cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22354777
title: Individual Fish Totals Variable Explanations.csv

description: contains explanations for variable codes in other data sets.
DOI: 10.6084/m9.figshare.22354777.v1
title: Individual Fish Totals Variable Explanations.csv

description: contains explanations for variable codes in other data sets.
DOI: 10.6084/m9.figshare.22354780
title: R_hatch success variable explanations.csv

description: contains explanations of variable codes in the 'hatch success' data set.
DOI: 10.6084/m9.figshare.22354780.v1
title: R_hatch success variable explanations.csv

description: contains explanations of variable codes in the 'hatch success' data set.
DOI: 10.5281/zenodo.7783273
title: CCG India Scenarios

description: Six Clic-SAND files for the analysis of targets set by the Indian government at COP-26.
DOI: 10.5281/zenodo.7783272
title: CCG India Scenarios

description: Six Clic-SAND files for the analysis of targets set by the Indian government at COP-26.
DOI: 10.26093/cds/vizier.22580011
title: The COSMOS2020 catalog

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'COSMOS2020: a panchromatic view of the Universe to z~10 from two complementary catalogs.' (bibcode: 2022ApJS..258...11W)
DOI: 10.6084/m9.figshare.22354783
title: R_prop_fert.csv

description: data set that contains proportion of collected eggs that were fertilized
DOI: 10.6084/m9.figshare.22354783.v1
title: R_prop_fert.csv

description: data set that contains proportion of collected eggs that were fertilized
DOI: 10.6084/m9.figshare.22357438
title: Egg Codes

description: contains explanations of how we coded eggs in other data sets.
DOI: 10.6084/m9.figshare.22357438.v1
title: Egg Codes

description: contains explanations of how we coded eggs in other data sets.
DOI: 10.6084/m9.figshare.22357450.v1
title: Untitled Item

description: The performance of wave reanalysis is evaluated against wave data (for Hs, Tm, Tp and Dirm) from the in-situ buoy records for each of the selected coastal locations.
DOI: 10.6084/m9.figshare.22357441
title: Supplementary Table1

description: Information regarding wave buoy data were retrieved from the “INSITU_GLO_WAVE_REP_OBSERVATIONS_013_045” dataset distributed by CMEMS (https://doi.org/10.48670/moi-00022 and https://doi.org/10.17882/70345); the Portuguese Hydrographic Institute (IH, https://www.hidrografico.pt); the EMODnet-Physics portal (https://map.emodnet-physics.eu) with the data originators being the Rijkswaterstaat Ministry of Infrastructure and Water Management and the German Federal Maritime and Hydrographic Agency (BSH); the NOAA’s National Data Buoy Center (NDBC, https://www.ndbc.noaa.gov); the Queensland Government Open Data Portal (https://www.data.qld.gov.au/dataset); the UK’s Centre for Environment Fisheries and Aquaculture Science (CEFAS) WaveNet (https://wavenet.cefas.co.uk/map, © Crown copyright, 2022); the TRANSNET & African Council for Scientific and Industrial Research (http://wavenet.csir.co.za/), collected on behalf of the Transnet National Port Authority (TNPA); the Irish Marine Institute (http://www.marine.ie/Home/site-area/data-services/real-time-observations/wave-buoys); the Italian Data Buoy Network (RON, http://dati.isprambiente.it/id/website/ronRmn).
DOI: 10.6084/m9.figshare.22357441.v1
title: Supplementary_Table1.xlsx

description: Information regarding wave buoy data were retrieved from the “INSITU_GLO_WAVE_REP_OBSERVATIONS_013_045” dataset distributed by CMEMS (https://doi.org/10.48670/moi-00022 and https://doi.org/10.17882/70345); the Portuguese Hydrographic Institute (IH, https://www.hidrografico.pt); the EMODnet-Physics portal (https://map.emodnet-physics.eu) with the data originators being the Rijkswaterstaat Ministry of Infrastructure and Water Management and the German Federal Maritime and Hydrographic Agency (BSH); the NOAA’s National Data Buoy Center (NDBC, https://www.ndbc.noaa.gov); the Queensland Government Open Data Portal (https://www.data.qld.gov.au/dataset); the UK’s Centre for Environment Fisheries and Aquaculture Science (CEFAS) WaveNet (https://wavenet.cefas.co.uk/map, © Crown copyright, 2022); the TRANSNET & African Council for Scientific and Industrial Research (http://wavenet.csir.co.za/), collected on behalf of the Transnet National Port Authority (TNPA); the Irish Marine Institute (http://www.marine.ie/Home/site-area/data-services/real-time-observations/wave-buoys); the Italian Data Buoy Network (RON, http://dati.isprambiente.it/id/website/ronRmn).
DOI: 10.5281/zenodo.7779511
title: Supporting Data and Guidance: Modeling policy pathways to maximize renewable energy growth and investment in Democratic Republic of the Congo using OSeMOSYS

description: This repository contains data files and guidance documents that are supplementary materials to accompany the policy paper "Modeling policy pathways to maximize renewable energy growth and investment in Democratic Republic of the Congo using OSeMOSYS" available on Research Square here: https://www.researchsquare.com/article/rs-2702275/v1
DOI: 10.5281/zenodo.7779510
title: Supporting Data and Guidance: Modeling policy pathways to maximize renewable energy growth and investment in Democratic Republic of the Congo using OSeMOSYS

description: This repository contains data files and guidance documents that are supplementary materials to accompany the policy paper "Modeling policy pathways to maximize renewable energy growth and investment in Democratic Republic of the Congo using OSeMOSYS" available on Research Square here: https://www.researchsquare.com/article/rs-2702275/v1
DOI: 10.6073/pasta/3c60c873c18c2d4811a084831b3f375a
title: Ice-off dates for Lake Sunapee, NH, USA, 1869-2022

description: This dataset reports observed ice-ff dates for Lake Sunapee, NH, USA from 1869 thorugh 2022. The data were maintained by the Town of Sunapee until 2021 and now the data are maintained by the Lake Sunapee Protective Association (LSPA).
DOI: 10.15468/msmxtg
title: Global Register of Introduced and Invasive Species - Yap, Federated States of Micronesia

description: The Global Register of Introduced and Invasive Species (GRIIS) presents validated and verified checklists of introduced (alien) and invasive alien species at the country level. Phase 1 of the project has focused on developing validated and verified checklists of countries that are Party to the Convention on Biological Diversity. This annotated checklist is of introduced (alien) and invasive alien species known to occur in the State of Yap, one of the four states of the Federated States of Micronesia.
DOI: 10.6073/pasta/dd60713baa41fe48193a25dd10805be9
title: Lake Sunapee Instrumented Buoy: High-Frequency Weather Data, 2007-2021

description: The Lake Sunapee/Global Lake Ecological Observatory Network (GLEON) instrumented buoy, operated by the Lake Sunapee Protective Association (LSPA www.lakesunapee.org), is equipped with meteorologic (weather) sensors. The Lake Sunapee buoy is located near Loon Island Lighthouse (43.391°N, 72.058°W) during the summer months and in the Lake Sunapee Harbor (43.386°N, 72.081°W) (2010-current) from late fall to spring. During the first few years of data collection (2007-2010), the buoy was located near Loon Island year-round. The meteorological sensors include: a LI-COR LI-190R Quantum Photosynthetically Active Radiation (PAR) sensor (May 2018 - present), an air temperature sensor (HMP50 Vaisala, 2010-present), and a wind speed/direction sensor (WXT511 Vaisala, 2009-present) sensor. These sensors are located approximately 1.7 meters above the water's surface. The buoy is also equipped with below-water surface sensors comprised of water temperature thermistors and dissolved oxygen sensors, and as of 2021, a YSI EXO multiparameter sonde. The data from the below water sensors are available in a separate dataset (EDI data package edi.499). All data in this data package have been QAQC'd to remove obviously errant readings, highly suspicious readings, and artifacts of buoy maintenance.
DOI: 10.6073/pasta/8fc8e53b0ad784437b87e2dd5d9b961a
title: Lake Sunapee Instrumented Buoy: High Frequency Water Quality Data - 2007-2021

description: The Lake Sunapee (Global Lake Ecological Observatory Network—GLEON) instrumented buoy, operated by the Lake Sunapee Protective Association (LSPA www.lakesunapee.org), is equipped with a thermistor chain, one optical dissolved oxygen probe suspended at approximately 10 meters depth (installed in 2013), and a multi-parameter sonde (installed in 2021) at 1 meter depth. An optical dissolved oxygen (DO) probe was located at 1.5 meter prior to the 2021 deployment of the multi-parameter probe from the inception of the buoy and the deep DO sensor was at 10.5 meters depth prior to 2021 since deployment. The number of thermistors and below-surface depth of the thermistors has fluctuated throughout the years and the additional water quality sensors have changed over time. The Lake Sunapee buoy is located near Loon Island Lighthouse (43.391°N, 72.058°W) during the summer months and in the Lake Sunapee Harbor (43.386°N, 72.081°W) (2010-current). During the first few years of data collection (2007-2010), the buoy was located near Loon Island year-round. In two instances, HOBO units were deployed at the buoy's location when sensors failed. This occurred in 2015 (in place of the thermistors) and in 2018 (in place of the shallow DO sensor). All data in this data package have been QAQC'd to remove obviously errant readings, highly suspicious readings, and artifacts of buoy maintenance. Additionally, flags have been added per sensor, to indicate calibration and non-calibration of the optical DO probe, location of the buoy, and to document other potential confounding observations. Dissolved oxygen data and data from the multi-parameter probe are “raw”: they are have not been corrected for calibration issues, drift, or fouling. Additional documentation and data are provided including manual DO measurements, visual comparisons of buoy-recorded DO and manual DO measurements, and an overview of how and where DO offsets applied in the data logger program were removed.
DOI: 10.6084/m9.figshare.22357459
title: Supplementary Table 3

description: Results of the individual calibration of WAVERYS and ERA5 wave reanalysis against wave data from 326 coastal buoys.
DOI: 10.6084/m9.figshare.22357450
title: Supplementary Table 2

description: The performance of WAVERYS and ERA5 wave reanalysis is evaluated against wave data (for Hs, Tm, Tp and Dirm) from the in-situ buoy records for each of the selected coastal locations.
DOI: 10.6084/m9.figshare.22357450.v2
title: Supplemental Table 2

description: The performance of wave reanalysis is evaluated against wave data (for Hs, Tm, Tp and Dirm) from the in-situ buoy records for each of the selected coastal locations.
DOI: 10.6073/pasta/7f06441e8c200b6429dee520a3cc3366
title: Monthly Vegetation and Invertebrate Population Monitoring near the Georgia Coastal Ecosystems LTER Flux Tower

description: Permanent study plots were established in a Spartina alterniflora-dominated marsh in the vicinity of the Georgia Coastal Ecosystems LTER Flux Tower to provide measurements of plant biomass and invertebrate population density over time for comparison with marsh-atmospheric CO2 exchange. Six replicate plots were randomly placed within each of three height zones of Spartina alterniflora (i.e. short, medium and tall Spartina). Beginning in June 2013, surveys were conducted approximately monthly to determine abundance of Littoraria irrorata, Prokelisia marginata, and grasshoppers in each plot. Plant species, stem density, height, and flowering status were also measured in each of the plots, and biomass was calculated using allometric relationships between plant height, flowering status and mass from plant clipping studies. During these surveys, destructive core sampling was also performed in the proximity of the plots (n = 2 per zone - additional cores collected some months in 2014 and 2016) to measure above and below ground biomass for each Spartina zone. Beginning in February 2016, chlorophyll measurements were taken in the proximity of the plots in each Spartina zone (n = 15 per zone).
DOI: 10.6084/m9.figshare.22357408
title: Supplementary Dataset.xlsx

description: <strong>Quantitative data related to all main and supplementary figures: </strong>RNA-seq data (DEG list), list of primers used, leaf-level gas exchange data, anatomical data from light and confocal microscopy, quantitative data from histochemical experiments (autofluorescence and lignin stainings), and statistical analyses.
DOI: 10.3886/e132281
title: Data and Code for: DETERring Deforestation in the Amazon: Environmental Monitoring and Law Enforcement

description: This is the replication package (data and code) that accompanies the article "DETERring Deforestation in the Amazon: Environmental Monitoring and Law Enforcement". In the article, we study Brazil's recent use of satellite technology to overcome law enforcement shortcomings resulting from weak institutional environments. DETER is a system that processes satellite imagery and issues near-real-time deforestation alerts to target environmental enforcement in the Amazon. We propose a novel instrumental variable approach for estimating enforcement's impact on deforestation. Clouds limiting DETER's capacity to detect clearings serve as a source of exogenous variation for the presence of environmental authorities. Findings indicate that monitoring and enforcement effectively curbed deforestation. Results are not driven by the displacement of illegal activity intoneighboring areas, and hold across several robustness checks.
description: Municipalities in the Brazilian Amazon Biome.
description: Processing of the entire replication package is time-consuming, due to processing of GIS data for database construction. Please refer to the README file for details and see individual processing times noted in each script.
DOI: 10.3886/e132281v1
title: Data and Code for: DETERring Deforestation in the Amazon: Environmental Monitoring and Law Enforcement

description: This is the replication package (data and code) that accompanies the article "DETERring Deforestation in the Amazon: Environmental Monitoring and Law Enforcement". In the article, we study Brazil's recent use of satellite technology to overcome law enforcement shortcomings resulting from weak institutional environments. DETER is a system that processes satellite imagery and issues near-real-time deforestation alerts to target environmental enforcement in the Amazon. We propose a novel instrumental variable approach for estimating enforcement's impact on deforestation. Clouds limiting DETER's capacity to detect clearings serve as a source of exogenous variation for the presence of environmental authorities. Findings indicate that monitoring and enforcement effectively curbed deforestation. Results are not driven by the displacement of illegal activity intoneighboring areas, and hold across several robustness checks.
description: Municipalities in the Brazilian Amazon Biome.
description: Processing of the entire replication package is time-consuming, due to processing of GIS data for database construction. Please refer to the README file for details and see individual processing times noted in each script.
DOI: 10.5519/qd.dq9g8ikw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (400 records)
DOI: 10.5281/zenodo.6629418
title: Air mass factor tables for "Spherical Deterministic Air Mass Factors in One and Two Dimensions" by Fehr et al.

description: Air mass factor tables linked in "Spherical Deterministic Air Mass Factors in One and Two Dimensions" by Fehr et al. which is to be submitted to the Journal of Quantitative Spectroscopy and Radiative Transfer. The tables were used in "High-Resolution Mapping of Nitrogen Dioxide With TROPOMI: First Results and Validation Over the Canadian Oil Sands" (2018, https://doi.org/10.1029/2018GL081095) and "Biomass burning nitrogen dioxide emissions derived from space with TROPOMI: methodology and validation" (2021, https://doi.org/10.5194/amt-2021-223) by Griffin et al. Data is in NETCDF4 format.
DOI: 10.5281/zenodo.7783262
title: Data and source code for "Spherical Air Mass Factors in One and Two Dimensions with SASKTRAN 1.6.0"

description: Supplementary data for "Spherical Air Mass Factors in One and Two Dimensions with SASKTRAN 1.6.0": source: source code and data required to reproduce all figures amf-tables: data in NETCDF4 format for the air mass factor tables discussed in Section 5, which were used in the following publications by Griffin et al.: "High-Resolution Mapping of Nitrogen Dioxide With TROPOMI: First Results and Validation Over the Canadian Oil Sands" (2018, https://doi.org/10.1029/2018GL081095) "Biomass burning nitrogen dioxide emissions derived from space with TROPOMI: methodology and validation" (2021, https://doi.org/10.5194/amt-2021-223)
DOI: 10.5281/zenodo.5257748
title: Dataset from 'Klever, L., Mamassian, P., & Billino, J. (2022). Age-related differences in visual confidence are driven by individual differences in cognitive control capacities. Scientific Reports, 12, 1-13. doi: 10.1038/s41598-022-09939-7

description: We provide two files; one data file contains data on which analyses are based, the other one gives the column labels for the data file. ___________________________________________<br> For further questions, please contact:<br> lena.klever[at]psychol.uni-giessen.de
description: This research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project number 222641018 – SFB/TRR 135 TP B5
DOI: 10.5281/zenodo.5257747
title: Dataset from 'Klever, L., Mamassian, P., & Billino, J. (2022). Age-related differences in visual confidence are driven by individual differences in cognitive control capacities. Scientific Reports, 12, 1-13. doi: 10.1038/s41598-022-09939-7

description: We provide two files; one data file contains data on which analyses are based, the other one gives the column labels for the data file. ___________________________________________<br> For further questions, please contact:<br> lena.klever[at]psychol.uni-giessen.de
description: This research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project number 222641018 – SFB/TRR 135 TP B5
DOI: 10.3886/e134661v1-135002
title: Data and Code for: Healthcare Rationing in Public Insurance Programs: Evidence from Medicaid

description: We study two mechanisms used by public health insurance programs for rationing healthcare: outsourcing to private managed care plans and quantity limits for prescription drugs. Leveraging a natural experiment in Texas's Medicaid program, we find that the shift to managed care and the relaxation of a strict drug cap increased access to high-value drugs and outpatient services and reduced avoidable hospitalizations. Program costs increased significantly, indicating a trade-off between cost and quality. We provide suggestive evidence attributing the reduction in hospitalizations to the relaxation of the drug cap and much of the spending increase to the shift to managed care.
description: Adult disabled Medicaid beneficiaries in Texas.
description: Research identifiable data accessed from the Centers for Medicare and Medicaid Services (CMS) through a data use agreement with the National Bureau of Economic Research (NBER). Code is provided, researcher must get their own data use agreement for most of the data.
DOI: 10.5281/zenodo.7783247
title: Data set from a representative survey on artificial intelligence in Germany

description: Data on the perception of medical artificial intelligence in Germany is currently lacking. Two online surveys were launched in Germany in 2021 to assess the knowledge and perception of artificial intelligence in general and in medicine, including the management of data in medicine. A total of 1,001 and 1,000 adults participated in the surveys. The data collected and the questionnaires will be published.
description: Accepted for publication by J Biotechnol Biomed (2023).
DOI: 10.5281/zenodo.7783246
title: Data set from a representative survey on artificial intelligence in Germany

description: Data on the perception of medical artificial intelligence in Germany is currently lacking. Two online surveys were launched in Germany in 2021 to assess the knowledge and perception of artificial intelligence in general and in medicine, including the management of data in medicine. A total of 1,001 and 1,000 adults participated in the surveys. The data collected and the questionnaires will be published.
description: Accepted for publication by J Biotechnol Biomed (2023).
DOI: 10.25921/6he0-n120
title: EM2040 Water Column Sonar Data Collected During H13625
DOI: 10.6084/m9.figshare.22357492
title: ICSE 2024 Social network-based centrality rating for Rust developers

description: We will soon upload the anonymyzed dataset
DOI: 10.6084/m9.figshare.22357492.v1
title: ICSE 2024 Social network-based centrality rating for Rust developers

description: We will soon upload the anonymyzed dataset
DOI: 10.34740/kaggle/dsv/5173996
title: Public Things
DOI: 10.5281/zenodo.7783368
title: De novo assembly of a long-read Amblyomma americanum genome (NCBI/Genbank deposited genome)

description: Genome assembly of Amblyomma americanum generated from PacBio HiFi sequencing of 50 individual female ticks. This repository contains the phased pseudo-haploid tick genome generated after assembly using Flye, phasing using Purge_Dups, and clean-up using custom python scripts generated in-house. NCBI Bioproject: PRJNA932813
DOI: 10.5281/zenodo.7783367
title: De novo assembly of a long-read Amblyomma americanum genome (NCBI/Genbank deposited genome)

description: Genome assembly of Amblyomma americanum generated from PacBio HiFi sequencing of 50 individual female ticks. This repository contains the phased pseudo-haploid tick genome generated after assembly using Flye, phasing using Purge_Dups, and clean-up using custom python scripts generated in-house. NCBI Bioproject: PRJNA932813
DOI: 10.57967/hf/0488
title: Add2DLattice
DOI: 10.5281/zenodo.7394915
title: Datenset zur Maserarbeit: "Analyse der künftugen städtische Wärmeversorgung anhand einer Fallstudie in Augsburg"

description: Dieser Datensatz ist eine Ergänzung zur Masterarbeit "Analyse der künftugen städtische Wärmeversorgung anhand einer Fallstudie in Augsburg" an der Technischen Universität München.<br> Diese Daten sind die Optimierungsergebnisse von urbs-MIP, einem Energieoptimierungstool des Lehrstuhls für Erneuerbare und Nachhaltige Energiesysteme (URL: https://github.com/tum-ens/urbs), und bilden die optimale Energieversorgung spezifischer Gebäude in unterschiedlichen Szenarien ab.
DOI: 10.5281/zenodo.7394914
title: Datenset zur Maserarbeit: "Analyse der künftugen städtische Wärmeversorgung anhand einer Fallstudie in Augsburg"

description: Dieser Datensatz ist eine Ergänzung zur Masterarbeit "Analyse der künftugen städtische Wärmeversorgung anhand einer Fallstudie in Augsburg" an der Technischen Universität München.<br> Diese Daten sind die Optimierungsergebnisse von urbs-MIP, einem Energieoptimierungstool des Lehrstuhls für Erneuerbare und Nachhaltige Energiesysteme (URL: https://github.com/tum-ens/urbs), und bilden die optimale Energieversorgung spezifischer Gebäude in unterschiedlichen Szenarien ab.
DOI: 10.6084/m9.figshare.22357594
title: ADESÃO DOS MUNICÍPIOS AO PROGRAMA INFORMATIZA APS DO SISTEMA ÚNICO DE SAÚDE NO BRASIL: UM CAMINHO À EQUIDADE EM SAÚDE DIGITAL?

description: Os dados apresentados são resultados de uma pesquisa que tem por objetivo avaliar a relação entre fatores socioeconômicos, de infraestrutura digital e o contexto de adesão dos municípios brasileiros ao “Programa Informatiza APS” na perspectiva do fortalecimento da equidade em saúde.