cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5727149
title: Overpressure Analysis

description: The data set contains two tables. One is the 2D pore structure parameters of the cast thin sections of tight sandstone set at the depth of 4000 m - 4300 m in the Ledong 10 area, Yinggehai Basin, South China Sea, obtained through digital image analysis technology. The other is the test results of carbon and oxygen isotopes of natural gas and CO2 from the formations below 4000 m in Ledong 10 area, Yinggehai Basin, and the test results of the contents of each gas component. All data is for academic purposes only. Thank you. Wish your success with these data.
DOI: 10.34740/kaggle/dsv/2851597
title: 2021 World Population (updated daily)
DOI: 10.6084/m9.figshare.13727335
title: Literature Dataset of Hydrogen Uptake on Porous Carbon

description: A dataset containing the textural properties (BET Surface Area <i>S<sub>BET </sub></i>(m<sup>2</sup>/g), Ultramicropore Volume<i> V<sub>umic</sub></i> (cm<sup>3</sup>/g), Micropore Volume <i>V<sub>mic </sub></i>(cm<sup>3</sup>/g), Mesopore Volume <i>V<sub>meso </sub></i>(cm<sup>3</sup>/g), Total Pore Volume <i>V<sub>t</sub></i> (cm<sup>3</sup>/g)) and the chemical composition (C,H,O,N wt%) of various porous carbon materials as well as their corresponding hydrogen uptake <i>Exc </i>(H<sub>2</sub> wt%) at different temperatures <i>T</i> (K) and pressures (MPa) collected from literature.<br>We have also included the Python code to reproduce some graphs from our publication in <i>Carbon</i>.<br> Kusdhany, M. I. M.; Lyth, S. M. New Insights into Hydrogen Uptake on Porous Carbon Materials via Explainable Machine Learning. <i>Carbon N. Y.</i> <b>2021</b>, <i>179</i>, 190–201. https://doi.org/10.1016/j.carbon.2021.04.036.<br><br><br>
DOI: 10.6084/m9.figshare.13727335.v1
title: Literature Dataset of Hydrogen Uptake on Porous Carbon

description: A dataset containing the textural properties (BET Surface Area, Ultramicropore Volume, Micropore Volume, Mesopore Volume, Total Pore Volume) as well as the chemical composition (C,H,O,N wt%) of various porous carbon materials as well as their corresponding hydrogen uptake at different temperatures and pressures collected from literature.
DOI: 10.5281/zenodo.5727099
title: Eupsittula canicularis SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5727098
title: Eupsittula canicularis SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5726950
title: Aeroelastic simulations of wind turbines affected by leading edge erosion: datasets for multivariate time-series classification

description: This repository contains data generated and used for classification in the publication:<br> Duthé, G.; Abdallah, I.; Barber, S.; Chatzi, E. Modeling and Monitoring Erosion of the Leading Edge of Wind Turbine Blades. <em>Energies</em> <strong>2021</strong>, <em>14</em>, 7262. https://doi.org/10.3390/en14217262 The data is generated via OpenFAST aeroelastic simulations coupled with a Non-Homogeneous Compound Poisson Process for degradation modelling and was used to train a Transformer deep learning model. One degradation run generates 1200 samples (1 sample every 6 days corresponding to a 20 year degradation period). In total 20 degradation runs are made available (20x1200 = 24'000 multivariate time-series samples). This repo can serve to benchmark long multivariate time-series classification algorithms. There are 10 possible classes of erosion severity. Each sample is a multivariate time-series of length 60'000, with the following 4 channels extracted from the simulations for a section at the tip of the blade: Inflow velocity Angle of attack Lift coefficient Drag coefficient Please see the publication above for more information as well as the included readme for information about the data and an example of how to load it into to PyTorch.
description: {"references": ["Duth\u00e9, G.; Abdallah, I.; Barber, S.; Chatzi, E. Modeling and Monitoring Erosion of the Leading Edge of Wind Turbine Blades. Energies 2021, 14, 7262. https://doi.org/10.3390/en14217262"]}
DOI: 10.5281/zenodo.5727157
title: Data for Frequency to power conversion by an electron turnstile

description: Data plotted in figures of article "Frequency to power conversion by an electron turnstile". Additional raw data and analyzing algorithms for producing them.
description: Also funded by Russian Science Fundation under grant No. 20-62-46026
DOI: 10.5281/zenodo.5526575
title: Data for Frequency to power conversion by an electron turnstile

description: Data plotted in figures of article "Frequency to power conversion by an electron turnstile". Additional raw data and analyzing algorithms for producing them.
description: Also funded by Russian Science Fundation under grant No. 20-62-46026
DOI: 10.5281/zenodo.5727118
title: High-resolution and full coverage AOD downscaling based on the bagging model over the arid and semi-arid areas, NW China

description: High-resolution and full coverage 250 m monthly AOD product over the arid and semi-arid areas, NW China. the scale factor is 1000.
DOI: 10.5281/zenodo.5727193
title: Ery nov decontaminated_gx

description: .
DOI: 10.5281/zenodo.5727192
title: Ery nov decontaminated_gx

description: .
DOI: 10.6084/m9.figshare.17081720
title: kunkeliella_species.xlsx

description: The archive contains the original genotypes of 12 microsatellite markers for the four Canarian Thesium included in Rodríguez Rodríguez et al. 2021. Evolution and conservation genetics of an insular hemiparasitic plant lineage at the limit of survival: the case of Thesium sect. Kunkeliella in the Canary Islands<br>
DOI: 10.6084/m9.figshare.17081720.v1
title: kunkeliella_species.xlsx

description: The archive contains the original genotypes of 12 microsatellite markers for the four Canarian Thesium included in Rodríguez Rodríguez et al. 2021. Evolution and conservation genetics of an insular hemiparasitic plant lineage at the limit of survival: the case of Thesium sect. Kunkeliella in the Canary Islands<br>
DOI: 10.5281/zenodo.4118378
title: Assessment and application of an alternative formula to describe the hydraulic conductivity over the full moisture range

description: This is the dataset for the manuscript entitled "Assessment and application of an alternative formula to describe the hydraulic conductivity over the full moisture range".
DOI: 10.5281/zenodo.5704592
title: Processing single-cell RNA-seq of human hematopoietic stem/progenitor cells using SingCellaR

description: 1. cellranger_output.zip : Zipped files for cellranger output 2. Code.zip: This contains the code for Step2-7 3. Human_genesets.zip: This includes the geneset signatures (.gmt) files we used in the protocol and original study (Roy et al, 2021) 4. Human_HSPC_All.SingCellaR.rdata: The SingCellaR objects generated in Step 4 on a local computer 5. meta.data.txt: meta data includes the donor and batch information
DOI: 10.5281/zenodo.5703249
title: Ansbach, Löwen-Apotheke: Schüle, Karl

description: Questionnaire/s and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Fragebogen und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/
DOI: 10.15468/g2x3qu
title: The Gyrinidae (Coleoptera) fauna of Thailand: Key to tribes and genera, with new records and keys to species of Dineutini and Gyrinini

description: This dataset contains the digitized treatments in Plazi based on the original journal article Suksai, Benjamart, Gustafson, Grey T., Sites, Robert W., Sangpradub, Narumon (2021): The Gyrinidae (Coleoptera) fauna of Thailand: Key to tribes and genera, with new records and keys to species of Dineutini and Gyrinini. Zootaxa 5071 (1): 97-117, DOI: https://doi.org/10.11646/zootaxa.5071.1.5
DOI: 10.6084/m9.figshare.17081360
title: Data_ Fig2

description: This data set belongs to the paper "Complex pathways and memory in compressed corrugated sheets" by H. Bense and M. van Hecke, published in "Proceedings of the National Academy of Sciences of the United States of America". For more information on the methodology and techniques we refer to this article and the supplemental information belonging to the article.
DOI: 10.6084/m9.figshare.17081360.v1
title: Data_ Fig2

description: This data set belongs to the paper "Complex pathways and memory in compressed corrugated sheets" by H. Bense and M. van Hecke, published in "Proceedings of the National Academy of Sciences of the United States of America". For more information on the methodology and techniques we refer to this article and the supplemental information belonging to the article.
DOI: 10.6084/m9.figshare.12058065
title: Solar wind in situ data suitable for machine learning (python numpy structured arrays): STEREO-A/B, Wind, Parker Solar Probe, Ulysses, Venus Express, MESSENGER

description: These are solar wind in situ data arrays in python pickle format suitable for machine learning, i.e. the arrays consist only of numbers, no strings and no datetime objects.<br><br>See AAREADME_insitu_ML.txt for more explanation.<br>If you use these data for peer reviewed scientific publications, please get in touch concerning usage and possible co-authorship by the authors (C. Möstl, A. J. Weiss, R. L. Bailey, R. Winslow, A. Isavnin, D. Stansby): christian.moestl@oeaw.ac.at or twitter @chrisoutofspace <br>Made with https://github.com/cmoestl/heliocats <br><br>Load in python with e.g. for Parker Solar Probe data:<br>&gt; import pickle&gt; filepsp='psp_2018_2021_sceq_ndarray.p'&gt; [psp,hpsp]=pickle.load(open(filepsp, "rb" ) ) <br>plot time vs total field&gt; import matplotlib.pyplot as plt&gt; plt.plot(psp['time'],psp['bt'])<br><br>Times psp[:,0 ] or psp['time'] are in matplotlib format. Variable 'hpsp' contains a header with the variable names and units for each column. Coordinate systems for magnetic field components are RTN (Ulysses), SCEQ (Parker Solar Probe, STEREO-A/B, VEX, MESSENGER), HEEQ (Wind)<br>available parameters:<br>bt = total magnetic fieldbxyz = magnetic field componentsvt = total proton speedvxyz = velocity components (only for PSP)np = proton densitytp = proton temperaturexyz = spacecraft position in HEEQr, lat, lon = spherical coordinates of position in HEEQ<br><br><br><br>
DOI: 10.6084/m9.figshare.12058065.v9
title: Solar wind in situ data suitable for machine learning (python numpy structured arrays): STEREO-A/B, Wind, Parker Solar Probe, Ulysses, Venus Express, MESSENGER

description: These are solar wind in situ data arrays in python pickle format suitable for machine learning, i.e. the arrays consist only of numbers, no strings and no datetime objects.<br><br>See AAREADME_insitu_ML.txt for more explanation.<br>If you use these data for peer reviewed scientific publications, please get in touch concerning usage and possible co-authorship by the authors (C. Möstl, A. J. Weiss, R. L. Bailey, R. Winslow, A. Isavnin, D. Stansby): christian.moestl@oeaw.ac.at or twitter @chrisoutofspace <br>Made with https://github.com/cmoestl/heliocats <br><br>Load in python with e.g. for Parker Solar Probe data:<br>&gt; import pickle&gt; filepsp='psp_2018_2021_sceq_ndarray.p'&gt; [psp,hpsp]=pickle.load(open(filepsp, "rb" ) ) <br>plot time vs total field&gt; import matplotlib.pyplot as plt&gt; plt.plot(psp['time'],psp['bt'])<br><br>Times psp[:,0 ] or psp['time'] are in matplotlib format. Variable 'hpsp' contains a header with the variable names and units for each column. Coordinate systems for magnetic field components are RTN (Ulysses), SCEQ (Parker Solar Probe, STEREO-A/B, VEX, MESSENGER), HEEQ (Wind)<br>available parameters:<br>bt = total magnetic fieldbxyz = magnetic field componentsvt = total proton speedvxyz = velocity components (only for PSP)np = proton densitytp = proton temperaturexyz = spacecraft position in HEEQr, lat, lon = spherical coordinates of position in HEEQ<br><br><br><br>
DOI: 10.6084/m9.figshare.17081363.v1
title: Data_Fig1

description: This data set belongs to the paper "Complex pathways and memory in compressed corrugated sheets" by H. Bense and M. van Hecke, published in "Proceedings of the National Academy of Sciences of the United States of America". For more information on the methodology and techniques we refer to this article and the supplemental information belonging to the article.
DOI: 10.6084/m9.figshare.17081363
title: Data_Fig1

description: This data set belongs to the paper "Complex pathways and memory in compressed corrugated sheets" by H. Bense and M. van Hecke, published in "Proceedings of the National Academy of Sciences of the United States of America". For more information on the methodology and techniques we refer to this article and the supplemental information belonging to the article.
DOI: 10.6084/m9.figshare.17081375
title: Data_fig4

description: This data set belongs to the paper "Complex pathways and memory in compressed corrugated sheets" by H. Bense and M. van Hecke, published in "Proceedings of the National Academy of Sciences of the United States of America". For more information on the methodology and techniques we refer to this article and the supplemental information belonging to the article.
DOI: 10.6084/m9.figshare.17081375.v1
title: Data_fig4

description: This data set belongs to the paper "Complex pathways and memory in compressed corrugated sheets" by H. Bense and M. van Hecke, published in "Proceedings of the National Academy of Sciences of the United States of America". For more information on the methodology and techniques we refer to this article and the supplemental information belonging to the article.
DOI: 10.6084/m9.figshare.17081378
title: Data_fig5

description: This data set belongs to the paper "Complex pathways and memory in compressed corrugated sheets" by H. Bense and M. van Hecke, published in "Proceedings of the National Academy of Sciences of the United States of America". For more information on the methodology and techniques we refer to this article and the supplemental information belonging to the article.
DOI: 10.6084/m9.figshare.17081378.v1
title: Data_fig5

description: This data set belongs to the paper "Complex pathways and memory in compressed corrugated sheets" by H. Bense and M. van Hecke, published in "Proceedings of the National Academy of Sciences of the United States of America". For more information on the methodology and techniques we refer to this article and the supplemental information belonging to the article.
DOI: 10.15468/p4ehvf
title: Atelidae

description: This dataset contains the digitized treatments in Plazi based on the original book chapter Russell A. Mittermeier, Anthony B. Rylands, Don E. Wilson (2013): Atelidae. In: Handbook of the Mammals of the World – Volume 3 Primates. Barcelona: Lynx Edicions: 484-549, DOI: http://doi.org/10.5281/zenodo.5727205
DOI: 10.6084/m9.figshare.17081381
title: Data_fig6

description: This data set belongs to the paper "Complex pathways and memory in compressed corrugated sheets" by H. Bense and M. van Hecke, published in "Proceedings of the National Academy of Sciences of the United States of America". For more information on the methodology and techniques we refer to this article and the supplemental information belonging to the article.
DOI: 10.6084/m9.figshare.17081381.v1
title: Data_fig6

description: This data set belongs to the paper "Complex pathways and memory in compressed corrugated sheets" by H. Bense and M. van Hecke, published in "Proceedings of the National Academy of Sciences of the United States of America". For more information on the methodology and techniques we refer to this article and the supplemental information belonging to the article.
DOI: 10.5523/bris.1eyr9knffaxwj1z7m03pcqzliq
title: Nature benefits revisited: likeability

description: Despite a wealth of literature on the beneficial effects of nature on human well-being, their underlying relationship has remained largely intractable to scientific study. In this study, we establish a relationship between liking and cognitive load for nature and urban visual scenes, using human gait kinematics as a measure for cognitive load. Data include 3D motion capture data of human gait and behavioural data. Burtan D, Burn JF, Leonards U (2021). Nature benefits revisited: Differences in gait kinematics between nature and urban images disappear when image types are controlled for likeability. PLoS ONE 16(8): e0256635. https://doi.org/10.1371/journal.pone.0256635
DOI: 10.5281/zenodo.4525509
title: Yes associated protein 1 (YAP1) is a novel calcium sensing receptor target in human parathyroid tumors

description: Raw data Yes associated protein 1 (YAP) is a novel calcium sensing receptor target in human parathyroid tumors
DOI: 10.5281/zenodo.4525508
title: Yes associated protein 1 (YAP1) is a novel calcium sensing receptor target in human parathyroid tumors

description: Raw data Yes associated protein 1 (YAP) is a novel calcium sensing receptor target in human parathyroid tumors
DOI: 10.5281/zenodo.5727357
title: Düsseldorf, Apotheke am Dreieck: Mehren, Johann u. Margrit

description: Questionnaire/s and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Fragebogen und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/ DE-611-HS-3363236 Please note, that this questionnaire is accompanied by extensive material which cannot be published online due to copyright or other legal restrictions. These sources are described in detail in the Kalliope catalogue entry. (Nota bene: Zu diesem Fragebogen existiert umfangreiches Begleitmaterial, das aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht wird. Diese Anlagen sind im Nachlassportal Kalliope näher beschrieben).
DOI: 10.25502/ngky-3v98/d
title: TAAT beneficiaries reached - Seed Dissemination

description: The Technologies for African Agricultural Transformation (TAAT) is a program initiated by the African Development Bank (AfDB) as part of its Feed Africa Initiative. The main objective of the program is to improve the business of agriculture across Africa by raising agricultural productivity, mitigating risks and promoting diversification and processing in 18 agricultural value chains within eight Priority Intervention Areas (PIA). The program is implemented by IITA in close partnership with other CGIAR Centers and specialized technical centers (e.g. AATF, IFDC), FARA, national agricultural research and extension systems and private sector partners. TAAT is not a research program; it is an initiative to promote and disseminate proven high-performance food production technologies to millions of farmers in a commercially sustainable way through a network of people and institutions forming a Regional Technology Delivery Infrastructure (RTDI) within an enabling environment.
DOI: 10.5281/zenodo.5727339
title: Düsseldorf, Apotheke am Dreieck: Mehren, Johann u. Margrit

description: Questionnaire/s and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Fragebogen und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/ DE-611-HS-3363236 Please note, that this questionnaire is accompanied by extensive material which cannot be published online due to copyright or other legal restrictions. These sources are described in detail in the Kalliope catalogue entry. (Nota bene: Zu diesem Fragebogen existiert umfangreiches Begleitmaterial, das aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht wird. Diese Anlagen sind im Nachlassportal Kalliope näher beschrieben).
DOI: 10.34740/kaggle/dsv/2851759
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.5520046
title: Decarbonizing primary steel production : Techno-economic assessment of green steel production in Norway

description: Python codes for the modelling of a grid connected Hydrogen direct reduced plant combined with an electrical arc furnace for steel production.
DOI: 10.5281/zenodo.5718422
title: Düsseldorf, Apotheke am Dreieck: Mehren, Johann u. Margrit

description: Questionnaire/s and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Fragebogen und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/
DOI: 10.6084/m9.figshare.17081831
title: SI Movies

description: This data set belongs to the paper "Complex pathways and memory in compressed corrugated sheets" by H. Bense and M. van Hecke, published in "Proceedings of the National Academy of Sciences of the United States of America". For more information on the methodology and techniques we refer to this article and the supplemental information belonging to the article.
DOI: 10.6084/m9.figshare.17081831.v1
title: SI Movies

description: This data set belongs to the paper "Complex pathways and memory in compressed corrugated sheets" by H. Bense and M. van Hecke, published in "Proceedings of the National Academy of Sciences of the United States of America". For more information on the methodology and techniques we refer to this article and the supplemental information belonging to the article.
DOI: 10.5281/zenodo.5727372
title: example Dataset for OMERO upload issue

description: example Dataset for OMERO upload issue just a couple of images with one channel in the middle of the plate.
DOI: 10.5281/zenodo.5709894
title: example Dataset for OMERO upload issue

description: example Dataset for OMERO upload issue just a couple of images with one channel in the middle of the plate.
DOI: 10.6084/m9.figshare.16601402.v1
title: PubMed classification v1 202102

description: PMID_cluster_relation_[date].csv contains the relation between PMIDs and clusters. Four levels are included:Level 1 - Topics - Most granularLevel 2 - SpecialtiesLevel 3 - DisciplinesLevel 4 - Discipline group - Most coarse<br>For each level there is a table with labels (e.g. labels_lev1_[date].csv), related by an id (e.g lev1_cluster_id).<br>See the figshare collection for further description.https://figshare.com/account/collections/5610971<br>