cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/sg82wkgmxr.1
title: Pleistocene vertebrate trace fossils from the Cape south coast of South Africa

description: Three databases document the findings of the Cape south coast ichnology project, through which 326 vertebrate ichnosites have been identified: a photo database, a photogrammetry database and a locality database.
DOI: 10.17632/rz4vsr89pz.1
title: A MODULAR, AUTOMATIC, MODAL IMPACT HAMMER - EXPERIMENTAL VALIDATION

description: Raw and calculated data from the repeatbility, single impact and force adjustment testing of the devloped automatic impact hammer at the University of Technology vibration lab. UTS required a hammer greater than the SAM-1 by NV tech that could measure force reposnses greater than 200N. The developed hammer uses a manual hammer in place of a connected arm that clamps into a rotor connected to the motor, allowing the hammer arm to be fully interchangeable depending on the hammer required for experimentation. The following data was conducted using the B & K 8206 hammer and measured against a test piece of steel.

Impact hammer testing was conducted on a test block made of steel. Results were measured using the Keysight InfinilVision DSOX2004A Digital storage oscilloscope. To ensure that the signal was optimal for data processing a signal conditioner was connected between the two. The 4114B1 Dytran model was used. Velocity of hammer swing was the only factor changed throughout testing signified by eith 9000, 30000, 100000.

The data set contains both raw data and calculated data, at different velocities. also contains comparison with the NV Tech Sam1 hammer (only in the form of PNG files). 

Developed Hammer aka AMI (Yellow)
SAM-1 by NV Tech aka SAM (Blue)
DOI: 10.17632/cg38s35c8d.1
title: Acousto-optic figure of merit of KREW crystals

description: The dataset includes calculated acousto-optic figure of merit M2 values for isotropic small-angle Bragg diffraction in monoclinic potassium rare-earth tungstate (KREW) crystals: 
KGW (potassium gadolinium tungstate, KGd(WO4)2), 
KYW (potassium yttrium tungstate, KY(WO4)2), and 
KLW (potassium lutetium tungstate, KLu(WO4)2). 
Each data file "KXW_AB.dat" and figure file "KXW_M2_AB.fig" corresponds to A-th acosutic mode index (1,2, or 3) and B-th optical mode index (1 or 2) of the crystal. Calculated M2 values are the maxima over all possible optical wave vector directions orthogonal to the given acoustic wave vector. Data table rows inlude Euler angles for the acosutic wave vector phi (column 1) and theta (column 2) expressed in degrees, figure of merit M2 (column 3) expressed in 1e-15 s^3/g, refractive index (column 4), and the rotation angle defining optical wave vector direction (column 5).
DOI: 10.17632/cg38s35c8d.2
title: Acousto-optic figure of merit of KREW crystals

description: The dataset includes calculated acousto-optic figure of merit M2 values for isotropic small-angle Bragg diffraction in monoclinic potassium rare-earth tungstate (KREW) crystals: 
KGW (potassium gadolinium tungstate, KGd(WO4)2), 
KYW (potassium yttrium tungstate, KY(WO4)2), and 
KLW (potassium lutetium tungstate, KLu(WO4)2). 
Each data file "KXW_AB.dat" and figure file "KXW_M2_AB.fig" corresponds to A-th acosutic mode index (1,2, or 3) and B-th optical mode index (1 or 2) of the crystal. Calculated M2 values are the maxima over all possible optical wave vector directions orthogonal to the given acoustic wave vector. Data table rows inlude Euler angles for the acosutic wave vector phi (column 1) and theta (column 2) expressed in degrees, figure of merit M2 (column 3) expressed in 1e-15 s^3/g, refractive index (column 4), and the rotation angle defining optical wave vector direction (column 5).
DOI: 10.17632/mky7757m55.1
title: "Environmental Optimization of the Charge of Battery Electric Vehicles": Code and supplementary data

description: This dataset contains interactive HTML files for all figures that have been created as such.
Furthermore, JupyterNoteboocks and relevant input datasets are provided that allow to reproduce all results of the year 2019. Input data for the other years are not publicly available.
In addition, JupyterNoteboocks and data are provided to reproduce all figures of the paper.
DOI: 10.17632/n7rnh94b53.1
title: MCC SEER

description: Drivers of Overall Mortality in Merkel Cell Carcinoma: A Population-Based Analysis
DOI: 10.17632/n7rnh94b53.2
title: MCC SEER Supplement

description: Drivers of Overall Mortality in Merkel Cell Carcinoma: A Population-Based Analysis
DOI: 10.17632/3hyw3f7v32.1
title: TAUOLA update for decay channels with e+e− pairs in the final state

description: With the arrival of high luminosity B-factories like the Belle II experiment, τ decay measurements have become more precise than ever, allowing rarer processes to be explored, and finer details of τ decays to be studied. These are important to understand the spectrum of intermediate particles produced in τ decays. Therefore Monte Carlo generators, like the TAUOLA program, have to facilitate precision analysis as well as confront new models that constantly emerge with the availability of high statistics experimental data. New decay channels and models may lead to large variation of matrix elements size within the available phase space, as in the case when e+e- pairs are present in final state. It requires appropriate presampler of the phase space generator and a proper documentation to help users introduce their own models. While releasing a new update, it is important for the TAUOLA Monte Carlo library to maintain the general structure of the previous versions to preserve backward compatibility. The aim is to minimize changes from the user perspective. This paper presents a demonstration of new models implementation facilitated by the current update.
DOI: 10.17632/nyj5mxk5yh.1
title: Success rate of transcranial Doppler scanning of cerebral arteries at different transtemporal windows in healthy elderly individuals 

description: This study measured the success rates of applying transcranial Doppler (TCD) scanning at Middle, Posterior, and Anterior temporal windows (MTW, PTW & ATW) in the elderly subjects. A hand-held 1.6-MHz pulsed-wave TCD transducer was used to search for flow signals from cerebral arteries at MTW, PTW, and ATW locations. Physical attributes of the head, including head circumference and the distance between tragus (‘tragus-to-tragus arc length’), were also measured for exploring the associations with successful rate.
DOI: 10.17632/nyj5mxk5yh.2
title: Dataset: Success rate of transcranial Doppler scanning of cerebral arteries at different transtemporal windows in healthy elderly individuals 

description: This dataset contains the success rates of applying transcranial Doppler (TCD) scanning using a hand-held 1.6-MHz pulsed-wave TCD transducer at Middle, Posterior, and Anterior temporal windows (MTW, PTW & ATW) in the elderly subjects. Physical attributes of the head, including head circumference and the distance between tragus (‘tragus-to-tragus arc length’), were also measured.
DOI: 10.17632/nyj5mxk5yh.3
title: Dataset: Success rate of transcranial Doppler scanning of cerebral arteries at different transtemporal windows in healthy elderly individuals 

description: This dataset contains the success rates of applying transcranial Doppler (TCD) scanning using a hand-held 1.6-MHz pulsed-wave TCD transducer at Middle, Posterior, and Anterior temporal windows (MTW, PTW & ATW) in the elderly subjects. Physical attributes of the head, including head circumference and the distance between tragus (‘tragus-to-tragus arc length’), were also measured.
DOI: 10.17632/d4dhg2sths.1
title: COSEν: A collective oscillation simulation engine for neutrinos

description: We introduce the implementation details of the simulation code COSEν, which numerically solves a set of non-linear partial differential equations that govern the dynamics of neutrino collective flavor conversions. We systematically provide the details of both finite difference method supported by Kreiss-Oliger dissipation and finite volume method with seventh order weighted essentially non-oscillatory scheme. To ensure the reliability of the code, we perform comparison of the simulation results with theoretically obtainable solutions. In order to understand and characterize the error accumulation behavior of the implementations when neutrino self-interactions are switched on, we also analyze the evolution of the deviation of the conserved quantities for different values of simulation parameters. We report the performance of our code with both CPUs and GPUs. The public version of the COSEν package is available at https://github.com/COSEnu/COSEnu.
DOI: 10.17632/4p43cxn53k.1
title: Neural Networks in Friction Factor Analysis of Smooth Pipe Bends

description: Program title: ANN_Frictionfactor
No. of lines in distributed program, including test data, etc.: 468
No. of bytes in distributed program, including test data, etc.: 71680
Distribution format: .py , .ipynb
Programming language: Python
Computer: Any workstation or laptop computer running TensorFlow, Google Colab, Anaconda, Jupyter, pandas, NumPy, Microsoft Azure and Alteryx.
Operating system: Windows and Mac OS, Linux.
DOI: 10.17632/ntw6kthbt3.1
title: Quantifying Day-to-day Variability of O/N2 Ratio and its Correlation with Geomagnetic Activity using GOLD

description: Data used to generate Figures 2, 3, and 4 for the paper "Quantifying Day-to-day Variability of O/N2 Ratio and its Correlation with Geomagnetic Activity using GOLD." Geomagnetic indices are available at https://spdf.gsfc.nasa.gov/pub/data/omni and GOLD data are available at https://gold.cs.ucf.edu/data/
DOI: 10.17632/264ppwknvb.1
title: Capital Flows in an Aging World -- replication files

description: These files are needed to replicate figures and results in "Capital Flows in an Aging World" by Zsófia L. Bárány, Nicolas Coeurdacier and Stéphane Guibaud.
DOI: 10.17632/2c38hcpp5n.1
title: FlexibleDecay: An automated calculator of scalar decay widths

description: We present FlexibleDecay, a tool to calculate decays of scalars in a broad class of BSM models. The tool aims for high precision particularly in the case of Higgs boson decays. In the case of scalar and pseudoscalar Higgs boson decays the known higher order SM QED, QCD and EW effects are taken into account where possible. The program works in a modified scheme MS that exhibits a decoupling property with respect to heavy BSM physics, with BSM parameters themselves treated in the MS/DR-scheme allowing for an easy connection to high scale tests for, e.g., perturbativity and vacuum stability, and the many observable calculations readily available in MS/DR programs. Pure BSM effects are taken into account at the leading order, including all one-loop contributions to loop-induced processes. The program is implemented as an extension to FlexibleSUSY, which determines the mass spectrum for arbitrary BSM models, and does not require any extra configuration from the user. We compare our predictions for Higgs decays in the SM, singlet extended SM, type II THDM, CMSSM and MRSSM, as well as for squark decays in the CMSSM against a selection of publicly available tools. The numerical differences between our and other programs are explained. The release of FlexibleDecay officially deprecates the old effective couplings routines in FlexibleSUSY.
DOI: 10.17632/mzd889dn3f.1
title: LINF_330037600

description: cysteine peptidase - Clan CA - family C51 | DAL1
Leishmania infantum (strain JPCM5)
DOI: 10.17632/tyxp6t4vpy.1
title: LINF_330037500

description: TFIIS2-2
Leishmania infantum (strain JPCM5)
DOI: 10.17632/swmk2t5p53.1
title: LINF_330037400

description: transcription elongation factor-like protein
Leishmania infantum (strain JPCM5)
DOI: 10.17632/c2w5rbpzd4.1
title: LINF_330037300

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/wdzc2kd8p3.1
title: LINF_330037100

description: paraflagellar rod component 10 | PFC10
Leishmania infantum (strain JPCM5)
DOI: 10.17632/f366p3zmkh.1
title: Palmitoylation prevents sustained inflammation by limiting NLRP3 inflammasome activation through chaperone-mediated autophagy

description: As a key component of the inflammasome, NLRP3 is a critical intracellular danger sensor emerging as an important clinical target in inflammatory diseases. However, little is known about the mechanisms that determine the kinetics of NLRP3 inflammasome stability and activity to ensure effective and controllable inflammatory responses. Here, we show that S-palmitoylation acts as a brake to turn NLRP3 inflammasome off. zDHHC12 is identified as the S-acyltransferase for NLRP3 palmitoylation, which promotes its degradation through the chaperone-mediated autophagy pathway. Zdhhc12 deficiency in mice enhances inflammatory symptoms and lethality following alum-induced peritonitis and LPS-induced endotoxic shock. Notably, several disease-associated mutations in NLRP3 are associated with defective palmitoylation, resulting in overt NLRP3 inflammasome activation. Thus, our findings identify zDHHC12 as a repressor of NLRP3 inflammasome activation and uncover a previously unknown regulatory mechanism by which the inflammasome pathway is tightly controlled by the dynamic palmitoylation of NLRP3.
DOI: 10.17632/f366p3zmkh.2
title: Palmitoylation prevents sustained inflammation by limiting NLRP3 inflammasome activation through chaperone-mediated autophagy

description: As a key component of the inflammasome, NLRP3 is a critical intracellular danger sensor emerging as an important clinical target in inflammatory diseases. However, little is known about the mechanisms that determine the kinetics of NLRP3 inflammasome stability and activity to ensure effective and controllable inflammatory responses. Here, we show that S-palmitoylation acts as a brake to turn NLRP3 inflammasome off. zDHHC12 is identified as the S-acyltransferase for NLRP3 palmitoylation, which promotes its degradation through the chaperone-mediated autophagy pathway. Zdhhc12 deficiency in mice enhances inflammatory symptoms and lethality following alum-induced peritonitis and LPS-induced endotoxic shock. Notably, several disease-associated mutations in NLRP3 are associated with defective palmitoylation, resulting in overt NLRP3 inflammasome activation. Thus, our findings identify zDHHC12 as a repressor of NLRP3 inflammasome activation and uncover a previously unknown regulatory mechanism by which the inflammasome pathway is tightly controlled by the dynamic palmitoylation of NLRP3.
DOI: 10.6075/j05t3j1g
title: Structural Tests of Full-Scale Composite Airframe-Representative Structure under Blunt Loading Simulating High-Energy Wide Area Blunt Impact (HEWABI) by Ground Service Equipment

description: Datasets from High Energy Wide Area Blunt Impact (HEWABI) specimens testing performed at UCSD between August and December 2019. Files herein include photos, videos, and test data collected (strain gauge, displacement and force) of two test locations on the structure: Loc3 (bay below passenger floor beam) and Loc4 (stringer below Loc3). Each of these locations was investigated via two specimens, impacted with different load levels to generate increasing damage states. In addition, CAD models are provided for fully-defined specimen geometry.
DOI: 10.5281/zenodo.7332349
title: BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

description: Datasets drive vision progress, yet existing driving datasets are impoverished in terms of visual content and supported tasks to study multitask learning for autonomous driving. Researchers are usually constrained to study a small set of problems on one dataset, while real-world computer vision applications require performing tasks of various complexities. We construct BDD100K, the largest driving video dataset with 100K videos and 10 tasks to evaluate the exciting progress of image recognition algorithms on autonomous driving. The dataset possesses geographic, environmental, and weather diversity, which is useful for training models that are less likely to be surprised by new conditions. Based on this diverse dataset, we build a benchmark for heterogeneous multitask learning and study how to solve the tasks together. Our experiments show that special training strategies are needed for existing models to perform such heterogeneous tasks. BDD100K opens the door for future studies in this important venue.
description: BSD 3-Clause License Copyright (c) 2018, Fisher Yu All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
DOI: 10.5281/zenodo.7332348
title: BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

description: Datasets drive vision progress, yet existing driving datasets are impoverished in terms of visual content and supported tasks to study multitask learning for autonomous driving. Researchers are usually constrained to study a small set of problems on one dataset, while real-world computer vision applications require performing tasks of various complexities. We construct BDD100K, the largest driving video dataset with 100K videos and 10 tasks to evaluate the exciting progress of image recognition algorithms on autonomous driving. The dataset possesses geographic, environmental, and weather diversity, which is useful for training models that are less likely to be surprised by new conditions. Based on this diverse dataset, we build a benchmark for heterogeneous multitask learning and study how to solve the tasks together. Our experiments show that special training strategies are needed for existing models to perform such heterogeneous tasks. BDD100K opens the door for future studies in this important venue.
description: BSD 3-Clause License Copyright (c) 2018, Fisher Yu All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
DOI: 10.34740/kaggle/dsv/4539114
title: US counties COVID 19 dataset
DOI: 10.5281/zenodo.5711234
title: Broad Grid of 2-component kilonova models

description: This dataset is a grid of multi-angle, multi-wavelength spectra from 900 2D axisymmetric, 2-component kilonova models. The masses and velocities of each component are 0.001, 0.003, 0.01, 0.03, or 0.1 M<sub>⊙</sub> and 0.05, 0.15, or 0.3 c, respectively. The models in this dataset have been described by Wollaeger et al (2021), "A Broad Grid of 2D Kilonova Emission Models" (NASA ADS link here). This dataset is also posted on the LANL CTA website here. The upload is a tarball with 3 files per model: spectra (_spec_), luminosity (_lums_), and broadband magnitudes (_mags_). The model name has model properties, for example: Run_TS_dyn_all_lanth_wind1_all_md0.03_vd0.3_mw0.003_vw0.05_lums_2020-04-25.dat is a luminosity file produced on 4/25/2020 with toroidal (T) low-Ye ejecta, spherical (S) high-Ye ejecta, "Wind 1" high-Ye composition (wind1), 0.03 M<sub>⊙</sub> and 0.3c low-Ye ejecta mass and velocity, and 0.003 M<sub>⊙</sub> and 0.05c high-Ye ejecta mass and velocity. The data format is described in <strong>data_format.pdf</strong>.
description: This data set was generated with the support of Los Alamos National Laboratory (LANL) Laboratory Directed Research and Development (LDRD), project number 20190021DR. Computing resources were supplied by the LANL Institutional Computing Program.
description: {"references": ["Wollaeger et al. (2021). A Broad Grid of 2D Kilonova Emission Models. arXiv:2105.11543"]}