cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4710656
title: GRACE-FO/ECOSTRESS synergies constrain fine-scale impacts on large-scale water balance

description: This file contains the time series of monthly evapotranspiration from the 13 HUC6 basins analyzed in the North American west and southwest which accompany the article 'GRACE-FO/ECOSTRESS synergies constrain fine-scale impacts on large-scale water balance'. The evapotranspiration is from 4 different sources: NLDAS-2 (publicly available to download online from https://disc.gsfc.nasa.gov/datasets?keywords=NLDAS), ECOSTRESS (publicly available to download online from https://lpdaacsvc.cr.usgs.gov/appeears/), GRACE-based (calculated with the water balance approach (Evapotranspiration = Precipitation - Runoff - change in total water storage) using publicly available MERRA-2 precipitation (https://disc.gsfc.nasa.gov/datasets?project=MERRA-2), United States Geological Survey streamflow (https://waterdata.usgs.gov/nwis/) and GRACE total water storage anomaly data (https://podaac.jpl.nasa.gov/dataset/TELLUS_GRAC-GRFO_MASCON_CRI_GRID_RL06_V2). The MODIS evapotranspiration timeseries were obtained from a dataset created by G. Halverson (reference: Halverson, G. (2018), Near Real-Time Monitoring of Global Evapotranspiration and its Application to Water Resource Management, California State University, Northridge, Northridge, California.) The evapotranspiration data has been aggregated to monthly for all data sets. For ECOSTRESS data which is daily, the monthly aggregate was created by averaging over all available ECOSTRESS observations in each month of record. The timeseries are available from 2003 to 2019 for ET-GRACE, MODIS and NLDAS-2, and available for 2019 for ECOSTRESS. Units are in mm / day.
DOI: 10.5517/ccdc.csd.cc229fpj
title: CCDC 1915697: Experimental Crystal Structure Determination

description: Related Article: Shuaifeng Hu, Pei Zhao, Wangqiang Shen, Pengyuan Yu, Wenhuan Huang, Masahiro Ehara, Yunpeng Xie, Takeshi Akasaka, Xing Lu|2019|Nanoscale|11|13415|doi:10.1039/c9nr04330f
DOI: 10.5517/ccdc.csd.cc229fqk
title: CCDC 1915698: Experimental Crystal Structure Determination

description: Related Article: Shuaifeng Hu, Pei Zhao, Wangqiang Shen, Pengyuan Yu, Wenhuan Huang, Masahiro Ehara, Yunpeng Xie, Takeshi Akasaka, Xing Lu|2019|Nanoscale|11|13415|doi:10.1039/c9nr04330f
DOI: 10.5517/ccdc.csd.cc229frl
title: CCDC 1915699: Experimental Crystal Structure Determination

description: Related Article: Shuaifeng Hu, Pei Zhao, Wangqiang Shen, Pengyuan Yu, Wenhuan Huang, Masahiro Ehara, Yunpeng Xie, Takeshi Akasaka, Xing Lu|2019|Nanoscale|11|13415|doi:10.1039/c9nr04330f
DOI: 10.5281/zenodo.4710581
title: ParaView files of mantle flow model gcm11

description: This is the mantle flow model (gcm11) results readable in ParaView.
DOI: 10.5281/zenodo.4710580
title: ParaView files of mantle flow model gcm11

description: This is the mantle flow model (gcm11) results readable in ParaView.
DOI: 10.6084/m9.figshare.14466264.v1
title: data for MEC6.pdf

description: The data for time period of oscillation of different shapes in basic Physics Lab experiment
DOI: 10.6084/m9.figshare.14466264
title: data for MEC6.pdf

description: The data for time period of oscillation of different shapes in basic Physics Lab experiment
DOI: 10.5281/zenodo.4707750
title: Experimental Characterization of Crosstalk Errors with Simultaneous Gate Set Tomography: Supplemental Materials

description: This is the supplemental data and code for “Experimental Characterization of Crosstalk Errors with Simultaneous Gate Set Tomography.” The preprint for this manuscript can be found at arXiv:2103.09890. Please direct any questions to Kevin Young (kyoung@sandia.gov).
DOI: 10.5281/zenodo.4706089
title: Experimental Characterization of Crosstalk Errors with Simultaneous Gate Set Tomography: Supplemental Materials

description: This is the supplemental data and code for “Experimental Characterization of Crosstalk Errors with Simultaneous Gate Set Tomography.” The preprint for this manuscript can be found at arXiv:2103.09890. Please direct any questions to Kevin Young (kyoung@sandia.gov).
DOI: 10.5281/zenodo.4710691
title: viralrecall_v2.0_hmms

description: These are HMMs used by ViralRecall v 2.0
description: {"references": ["https://www.mdpi.com/1999-4915/13/2/150"]}
DOI: 10.5281/zenodo.4710690
title: viralrecall_v2.0_hmms

description: These are HMMs used by ViralRecall v 2.0
description: {"references": ["https://www.mdpi.com/1999-4915/13/2/150"]}
DOI: 10.6084/m9.figshare.14466276
title: Weighted Overlay Inputs

description: Input shapefiles for the Weighted Overlay Lab of UWSP's WATR 391 GIS course.
DOI: 10.5281/zenodo.4673758
title: French unnamed entities

description: A set of unnamed entities in French. (unnamed entities are named entities described by a periphrasis)
description: version 1.0 contains some double entries. data compiled from linguistic ressources and from Wikipedia lists: https://fr.wikipedia.org/wiki/Liste_de_p%C3%A9riphrases_d%C3%A9signant_des_villes https://fr.wikipedia.org/wiki/Liste_de_p%C3%A9riphrases_d%C3%A9signant_des_pays
DOI: 10.15468/hp36az
title: Two new species of Tingidae (Hemiptera: Heteroptera) from Panama

description: This dataset contains the digitized treatments in Plazi based on the original journal article Knudson, Alexander H., Rider, David A., Knodel, Janet J. (2021): Two new species of Tingidae (Hemiptera: Heteroptera) from Panama. Zootaxa 4958 (1): 334-344, DOI: https://doi.org/10.11646/zootaxa.4958.1.20
DOI: 10.5281/zenodo.4708792
title: Footprints of COVID-19 in a Tien-Shan glacier

description: This dataset is accompanying with the manuscript "<strong>Air pollutants in Xinjiang during the COVID-19 pandemic and glaciochemical records of a Tien-Shan glacier</strong>" submitted to Science Advances on April 22, 2021.
DOI: 10.5281/zenodo.4708791
title: Footprints of COVID-19 in a Tien-Shan glacier

description: This dataset is accompanying with the manuscript "<strong>Air pollutants in Xinjiang during the COVID-19 pandemic and glaciochemical records of a Tien-Shan glacier</strong>" submitted to Science Advances on April 22, 2021.
DOI: 10.15468/7m9ufb
title: An updated Checklist of the Mediterranean fishes of Israel, with illustrations of recently recorded species and delineation of Lessepsian migrants

description: This dataset contains the digitized treatments in Plazi based on the original journal article Golani, Daniel (2021): An updated Checklist of the Mediterranean fishes of Israel, with illustrations of recently recorded species and delineation of Lessepsian migrants. Zootaxa 4956 (1): 1-108, DOI: https://doi.org/10.11646/zootaxa.4956.1.1
DOI: 10.5066/p9l7kw0w
title: Daily reference and potential evapotranspiration, and supporting meteorological data from weather stations, solar insolation data from the GOES satellite, and blue-sky albedo data from the MODIS satellite, Florida, 2019

description: Potential evapotranspiration (PET), and reference evapotranspiration (ETo) are estimated at an approximately 2-kilometer (approximately 0.019 degrees longitude and 0.018 degrees latitude) spatial grid and daily time-scale from January 1, 2019 to December 31, 2019 for the entire State of Florida. PET and ETo were computed on the basis of solar radiation, meteorological data (minimum/maximum temperature, minimum/maximum relative humidity, and mean wind speed at 2-meter height), and shortwave blue-sky albedo data for 2019. Solar radiation was computed from Geostationary Operational Environmental Satellite (GOES) sensor data; blue-sky albedo was computed from the Moderate Resolution Imaging Spectrometer (MODIS) MCD43A1 BRDF/Albedo data product; and meteorological data were obtained from weather stations maintained by the Florida Automated Weather Network (FAWN), the South Florida Water Management District (SFWMD), and the National Oceanic and Atmospheric Administration (NOAA). Open source tools for managing the NetCDF files in this data release can be found at https://github.com/jbellino-usgs/Florida-GOES-ET.
DOI: 10.5066/p9y8vtqc
title: Daily reference and potential evapotranspiration, and supporting meteorological, solar insolation, and blue-sky albedo, Florida, 2019

description: Potential evapotranspiration (PET), and reference evapotranspiration (ETo) are estimated at an approximately 2-kilometer (approximately 0.019 degrees longitude and 0.018 degrees latitude) spatial grid and daily time-scale from January 1, 2019 to December 31, 2019 for the entire State of Florida. PET and ETo were computed on the basis of solar radiation, meteorological data (minimum/maximum temperature, minimum/maximum relative humidity, and mean wind speed at 2-meter height), and shortwave blue-sky albedo data for 2019. Solar radiation was computed from Geostationary Operational Environmental Satellite (GOES) sensor data, blue-sky albedo was computed from the Moderate Resolution Imaging Spectrometer (MODIS) MCD43A1 BRDF/Albedo data product, and meteorological data were obtained from the National Centers for Environmental Prediction (NCEP) North American Regional Reanalysis (NARR). Open source tools for managing the NetCDF files in this data release can be found at https://github.com/jbellino-usgs/Florida-GOES-ET.
DOI: 10.15468/ahwptn
title: Biological, ecological, morphological and cytogenetic analyses, with taxonomic notes of Zelurus ochripennis (Stål, 1854) (Hemiptera: Heteroptera: Reduviidae Reduviinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Oliveira, Jader, Alevi, Kaio Cesar Chaboli, Gil-Santana, Hélcio R., Galvão, Cleber (2021): Biological, ecological, morphological and cytogenetic analyses, with taxonomic notes of Zelurus ochripennis (Stål, 1854) (Hemiptera: Heteroptera: Reduviidae Reduviinae). Zootaxa 4958 (1): 345-358, DOI: https://doi.org/10.11646/zootaxa.4958.1.21
DOI: 10.15468/8cdwvx
title: A new species of Cosmoclopius Stål, 1866 from Argentina (Hemiptera, Reduviidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Varela, Pablo S., Melo, Maria Cecilia (2021): A new species of Cosmoclopius Stål, 1866 from Argentina (Hemiptera, Reduviidae). Zootaxa 4958 (1): 359-365, DOI: https://doi.org/10.11646/zootaxa.4958.1.22
DOI: 10.34740/kaggle/dsv/2148101
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.14461866
title: Data and codes for "Decreasing tidal river discharge from upstream overexploitation increases downstream flooding"

description: Matlab codes and time series data used in the development of the paper "Decreasing tidal river discharge from upstream overexploitation increases downstream flooding".<br>All time series data are in .mat and in .csv formats:- PVCA02: Water level data in m in the tidal segment of the Tempique river. Station coordinate: 10.325°N; 85.340°W.<br>- TWCA01: Discharge data in m<sup>3</sup>/s in the Tempisque river. Station coordinate: 10.564°N; 85.593°W<br><br>- PVRN01: Rainfall data in mm/day. Station location: 10.340°N; 85.344°W<br>- TWRN45: Rainfall data in mm/day. Station coordinate: 10.750°N; 85.383°W<br>- simQfrRN01: Modeled discharge for the Tempisque river following the method presented in the paper.
DOI: 10.6084/m9.figshare.14461866.v2
title: Data and codes for "Decreasing tidal river discharge from upstream overexploitation increases downstream flooding"

description: Matlab codes and time series data used in the development of the paper "Decreasing tidal river discharge from upstream overexploitation increases downstream flooding".<br>All time series data are in .mat and in .csv formats:- PVCA02: Water level data in m in the tidal segment of the Tempique river. Station coordinate: 10.325°N; 85.340°W.<br>- TWCA01: Discharge data in m<sup>3</sup>/s in the Tempisque river. Station coordinate: 10.564°N; 85.593°W<br><br>- PVRN01: Rainfall data in mm/day. Station location: 10.340°N; 85.344°W<br>- TWRN45: Rainfall data in mm/day. Station coordinate: 10.750°N; 85.383°W<br>- simQfrRN01: Modeled discharge for the Tempisque river following the method presented in the paper.
DOI: 10.6084/m9.figshare.14461866.v1
title: Data and codes for "Decreasing tidal river discharge from upstream overexploitation increases downstream flooding"

description: Matlab codes and and data used in the development of the paper "Decreasing tidal river discharge from upstream overexploitation increases downstream flooding".
DOI: 10.25810/ns7n-vh24.15
title: African Newspaper Coverage of Climate Change or Global Warming, 2004-2021 - March 2021

description:         The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5281/zenodo.4710066
title: Data for Festa et al 2021 - Neuronal variability reflects probabilistic inference tuned to natural image statistics

description: This data is associated to the following paper: Festa D., Aschner A, Davila A, Kohn A, Coen-Cagli R. Neuronal variability reflects probabilistic inference tuned to natural image statistics. The data consists of: 1) photographic natural images from the BSD500 dataset https://github.com/BIDS/BSDS, used to train the Gaussian Scale Mixture model. Model equations and implementation details are fully described in the associated paper. 2) multi-electrode recordings from V1 in anesthetized and awake macaque monkeys, while natural images and gratings were flashed on the screen. Recordings were performed using “Utah” electrode arrays. Images were presented at different sizes and orientations, to quantify surround modulation of response strength and variability in single neurons. Experimental procedures and stimuli are fully described in the associated paper. Code to read in and process this dataset is provided at https://github.com/rubencoencagli/festa-et-al-2020 . The code reproduces the main figures of the associated paper.
description: This work was supported by NIH grants EY030578 and EY021371.
DOI: 10.5281/zenodo.4710065
title: Data for Festa et al 2021 - Neuronal variability reflects probabilistic inference tuned to natural image statistics

description: This data is associated to the following paper: Festa D., Aschner A, Davila A, Kohn A, Coen-Cagli R. Neuronal variability reflects probabilistic inference tuned to natural image statistics. The data consists of: 1) photographic natural images from the BSD500 dataset https://github.com/BIDS/BSDS, used to train the Gaussian Scale Mixture model. Model equations and implementation details are fully described in the associated paper. 2) multi-electrode recordings from V1 in anesthetized and awake macaque monkeys, while natural images and gratings were flashed on the screen. Recordings were performed using “Utah” electrode arrays. Images were presented at different sizes and orientations, to quantify surround modulation of response strength and variability in single neurons. Experimental procedures and stimuli are fully described in the associated paper. Code to read in and process this dataset is provided at https://github.com/rubencoencagli/festa-et-al-2020 . The code reproduces the main figures of the associated paper.
description: This work was supported by NIH grants EY030578 and EY021371.
DOI: 10.6084/m9.figshare.14466288
title: Data and software for "Detecting OpenStreetMap missing buildings by transferring pre-trained deep neural networks"

description: Data and software for reproducing workflow described in a short conference paper "Detecting OpenStreetMap missing buildings by transferring pre-trained deep neural networks" submitted for AGILE 2021
DOI: 10.25345/c5r22s
title: MassIVE MSV000087283 - troubleshoot 80194 test test test test test test test test test test
title: troubleshoot 80194 test test test test test test test test test test troubleshoot 80194 test test test test test test test test test test troubleshoot 80194 test test test test test test test test test test troubleshoot 80194 test test test test test test test test test test troubleshoot 80194 test test test test test test test test test test troubleshoot 80194 test test test test test test test test test test
DOI: 10.15468/kh7gu5
title: Four new species of Heza Amyot & Audinet-Serville (Heteroptera: Reduviidae Harpactorinae) from the Neotropics

description: This dataset contains the digitized treatments in Plazi based on the original journal article Swanson, Daniel R. (2021): Four new species of Heza Amyot & Audinet-Serville (Heteroptera: Reduviidae Harpactorinae) from the Neotropics. Zootaxa 4958 (1): 366-379, DOI: https://doi.org/10.11646/zootaxa.4958.1.23
DOI: 10.15468/8bv2ck
title: Tagalis graziae, a new species of Saicinae from the Chocó biogeographic region in Colombia (Hemiptera: Reduviidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Castro-Huertas, Valentina, Forero, Dimitri (2021): Tagalis graziae, a new species of Saicinae from the Chocó biogeographic region in Colombia (Hemiptera: Reduviidae). Zootaxa 4958 (1): 380-387, DOI: https://doi.org/10.11646/zootaxa.4958.1.24
DOI: 10.5281/zenodo.3936663
title: Dataset on Code Smells Surveys

description: DESCRIPTION This dataset contains the structure, collected data and descriptive statistics of responses to 3 surveys on code smells detection and visualization aimed at validating the conclusions of [1]. These surveys were administered stepwise: pre-test for identifying unclear questions and collecting suggestions for improvement; the 27 respondents were Portuguese researchers in the area of Software Engineering; improved survey (based on pre-test improvement suggestions) sent to the 193 authors of the primary papers on code smells detection covered in [1]; further improved/customized survey sent to authors of published work on software visualization in at least one of its two major conferences (VisSoft and/or SoftVis), taken from the SLR of Merino et al. [2], complemented by answers obtained through an announcement on this survey publicized in the SoftVis blog (https://softvis.wordpress.com/). AVAILABLE FILES <strong><em>PreTest_Questionnaire.pdf</em></strong> describes the structure of the pre-test; <em><strong>PreTest_Results.csv </strong></em>contains the responses collected during the pre-test (CVS format); <em><strong>PreTest_Responses.pdf </strong></em>contains descriptive statistics on the responses collected during the pre-test; <strong><em>DetectionExperts_Questionnaire.pdf</em></strong> describes the structure of the survey targeted to code smells detection experts; <strong><em>DetectionExperts_Results.csv </em></strong>contains the responses collected from the code smells detection experts (CVS format); <strong><em>DetectionExperts_Responses.pdf </em></strong>contains descriptive statistics on the responses produced by the code smells detection experts; <strong><em>VisualizationExperts_Questionnaire.pdf</em></strong> describes the structure of the survey targeted to software visualization experts; <em><strong>Visualization</strong></em><strong><em>Experts_Resul</em></strong><em><strong>ts.csv </strong></em>contains the responses collected from the software visualization experts (CVS format); <em><strong>Visualization</strong></em><strong><em>Experts_Res</em></strong><em><strong>ponses.pdf </strong></em>contains descriptive statistics of the responses produced by the software visualization experts. REFERENCES [1] Pereira dos Reis J, Brito e Abreu F, Figueiredo Carneiro G, Anslow C (2020) Code smells detection and visualization: a systematic literature review. Archives of Computational Methods in Engineering, Springer (submitted) [2] Merino L, Ghafari M, Anslow C, Nierstrasz O (2018) A systematic literature review of software visualization evaluation. Journal of Systems and Software, 144:165 –180, Elsevier, DOI https://doi.org/10.1016/j.jss.2018.06.027
DOI: 10.5281/zenodo.3936662
title: Dataset on Code Smells Surveys

description: DESCRIPTION This dataset contains the structure, collected data and descriptive statistics of responses to 3 surveys on code smells detection and visualization aimed at validating the conclusions of [1]. These surveys were administered stepwise: pre-test for identifying unclear questions and collecting suggestions for improvement; the 27 respondents were Portuguese researchers in the area of Software Engineering; improved survey (based on pre-test improvement suggestions) sent to the 193 authors of the primary papers on code smells detection covered in [1]; further improved/customized survey sent to authors of published work on software visualization in at least one of its two major conferences (VisSoft and/or SoftVis), taken from the SLR of Merino et al. [2], complemented by answers obtained through an announcement on this survey publicized in the SoftVis blog (https://softvis.wordpress.com/). AVAILABLE FILES <strong><em>PreTest_Questionnaire.pdf</em></strong> describes the structure of the pre-test; <em><strong>PreTest_Results.csv </strong></em>contains the responses collected during the pre-test (CVS format); <em><strong>PreTest_Responses.pdf </strong></em>contains descriptive statistics on the responses collected during the pre-test; <strong><em>DetectionExperts_Questionnaire.pdf</em></strong> describes the structure of the survey targeted to code smells detection experts; <strong><em>DetectionExperts_Results.csv </em></strong>contains the responses collected from the code smells detection experts (CVS format); <strong><em>DetectionExperts_Responses.pdf </em></strong>contains descriptive statistics on the responses produced by the code smells detection experts; <strong><em>VisualizationExperts_Questionnaire.pdf</em></strong> describes the structure of the survey targeted to software visualization experts; <em><strong>Visualization</strong></em><strong><em>Experts_Resul</em></strong><em><strong>ts.csv </strong></em>contains the responses collected from the software visualization experts (CVS format); <em><strong>Visualization</strong></em><strong><em>Experts_Res</em></strong><em><strong>ponses.pdf </strong></em>contains descriptive statistics of the responses produced by the software visualization experts. REFERENCES [1] Pereira dos Reis J, Brito e Abreu F, Figueiredo Carneiro G, Anslow C (2020) Code smells detection and visualization: a systematic literature review. Archives of Computational Methods in Engineering, Springer (submitted) [2] Merino L, Ghafari M, Anslow C, Nierstrasz O (2018) A systematic literature review of software visualization evaluation. Journal of Systems and Software, 144:165 –180, Elsevier, DOI https://doi.org/10.1016/j.jss.2018.06.027
DOI: 10.25810/558f-c477.36
title: Australian Newspaper Coverage of Climate Change or Global Warming, 2000-2021 - March 2021

description:         The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.3886/e111743v2-84580
title: Data and Code for: Are Ideas Getting Harder to Find?

description: Long-run growth in many models is the product of two terms: the effective number of researchers and their research productivity. We present evidence from various industries, products, and firms showing that research effort is rising substantially while research productivity is declining sharply. A good example is Moore's Law. The number of researchers required today to achieve the famous doubling of computer chip density is more than 18 times larger than the number required in the early 1970s. More generally, everywhere we look we find that ideas --- and the exponential growth they imply --- are getting harder to find.