cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21258/1751695
title: Swiss national forest inventory - Result table No. 891870
DOI: 10.21258/1745509
title: Swiss national forest inventory - Result table No. 898884
DOI: 10.34740/kaggle/dsv/1778189
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.25345/c5r795
title: MassIVE MSV000086636 - MudPIT analyses of the proteins co-purified with RAP01-HA, RAP14-HA, and negative controls from late asexual Plasmodium falciparum parasites
title: HA-affinity purification - Purified late asexual parasites from parental and HA-tagged PF3D7_0105200 (RAP01-HA) and PF3D7_1470600 (RAP14-HA) lines were suspended in 50 mM Tris-HCl pH 7.5, 150 mM NaCl, 5 mM EDTA, 1 % Triton X-100, 1 mM AEBSF and EDTA-free protease inhibitor cocktail (Roche). After lysis by passing through a 26G needle 25 times, the soluble extracts were treated with 100 units of DNase I (NEB) for 10 min at room temperature and centrifuged at 14,000g for 15 min at 4C. The lysates were precleared with Dynabeads Protein A (Invitrogen) for 1h at 4C. The Rb anti-HA antibody (1:100, Abcam ab9110) was added in each sample and incubated overnight at 4C. Dynabeads Protein A were used to precipitate antibody-protein complexes and were washed with buffer A (1 % Triton X-100, 1 mM EDTA in PBS), buffer B (wash buffer A, 0.5 M NaCl) and buffer C (1 mM EDTA in PBS). Proteins were eluted using 0.1 M glycine, pH 2.8, and neutralized using 2 M Tris-HCl, pH 8.0. Then proteins were precipitated in 20% TCA followed by cold acetone washes. Multidimensional Protein Identification Technology - TCA-precipitated proteins were urea-denatured, reduced, alkylated, and digested with endoproteinase Lys-C (Roche) followed by modified trypsin (Promega). Peptide mixtures were loaded onto 100-um fused silica microcapillary columns packed with 5-um C18 reverse phase (Aqua, Phenomenex), strong cation exchange resin (Luna, Phenomenex), and 5-um C18 Aqua. Loaded microcapillary columns were placed in-line with a Quaternary Agilent 1100 series HPLC pump and a LTQ linear ion trap mass spectrometer equipped with a nano-LC electrospray ionization source (ThermoScientific, San Jose, CA). Fully automated 11-step MudPIT runs were carried out on the electrosprayed peptides. Tandem mass (MS/MS) spectra were interpreted using ProluCID against a database consisting of 5527 non-redundant (NR) Plasmodium falciparum 3D7 proteins (PlasmoDB-42 release), 36661 NR human proteins (NCBI, 2018-03-30 release), 419 usual contaminants (human keratins, IgGs, and proteolytic enzymes). To estimate false discovery rates (FDRs), the amino acid sequence of each NR protein entry was randomized, which resulted in a total search space of 85246 NR sequences. All cysteines were considered as fully carboxamidomethylated (+57 Da statically added), while methionine oxidation was searched as a differential modification. DTASelect and swallow, an in-house developed software (v.0.0.1, https://github.com/tzw-wen/kite), were used to filter ProLuCID search results at given FDRs at the spectrum, peptide, and protein levels. Here, all controlled FDRs were less than 1.2%. Three immunoprecipitations were performed each for RAP01-HA and RAP14-HA along with 4 negative controls experiments.
DOI: 10.21258/1749789
title: Swiss national forest inventory - Result table No. 891740
DOI: 10.21258/1729847
title: Swiss national forest inventory - Result table No. 899009
DOI: 10.5281/zenodo.4388386
title: Wikidata Dump WD_20201223_q5

description: RDF dump of wikidata produced with wdumps. Wikidata dump containing all instances (P31) of Q5 (person)<br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.4388385
title: Wikidata Dump WD_20201223_q5

description: RDF dump of wikidata produced with wdumps. Wikidata dump containing all instances (P31) of Q5 (person)<br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.21258/1763696
title: Swiss national forest inventory - Result table No. 897045
DOI: 10.5281/zenodo.3972340
title: Fitness to Steady State vs Boolean Model Performance for AGS cell line

description: For the investigation/analysis based on this dataset, see this report: https://druglogics.github.io/gitsbe-model-analysis/cascade/fit-perf-ags/main.html
DOI: 10.5281/zenodo.3877492
title: Fitness to Steady State vs Boolean Model Performance for AGS cell line

description: For the investigation/analysis based on this dataset, see this report: https://druglogics.github.io/gitsbe-model-analysis/cascade/fit-perf-ags/main.html
DOI: 10.5281/zenodo.4022801
title: Rbbt SINTEF workflow bliss and hsa task results

description: The two datasets have the results of <strong>rbbt's</strong> <strong>SINTEF</strong> workflow tasks <strong>bliss</strong> and <strong>hsa </strong>and the rbbt docker image used for the analysis. See the analysis results of the SINTEF dataset (Flobak et. al 2019) in: https://druglogics.github.io/sintef-obs-synergies/
description: Funding acknowledgements: - ERACoSysMed - NTNU Helse
description: {"references": ["Flobak, \u00c5., Niederdorfer, B., Nakstad, V.T. et al. A high-throughput drug combination screen of targeted small molecule inhibitors in cancer cell lines. Sci Data 6, 237 (2019). https://doi.org/10.1038/s41597-019-0255-7"]}
DOI: 10.5281/zenodo.3666229
title: Rbbt SINTEF workflow bliss and hsa task results

description: The two datasets have the results of <strong>rbbt's</strong> <strong>SINTEF</strong> workflow tasks <strong>bliss</strong> and <strong>hsa </strong>and the rbbt docker image used for the analysis. See the analysis results of the SINTEF dataset (Flobak et. al 2019) in: https://druglogics.github.io/sintef-obs-synergies/
description: Funding acknowledgements: - ERACoSysMed - NTNU Helse
description: {"references": ["Flobak, \u00c5., Niederdorfer, B., Nakstad, V.T. et al. A high-throughput drug combination screen of targeted small molecule inhibitors in cancer cell lines. Sci Data 6, 237 (2019). https://doi.org/10.1038/s41597-019-0255-7"]}
DOI: 10.5281/zenodo.3520658
title: Steady states using PARADIGM for 8 cell lines from CCLE

description: This dataset has the input data + result dataset (steady states per cell line) that was the product of using the CLSS rbbt workflow (that uses the PARADIGM tool) for 8 cell lines from CCLE. A CASCADE-derived pathway file was used as input for PARADIGM.
description: Funding acknowledgements: - ERACoSysMed - NTNU Helse
DOI: 10.5281/zenodo.3520657
title: Steady states using PARADIGM for 8 cell lines from CCLE

description: This dataset has the input data + result dataset (steady states per cell line) that was the product of using the CLSS rbbt workflow (that uses the PARADIGM tool) for 8 cell lines from CCLE. A CASCADE-derived pathway file was used as input for PARADIGM.
description: Funding acknowledgements: - ERACoSysMed - NTNU Helse
DOI: 10.5281/zenodo.3520699
title: ROC_all SINTEF workflow results with CASCADE topology

description: This dataset has the input data + result dataset that was the product of using the <strong>DrugLogics</strong> computational pipeline with the <strong>rbbt</strong> workflow system to predict synergistic drug combinations across 8 cell lines that were also tested in SINTEF. The <strong>CASCADE topology</strong> was used and the logical models were trained to a <strong>steady state activity profile </strong>that was derived using the <strong>PARADIGM tool</strong> and input from the<strong> CCLE</strong>.
DOI: 10.5281/zenodo.3520698
title: ROC_all SINTEF workflow results with CASCADE topology

description: This dataset has the input data + result dataset that was the product of using the <strong>DrugLogics</strong> computational pipeline with the <strong>rbbt</strong> workflow system to predict synergistic drug combinations across 8 cell lines that were also tested in SINTEF. The <strong>CASCADE topology</strong> was used and the logical models were trained to a <strong>steady state activity profile </strong>that was derived using the <strong>PARADIGM tool</strong> and input from the<strong> CCLE</strong>.
DOI: 10.5281/zenodo.3520743
title: ROC_all SINTEF workflow results with Atopo topology

description: This dataset has the input data + result dataset that was the product of using the <strong>DrugLogics</strong> computational pipeline with the <strong>rbbt</strong> workflow system to predict synergistic drug combinations across 8 cell lines that were also tested in SINTEF. <strong>An automated generated Signor-based topology</strong> was used and the logical models were trained to a <strong>steady state activity profile </strong>that was derived using the <strong>PARADIGM tool</strong> and input from the<strong> CCLE</strong>.
DOI: 10.5281/zenodo.3520742
title: ROC_all SINTEF workflow results with Atopo topology

description: This dataset has the input data + result dataset that was the product of using the <strong>DrugLogics</strong> computational pipeline with the <strong>rbbt</strong> workflow system to predict synergistic drug combinations across 8 cell lines that were also tested in SINTEF. <strong>An automated generated Signor-based topology</strong> was used and the logical models were trained to a <strong>steady state activity profile </strong>that was derived using the <strong>PARADIGM tool</strong> and input from the<strong> CCLE</strong>.
DOI: 10.5281/zenodo.3497553
title: ROC_all SINTEF workflow results with consensus steady state from CCLE

description: This dataset has the input data + result dataset that was the product of using the <strong>DrugLogics</strong> computational pipeline with the <strong>rbbt</strong> workflow system to predict synergistic drug combinations across 8 cell lines that were also tested in SINTEF. The <strong>atopo topology</strong> was used and the logical models were trained to a <strong>consensus steady state derived from ~1000 cell lines from CCLE</strong>.
description: Funding acknowledgements: - ERACoSysMed - NTNU Helse
DOI: 10.5281/zenodo.3497552
title: ROC_all SINTEF workflow results with consensus steady state from CCLE

description: This dataset has the input data + result dataset that was the product of using the <strong>DrugLogics</strong> computational pipeline with the <strong>rbbt</strong> workflow system to predict synergistic drug combinations across 8 cell lines that were also tested in SINTEF. The <strong>atopo topology</strong> was used and the logical models were trained to a <strong>consensus steady state derived from ~1000 cell lines from CCLE</strong>.
description: Funding acknowledgements: - ERACoSysMed - NTNU Helse
DOI: 10.21258/1746723
title: Swiss national forest inventory - Result table No. 897170
DOI: 10.17632/ztkd2x5f5x.1
title: Data for: The effect of polymer concentration on thermophysical, structural and mechanical properties of siloxane-infiltrated silica ceramics
DOI: 10.21258/1766879
title: Swiss national forest inventory - Result table No. 891885
DOI: 10.21258/1738375
title: Swiss national forest inventory - Result table No. 898806
DOI: 10.21258/1728677
title: Swiss national forest inventory - Result table No. 899100
DOI: 10.5281/zenodo.4392981
title: Link-operator parameterized boolean models from scale-free topologies

description: See analysis on this dataset here: https://druglogics.github.io/brf-bias/random-scale-free-networks-analysis.html
DOI: 10.5281/zenodo.4392980
title: Link-operator parameterized boolean models from scale-free topologies

description: See analysis on this dataset here: https://druglogics.github.io/brf-bias/random-scale-free-networks-analysis.html
DOI: 10.21258/1766524
title: Swiss national forest inventory - Result table No. 897049
DOI: 10.21258/1758963
title: Swiss national forest inventory - Result table No. 892933
DOI: 10.7303/syn23593358
title: Data resource for manuscript - Cell-to-cell adhesion and neurogenesis in human cortical development: a study comparing 2D monolayers with 3D organoid cultures
DOI: 10.21258/1730146
title: Swiss national forest inventory - Result table No. 891761
DOI: 10.21258/1723562
title: Swiss national forest inventory - Result table No. 899320
DOI: 10.21258/1755843
title: Swiss national forest inventory - Result table No. 902149
DOI: 10.21258/1765779
title: Swiss national forest inventory - Result table No. 902273
DOI: 10.21258/1763371
title: Swiss national forest inventory - Result table No. 902169
DOI: 10.21258/1730263
title: Swiss national forest inventory - Result table No. 897658
DOI: 10.21258/1726021
title: Swiss national forest inventory - Result table No. 896952
DOI: 10.21258/1768217
title: Swiss national forest inventory - Result table No. 898906
DOI: 10.21258/1757518
title: Swiss national forest inventory - Result table No. 899291
DOI: 10.21258/1737288
title: Swiss national forest inventory - Result table No. 891804
DOI: 10.21258/1752442
title: Swiss national forest inventory - Result table No. 899210
DOI: 10.21258/1724004
title: Swiss national forest inventory - Result table No. 891730
DOI: 10.21258/1747299
title: Swiss national forest inventory - Result table No. 897058
DOI: 10.21258/1753945
title: Swiss national forest inventory - Result table No. 897214
DOI: 10.21258/1752812
title: Swiss national forest inventory - Result table No. 897292
DOI: 10.21258/1767115
title: Swiss national forest inventory - Result table No. 897025
DOI: 10.21258/1733446
title: Swiss national forest inventory - Result table No. 899010
DOI: 10.21258/1736990
title: Swiss national forest inventory - Result table No. 892996
DOI: 10.21258/1750887
title: Swiss national forest inventory - Result table No. 899021
DOI: 10.21258/1752158
title: Swiss national forest inventory - Result table No. 891707
DOI: 10.21258/1739318
title: Swiss national forest inventory - Result table No. 898563
DOI: 10.21258/1728615
title: Swiss national forest inventory - Result table No. 898106
DOI: 10.21258/1729950
title: Swiss national forest inventory - Result table No. 898819
DOI: 10.6084/m9.figshare.13147324.v2
title: QMOF Database

description: This repository hosts the Quantum MOF (QMOF) database – a dataset of quantum-chemical properties for over 14,000 metal–organic framework structures.<br>Please refer to the following GitHub repository for a description of the files hosted here, supplemental scripts, and other related information:https://github.com/arosen93/QMOF.<br>If you are looking to download any of these files to a compute cluster, you can avoid transferring them from your local machine by instead: 1) right-clicking the "download" link for the file you want; 2) selecting "copy link"; 3) running `wget https://ndownloader.figshare.com/files/######` (where this is the copied link) on the computer cluster; 4) after it downloads, renaming the file with the appropriate extension and unpacking it as usual.<br>The pre-print corresponding to this work can be found at: https://doi.org/10.26434/chemrxiv.13147616.<br>This work was supported in part by the U.S. Department of Energy, Office of Basic Energy Sciences, Division of Chemical Sciences, Geosciences and Biosciences through the Nanoporous Materials Genome Center under Award Number DE-FG02-17ER16362.
DOI: 10.21258/1757465
title: Swiss national forest inventory - Result table No. 898758
DOI: 10.21258/1762756
title: Swiss national forest inventory - Result table No. 897953
DOI: 10.21258/1748891
title: Swiss national forest inventory - Result table No. 898350
DOI: 10.21258/1745548
title: Swiss national forest inventory - Result table No. 899368
DOI: 10.21258/1726535
title: Swiss national forest inventory - Result table No. 893426
DOI: 10.21258/1742806
title: Swiss national forest inventory - Result table No. 898242
DOI: 10.21258/1747095
title: Swiss national forest inventory - Result table No. 899434
DOI: 10.21258/1735562
title: Swiss national forest inventory - Result table No. 898856
DOI: 10.21258/1750234
title: Swiss national forest inventory - Result table No. 891846
DOI: 10.21258/1759178
title: Swiss national forest inventory - Result table No. 898474
DOI: 10.21258/1733014
title: Swiss national forest inventory - Result table No. 899138
DOI: 10.21258/1745009
title: Swiss national forest inventory - Result table No. 897563
DOI: 10.21258/1761535
title: Swiss national forest inventory - Result table No. 891993
DOI: 10.21258/1723800
title: Swiss national forest inventory - Result table No. 897692
DOI: 10.21258/1769339
title: Swiss national forest inventory - Result table No. 891760
DOI: 10.21258/1752540
title: Swiss national forest inventory - Result table No. 891677
DOI: 10.21258/1768478
title: Swiss national forest inventory - Result table No. 896978
DOI: 10.21258/1738613
title: Swiss national forest inventory - Result table No. 892949
DOI: 10.21258/1723474
title: Swiss national forest inventory - Result table No. 897444
DOI: 10.21258/1726335
title: Swiss national forest inventory - Result table No. 892014
DOI: 10.21258/1763299
title: Swiss national forest inventory - Result table No. 899583
DOI: 10.21258/1756223
title: Swiss national forest inventory - Result table No. 897355
DOI: 10.21258/1735169
title: Swiss national forest inventory - Result table No. 897564
DOI: 10.21258/1769181
title: Swiss national forest inventory - Result table No. 891768
DOI: 10.21258/1766454
title: Swiss national forest inventory - Result table No. 898895
DOI: 10.21258/1760738
title: Swiss national forest inventory - Result table No. 898081
DOI: 10.21258/1736822
title: Swiss national forest inventory - Result table No. 898564
DOI: 10.21258/1768921
title: Swiss national forest inventory - Result table No. 897111
DOI: 10.21258/1751001
title: Swiss national forest inventory - Result table No. 897371
DOI: 10.21258/1738911
title: Swiss national forest inventory - Result table No. 893053
DOI: 10.21258/1745827
title: Swiss national forest inventory - Result table No. 891670
DOI: 10.21258/1747014
title: Swiss national forest inventory - Result table No. 899157
DOI: 10.25919/vnrj-hn59
title: Parkes observations for project P1061 semester 2020OCTS_02

description: Fast Radio Bursts (FRBs) have extremely high brightness temperature, owing to their short-duration and prominent flux from the distant universe. The studies on emission mechanism of FRBs have met bottleneck for a long time unless a complete spectrum is measured. We propose to observe a new repeating FRB source, FRB 180301, using the Parkes ultra-wide-bandwidth receiver (UWL). This source was initially found by Parkes multibeam receivers and confirmed repetition by the FAST telescope. The source is still active until Jun 2020 from FAST follow-ups. It’s an ideal opportunity to capture comprehensive spectral information using the Parkes UWL. We demonstrate that the beam coverage is feasible and 30-hr observations are required for at least one detection.
DOI: 10.21258/1724863
title: Swiss national forest inventory - Result table No. 891827
DOI: 10.21258/1747001
title: Swiss national forest inventory - Result table No. 899185
DOI: 10.21258/1762998
title: Swiss national forest inventory - Result table No. 899307
DOI: 10.21258/1725606
title: Swiss national forest inventory - Result table No. 891936
DOI: 10.21258/1767775
title: Swiss national forest inventory - Result table No. 891663
DOI: 10.21258/1758981
title: Swiss national forest inventory - Result table No. 897219
DOI: 10.21258/1766972
title: Swiss national forest inventory - Result table No. 898896
DOI: 10.21258/1731490
title: Swiss national forest inventory - Result table No. 892073
DOI: 10.21258/1735378
title: Swiss national forest inventory - Result table No. 898952
DOI: 10.21258/1753024
title: Swiss national forest inventory - Result table No. 891691
DOI: 10.21258/1742833
title: Swiss national forest inventory - Result table No. 898222
DOI: 10.21258/1730384
title: Swiss national forest inventory - Result table No. 891817
DOI: 10.21258/1755642
title: Swiss national forest inventory - Result table No. 902261
DOI: 10.21258/1758311
title: Swiss national forest inventory - Result table No. 897887
DOI: 10.21258/1724278
title: Swiss national forest inventory - Result table No. 897164
DOI: 10.21258/1760719
title: Swiss national forest inventory - Result table No. 893449
DOI: 10.21258/1739447
title: Swiss national forest inventory - Result table No. 899264
DOI: 10.6084/m9.figshare.7429109.v2
title: caregiver burden, time of caring and dependence

description: The sample is 135 informal caregivers, some of them take care more than one dependent person. Data was collected between 2014-2016.
DOI: 10.21258/1754094
title: Swiss national forest inventory - Result table No. 891859
DOI: 10.21258/1753704
title: Swiss national forest inventory - Result table No. 899608
DOI: 10.21258/1764380
title: Swiss national forest inventory - Result table No. 891673
DOI: 10.21258/1766705
title: Swiss national forest inventory - Result table No. 902291
DOI: 10.21258/1745520
title: Swiss national forest inventory - Result table No. 891962
DOI: 10.21258/1746132
title: Swiss national forest inventory - Result table No. 897098
DOI: 10.21258/1742600
title: Swiss national forest inventory - Result table No. 898343
DOI: 10.5519/qd.p3okwbo5
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1001 records)
DOI: 10.21258/1729275
title: Swiss national forest inventory - Result table No. 891799
DOI: 10.21258/1723484
title: Swiss national forest inventory - Result table No. 898103
DOI: 10.21258/1729700
title: Swiss national forest inventory - Result table No. 891913
DOI: 10.21258/1762406
title: Swiss national forest inventory - Result table No. 899489
DOI: 10.21258/1761289
title: Swiss national forest inventory - Result table No. 898085
DOI: 10.21258/1765012
title: Swiss national forest inventory - Result table No. 902118
DOI: 10.21258/1747935
title: Swiss national forest inventory - Result table No. 899328
DOI: 10.21258/1725575
title: Swiss national forest inventory - Result table No. 892950
DOI: 10.21258/1724876
title: Swiss national forest inventory - Result table No. 892079
DOI: 10.21227/h9ba-sf59
title: Physical parameter-based S parameters

description: In this work, physical parameter‐based modeling of small signal parameters for a metal‐semiconductor field‐effect transistor (MESFET) has been carried out as continuous functions of drain voltage, gate voltage, frequency, and gate width. For this purpose, a device simulator has been used to generate a big dataset of which the physical device parameters included material type, doping concentration and profile, contact type, gate length, gate width, and work function. Five state‐of‐the‐art algorithms: multi‐layer perceptron (MLP), IBk, K*, Bagging, and REPTree have been used for creating a regression model. The symbolic regression algorithm has been used to obtain analytical expressions of the real and imaginary parts of the Scattering (S) parameters using the physics‐based generated dataset. The regression performances of all the benchmarks and the symbolic regression have been compared to references from the device simulator results. The results of the derived equations and the best algorithms have been then compared to the device simulator results, with case studies for validation. The DC performance characteristics of the MESFET have been also obtained. The proposed model can be used to predict the small signal parameters of new devices prior to development, and allows for both the device and circuit to be optimized for specific applications.