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Indicative distribution map for Ecosystem Functional Group F1.2 Permanent lowland rivers
<p>This archive contains indicative distribution maps and profiles for <strong>F1.2 Permanent lowland rivers</strong>, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith <em>et al.</em> (2020) for details.</p> <p>The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).</p>
Indicative distribution map for Ecosystem Functional Group T1.1 Tropical/Subtropical lowland rainforests
<p>This archive contains indicative distribution maps and profiles for <strong>T1.1 Tropical/Subtropical lowland rainforests</strong>, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith <em>et al.</em> (2020) for details.</p> <p>The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).</p>
Indicative distribution map for Ecosystem Functional Group F1.7 Large lowland rivers
<p>This archive contains indicative distribution maps and profiles for <strong>F1.7 Large lowland rivers</strong>, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith <em>et al.</em> (2020) for details.</p> <p>The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).</p>
Indicative distribution map for Ecosystem Functional Group F1.5 Seasonal lowland rivers
<p>This archive contains indicative distribution maps and profiles for <strong>F1.5 Seasonal lowland rivers</strong>, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith <em>et al.</em> (2020) for details.</p> <p>The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).</p>
Supporting data for 'Hourly prediction of phytoplankton biomass and its environmental controls in lowland rivers'
<p>This dataset is used in the manuscript 'Hourly prediction of phytoplankton biomass and its environmental controls in lowland rivers' published in Water Resources Research. The dataset contains hourly observation of water quality in the lower Thames catchment, UK and were made available by the Environment Agency, UK. </p>
Phlorest phylogeny derived from Walker & Ribeiro 2011 'Bayesian phylogeography of the Arawak expansion in lowland South America'
<p>Cite the source of the dataset as:</p> <blockquote> <p>Walker, R. S., & Ribeiro, L. A. (2011). Bayesian phylogeography of the Arawak expansion in lowland South America. Proceedings of the Royal Society B: Biological Sciences, 278(1718), 2562–2567.</p> </blockquote>
Data for Publication "Sensitivity of precipitation in the highlands and lowlands of Peru to physics parameterization options in WRFV3.8.1"
<p>The data are made available as part of the paper "Sensitivity of precipitation in the highlands and lowlands of Peru to physics parameterization options in WRFV3.8.1", submitted to Geoscientific Model Development. This data set incorporates selected postprocessed files needed to reproduce the results presented in the paper. </p> <p>The files including the monthly means of precipitation for domain 2 (5 km) are named following the same structure:</p> <p> RR-D02-EXPERIMENTNAME-25km3Doms-YYYY_monthly.nc</p> <p>These are the options available in each case:</p> <ul> <li>EXPERIMENTNAME: Europe, SouthAmerica, Kenya, Micro13 or NoCumulus. These are the names included in Table 1 <br> from the paper.</li> <li>YYYY: 2008 or 2012. This is only applicable to precipitation.</li> </ul> <p>The field means for the northeastern slopes follow this structure:</p> <p> VARIABLE-D02-ERA5-Peru-25-Present-EXPERIMENTNAME-2008.EastLow.fldmean.nc</p> <ul> <li>VARIABLE: CLOUDFRA, PW, RH2, RR, SMOIS or T2. This abbreviations represent the following variable from the model<br> respectively: cloud fraction, precipitable water, relative humidity at 2 meters, total precipitation, soil moisture<br> and temperature at 2 meters.</li> <li>EXPERIMENTNAME: Europe, SouthAmerica, Kenya, Micro13 or NoCumulus. These are the names included in Table 1<br> from the paper.</li> </ul> <p>These files contained hourly values so to obtain the monthly means or sums the user must perform the following command:</p> <p> cdo monmean/monsum in.nc out.nc</p> <p>Two .txt files including the information about the stations considered for the validation of the WRF experiments for year 2008 or 2012 are also included. The data is separated with white spaces, and the structure of the columns is the following one:</p> <p> STATION LATITUDE LONGITUDE ELEVATION COUNTRY PROVIDER REGION</p> <p>Finally, two .zip files are provided. Scripts.zip includes all the scripts used to read, process and plot the data from the model, and Namelist_files.zip includes all the namelist files used to run the WRF simulations.</p> <p> </p>
Shorebird survey data from Foxe Basin and Rasmussen Lowlands, Nunavut - 1994-97 and 2019.
<p>Data used in the manuscript "Climate-related range shifts in Arctic-breeding shorebirds", submitted to Diversity and Distributions, June 2022. Data was funded and collected by Environment and Climate Change Canada</p> <p>Metadata:</p> <p>species - 4 letter codes denoting the observed shorebird species. See https://www.birdpop.org/docs/misc/Alpha_codes_eng.pdf</p> <p>binomial - Binomial nomenclature identifying the genus and species of the observed shorebird</p> <p>sti - Species Temperature Index. Calculated as the mean temperature with in the species breeding range. Temperature data came from the WorldClim 2.1 data set (Fick, S.E. and R.J. Hijmans, 2017. WorldClim 2: new 1km spatial resolution climate surfaces for global land areas. International Journal of Climatology 37 (12): 4302-4315). Shorebird breeding range data came from BirdLife International (BirdLife International and Handbook of the Birds of the World. 2020. “Bird Species Distribution Maps of the World. Version 2020.1.” http://datazone.birdlife.org/species/requestdis.)</p> <p>plot - Plot identification number, as part of Environment and Climate Change Canada's Program for Regional and International Shorebird Monitoring program (PRISM).</p> <p>time_period - Denotes which time period the surveys took place in</p> <p>region - Denotes which region the surveys took place in</p> <p>plot_area_km2 - Area of the surveyed plot in km2</p> <p>plot_habitat - Surveyors estimated the proportion of each plot covered by upland and lowland habitat. Plots were the categorized as upland or lowland depending on which habitat type was predominant</p> <p>n_birds - The number of breeding birds of this species that were observed on plot during the survey.</p> <p>presence - A species was identified as present if one or more individuals of that species were present during the survey.</p> <p>latitude - Latitude of the plot corner</p> <p>longitude - Longitude of the plot corner</p> <p>coordinate_type - Which corner of the plot are the coordinates for?</p>
Effects of permafrost thaw on nitrogen availability and plant-soil interactions in a boreal Alaskan lowland: I - Percent Cover Data 2013
This dataset examines shifts in plant community structure along a lowland boreal permafrost thaw chronosequence. Data was collected in 2013 at the APEX Beta and forested study plots, located adjacent to the BNZ experimental forest. Percent cover data was collected for subcanopy vascular and nonvascualr vegetation in July 2013.
Effects of permafrost thaw on nitrogen availability and plant-soil interactions in a boreal Alaskan lowland: II - Nitrogen Data 2013
This dataset examines shifts in extractable soil pore water chemistry along a lowland boreal permafrost thaw chronosequence. Data was collected in 2013 at the APEX Beta and forested study plots, located adjacent to the BNZ experimental forest. Measured parameters include: dissolved inorganic N (DIN), dissolved organic N (DON), free amino acids, total dissolved N (TDN), soil temp. at 10 cm, seasonal ice depth, and volumetric soil moisture at 10 cm. Soil pore water samples and environmental variables were collected every three to four weeks from late June to late September, 2013 for a total of five sampling events.
Effects of permafrost thaw on nitrogen availability and plant-soil interactions in a boreal Alaskan lowland: III - Root Abundance 2013
This dataset examines shifts in rooting along a lowland boreal permafrost thaw chronosequence. Data was collected in 2013 at the APEX Beta and forested study plots, located adjacent to the BNZ experimental forest.
Effects of permafrost thaw on nitrogen availability and plant-soil interactions in a boreal Alaskan lowland: IV - Plant vs Nitrogen Data 2013
This dataset examines shifts in soil and plant characteristics, and extractable soil pore water chemistry along a lowland boreal permafrost thaw chronosequence. Data was collected in 2013 at the APEX Beta and forested study plots, located adjacent to the BNZ experimental forest. Data includes mean DIN, DON, free amino acids, and TDN from seasonal pore water measurements as well as aboveground vegetation C and N concentrations, and summertime, litterfall % N, and resorption efficiency for C. calyculata.
Effects of permafrost thaw on nitrogen availability and plant-soil interactions in a boreal Alaskan lowland: V - Isotape Data 2013
This dataset examines shifts in foliar del N 15 concentations for three plant species found across a lowland boreal permafrost thaw chronosequence. Data was collected in 2013 at the APEX Beta and forested study plots, located adjacent to the BNZ experimental forest.
Effects of permafrost thaw on nitrogen availability and plant-soil interactions in a boreal Alaskan lowland: VI - Soil Nitrogen Pools
This dataset examines shifts in soil N and extractable soil pore water chemistry along a lowland boreal permafrost thaw chronosequence. Data was collected in 2013 at the APEX Beta and forested study plots, located adjacent to the BNZ experimental forest. Measured parameters include: dissolved inorganic N, dissolved organic N, free amino acids, total dissolved N, C:N of soil material, soil bulk density, soil N concentration, soil C concentrations, volumetric soil moisture. Soil pore water samples were collected every three to four weeks from late June to late September, 2013 for a total of five sampling events, while soil cores were collected in late July 2013 for physical characterstics and soil C and N concentrations.
Fig. 4 in A new species of Tetragonopterus (Characiformes: Characidae) from Central Amazon lowlands, Brazil
Fig. 4. Map of northern South America showing the distribution of Tetragonopterus manaos; yellow circle represents the holotype and black circles represent paratypes.
Figures 7-9 in The first lowland species of the Holarctic alpine ground spider genus Parasyrisca (Araneae, Gnaphosidae) from Hungary
Figures 7-9. Parasyrisca arrabonica Szinetár & Eichardt, sp. n. 7 male pedipalp, ventral view 8 same, semi-retrolateral view, showing the pointed tip of the conductor (c – arrowed) 9 same, retrolateral view. Scale bar = 0.3.
Figures 12-14 in The first lowland species of the Holarctic alpine ground spider genus Parasyrisca (Araneae, Gnaphosidae) from Hungary
Figures 12-14. Parasyrisca arrabonica Szinetár & Eichardt, sp. n., male habitus: 12 paratype from Orgovány, prosoma, dorsolateral view, showing the strong setae on the paturon 13 same specimen, dorsal view 14 same specimen, ventral view. Scale bar = 2.0.
Figures 1-6 in The first lowland species of the Holarctic alpine ground spider genus Parasyrisca (Araneae, Gnaphosidae) from Hungary
Figures 1-6. Parasyrisca arrabonica Szinetár & Eichardt, sp. n.: Male holotype: 1 pedipalp, prolateral view 2 same, ventral view 3 same, retrolateral view. Female: 4 epigyne, ventral view 5 vulva, dorsal view 6 posterior ridge (PRE) of the female epigyne, rear view. Scale bars: 1-3 0.3 4-6 0.2.
Figures 18-19 in The first lowland species of the Holarctic alpine ground spider genus Parasyrisca (Araneae, Gnaphosidae) from Hungary
Figures 18-19. Distribution maps of the genus Parasyrisca: 18 Eurasian distribution of the species groups of Parasyrisca (red, pink – potanini group, pink – P. arrabonica, P. turkenica, P. songi, yellow – vinosus group, light blue – guzeripli group, dark blue – breviceps group) 19 European distribution of Parasyrisca (red – potanini group, yellow – vinosus group). Yellow question marks represent doubtful records.
Data from: Occupancy patterns and upper range limits of lowland Bornean birds along an elevational gradient
<p>Aim: The traditional view of species' distributions is that they are less abundant near the edges of their ranges and more abundant toward the center. Testing this pattern is difficult because of the complexity of distributions across wide geographical areas. An alternative strategy, however, is to measure species' distributional patterns along elevational gradients. We applied this strategy to examine whether lowland forest birds are indeed less common near their upper range limits on a Bornean mountain, and tested co-occurrence patterns among species for potential causes of attenuation, including signatures of habitat selection and competition at the periphery of their ranges.</p> <p>Location: Mt. Mulu, Borneo</p> <p>Taxon: Rain forest birds Methods: We surveyed lowland forest birds on Mt. Mulu (2,376 m), classified their elevation-occupancy distributions using Huisman – Olff – Fresco (HOF) models, and examined co-occurrence patterns of species pairs for signatures of shared habitat patches and interspecific competition.</p> <p>Results: For 39 of 50 common species, occupancy was highest at sea level then gradually declined near their upper range edges, in keeping with a 'rare periphery' hypothesis. With respect to habitat selection, lowland species do not appear to cluster together at sites of patchy similar habitat near their upper range limits; neither are most lowland species segregated from potential montane competitors where ranges overlap.</p> <p>Main conclusions: High relative abundance at sea level implies that species inhabit 'truncated niches' and are not currently near the limits of their fundamental niche, unless unknown critical response thresholds exist. However, indirect effects of increasing temperature predicted under climate change scenarios could still influence lower range limits of lowland species indirectly by altering habitat, precipitation regimes, and competitive interactions. The lack of non-random co-occurrence patterns implies that patchy habitat and simple pairwise species interactions are unlikely to be responsible for upper range limits in most species; diffuse competition across diverse rain forest bird communities could still play a role.</p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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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.