results We included 23 subjects. Disease recurrence occurred in 18 patients (median time 11 months, range 1–40);<br> among these 12/18 developed RAI-R (median time 28 months, range 2–221), and 13/18 had evidence of disease at<br> LFU. PSMA expression was negative in 6/23 cases. PET/CT was negative in 11/23 patients (7/11 experienced recurrence).<br> PET/CT was positive in 9/12 patients showing RAI-R and 10/13 cases with evidence of disease at LFU. All<br> patients with positive PET/CT had a positive PSMA immunostaining. Six out of 11 patients with negative PET/CT were<br> positive at immunostaining, showing lower PSMA expression (median score of 30%, range 0–80%) than patients with<br> positive PET/CT. The TC samples without PSMA expression belonged to patients who resulted negative also at PET/CT<br> (3 experienced recurrence, 2 were RAI-R, and 1 had disease at LFU). Four out of 11 patients who resulted negative at<br> PET/CT exhibited very high PSMA expression (≥ 70%) and although 3 of them experienced recurrence, none resulted<br> RAI-R, and only 1 had persistent disease at LFU.<br> Conclusions Primary tumor PSMA expression and [<br> 18F]FDG uptake seem to play a complementary prognostic role in<br> TC. The majority of patients who expressed PSMA recurred. In the intermediate ATA risk class, patients with negative<br> PSMA immunostaining recurred less than patients expressing PSMA. Additionally, although patients with a negative
DOI: 10.6084/m9.figshare.23653296
title: models.zip

description: Pre-trained models from the paper: Thomas, A., Ré, C., & Poldrack, R. (2022). Self-supervised learning of brain dynamics from broad neuroimaging data. Advances in Neural Information Processing Systems, 35, 21255-21269.
DOI: 10.6084/m9.figshare.23659155
title: Supplementary Material for: A Tunable Calcium Phosphate Coating to Drive in vivo Osseointegration of Composite Engineered Tissues

description: Varying degrees of hydroxyapatite (HA) surface functionalization have been implicated as the primary driver of differential osteogenesis observed in infiltrating cells. The ability to reliably create spatially controlled areas of mineralization in composite engineered tissues is of growing interest in the field, and the use of HA-functionalized biomaterials may provide a robust solution to this challenge. In this study, we successfully fabricated polycaprolactone salt-leached scaffolds with two levels of a biomimetic calcium phosphate coating to examine their effects on MSC osteogenesis. Longer duration coating in simulated body fluid (SBF) led to increased HA crystal nucleation within scaffold interiors as well as more robust HA crystal formation on scaffold surfaces. Ultimately, the increased surface stiffness of scaffolds coated in SBF for 7 days in comparison to scaffolds coated in SBF for 1 day led to more robust osteogenesis of MSCs in vitro without the assistance of osteogenic signaling molecules. This study also demonstrated that the use of SBF-based HA coatings can promote higher levels of osteogenesis in vivo. Finally, when incorporated as the endplate region of a larger tissue-engineered intervertebral disc replacement, HA coating did not induce mineralization in or promote cell migration out of neighboring biomaterials. Overall, these results verified tunable biomimetic HA coatings as a promising biomaterial modification to promote discrete regions of mineralization within composite engineered tissues.