Find research datasets worth reusing

opennotspecifiedJan 2018View details →

FIGURE 6 in Unrealized diversity in an urban rainforest: A new species of Lygosoma (Squamata: Scincidae) from western Sarawak, Malaysia (Borneo)

FIGURE 6. Diagram of head scales of holotype of Lygosoma samajaya sp. nov. M=Mental; R=Rostral; IL=Infralabial; SL=Supralabial; N=Nasal; SN=Supranasal; L=Loreal; PO=Preocular; FN=Frontonasal; PF=Prefrontal; SC=Supraciliary (numbered 1–7); SO=Supraocular; F=Frontal; FP=Frontoparietal; IP=Interparietal; P=Parietal.

opennotspecifiedJan 2018View details →

FIGURE 5 in Unrealized diversity in an urban rainforest: A new species of Lygosoma (Squamata: Scincidae) from western Sarawak, Malaysia (Borneo)

FIGURE 5. Close-up photographs of holotype (upper panels) and paratype (lower panels) showing quinquecarinate dorsal scales (left) and hind foot (right). Left foot displayed for holotype and right foot displayed for paratype.

opennotspecifiedJan 2018View details →

FIGURE 1 in Unrealized diversity in an urban rainforest: A new species of Lygosoma (Squamata: Scincidae) from western Sarawak, Malaysia (Borneo)

FIGURE 1. Phylogenetic position of Lygosoma samajaya sp. nov. within the genus Lygosoma. Topology of Bayesian analysis, with support shown by RAxML bootstrap replicates (left value) and Bayesian posterior probabilities (right value). Black circles denote nodes supported by greater than 70/.95. Species in the genus Lygosoma are in black; outgroup species are in gray.

opencc-zeroJan 2018View details →

Supplementary material 1 from: Ang Y, Rajaratnam G, Su KFY, Meier R (2017) Hidden in the urban parks of New York City: Themira lohmanus, a new species of Sepsidae described based on morphology, DNA sequences, mating behavior, and reproductive isolation (Sepsidae, Diptera). ZooKeys 698: 95-111. https://doi.org/10.3897/zookeys.698.13411

Aligned COI sequences for Themira putris, T. biloba, and Themira 'biloba-like' (i.e., T. lohmanus n. sp.) specimens : Data type: Fasta file

Urban Heat: Forward-Looking Climate Modelling for West-Africa : Togolese Cities

We produced actionable data on heat stress in cities to inform analysis and client dialogue on the part of World Bank teams. We applied an urban-scale climate modeling framework to generate datasets describing modeled heat stress exposure for present-day and future conditions under selected climate scenarios. The study focuses on five cities in Togo: Tsevie, Dapaong, Kara, Sokode and Atakpame. More details about the dataset:  <ul> <li>The dataset includes calculations for each indicator across three scenarios (present, SSP2-4.5, SSP3-7.0) and three twenty-year periods (2001-2020, 2031-2050, and 2051-2070). The present period refers to 2001-2020, while the other two periods correspond to the two SSP scenarios.</li> <li>All indicators are available in both NetCDF and GeoTiff formats.</li> <li>The indicators are calculated at a resolution of 100 m, consistent with the UrbClim and WBGT simulations. Additionally, downscaled versions of the indicators are provided at a resolution of 30 m.</li> <li>The UrbClim and WBGT simulations, as well as the postprocessing, are conducted using the regional projection EPSG 32631. The NetCDF and GeoTiff data also adopt this projection. Furthermore, a GeoTiff data file with EPSG 4326 projection is included.</li> <li>All indicators are calculated as yearly averages. </li> <li>Images for quick viewing in png format visualizing the results for each indicator. </li> <li>The indicators in NetCDF and GeoTiff format as well as the visualized PNG files can be found in the {city}_indicators.zip.</li> <li>Three representative locations within the study domain have been selected to retrieve the WBGT profile on a chosen date (a hot day in 2020). The results are stored in WBGT_data.xlsx and visualized as WBGT_{date}.png. The shapefile is named as selected_locations.shp. These data together with the visualization of the land use map is compressed in {city}_landuse_wbgt.zip. </li> <li>More information about the dataset, including the methodology, all available data list, contact information, etc. can be found in the Technical_Annex_Togo.docx</li> </ul>

Dataset for "Additive water uptake of the mixtures of urban atmospheric HULIS and ammonium sulfate, J. Geophys. Res. Atmos."

The hygroscopicity of humic-like substances (HULIS) and their mixtures with ammonium sulfate in various proportions were investigated. The dataset in the Excel sheet contains measured hygroscopic growth factors and parameters derived from them, results of sensitivity analysis considering surfactants, and estimated proportions of multiply charged particles for Zhou et al. in Journal of Geophysical Research: Atmospheres. The dataset is based on the work supported by JSPS KAKENHI JP19H04253, JP20F20397, and JP23H00515. Ruichen Zhou, Sonia Afsana, Chenran Wei, and Michihiro Mochida: Additive water uptake of the mixtures of urban atmospheric HULIS and ammonium sulfate, J. Geophys. Res. Atmos.

Urban greenness and hedonic dataset in Busan, South Korea

This dataset is aggregated to investigate the association between green amenities and property prices in a metropolitan city. The provided data file contains a total of 52,644 observations with 27 variables, retrieved from the Korea Transport Database, Statistics Korea, Ministry of Land, Infrastructure and Transport, and the Spatial Information Portal. Specifically, the green index is quantified using a large amount of Google street view images, obtained from the download tool (https://svd360.istreetview.com). In this procedure, we carry out a three-step process and then employ the spatial interpolation method to alleviate the nonuniform distribution of source images. We encourage the reusability of our dataset and approaches used in this work by providing supplementary information including code files, which is available at Github (https://github.com/Quantitative-Finance-Lab/Green-Index).

openMay 2024View details →

CoolWalks: Assessing the potential of shaded routing for active mobility in urban street networks - Dataset

This contains the raw and processed data for the paper "CoolWalks: Assessing the potential of shaded routing for active mobility in urban street networks" by H. Wolf, M. Szell and A. R. Vierø.

Biogeochemical data from two clear-water and two turbid-water urban ponds in Brussels (Belgium) from June 2021 to December 2023

The dataset comprises three files, each containing geo-referenced information with corresponding timestamps. The names of the four ponds are written in French according to the official name defined by Brussels Environment (BE) (i.e. Leybeek, Pêcheries, Tenreuken and Silex). ·        DATA_Dissolved contains water temperature (°C), Chlorophyll-a concentration (µg L-1), oxygen saturation (%O2, in %), total suspended matter concentration (TSM, in mg L-1), inorganic nutrients (nitrate : NO3-, nitrite : NO2-, ammonium : NH4+, soluble reactive phosphorus : SRP, in µmol L-1), partial pressure of CO2 (pCO2, in ppm) , dissolved CH4 concentration (CH4, in nmol L-1), N2O saturation level (%N2O, in %) and 13C/12C ratio of CH4 (δ13C-CH4, in &permil;) collected from June 2021 to December 2023 in four ponds in Brussels. ·        DATA_Ebullitive contains wind speed (m s-1), water temperature (°C), atmospheric pressure (atm), bubbles flux measured with inverted funnels (mL m-2 d-1), CH4 content in bubbles (%CH4, in %) and 13C/12C ratio of CH4 (δ13C-CH4, in &permil;) of CH4 in the bubbles measured with three bubble traps in spring, summer, and fall in 2022 and 2023, totaling 8 days in the Leybeek, Pêcheries, and Tenreuken ponds and 24 days in the Silex pond. ·        DATA_perturbed_sediments contains 13C/12C ratio of CH4 (δ13C-CH4, in &permil;) of CH4 in the bubbles present in the sediment directly sampled with bubble traps by physically perturbing the sediment with a wooden rod the fourth September 2023 in the four ponds. Field sampling and meteorological data Sampling was done from a pontoon, with 60mL polypropylene syringes for gases (CO2, CH4, N2O) and a 2L polyethylene water container for processing at the home laboratory for other variables. Water temperature and %O2 were measured in-situ with VWR MU 6100H probe. pCO2 was measured with a Li-Cor Li-840 infrared gas analyser (IRGA) based on the headspace technique with 4 polypropylene syringes (Borges et al., 2019). The Li-Cor 840 IRGA was calibrated before and after each cruise with ultrapure N2 and a suite of gas standards (Air Liquide Belgium) with CO2 mixing ratios of 388, 813, 3788 and 8300 ppm. The overall precision of pCO2 measurements was ±2.0%. Samples for CH4 and N2O were transferred from the syringes with a silicone tube in 60 mL borosilicate serum bottles (Weathon), poisoned with 200 µl of a saturated solution of HgCl2 and sealed with a butyl stopper and crimped with aluminium cap, without a headspace. Three bubble traps were deployed at 50 cm apart for measuring ebullitive CH4 flux. The bubble traps consistent in inverted polypropylene funnels (diameter 23.5cm) mounted with 60mL polypropylene syringes and attached with steel rods to a polystyrene float. The volume of gas collected in the funnels was measured every 24 hours with 60mL syringes. The collected gas was stored in pre-evacuated 12 mL vials (Exetainers, Labco, UK) for the analysis of CH4 concentration and δ13C-CH4. Wind speed and atmospheric pressure, were retrieved from <a href="https://wow.meteo.be/en" target="_new">https://wow.meteo.be/en</a> for the meteorological station of the Royal Meteorological Institute of St-Lambert (50.8408°N, 4.4234°E) in Brussels, located between 2.5 and 5 kilometers from the surveyed ponds. CH4 and N2O measurements by gas chromatography and δ13C-CH4 by cavity ring-down spectrometry Measurements of N2O and CH4 concentrations dissolved in water and in the gas samples from bubbles were made with the headspace technique (20mL of ultra-pure N2, Air Liquid Belgium, Weiss, 1981) and a gas chromatograph (GC) (SRI 8610C) with a flame ionisation detector for CH4 (with a methanizer for CO2) and electron capture detector for N2O calibrated with CO2:CH4:N2O:N2 gas mixtures (Air Liquide Belgium) with mixing ratios of 1, 10 and 30 ppm for CH4, 404, 1018, 3961 ppm for CO2, and 0.2, 2.0 and 6.0 ppm for N2O. The precision of measurement based on duplicate samples was ±3.9% for CH4 and ±3.2% for N2O. The δ13C-CH4 was measured in gas of the headspace (20mL of synthetic air, Air Liquid Belgium) equilibrated with the water sample (total volume 60mL) for water samples and directly on gas stored in Exetainers for gas samples from the bubble traps. The gas samples were diluted to obtain a final partial pressure of CH4 in the cavity below 10 ppm to fall within the recommended operational concentration range of the instrument, prior to injection into a cavity ring-down spectrometer (G2201-I, Isotopic Analyzer, Picarro) with a Small Sample Introduction Module 2 (SSIM, Picarro). Data were corrected with curves of δ13C-CH4 as a function of concentration based on two gas standards from Airgas Specialty Gases with certified δ13C-CH4 values of -23.9±0.3 &permil; and -69.0±0.3 &permil;. Chlorophyll-a, total suspended matter, and dissolved inorganic nutrients Water was filtered through Whatman GF/F glass microfiber filters (porosity 0.7 µm) with a diameter of 47 mm for total suspended matter (TSM) and Chlorophyll-a (Chl-a). Filters for TSM were dried in the oven at 50C° and filters for Chl-a were kept frozen (-20°C). The weight of each filter was determined before and after filtration of a known volume of water using an Explorer™ Pro EP214C analytical microbalance (accuracy: ±0.1mg) for determination of TSM. Filtered water was stored in 50 mL plastic bottles and frozen (-20°C) for analysis of dissolved nutrients. Chl-a was measured on extracts with 90% acetone by fluorimetry (Kontron model SFM 25) (Yentsch and Menzel, 1963) with a limit of detection of 0.01 µg L-1. Ammonium (NH4+) was determined by the nitroprusside-hypochlorite-phenol staining method (Grasshoff and Johannsen, 1972), with a limit of detection of 0.05 µmol L-1. Nitrite (NO2-) and nitrate (NO3-) were determined before and after reduction of NO3- to NO2- by a cadmium-copper column, using the Griess acid reagent staining method (Grasshoff and Kremling, 2009), with a detection limit of 0.01 and 0.1 µmol L-1, respectively. Soluble reactive phosphorus (SRP) was determined by the ammonium molybdate, ascorbic acid and potassium antimony tartrate staining method (Koroleff, 1983), with a limit of detection of 0.1 µmol L-1. Concentration of dissolved inorganic nitrogen (DIN) was calculated as the sum NH4+, NO2- and NO3- concentrations.   Borges, A.V., Darchambeau, F., Lambert, T., Morana, C., Allen, G.H., Tambwe, E., and Bouillon, S.: Variations in dissolved greenhouse gases (CO2, CH4, N2O) in the Congo River network overwhelmingly driven by fluvial-wetland connectivity. Biogeosciences 16 (19), 3801–3834. <a href="https://doi.org/10.5194/bg-16-3801-2019">https://doi.org/10.5194/bg-16-3801-2019</a>, 2019. Grasshoff, K., and Johannsen, H.: A new sensitive and direct method for the automatic determination of ammonia in sea water. ICES J. Mar. Sci. 34 (3), 516–521. <a href="https://doi.org/10.1093/icesjms/34.3.516">https://doi.org/10.1093/icesjms/34.3.516</a>, 1972. Grasshoff, K., Kremling, K., and Ehrhardt, M.: Methods of Seawater Analysis: Determination of Nitrite. John Wiley & Sons, 2009. Koroleff, J.: Determination of total phosphorus by alkaline persulphate oxidation. Methods of Seawater Analysis. Verlag Chemie, Wienheim, pp. 136–138, 1983. Weiss, R. F.: 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. <a href="https://doi.org/10.1093/chromsci/19.12.611">https://doi.org/10.1093/chromsci/19.12.611</a>, 1981. Yentsch, C.S., and Menzel, D.W.: A method for the determination of phytoplankton chlorophyll and phaeophytin by fluorescence. In: Deep Sea Research and Oceanographic Abstracts, 10. Elsevier, pp. 221–231. <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/0011-7471(63)90358-9" target="_blank" rel="noopener">https://doi.org/10.1016/0011-7471(63)90358-9</a>, 1963.

Data from: A country-wide examination of effects of urbanization on common birds

Open the record for dataset details and reuse information.

Urban Heat: Forward-Looking Climate Modelling for West-Africa: Guinea cities

We produced actionable data on heat stress in cities to inform analysis and client dialogue on the part of World Bank teams. We applied an urban-scale climate modeling framework to generate datasets describing modeled heat stress exposure for present-day and future conditions under selected climate scenarios. The study focuses on two cities in Guinea: Conakry and Kankan. More details about the dataset:  <ul> <li>The dataset includes calculations for each indicator across three scenarios (present, SSP2-4.5, SSP3-7.0) and three twenty-year periods (2001-2020, 2031-2050, and 2051-2070). The present period refers to 2001-2020, while the other two periods correspond to the two SSP scenarios.</li> <li>All indicators are available in both NetCDF and GeoTiff formats.</li> <li>The indicators are calculated at a resolution of 100 m (Kankan) and 200 m (Conakry), consistent with the UrbClim and WBGT simulations. Additionally, downscaled versions of the indicators are provided at a resolution of 30 m.</li> <li>The UrbClim and WBGT simulations, as well as the postprocessing, are conducted using the regional projection EPSG 32629 (Kankan) and EPSG 32628 (Conakry). The NetCDF and GeoTiff data also adopt this projection. Furthermore, a GeoTiff data file with EPSG 4326 projection is included.</li> <li>All indicators are calculated as yearly averages. </li> <li>Images for quick viewing in png format visualizing the results for each indicator. </li> <li>The indicators in NetCDF and GeoTiff format as well as the visualized PNG files can be found in the {city}_indicators.zip.</li> <li>Three representative locations within the study domain have been selected to retrieve the WBGT profile on a chosen date (a hot day in 2020). The results are stored in WBGT_data.xlsx and visualized as WBGT_{date}.png. The shapefile is named as selected_locations.shp. These data together with the visualization of the land use map is compressed in {city}_landuse_wbgt.zip. </li> <li>More information about the dataset, including the methodology, all available data list, contact information, etc. can be found in the Technical_description_Guinea.docx</li> </ul>

Urban Heat: Forward-Looking Climate Modelling for West-Africa : Corridor Abidjan-Lagos

We produced actionable data on heat stress in cities to inform analysis and client dialogue on the part of World Bank teams. We applied an urban-scale climate modeling framework to generate datasets describing modeled heat stress exposure for present-day and future conditions under selected climate scenarios. The study focuses on five cities at Corridor Abidjan-Lagos: Abidjan, Cotonou, Lome, Accra and Lagos. More details about the dataset:  <ul> <li>The dataset includes calculations for each indicator for the reference period (present: 2001 to 2020). For city Lome two more future scenarios (SSP2-4.5, SSP3-7.0) and with two twenty-year periods (2031-2050, and 2051-2070) were applied.</li> <li>All indicators are available in both NetCDF and GeoTiff formats.</li> <li>The indicators are calculated at a resolution of 100 m to 200 m (depending on the size of the city), consistent with the UrbClim and WBGT simulations. Additionally, downscaled versions of the indicators are provided at a resolution of 30 m.</li> <li>The UrbClim and WBGT simulations, as well as the postprocessing, are conducted using the regional projection. The NetCDF and GeoTiff data also adopt this projection. Furthermore, a GeoTiff data file with EPSG 4326 projection is included.</li> <li>All indicators are calculated as yearly averages. </li> <li>Images for quick viewing in png format visualizing the results for each indicator. </li> <li>The indicators in NetCDF and GeoTiff format as well as the visualized PNG files can be found in the {city}_present_indicators.zip or {city}_indicators.zip (for Lome).</li> <li>Three representative locations within the study domain have been selected to retrieve the WBGT profile on a chosen date (a hot day in 2020). The results are stored in WBGT_data.xlsx and visualized as WBGT_{date}.png. The shapefile is named as selected_locations.shp. These data together with the visualization of the land use map is compressed in {city}_landuse_wbgt.zip. </li> <li>More information about the dataset, including the methodology, all available data list, contact information, etc. can be found in the Technical_description_corridor.docx</li> </ul>

opencc-zeroDec 2023View details →

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Data for: Sun, Ogushi, Tseng -Lepidoptera species richness and community composition in urban street trees

The triple threats of climate change, habitat loss, and environmental pollution have stimulated discussion on how urban areas can be modified to both mitigate heat increases and provide habitat for wildlife such as insects. The strategy of using trees to reduce temperatures has been adopted by numerous cities. However, the majority of street trees planted around the world are non-native. Studies conducted in non-urban areas have demonstrated in comparison to native plants, non-native plants are less likely to support native insect diversity. Here we use a database approach to quantify the number of native Lepidoptera species associated with 76 of the most common street tree species planted in Vancouver, Canada. We tested the prediction that compared to non-native trees, native street trees will support a higher diversity and unique community of native Lepidoptera. As predicted, native street trees were associated with five times as many native Lepidoptera species, and the Lepidoptera communities supported by native vs. non-native street trees were distinct. There was no difference in native Lepidoptera associations between broadleaf vs. coniferous street trees. These results are consistent with studies that have used active sampling techniques to investigate insect richness on a smaller subset of native and non-native tree species. Collectively, these data provide good evidence that the planting native instead of non-native trees will help stem the loss of insect diversity in urban areas.

Urban background sound recordings for virtual acoustics under various weather conditions at IHTApark

This is an open database of calibrated background sound recordings with metadata on meteorological and acoustical parameters ready to be used in virtual reality applications, for soundsacpe studies. The soundscapes have been recorded at the IHTApark (green space next to the Institute for Hearing Technology and Acoustics) in Aachen (Germany) in winter and spring of 2022. They have been segemented into 30-seconds auralizable snippets. For an <a href="https://paad-group.github.io/IHTApark-ambient-recordings/" target="_blank" rel="noopener">interactive exploration</a> of the soundscapes, please visit the follwing website: <a href="https://paad-group.github.io/IHTApark-ambient-recordings/" target="_blank" rel="noopener"></a> <a href="https://paad-group.github.io/IHTApark-ambient-recordings/" target="_blank" rel="noopener">https://paad-group.github.io/IHTApark-ambient-recordings/</a> The dabase is available as binaural files, first-order ambisonics files, and as omni files. The metadata is included as a .xlsx file.

Urban Heat: Forward-Looking Climate Modelling for West-Africa: extra indicator

We produced actionable data on heat stress in cities to inform analysis and client dialogue on the part of World Bank teams. We applied an urban-scale climate modeling framework to generate datasets describing modeled heat stress exposure for present-day and future conditions under selected climate scenarios. This dataset serves as a supplement to the previous two datasets: https://zenodo.org/doi/10.5281/zenodo.11085333 and https://zenodo.org/doi/10.5281/zenodo.11073297. It contains an extra indicator Heat Index (HI) based on the apparent temperature (AT) for 12 cities in west Africa.   More details about the dataset:  <ul> <li>The dataset includes calculations for HI across three scenarios (present, SSP2-4.5, SSP3-7.0) and three twenty-year periods (2001-2020, 2031-2050, and 2051-2070). The present period refers to 2001-2020, while the other two periods correspond to the two SSP scenarios.</li> <li>The indicator is available in both NetCDF and GeoTiff formats. It is named as HIAT in the file name with extra information such as scenario, resolution, projection, etc. </li> <li>The indicator is calculated at a resolution from 100 m to 200 m (depending on the size of the city). Additionally, downscaled versions of the indicator is provided at a resolution of 30 m.</li> <li>The Heat Index is calculated as the yearly average number of days when apparent temperature reaches 105 F. More information regarding the definition and calculation of HI can be found: Rohat, G., Flacke, J., Dosio, A., Dao, H., & Van Maarseveen, M. (2019). Projections of human exposure to dangerous heat in African cities under multiple socioeconomic and climate scenarios. Earth's Future, 7(5), 528-546.</li> <li>Images for quick viewing in png format are available. </li> <li>The indicators in NetCDF and GeoTiff format as well as the visualized PNG files can be found in the {city}_HIAT.zip (for the cities with future projection) or {city}_present_HIAT.zip (for those cities without future projection).</li> <li>More information about other indicators, including the simulation, methodology, all available data list, contact information, etc. can be found in the other two datasets.</li> </ul>

openother-ncMay 2024View details →

TAU Urban Acoustic Scenes 2024 Mobile, Evaluation dataset

TAU Urban Acoustic Scenes 2024 Mobile evaluation dataset consists of 1-seconds audio segments from 10 acoustic scenes: <ul> <li>Airport - airport</li> <li>Indoor shopping mall - shopping_mall</li> <li>Metro station - metro_station</li> <li>Pedestrian street - street_pedestrian</li> <li>Public square - public_square</li> <li>Street with medium level of traffic - street_traffic</li> <li>Traveling by a tram - tram</li> <li>Traveling by a bus - bus</li> <li>Traveling by an underground metro - metro</li> <li>Urban park - park</li> </ul>

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Data from: Impacts of organic matter amendments on urban soil carbon and soil quality: A meta-analysis

Organic matter amendment application is an important avenue of beneficial waste diversion and is used to improve soil quality in agricultural and urban settings. In urban regions, amendments are used to support local food production, maintain vegetation for landscaping and recreational use, and reclaim disturbed soils. Urban regions generate large quantities of wasted organic resources for potential application aiding in creating a circular nutrient economy. There is a growing interest in understanding the effects of amendments such as compost, biosolids, and biochar on soil properties in agricultural settings. Gaps remain, however, in assessing their effects in urban land uses. We conducted a literature review to assess the effects of compost, biochar, and biosolids on soil carbon and soil quality of urban soils managed for gardening, landscaping, recreation, and reclamation. Application of organic matter amendments led to an average increase of 3.6 units of soil organic matter% (SOM%). Compost and biochar improved SOM% the most, by 3.1 and 6.5 units of SOM%, respectively. Biosolids resulted in the smallest increase in SOM% but had greater nutrient benefits than other amendments. Parameters related to chemical and physical soil quality improved with the application of amendments. Gaps in the literature remain, such as assessing urban gardens, soil to depths greater than 30 cm, and the persistence of SOM in amended soils. This meta-analysis proposes that organic matter amendments are a powerful means to improve soil quality in urban regions, provide vital cobenefits to surrounding communities, and increase soil carbon storage.

opencc-zeroJun 2024View details →

opencc-by-4.0Jun 2024View details →

Urban Density Index of Kigali (Rwanda)

Open the record for dataset details and reuse information.

opennotspecifiedMay 2024View details →

FIGURES 6–9 in A new species of Malacophagomyia (Malacophagomyia) Lopes, 1966 (Diptera: Sarcophagidae) collected from an urban zone of Southern Colombia

FIGURES 6–9. Malacophagomyia (M.) gaelana Córdoba-Suarez, Ramos-Pastrana & Mulieri, sp. nov. Holotype male. 6, Sternites 4 and 5; 7, Cercus dorsal view (the red arrow indicates apical lateral projections); 8, Terminalia lateral view; 9, Terminal details, lateral view. Abbreviations: cerc, cercus; hi, hillae; j, juxta; ls, lateral stylus; ple, paraphalllic lateral expansion; ms, median stylus; pg, pregonite; pgt, postgonite; pp, paraphallus; sr, surstylus.