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Abstract: This dataset is constituted by historical vertical profiles of temperature and salinity from the former Centro de Oceanografia da Faculdade de Ciências da Universidade de Lisboa (CO-FCUL, now MARE-FCUL). The profiles were gathered during 42 campaigns (1978-2007) conducted by CO-FCUL or international institutions where CO-FCUL researchers were participants. The dataset was constructed, and used, for the work of Valente et al. (2019). Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: Not Available
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  • File Set
Abstract: This dataset is constituted by historical vertical profiles of temperature and salinity from the former Centro de Oceanografia da Faculdade de Ciências da Universidade de Lisboa (CO-FCUL, now MARE-FCUL). The profiles were gathered during 42 campaigns (1978-2007) conducted by CO-FCUL or international institutions where CO-FCUL researchers were participants. The dataset was constructed, and used, for the work of Valente et al. (2019). Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: Not Available
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  • File Set
Abstract: Land cover and land cover change maps were created within the European Commission's Copernicus Global Land Monitoring Service's Hot-Spot Monitoring framework program. During the program's first phase, a total of 560,442km2 area in Sub-Saharan Africa was mapped, from which 153,665km^2^ was mapped with 8 land cover classes while 406,776km^2^ was mapped with up to 32 classes based on FAO's Land Cover Classification System (LCCS). High-resolution optical satellite imagery were used to generate dense time-series data from which the thematic land cover and change maps were derived. Each map was fully verified and validated by an independent team to achieve Copernicus' strict data quality requirements. Independent validation datasets for each KLCs were also collected and they are presented here. The validation datasets contains 35671 verified points for two dates (LC and LCC). Furthermore, a predefined symbology (QGIS legend file) for the land cover/change and validation datasets based on FAO's Land Cover Classification System is also shared here to ease the visualization of them. Further details regarding the sites selection, mapping and validation procedures are described in the corresponding publication: Szantoi, Z., Brink, A., Lupi, A., Mannone, C., and Jaffrain, G.: Key Landscapes for Conservation Land Cover and Change Monitoring Thematic and Validation Datasets for Sub-Saharan Africa, Earth Syst. Sci. Data, XX, XXX–XXX, https://doi.org/10.5194/essd-XX-XXX-2020, 2020. Category: geoscientificInformation Source: Not Available Supplemental Information: There are three datasets shared as a supplement to the “Key Landscapes for Conservation Land Cover and Change Monitoring Thematic and Validation Datasets for Sub-Saharan Africa” publication here. Data format: vector (shapefile, polygon (LC/LCC dataset), point (validation dataset), Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326), Projected coordinate system (validation data): Africa Albers Equal Area Conic (EPSG:102022), Minimum mapping unit: 0.5-5ha. Land cover and land cover change dataset attributes: [mapcode_A] - dichotomous class, [mapcode_B] - modular class, [name_A] - corresponding dichotomous class names (KLCs classified only at the dichotomous level), [name_B] - corresponding modular class name. Validation dataset attributes: [plaus201X] - land cover, [plaus2000X] - land cover change. The naming of all attributes follow the same structure in all shapefiles – see Table 2 Dichotomous and Modular thematic land cover/use classes in the corresponding publication. Coverage: Not Available
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Abstract: Raw data including physical oceanography from mooring DS-2-17 recovered during Maria S. Merian cruise MSM76. Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE: 66.121260 * LONGITUDE: -27.280870 * DATE/TIME: 2017-09-19T08:30:00 * ELEVATION: -589.0 m * LOCATION: North Atlantic * CAMPAIGN: 64PE426 * BASIS: Pelagia * METHOD/DEVICE: Mooring EVENT LABEL: (MSM76_51-1, 64PE426_DS-2-17) * LATITUDE: 66.121260 * LONGITUDE: -27.280870 * DATE/TIME START: 2017-09-19T08:30:00 * DATE/TIME END: 2018-08-15T08:40:00 * ELEVATION: -589.0 m * End event: MSM76_51-1 * Start event: 64PE426_DS-2-17 * LOCATION: North Atlantic * CAMPAIGN: MSM76 * BASIS: Maria S. Merian * METHOD/DEVICE: Mooring EVENT LABEL: * LATITUDE: 66.121260 * LONGITUDE: -27.280870 * DATE/TIME: 2018-08-15T08:59:00 * LOCATION: North Atlantic * CAMPAIGN: MSM76 * BASIS: Maria S. Merian * METHOD/DEVICE: Mooring
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  • File Set
Abstract: In this study, we measured the relative transcript expression of 45 target genes and 3 normalizer genes in liver samples of 120 Atlantic salmon that were subjected to 3 different climate scenarios in a tank-based system. Atlantic salmon were exposed to following treatments: (1) Control (CT) constant temperature of 12°C and 100 % air saturation; (2) Warm&Normoxic (WN) incremental temperature increase (1°C per week from 12 - 20°C) at 100% air saturation; and (3) Warm&Hypoxic (WH) decrease in oxygen content of 70% air saturation over one week, followed by two weeks of acclimation to this oxygen level, and then incremental temperature increase (1°C per week from 12 - 20°C) at 70% air saturation. Liver samples were taken from 8 fish per treatment group (CT, WN and WH) at 5 different temperature measuring points: 12°C, 16°C, 18°C, 19°C, and 20°C. For each treatment group, we used 8 biological fish replicates (4 fish from 2 tank replicates). The sampling during the simulated seasonal temperature increase was performed 3 days after reaching the temperature level of interest (12°C-initial, 16°C-3days, 18°C-3days, 19°C-3days, 20°C-3days). Once the maximum temperature increase of 20°C was reached, an additional sampling after 4 weeks at 20°C was carried out (20°C-4weeks). After each temperature challenge eight fish per per tank replicate (n = 8, N = 24) were euthanized with 400 mg L^-1 of tricaine-methane-sulfonate. Liver tissues (100 mg per sample) were rapidly dissected from fish, placed in RNase-free 1.5 mL tubes, flash-frozen in liquid nitrogen, and stored at -80°C until RNA extractions were performed. The relative transcript expression values of 45 genes of interest (GOIs) and 3 normalizers were assessed for 8 individual fish samples per 3 treatment groups at 5 sampling time points (n = 8, N = 120). Real-time qPCR Fluidigm Biomark HD system based on 96.96 dynamic arrays (GE-arrays) was employed according to the manufacturer's instructions (Fluidigm, Biomark HD). The transcript levels of 48 genes were measured in two technical replicates, while we included two no template controls (NTCs), two controls for genomic DNA contamination (no-reverse transcription 'no-RT') and two linker samples for inter-run and between-run calibration. In this data submission file, we provide the 'mean threshold cycle (CT) values' for 45 GOIs and 3 normalizer genes that were calculated from two technical replicates and were measured with GE-fast 96.96 PCR protocol and Fluidigm Biomark HD system. This experiment was performed as part of the project 'Mitigating the Impacts of Climate-Related Challenges on Salmon Aquaculture (MICCSA)' within the years 2017-2020. Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: Not Available
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Abstract: We analysed water samples taken during the Polarstern PS113 cruise with HPLC technique to retrieve phytoplankton pigment concentrations. We further used these data to obtain major phytoplankton groups following the diagnostic pigment analysis. We also measured at discrete light stations (called Lightstations) and from an undulating platform towed behind the ship (called TRIAXUS stations) radiometric underwater light profiles high spectrally resolved. We obtained high resolution phytoplankton group Chla data from depth resolved apparent optical properties derived from the underwater radiation data by applying an empirical orthogonal function (EOF) analysis to the spectral data set and developing subsequently regression models using the pigment based phytoplankton group Chla and the selected EOF modes. Results were obtained from using depth resolved transmission data (Transmission) and also from using the mean diffuse attenuation over the first optical depth (kdmean) of the measured radiometric profile. All the details are described in the related publication by Bracher et al. (2020). Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: Not Available
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Abstract: Background: Urbanization is an important indicator of economic growth and social change but is associated with environmental degradation, which threatens sustainable growth of African cities. One of the most vulnerable ecosystems in urban areas are wetlands. In Uganda, wetlands cover an area of 11% of the country's land area. Half of the wetland areas in Ugandan cities have been converted to industry and residential areas, and urban agriculture. There is limited information on the extent of wetland conversion or utilization for urban agriculture. The objective of this study was to investigate the extent of wetlands lost in two Ugandan cities, Wakiso and Kampala, in the last 30 years. Secondly, we demonstrate a simple methodology to monitor agriculture on encroached wetlands. Methods: Using a field survey and free remote sensing data from Landsat TM 1986 and Landsat ETM 2016 we classified the rate of wetland loss and encroachment in the last 30 years. Using MODIS NDVI 16-day composites at 500-meter spatial resolution, we generated distinctive crops and crop mixtures in the encroached wetlands for urban agriculture using the ISODATA clustering algorithm. Results: Over a 30-year period, 72,828 ha (73%) of the Wakiso-Kampala wetlands have been lost. Agriculture area on the other hand doubled. Of the new cultivation area, 16,488 ha (23%) were reclaimed from wetlands. All cultivated agriculture in Kampala was in the wetlands while in Wakiso, 73% of crop agriculture was in the wetlands. The major crops grown in these urban wetlands were banana (20%), sugarcane (22%), maize (17%), Eucalyptus trees (12%), sweet potatoes (10%), while ornamental nurseries, pine trees, vegetables and passion fruits were each at 5%. Conclusions: Current wetland exploitation for food security for urban dwellers may be a trade-off between the provision of food in the short-term and the loss of important ecosystems services in the long-term. Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE: 1.067000 * LONGITUDE: 31.883000 * LOCATION: Africa, Uganda * METHOD/DEVICE: Multiple investigations
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  • File Set
Abstract: Background: Urbanization is an important indicator of economic growth and social change but is associated with environmental degradation, which threatens sustainable growth of African cities. One of the most vulnerable ecosystems in urban areas are wetlands. In Uganda, wetlands cover an area of 11% of the country's land area. Half of the wetland areas in Ugandan cities have been converted to industry and residential areas, and urban agriculture. There is limited information on the extent of wetland conversion or utilization for urban agriculture. The objective of this study was to investigate the extent of wetlands lost in two Ugandan cities, Wakiso and Kampala, in the last 30 years. Secondly, we demonstrate a simple methodology to monitor agriculture on encroached wetlands. Methods: Using a field survey and free remote sensing data from Landsat TM 1986 and Landsat ETM 2016 we classified the rate of wetland loss and encroachment in the last 30 years. Using MODIS NDVI 16-day composites at 500-meter spatial resolution, we generated distinctive crops and crop mixtures in the encroached wetlands for urban agriculture using the ISODATA clustering algorithm. Results: Over a 30-year period, 72,828 ha (73%) of the Wakiso-Kampala wetlands have been lost. Agriculture area on the other hand doubled. Of the new cultivation area, 16,488 ha (23%) were reclaimed from wetlands. All cultivated agriculture in Kampala was in the wetlands while in Wakiso, 73% of crop agriculture was in the wetlands. The major crops grown in these urban wetlands were banana (20%), sugarcane (22%), maize (17%), Eucalyptus trees (12%), sweet potatoes (10%), while ornamental nurseries, pine trees, vegetables and passion fruits were each at 5%. Conclusions: Current wetland exploitation for food security for urban dwellers may be a trade-off between the provision of food in the short-term and the loss of important ecosystems services in the long-term. Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE: 1.067000 * LONGITUDE: 31.883000 * LOCATION: Africa, Uganda * METHOD/DEVICE: Multiple investigations
Data Types:
  • File Set
Abstract: Background: Urbanization is an important indicator of economic growth and social change but is associated with environmental degradation, which threatens sustainable growth of African cities. One of the most vulnerable ecosystems in urban areas are wetlands. In Uganda, wetlands cover an area of 11% of the country's land area. Half of the wetland areas in Ugandan cities have been converted to industry and residential areas, and urban agriculture. There is limited information on the extent of wetland conversion or utilization for urban agriculture. The objective of this study was to investigate the extent of wetlands lost in two Ugandan cities, Wakiso and Kampala, in the last 30 years. Secondly, we demonstrate a simple methodology to monitor agriculture on encroached wetlands. Methods: Using a field survey and free remote sensing data from Landsat TM 1986 and Landsat ETM 2016 we classified the rate of wetland loss and encroachment in the last 30 years. Using MODIS NDVI 16-day composites at 500-meter spatial resolution, we generated distinctive crops and crop mixtures in the encroached wetlands for urban agriculture using the ISODATA clustering algorithm. Results: Over a 30-year period, 72,828 ha (73%) of the Wakiso-Kampala wetlands have been lost. Agriculture area on the other hand doubled. Of the new cultivation area, 16,488 ha (23%) were reclaimed from wetlands. All cultivated agriculture in Kampala was in the wetlands while in Wakiso, 73% of crop agriculture was in the wetlands. The major crops grown in these urban wetlands were banana (20%), sugarcane (22%), maize (17%), Eucalyptus trees (12%), sweet potatoes (10%), while ornamental nurseries, pine trees, vegetables and passion fruits were each at 5%. Conclusions: Current wetland exploitation for food security for urban dwellers may be a trade-off between the provision of food in the short-term and the loss of important ecosystems services in the long-term. Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE: 1.067000 * LONGITUDE: 31.883000 * LOCATION: Africa, Uganda * METHOD/DEVICE: Multiple investigations
Data Types:
  • File Set
Abstract: Background: Urbanization is an important indicator of economic growth and social change but is associated with environmental degradation, which threatens sustainable growth of African cities. One of the most vulnerable ecosystems in urban areas are wetlands. In Uganda, wetlands cover an area of 11% of the country's land area. Half of the wetland areas in Ugandan cities have been converted to industry and residential areas, and urban agriculture. There is limited information on the extent of wetland conversion or utilization for urban agriculture. The objective of this study was to investigate the extent of wetlands lost in two Ugandan cities, Wakiso and Kampala, in the last 30 years. Secondly, we demonstrate a simple methodology to monitor agriculture on encroached wetlands. Methods: Using a field survey and free remote sensing data from Landsat TM 1986 and Landsat ETM 2016 we classified the rate of wetland loss and encroachment in the last 30 years. Using MODIS NDVI 16-day composites at 500-meter spatial resolution, we generated distinctive crops and crop mixtures in the encroached wetlands for urban agriculture using the ISODATA clustering algorithm. Results: Over a 30-year period, 72,828 ha (73%) of the Wakiso-Kampala wetlands have been lost. Agriculture area on the other hand doubled. Of the new cultivation area, 16,488 ha (23%) were reclaimed from wetlands. All cultivated agriculture in Kampala was in the wetlands while in Wakiso, 73% of crop agriculture was in the wetlands. The major crops grown in these urban wetlands were banana (20%), sugarcane (22%), maize (17%), Eucalyptus trees (12%), sweet potatoes (10%), while ornamental nurseries, pine trees, vegetables and passion fruits were each at 5%. Conclusions: Current wetland exploitation for food security for urban dwellers may be a trade-off between the provision of food in the short-term and the loss of important ecosystems services in the long-term. Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE: 1.067000 * LONGITUDE: 31.883000 * LOCATION: Africa, Uganda * METHOD/DEVICE: Multiple investigations
Data Types:
  • File Set