cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6092/79dfd904-bb19-4581-bb6e-2b33e00acfb9
title: Baltic Sea - DIVA 4D 6-year analysis of Water body ammonium 1980/2016 v2018

description: The "Baltic Sea - DIVA 4D 6-year analysis of Water_body_ammonium 1980/2016 v2018" is the 4D gridded analysis for water body ammonium in the Baltic Sea. The analysis was performed per season using DIVA software tool (Data-Interpolating Variational Analysis). The analyses products are stored as NetCDF CF files and made available as WMS layers for easy browsing and adding. Dynamic plots obtained as a combination of WPS/WMS (Density information available by colours, time series and vertical profiles) were uploaded to 'EMODnet Chemistry Viewing and Downloading Service'."" Every step of the time dimension corresponds to a 6-year average moving from 1980 to 2016. The depth dimension spans from surface to 300m with 21 vertical levels."" The data used as input for DIVA have been extracted from the EMODnet Chemistry Download Service: http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp
DOI: 10.6092/66dcf80f-383c-4c70-842a-80eead8bd293
title: Baltic Sea - DIVAnd 6-year seasonal analysis of Water body chlorophyll-a 1980/2018 v2021

description: Moving 6-year analysis of Water body chlorophyll-a in the Baltic Sea. Four seasons (March-May, June-August, September-November, December-February). Every year of the time dimension corresponds to a 6-year centred average. Periods span between 1980-1985 and 2013-2018. Analyses for depths (m) (HELCOM standard depths): 0, 5, 10, 15, 20, 30, 40, 50, 60, 70, 80, 90, 100, 125, 150, 175, 200, 225, 250, 275, 300.<br><br>Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network. Description of DIVA analysis: Geostatistical data analysis by DIVA (Data-Interpolating Variational Analysis) tool. GEBCO Grid (30 arc-seconds) topography is used for the contouring preparation. Files contain analysed fields, error fields and combined field with the deepest value for each grid point selected. Also pre-masked fields using relative error threshold 0.3 and 0.5 are included. In the analyses the Correlation length in the horizontal direction were fixed to 80 km and in the vertical direction to 25 m. Signal to noise ratio were fixed to 1.0. Background fields were created using data for the given time period and season. Log transformation was used in the analyses. No detrending, advection constraints or weighting are applied. Unit is mg/m3.
DOI: 10.6092/62ba9d08-2ad6-4742-8fa6-fdbb25585e5c
title: Baltic Sea - DIVAnd 6-year seasonal analysis of Water body dissolved inorganic nitrogen (DIN) 1980/2018 v2021

description: Moving 6-year analysis of Water body dissolved inorganic nitrogen (DIN) in the Baltic Sea. Four seasons (March-May, June-August, September-November, December-February). Every year of the time dimension corresponds to a 6-year centred average. Periods span between 1980-1985 and 2013-2018. Analyses for depths (m) (HELCOM standard depths): 0, 5, 10, 15, 20, 30, 40, 50, 60, 70, 80, 90, 100, 125, 150, 175, 200, 225, 250, 275, 300.<br><br>Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network. Description of DIVA analysis: Geostatistical data analysis by DIVA (Data-Interpolating Variational Analysis) tool. GEBCO Grid (30 arc-seconds) topography is used for the contouring preparation. Files contain analysed fields, error fields and combined field with the deepest value for each grid point selected. Also pre-masked fields using relative error threshold 0.3 and 0.5 are included. In the analyses the Correlation length in the horizontal direction were fixed to 80 km and in the vertical direction to 25 m. Signal to noise ratio were fixed to 1.0. Background fields were created using data for the given time period and season. Log transformation was used in the analyses. No detrending, advection constraints or weighting are applied. Unit is umol/l.
DOI: 10.6092/b5bb9ea1-4bda-48a1-92b6-03645ac12fae
title: Baltic Sea - DIVAnd 6-year seasonal analysis of Water body dissolved oxygen concentration 1980/2018 v2021

description: Moving 6-year analysis of Water body dissolved oxygen concentration in the Baltic Sea. Four seasons (March-May, June-August, September-November, December-February). Every year of the time dimension corresponds to a 6-year centred average. Periods span between 1980-1985 and 2013-2018. Analyses for depths (m) (HELCOM standard depths): 0, 5, 10, 15, 20, 30, 40, 50, 60, 70, 80, 90, 100, 125, 150, 175, 200, 225, 250, 275, 300.<br><br>Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network. Description of DIVA analysis: Geostatistical data analysis by DIVA (Data-Interpolating Variational Analysis) tool. GEBCO Grid (30 arc-seconds) topography is used for the contouring preparation. Files contain analysed fields, error fields and combined field with the deepest value for each grid point selected. Also pre-masked fields using relative error threshold 0.3 and 0.5 are included. In the analyses the Correlation length in the horizontal direction were fixed to 80 km and in the vertical direction to 25 m. Signal to noise ratio were fixed to 1.0. Background fields were created using data for the given time period and season. Log transformation was used in the analyses. No detrending, advection constraints or weighting are applied. Unit is umol/l.
DOI: 10.5281/zenodo.7958198
title: Satellite-derived sunshine duration product - DISSM/INPE

description: This dataset is the satellite-derived sunshine duration (SDU) product developed at the Satellite and Meteorological Sensors Division of the National Institute of Space Research for the period from September 2013 to December 2017. The data is delivered as daily SDU in hours, it has a spatial resolution of 0.04 degree on a regular latitude-longitude grid of 1800x1800 pixels within latitudes 50°S to 21.96°N and longitudes 100°W to 28.04°W. Each netCDF file correspond to a day and has a size of 26MB. Validation with in situ measurements and intercomparison with other satellite product is currently being submitted for peer review.
DOI: 10.6092/e5bfc6fd-f287-4e1d-81ae-6af0ea3f1eef
title: Baltic Sea - DIVAnd 6-year seasonal analysis of Water body phosphate 1980/2018 v2021

description: Moving 6-year analysis of Water body phosphate in the Baltic Sea. Four seasons (March-May, June-August, September-November, December-February). Every year of the time dimension corresponds to a 6-year centred average. Periods span between 1980-1985 and 2013-2018. Analyses for depths (m) (HELCOM standard depths): 0, 5, 10, 15, 20, 30, 40, 50, 60, 70, 80, 90, 100, 125, 150, 175, 200, 225, 250, 275, 300.<br><br>Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network. Description of DIVA analysis: Geostatistical data analysis by DIVA (Data-Interpolating Variational Analysis) tool. GEBCO Grid (30 arc-seconds) topography is used for the contouring preparation. Files contain analysed fields, error fields and combined field with the deepest value for each grid point selected. Also pre-masked fields using relative error threshold 0.3 and 0.5 are included. In the analyses the Correlation length in the horizontal direction were fixed to 80 km and in the vertical direction to 25 m. Signal to noise ratio were fixed to 1.0. Background fields were created using data for the given time period and season. Log transformation was used in the analyses. No detrending, advection constraints or weighting are applied. Unit is umol/l.
DOI: 10.6092/c237ece0-998e-463b-85d9-ebe8b5b008bb
title: Baltic Sea - DIVAnd 6-year seasonal analysis of Water body silicate 1980/2018 v2021

description: Moving 6-year analysis of Water body silicate in the Baltic Sea. Four seasons (March-May, June-August, September-November, December-February). Every year of the time dimension corresponds to a 6-year centred average. Periods span between 1980-1985 and 2013-2018. Analyses for depths (m) (HELCOM standard depths): 0, 5, 10, 15, 20, 30, 40, 50, 60, 70, 80, 90, 100, 125, 150, 175, 200, 225, 250, 275, 300.<br><br>Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network. Description of DIVA analysis: Geostatistical data analysis by DIVA (Data-Interpolating Variational Analysis) tool. GEBCO Grid (30 arc-seconds) topography is used for the contouring preparation. Files contain analysed fields, error fields and combined field with the deepest value for each grid point selected. Also pre-masked fields using relative error threshold 0.3 and 0.5 are included. In the analyses the Correlation length in the horizontal direction were fixed to 80 km and in the vertical direction to 25 m. Signal to noise ratio were fixed to 1.0. Background fields were created using data for the given time period and season. Log transformation was used in the analyses. No detrending, advection constraints or weighting are applied. Unit is umol/l.
DOI: 10.6092/w67j-4p80
title: Baltic Sea - Eutrophication and Acidity aggregated datasets 1902/2020 v2021

description: EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, acidity and contaminants. The chemicals chosen reflect importance to the Marine Strategy Framework Directive (MSFD). ITS-90 water temperature and Water body salinity variables have been also included (as-is) to complete the Eutrophication and Acidity data. This aggregated dataset contains all unrestricted EMODnet Chemistry data on Eutrophication and Acidity (14 parameters with quality flag indicators), and covers the Baltic Sea with 175834 CDI stations (175778 Vertical profiles and 56 Time series). Vertical profiles temporal range is from 1902-08-05 to 2020-10-10. Time series temporal range is from 2010-01-12 to 2016-02-10. Data were aggregated and quality controlled by "Swedish Meteorological and Hydrological Institute (SMHI)" from Sweden.<br> <br> Regional datasets concerning eutrophication and acidity are automatically harvested and resulting collections are aggregated and quality controlled using ODV Software and following a common methodology for all Sea Regions ( https://doi.org/10.6092/9f75ad8a-ca32-4a72-bf69-167119b2cc12). When not present in original data, Water body nitrate plus nitrite was calculated by summing up the Nitrates and Nitrites. Same procedure was applied for Water body dissolved inorganic nitrogen (DIN) which was calculated by summing up the Nitrates, Nitrites and Ammonium.<br> <br> Parameter names are based on P35, EMODnet Chemistry aggregated parameter names vocabulary, which is available at: https://www.bodc.ac.uk/resources/vocabularies/vocabulary_search/P35/<br> <br> Detailed documentation is available at: https://dx.doi.org/10.6092/4e85717a-a2c9-454d-ba0d-30b89f742713<br> <br> The aggregated dataset can be downloaded as ODV collection and spreadsheet, which is composed of metadata header followed by tab separated values. This spreadsheet can be imported to ODV Software for visualisation (More information can be found at: https://www.seadatanet.org/Software/ODV )<br> <br> The original datasets can be searched and downloaded from EMODnet Chemistry Download Service: https://emodnet-chemistry.maris.nl/search
DOI: 10.6092/8fq5-b416
title: Baltic Sea - Gulf of Riga - DIVAnd 4D seasonal analysis of Water body chlorophyll-a 1994/2019 v2021

description: Water body chlorophyll-a - Seasonal Climatology for Gulf of Riga for the period 1994-2019 on the domain: Lon E22.3-25.0°E, Lat N56.8-58.4°N. <br> Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network.<br> Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7, using GEBCO 30sec topography for the spatial connectivity of water masses. Horizontal correlation length of 25 km and vertical correlation length of 10 m. Depth range: 0.0, 2.5, 5, 10, 15, 20, 25, 30, 40, 50 m. Units: mg/m3. <br> The horizontal resolution of the produced DIVAnd maps grids is 0.01 degrees.
DOI: 10.25835/6movxw2k
title: Motion Planning using Reactive Circular Fields: A 2D Analysis of Collision Avoidance and Goal Convergence

description: In this repository, we provide the video files that show the simulations of the paper: "Motion Planning using Reactive Circular Fields: A 2D Analysis of Collision Avoidance and Goal Convergence". Each scenario is represented by one exemplary video for each planner. We also added a video showing a very coarse discretization for the prediction of our ICF planner in the 3D environment. The videos can be downloaded together as a zip. file or viewed in your browser. Additionally, we provide all parameters that were used in the simulations, including recommendations for the choice of relevant parameters of the CFP planner and the proof of the auxiliary Lemma 7.
DOI: 10.6084/m9.figshare.23101415
title: Data purification effects on mucilage physico-chemical properties

description: The study examines the role of solutes in maize and wheat root and chia and flax seed mucilage for their physical properties. Two purification methods, dialysis and ethanol precipitation were applied and purification yield, cation content, pH, electrical conductivity, surface tension, viscosity, transverse 1H relaxation time and contact angle after drying of mucilage were determined before and after purification.
DOI: 10.6092/yftm-cq55
title: Baltic Sea - Gulf of Riga - DIVAnd 4D seasonal analysis of Water body dissolved inorganic nitrogen (DIN) 1994/2019 v2021

description: Water body dissolved inorganic nitrogen (DIN) - Seasonal Climatology for Gulf of Riga for the period 1994-2019 on the domain: Lon E22.3-25.0°E, Lat N56.8-58.4°N. <br> Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network.<br> Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7, using GEBCO 30sec topography for the spatial connectivity of water masses. Horizontal correlation length of 25 km and vertical correlation length of 10 m. Depth range: 0.0, 2.5, 5, 10, 15, 20, 25, 30, 40, 50 m. Units: µmol/l. <br> The horizontal resolution of the produced DIVAnd maps grids is 0.01 degrees.
DOI: 10.23728/b2share.5f706863fc5041c49cb8d1a8cd55f613
title: A quantile regression forest approach to model future sediment export from two high alpine catchments based on climate and hydrologic projections

description: Data set accompanying the manuscript "Projecting sediment export from two highly glacierized alpine catchments under climate change: Exploring non-parametric regression as an analysis tool", Schmidt, L.K., Francke, T., Grosse, P.M. and Bronstert, A. The data set contains 1. the code of the quantile regression forest (QRF) model applied in the above mentioned manuscript to project suspended sediment concentrations and yields in the period 2007 - 2100 at the two nested gauges Vernagt (VF) and Vent (V) in the Upper Ötztal, Austria, 2. the preprocessed input data: - measurement data: discharge, precipitation, air temperature and suspended sediment concentrations derived from turbidity measurements - projections: EURO-CORDEX-derived precipitation and air temperature projections (downscaled and bias-corrected by Hanzer et al., 2018) as well as discharge projections as a result of the physically-based hydroclimatological and snow model AMUNDSEN (Hanzer et al., 2018) for both gauges, and 3. the QRF model results for each RCP-GCM-RCM combination.
description: 1. The QRF model code is a modified version of the model published under DOI 10.23728/b2share.78cdc99c8d454d8894c086a01f561627, which is based on this code: https://github.com/TillF/ssc_prediction (Jan 18th 2022). Modifications: - perform seasonal quantile mapping of the AMUNDSEN discharge projections - loop to compute ancillary predictors and apply QRF models trained for the two gauges in a previous publication (Schmidt et al., 2023) to each RCP-GCM-RCM combination. 2. The measurement are unmodified (as published under DOI 10.23728/b2share.78cdc99c8d454d8894c086a01f561627). 3. The model results can be found in the folder *GAUGE_NAME*/scenario_calc/*RCP_GCM_RCM_combination*/5_model_application/MC_01 - in daily resolution as one table per year (e.g. flood_periods_quantForest_*GAUGE_NAME*_hist1.txt) - aggregated to annual suspended sediment yields (flood_periods_quantForest_*GAUGE_NAME*.txt)
DOI: 10.6092/1b8g-8179
title: Baltic Sea - Gulf of Riga - DIVAnd 4D seasonal analysis of Water body dissolved oxygen concentration 1994/2019 v2021

description: Water body dissolved oxygen concentration - Seasonal Climatology for Gulf of Riga for the period 1994-2019 on the domain: Lon E22.3-25.0°E, Lat N56.8-58.4°N. <br> Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network.<br> Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7, using GEBCO 30sec topography for the spatial connectivity of water masses. Horizontal correlation length of 25 km and vertical correlation length of 10 m. Depth range: 0.0, 2.5, 5, 10, 15, 20, 25, 30, 40, 50 m. Units: µmol/l. <br> The horizontal resolution of the produced DIVAnd maps grids is 0.01 degrees.
DOI: 10.5281/zenodo.7946844
title: Deep Ensemble Learning and Transfer Learning Methods for Classification of Senescent Cells from Nonlinear Optical Microscopy Images

description: This Dataset contains the train and test NLO images in pickle format used for the following publication: Deep Ensemble Learning and Transfer Learning Methods for Classification of Senescent Cells from Nonlinear Optical Microscopy Images
DOI: 10.5281/zenodo.7946845
title: Deep Ensemble Learning and Transfer Learning Methods for Classification of Senescent Cells from Nonlinear Optical Microscopy Images

description: This Dataset contains the train and test NLO images in pickle format used for the following publication: Deep Ensemble Learning and Transfer Learning Methods for Classification of Senescent Cells from Nonlinear Optical Microscopy Images
DOI: 10.6092/r54c-h187
title: Baltic Sea - Gulf of Riga - DIVAnd 4D seasonal analysis of Water body phosphate 1994/2018 v2021

description: Water body phosphate - Seasonal Climatology for Gulf of Riga for the period 1994-2019 on the domain: Lon E22.3-25.0°E, Lat N56.8-58.4°N. <br> Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network.<br> Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7, using GEBCO 30sec topography for the spatial connectivity of water masses. Horizontal correlation length of 25 km and vertical correlation length of 10 m. Depth range: 0.0, 2.5, 5, 10, 15, 20, 25, 30, 40, 50 m. Units: µmol/l. <br> The horizontal resolution of the produced DIVAnd maps grids is 0.01 degrees.
DOI: 10.6092/g40g-be21
title: Baltic Sea - Gulf of Riga - DIVAnd 4D seasonal analysis of Water body silicate 1994/2019 v2021

description: Water body silicate - Seasonal Climatology for Gulf of Riga for the period 1994-2019 on the domain: Lon E22.3-25.0°E, Lat N56.8-58.4°N. <br> Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network.<br> Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7, using GEBCO 30sec topography for the spatial connectivity of water masses. Horizontal correlation length of 25 km and vertical correlation length of 10 m. Depth range: 0.0, 2.5, 5, 10, 15, 20, 25, 30, 40, 50 m. Units: µmol/l. <br> The horizontal resolution of the produced DIVAnd maps grids is 0.01 degrees.
DOI: 10.6092/105c648e-311e-4f2f-aac9-400933f03bb3
title: Baltic Sea DIVA 4D analysis of Water_body_ammonium

description: The "Baltic Sea DIVA 4D analysis of Water_body_ammonium" is the 4D gridded analysis for Ammonium and ammonia concentration parameters in water bodies in the Baltic Sea. The analysis was performed per season using DIVA software tool (Data-Interpolating Variational Analysis). The analyses products are stored as NetCDF CF files and made available as WMS layers for easy browsing and adding. Dynamic plots obtained as a combination of WPS/WMS (Density information available by colours, time series and vertical profiles) were uploaded to 'EMODnet Chemistry Viewing and Downloading Service'. Every step of the time dimension corresponds to a 10-year average moving from 1960 to 2014. The depth dimension spans from surface to the seafloor with 21 vertical levels. The data used as input for DIVA have been extracted from the EMODnet Chemistry Download Service: http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp
DOI: 10.6092/77ebcc7c-e61c-4b3b-b23a-82dcf0734866
title: Baltic Sea DIVA 4D analysis of Water_body_chlorophyll-a

description: The "Baltic Sea DIVA 4D analysis of Water_body_chlorophyll-a" is the 4D gridded analysis for Chlorophyll pigment concentrations in water bodies in the Baltic Sea. The analysis was performed per season using DIVA software tool (Data-Interpolating Variational Analysis). The analyses products are stored as NetCDF CF files and made available as WMS layers for easy browsing and adding. Dynamic plots obtained as a combination of WPS/WMS (Density information available by colours, time series and vertical profiles) were uploaded to 'EMODnet Chemistry Viewing and Downloading Service'. Every step of the time dimension corresponds to a 10-year average moving from 1980 to 2014. The depth dimension spans from surface to the seafloor with 6 vertical levels. The data used as input for DIVA have been extracted from the EMODnet Chemistry Download Service: http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp
DOI: 10.6092/2322e908-da41-4d5d-b55c-4c0bea5c3b46
title: Baltic Sea DIVA 4D analysis of Water_body_dissolved_oxygen_concentration

description: The "Baltic Sea DIVA 4D analysis of Water_body_dissolved_oxygen_concentration" is the 4D gridded analysis for Dissolved oxygen parameters in the water column in the Baltic Sea. The analysis was performed per season using DIVA software tool (Data-Interpolating Variational Analysis). The analyses products are stored as NetCDF CF files and made available as WMS layers for easy browsing and adding. Dynamic plots obtained as a combination of WPS/WMS (Density information available by colours, time series and vertical profiles) were uploaded to 'EMODnet Chemistry Viewing and Downloading Service'. Every step of the time dimension corresponds to a 10-year average moving from 1960 to 2014. The depth dimension spans from surface to the seafloor with 21 vertical levels. The data used as input for DIVA have been extracted from the EMODnet Chemistry Download Service: http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp
DOI: 10.6092/28bf2235-485c-4128-83d2-4ec455db554c
title: Baltic Sea DIVA 4D analysis of Water_body_nitrate

description: The "Baltic Sea DIVA 4D analysis of Water_body_nitrate" is the 4D gridded analysis for Nitrate concentration parameters in the water column in the Baltic Sea. The analysis was performed per season using DIVA software tool (Data-Interpolating Variational Analysis). The analyses products are stored as NetCDF CF files and made available as WMS layers for easy browsing and adding. Dynamic plots obtained as a combination of WPS/WMS (Density information available by colours, time series and vertical profiles) were uploaded to 'EMODnet Chemistry Viewing and Downloading Service'. Every step of the time dimension corresponds to a 10-year average moving from 1960 to 2009. The depth dimension spans from surface to the seafloor with 21 vertical levels. The data used as input for DIVA have been extracted from the EMODnet Chemistry Download Service: http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp