cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17909/t9-sard-4232
title: SWIFT UVOT Open Clusters Catalog ("UVOT-OC")

description: The UVOT-OC HLSP presents near-ultraviolet (NUV) point-source catalogs for 103 Galactic open clusters measured by the Niel Gehrels Swift Mission , as part of the Swift Ultraviolet Optical Telescope (UVOT) Stars Survey (Siegel et al. 2019). It includes 103 photometry files created using DAOPHOT and a custom calibration program. Applying a membership analysis driven by Gaia DR2 proper motions, 49 of these 103 have clear precise color-magnitude diagrams amenable to investigation. For a handful of clusters, only detections matched to the GAIA DR2 are included. The catalogs provide photometry, where available, measured from images in UVOT u, uvw1, uvm2 and uvw2 filters. These data, taken across the duration of the mission, provide a unique set of NUV (3000-1700 Å) point-source photometry on simple stellar populations.
DOI: 10.5281/zenodo.3527730
title: Supplementary material

description: Fully anonymised data availabe for study: Mortality according to the cumulative time fof systolic blood pressure in critically ill patients.
DOI: 10.6073/pasta/662c9312de7ff8365543b496b754e9fe
title: Permanent forest plot data from 1982-2016 at Niwot Ridge, Colorado

description: The permanent forest plots at Niwot Ridge were installed in subalpine forests in the Colorado Front Range by Dr. Thomas T. Veblen in the early 1980s. The goal was to establish a set of long-term forest plots to monitor tree populations and stand dynamics over time. Ten large permanent plots (i.e., from 21 x 54m to 54 m x 54 m) were installed to monitor on average less than 400 trees per plot. An additional thirty smaller ‘gap’ plots (i.e. approximately 10 m x 10 m) were installed in canopy openings adjacent to three of the large permanent plots to monitor gap dynamics (c. 40 trees per plot). The plots are located across gradients in elevation and moisture and include the following subalpine tree species: lodgepole pine (“Pinus contorta”), limber pine (“Pinus flexilis”), Engelmann spruce (“Picea engelmannii”), subalpine fir (“Abies lasiocarpa”), and aspen (“Populus tremuloides”). When the plots were installed, all living and standing dead trees (over 6,000) were permanently tagged, and the following was measured for all live and dead trees less than 4 cm dbh: species, diameter at breast height (1.4 m), height class, and status (live or dead). Censuses of tree mortality were conducted roughly every three years and a complete re-measurement (e.g. dbh measurements) was conducted in 2016 (see methods for details). Counts of juvenile trees (less than 4 cm dbh) by species were conducted when the plots were installed and in 2017. This database includes three datasets: 1) description of plots (e.g. elevation, aspect, size), 2) tree data (e.g. dbh, height class, status) for all trees (greater than 4 cm dbh) monitored from early 1980s to 2016, and 3) counts of juvenile trees (less than 4 cm) by species in early 1980s and 2016.
DOI: 10.5281/zenodo.3527729
title: Supplementary material

description: Fully anonymised data availabe for study: Mortality according to the cumulative time fof systolic blood pressure in critically ill patients.
DOI: 10.21227/2czh-es14
title: Malware Analysis Datasets: PE Section Headers

description: This dataset is part of my PhD research on malware detection and classification using Deep Learning. It contains static analysis data (PE Section Headers of the .text, .code and CODE sections) extracted from the 'pe_sections' elements of Cuckoo Sandbox reports. PE malware examples were downloaded from virusshare.com. PE goodware examples were downloaded from portableapps.com and from Windows 7 x86 directories.
DOI: 10.21227/a2tc-rq22
title: High Resolution Photloluminescence Microscopy Images And Spectra Of Air-Suspended Single-Wall Carbon Nanotubes

description: The dataset contains high-resolution microscopy images and confocal spectra of semiconducting single-wall carbon nanotubes. Carbon nanotubes allow down-scaling of electronic components to the nano-scale. There is initial evidence from Monte Carlo simulations that microscopy images with high digital resolution show energy information in the Bessel wave pattern that is visible in these images. In this dataset, images from Silicon and InGaAs cameras, as well as spectra, give valuable insights into the spectroscopic properties of these single-photon emitters. The source data is connected to a GitLab pipeline running on docker containers for data processing to various formats that are valid input to machine learning algorithms to further prove that there is information about the excitonic emission wavelength contained in the microscopic images.
DOI: 10.21227/ftdh-x995
title: Malware Analysis Datasets: PE Section Headers

description: This dataset is part of my PhD research on malware detection and classification using Deep Learning. It contains static analysis data (PE Section Headers of the .text, .code and CODE sections) extracted from the 'pe_sections' elements of Cuckoo Sandbox reports. PE malware examples were downloaded from virusshare.com. PE goodware examples were downloaded from portableapps.com and from Windows 7 x86 directories.
DOI: 10.21227/k4bh-5895
title: Malware Analysis Datasets: PE Section Headers

description: This dataset is part of my PhD research on malware detection and classification using Deep Learning. It contains static analysis data (PE Section Headers of the .text, .code and CODE sections) extracted from the 'pe_sections' elements of Cuckoo Sandbox reports. PE malware examples were downloaded from virusshare.com. PE goodware examples were downloaded from portableapps.com and from Windows 7 x86 directories.
DOI: 10.21227/xv90-xg59
title: Malware Analysis Datasets: PE Section Headers

description: This dataset is part of my PhD research on malware detection and classification using Deep Learning. It contains static analysis data (PE Section Headers of the .text, .code and CODE sections) extracted from the 'pe_sections' elements of Cuckoo Sandbox reports. PE malware examples were downloaded from virusshare.com. PE goodware examples were downloaded from portableapps.com and from Windows 7 x86 directories.
DOI: 10.5519/qd.s2g8026l
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.3527982
title: Monthly word embeddings for Twitter random sample (English, 2012-2018)

description: This dataset contains monthly word embeddings created from the tweets available via the statuses/sample endpoint of the Twitter Streaming API from 2012 to 2018. Full details of the creation of the dataset are given in Room to Glo: A Systematic Comparison of Semantic Change Detection Approaches with Word Embeddings. The md5sum of the gzipped tarball file is a76888ffec8cc7aebba09d365ca55ace .
DOI: 10.7910/dvn/sg3lp1/2lp78w
title: wikia_mediawiki_xml_dumps.7z.003

description: Part 3of the xml dumps obtained from WIkia.
DOI: 10.7910/dvn/sg3lp1/8dbwcl
title: bots.RDS

description: Dataset of accounts that are bots on various wikis.
DOI: 10.7910/dvn/sg3lp1/caey50
title: wikia_mediawiki_xml_dumps.7z.001

description: Part 1 of the xml dumps obtained from WIkia.
DOI: 10.7910/dvn/sg3lp1/f4wtly
title: wikia_mediawiki_xml_dumps.7z.002

description: Part 2ofthe xml dumps obtained from WIkia.
DOI: 10.7910/dvn/sg3lp1/nw2nte
title: fdl-1.3.md

description: Free documentation license
DOI: 10.7910/dvn/sg3lp1/2xhcxp
title: ns4.reg.edits.RDS

description: Dataset of edits to the policy namespace.
DOI: 10.7910/dvn/sg3lp1/3xkgjb
title: remember.RDS

description: R data set with variables used in compiling the paper using knitr
DOI: 10.7910/dvn/sg3lp1/a7hdxm
title: README.md

description: TSV version of the dataset description
DOI: 10.7910/dvn/sg3lp1/bcev3c
title: wiki.stats.RDS

description: Dataset of statistics about each wiki
DOI: 10.7910/dvn/sg3lp1/c1kyuq
title: LICENSE.txt

description: GNU GPLv3 License
DOI: 10.7910/dvn/sg3lp1/j4xsa1
title: README.html

description: HTML version of the dataset description
DOI: 10.7910/dvn/sg3lp1/jhayr7
title: newcomers.RDS

description: RDS file of data on newcomers
DOI: 10.7910/dvn/sg3lp1/tirbmu
title: regen.all.sh

description: script to run wikiq.
DOI: 10.7910/dvn/sg3lp1/yefskj
title: lib-01-generate_userroles.RDS

description: Dataset of user roles (bots or admins) extracted from the wikia api.
DOI: 10.7910/dvn/sg3lp1/d61u0m
title: runwikiq.sh

description: script to run wikiq
DOI: 10.7910/dvn/sg3lp1/fvkt6d
title: wikiweeks.RDS

description: Dataset of variables aggregated by wiki and week
DOI: 10.17632/z4j4358356.1
title: Data for: Distribution Mapping of Soil Profile Carbon and Nitrogen With Laboratory Imaging Spectroscopy
DOI: 10.21227/zw4x-1149
title: High Resolution Photloluminescence Microscopy Images And Spectra Of Air-Suspended Single-Wall Carbon Nanotubes

description: The dataset contains high-resolution microscopy images and confocal spectra of semiconducting single-wall carbon nanotubes. Carbon nanotubes allow down-scaling of electronic components to the nano-scale. There is initial evidence from Monte Carlo simulations that microscopy images with high digital resolution show energy information in the Bessel wave pattern that is visible in these images. In this dataset, images from Silicon and InGaAs cameras, as well as spectra, give valuable insights into the spectroscopic properties of these single-photon emitters. The source data is connected to a GitLab pipeline running on docker containers for data processing to various formats that are valid input to machine learning algorithms to further prove that there is information about the excitonic emission wavelength contained in the microscopic images.
DOI: 10.21227/bg56-nv84
title: High Resolution Photloluminescence Microscopy Images And Spectra Of Air-Suspended Single-Wall Carbon Nanotubes

description: The dataset contains high-resolution microscopy images and confocal spectra of semiconducting single-wall carbon nanotubes. Carbon nanotubes allow down-scaling of electronic components to the nano-scale. There is initial evidence from Monte Carlo simulations that microscopy images with high digital resolution show energy information in the Bessel wave pattern that is visible in these images. In this dataset, images from Silicon and InGaAs cameras, as well as spectra, give valuable insights into the spectroscopic properties of these single-photon emitters. The source data is connected to a GitLab pipeline running on docker containers for data processing to various formats that are valid input to machine learning algorithms to further prove that there is information about the excitonic emission wavelength contained in the microscopic images.
DOI: 10.21227/xntr-aw52
title: Malware Analysis Datasets: PE Section Headers

description: This dataset is part of my PhD research on malware detection and classification using Deep Learning. It contains static analysis data (PE Section Headers of the .text, .code and CODE sections) extracted from the 'pe_sections' elements of Cuckoo Sandbox reports. PE malware examples were downloaded from virusshare.com. PE goodware examples were downloaded from portableapps.com and from Windows 7 x86 directories.
DOI: 10.7910/dvn/wz0bu5/cnntdo
title: IDI _kambala_MVO 342.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/ncbhny
title: IDI_Kibaya_HAN 201.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/cufipt
title: IDI_Mela_Mvo-317_SH.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/efp2a6
title: IDI_Kambala_MVO338_SH.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/gd3qcs
title: IDI_Kambala_MVO341_SH.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/joiaxl
title: IDI_Kambala_MVO335_SH.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/l0shmq
title: IDI_Mela_MVO310_SH.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/sktsjq
title: IDI_Mela_MVO 309_SH.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/sxxfj5
title: IDI_Mela_MVO314_JK.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/yyffwu
title: IDI_Kambala_MVO336.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/zhtako
title: IDI_Mela_MVO313_SH.docx

description: :unav
DOI: 10.17632/kztxvph8m2.1
title: Data for: Physiological and perceptual correlates of masculinity in children’s voices

description: Dataset for "Physiological and perceptual correlates of masculinity in children’s voices " study
DOI: 10.7910/dvn/wz0bu5/3gy6bu
title: IDI_Mela_MVO312_SH.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/cjdzxe
title: IDI_Mela_MVO316_SH.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/exo9ty
title: IDI_Kambala_MVO348_SH.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/fjozxi
title: IDI_Kambala_MVO340_SH.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/jpvmsa
title: IDI_Kambala_MVO 344.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/kiqhna
title: IDI_Kambala_MVO339.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/mdwiom
title: IDI_Mela_Mvo318_SH.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/mi9kws
title: IDI_Mela_Mvo311_SH.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/qjme6y
title: IDI_Mela_MVO315_SH.docx

description: :unav
DOI: 10.21227/p0v5-7982
title: Online Offline Learning for Sound-based Indoor Localization Using Low-cost Hardware Data

description: 7200 .csv files, each containing a 10 kHz recording of a 1 ms lasting 100 hz sound, recorded centimeterwise in a 20 cm x 60 cm locating range on a table. 3600 files (3 at each of the 1200 different positions) are without an obstacle between the loudspeaker and the microphone, 3600 RIR recordings are affected by the changes of the object (a book). The OOLA is initially trained offline in batch mode by the first instance of the RIR recordings without the book. Then it learns online in an incremental mode how the RIR changes by the book. Classification rates of up to 97.5% for offline test data (2nd and 3rd instance without room change) and up to 90% for online test data (3 instances with book) can be achieved.Matlab Implementation of the described Online Offline Learning Architecture (OOLA) and Visualizations/Plots of Simulations (https://ieeexplore.ieee.org/document/8869796).The files includeData Generation SourcecodesMicrocontroller sourcecode (path:DataGeneration/controller.ino)Node-RED flow (path:DataGeneration/node_RED_flow.txt)Python file manipulation (path:DataGeneration/Python/prepare_data_format.py)Sound file generator (path:DataGeneration/soundGenerator.m)Raw dataOffline data (path:Matlab/load and preprocess offline data/data)Online data (path:Matlab/online data load and preprocess/data)Preprocessed dataOffline data (path:Matlab/load and preprocess offline data/Data3600.mat)Online data (path:Matlab/online data load and preprocess/DataOnline3600.mat)The Online Offline Learning Architecture (OOLA)Configurable (path:Matlab/OOL/InitOOL.m)With basic 1NN & K-Means implementations (path:Matlab/OOL/)Plots and visualisations of simulationsBasic LVQ simulator (path:Plots/LVQ Simulator/LVQSimulatorV003.m)K-Means/LVQ comparison simulator (path:Plots/LVQ Simulator/kmeanslvqprototypes.m)Overall results bar charts (path:Plots/ool results plot 1/plotergebnisse.m)StatisticsK-Means prototypes classification rates (path:Matlab/lvq and kmeans test/kMeansPrototypes)LVQ prototypes classification rates (path:Matlab/lvq and kmeans test/LVQPrototypes)OOLA classification rates depending on configurations (path:Results/OOL/)OOLA processing data for classification (path:Results/OOL/)
DOI: 10.7910/dvn/wz0bu5/7lsznu
title: IDI_Kibaya_HAN 205.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/mhzcm2
title: KII_Kibaya_Villagechair_27 Sept 2017_Trans_LN (1).docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/ot1bq4
title: KII_Kibaya_Elder_26 Sept 2017_Trans_LN.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/quh14l
title: IDI_Kibaya_HAN 202.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/rbsifc
title: KII_KAMBALA_4 Oct 2017_JK.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/vzygbw
title: KII_KAMBALA_ELderfemale_4oct 2017_Trans_MN.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/xyqyji
title: IDI_Kibaya_HAN206.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/zt8bqz
title: KII_Mela_Village ELder 2 Oct 2017 Trans_MK.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/1injhs
title: FGD_KAMBALA_ELDERMEN_29Sept 2017_SH.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/1rx8oa
title: FGD KIBAYA ADULT WOMEN MAASAI_25th Sept 2017 - FINAL.doc

description: :unav
DOI: 10.7910/dvn/wz0bu5/b652xm
title: FGD KIBAYA ADULT WOMEN MAASAI_25th Sept 2017 - FINAL_SH.doc

description: :unav
DOI: 10.7910/dvn/wz0bu5/bclqy6
title: FGD_KAMBALA_ELDER WOMEN_29Sep 2017_SH.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/giske8
title: FGD_KAMBALA_ADULTMALE 29 Sep 2017_JK.doc

description: :unav
DOI: 10.7910/dvn/wz0bu5/mrrk4p
title: FGD_KAMBALA_ADULTWOMEN_4Oct2017_JK.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/pdo5n4
title: FGD_KAMBALA_YOUTHFEMALE_29Sep 2017_JK.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/xo0fuv
title: KII_Mela_Village ELder_3 Oct 2017_Trans_MK.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/9pqzja
title: FGD_KIBAYA_ADULTWOMEN_ZIGUA Aziz J compete.doc

description: :unav
DOI: 10.7910/dvn/wz0bu5/b5bebv
title: FGD_KIBAYA_ELDERMEN-MAASAI_26Sep 2017_SH.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/dfqiy3
title: FGD_KIBAYA_ADULTMEN-ZIGUA_26Sep 2017_SH.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/dyp1gq
title: FGD_KIBAYA_YOUTH MALE_ZIGUA AND MAASAI_26Sep 2017-FINAL_SH.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/f3edwf
title: FGD_KAMBALA_YOUTHMALE_29Sep 2017_SH (1).docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/gpwul7
title: FGD_KIBAYA_ADULTMEN_MAASAI_27Sep2017_JK.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/im8nhm
title: FGD_KIBAYA_YOUTH-FEMALE-MAASAI-ZIGUA_25Sep 2017_JK.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/mmo6ls
title: FGD_KIBAYA_ELDER WOMEN_MAASAI_27Sep 2017.FINAL_SH.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/x1obgp
title: FGD_KAMBALA_YOUTHMALE_29Sep 2017.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/yffwfa
title: FGD_MELA_ADULTMEN_MAASAI_2Oct 2017_JK.docx

description: :unav
DOI: 10.7910/dvn/bpo3no/gjtvsy
title: Independent vendors Kibaya.pdf

description: :unav
DOI: 10.7910/dvn/wz0bu5/ck79q7
title: FGD_MELA_YOUTHMALE_3Oct 2017.doc

description: :unav
DOI: 10.7910/dvn/wz0bu5/hgpssj
title: FGD_MELA_YOUTHMALE_3Oct 2017_SH.doc

description: :unav
DOI: 10.7910/dvn/wz0bu5/oxiazg
title: FGD_MELA_ELDERWOMEN_2Oct 2017_JK.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/pve0bt
title: FGD_MELA_YOUTHFEMALE_2Oct 2017_SH.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/yd220k
title: FGD_MELA_ELDERMEN_3oct 2017_JK.docx

description: :unav
DOI: 10.7910/dvn/wz0bu5/ylwuu5
title: FGD_MELA_ADULTWOMEN_2Oct 2017-FINAL_SH.docx

description: :unav
DOI: 10.7910/dvn/bpo3no/hmdnso
title: Dakawa market Kambala_Jasmine.pdf

description: :unav
DOI: 10.7910/dvn/bpo3no/jl4q4f
title: Melela mlandez and independent vendor Mela.pdf

description: :unav
DOI: 10.7910/dvn/bpo3no/rol0ix
title: Melin market Kibaya_Jasmine.pdf

description: :unav
DOI: 10.7910/dvn/bpo3no/s9ndaq
title: Independent vendors Masatu.pdf

description: :unav
DOI: 10.7910/dvn/bpo3no/yx7toe
title: Korogwe Masatu_Jasmine.pdf

description: :unav
DOI: 10.7910/dvn/bpo3no/yycblf
title: Melin market Kibaya_Sydney.pdf

description: :unav
DOI: 10.7910/dvn/ypymh8/2egv5c
title: ESS8_codebook.pdf

description: Survey questionnaire
DOI: 10.7910/dvn/ypymh8/3abnrx
title: paper.smcl

description: Stata log of the paper
DOI: 10.7910/dvn/ypymh8/nj9qet
title: supplementary_bjpols.do

description: Replication for supplementary material
DOI: 10.7910/dvn/ypymh8/owkfug
title: readme.pdf

description: Relevant information
DOI: 10.7910/dvn/ypymh8/vmrbsp
title: data.dta

description: Main dataset
DOI: 10.7270/q2348nfn
title: BindingDB Entry 734: Spiro-thiazolones

description: Small molecule binding data for protein Vasopressin V1a receptor, Uniprot P37288
DOI: 10.7270/q26w9d35
title: BindingDB Entry 733: Necrosis inhibitors

description: Small molecule binding data for protein Receptor-interacting protein 1 (RIPK1), Uniprot Q13546
DOI: 10.7270/q2bp04t1
title: BindingDB Entry 731: Piperidine derivative and preparation method and pharmaceutical use thereof

description: Small molecule binding data for protein G-protein coupled estrogen receptor 1, Uniprot Q99527
DOI: 10.7270/q2gf0wjc
title: BindingDB Entry 730: Benzamide imidazopyrazine Btk inhibitors

description: Small molecule binding data for protein Tyrosine-protein kinase BTK, Uniprot Q06187
DOI: 10.7270/q2m61n9j
title: BindingDB Entry 729: Imidazopyridazine derivatives as PI3KB inhibitors

description: Small molecule binding data for protein Peptidyl-prolyl cis-trans isomerase FKBP1B/Serine/threonine-protein kinase mTOR, Phosphatidylinositol 4,5-bisphosphate 3-kinase catalytic subunit delta isoform/gamma isoform, Phosphatidylinositol 4,5-bisphosphate 3-kinase catalytic subunit gamma isoform, Phosphatidylinositol 4-phosphate 3-kinase C2 domain-containing subunit alpha, and Phosphatidylinositol 4-phosphate 3-kinase C2 domain-containing subunit beta, Uniprot O00329, O00443, O00750, P42345, and P48736
DOI: 10.7270/q2qz2d0h
title: BindingDB Entry 728: Fused bicylic pyridine compounds and their use as AMPA receptor modulators

description: Small molecule binding data for protein Voltage-dependent calcium channel gamma-8 subunit, Uniprot Q8WXS5
DOI: 10.7270/q2tq63kf
title: BindingDB Entry 736: Phosphatidylinositol 3-kinase inhibitors

description: Small molecule binding data for protein Phosphatidylinositol 3-kinase regulatory subunit beta, Phosphatidylinositol 4,5-bisphosphate 3-kinase catalytic subunit delta isoform/gamma isoform, and Phosphatidylinositol 4,5-bisphosphate 3-kinase catalytic subunit gamma isoform, Uniprot O00329, O00459, and P48736
DOI: 10.7910/dvn/apl8ig/0lfhyr
title: FGD_Konje_YouthFemale15Feb2017_SH.docx

description: :unav
DOI: 10.7910/dvn/apl8ig/9avbio
title: Fatuma Gharib MVO 378_SH.docx

description: :unav
DOI: 10.7910/dvn/apl8ig/f3h4r8
title: IDI_Kibaya_HAN201_16Feb 2017_SH.doc

description: :unav
DOI: 10.7910/dvn/apl8ig/fc5ewz
title: FGD_Mela_Adultmen_28Feb 2017_JK.docx

description: :unav
DOI: 10.7910/dvn/apl8ig/odgmxk
title: KII_Kambala_ElderWoman_24th Feb 2017_JK.docx

description: :unav
DOI: 10.7910/dvn/apl8ig/rziyqz
title: IDI_Konje_han229 Trans_SH.docx

description: :unav
DOI: 10.7910/dvn/apl8ig/w9ai6n
title: FGD_KAMBALA-ELDERMEN28FEB2017_SH.docx

description: :unav
DOI: 10.7910/dvn/apl8ig/yxdu75
title: Lulu Ngume HAN-172_SH.docx

description: :unav
DOI: 10.7910/dvn/ypymh8/v6o5we
title: paper_bjpols.do

description: Replication for the article
DOI: 10.7910/dvn/ypymh8/zkp5ex
title: supplementary.smcl

description: Stata log of supplementary material
DOI: 10.7270/q22809ms
title: BindingDB Entry 746: Tetrazolone-substituted dihydropyridinone MGAT2 inhibitors

description: Small molecule binding data for protein Alpha-1,6-mannosyl-glycoprotein 2-beta-N-acetylglucosaminyltransferase, Uniprot Q10469
DOI: 10.7270/q25x2c0s
title: BindingDB Entry 745: 1-pyridazin-/triazin-3-yl-piper(-azine)/idine/pyrolidine derivatives and compositions thereof for inhibiting the activity of SHP2

description: Small molecule binding data for protein Tyrosine-protein phosphatase non-receptor type 11, Uniprot Q06124
DOI: 10.7270/q29p33pn
title: BindingDB Entry 744: 1-pyridazin-/triazin-3-yl-piper(-azine)/idine/pyrolidine derivatives and compositions thereof for inhibiting the activity of SHP2

description: Small molecule binding data for protein Bcl-2-like protein 1, Bcl2-antagonist of cell death (BAD), and Induced myeloid leukemia cell differentiation protein Mcl-1, Uniprot Q07817 and Q92934
DOI: 10.7270/q2ff3vd0
title: BindingDB Entry 743: MAGL inhibitors

description: Small molecule binding data for protein Monoglyceride lipase, Uniprot Q99685
DOI: 10.7270/q2k64m4q
title: BindingDB Entry 742: Bifunctional compounds and use for reducing uric acid levels

description: Small molecule binding data for protein Solute carrier family 22 member 12 and Xanthine dehydrogenase/oxidase, Uniprot P47989 and Q96S37
DOI: 10.7270/q2pz5bw5
title: BindingDB Entry 739: Heterocyclylamines as PI3K inhibitors

description: Small molecule binding data for protein Phosphatidylinositol 4,5-bisphosphate 3-kinase catalytic subunit delta isoform/gamma isoform, Uniprot O00329