cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5552767.v1
title: PDAC_WGS_Processed_Data

description: This dataset is linked to the following publication: <b>Whole Genomes Define Concordance of Matched Primary, Xenograft, and Organoid Models of Pancreas Cancer</b><b><br></b> The Zipped folder contains processed WGS data pertaining to SSM, SV, and CNV analysis of WGS data for PDAC.<br><br><b>Corresponding authors:</b> Dr. Deena Gendoo, email: deena.gendoo1984@gmail.com<br>Dr. Steven Gallinger, email: steven.gallinger@uhn.ca<br>Dr. Benjamin Haibe-Kains, email: benjamin.haibe.kains@utoronto.ca<br><br><br><br> Dr. Steven Gallinger & Dr. Benjamin Haibe-Kains are co-last authors of this publication. <b><br></b><b><br></b><br><br>
DOI: 10.6084/m9.figshare.7372898.v1
title: Simultaneous extracellular electrophysiology data

description: Supporting data for “An orderly single-trial organization of population dynamics in premotor cortex predicts behavioral variability”.<br>
DOI: 10.6084/m9.figshare.6454973.v5
title: SNU and SNU MELANOMA dataset + Quiz

description: <b>1. SNU_thumbnail100.zip</b>SNU Dataset2201 images; thumbnail<br>Red rectangle - diagnosed by biopsyBlack rectangle - diagnosed by clinical impression<br><b>2. SNU_melanoma_thumbnail100.zip</b>SNU MELANOMA Dataset151 images; thumbnail<br><b>3. SNU_melanoma_Breslow.zip</b>SNU Dataset49 images; thumbnailSNU_melanoma_Breslow.xlsx : 1) Breslow thickness 2) invasive vs in situ 3) Age/Sex<br><br><b>4. quiz.zip</b>SNU Dataset; Quiz for AI and Dermatologist240 images; SNU datasetQUIZ.pdfANSWER.xlsxdoctor.xlsxdoctor_AI.xlsxpublic.xlsxpublic_AI.xlsx<br><b>5. quiz2201.zip</b>SNU Dataset; Quiz for AI and Dermatologist2201 images; thumbnail (1.jpg ~ 36.jpg)quiz2201.xlsxquiz2201_AI.xlsx<br>answer.ods<br><b>6. Raw output - Miss rate</b>We calculated miss rate (1-sensitivity) from the raw outputs of CNN with the whole SNU dataset (2201 images).<br>The X-axis is raw_output and Y-axis is miss rate, and the graph is close to a straight line.We used miss rate instead of raw output. Thus, we can follow up the obtained value even if the algorithm will be changed.<br><br><b># Edinburgh dataset</b>Edinburgh dermofit image library is a commercial library.; https://licensing.edinburgh-innovations.ed.ac.uk/i/software/dermofit-image-library.html<br>
DOI: 10.6084/m9.figshare.6454973.v4
title: SNU and SNU MELANOMA dataset + Quiz

description: <b>1. SNU_thumbnail100.zip</b>SNU Dataset2201 images; thumbnail<br>Red rectangle - diagnosed by biopsyBlack rectangle - diagnosed by clinical impression<br><b>2. SNU_melanoma_thumbnail100.zip</b>SNU MELANOMA Dataset151 images; thumbnail<br><b>3. SNU_melanoma_Breslow.zip</b>SNU Dataset49 images; thumbnailSNU_melanoma_Breslow.xlsx : 1) Breslow thickness 2) invasive vs in situ 3) Age/Sex<br><br><b>4. quiz.zip</b>SNU Dataset; Quiz for AI and Dermatologist240 images; SNU datasetQUIZ.pdfANSWER.xlsxdoctor.xlsxdoctor_AI.xlsxpublic.xlsxpublic_AI.xlsx<br><b>5. quiz2201.zip</b>SNU Dataset; Quiz for AI and Dermatologist2201 images; thumbnail (1.jpg ~ 36.jpg)quiz2201.xlsxquiz2201_AI.xlsx<br>answer.ods<br><br><b># Edinburgh dataset</b>Edinburgh dermofit image library is a commercial library.; https://licensing.edinburgh-innovations.ed.ac.uk/i/software/dermofit-image-library.html<br>
DOI: 10.48370/ofd/imj5cz/bmq1vu
title: Golovinomyces artemisiae (Grev.) V.P. Heluta F-0510.tif

description: :unav
DOI: 10.48370/ofd/imj5cz
title: Golovinomyces artemisiae (Grev.) V.P. Heluta, 510

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.5966671.v2
title: Closed Doors Everywhere? A Meta-Analysis of Field Experiments on Ethnic Discrimination in Rental Housing Markets

description: Discrimination is long seen as a meaningful factor for ethnic inequalities on rental housing markets. Yet empirically, the extent of discrimination is still debatable. For the first time, this article provides a quantitative meta-analysis of 71 experimental studies (in person audits and correspondence tests) that were run over the last four decades in the United States, Canada and Europe. Special focus is given to a possible inflation of effect sizes by publication bias; to time trends; and to evidence for statistical discrimination. Taken together, nearly all experiments document the occurrence of ethnic discrimination. Although the effect sizes are inflated by publication bias, there is still substantial evidence left once this the bias is removed. <br>
DOI: 10.6084/m9.figshare.7473191.v1
title: Predicting energy cost from wearable sensors: A dataset of energetic and physiological wearable sensor data from healthy individuals performing multiple physical activities

description: This dataset presents energetic and wearable physiological sensor data from ten healthy subjects performing six physical activities. The activities tested were: walking, incline walking, backwards walking, and running on a treadmill, cycling on a stationary bike, and stair climbing on a stairmill -- all at a variety of speeds and/or intensities (21 total conditions). The following physiological signals were collected from wearable sensors while subjects performed all the activities: - Oxygen consumption and carbon dioxide production- Respiratory exchange ratio- Breath frequency- Minute ventilation - Oxygen saturation (SpO<sub>2</sub>)- Heart rate- Electrodermal activity- Skin temperature - Accelerations, angular velocity, and magnetic field measured from left/right wrist, left/right ankle, left/right foot, pelvis, and chest (IMUs)- Surface EMG from left/right gluteus maximus, rectus femoris, vastus lateralis, semitendinosis, biceps femoris, medial gastrocnemius, soleus, tibialis anterior<br>The data are contained in ten (10) Matlab .mat files (one for each subject). For a complete description of experimental methods and file structure please see the file: CompleteDataDescription_Ingraham_Remy_Ferris_2018.PDF<br>Please direct any correspondence to: Kimberly Ingraham (kaingr@umich.edu)<br><br><br>
DOI: 10.6084/m9.figshare.7477511.v2
title: Okura et al.xlsx

description: Fig. 1: Gastrointestinal motilityFig. 3: Serum glucose and proteinFig. 4: Fecal starch, glucose, protein, and lipidFig. 5: Food intake
DOI: 10.6084/m9.figshare.7491836.v1
title: Pathway functional enrichment result for up-down regulation genes

description: Pathway functional enrichment result for up-down regulation genes - RNAseq flax seedlings (Nike, Regina, 14 day old) after F. oxysporum infection (24h and 48h)
DOI: 10.6084/m9.figshare.7488770.v2
title: Validated AoA norms for Dutch, Ghyselinck et al. (2000)

description: Alphabetical listing of 254 validated words together with their rated AoA, logarithmic frequency and the evaluation of the three judges.<br>reference_to_cite: "Ghyselinck, M., De Moor, W., & Brysbaert M. (2000). Age-of-acquisition ratings on 2816 Dutch four- and five-letter nouns, Psychologica Belgica."<br>url_information: "Authors' website ( http://expsy.ugent.be/research/Rdocuments/downloads/AoA/validation.html )"<br>url_download: "Authors' website ( http://expsy.ugent.be/research/Rdocuments/downloads/AoA/validation.html )"
DOI: 10.6084/m9.figshare.7488770.v1
title: Validated AoA norms for Dutch, Ghyselinck et al. (2000a)

description: Alphabetical listing of 254 validated words together with their rated AoA, logarithmic frequency and the evaluation of the three judges.<br>reference_to_cite: "Ghyselinck, M., De Moor, W., & Brysbaert M. (2000). Age-of-acquisition ratings on 2816 Dutch four- and five-letter nouns, Psychologica Belgica."<br>url_information: "Authors' website ( http://expsy.ugent.be/research/Rdocuments/downloads/AoA/validation.html )"<br>url_download: "Authors' website ( http://expsy.ugent.be/research/Rdocuments/downloads/AoA/validation.html )"
DOI: 10.6084/m9.figshare.7490570.v1
title: results 4.15.docx

description: data for us
DOI: 10.6084/m9.figshare.6984251.v10
title: Channelings

description: Materials related to the Channelings Interviews:<br>N_date= original audio interviews in Italian with the channeler NE_date= original audio interviews in Italian with the channeler ED_date= original audio interviews in Italian with the channeler DGroup_date = original audio group interviews in ItalianGroup Channelings while in Hypnobe = English translation of multiple channelings interviews<br><br>
DOI: 10.6084/m9.figshare.6984251.v9
title: Channelings

description: Materials related to the Channelings Interviews:<br>N_date= original audio interviews in Italian with the channeler NE_date= original audio interviews in Italian with the channeler ED_date= original audio interviews in Italian with the channeler DGroup_date = original audio group interviews in ItalianGroup Channelings while in Hypnobe = English translation of multiple channelings interviews<br><br>
DOI: 10.6084/m9.figshare.7160342.v1
title: ADN precomputed gene co-expression in Alzheimer's disease and healthy samples.

description: This is a part of HENA dataset.<br>To save the computational time this part of the dataset is provided in the precomputed form.
DOI: 10.6084/m9.figshare.7530833.v1
title: Co-expression in DG brain region

description: This co-expression data set is computed over samples related to DG brain region using data sets from Allen Human Brain Atlas H0351.2001, H0351.2002, H0351.1009, H0351.1012, H0351.1015, H0351.1016.It is a part of HEterogeneous Network-based data set for Alzheimer's disease (HENA) that brings together Alzheimer's disease related data from well known public collections, as well as novel data sets generated by the members of AgedBrainSYSBIO consortium.
DOI: 10.6084/m9.figshare.7530848.v1
title: Co-expression in SptN brain region

description: This co-expression data set is computed over samples related to SptN brain region using data sets from Allen Human Brain Atlas H0351.2001, H0351.2002, H0351.1009, H0351.1012, H0351.1015, H0351.1016.It is a part of HEterogeneous Network-based data set for Alzheimer's disease (HENA) that brings together Alzheimer's disease related data from well known public collections, as well as novel data sets generated by the members of AgedBrainSYSBIO consortium.
DOI: 10.6084/m9.figshare.7162337.v1
title: Aggregated gene expression in six whole-brain microarray datasets

description: This is a part of node attributes of HENA integrated dataset.<br>In order to save computational time, the data will we pre-uploaded with the project.
DOI: 10.6084/m9.figshare.5234704.v1
title: Positive Darwinian selection

description: This data set describes an evolutionary dynamics in genes that are associated with Alzheimer’s disease.
DOI: 10.6084/m9.figshare.7529036.v1
title: Co-expression in CA3 brain region

description: This co-expression data set is computed over samples related to CA3 brain region using data sets from Allen Human Brain Atlas H0351.2001, H0351.2002, H0351.1009, H0351.1012, H0351.1015, H0351.1016.It is a part of HEterogeneous Network-based data set for Alzheimer's disease (HENA) that brings together Alzheimer's disease related data from well known public collections, as well as novel data sets generated by the members of AgedBrainSYSBIO consortium.
DOI: 10.6084/m9.figshare.7529027.v1
title: Co-expression in CA2 brain region

description: This co-expression data set is computed over samples related to CA2 brain region using data sets from Allen Human Brain Atlas H0351.2001, H0351.2002, H0351.1009, H0351.1012, H0351.1015, H0351.1016.It is a part of HEterogeneous Network-based data set for Alzheimer's disease (HENA) that brings together Alzheimer's disease related data from well known public collections, as well as novel data sets generated by the members of AgedBrainSYSBIO consortium.
DOI: 10.6084/m9.figshare.7528730.v1
title: Co-expression in CA1 brain region

description: This co-expression data set is computed over samples related to CA1 brain region using data sets from Allen Human Brain Atlas H0351.2001, H0351.2002, H0351.1009, H0351.1012, H0351.1015, H0351.1016.It is a part of HEterogeneous Network-based data set for Alzheimer's disease (HENA) that brings together Alzheimer's disease related data from well known public collections, as well as novel data sets generated by the members of AgedBrainSYSBIO consortium.
DOI: 10.6084/m9.figshare.7752341.v3
title: Diuretic Activity Report of JT09 in Sprague-Dawley Rats: Study Report Data

description: This data set contains information regarding a diuretic activity study performed using a novel, peptide-derived, peripherally-restricted, kappa opioid agonist. The data outlines clinical chemistry and arginine vasopressin release in rats receiving various doses experimental compound compared to controls.<br>
DOI: 10.6084/m9.figshare.7752341.v2
title: Diuretic Activity Report of JT09 in Sprague-Dawley Rats: Study Report Data

description: This data set contains information regarding a diuretic activity study performed using a novel, peptide-derived, peripherally-restricted, kappa opioid agonist. The data outlines clinical chemistry and arginine vasopressin release in rats receiving various doses experimental compound compared to controls.<br>
DOI: 10.6084/m9.figshare.7754834.v2
title: 3D-PTV Demo - Turbulent Jet

description: A 3D-PTV demo of a weakly turbulent jet, with some air bubbles. The jet is injected vertically upwards inside a glass tank full of water. The water is seeded with tracer particles at a rather high seeding density. The jet is weakly turbulent at a Reynolds number in the order of a few hundred ~500, and a nozzle diameter of ~ 1cm. The flow is generated by a peristaltic pump. <br><br>This dataset holds both raw data (images and binary "blob" files) that can be used to generate Lagrangian tracer trajectories, and a segment of post-processed data. Furthermore, there are videos and visualizations of the processed data and raw videos of the experimental apparatus. There is also a small number of python scripts that can help in the processing. The data open for free use, under a humble request of citation. <br><br>- Extensive description in the README file.- See the working example via Ipython notebook.<br><br>- For more information, please contact Ron Shnapp - ronshnapp@gmail.com.
DOI: 10.6084/m9.figshare.7754834.v1
title: 3D-PTV Demo - Turbulent Jet

description: A 3D-PTV demo of a weakly turbulent jet, with some air bubbles. The jet is injected vertically upwards inside a glass tank full of water. The water is seeded with tracer particles at a rather high seeding density. The jet is weakly turbulent at a Reynolds number in the order of a few hundred ~500, and a nozzle diameter of ~ 1cm. The flow is generated by a peristaltic pump. <br><br>This dataset holds both raw data (images and binary "blob" files) that can be used to generate Lagrangian tracer trajectories, and a segment of post-processed data. Furthermore, there are videos and visualizations of the processed data and raw videos of the experimental apparatus. There is also a small number of python scripts that can help in the processing. The data open for free use, under a humble request of citation. <br><br>- Extensive description in the README file.<br><br>- For more information, please contact Ron Shnapp - ronshnapp@gmail.com.
DOI: 10.6084/m9.figshare.7053701.v3
title: Data-files of ecology and evolution.xlsx

description: The data of manuscripts number ECE-2018-09-01065 of the journal "ecology and evolution"
DOI: 10.6084/m9.figshare.7545161.v1
title: Supplemental Figure S1

description: Paper
DOI: 10.6084/m9.figshare.7688840.v4
title: visual-search-nets

description: Data for https://github.com/NickleDave/visual-search-nets<br>
DOI: 10.6084/m9.figshare.7688840.v3
title: visual-search-nets

description: Data for https://github.com/NickleDave/visual-search-nets<br>
DOI: 10.6084/m9.figshare.7163402.v3
title: All Figures

description: All Figures included in article entitled:"Self-Organising Swarms of Fire-Fighting Drones: Harnessing the Power of Collective Intelligence in Decentralised Multi-Robot Systems"
DOI: 10.6084/m9.figshare.7163402.v2
title: All Figures

description: All Figures included in article entitled:"Self-Organising Swarms of Fire-Fighting Drones: Harnessing the Power of Collective Intelligence in Decentralised Multi-Robot Systems"
DOI: 10.6084/m9.figshare.7707743.v2
title: Phenotype data: Example of (simulated) phenotype data

description: This is a simulated dataset with phenotypes that can be used with the GEUVADIS vcf data<br>
DOI: 10.6084/m9.figshare.7707743.v1
title: Example of (simulated) phenotype data

description: This is a simulated dataset with phenotypes that can be used with the GEUVADIS vcf data<br>
DOI: 10.6084/m9.figshare.7618538.v3
title: GEUVADIS gene expression values (First 1000 entries and names adjusted)

description: Corresponding gene expression dataset from the GEUVADIS project. This dataset was not produced by me, it is just used as an example dataset in the corresponding manuscript, that can be found here:<br><br>The original dataset can be found here:https://www.ebi.ac.uk/arrayexpress/files/E-GEUV-1/<br>
DOI: 10.6084/m9.figshare.7618388.v3
title: Variant data: GEUVADIS variants, whole genome, every 100th line subsampled

description: A vcf example dataset, downloaded from the GEUVADIS project. As example we took just every 100st line over the whole genome to get a smaller dataset that is easier to handle for testing and example purposes.<br>This dataset was not produced by me, it is just used as an example dataset in the corresponding manuscript, that can be found here:<br><br>The original dataset can be found here:https://www.ebi.ac.uk/arrayexpress/files/E-GEUV-1/<br>
DOI: 10.6084/m9.figshare.7618388.v2
title: GEUVADIS variants, whole genome, every 100th line subsampled

description: A vcf example dataset, downloaded from the GEUVADIS project. As example we took just every 100st line over the whole genome to get a smaller dataset that is easier to handle for testing and example purposes.<br>This dataset was not produced by me, it is just used as an example dataset in the corresponding manuscript, that can be found here:<br><br>The original dataset can be found here:https://www.ebi.ac.uk/arrayexpress/files/E-GEUV-1/<br>
DOI: 10.6084/m9.figshare.7803092.v1
title: Magnetoelastic hybrid excitations in CeAuAl3

description: All raw data + scripts to analyze them related to publication "Magnetoelastic hybrid excitations in CeAuAl<sub>3</sub>".<b></b><br><b>Description of fileset:</b>DATA:<b>rawdata.zip</b> … raw data measured on PUMA and PANDA spectrometers at MLZ, Garching, DE, extract in order to use in scripts<br>SCRIPTS:<b>CeAuAl3 figures.ipynb</b> … visualization of 2D maps and fitting of raw data to get CF peaks<b>Anticrossing.ipynb</b> … analysis of anticrossing between acoustic phonons and crystal field levels<b></b><i></i><sub></sub><sup></sup><br><b>CF bfk.ipynb</b> … Becker-Fulde-Keller analysis of the data<b>PureCFdetermination.ipynb</b> … simulated annealing and visualization of CF levels<br>LIBRARIES:<br><b>bfk.f90</b> … Becker-Fulde-Keller code for coupling with conduction electrons<br><i>bfk.pyd</i> … compiled version<br><b>cfpoint.py</b> … code used in PureCFdetermination.ipynb<br><b>myconv.py</b> … code used in CF bfk.ipynb <br>MISCELLANEOUS:<i>cfpoints.txt</i> … example simulated data coming from annealing script <br><i>paper.mplstyle</i> … chart styling<br><i>presentation.mplstyle</i> … chart styling <br><br><br><b>Instructions:</b>In order to run scripts, you need: * crysfipy library used for CF calculations, see references * ufit library for neutron fitting, see references<br><i>Feel free to contact author (Petr Čermák) in case of troubles with data analysis/running scripts/plotting results (see references).</i>
DOI: 10.6084/m9.figshare.7835516.v1
title: Speckle-correlation scattering matrix reconstruction for mixed state

description: Density matrix reconstruction using an optical diffuser, numerical simulation code.Written in 2017-07-07Revised in 2018-11-12by KyeoReh Lee (Biomedical optics laboratory, KAIST, Korea), kyeo@kaist.ac.kr,for further information, please refer our group homepage: bmol.kaist.ac.kr
DOI: 10.6084/m9.figshare.7616633.v3
title: Behavioral responses of mountain gorillas around the corpse of a dominant group silverback, Titus

description: Affiliative, investigative, and agonistic behaviors around the corpse of a dominant group silverback mountain gorilla
DOI: 10.6084/m9.figshare.7616633.v2
title: Behavioral responses of mountain gorillas around the corpse of a dominant group silverback, Titus

description: Affiliative, investigative, and agonistic behaviors around the corpse of a dominant group silverback mountain gorilla
DOI: 10.6084/m9.figshare.6587699.v1
title: Results of backbone scaling survey at 16ECEE

description: Results of an online survey conducted at the 16th European Conference on Earthquake Engineering on the backbone scaling factors to be used.<br>
DOI: 10.6084/m9.figshare.7590833.v3
title: CT Scan of Barley (Hordeum vulgare L.)

description: A 3D volumetric image of a 2-row barley spike generated by X-ray Computed Tomography (CT) by Jacob Landis and Daniel Koenig (University of California, Riverside). <br><br>The .zip file contains the raw .tif files and the .npy files is a numpy matrix.
DOI: 10.6084/m9.figshare.7590833.v2
title: CT Scan of Barley (Hordeum vulgare L.)

description: A 3D volumetric image of a 2-row barley spike generated by X-ray Computed Tomography (CT) by Jacob Landis and Daniel Koenig (University of California, Riverside). <br><br>The .zip file contains the raw .tif files and the .npy files is a numpy matrix.
DOI: 10.6084/m9.figshare.1613510.v2
title: Factors influencing the discovery and use of wildlife passages for small fauna - Data

description: Data used to extract passageway use and discovery information for 17 wildlife passages in Quebec, Canada. Data obtained with the funding of the Quebec Ministry of Transportation, awarded to Concordia University.<b><br></b>Published. Martinig, A. R., and K. Bélanger-Smith. 2016<i>. </i>Factors influencing the discovery and success of wildlife passages for smaller fauna. Journal of Applied Ecology 53:825–836.
DOI: 10.6084/m9.figshare.1613510.v1
title: Passageway Dataset

description: Data used to extract passageway use and discovery information for 17 wildlife passages in Quebec, Canada. Data obtained with the funding of the Quebec Ministry of Transportation, awarded to Concordia University.<b><br></b>Published. Martinig, A. R., and K. Bélanger-Smith. 2016<i>. </i>Factors influencing the discovery and success of wildlife passages for smaller fauna. Journal of Applied Ecology 53:825–836.
DOI: 10.6084/m9.figshare.7033577.v3
title: Deep image reconstruction from human brain activity

description: DNN features decoded from human brain activity; Data used in Shen, Horikawa, Majima, and Kamitani (2019) Deep image reconstruction from human brain activity. PLos Comput Biol.<br> Demo code at GitHub fMRi data at OpenNeuro<br> Prepring at bioRxiv<br>
DOI: 10.6084/m9.figshare.7033577.v2
title: Deep Image Reconstruction

description: CNN features decoded from human brain activity; Data used in "Shen et al. (2017) Deep image reconstruction from human brain activity. bioRxiv.<br><br>
DOI: 10.6084/m9.figshare.7022621.v1
title: Casting light on Asgardarchaeota metabolism in a sunlit microoxic niche

description: This is a repository for data associated with the manuscript "Casting light on Asgardarchaeota metabolism in a sunlit microoxic niche". The folder contains sequences, alignments and phlyogenetic trees used for the construction of the figures.