Johns Hopkins Research Data Repository
Not a member yet
553 research outputs found
Sort by
Data associated with the publication: Carter, A.W. et al. (2020) Methods for estimating Wet Bulb Globe Temperature from remote and low-cost data: a comparative study in central Alabama. GeoHealth.
No full textThis archive contains data used in the publication Carter et al. (2020). These include hourly estimates of Wet Bulb Global Temperature (WBGT) and relevant supporting variables recorded by Kestrel 5400 Heat Stress Tracker instruments installed at three sites in Alabama—downtown Birmingham, suburban Birmingham, and rural Wilcox County—and hourly temperature and relative humidity estimates recorded by a network of Maxim Integrated Products, Inc. Model DS1923 Hygrochron iButtons distributed around Birmingham and Wilcox County. Details of these measurement networks and information on how the measurements were used in WBGT calculations are provided in Carter et al. (2020)
Data associated with the publication: A clinical score for identifying active tuberculosis while awaiting microbiological results: development and validation of a multivariable prediction model in sub-Saharan Africa
No full textThis dataset includes parts of two studies: the Kharitode study and the STOMP-TB study.
The Kharitode study is a cluster-randomized controlled trial of tuberculosis contact investigation against facility-based screening in Limpopo Province, South Africa. It includes participants above 15 years of age who presented with tuberculosis symptoms at the 28 primary health clinics randomized to facility-based screening between July 2016 and January 2018.
The STOMP-TB study is population-based tuberculosis survey, conducted in Kampala, Uganda. It includes adult participants above 15 years of age who presented with tuberculosis symptoms at four healthcare facilities between May 2018 and December 2019
Data associated with publication Wilusz et al. ‘Using particle tracking to understand flow paths, age distributions, and the paradoxical origins of the inverse storage effect in an experimental catchment’
No full textThis data archive contains modeling code, inputs, and outputs for the paper “Using Particle Tracking to understand flowpaths, age distributions, and the paradoxical origins of the inverse storage effect in an experimental catchment.” The paper was prepared by D.C. Wilusz, C.J. Harman, W. P. Ball, R. M. Maxwell, and A. R. Buda. The paper DOI is 10.1029/2019WR025140. The data archive is split into four zipped folders:
101_Calibration: contains the inputs, processing code, and outputs for the model calibration;
102_ParFlow_CLM_Final_Run: contains the inputs, processing code, and outputs for the final run of the calibrated model;
103_Flowpath_Tracking: contains the inputs, processing code, and outputs for particle tracking in the final model; and
104_Data_Analysis_and_Plotting: contains the inputs and code used to generate paper figures, and copies of the figures.
The archive contains a document "README.pdf" that describes the contents of each of the four folders in more detail
Data associated with the publication: Enhanced molecular doping for high conductivity in polymers with volume freed for dopants
No full textFrom the publication abstract: We present two new polythiophene isomers, PQTC16-TT and PQTSC16-TT, with more separation and lower side chain density on the backbone compared with the typical polythiophenes, such as PQT(S)12 and PBTTT(S)12. The introduction of spacer subunits to separate the side chains improves the accommodation of dopant molecules close to the polymer backbone. Therefore, the lamellar structure and π–π stacking of polymers were negligibly disturbed by dopants; in fact, improved ordering and closer π-stacking were observed after chemical doping. Furthermore, the doping efficiency is significantly enhanced and the electrical conductivity is improved up to 330 S cm–1, still maintained at 200 S cm–1 at higher doping concentration, for the combination of PQTSC16-TT/NOBF4. We investigate how charge transfer is affected by the geometry of the dopant with respect to the polymer repeat unit. It is shown that the sulfurs in the side chains act as binding sites for dopants, resulting in higher thermal and environmental stability of alkylthio-substituted polymers upon doping
Data and code associated with the publication: Feedback regulation of crystal growth by buffering monomer concentration
No full textThis contains all the fluorescence micrograph images from the above publication. In addition, this contains all the custom MATLAB code used to analyze the fluorescence micrograph images. A detailed description of the data and code organization is provided in “README.pdf”
Data associated with Yang et al., 2020, Dependence of Atmospheric Transport into the Arctic on Extent of the Hadley Cell
No full textModel output (annual-mean values for 6 years) from the GFDL dry dynamical core, see details in Yang et al. (2020), Geophysical Research Letters
Experimental data associated with 'Sequential biodegradation of 1,2,4-trichlorobenzene at oxic-anoxic groundwater interfaces in model laboratory columns'
No full textThis dataset contains several tables of experimentally measured values from a long-term column biodegradation study. Values from this dataset were used in calculations, graphs, and interpretations in the associated publication, as described in the Materials and Methods of the associated publication. Data includes concentrations of chlorobenzene congeners, anions, dissolved oxygen, and bacterial gene copy numbers
Tax Law NLP Resources
No full textResources helpful those doing research using NLP and tax law. This includes: A version of BERT-base-cased trained on 900M tokens from the case.law corpus. A curated corpus of IRS private letter rulings and Tax Court memorandum and summary opinions scraped from the IRS and Tax Court websites and OCR’ed and corrected as necessary. A 500-dimension word2vec vector representation of tax-law terms (including multi-term collocations) trained on this corpus plus tax-specific cases from the case.law corpus
Dataset: Audio-visual representations of object drops
No full textAs robots perform manipulation tasks and interact with objects, it is probable that they accidentally drop objects that subsequently bounce out of their visual fields (e.g., due to an inadequate grasp of an unfamiliar object). To enable robots to recover from such errors, we draw upon the concept of object permanence—objects remain in existence even when they are not being sensed (e.g., seen) directly.
This dataset was created to address the above challenge. The data was collected by having a Kinova Gen3 Robot Arm repeatedly pick up a wooden cube (3cm x 3cm x 3cm) and release the cube 0.3 meters above a table surface. A 7-channel microphone array was used to record the impact sound from when the robot gripper opened to drop the cube. A camera mounted on the robot’s wrist observed the beginning of the cube’s trajectory before the cube bounced out of view, and a ceiling camera recorded the rest of the trajectory.
Audio recordings were saved as WAV files, and the cube’s trajectory was saved as NumPy arrays, with two versions: the partial trajectory observed from the robot wrist camera and the complete trajectory obtained by merging two partial trajectories
Data associated with Ragen, Pradal and Gnanadesikan, "Impact of parameterized lateral mixing on the transport of the Antarctic Circumpolar Current in a coupled climate model"
No full textContains annually averaged netCDF files of the ocean output used in this paper to examine the interaction between the lateral mixing coefficient ARedi and the strength of the Circumpolar Current. Paper demonstrates that increasing ARedi causes the current to weaken. This is a surprising result given that this coefficient does not, by itself, produce large changes in density as it mixes temperature and salinity along density surfaces. However, changes in convection and surface temperatures produce changes in winds that do produce a much larger change in the density structure which is then reflected in the Circumpolar Current strength. Uncertainty in the mixing coefficient can explain a small fraction of the differences in Circumpolar Current transport seen in contemporary climate models. Files show averages of a number of key variables averaged over last century of simulation