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14 results for “East African Rift”

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zenodo40/100

Linked collectors and determiners for: New and little known species of the genus Orphnus MacLeay (Coleoptera: Scarabaeidae: Orphninae) from the East African Rift.

Natural history specimen data linked to collectors and determiners held within, "New and little known species of the genus Orphnus MacLeay (Coleoptera: Scarabaeidae: Orphninae) from the East African Rift". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/05375634-2bf8-4058-b1c1-8c54f2dbb3c5">https://bionomia.net/dataset/05375634-2bf8-4058-b1c1-8c54f2dbb3c5</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/05375634-2bf8-4058-b1c1-8c54f2dbb3c5">https://gbif.org/dataset/05375634-2bf8-4058-b1c1-8c54f2dbb3c5</a>. Formatted as a Frictionless Data package.

opencc-zeroJan 2024View details →
zenodo36/100

Additional data and models for the article "Role of metasomatism in the development of the East African Rift at the Northern Tanzanian Divergence: Insights from 3D magnetotelluric modelling."

<p>Additional data and models for the article "Role of metasomatism in the development of the East African Rift at the Northern Tanzanian Divergence: Insights from 3D magnetotelluric modelling."</p> <p>This data package includes:</p> <p>1-ModEM rho and dat format files of the final preferred model.</p> <p>2-vtk version of this model</p> <p>3-Scripts to plot the MT models</p> <p>4-Water content models calculated with MATE</p> <p>5-Scripts to plot the water content models</p> <p>6-Parameter files used in water calculation with MATE</p> <p>7- EDI files used in the model.</p>

opencc-by-4.0Aug 2023View details →
zenodo36/100

Biogeochemical data from the HIPE project in Lakes Edward and George (East African Rift)

<p>The geo-referenced and timestamped data-set consists of 7 files:</p> <ul> <li>&ldquo;db_cruise_CTD&rdquo; contains the CTD profiles obtained during the cruises</li> <li>&ldquo;db_cruise_GHGs&rdquo; contains CO2, CH4, N2O dissolved concentrations, chlorophyll-a concentrations, inorganic nutrients (NO3-, N2O-, NH4+, PO43-) and d13C-CH4 from the 4 cruises</li> <li>&ldquo;db_monitoring&rdquo; contains CO2, CH4, N2O dissolved concentrations, chlorophyll-a concentrations, and POC from the monitoring at two stations (January 2017 to December 2019)</li> <li>&ldquo;db_uw&rdquo; contains the continuous of CO2 and CH4 (plus EXO-II data) on 19/03/2019</li> <li>&ldquo;meteo_Mweya&rdquo; contains the meteorological data acquired from June 2016 to March 2019</li> <li>&ldquo;db_monitoring_CTD&rdquo; contains the CTD profiles from the deep station of the monitoring.</li> <li>&ldquo;mooring&rdquo; contains the temperature data from a mooring at a station 10 m deep (March 2019)</li> </ul> <p>&nbsp;</p> <p>Data were acquired in Lake Edward, Kazinga Channel and Lake George on four occasions (20/10-07/11/2016, 23/03-08/04/2017, 18/01-02/02/2018, 21/03-30/03/2019). From January 2017 to December 2019, a shallow station (3 m bottom depth) and a deeper station (22 m bottom depth) were regularly sampled, every 21 d in 2017 and 2018, and every 30 d in 2019. A mooring was deployed at a station at 10m bottom depth in Lake Edward (-0.2459&deg;N 29.8635&deg;E) equipped with RBR Solo temperature sensors at 6 depths from surface to 1m above the sediment (0.2, 1.0, 2.0, 5.0, 7.5 and 9.0 m depth) from 21/03/2019 (13:00 local time (LT)) to 23/03/2019 (13:50 LT)<em>.</em></p> <p>&nbsp;</p> <p>Solar radiation, ultraviolet radiation, wind speed (cup anemometer), wind direction (wind vane), rain (mechanical rain collector), air temperature, barometric pressure data were acquired with a Davis Instruments weather station (Vantage Pro2 fitted with standard manufacturer sensors) in Mweya on top of a building of the Uganda Wildlife Authority, 4m above ground (-0.190384&deg;N&nbsp; 29.899103&deg;E) . Data were measured every 5 seconds, averaged and logged every 10 minutes.</p> <p>During the March 2019 cruise, continuous measurements (1 min interval) of partial pressure of CO<sub>2</sub> (pCO<sub>2</sub>) and of partial pressure of CH<sub>4</sub> (pCH<sub>4</sub>) were made with an equilibrator designed for turbid waters consisting of a tube filled with glass marbles (Frankignoulle et al. 2001) coupled to a Los Gatos Research off-axis integrated cavity output spectroscopy analyzer (Ultraportable Greenhouse Gas Analyzer with extended range for CH<sub>4</sub>). In parallel water temperature, specific conductivity, pH, dissolved oxygen saturation level (%O<sub>2</sub>), turbidity, chlorophyll-<em>a</em> (Chl-<em>a</em>), and fluorescent dissolved organic matter (FDOM) were measured with an YSI EXO-II multi-parameter probe, position with a Garmin geographical position system (Map 60S) portable probe, and depth with a Humminbird Helix 5 echo-sounder. Surface water was pumped to the equilibrator and the multi-parameter probe (on deck) with a 12V-powered water pump (LVM105) attached to the side of the boat at a fixed depth of about 0.5 m depth.</p> <p>Discrete sampling was done from the side of the boat with a 5.0 L Niskin bottle (General Oceanics). During the first cruise, vertical profiles of water temperature, specific conductivity, pH, %O<sub>2</sub> and Chl-<em>a</em> were measured with a Hydrolab DS5 multi-parameter probe, while during the other three cruises and also during the monitoring, turbidity and FDOM were measured additionally with a YSI EXO-II multi-parameter probe. Both multi-parameter probes were calibrated according to manufacturer&rsquo;s specifications, in air for %O<sub>2</sub> and with standard solutions for other variables: commercial pH buffers (4.00, 7.00, 10.00), a 1000 &micro;S cm<sup>-1</sup> standard for conductivity. pCO<sub>2</sub> was measured directly after water sampling with a Li-Cor Li-840 infra-red gas analyser (IRGA) based on the headspace technique with 4 polypropylene 60 ml syringes (Borges et al. 2015). The Li-Cor 840 IRGA was calibrated before and after each cruise with ultrapure N<sub>2</sub> and a suite of gas standards (Air Liquide Belgium) with CO<sub>2</sub> mixing ratios of 388, 813, 3788 and 8300 ppm. The overall precision of pCO<sub>2</sub> measurements was &plusmn;2.0%.</p> <p>Samples for CH<sub>4</sub> and N<sub>2</sub>O were collected from the Niskin bottle with a silicone tube in 60 ml borosilicate serum bottles (Wheaton), poisoned with 200 &micro;L of a saturated solution of HgCl<sub>2</sub> and sealed with a butyl stopper and crimped with an aluminium cap. Measurements were made with the headspace technique (Weiss 1981) and a gas chromatograph (GC) (SRI 8610C) with a flame ionisation detector for CH<sub>4</sub> and electron capture detector for N<sub>2</sub>O calibrated with CO<sub>2</sub>:CH<sub>4</sub>:N<sub>2</sub>O:N<sub>2</sub> gas mixtures (Air Liquide Belgium) with mixing ratios of 1, 10 and 30 ppm for CH<sub>4</sub>, 404, 1018, 3961 ppm for CO<sub>2</sub>, and 0.2, 2.0 and 6.0 ppm for N<sub>2</sub>O. The precision of measurement based on duplicate samples was &plusmn;3.9% for CH<sub>4</sub> and &plusmn;3.2% for N<sub>2</sub>O.</p> <p>Samples for the stable isotope composition of CH<sub>4</sub> (&delta;<sup>13</sup>C-CH<sub>4</sub>) were collected and preserved as described above for the CH<sub>4</sub> concentration. The &delta;<sup>13</sup>C-CH<sub>4</sub> was determined with a custom developed interface, whereby a 20 ml He headspace was first created, and CH<sub>4</sub> was flushed out through a double-hole needle, non-CH<sub>4</sub> volatile organic compounds were trapped in liquid N<sub>2</sub>, CO<sub>2</sub> was removed with a soda lime trap, H<sub>2</sub>O was removed with a magnesium perchlorate trap, and the CH<sub>4</sub> was quantitatively oxidized to CO<sub>2</sub> in an online combustion column similar to that of an elemental analyzer. The resulting CO<sub>2</sub> was subsequently pre-concentrated by immersion of a stainless steel loop in liquid N<sub>2</sub>, passed through a micropacked GC column (Restek HayeSep Q, 2m length, 0.75mm internal diameter), and finally measured on a Thermo DeltaV Advantage isotope ratio mass spectrometer (IRMS). Calibration was performed with CO<sub>2</sub> generated from certified reference standards (IAEA-CO-1 or NBS-19, and LSVEC) and injected in the line after the CO<sub>2</sub> trap. Reproducibility of measurement based on duplicate injections of samples was typically better than &plusmn;0.5 &permil;.</p> <p>Water was filtered on Whatman glass fibre filters (GF/F grade, 0.7 &micro;m porosity) for particulate organic carbon (POC) and Chl-<em>a</em> (47 mm diameter). Filters for POC were stored dry and filters for Chl-<em>a</em> were stored frozen at -20&deg;C. Filters for POC analysis were decarbonated with HCl fumes for 4h and dried before encapsulation into silver cups; POC concentration was analysed on an EA-IRMS (Thermo FlashHT with DeltaV Advantage), with a reproducibility better than &plusmn;5%. Data were calibrated with certified (IAEA-600: caffeine) and in-house standards (leucine and muscle tissue of Pacific tuna) that were previously calibrated versus certified standards. The Chl-<em>a</em> samples were analysed by HPLC according to Descy et al. (2005), with a reproducibility of &plusmn;0.5% and a detection limit of 0.01 &micro;g L<sup>-1</sup>.</p> <p>The water filtered through GF/F Whatman glass fibre filters was collected and further filtered through polyethersulfone syringe encapsulated filters (0.2 &micro;m porosity) for nitrate (NO<sub>3</sub><sup>-</sup>), nitrite (NO<sub>2</sub><sup>-</sup>) and ammonium (NH<sub>4</sub><sup>+</sup>) and were stored frozen (-20&deg;C) in 50 mL polypropylene vials. NO<sub>3</sub><sup>-</sup> and NO<sub>2</sub><sup>-</sup> were determined with the sulfanilamide colorimetric with the vanadium reduction method (APHA, 1998), and NH<sub>4</sub><sup>+</sup> with the dichloroisocyanurate-salicylate-nitroprussiate colorimetric method (SCA, 1981). Detection limits were 0.3, 0.01, and 0.15 &micro;mol L<sup>-1</sup> for NH<sub>4</sub><sup>+</sup>, NO<sub>2</sub><sup>-</sup> and NO<sub>3</sub><sup>-</sup>, respectively. Precisions were &plusmn;0.02 &micro;mol L<sup>-1</sup>, &plusmn;0.02 &micro;mol L<sup>-1</sup>, and &plusmn;0.1 &micro;mol L<sup>-1</sup> for NH<sub>4</sub><sup>+</sup>, NO<sub>2</sub><sup>-</sup> and NO<sub>3</sub><sup>-</sup>, respectively.</p> <p>&nbsp;</p> <p>References</p> <p>&nbsp;</p> <p>APHA, 1998. Standard methods for the examination of water and wastewater, American Public Health Association.</p> <p>Borges, A. V., Darchambeau, F., Teodoru, C. R., Marwick, T. R., Tamooh, F., Geeraert, N., Omengo, F. O., Gu&eacute;rin, F., Lambert, T., Morana, C., Okuku, E., and Bouillon, S.: Globally significant greenhouse gas emissions from African inland waters, Nature Geosci., 8, 637-642, doi:10.1038/NGEO2486, 2015.</p> <p>Descy, J.-P., Hardy, M.-A., St&eacute;nuite, S., Pirlot, S., Leporcq, B., Kimirei, I., Sekadende, B., Mwaitega, S. R., and Sinyenza, D., 2005. Phytoplankton pigments and community composition in Lake Tanganyika. Freshw. Biol., 50, 668-684.</p> <p>Frankignoulle, M., Borges, A., Biondo R., 2001. A new design of equilibrator to monitor carbon dioxide in highly dynamic and turbid environments. Water Res., 35, 1344-1347.</p> <p>Standing committee of Analysts: Ammonia in waters. Methods for the examination of waters and associated materials. 16 pp., 1981.</p> <p>Weiss, R.F., 1981. Determinations of carbon dioxide and methane by dual catalyst flame ionization chromatography and nitrous oxide by electron capture chromatography. J. Chromatogr. Sci., 19, 611-616.</p>

opencc-by-4.0Oct 2022View details →
zenodo36/100

Redefining East African Rift System kinematics: Supplementary Model Files

<p>Supplementary kinematic model input and output files for the Geology publication&nbsp;Redefining East African Rift System kinematics. Model input files are for the open-source code TDEFNODE.&nbsp;</p>

opencc-by-4.0Jul 2020View details →
zenodo32/100

FIGURES 1–7. Orphnus longicornis. 1 in A new brachypterous scarab species, Orphnus longicornis (Coleoptera: Scarabaeidae: Orphninae), from the East African Rift

FIGURES 1–7. Orphnus longicornis. 1, holotype habitus in dorsal view; 2, holotype habitus in lateral view, 3–4, paratypes from the same locality as the holotype, 5, paratype from Oldoway Gorge); 6, holotype aedeagus in dorsal view and parameres in lateral view; 7, locality map (terrestrial ecoregions: 1—tropical and subtropical moist broadleaf forests, 2—tropical and subtropical grasslands, savannas, and shrublands, 3—flooded grasslands and savannas, 4—montane grasslands and shrublands, 5—mangroves, 6—lakes).

opennotspecifiedDec 2015View details →
zenodo32/100

FIGURES 3–10. Orphnus. Figs. 3, 4 in New and little known species of the genus Orphnus MacLeay (Coleoptera: Scarabaeidae: Orphninae) from the East African Rift

FIGURES 3–10. Orphnus. Figs. 3, 4—base of pronotum; Figs. 5–8—internal sac sclerite (8—sclerite broken); Figs. 9, 10— aedeagus in lateral view and parameres in dorsal view. Figs. 3, 5, 6, 9—O. planicollis. Figs. 4, 7, 8, 10—O. demeyeri, holotype.

opennotspecifiedSep 2013View details →
zenodo32/100

On following pages: 446. Glover Allen's Shaggy Rat (Dasymys alleni); 447. Middle Shaggy Rat (Dasymys medius); 448. Rwandan Shaggy Rat (Dasymys rwandae); 449. Tanzanian Shaggy Rat (Dasymys sua); 450. CrawfordCabral's Shaggy Rat (Dasymys cabrali); 451. Angolan Shaggy Rat (Dasymys nudipes); 452. Roberts's Shaggy Rat (Dasymys robertsii); 453. Cape Shaggy Rat (Dasymys capensis), 454. African Shaggy Rat (Dasymys incomtus); 455. Ethiopian Thicket Rat (Grammomys minnae); 456. Arid Woodland Thicket Rat (Grammomys aridulus); 457. Bunting's Thicket Rat (Grammomys buntingi); 458. Western Rainforest Thicket Rat (Grammomys poensis); 459. Albertine Rift Thicket Rat (Grammomys dryas); 460. Eastern Rainforest Thicket Rat (Grammomys kuru); 461. Short-snouted Thicket Rat (Grammomys brevirostris); 462. Gray-headed Thicket Rat (Grammomys caniceps); 463. Mount Kenya Thicket Rat (Grammomys gigas); 464. East African Thicket Rat (Grammomys ibeanus); 465. Macmillan's Thicket Rat (Grammomys macmillani); 466. Selous's Thicket Rat (Grammomys selousi); 467. in Muridae

On following pages: 446. Glover Allen's Shaggy Rat (Dasymys alleni); 447. Middle Shaggy Rat (Dasymys medius); 448. Rwandan Shaggy Rat (Dasymys rwandae); 449. Tanzanian Shaggy Rat (Dasymys sua); 450. CrawfordCabral's Shaggy Rat (Dasymys cabrali); 451. Angolan Shaggy Rat (Dasymys nudipes); 452. Roberts's Shaggy Rat (Dasymys robertsii); 453. Cape Shaggy Rat (Dasymys capensis), 454. African Shaggy Rat (Dasymys incomtus); 455. Ethiopian Thicket Rat (Grammomys minnae); 456. Arid Woodland Thicket Rat (Grammomys aridulus); 457. Bunting's Thicket Rat (Grammomys buntingi); 458. Western Rainforest Thicket Rat (Grammomys poensis); 459. Albertine Rift Thicket Rat (Grammomys dryas); 460. Eastern Rainforest Thicket Rat (Grammomys kuru); 461. Short-snouted Thicket Rat (Grammomys brevirostris); 462. Gray-headed Thicket Rat (Grammomys caniceps); 463. Mount Kenya Thicket Rat (Grammomys gigas); 464. East African Thicket Rat (Grammomys ibeanus); 465. Macmillan's Thicket Rat (Grammomys macmillani); 466. Selous's Thicket Rat (Grammomys selousi); 467.

opennotspecifiedNov 2017View details →
zenodo32/100

Other common names: East African Grammomys, Rwenzori Grammomys, Rwenzori Thicket Rat Taxonomy. Thamnomys ibeanus Osgood, 1910, Molo, Kenya. Grammomys ibeanus was previously includ-ed in G. cometes, but molecular data show it to be closer to G. macmillani. Monotypic. Distribution. Occurs quite widely in E Africa associated with mountains of the Rift Valley system and the Eastern Arc, including S South Sudan, E Uganda, Kenya, Tanzania, Malawi, and Mozambique. in Muridae

Other common names: East African Grammomys, Rwenzori Grammomys, Rwenzori Thicket Rat Taxonomy. Thamnomys ibeanus Osgood, 1910, Molo, Kenya. Grammomys ibeanus was previously includ-ed in G. cometes, but molecular data show it to be closer to G. macmillani. Monotypic. Distribution. Occurs quite widely in E Africa associated with mountains of the Rift Valley system and the Eastern Arc, including S South Sudan, E Uganda, Kenya, Tanzania, Malawi, and Mozambique.

opennotspecifiedNov 2017View details →
zenodo32/100

Data and code for Rowan et al. "Long-term biotic homogenization in the East African Rift System over the last 6 Myr of hominin evolution"

<p>Data and code for Rowan et al. "Long-term biotic homogenization in the East African Rift System over the last 6 Myr of hominin evolution" published in <em>Nature Ecology and Evolution</em>.</p>

opencc-by-4.0May 2024View details →
dryad32/100

Data from: Morphological diversification of ampullariid gastropods (Nsungwe Formation, late Oligocene, Rukwa Rift Basin, Tanzania) is coincident with onset of East African rifting

Open the record for dataset details and reuse information.

publicDec 2018View details →
zenodo28/100

FIGURE 11 in New and little known species of the genus Orphnus MacLeay (Coleoptera: Scarabaeidae: Orphninae) from the East African Rift

FIGURE 11. Orphnus, map of known localities. •—O. planicollis; Δ—O. demeyeri.

opennotspecifiedSep 2013View details →
zenodo28/100

FIGURES 1, 2 in New and little known species of the genus Orphnus MacLeay (Coleoptera: Scarabaeidae: Orphninae) from the East African Rift

FIGURES 1, 2. Orphnus, habitus of male. Fig. 1—O. planicollis. Fig. 2—O. demeyeri, holotype.

opennotspecifiedSep 2013View details →
zenodo28/100

Distribution. Mountains of Albertine Rift and East African Rift, at elevations of up to 2600 m. in Muridae

Distribution. Mountains of Albertine Rift and East African Rift, at elevations of up to 2600 m.

opennotspecifiedNov 2017View details →
zenodo20/100

Distribution. From Lake Chad to E Sudan and possibly just into Ethiopia, SE to the borders of the East African Rift Valley, S to the Uasin Gishu Plateau in Kenya and to Ankole in Uganda. in Bovidae

Distribution. From Lake Chad to E Sudan and possibly just into Ethiopia, SE to the borders of the East African Rift Valley, S to the Uasin Gishu Plateau in Kenya and to Ankole in Uganda.

opennotspecifiedAug 2011View details →

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