cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7925/drs1.ucdlib_31305
title: Clarendon Street Hotel

description: Consists of an orthorectified image of the structure in Adobe PhotoShop (PSD) format. The orthorectified image has been derived from one or more photographic images that are included as layers in the original Adobe PhotoShop (PSD) file. The composite and all other image layers have been extracted and saved in TIFF image files, and JPEG files in various resolutions have been derived from the flattened image layer to facilitate inspection.
description: RC Frame structure, 7 levels above ground.
description: Funded by an award from the Irish Research Council for Science, Engineering and Technology (IRCSET), Embark Initiative Postgraduate Scholarship, grant identifier RS/2011/435.
DOI: 10.7925/drs1.ucdlib_31307
title: 29-30 Dawson Street, Dublin

description: Consists of an orthorectified image of the structure in Adobe PhotoShop (PSD) format. The orthorectified image has been derived from one or more photographic images that are included as layers in the original Adobe PhotoShop (PSD) file. The composite and all other image layers have been extracted and saved in TIFF image files, and JPEG files in various resolutions have been derived from the flattened image layer to facilitate inspection.
description: Brickwork structure, 4 levels above ground, constructed 1800.
description: Dublin City Council, Record of Protected Structures (2010), no. 2261
description: Funded by an award from the Irish Research Council for Science, Engineering and Technology (IRCSET), Embark Initiative Postgraduate Scholarship, grant identifier RS/2011/435.
DOI: 10.7925/drs1.ucdlib_31309
title: 32 Dawson Street, Dublin 2, Ireland

description: Consists of an orthorectified image of the structure in Adobe PhotoShop (PSD) format. The orthorectified image has been derived from one or more photographic images that are included as layers in the original Adobe PhotoShop (PSD) file. The composite and all other image layers have been extracted and saved in TIFF image files, and JPEG files in various resolutions have been derived from the flattened image layer to facilitate inspection.
description: Brickwork structure, 4 levels above ground, constructed 1920.
description: Dublin City Council, Record of Protected Structures (2010), no. 2262
description: Funded by an award from the Irish Research Council for Science, Engineering and Technology (IRCSET), Embark Initiative Postgraduate Scholarship, grant identifier RS/2011/435.
DOI: 10.5061/dryad.23d13/3
title: Rainfall data Van Hooft et al. 2014

description: Annual rainfall data Kruger NP. Data were obtained from the South African Weather Service.
DOI: 10.5061/dryad.2s71b/1
title: modis

description: Modis observations from 2002 forward, first column is the day of year, second column the observation and third column observation uncertainty
DOI: 10.5061/dryad.2s71b/2
title: ED2

description: Model estimate for four hour time windows. First column is the running day of year since January 1st 2002 and second column if the model prediction for that day.
DOI: 10.5061/dryad.2s71b/3
title: est

description: State estimation for eight day time window. First column is the running day of year since January 1st 2002, second column is the prior estimate value for that time window, third column is the posterior estimate, fourth column is the prior uncertainty and fifth column is the posterior uncertainty.
DOI: 10.5061/dryad.2s71b/4
title: flux

description: Flux tower observed data for eight day time window. First column is the running day of year since January 1st 2002, second column is the observed value for that time window and third column is the observation uncertainty.
DOI: 10.5061/dryad.2s71b/5
title: f_flux

description: Flux tower observed data for four day time window. First column is the running day of year since January 1st 2002, second column is the observed value for that time window and third column is the observation uncertainty.
DOI: 10.5061/dryad.2s71b/6
title: f_est

description: State estimation for four day time window. First column is the running day of year since January 1st 2002, second column is the prior estimate value for that time window, third column is the posterior estimate, fourth column is the prior uncertainty and fifth column is the posterior uncertainty.
DOI: 10.5061/dryad.55203/1
title: Finegan et al master matrix 62 plots

description: see readme file.
DOI: 10.5061/dryad.9vd0q/1
title: Predicted benthic cover of Montipora capitata in the Hawaiian Islands

description: The data files are output from a model to predict the benthic cover of Montipora capitata in the Hawaiian Islands. Coral cover was modeled with boosted regression trees (BRT) in R software using data from coral cover surveys and environmental covariates derived from models and/or observations including wave height, benthic geomorphology, and downwelled irradiance. The best performing BRT model was used to predict M. capitata cover for the entire geographic study domain. Data and model output represent conditions for shallow coral reefs in the Hawaiian Islands from 0 m to -30 m depth over the time period 2000-2009.The "mhi_mcap.zip" file contains two files: an ascii raster grid file of predicted benthic cover of the coral species Montipora capitata as a proportion (0-1.0) (“mhi_mcap.asc”) and a projection file that describes the geographic projection and datum of the ascii file (“mhi_cap.prj”). The ascii file includes a six line header section with data in 10,940 columns (“ncols”) and 6,841 rows (“nrows”) georegistered to 18.88N, 160.27W at the lower left corner of the grid (“xllcorner”, “yllcorner”). Grid cell size is 0.0005 (which approximates a 50 m grid cell in the study area) and no data values are -9999. Further details on methodology and results are contained in Franklin et al. (2013) Predictive modeling of coral distribution and abundance in the Hawaiian Islands. MEPS 481:121-131.
DOI: 10.5061/dryad.9vd0q/3
title: Predicted benthic cover of Montipora patula in the Hawaiian Islands

description: The data files are output from a model to predict the benthic cover of Montipora patula in the Hawaiian Islands. Coral cover was modeled with boosted regression trees (BRT) in R software using data from coral cover surveys and environmental covariates derived from models and/or observations including wave height, benthic geomorphology, and downwelled irradiance. The best performing BRT model was used to predict M. patula cover for the entire geographic study domain. Data and model output represent conditions for shallow coral reefs in the Hawaiian Islands from 0 m to -30 m depth over the time period 2000-2009.The "mhi_mpat.zip" file contains two files: an ascii raster grid file of predicted benthic cover of the coral species Montipora patula as a proportion (0-1.0) (“mhi_mpat.asc”) and a projection file that describes the geographic projection and datum of the ascii file (“mhi_mpat.prj”). The ascii file includes a six line header section with data in 10,940 columns (“ncols”) and 6,841 rows (“nrows”) georegistered to 18.88N, 160.27W at the lower left corner of the grid (“xllcorner”, “yllcorner”). Grid cell size is 0.0005 (which approximates a 50 m grid cell in the study area) and no data values are -9999. Further details on methodology and results are contained in Franklin et al. (2013) Predictive modeling of coral distribution and abundance in the Hawaiian Islands. MEPS 481:121-131.
DOI: 10.5061/dryad.9vd0q/4
title: Predicted benthic cover of Porites compressa in the Hawaiian Islands

description: The data files are output from a model to predict the benthic cover of Porites compressa in the Hawaiian Islands. Coral cover was modeled with boosted regression trees (BRT) in R software using data from coral cover surveys and environmental covariates derived from models and/or observations including wave height, benthic geomorphology, and downwelled irradiance. The best performing BRT model was used to predict P. compressa cover for the entire geographic study domain. Data and model output represent conditions for shallow coral reefs in the Hawaiian Islands from 0 m to -30 m depth over the time period 2000-2009.The "mhi_pcom.zip" file contains two files: an ascii raster grid file of predicted benthic cover of the coral species Porites compressa as a proportion (0-1.0) (“mhi_ pcom.asc”) and a projection file that describes the geographic projection and datum of the ascii file (“mhi_ pcom.prj”). The ascii file includes a six line header section with data in 10,940 columns (“ncols”) and 6,841 rows (“nrows”) georegistered to 18.88N, 160.27W at the lower left corner of the grid (“xllcorner”, “yllcorner”). Grid cell size is 0.0005 (which approximates a 50 m grid cell in the study area) and no data values are -9999. Further details on methodology and results are contained in Franklin et al. (2013) Predictive modeling of coral distribution and abundance in the Hawaiian Islands. MEPS 481:121-131.
DOI: 10.5061/dryad.9vd0q/5
title: Predicted benthic cover of Porites lobata in the Hawaiian Islands

description: The data files are output from a model to predict the benthic cover of Porites lobata in the Hawaiian Islands. Coral cover was modeled with boosted regression trees (BRT) in R software using data from coral cover surveys and environmental covariates derived from models and/or observations including wave height, benthic geomorphology, and downwelled irradiance. The best performing BRT model was used to predict P. lobata cover for the entire geographic study domain. Data and model output represent conditions for shallow coral reefs in the Hawaiian Islands from 0 m to -30 m depth over the time period 2000-2009.The "mhi_plob.zip" file contains two files: an ascii raster grid file of predicted benthic cover of the coral species Porites lobata as a proportion (0-1.0) (“mhi_ plob.asc”) and a projection file that describes the geographic projection and datum of the ascii file (“mhi_ plob.prj”). The ascii file includes a six line header section with data in 10,940 columns (“ncols”) and 6,841 rows (“nrows”) georegistered to 18.88N, 160.27W at the lower left corner of the grid (“xllcorner”, “yllcorner”). Grid cell size is 0.0005 (which approximates a 50 m grid cell in the study area) and no data values are -9999. Further details on methodology and results are contained in Franklin et al. (2013) Predictive modeling of coral distribution and abundance in the Hawaiian Islands. MEPS 481:121-131.
DOI: 10.5061/dryad.d0p47/1
title: Growth rate of lake bacteria in water samples from Alberta lakes, with data on water chemistry and taxonomic identity

description: Please see readme file.
DOI: 10.5061/dryad.f2313/1
title: Genepop file

description: Genepop file for the analyzed individuals
DOI: 10.5061/dryad.f2313/2
title: Loci_Information

description: Summary output (location, Fst, etc) from STACKS for each individual SNP
DOI: 10.5061/dryad.hf93m/51
title: ffpe_dilutioncurve_0_percent_hepatocarcinoma

description: These files contain next-generation sequencing data (sequencer: Ion Torrent PGM) aligned to hg19 genome used to produce the data presented in figure 2B of the manuscript.
DOI: 10.5061/dryad.hf93m/52
title: ffpe_dilutioncurve_10_percent_hepatocarcinoma

description: These files contain next-generation sequencing data (sequencer: Ion Torrent PGM) aligned to hg19 genome used to produce the data presented in figure 2B of the manuscript.
DOI: 10.5061/dryad.hf93m/53
title: ffpe_dilutioncurve_25_percent_hepatocarcinoma

description: These files contain next-generation sequencing data (sequencer: Ion Torrent PGM) aligned to hg19 genome used to produce the data presented in figure 2B of the manuscript.
DOI: 10.5061/dryad.hf93m/54
title: ffpe_dilutioncurve_50_percent_hepatocarcinoma

description: These files contain next-generation sequencing data (sequencer: Ion Torrent PGM) aligned to hg19 genome used to produce the data presented in figure 2B of the manuscript.
DOI: 10.7284/117525
title: Winch data collected during research cruise SP1510 using a Markey DEYSH-3 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/117528
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise SP1511 using a Hawaii UHDAS instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/124421
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise SP1511 using a Sea-Bird SBE-911+ instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7234121
title: Maximally Similar Sets Data

description: These are the data from the Shoshone National Forest used in the paper "Statistical Analysis of Maximally Similar Sets in Ecological Research" (Roberts 2019)<br>
DOI: 10.7284/117529
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP1511 using a Furuno GP-90D instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7234121.v1
title: Maximally Similar Sets Data

description: These are the data from the Shoshone National Forest used in the paper "Statistical Analysis of Maximally Similar Sets in Ecological Research" (Roberts 2019)<br>
DOI: 10.6084/m9.figshare.7234073
title: Peat Priming Supporting Info

description: Supporting info for Ward et al., L&O Letters (2018)<br>
DOI: 10.7284/117532
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP1511 using a Furuno GP-150 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7234073.v1
title: Peat Priming Supporting Info

description: Supporting info for Ward et al., L&O Letters (2018)<br>
DOI: 10.6084/m9.figshare.7234061
title: Peat Priming CO2 data

description: Data from Ward et al., L&O Letters (2018)<br>
DOI: 10.6084/m9.figshare.7234061.v1
title: Peat Priming CO2 data

description: Data from Ward et al., L&O Letters (2018)<br>
DOI: 10.7284/120783
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP1511 using a Ashtech ADU2 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7233935
title: Dopamine reduces sharing behavior as a function of social distance

description: Raw and modeled data for hyperbolic fitting of generosity and social distance. <br>This data corresponds to the the experiment "Dopamine reduces sharing behavior as a function of social distance" performed by the AG Park group from Universität zu Lübeck (Germany) and prepared for submission in Proceedings of the Royal Society B.
DOI: 10.7284/120798
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP1511 using a Garmin GPS-17HVS instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7233935.v1
title: Dopamine reduces sharing behavior as a function of social distance

description: Raw and modeled data for hyperbolic fitting of generosity and social distance. <br>This data corresponds to the the experiment "Dopamine reduces sharing behavior as a function of social distance" performed by the AG Park group from Universität zu Lübeck (Germany) and prepared for submission in Proceedings of the Royal Society B.
DOI: 10.7284/120845
title: Gyrocompass data collected during research cruise SP1511 using a Furuno Furuno SC-30 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/117531
title: Meteorological Station data collected during research cruise SP1511 using a SIO MET-System instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/117530
title: Winch data collected during research cruise SP1511 using a Markey DEYSH-3 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25375/uct.7233875
title: DDPP Phase II - Model Inputs

description: The Deep Decarbonization Pathways Project (DDPP), an initiative of the Sustainable Development Solutions Network (SDSN) and the Institute for Sustainable Development and International Relations (IDDRI), aims to demonstrate how countries can transform their energy systems by 2050 in order to achieve a low-carbon economy and significantly reduce the global risk of catastrophic climate change. Built upon a rigorous accounting of national circumstances, the DDPP defines transparent pathways supporting the decarbonization of energy systems while respecting the specifics of national political economy and the fulfillment of domestic development priorities. The project currently comprises 16 Country Research Teams, composed of leading research institutions from countries representing about 70% of global GHG emissions and at very different stages of development. These 16 countries are: Australia, Brazil, Canada, China, France, Germany, India, Indonesia, Italy, Japan, Mexico, Russia, South Africa, South Korea, the United Kingdom, and the United States.
DOI: 10.25375/uct.7233881
title: DDPP Phase II - Model Outputs

description: The Deep Decarbonization Pathways Project (DDPP), an initiative of the Sustainable Development Solutions Network (SDSN) and the Institute for Sustainable Development and International Relations (IDDRI), aims to demonstrate how countries can transform their energy systems by 2050 in order to achieve a low-carbon economy and significantly reduce the global risk of catastrophic climate change. Built upon a rigorous accounting of national circumstances, the DDPP defines transparent pathways supporting the decarbonization of energy systems while respecting the specifics of national political economy and the fulfillment of domestic development priorities. The project currently comprises 16 Country Research Teams, composed of leading research institutions from countries representing about 70% of global GHG emissions and at very different stages of development. These 16 countries are: Australia, Brazil, Canada, China, France, Germany, India, Indonesia, Italy, Japan, Mexico, Russia, South Africa, South Korea, the United Kingdom, and the United States.
DOI: 10.7284/119833
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise SP1512 using a Hawaii UHDAS instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25375/uct.7233875.v1
title: DDPP Phase II - Model Inputs

description: The Deep Decarbonization Pathways Project (DDPP), an initiative of the Sustainable Development Solutions Network (SDSN) and the Institute for Sustainable Development and International Relations (IDDRI), aims to demonstrate how countries can transform their energy systems by 2050 in order to achieve a low-carbon economy and significantly reduce the global risk of catastrophic climate change. Built upon a rigorous accounting of national circumstances, the DDPP defines transparent pathways supporting the decarbonization of energy systems while respecting the specifics of national political economy and the fulfillment of domestic development priorities. The project currently comprises 16 Country Research Teams, composed of leading research institutions from countries representing about 70% of global GHG emissions and at very different stages of development. These 16 countries are: Australia, Brazil, Canada, China, France, Germany, India, Indonesia, Italy, Japan, Mexico, Russia, South Africa, South Korea, the United Kingdom, and the United States.
DOI: 10.25375/uct.7233881.v1
title: DDPP Phase II - Model Outputs

description: The Deep Decarbonization Pathways Project (DDPP), an initiative of the Sustainable Development Solutions Network (SDSN) and the Institute for Sustainable Development and International Relations (IDDRI), aims to demonstrate how countries can transform their energy systems by 2050 in order to achieve a low-carbon economy and significantly reduce the global risk of catastrophic climate change. Built upon a rigorous accounting of national circumstances, the DDPP defines transparent pathways supporting the decarbonization of energy systems while respecting the specifics of national political economy and the fulfillment of domestic development priorities. The project currently comprises 16 Country Research Teams, composed of leading research institutions from countries representing about 70% of global GHG emissions and at very different stages of development. These 16 countries are: Australia, Brazil, Canada, China, France, Germany, India, Indonesia, Italy, Japan, Mexico, Russia, South Africa, South Korea, the United Kingdom, and the United States.
DOI: 10.7284/119834
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP1512 using a Furuno GP-90D instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/119837
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP1512 using a Furuno GP-150 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25375/uct.7233863
title: CGE Simulation Input

description: Original CGE simulation as developed for e-SAGE and DDPP simulation input file.
DOI: 10.25375/uct.7233863.v1
title: CGE Simulation Input

description: Original CGE simulation as developed for e-SAGE and DDPP simulation input file.
DOI: 10.25375/uct.7233851
title: CGE Carbon Input

description: Original CGE carbon input as developed for e-SAGE.
DOI: 10.7284/120784
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP1512 using a Ashtech ADU2 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25375/uct.7233851.v1
title: CGE Carbon Input

description: Original CGE carbon input as developed for e-SAGE.