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Figure 8 in Effect of three different land use types on the temporal dynamics of microarthropod abundance in the high Guinean savanna of Ngaoundéré (Adamawa, Cameroon)
Figure 8. Oribatida and Gamasina abundance (tsd. ind./m2) in plots (mb: maize bare, mmdom: maize with DOM). Abundances being significantly different from each other are marked by different letters for each microarthropod group (Wilcoxon signed rank test [p ˂ 0.05]). Error bars = standard error.
Figure 7 in Effect of three different land use types on the temporal dynamics of microarthropod abundance in the high Guinean savanna of Ngaoundéré (Adamawa, Cameroon)
Figure 7. Collembola, Oribatida and Gamasina abundance (tsd. ind./m2) in plots (mb: maize bare, mbnpk: maize with chemical NPK). Abundances being significantly different from each other are marked by different letters (Wilcoxon signed rank test [p ˂ 0.05]). Error bars = standard error.
Figure 6 in Effect of three different land use types on the temporal dynamics of microarthropod abundance in the high Guinean savanna of Ngaoundéré (Adamawa, Cameroon)
Figure 6. Effect of Maize cultivation on Collembola, Oribatida and Gamasina in control plots (sav ctrl: savanna, mb: maize bare). Abundances being significantly different from each other are marked by different letters for each microarthropod group (Wilcoxon signedrank test [p ˂ 0.05]). Error bars = standard error.
Figure 5 in Effect of three different land use types on the temporal dynamics of microarthropod abundance in the high Guinean savanna of Ngaoundéré (Adamawa, Cameroon)
Figure 5. Temporal variation of Collembola, Oribatida and Gamasina abundance (tsd. ind./m2) in savanna and experimental field in (A) 2017 and (B) 2018. Abundance being significantly different from each other in time per treatment are marked by different letters for each microarthropod group (Wilcoxon signed-rank test [p ˂ 0.05]). Months not sampled are marked by asterisks. Error bars = standard error. sav ctrl: savanna, mb: maize bare, mbnpk: maize with chemical NPK fertilizer, mmdom: maize with dry organic matter (DOM).
Figure 2 in Effect of three different land use types on the temporal dynamics of microarthropod abundance in the high Guinean savanna of Ngaoundéré (Adamawa, Cameroon)
Figure 2. Completely randomized block design of the experimental field; experimental field before sowing (A: 08/05/17) and with maize crop (B: 28/06/17); sav ctrl: savanna untreated (outside). mb(1): maize bare = maize plot without mulch or NPK fertilizer; mbnpk(2): maize bare with NPK = Maize plot treated with NPK fertilizer only and mmdom(3): maize mulch = maize plot treated with mulch only.
Figure 1 in Effect of three different land use types on the temporal dynamics of microarthropod abundance in the high Guinean savanna of Ngaoundéré (Adamawa, Cameroon)
Figure 1. Weather data for the Ngaoundéré area, Jan. to Dec. 2017 and 2018, provided by Ngaoundéré airport meteorological station; t: temperature, p: precipitation, h: relative humidity; h: averages per month; p: sum per month.
Figure 3 in Effect of three different land use types on the temporal dynamics of microarthropod abundance in the high Guinean savanna of Ngaoundéré (Adamawa, Cameroon)
Figure 3. Abundances (mean ± S.E.) of Acari and Collembola for the rainy seasons of 2017 (n = 4) and 2018 (n = 4) as well as for the dry season of 2017/18 (n = 2). n sampling campaigns with 9 samples per plot [sav ctrl: savanna; mb: maize bare; mbnpk: maize with chemical NPK fertilizer; mmdom: maize with dead organic matter (DOM)].
Figure 4 in Effect of three different land use types on the temporal dynamics of microarthropod abundance in the high Guinean savanna of Ngaoundéré (Adamawa, Cameroon)
Figure 4. Abundances (mean ± S.E.) of Oribatida and Gamasina for the rainy seasons of 2017 (n = 4) and 2018 (n = 4) as well as for the dry season of 2017/18 (n = 2). n sampling campaigns with 9 samples per plot [sav ctrl: savanna; mb: maize bare; mbnpk: maize with chemical NPK fertilizer; mmdom: maize with dead organic matter (DOM)].
1-km high resolution model outputs using the WRF and WRF-Hydro model Raw data from the manuscipt "Process-based Atmosphere-Hydrology-Malaria Modeling: Performance for Spatio-temporal Malaria Transmission Dynamics in Sub-Saharan Africa "
<p>Here we provide the model outputs from the numerical climate model WRF (Weather Research and Forecasting) and its hydrological coupled model WRF-Hydro for the Health and Demographic Surveillance Systems (HDSS) site regions of Nouna in Burkina Faso. Model results are used for investigating the influence of surface hydrology representation, environmental and climate-sensitive driver factors on malaria incidence.<br>The experiments use the following model configuration: 1km horizontal resolution with 200*200 grid points, WSM6 microphysics, ACM2 PBL, and RRTM & Dudhia radiation scheme. WRF uses the Noah LSM, and WRF-Hydro uses the Noah LSM with enhanced lateral hydrological description (https://ral.ucar.edu/projects/wrf_hydro/overview). These simulations were conducted in the Karlsruhe Steinbuch Centre for Computing (SCC) Horeka.</p> <p>Model outputs are provided in daily step (originally derived from the hourly output). Filename with "wrf-hydro_pr_2000-2020_d02-1km.nc" provides Precipitation,<br>n mm/day"wrf-hydro_tas_2000-2020_d02-1km.nc" provides mean temperature in Celsius, "wrf-hydro_tasmax_2000-2020_d02-1km.nc" provides maximum temperature in Celsius, "wrf-hydro_tasmin_2000-2020_d02-1km.nc" provides minmum temperature in Celsius, "wrf-hydro_dtr_2000-2020_d02-1km.nc" provides diurnal temperature ranges in Celius, "wrf-hydro_rh_2000-2020_d02-1km.nc" provides relative humudity in % and "wrf-hydro_sw_2000-2020_d02-1km.nc" provides the surface hydrology.</p>
Presentation in ARO2024: Middle-ear sound transmission in cadaveric temporal bones
<p>This is Bastian Baselt's presentation in ARO 2024. This data include presentations and related data.</p> <p>A subfolder "Data" includes categorized raw data and explanation for the data.</p>
Results for the paper "The impact of temporal hydrogen regulation on hydrogen exporters and their domestic energy transition"
<p>As global demand for green hydrogen rises, potential hydrogen exporters move into the spotlight. However, the large-scale installation of on-grid hydrogen electrolysis for<br>export can have profound impacts on domestic energy prices and energy-related emissions. Our investigation explores the interplay of hydrogen exports, domestic<br>energy transition and temporal hydrogen regulation, employing a sector-coupled energy model in Morocco. We find substantial co-benets of domestic climate change<br>mitigation and hydrogen exports, whereby exports can reduce domestic electricity prices while mitigation reduces hydrogen export prices. However, increasing hydrogen<br>exports quickly in a system that is still dominated by fossil fuels can substantially raise domestic electricity prices, if green hydrogen production is not regulated.<br>Surprisingly, temporal matching of hydrogen production lowers domestic electricity cost by up to 31% while the effect on exporters is minimal. This policy instrument can<br>steer the welfare (re-)distribution between hydrogen exporting firms, hydrogen importers, and domestic electricity consumers and hereby increases acceptance<br>among actors.</p>
Fig. 5 in Nestedness of stream insects in Subtropical region: importance of inter-annual temporal scale
Fig. 5. NODF nestedness of Chironomidae (Diptera) assemblages in streams of southern Brazil in the summer and winter of 2010, 2011 and 2012. (A) Each line represents a stream independent of intra- and inter-annual factor. (B, C, D) Dotted lines represent winter data and continuous lines represent summer data. In these graphs, the individual information for each stream was grouped to assess intra-annual nestedness.
Fig. 4 in Nestedness of stream insects in Subtropical region: importance of inter-annual temporal scale
Fig. 4. Boxplot of water temperature, dissolved organic carbon (DOC), dissolved oxygen (DO), dissolved total nitrogen (DTN) and precipitation in the summer and winter of 2010, 2011 and 2012 in streams of southern Brazil (only variables with significant differences for each year).
Fig. 2 in Nestedness of stream insects in Subtropical region: importance of inter-annual temporal scale
Fig. 2. Abundance and richness of Chironomidae (Diptera) in streams of southern Brazil in the summer and winter of 2010, 2011 and 2012.
Fig. 1 in Nestedness of stream insects in Subtropical region: importance of inter-annual temporal scale
Fig. 1. Location of sampling sites in southern Brazil (F, Faxinalzinho city; E, Erechim; MR, Marcelino Ramos; TA, TrÊs Arroios).
Fig. 3 in Nestedness of stream insects in Subtropical region: importance of inter-annual temporal scale
Fig. 3. Boxplot of dissolved organic carbon (DOC), dissolved oxygen (DO), dissolved total nitrogen (DTN) and precipitation in streams of southern Brazil in the summer and winter of 2010, 2011 and 2012.
Spatial and temporal thermal trends of the lower Kuskokwim and Aniak Rivers, AK, USA
<h4><span>Adequate environmental data describing freshwater conditions (particularly temperature) that may influence Chinook salmon populations (which have had record low returns in recent years) are lacking. This ongoing project is using a combination of site-based temperature logger data and satellite imagery (MODIS and Landsat 8) to model continuous temperature data at two different scales, with the aim to identify thermal freshwater refugia for juvenile and adult salmon in the main Kuskokwim and Aniak Rivers. Adopting a standard for thermal data collection protocols for the Kuskokwim basin and important spawning tributaries could be used to understand changing temperature regimes, effects of temperature on salmon population dynamics, and identifying critical thermal refugia, all of which are important for managing subsistence fisheries. Our project seeks to employ a methodology having sufficient rigor that it can identify thermal regimes in critical habitats and at broad spatial and temporal scales, while also being cost effective. Modeling efforts are currently underway. Mean daily temperature data collected by all temperature loggers in the mainstem Kuskokwim and mainsteam Aniak Rivers, as well as floodplain habitats of the Aniak River (including beaver ponds, orthofluvial and parafluvial springbrooks) are provided here. Predicted temperatures and data from imagery will be published online when the project manuscript is published.</span></h4>
Basin-scale spatio-temporal development of glacial lakes in the Hindukush-Karakoram-Himalayas
<p>This dataset offers detailed inventories of glacial lakes for the years 1990, 2000, 2010, and 2020 in the Hindu Kush Himalaya (HKH) region. Landsat satellite imagery was utilised to map glacial lakes, encompassing all lakes that are equal to or exceed 0.0036 km² in size.</p> <p>In the latest inventory from 2020, we identified a total of 19,284 glacial lakes, encompassing a cumulative area of 1191.81 ± 209.21 km². The investigation encompasses comprehensive mapping at the sub-basin level over the whole study area, facilitating regional-scale evaluations of glacial lake distribution and expansion. The findings reveal a significant rise in glacial lakes over the last thirty years, with a 9.31% increase in the number of lakes and a 10.09% increase in total lake area within the HKH region.</p>
Code and Data to "Quantile regression for temporal streamflow modeling"
<p>This is the accompanying code to "Quantile regression for temporal streamflow modeling", which is part of the manuscript "The Role of Process Heterogeneity in Statistical Modeling", which was submitted to the Austrian Journal of Statistics. </p> <p> </p> <p>The data used in this publication is fully accessible through the <a href="https://doi.org/10.5194/essd-13-4529-2021" target="_blank" rel="noopener">LamaH-CE</a> dataset. The two scripts "functions_create_data.R" and "create_data.R" will create the final dataset used for modelling. </p> <p>"functions_modelling.R" provide the functions for tuning the XGBoost model and computing the SHAP values. An example script is also attached (calc_predictions_shap.R). "analyzing_results.R" and "error_metrics.R" will produce the final output used in the manuscript. Finally, two plots produced in the script are added as pdf. </p> <p>All data analysis was performed in R, and we want to acknowledge the following packages: <a href="https://dplyr.tidyverse.org/">dplyr</a>, <a href="https://tidyr.tidyverse.org/">tidyr</a>, <a href="https://www.jstatsoft.org/v40/i03/">lubridate</a>, <a href="https://purrr.tidyverse.org/">purrr</a>, <a href="https://doi.org/10.18637/jss.v033.i01">glmnet</a>, <a href="https://cran.r-project.org/web/packages/xgboost/index.html">xgboost</a>, <a href="https://CRAN.R-project.org/package=shapr">shapr</a>, <a href="https://CRAN.R-project.org/package=Metrics">Metrics</a>, <a href="https://CRAN.R-project.org/package=gridExtra" target="_blank" rel="noopener">gridExtra</a>, <a href="https://doi.org/10.18637/jss.v014.i06">zoo</a> and <a href="https://CRAN.R-project.org/package=wesanderson">wesanderson</a>. </p> <p> </p>
Multi-temporal elevation changes of Fedchenko Glacier (Tajikistan) from 1928 to 2021
<p>This dataset contains rasters of elevation changes on and around Fedchenko Glacier. All the elevation change maps are provided relatively to a Pléiades DEM acquired on 2021-09-20. Rasters are georeferenced in UTM43, and are provided in the form of *.tif files.</p> <p>For methodological details, please refer to the final publication of the article "Multi-temporal elevation changes of Fedchenko Glacier (Tajikistan) from 1928 to 2021" by Brun and others, or refer to the pre-print available at <a href="https://doi.org/10.31223/X5CX1H">https://doi.org/10.31223/X5CX1H</a></p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.