cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15139/s3/sxun1n
title: Replication Data for: Examining the Interconnectedness of State High Court Twitter

description: Judges are not the first political officials that come to mind when one considers the role of social media in modern politics. Following in the wake of some prominent judicial personalities adopting Twitter, however, a growing number of state high court judges have adopted and established more public personas on the platform. Judges use Twitter in substantively different ways than traditional elected officials (Curry and Fix 2019), however little is understood about how the use of such social media platforms affects broader judicial networks. Recognizing that judges, like typical social media users, may aspire to expand their networks to build and appeal to broader audiences, we contend that active participation in judicial Twitterverse could yield personal and professional advantages. Here, we address a currently unexplored question: To what extent have judges formed a distinctive “judicial network,” on Twitter, and what discernible patterns present in these networks? Leveraging the unique structure of social media, we collect comprehensive network data on judging using Twitter and analyze what institutional and social factors impact greater power within the judicial network. We find that early adoption, electoral concerns, and connective links between judges all impact the strength of the judicial network, highlighting the complex motivations driving judicial Twitter engagement, and the significance of network building in judges' social media strategies and its potential impact on career advancement.
DOI: 10.15468/dl.cjnj2p
title: Occurrence Download

description: A dataset containing 252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Schistocerca gregaria (Forskål, 1775)"
 ]
}

 The dataset includes 252 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0269736-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34622/datarepositorium/74snpu
title: Modelos 3D da Vermelhosa

description: 3D survey of rocks with Iron Age rock art motifs from the Vermelhosa site. Financed by national funds through FCT/MCTES - COA/OVD/0097/2019 “Repositório de Arte Rupestre de Acesso Aberto”
DOI: 10.5281/zenodo.10215065
title: ALB500_UCLA-ROMS simulation

description: ALB500 (UCLA-ROMS) simulation configuration files and an output sample.
DOI: 10.5281/zenodo.10419440
title: CESM2 CONTROL simulation output (1970-2014): The nonlinear and distinct responses of ocean heat content and anthropogenic carbon to ice sheet freshwater discharge in a warming climate

description: Historical (1970-2014) output from one of four CESM2 simulations aimed at exploring the impacts of single and combined Greenlandic and Antarctic freshwater discharge on the Southern Ocean over the 21st century. Contained in these files are the primary model output variables needed to investigate anthropogenic ocean heat and carbon content, sea ice fraction, and meridional overturning circulation. "CONTROL" refers to a simulation with no increasing liquid and solid freshwater runoff from the either the Greenland or Antarctic Ice Sheets. "hist" refers to the period from Jan 1970 - Dec 2014 which was run under historical CMIP6 atmospheric forcing. Each variable is output as a global field with ∼0.9×1.25∘∼0.9×1.25∘ horizontal resolution and monthly temporal resolution. Potential density and temperature both contain 60 depth levels.

Ocean Heat Content

1. "FW_CONTROL_hist.pop.h.TEMP.197001-201412.nc" contains the temperature field from Jan 1970 - Dec 2014 for the control simulation

2. "FW_CONTROL_hist.pop.h.SALT.197001-201412.nc" contains the salinity field from Jan 1970 - Dec 2014 for the control simulation

Ocean Carbon Content

3. "FW_CONTROL_hist.pop.h.DIC.197001-201412.nc" contains the dissolved inorganic carbon field from Jan 1970 - Dec 2014 for the control simulation

4. "FW_CONTROL_hist.pop.h.DIC_ALT_CO2.197001-201412.nc" contains the dissolved inorganic carbon (altervative CO2) field from Jan 1970 - Dec 2014 for the control simulation

Meridional Overturning Circulation

5. "FW_CONTROL_hist.pop.h.MOC.197001-201412.nc" contains the meridional overturning circulation field from Jan 1970 - Dec 2014 for the control simulation

Sea Ice

6. "FW_CONTROL_hist.pop.h.IFRAC.197001-201412.nc" contains the sea ice fraction field from Jan 1970 - Dec 2014 for the control simulation

 

Please contact Tessa Gorte if you have any questions about these data and/or the simulations used to generate them.
DOI: 10.5281/zenodo.10433209
title: CESM2 AIS simulation output (1992-2014): The nonlinear and distinct responses of ocean heat content and anthropogenic carbon to ice sheet freshwater discharge in a warming climate

description: Historical (1992-2014) output from one of four CESM2 simulations aimed at exploring the impacts of single and combined Greenlandic and Antarctic freshwater discharge on the Southern Ocean over the 21st century. Contained in these files are the primary model output variables needed to investigate anthropogenic ocean heat and carbon content, sea ice fraction, and meridional overturning circulation. "AIS" refers to a simulation with increasing liquid and solid freshwater runoff from the Antarctic Ice Sheet. "hist" refers to the period from Jan 1992 - Dec 2014 which was run under historical CMIP6 atmospheric forcing. Each variable is output as a global field with ∼0.9×1.25∘∼0.9×1.25∘ horizontal resolution and monthly temporal resolution. Potential density and temperature both contain 60 depth levels.

Ocean Heat Content

1. "FW_AIS_hist.pop.h.TEMP.199201-201412.nc" contains the temperature field from Jan 1992 - Dec 2014 for the AIS simulation

2. "FW_AIS_hist.pop.h.SALT.199201-201412.nc" contains the salinity field from Jan 1992 - Dec 2014 for the AIS simulation

Ocean Carbon Content

3. "FW_AIS_hist.pop.h.DIC.199201-201412.nc" contains the dissolved inorganic carbon field from Jan 1992 - Dec 2014 for the AIS simulation

4. "FW_AIS_hist.pop.h.DIC_ALT_CO2.199201-201412.nc" contains the dissolved inorganic carbon (altervative CO2) field from Jan 1992 - Dec 2014 for the AIS simulation

Meridional Overturning Circulation

5. "FW_AIS_hist.pop.h.MOC.199201-201412.nc" contains the meridional overturning circulation field from Jan 1992 - Dec 2014 for the AIS simulation

Sea Ice

6. "FW_AIS_hist.pop.h.IFRAC.199201-201412.nc" contains the sea ice fraction field from Jan 1992 - Dec 2014 for the AIS simulation

 

Please contact Tessa Gorte if you have any questions about these data and/or the simulations used to generate them.
DOI: 10.5281/zenodo.10439532
title: CESM2 GrIS simulation output (1992-2014): The nonlinear and distinct responses of ocean heat content and anthropogenic carbon to ice sheet freshwater discharge in a warming climate

description: Historical (1992-2014) output from one of four CESM2 simulations aimed at exploring the impacts of single and combined Greenlandic and Antarctic freshwater discharge on the Southern Ocean over the 21st century. Contained in these files are the primary model output variables needed to investigate anthropogenic ocean heat and carbon content, sea ice fraction, and meridional overturning circulation. "GrIS" refers to a simulation with increasing liquid and solid freshwater runoff from the Greenland Ice Sheet. "hist" refers to the period from Jan 1992 - Dec 2014 which was run under historical CMIP6 atmospheric forcing. Each variable is output as a global field with ∼0.9×1.25∘∼0.9×1.25∘ horizontal resolution and monthly temporal resolution. Potential density and temperature both contain 60 depth levels.

Ocean Heat Content

1. "FW_GrIS_hist.pop.h.TEMP.199201-201412.nc" contains the temperature field from Jan 1992 - Dec 2014 for the GrIS simulation

2. "FW_GrIS_hist.pop.h.SALT.199201-201412.nc" contains the salinity field from Jan 1992 - Dec 2014 for the GrIS simulation

Ocean Carbon Content

3. "FW_GrIS_hist.pop.h.DIC.199201-201412.nc" contains the dissolved inorganic carbon field from Jan 1992 - Dec 2014 for the GrIS simulation

4. "FW_GrIS_hist.pop.h.DIC_ALT_CO2.199201-201412.nc" contains the dissolved inorganic carbon (altervative CO2) field from Jan 1992 - Dec 2014 for the GrIS simulation

Meridional Overturning Circulation

5. "FW_GrIS_hist.pop.h.MOC.199201-201412.nc" contains the meridional overturning circulation field from Jan 1992 - Dec 2014 for the GrIS simulation

Sea Ice

6. "FW_GrIS_hist.pop.h.IFRAC.199201-201412.nc" contains the sea ice fraction field from Jan 1992 - Dec 2014 for the GrIS simulation

 

Please contact Tessa Gorte if you have any questions about these data and/or the simulations used to generate them.
DOI: 10.5281/zenodo.10551965
title: Left-moving Supercells with Polarimetric Data Available, 2011-2022

description: This is a quality-controlled dataset of left-moving supercell storms that are associated with polarimetric weather radar data collected by the U.S. WSR-88D network.  Cases are from 2011-2022, and include a combination of cases from SPC's Storm Modes dataset (Smith et al. 2012) from 2011-2015, and manually-derived cases systematically collected by all of the dataset creators.  Mesoanticyclone strength is noted following the Andra (1997) nomogram.  Start/end time and lat/lon are specified for each case to ensure good radar data quality. Quality control consists of (i) ensuring that each storm is separated from others; (ii) the storm is within 200 km of a WSR-88D; (iii) updraft rotation is anticyclonic and consistent through time and over depth; (iv) the low-level reflectivity gradient is on the left flank relative to storm motion.
DOI: 10.5281/zenodo.11070534
title: Impact of format on comprehension of economic evaluations. The FORM-EE Study.

description: Technical notes and documentation

This publication contains the databases used in the paper for FORM-EE project (general public and professionals), R analysis script for reproducibility purposes, questionnaires used and formats presented to the target audience (infograhic, text and video for the general public; policy brief and executive summary for professionals).

Aims of FORM-EE project:

Cost-effectiveness analyses of health technologies have become a part of the decision-making process in healthcare policies. Nevertheless, economic results are not always presented in comprehensible formats for non-technical audiences, such as the general population, healthcare professionals or decision-makers. The main objective of the FORM-EE Project was to measure the impact of the format on comprehension of the key messages of an economic evaluation by non-technical audiences. Besides, the perceived usefulness and acceptability of the formats were also explored. The design of the formats reflected the target audience: for the general public, plain language was used in infographic, text and video format, while for professionals from the healthcare sector, more specialized language was used in executive summary and policy brief formats. 

Files included in this publication:



FORM-EE datos pobl gral.xlsx (general population dataset)

FORM-EE datos profesionales.xlsx (professionals dataset)

Script FORM-EE clean.R (analysis script made in R language)

Cuestionario FORM-EE Poblacion gral.pdf (general population questionnaire)

Cuestionario FORM-EE Profesionales.pdf (professionals questionnaire)

FORM-EE_pg_infografia.pdf (infographic format)

FORM-EE_pg_texto-sencillo.pdf (text format)

FORM-EE_pg_video.mp4 (video format)

FORM-EE_prof_policybrief.pdf (policy brief format)

FORM-EE_prof_resumen-ejecutivo.pdf (executive summary format)
description: The FORM-EE Project (PI20/00815) was funded by the Instituto de Investigación Carlos III, Spain (ISCIII), and the European Regional Development Fund (ERDF/FEDER).
DOI: 10.5281/zenodo.11093189
title: Effect of low-temperature compression on crystal structure and superconductivity in strontium metal

description: The superconducting and structural properties of elemental strontium metal were studies as a function of pressure to 60 GPa, while maintaining cryogenic conditions during the pressure application.

This data set includes raw and analyzed electrical resistivity and xray diffraction data.
DOI: 10.5281/zenodo.11470976
title: Data for "Toward Robust Estimates of Net Ecosystem Exchanges in Mega-Countries using GOSAT and OCO-2 Observations"

description: This dataset contains carbon fluxes for the 10 largest countries in the world (here EU27 is treated as a country) using GOSAT and OCO-2 observational constraints for 2017-2019.
DOI: 10.5281/zenodo.11613488
title: Supporting data of "Temperature-dependent dynamics of energy stores in Drosophila" article

description: The data generated in the study: Knoblochová, D., Dharanikota, M., Gáliková, M., and Klepsatel, P.: Temperature-dependent dynamics of energy stores in Drosophila.
DOI: 10.5281/zenodo.1175282
title: Segmentation Of Nuclei In Histopathology Images By Deep Regression Of The Distance Map

description: This dataset has been annonced in our accepted paper "Segmentation of Nuclei in Histopathology Images by deep regression of the distance map" in Transcation on Medical Imaging on the 13th of August.<br>
This dataset consists of 50 annotated images, divided into 11 patients.
description: We would like to thank Ligue Nationnal contre le Cancer for funding my PhD.
DOI: 10.5281/zenodo.14039482
title: Analysis of streamflow and sea surface salinity near megadeltas

description: 1. A 3-D .mat file of global HyMap streamflow from 2015 April to 2019 October. This is a gridded file (latxlonxtime format) but the data are monthly accumulated (from original hourly scale). 



global_Qs_monthly_2015_2021.mat



 

2. A 3-D .mat file of global LIS surface water storage from 2015 April to 2019 October. This is again a gridded file (latxlonxtime format) but the data are monthly accumulated (from original hourly scale). 

 

global_SWS_monthly_2015_2021.mat

 

3. A 3-D .mat file of the global SMAP SSS data from 2015 April to 2019 October. Same grid-spacing (latxlonxtime format) and the data are monthly accumulated (from original hourly scale).  

global_SSS_monthly_2015_2021.mat

 

4. The hycom precipitation, temperature and wind speed variables (processed as monthly and grids - the grid spacings are not the same as the other files above)

hycom_P_T_W.mat

 

5. HyMap basins TIF file 

hymap_basins.tif

 

6. This is the LIS input file.

lis_input_010_hybrid.nc

 

7. This a .CSV file with some of the outputs 

basin_data_deltas_taylor.csv
DOI: 10.5281/zenodo.14051646
title: Astrosat/UVIT reduced images and HST/STIS merged spectra for the red-giant binary 2MASSJ05215658+4359220, published by Bianchi, L et al. 2024, ApJ ( DOI: 10.3847/1538-4357/ad712f ; arxiv:2409.06906)

description: Reduced and calibrated datasets used in the paper:  

Bianchi, Luciana; Hutchings, John; Bohlin, Ralph; Thilker, David; and Berti, Emanuele 2024, ApJ, in press; DOI: 10.3847/1538-4357/ad712f ; arxiv:2409.06906Title: Revealing the elusive companion of the red-giant binary 2MASSJ05215658+4359220 from UV HST and Astrosat/UVIT data.

See the original paper for details on the data reduction. Please reference the original paper if using these datasets. 

1) STIS_2mj05215.mrg

The file includes the three-ranges spectra extracted and combined: G230L+G430L+G750L. Ascii file. Columns are: WAVELENGTH (˚A), COUNT-RATE (counts cm−2 s−1 pixel−1), FLUX (ergs cm−2 s−1 ˚A−1), STAT-ERROR (ergs cm−2 s−1 ˚A−1), SYS-ERROR (ergs cm−2 s−1 ˚A−1), NPTS (the number of co-added spectra for that pixel), TIME (total exposure time at that pixel in seconds), QUAL ( 1=good data, 0=possibly poor data quality). The DOI: 10.17909/tvvw-4e47 refers to the original HST data, not to te reduced and combined dataset.

The file is also available from the author's website at :  http:/dolomiti.pha.jhu.edu/uvsky/RGbinary_2MASSJ05215658+4359220/STISspectra/STIS_2mj05215.mrg

2)  UVITimages.tar.  Tar file containing the UVIT images, reconstructed from the photon-counting archival data, calibrated accounting for dead-time corrections, in .fits format

The tar file contains the following .fits files of the reconstructed images, where the “NORM EXPARRAY” files are the normalized relative response maps across the field, expressed as 0 to 1. So, the effective exposure time at a pixel position is RDCDTIME multiplied by this image. The ”NORMEXP IMAGE” is the science image, that must be divided by the product of RDCDTIME and the NORM EXPARRAY image on a pixel-by-pixel basis, to obtain counts s−1 pixel−1

2MASSJ05215658+4359220_FUV_CaF2___MASTER_NORM_EXPARRAY_A10_093T01_9000004128.fits

2MASSJ05215658+4359220_FUV_CaF2___MASTER_NORM_EXPARRAY_A10_093T01_9000004266.fits

2MASSJ05215658+4359220_FUV_CaF2___MASTER_NORM_EXPARRAY_Merged.fits

2MASSJ05215658+4359220_FUV_CaF2___MASTER_NORMEXP_IMAGE_A10_093T01_9000004128.fits

2MASSJ05215658+4359220_FUV_CaF2___MASTER_NORMEXP_IMAGE_A10_093T01_9000004266.fits

2MASSJ05215658+4359220_FUV_CaF2___MASTER_NORMEXP_IMAGE_Merged.fits

2MASSJ05215658+4359220_FUV_Sapphire___MASTER_NORM_EXPARRAY_A10_093T01_9000004128.fits

2MASSJ05215658+4359220_FUV_Sapphire___MASTER_NORM_EXPARRAY_A10_093T01_9000004266.fits

2MASSJ05215658+4359220_FUV_Sapphire___MASTER_NORM_EXPARRAY_Merged.fits

2MASSJ05215658+4359220_FUV_Sapphire___MASTER_NORMEXP_IMAGE_A10 093T01_9000004128.fits

2MASSJ05215658+4359220_FUV_Sapphire___MASTER_NORMEXP_IMAGE_A10_093T01_9000004266.fits

2MASSJ05215658+4359220_FUV_Sapphire___MASTER_NORMEXP_MAGE_Merged.fits

The tar file is also available from the author's website at: http:/dolomiti.pha.jhu.edu/uvsky/RGbinary_2MASSJ05215658+4359220/UVITimages/UVITimages.tar
DOI: 10.5281/zenodo.3996369
title: NuSeT training dataset/model weights from (NuSeT: A Deep Learning Tool for Reliably Separating and Analyzing Crowded Cells)

description: This is the Full NuSeT training dataset and model training weights used in paper: NuSeT: A Deep Learning Tool for Reliably Separating and Analyzing Crowded Cells https://www.biorxiv.org/content/10.1101/749754v1 (doi 10.1371/journal.pcbi.1008193), part of the training data comes from https://www.kaggle.com/c/data-science-bowl-2018
description: {"references": ["Booz Allen Hamilton. 2018 Data Science Bowl. Kaggle"]}
DOI: 10.5281/zenodo.8422986
title: Lifetime wolf breeder data

description: Data for male and females wolves where we knew both the start and end of their breeding tenure.
DOI: 10.6084/m9.figshare.27233328
title: Haplotype-phased genome assemblies and annotation of the northern white-cheeked gibbon (<i>Nomascus leucogenys</i>)

description: Genome annotation results for Nomascus leucogenys, including the GFF files, protein sequences, GO and KEGG annotations.
DOI: 10.6084/m9.figshare.27687309
title: Data_Nerve-Signal-Velocity-Analysis-Tools

description: Data - Nerve Signal Velocity Analysis ToolsKlus et al. (2024)Synthetic nerve simulation dataData from synthetic nerve signal simulations for testing and validating nerve signal velocity analysis tools.<b>peak_values.csv</b> - Peak cross-correlation values from simulated nerve signals at varying RMS levels and window lengths for analyzing peak appearance above noise.<b>multi_run_stats.xlsx</b> - Statistical results from multi-run simulations across signal speeds, thresholds, and methods, capturing rates of true spike detection, missed spikes, and errors.<b>multi_run_peaks.xlsx</b> - Individual run results for detected peak velocities, detailing directional errors and performance across interpolation methods and velocity estimation methods.In vivo electrophysiology validation dataData from ultraconformable cuffs for in vivo validation of nerve signal velocity analysis tools.<b>cross_corr_ulnar_low.rhs</b> - Cross-correlation data in ulnar nerve cuff to demonstrate low SNR recording. Row 4 represents the distal electrode, and row 3 represents the proximal electrode.<b>cross_corr_median_high.rhs</b> - Cross-correlation data in median nerve cuff to demonstrate high SNR recording. Row 2 represents the distal electrode, and row 1 represents the proximal electrode.<b>spike_interval_processed.mat</b> - Spike interval data between proximal and distal cuff electrodes. Row 2 represents the distal electrode, and row 1 represents the proximal electrode.
DOI: 10.15139/s3/pb5umo
title: Replication Data for: State Capacity and Covid-19 Responses: Comparing the U.S. States

description: The files contain all data and scripts for replication purposes.
DOI: 10.15139/s3/vd6bgl
title: Replication Data for: Improving Subnational Opinion Estimation from Cluster-Sampled Polls

description: The development of Multilevel Regression and Poststratification (MRP) has allowed scholars to more accurately estimate subnational public opinion using national polls. However, MRP generally recovers less accurate estimates from polls whose respondents are selected using cluster sampling---also called area-probability sampling. This is in part because cluster-sampled polls rely on a complex form of random sampling focused on national representativeness that may result in small or unrepresentative subsamples in subnational geographies. This has limited MRP's usefulness in subnational opinion estimation in several contexts, including historical polls in the United States, where cluster-sampling was common into the 1980s, and large academic studies in many countries today. In this paper, I propose two approaches to improve estimation from MRP with cluster-sampled polls. The first is pooling data from multiple surveys to produce a larger sample of clusters. The second is Clustered MRP (CMRP), which extends MRP by modeling opinion using the geographic information included in a survey's cluster-sampling procedure. Using simulations, I show that both methods improve upon traditional MRP, and I validate them using historical polls in the United States.
DOI: 10.17909/tvvw-4e47
title: Bianchi et al. 2024, ApJ; HST-GO-16654

description: These are the original HST data.  Follow the links in the paper to download custom-extracted data and UVIT images
DOI: 10.5281/zenodo.10369273
title: LPL30-A multilevel dataset of landform mapping and geomorphologic descriptors for the Loess Plateau of China

description: LPL30