cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/tu.the.2019.905
title: ความสัมพันธ์ระหว่างสัดส่วนเพศของคณะผู้บริหารและผลการดำเนินงานของบริษัท

description: การค้นคว้าอิสระมีจุดประสงค์เพื่อศึกษาถึงความสัมพันธ์ระหว่างสัดส่วนเพศของคณะผู้บริหารและผลการดำเนินงานของบริษัทจดทะเบียนในตลาดหลักทรัพย์แห่งประเทศไทยในกลุ่ม SET100 ระหว่างปี 2559 – 2561 รวมทั้งสิ้น 227 กลุ่มตัวอย่าง โดยข้อมูลที่ใช้ศึกษามาจากงบการเงิน แบบแสดงรายการข้อมูลประจำปี (แบบ 56-1) รายงานประจำปีของบริษัท รวมถึงข้อมูลจากฐานข้อมูลออนไลน์ของสำนักงานคณะกรรมการกำกับหลักทรัพย์และตลาดหลักทรัพย์ (www.sec.or.th) และฐานข้อมูลออนไลน์ของตลาดหลักทรัพย์แห่งประเทศไทย (www.set.or.th) โดยใช้การวิเคราะห์สถิติเชิงพรรณนาและสถิติเชิงอนุมานในการวิเคราะห์ข้อมูลจากการศึกษาพบว่า เพศของคณะผู้บริหารและสัดส่วนเพศของคณะผู้บริหารไม่มีความสัมพันธ์กับผลการดำเนินงานของบริษัท ทั้งด้านการบัญชีโดยตัวชี้วัดคือ อัตราผลตอบแทนต่อสินทรัพย์ (ROA) และด้านการตลาดโดยตัวชี้วัดคือ มูลค่ากิจการ (Tobin’s Q) โดยอาจมีสาเหตุมาจากการที่กลุ่มตัวอย่างมีผู้บริหารเพศหญิงอย่างน้อย 1 คนในคณะผู้บริหารเป็นปกติ จึงไม่ส่งผลกระทบอย่างมีนัยสำคัญต่อผลการดำเนินงาน แต่ในทางกลับกัน กลุ่มตัวอย่างที่มีจำนวนผู้บริหารเพศหญิงในคณะผู้บริหารอย่างน้อยร้อยละ 30 มีจำนวนน้อยจนอาจทำให้ไม่สามารถสร้างผลกระทบอย่างมีนัยสำคัญต่อผลการดำเนินงานได้
DOI: 10.21258/1757931
title: Swiss national forest inventory - Result table No. 897927
DOI: 10.5281/zenodo.4392222
title: DADA2 formatted taxonomy from GTDBr95

description: DADA2 requires taxonomy files in a specific format. This datasets are the files required to assign taxonomy using Genome Taxonomy Database (GTDB) database. GTDB release 95.0 is the latest version of database released on July 17th, 2020. GTDB-r95 contains 30,238 bacterial and 1,672 archaeal species clusters which span 194,600 genomes. FASTA file of 16S rRNA gene sequences identified within the representative genomes of bacteria (21965) and Archaea (1126) were downloaded from this link on 24-12-2020. The link provides resources for GTDB species representatives hence, limiting one sequence per organism. The sequence headers were modified according to DADA2 requirements using regular expression based replace in Notepad++ (I was too lazy to do the same through awk/sed). Files GTDBr95-Genus.fna and GTDBr95-Species.fna are to be used with assignTaxonomy and addSpecies commands of DADA2, respectively. Prepared files were checked and found compatible when run on DADA2 v1.14.0 (R v3.6.3).
description: {"references": ["Parks, D.H., et al. (2020). \"A complete domain-to-species taxonomy for Bacteria and Archaea.\" Nature Biotechnology, https://doi.org/10.1038/s41587-020-0501-8.", "Callahan, B.J. et al. (2016). \"DADA2: High-resolution sample inference from Illumina amplicon data.\" Nature Methods, https://doi.org/10.1038/nmeth.3869."]}
DOI: 10.5281/zenodo.4392221
title: DADA2 formatted taxonomy from GTDBr95

description: DADA2 requires taxonomy files in a specific format. This datasets are the files required to assign taxonomy using Genome Taxonomy Database (GTDB) database. GTDB release 95.0 is the latest version of database released on July 17th, 2020. GTDB-r95 contains 30,238 bacterial and 1,672 archaeal species clusters which span 194,600 genomes. FASTA file of 16S rRNA gene sequences identified within the representative genomes of bacteria (21965) and Archaea (1126) were downloaded from this link on 24-12-2020. The link provides resources for GTDB species representatives hence, limiting one sequence per organism. The sequence headers were modified according to DADA2 requirements using regular expression based replace in Notepad++ (I was too lazy to do the same through awk/sed). Files GTDBr95-Genus.fna and GTDBr95-Species.fna are to be used with assignTaxonomy and addSpecies commands of DADA2, respectively. Prepared files were checked and found compatible when run on DADA2 v1.14.0 (R v3.6.3).
description: {"references": ["Parks, D.H., et al. (2020). \"A complete domain-to-species taxonomy for Bacteria and Archaea.\" Nature Biotechnology, https://doi.org/10.1038/s41587-020-0501-8.", "Callahan, B.J. et al. (2016). \"DADA2: High-resolution sample inference from Illumina amplicon data.\" Nature Methods, https://doi.org/10.1038/nmeth.3869."]}
DOI: 10.6084/m9.figshare.13487421.v1
title: Supplementary table.docx

description: Summary of variables associated with anxiety and depression
DOI: 10.21258/1752881
title: Swiss national forest inventory - Result table No. 899401
DOI: 10.17632/b4gm3988fn.1
title: Data for: An efficient stimulated reservoir area (SRA) estimation method based on octree decomposition of microseismic events

description: These files contain mainly three parts related to the paper. The first part is octree decomposition program, which is composed of codes of core algorithm and other helper functions. The second part is data about fracture simulation and algorithm verification, which consist of matlab codes of Monte Carlo fracture network simulation, relation error analysis and error reduction method. The third part is data about application of an engineering example, which involves the well trace data, microseismic events data, production data, matlab codes of SRA and SRV calculation.
DOI: 10.21258/1723685
title: Swiss national forest inventory - Result table No. 896976
DOI: 10.21258/1761429
title: Swiss national forest inventory - Result table No. 891861
DOI: 10.21258/1745338
title: Swiss national forest inventory - Result table No. 892924
DOI: 10.21258/1768568
title: Swiss national forest inventory - Result table No. 892959
DOI: 10.21258/1724309
title: Swiss national forest inventory - Result table No. 899321
DOI: 10.17632/xp28tb83gb.1
title: Data for: Influences of different internal textures in dolostones on development of fractures: A case of the Mesoproterozoic Wumishan Formation in Jizhong Depression, Bohai Bay Basin, North China
DOI: 10.6084/m9.figshare.13487433
title: S1 Table

description: Results obtained from all samples
DOI: 10.6084/m9.figshare.13487433.v1
title: S1 Table

description: Results obtained from all samples
DOI: 10.21227/jrrb-c852
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains IDs and sentiment scores of the geo-tagged tweets related to the COVID-19 pandemic. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for coronavirus-related tweets using 90+ different keywords and hashtags that are commonly used while referencing the pandemic. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location.The paper associated with this dataset is available here: Design and analysis of a large-scale COVID-19 tweets dataset-------------------------------------Related datasets: (a) Coronavirus (COVID-19) Tweets Sentiment Trend (Global)(b) Tweets Originating from India During COVID-19 Lockdowns-------------------------------------Below is the quick overview of this dataset.— Dataset name: GeoCOV19Tweets Dataset— Number of tweets : 285,661 tweets— Coverage : Global— Language : English (EN)— Dataset usage terms : By using this dataset, you agree to (i) use the content of this dataset and the data generated from the content of this dataset for non-commercial research only, (ii) remain in compliance with Twitter's Developer Policy and (iii) cite the following paper:Lamsal, R. Design and analysis of a large-scale COVID-19 tweets dataset. Applied Intelligence (2020). https://doi.org/10.1007/s10489-020-02029-z— Primary dataset : Coronavirus (COVID-19) Tweets Dataset (COV19Tweets Dataset)— Dataset updates : Everyday— Active keywords and hashtags: keywords.tsvPlease visit this page (primary dataset) for details regarding the collection date and time (and other notes) of each CSV file present in this dataset.
DOI: 10.21258/1763269
title: Swiss national forest inventory - Result table No. 891845
DOI: 10.5281/zenodo.4384539
title: Supporting Information of the article "mesenchymal stem cell-derived exosomes protect trabecular meshwork from oxidative stress"

description: Supporting Information of the article "mesenchymal stem cell-derived exosomes protect trabecular meshwork from oxidative stress".
DOI: 10.5281/zenodo.4384538
title: Supporting Information of the article "mesenchymal stem cell-derived exosomes protect trabecular meshwork from oxidative stress"

description: Supporting Information of the article "mesenchymal stem cell-derived exosomes protect trabecular meshwork from oxidative stress".
DOI: 10.21258/1766902
title: Swiss national forest inventory - Result table No. 898201
DOI: 10.21258/1749252
title: Swiss national forest inventory - Result table No. 902049
DOI: 10.21258/1744246
title: Swiss national forest inventory - Result table No. 897394
DOI: 10.21258/1731715
title: Swiss national forest inventory - Result table No. 898348
DOI: 10.21258/1729589
title: Swiss national forest inventory - Result table No. 897557
DOI: 10.21258/1732748
title: Swiss national forest inventory - Result table No. 902045
DOI: 10.21258/1749993
title: Swiss national forest inventory - Result table No. 897505
DOI: 10.21258/1733587
title: Swiss national forest inventory - Result table No. 898719
DOI: 10.21258/1739978
title: Swiss national forest inventory - Result table No. 899164
DOI: 10.5525/gla.researchdata.1044
title: Wolbachia strain wAlbB maintains high density and dengue inhibition following introduction into a field population of Aedes aegypti
DOI: 10.21258/1737354
title: Swiss national forest inventory - Result table No. 898918
DOI: 10.17632/ym7bny2t7x.1
title: Data for: European monetary integration, TFP and productivity convergence

description: This data set provides data for TFP, Productivity gap and its predictors which are: human capital, patents per million of population, economic freedom of the world index, share of agriculture in GDP and investment share in GDP. All sources of these variables are mentioned in the body of the paper.
DOI: 10.17632/3hb2s38rzd.1
title: Data for: European monetary integration, TFP and productivity convergence

description: This data set provides data for TFP, Productivity gap and its predictors which are: human capital, patents per million of population, economic freedom of the world index, share of agriculture in GDP and investment share in GDP. All sources of these variables are mentioned in the body of the paper.
DOI: 10.21258/1754650
title: Swiss national forest inventory - Result table No. 897489
DOI: 10.21258/1750268
title: Swiss national forest inventory - Result table No. 899094
DOI: 10.5281/zenodo.4392295
title: Risk calculator for prediction of treatment‐related urethroplasty failure in patients with penile urethral strictures

description: This record contains data related to the paper: Risk calculator for prediction of treatment‐related urethroplasty failure in patients with penile urethral strictures.Purpose: To design a dedicated risk calculator for patients with penile urethra stricture who are scheduled to urethroplasty that might be used to counsel patients according to their pre-operative risk of failure. Methods: Patients treated with penile urethroplasty at our center (1994–2018) were included in the study. Patients received 1-stage or staged penile urethroplasty. Patients with failed hypospadias repair, lichen sclerosus or incomplete clinical records were excluded. Treatment failure was defined as any required postoperative instrumentation, including dilation. Univariable Cox regression identified predictors of post-operative treatment failure and Kaplan–Meier analysis plotted the failure-free survival rates according to such predictors. Multivariable Cox regression-based risk calculator was generated to predict the risk of treatment failure at 10 years after surgery. Results: 261 patients met the inclusion criteria. Median follow-up was 113 months. Out of 216 patients, 201 (77%) were classified as success and 60 (23%) failures. Former smoker (hazard ratio [HR] 2.12, p = 0.025), instrumentation-derived stricture (HR 2.55, p = 0.006), and use of grafts (HR 1.83, p = 0.037) were predictors of treatment failure. Model-derived probabilities showed that the 10-year risk of treatment failure varied from 5.8 to 41.1% according to patient’s characteristics. Conclusions: Long-term prognosis in patients who underwent penile urethroplasty is uncertain. To date, our risk-calculator represents the first tool that might help physicians to predict the risk of treatment failure at 10 years. According to our model, such risk is largely influenced by the etiology of the stricture, the use of graft, and patient’s smoking habits.
description: -
DOI: 10.21258/1757463
title: Swiss national forest inventory - Result table No. 891809
DOI: 10.6084/m9.figshare.13487448
title: Untitled Item

description: dataset
DOI: 10.6084/m9.figshare.13487448.v1
title: Untitled Item

description: dataset
DOI: 10.21258/1737674
title: Swiss national forest inventory - Result table No. 898861
DOI: 10.21258/1728445
title: Swiss national forest inventory - Result table No. 899178
DOI: 10.21258/1723851
title: Swiss national forest inventory - Result table No. 892891
DOI: 10.21258/1768819
title: Swiss national forest inventory - Result table No. 899362
DOI: 10.21258/1735300
title: Swiss national forest inventory - Result table No. 898152
DOI: 10.21258/1752527
title: Swiss national forest inventory - Result table No. 891957
DOI: 10.21258/1734194
title: Swiss national forest inventory - Result table No. 893068
DOI: 10.21258/1759376
title: Swiss national forest inventory - Result table No. 896989
DOI: 10.21258/1732464
title: Swiss national forest inventory - Result table No. 892057
DOI: 10.5281/zenodo.4057303
title: Averaged Spectra - Collagen fingerprinting traces the introduction of caprines to island eastern Africa

description: Averaged ZooMS spectra for publication on tracing the spread of caprines in island eastern Africa. Spectra also smoothed and baseline corrected.
DOI: 10.5281/zenodo.4057302
title: Averaged Spectra - Collagen fingerprinting traces the introduction of caprines to island eastern Africa

description: Averaged ZooMS spectra for publication on tracing the spread of caprines in island eastern Africa. Spectra also smoothed and baseline corrected.
DOI: 10.21258/1759298
title: Swiss national forest inventory - Result table No. 897174
DOI: 10.5291/ill-data.test-2843
title: Tests of the multi-analyser system IN12-UFO
DOI: 10.21258/1725138
title: Swiss national forest inventory - Result table No. 892840
DOI: 10.21258/1729054
title: Swiss national forest inventory - Result table No. 898054
DOI: 10.21258/1752681
title: Swiss national forest inventory - Result table No. 891814
DOI: 10.21258/1737163
title: Swiss national forest inventory - Result table No. 899490
DOI: 10.21258/1760851
title: Swiss national forest inventory - Result table No. 891776
DOI: 10.21258/1736337
title: Swiss national forest inventory - Result table No. 897613
DOI: 10.21258/1764903
title: Swiss national forest inventory - Result table No. 891782
DOI: 10.21258/1732636
title: Swiss national forest inventory - Result table No. 899544
DOI: 10.5517/ccdc.csd.cc1z2d4l
title: CCDC 1819549: Experimental Crystal Structure Determination

description: Related Article: Song Jie Ji, Wen Ma, Xin Shu Li, Jun Dan An, Hui Min Zhang, Yong Li, Gui Xiang Du, Ling Fei, Jed D. Lacoste, Jun Jie Liu, Xiang Xia Wu, Yuan Yuan Liu, Zhi Qiang Yu, Bin Ding|2019|Dyes Pigm.|167|51|doi:10.1016/j.dyepig.2019.04.008
description: Related Article: Yong Li, Jun-Dan An, Tian-Tian Wang, Yang-Fan Shi, Jian-Zhong Huo, Xiang-Xia Wu, Yuan-Yuan Liu, Bin Ding|2020|Dyes Pigm.|186|109039|doi:10.1016/j.dyepig.2020.109039
DOI: 10.5517/ccdc.csd.cc24klcp
title: CCDC 1983112: Experimental Crystal Structure Determination

description: Related Article: V.F. Traven, D.A. Cheptsov, J.I. Svetlova, I.V. Ivanov, Cristián Cuerva, Carlos Lodeiro, Frederico Duarte, S.F. Dunaev, V.V. Chernyshev|2020|Dyes Pigm.|186|108942|doi:10.1016/j.dyepig.2020.108942
DOI: 10.5517/ccdc.csd.cc24kldq
title: CCDC 1983113: Experimental Crystal Structure Determination

description: Related Article: V.F. Traven, D.A. Cheptsov, J.I. Svetlova, I.V. Ivanov, Cristián Cuerva, Carlos Lodeiro, Frederico Duarte, S.F. Dunaev, V.V. Chernyshev|2020|Dyes Pigm.|186|108942|doi:10.1016/j.dyepig.2020.108942
DOI: 10.5517/ccdc.csd.cc25ksk3
title: CCDC 2013095: Experimental Crystal Structure Determination

description: Related Article: Zhipeng Liu, Zhiyong Jiang, Chao Xu, Bai Chen, Guiying Zhu|2020|Dyes Pigm.|186|108990|doi:10.1016/j.dyepig.2020.108990
DOI: 10.5517/ccdc.csd.cc25r9t2
title: CCDC 2018404: Experimental Crystal Structure Determination

description: Related Article: Yen Hoang Pham, Viktor A. Trush, Maria Korabik, Volodymyr M. Amirkhanov, Paula Gawryszewska|2020|Dyes Pigm.|186|108986|doi:10.1016/j.dyepig.2020.108986
DOI: 10.5517/ccdc.csd.cc25r9v3
title: CCDC 2018405: Experimental Crystal Structure Determination

description: Related Article: Yen Hoang Pham, Viktor A. Trush, Maria Korabik, Volodymyr M. Amirkhanov, Paula Gawryszewska|2020|Dyes Pigm.|186|108986|doi:10.1016/j.dyepig.2020.108986
DOI: 10.5517/ccdc.csd.cc25r9w4
title: CCDC 2018406: Experimental Crystal Structure Determination

description: Related Article: Yen Hoang Pham, Viktor A. Trush, Maria Korabik, Volodymyr M. Amirkhanov, Paula Gawryszewska|2020|Dyes Pigm.|186|108986|doi:10.1016/j.dyepig.2020.108986
DOI: 10.5517/ccdc.csd.cc25rb6h
title: CCDC 2018416: Experimental Crystal Structure Determination

description: Related Article: Yen Hoang Pham, Viktor A. Trush, Maria Korabik, Volodymyr M. Amirkhanov, Paula Gawryszewska|2020|Dyes Pigm.|186|108986|doi:10.1016/j.dyepig.2020.108986
DOI: 10.5517/ccdc.csd.cc25vq0s
title: CCDC 2021665: Experimental Crystal Structure Determination

description: Related Article: Xiaoqing Wang, Fen Qi, Zhiyong Jiang, Ming Yan, Li Xu|2020|Dyes Pigm.|186|108999|doi:10.1016/j.dyepig.2020.108999
DOI: 10.5517/ccdc.csd.cc25vq1t
title: CCDC 2021666: Experimental Crystal Structure Determination

description: Related Article: Xiaoqing Wang, Fen Qi, Zhiyong Jiang, Ming Yan, Li Xu|2020|Dyes Pigm.|186|108999|doi:10.1016/j.dyepig.2020.108999
DOI: 10.5517/ccdc.csd.cc25vq2v
title: CCDC 2021667: Experimental Crystal Structure Determination

description: Related Article: Xiaoqing Wang, Fen Qi, Zhiyong Jiang, Ming Yan, Li Xu|2020|Dyes Pigm.|186|108999|doi:10.1016/j.dyepig.2020.108999
DOI: 10.21258/1742338
title: Swiss national forest inventory - Result table No. 897585
DOI: 10.6084/m9.figshare.9768101
title: Datasets, matrices and supplementary figure for QMaker

description: Pfam_datasets.zip: Pfam training and test sets which were used with QMaker.<br>05_clades.zip: Training and test sets of five clades which were used with QMaker.<br><br>Matrices-normalized.zip: Eight output matrices for LG, Pfam, Pfam-gb, Bird, Insect, Mammal, Plant, and Yeast datasets.<br>Fig_A1.tiff: The performance of four matrices Q.pfam, JTT, LG, WAG on Pfam, Bird, Plant, Insect, Yeast, and Mammal datasets.<br>Fig_A2.tiff: The bubble plot show relative differences between amino acid exchangeability rates in Q.pfam and Q.yeast. The explanations as similar as in Figure 4.<br>Table S1 (Correlations).docx: Correlation values (1000x) between six new matrices and 20 existing matrices, upper half are correlations of frequencies, lower half are correlations of exchangeabilities.<br>sample_training_10alignments.zip, sample_training_10genes.zip: two small datasets and training scripts, one has 10 alignments (these alignments do not share species and are extracted from Pfam dataset, shoulf be trained with option -S), the other has 10 genes of a same species (extracting from Plant dataset, training with option -p). Each dataset will need ~30 mins training time on a 10-core machine.
DOI: 10.6084/m9.figshare.9768101.v11
title: Datasets, matrices and supplementary figure for QMaker

description: Pfam_datasets.zip: Pfam training and test sets which were used with QMaker.<br>Matrices-normalized.zip: Eight output matrices for LG, Pfam, Pfam-gb, Bird, Insect, Mammal, Plant, and Yeast datasets.<br>Figure S1_new.pdf: The performance of five matrices, i.e., Q.pfam, JTT, LG, WAG on five clade-specific datasets, i.e., Bird, Plant, Insect, Yeast Mammal.<br>Table S1 (Correlations).docx: Correlation values (1000x) between six new matrices and 20 existing matrices, upper half are correlations of frequencies, lower half are correlations of exchangeabilities.<br>sample_training_10alignments.zip, sample_training_10genes.zip: two small datasets and training scripts, one has 10 alignments (these alignments do not share species and are extracted from Pfam dataset, shoulf be trained with option -S), the other has 10 genes of a same species (extracting from Plant dataset, training with option -p). Each dataset will need ~30 mins training time on a 10-core machine.
DOI: 10.21258/1732440
title: Swiss national forest inventory - Result table No. 897459
DOI: 10.21258/1765557
title: Swiss national forest inventory - Result table No. 891943
DOI: 10.21258/1767578
title: Swiss national forest inventory - Result table No. 898375
DOI: 10.5281/zenodo.4386991
title: Occupancy Test

description: Street-view images of buildings labeled as single-family / multi-family buildings.
DOI: 10.5281/zenodo.4386990
title: Occupancy Test

description: Street-view images of buildings labeled as single-family / multi-family buildings.
DOI: 10.21258/1744397
title: Swiss national forest inventory - Result table No. 898882
DOI: 10.21258/1727662
title: Swiss national forest inventory - Result table No. 897486
DOI: 10.21258/1737088
title: Swiss national forest inventory - Result table No. 891964
DOI: 10.21258/1736222
title: Swiss national forest inventory - Result table No. 899597
DOI: 10.21258/1730823
title: Swiss national forest inventory - Result table No. 898571
DOI: 10.21258/1747842
title: Swiss national forest inventory - Result table No. 899521
DOI: 10.21258/1731483
title: Swiss national forest inventory - Result table No. 898260
DOI: 10.21258/1751393
title: Swiss national forest inventory - Result table No. 891937
DOI: 10.21258/1739035
title: Swiss national forest inventory - Result table No. 897181
DOI: 10.21258/1768901
title: Swiss national forest inventory - Result table No. 897018
DOI: 10.6084/m9.figshare.13456397
title: Acetylation of ELF5 suppresses breast cancer progression by promoting its degradation and targeting CCND1

description: Acetylation of ELF5 suppresses breast cancer progression
DOI: 10.21258/1746537
title: Swiss national forest inventory - Result table No. 898214
DOI: 10.21258/1750568
title: Swiss national forest inventory - Result table No. 893446
DOI: 10.21258/1757230
title: Swiss national forest inventory - Result table No. 899195
DOI: 10.21258/1768221
title: Swiss national forest inventory - Result table No. 899504
DOI: 10.5281/zenodo.4392293
title: IMGDroid's dataset -1000 apps

description: This is one of the data sets used by IMGDroid, which includes 1000 commercial Android apps. Please note that these apps in the data set can only be used for research. The copyright is preserved by the app vendor.
DOI: 10.5281/zenodo.4392292
title: IMGDroid's dataset -1000 apps

description: This is one of the data sets used by IMGDroid, which includes 1000 commercial Android apps. Please note that these apps in the data set can only be used for research. The copyright is preserved by the app vendor.
DOI: 10.5281/zenodo.4392285
title: IMGDroid's dataset -21 apps

description: This is one of the data sets used by IMGDroid, which includes 21 commercial Android apps. Please note that these apps in the data set can only be used for research. The copyright is preserved by the app vendor.
DOI: 10.21258/1734519
title: Swiss national forest inventory - Result table No. 891931
DOI: 10.6084/m9.figshare.13487508
title: chronobıology obesity

description: obesity, choronobiology<br>
DOI: 10.6084/m9.figshare.13487508.v1
title: chronobıology obesity

description: obesity, choronobiology<br>
DOI: 10.21258/1732301
title: Swiss national forest inventory - Result table No. 899120
DOI: 10.34740/kaggle/dsv/1777137
title: Tongue Twister Dataset
DOI: 10.34740/kaggle/dsv/1777149
title: Tongue Twister Dataset