cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23729/b6914993-88cc-4bb4-897b-a2d85cda9492
title: X-ray diffraction frames of EcTFE alpha in complex with ATP (PDB code: 6TNM)

description: The dataset contains 1800 X-ray diffraction frames from a crystal of E. coli aerobic trifunctional enzyme (EcTFE) subunit-alpha co-crystallized with ATP.
DOI: 10.5281/zenodo.3796949
title: The database of words and affiliations of the SEG Annual Conferences (1982 - 2019)

description: The database of the SEG Annual meetings v2.0<br> This repository includes data for the words and phrases frequency of occurrence analysis "SEGgrams.sqlite" and the database "SEG_affiliations_data.sqlite" consisting of the industry companies and different countries academia that presented their research during the 38 Society of Explorational Geophysicists Annual Conferences (1982 - 2019) with the corresponding number of affiliations for the whole period of study.
description: This database can be used to analyze the frequency of use of various terms in the materials of the geophysical conference for the period from 1982 to 2019.
DOI: 10.5281/zenodo.3796950
title: The database of words and affiliations of the SEG Annual Conferences (1982 - 2019)

description: The database of the SEG Annual meetings v2.0<br> This repository includes data for the words and phrases frequency of occurrence analysis "SEGgrams.sqlite" and the database "SEG_affiliations_data.sqlite" consisting of the industry companies and different countries academia that presented their research during the 38 Society of Explorational Geophysicists Annual Conferences (1982 - 2019) with the corresponding number of affiliations for the whole period of study.
description: This database can be used to analyze the frequency of use of various terms in the materials of the geophysical conference for the period from 1982 to 2019.
DOI: 10.5281/zenodo.3792747
title: Dataset for On the Sparsity of XORs in Approximate Model Counting (SAT-20 Paper)

description: The artifact consists of the necessary data to reproduce the results reported in the SAT-20 Paper titled "On the Sparsity of XORs in Approximate Model Counting". <br> <br> In particular, the artifact consists of the binaries, the log files generated by our computing cluster, and scripts to generate tables and the plots used in the paper.
DOI: 10.5281/zenodo.3792748
title: Dataset for On the Sparsity of XORs in Approximate Model Counting (SAT-20 Paper)

description: The artifact consists of the necessary data to reproduce the results reported in the SAT-20 Paper titled "On the Sparsity of XORs in Approximate Model Counting". <br> <br> In particular, the artifact consists of the binaries, the log files generated by our computing cluster, and scripts to generate tables and the plots used in the paper.
DOI: 10.5281/zenodo.3799053
title: Microsaccades inhibition triggered by a repetitive visual distractor is not subject to habituation: implications for the programming of reflexive saccades

description: Dataset relative to the manuscript entitled "<strong>Microsaccades inhibition triggered by a repetitive visual distractor is not subject to habituation: implications for the programming of reflexive saccades</strong>"
DOI: 10.5281/zenodo.3799054
title: Microsaccades inhibition triggered by a repetitive visual distractor is not subject to habituation: implications for the programming of reflexive saccades

description: Dataset relative to the manuscript entitled "<strong>Microsaccades inhibition triggered by a repetitive visual distractor is not subject to habituation: implications for the programming of reflexive saccades</strong>"
DOI: 10.5281/zenodo.3801164
title: Inputdata for CESM2.1.3 F2000climo compset f19_g17 res

description: Compset longname is 2000_CAM60_CLM50%SP_CICE%PRES_DOCN%DOM_MOSART_CISM2%NOEVOLVE_SWAV
DOI: 10.25345/c5m126
title: MassIVE MSV000085380 - GNPS soft coral 19-XD-51 chenzihui no di san ge yangpin
title: This is a soft coral collected from weizhou island, south China sea, which is rich in Marine natural products such as terpenes and steroids.
DOI: 10.5281/zenodo.3727223
title: OU/NSSL CLAMPS AERIoe Temperature and Water Vapor Profile Data from LAPSE-RATE

description: The AERIoe algorithm (Turner and Loehnert 2014, Turner and Blumberg 2018) retrieves profiles of temperature and water vapor mixing ratio, together with cloud properties for a single-layer cloud (i.e., LWP, effective radius), from AERI-observed infrared radiance spectrum. The data can be used to characterize the evolution of the planetary boundary layer and boundary layer clouds. This dataset was collected at the Moffat Consolidated School in Moffat, CO during the LAPSE-RATE field campaign. The AERIoe retrieval was run at 15-minute resolution to match the cadence of the UAS that was colocated with the CLAMPS facility. This is a physical-iterative retrieval method. The retrieval of thermodynamic profiles from spectral infrared radiance observations is an ill-posed problem, and thus constraints need to be included in the retrieval algorithm to provide physically plausible results. Here, we use a climatology of 2022 radiosonde profiles collected from Denver during July as our prior information in an optimal estimation framework. As the method uses an optimal estimation framework, a full error covariance matrix of each solution is included in the output file. The 1-sigma uncertainty of each retrieved variable, which is derived from the error covariance matrix, is included for each scientific field and is named "sigma_X", where "X" is the name of the scientific field (e.g., 'temperature'). The information content in the AERI observations, which is in the "dfs" field, on the thermodynamic profiles is primarily concentrated in the lowest 3 km or up to cloud base; the retrieved data should not be used above that level (or used with caution). References: Turner, D. D., and U. Löhnert, 2014: Information Content and Uncertainties in Thermodynamic Profiles and Liquid Cloud Properties Retrieved from the Ground-Based Atmospheric Emitted Radiance Interferometer (AERI). <em>J. Appl. Meteor. Climatol.</em>, <strong>53</strong>, 752–771, https://doi.org/10.1175/JAMC-D-13-0126.1. Turner, D. D., and W. G. Blumberg, 2019: Improvements to the AERIoe Thermodynamic Profile Retrieval Algorithm. <em>IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing</em>, <strong>12</strong>, 1339–1354, https://doi.org/10.1109/JSTARS.2018.2874968.
DOI: 10.5281/zenodo.3801163
title: Inputdata for CESM2.1.3 F2000climo compset f19_g17 res

description: Compset longname is 2000_CAM60_CLM50%SP_CICE%PRES_DOCN%DOM_MOSART_CISM2%NOEVOLVE_SWAV
DOI: 10.5281/zenodo.3780622
title: OU/NSSL CLAMPS Doppler Lidar Data from LAPSE-RATE

description: Doppler lidars transmit pulses of 1.5 um wavelength laser energy into the atmosphere, which scatters off aerosol particles and hydrometeors. The lidar measures the intensity of this return, as well as its radial velocity. The lidar has a scanner which allows the system to scan anywhere in the hemisphere, and typically a fixed scan strategy is used. The Doppler lidar data are provided in three different netCDF files: one containing the stare data (DLFP), one containing the PPI data (DLPPI), and the last containing the processed VAD data (DLVAD). These files are provided in netCDF format. For LAPSE-RATE, the OU DL scan strategy consisted of a 24-point plan position indicator (PPI) scan at 70 degree elevation angle, a 6-point PPI at 45 degrees, and a vertical stare. The sequence ran every 5 minutes with the stare filling in the remaining time after the two PPI scans.
DOI: 10.5281/zenodo.3797614
title: Seasonal Precipitation and Temperature Data in Canberra, Australia

description: This dataset contains the precipitation, mean maximum temperature and mean minimum temperature data used in the study Application of Machine Learning to Attribution and Prediction of Seasonal Precipitation and Temperature Trends in Canberra, Australia. This data was originally from the Australian Bureau of Meteorology Climate Data Online (http://www.bom.gov.au/climate/data/index.shtml), but has been updated to have missing values (1% of data) filled using a moving average centred on the year for which the data is missing. <br> <br> Below is the abstract for the paper. Southeast Australia is frequently impacted by drought, requiring monitoring of how the various factors influencing drought change over time. Precipitation and temperature trends were analysed for Canberra, Australia, revealing decreasing autumn precipitation. However, annual precipitation remains stable as summer precipitation increased and the other seasons show no trend. Further, mean temperature increases in all seasons. These results suggest that Canberra is increasingly vulnerable to drought. Wavelet analysis suggests that the El-Niño Southern Oscillation (ENSO) influences precipitation and temperature in Canberra, although its impact on precipitation has decreased since the 2000s. Linear regression (LR) and support vector regression (SVR) were applied to attribute climate drivers of annual precipitation and mean maximum temperature (TMax). Important attributes of precipitation include ENSO, the southern annular mode (SAM), Indian Ocean Dipole (DMI) and Tasman Sea SST anomalies. Drivers of TMax included DMI and global warming attributes. The SVR models achieved high correlations of 0.737 and 0.531 on prediction of precipitation and TMax, respectively, outperforming the LR models which obtained correlations of 0.516 and 0.415 for prediction of precipitation and TMax on the testing data. This highlights the importance of continued research utilising machine learning methods for prediction of atmospheric variables and weather pattens on multiple time scales.
DOI: 10.5281/zenodo.3797615
title: Seasonal Precipitation and Temperature Data in Canberra, Australia

description: This dataset contains the precipitation, mean maximum temperature and mean minimum temperature data used in the study Application of Machine Learning to Attribution and Prediction of Seasonal Precipitation and Temperature Trends in Canberra, Australia. This data was originally from the Australian Bureau of Meteorology Climate Data Online (http://www.bom.gov.au/climate/data/index.shtml), but has been updated to have missing values (1% of data) filled using a moving average centred on the year for which the data is missing. <br> <br> Below is the abstract for the paper. Southeast Australia is frequently impacted by drought, requiring monitoring of how the various factors influencing drought change over time. Precipitation and temperature trends were analysed for Canberra, Australia, revealing decreasing autumn precipitation. However, annual precipitation remains stable as summer precipitation increased and the other seasons show no trend. Further, mean temperature increases in all seasons. These results suggest that Canberra is increasingly vulnerable to drought. Wavelet analysis suggests that the El-Niño Southern Oscillation (ENSO) influences precipitation and temperature in Canberra, although its impact on precipitation has decreased since the 2000s. Linear regression (LR) and support vector regression (SVR) were applied to attribute climate drivers of annual precipitation and mean maximum temperature (TMax). Important attributes of precipitation include ENSO, the southern annular mode (SAM), Indian Ocean Dipole (DMI) and Tasman Sea SST anomalies. Drivers of TMax included DMI and global warming attributes. The SVR models achieved high correlations of 0.737 and 0.531 on prediction of precipitation and TMax, respectively, outperforming the LR models which obtained correlations of 0.516 and 0.415 for prediction of precipitation and TMax on the testing data. This highlights the importance of continued research utilising machine learning methods for prediction of atmospheric variables and weather pattens on multiple time scales.
DOI: 10.15468/7shbe8
title: Comparative morphology of immature Trictenotoma formosana Kriesche, 1919 and systematic position of the Trictenotomidae (Coleoptera, Tenebrionoidea)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Hu, Fang-Shuo, Pollock, Darren A., Telnov, Dmitry (2020): Comparative morphology of immature Trictenotoma formosana Kriesche, 1919 and systematic position of the Trictenotomidae (Coleoptera, Tenebrionoidea). European Journal of Taxonomy 640: 1-22, DOI: https://doi.org/10.5852/ejt.2020.640
DOI: 10.5519/qd.2xn5d10t
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (89 records)
DOI: 10.17632/b3fkwybd9w.2
title: More Proximal, More Willing to Purchase: The Mechanism for Variability in Consumers' Purchae Intention toward Sincere versus Exciting Brands

description: The dataset underlies a research addressing the mechanism behind the variability in consumers' purchase intentions toward sincere and exciting brands.
DOI: 10.3886/e119061v2-24161
title: Governments' Responses to COVID-19

description: Responding to an outbreak of a novel COVID-19, governments all around the world implemented public health and economic measures to contain the spread of the virus and to support the economy. Public health measures include travel restrictions, bans on mass gatherings, school closing and domestic lockdown among others. Economic measures include wage support, cash transfers, interest rates cuts, tax cuts and delays, and support to exporters or importers. This paper presents a unique dataset of governments’ responses to the COVID-19. The dataset codes the policy interventions with their dates at the country-level for more than 200 countries in the first quarter of 2020 (January 1st – April 14th, 2020). The generation of detailed datasets on the measures taken by governments is important and can help to generate robust evidence to support public health and economic decision making.
description: Response Rates: The final dataset is made of 10,365 country-day observations. 217 countries are covered for at least one day and 184 countries are covered for at least 5 days.
description: other; Cite data as Porcher, Simon "A novel dataset on governments’ responses to COVID-19 all around the world", chaire EPPP discussions paper 2020-02.
description: Public health measures include travel restrictions, bans on mass gatherings, school closing and domestic lockdown among others. Economic measures include wage support, cash transfers, interest rates cuts, tax cuts and delays, and support to exporters or importers. . Smallest Geographic Unit: Country-level
description: All countries with available information.
DOI: 10.5281/zenodo.3787243
title: Data and analysis scripts associated with the paper 'The Importance of Environment and Mutational History on Evolution of HIV-1 in a Long-Term Experiment'

description: <em>Eva Bons, Christine Leemann, Karin J. Metzner, Roland R. Regoes</em> This repository contains all the data and analysis scripts associated with the paper 'The Importance of Environment and Mutational History on Evolution of HIV-1 in a Long-Term Experiment' See the readme after unpacking the .zip for a description of the files
DOI: 10.5281/zenodo.3801346
title: Chronicle of Nature - Phenology of Plants of Caucasian State Biosphere Reserve of the Ministry of Natural Resources

description: Plants Phenology dataset compiled in the context of Chronicle of Nature program in Caucasian State Biosphere Reserve of the Ministry of Natural Resources (Russian Federation) consisting of 23710 records collected during 67 years between 1928 and 2000.
description: This dataset export was created by EarthCape software platform version 20.4.26.0
DOI: 10.5284/1076948
title: Old Town Mill, Wadsworth, West Yorkshire: Building recording (OASIS ID: atelier11-381378)

description: A Level 3 building recording (Historic England) of the former worsted mill at Old Town, Wadsworth, Calderdale, West Yorkshire. The complex includes a range of typical industrial buildings related to worsted and cotton manufacture in the area dating from the mid-19th century to the early 20th century. It is a good example of an integrated mill which developed over time and is listed for its significance
DOI: 10.5281/zenodo.3780592
title: OU/NSSL CLAMPS Microwave Radiometer and Surface Meteorological Data from LAPSE-RATE

description: The microwave radiometer measures downwelling microwave radiance in 14 channels from 22.2 to 60.0 GHz at 1 s temporal resolution. It is one of the core instruments in the Collaborative Lower Atmospheric Mobile Profiling System (CLAMPS-1) facility. A simple statistical retrieval is performed to retrieve precipitable water vapor (PWV) and liquid water path (LWP) from the observations at 23.8 and 31.4 GHz (Turner et al. 2007). This microwave radiometer has a Vaisala all-weather met station included. This station is positioned about two feet above the back of the CLAMPS trailer. It is possible that the trailer is affecting these met station observations in some conditions. Note that the wind data in these files are likely not representative of true environmental wind. Due to power requirements, CLAMPS was positioned close to a building, which likely influenced the wind speed and direction. Any wind data should be used with caution. References: Turner, D. D., S. A. Clough, J. C. Liljegren, E. E. Clothiaux, K. E. Cady-Pereira, and K. L. Gaustad, 2007: Retrieving Liquid Wat0er Path and Precipitable Water Vapor From the Atmospheric Radiation Measurement (ARM) Microwave Radiometers. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, <strong>45</strong>, 3680–3690, https://doi.org/10.1109/TGRS.2007.903703.
DOI: 10.5286/isis.e.rb1890354-2
title: Spin wave investigation of Ba2MnTeO6
DOI: 10.5281/zenodo.3793089
title: Model Counting and Uniform Sampling Instances

description: These instances mainly consist of the formulas that have been used in the evaluation of recent model counting techniques. A significant set of benchmarks involving sampling set, i.e., they are meant for projected model counting.<br> <br> The specification for reading such files can be found at https://github.com/meelgroup/approxmc<br> <br> Here is list of some of the papers that have reported results on these instances: 1. BIRD: Engineering an Efficient CNF-XOR SAT Solver and its Applications to Approximate Model Counting<br> Mate Soos and Kuldeep S. Meel<br> Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2019. 2. Accelerating Approximate Techniques for Counting and Sampling Models Through Refined CNF-XOR Solving<br> Mate Soos, Stephan Gocht, and Kuldeep S. Meel<br> Proceedings of International Conference on Computer-Aided Verification (CAV), 2020.<br>
DOI: 10.5281/zenodo.3801643
title: FoodGo Test Dataset

description: These CSV files provide a base dataset for testing the FoodGo system that schedules the pick-ups and drop-offs of food donations from donors to nonprofits. The first file, foodgo-order.csv, specifies 500 orders. Each row in the file contains an order id, the quantity of the order in a standard unit, whether or not the order is perishable, and the location coordinates and the time-windows for the pick-up and the drop-offs. The second file, food go-volunteers.csv. specifies 50 volunteers. Each row has the volunteer id, the capacity that the vehicle has in a standard unit, the locations of where the volunteer begins and ends hers or his availability, and the availability window. Times are represented in a simple integer format where the thousands and hundreds digits represent the hours and the tens and ones digits represent the minutes. The availabilities in the foodgo-volunteers dataset are represented as a JSON array, with each subarray representing the start and end of a time window in which the volunteer is available to transport orders.
DOI: 10.5281/zenodo.3800096
title: Short-term effects of biochar on soil CO2 efflux in boreal Scots pine forests

description: This dataset includes all the data we collected at the first summer after biochar application in boreal forests. Our paper“ the effect of biochar on soil CO<sub>2</sub> efflux in boreal forests“ now is under review in Annals of Forest Science. Biochar prepared at two reaction temperatures was applied at three rates (including non-amended controls). During the first year after treatment, efflux increased with higher rates of biochar, but the reaction temperature had no effect. o explain char effects on efflux, soil moisture and temperature were also added to the model testing treatment effects. These environmental variables explained more of the variation in efflux and caused treatment to no longer have a significant effect. Based on this result, we concluded that soil temperature explains the effect of char on efflux.
DOI: 10.5281/zenodo.3800097
title: Short-term effects of biochar on soil CO2 efflux in boreal Scots pine forests

description: This dataset includes all the data we collected at the first summer after biochar application in boreal forests. Our paper“ the effect of biochar on soil CO<sub>2</sub> efflux in boreal forests“ now is under review in Annals of Forest Science. Biochar prepared at two reaction temperatures was applied at three rates (including non-amended controls). During the first year after treatment, efflux increased with higher rates of biochar, but the reaction temperature had no effect. o explain char effects on efflux, soil moisture and temperature were also added to the model testing treatment effects. These environmental variables explained more of the variation in efflux and caused treatment to no longer have a significant effect. Based on this result, we concluded that soil temperature explains the effect of char on efflux.
DOI: 10.5281/zenodo.3801642
title: FoodGo Test Dataset

description: These CSV files provide a base dataset for testing the FoodGo system that schedules the pick-ups and drop-offs of food donations from donors to nonprofits. The first file, foodgo-order.csv, specifies 500 orders. Each row in the file contains an order id, the quantity of the order in a standard unit, whether or not the order is perishable, and the location coordinates and the time-windows for the pick-up and the drop-offs. The second file, food go-volunteers.csv. specifies 50 volunteers. Each row has the volunteer id, the capacity that the vehicle has in a standard unit, the locations of where the volunteer begins and ends hers or his availability, and the availability window. Times are represented in a simple integer format where the thousands and hundreds digits represent the hours and the tens and ones digits represent the minutes. The availabilities in the foodgo-volunteers dataset are represented as a JSON array, with each subarray representing the start and end of a time window in which the volunteer is available to transport orders.
DOI: 10.3886/e117466v5
title: Data and Code for: Rich Pickings? Risk, Return, and Skill in Household Wealth

description: We investigate wealth returns on an administrative panel containing the disaggregated balance sheets of Swedish residents. The expected return on household net wealth is strongly persistent, determined primarily by systematic risk, and increasing in net worth, exceeding the risk-free rate by the size of the equity premium for households in the top 0.01%. Idiosyncratic risk is transitory but generates substantial long-term dispersion in returns in top brackets. Systematic and idiosyncratic risk both drive the cross-sectional distribution of the geometric average return over a generation. Furthermore, wealth returns explain most of the historical increase in top wealth shares.<br><br><br><br>