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7,883 results for “Tropic”
Figure 6 in Description of a new alpheid shrimp from the tropical western Atlantic (Decapoda: Caridea: Alpheus)
Figure 6. Alpheus rostratus Kim & Abele, 1988: male (cl 6.15 mm) from Contadora, Las Perlas Islands, Panama, MZUSP 45952, in dorsal view (A); male (cl indet.) from Coiba Island, Panama, not deposited (entire specimen used for analysis of associated microbiota), in dorsolateral view (B). Photographs by P.P.G. Pachelle (A) and by the author (B).
Figure 2 in Description of a new alpheid shrimp from the tropical western Atlantic (Decapoda: Caridea: Alpheus)
Figure 2. Alpheus schubarti sp. nov.: holotype male (cl 4.45 mm) from Maceió, Alagoas, Brazil, MZUSP 45945; (A) major (left) cheliped, ischium, merus and carpus, mesial; (B) same, chela and carpus, mesial; (C) same, chela and carpus, lateral; (D) same, dactylus, lateral; (E) minor (right) cheliped, ischium, merus and carpus, mesial; (F) same, chela and carpus, mesial; (G) same, chela and carpus, lateral.
Figure 5 in Description of a new alpheid shrimp from the tropical western Atlantic (Decapoda: Caridea: Alpheus)
Figure 5. Alpheus schubarti sp. nov.: paratype ovigerous female (cl 4.95 mm) from Maceió, Alagoas, Brazil, MZUSP 45947, in dorsal (A) and lateral (B) views. Photographs by the author.
Fig. 1 in Total mercury in the fish Trichiurus lepturus from a tropical estuary in relation to length, weight, and season
Fig. 1. Location and details of the study area, Goiana Estuary at the Brazilian Northeast.
Data for Tropical Cyclones flood hazards and impacts in Beira for study "Exploring coastal climate adaptation through storylines: Insights from Cyclone Idai in Beira, Mozambique"
<p>Data for Tropical Cyclones flood hazards and impacts in Beira for study "Exploring coastal climate adaptation through storylines: Insights from Cyclone Idai in Beira, Mozambique"<br><br><span><a href="../api/records/12664900/draft/files/hmax_idai_ifs_rebuild_bc_hist_rain_surge_noadapt.tiff/content" target="_blank" rel="noopener noreferrer">hmax_idai_ifs_rebuild*</a> -> Flood maps<br><a href="../api/records/12664900/draft/files/spatial_idai_ifs_rebuild_bc_3c-hightide_rain_surge_retreat.gpkg/content" target="_blank" rel="noopener noreferrer">spatial_idai_ifs_rebuild*</a> -> Impacts<br></span></p>
Microhabitat selection of the big-headed turtle Platysternon megacephalum in the Hainan Tropical Rainforest National Park, China
<p>Understanding species habitat requirements is vital for ensuring the success of targeted conservation and habitat restoration measures. The big-headed turtle (<em>Platysternon megacephalum</em>)<em> </em>is a freshwater species which is distributed across Southeast Asia. Due to the human threats posed by illegal pet trade and overharvesting for food and medicinal purposes, the species has undergone rapid decline. Furthermore, limited research has been conducted on this species, particularly regarding habitat preferences on Hainan Island, China. Therefore, this study examined the microhabitat selection of <em>P. megacephalum</em> using cage and sample plot methods in the Diaoluo Mountain area of the Hainan Tropical Rainforest National Park. Our results indicated that big-headed turtles select stream microhabitats at higher altitudes, in proximity to rocky substrates, several caves, and high diversity of food sources. Microhabitat utilization did not differ significantly between adults and juveniles. This suggests that protecting microhabitats and main food sources is important for the conservation of <em>P. megacephalum</em>. Our findings provide a reference for the protection of this species in Jianfeng, Yingge Ridge, and other areas in the Hainan Tropical Rainforest National Park.</p>
Soil C saturation in tropical agricultural systems: soil fertility, climate, texture and N controls on SOM fractions
<p><span>Nature-based solutions for C sequestration in tropical croplands are paramount strategies in a changing climate. Soybean-maize-forage intercropped systems associated with soil acidity alleviation and nitrogen (N) fertilization effectively accumulate carbon (C) in weathered soils. However, the soil saturation status and the controls of C stabilization up to 40 cm soil depth into particulate (POM) and mineral-associated organic matter (MAOM) fractions are poorly understood in tropical croplands. This study tested the hypothesis of C saturation in the MAOM fraction by comparing field and published data focused on Brazilian tropical soils. We assessed the N fertilization effect on C stabilization in POM and MAOM pools, and climate, soil texture, and chemical attributes controls on POM and MAOM formation in tropical croplands using a machine-learning Random Forest (RF) modeling approach. Our findings do not support C saturation in the MAOM regardless of contrasting soil contents of silt plus clay and depths. C in the MAOM and POM fractions were not affected by N fertilizer. However, legume inclusion in the system resulted in higher total soil C and lower soil C:N ratio compared with N fertilization, which indicates that C dynamics differ whether synthetic or organic-N forms are applied to tropical croplands. Our RF model showed robust predictive performance for the MAOM but poorer for the POM fraction. Total organic carbon (TOC), total N, silt plus clay, phosphorus (P) and soil depth, zinc (Zn), cation exchange capacity, and TOC covariates were the most important variables for predicting MAOM and POM fractions, respectively. Our findings show, besides the well-known effect of calcium, that other nutrients such as P, Zn, manganese and copper play a key role in either MAOM or POM formation. Our work provides key insights on C saturation status in tropical croplands and land-management C sequestering potential, and N, climate, soil chemical attributes and texture controls on C distribution into MAOM and POM fractions up to 40 cm soil depth in tropical conservation agricultural systems. We advocate for upscaling C saturation concept nationally and further research investigating the role of climate and micronutrients contribution on MAOM and POM formation in broad scenarios and N fertilizer responsiveness for C stabilization in tropical croplands.</span></p>
Figure 3 in Breeding and reproductive behaviour of the neo-tropical opossum, Didelphis marsupialis insularis, Allen 1902 under captive conditions
Figure 3. Photo of opossum breeding unit showing view from top of enclosure.
Abundance of butterflies according to elevation, season and habitat in tropical mountain of Costa Rica
<p>The dataset is about a study of the diversity of butterflies in an elevational gradient in Costa Rica during two seasons and in two different habitats.</p>
Data from: Connections between the Southern Ocean and the Eastern tropical Pacific in unforced and forced climate model simulations
<p>The sea surface temperature (SST) over the eastern tropical Pacific significantly influences global-mean climate feedback and may be driven in part by the SST over the Southern Ocean. Previous studies demonstrated a teleconnection from the Southern Ocean to the eastern tropical Pacific by perturbing the Southern Ocean climate. We investigate if this teleconnection holds in a fully coupled, freely running climate system using CMIP6 models. We assess the relationship between the Southern Ocean (SO) and the eastern tropical Pacific (SEP) by calculating correlations between SO and SEP SST timeseries within each model and regressions between mean SO and SEP SSTs across models. We show robust, positive SO-SEP relationships in an unforced climate using pre-industrial SSTs, in a forced climate using SST anomalies between pre-industrial and quadrupled CO<sub>2</sub> simulations, and in the SST pattern of the forced response relative to the global-mean SST anomaly. The strength of SO-SEP correlations is positively related to the stratocumulus cloud feedback off the west coast of South America, and negatively related to ocean heat uptake in the same region. As both shortwave cloud feedback and ocean heat uptake are underestimated in climate models, understanding their effects on SO-SEP teleconnections and their interactions is crucial for determining the strength of SO-SEP teleconnection in the real world and its trustworthiness in climate model projection.</p>
Supporting data for: Ozone Formation Sensitivity to Precursors and Lightning in the Tropical Troposphere Based on Airborne Observations
<p>We provide here the supporting data for our study on ozone formation sensitivity in the upper tropical troposphere based on in situ observations. </p>
Finkler et al. Short-term Effects of Wildfire on Ecosystem Functioning in a Tropical Headwater Stream.
<p>Dataset used for the manuscript "Short-term Effects of Wildfire on Ecosystem Functioning in a Tropical Headwater Stream" by Finkler et al.</p>
Large trees in tropical dry forest facilitate the presence of stingless bee nests (Apidae: Meliponini): the case of Ficus crocata
<p>[ESP]</p> <p>Este repositorio contiene archivos .csv y .r, de los datos se utilizaron para el análisis estadístico del artículo de Manzanarez-Villasana, Briseño-Sánchez, Lobo y Quesada </p> <p>[ENG]</p> <p>This repository contains .csv and .r files of the data used for the statistical analysis of the article by Manzanarez-Villasana, Briseño-Sánchez, Lobo y Quesada </p>
Response of a fringing reef coastline to the direct impact of a tropical cyclone
<p>The data contains observations from the impact of Tropical Cyclone Olwyn to northwest Western Australia in March 2015. A cross-shore array of 5 pressure sensors were deployed to measure wave heights and water levels at Point Jurabi (~5 km north of Tantabiddi), Ningaloo Reef; beach morphology was measured pre- and post-cyclone using RTK-DGPS; and a two-way coupled model was developed using Delft3D and SWAN. </p> <p> </p> <p>The data sets contains the raw pressure sensor measurements (.rsk), beach morphology grids (.txt), and model input/output files. Please see the 'Cuttler_etal_2017_Metadata.pdf', 'ReadMe.txt' file or contact michael.cuttler@uwa.edu.au for further information</p>
Data from: Spatial variation of soil CO2, CH4 and N2O fluxes across topographical positions in tropical forests of the Guiana Shield in Ecosystems
<p>Data from: Spatial variation of soil CO2, CH4 and N2O fluxes across topographical positions in tropical forests of the Guiana Shield in Ecosystems</p>
Ant and termite assemblages along a tropical forest disturbance gradient in Sabah, Malaysia: A study of co-variation and trophic interactions
<b>Description: </b><p>Termite community composition from soil pits and deadwood</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/103"><b>Ant and termite assemblages along a tropical forest disturbance gradient in Sabah, Malaysia: A study of co-variation and trophic interactions</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=38">here</a></p><p><b>Data worksheets: </b>There are 3 data worksheets in this dataset:</p><ol><li><p><b>Functional traits</b> (Worksheet Function)</p><p>Dimensions: 36 rows by 3 columns</p><p>Description: Functional traits associated with each genus</p><p>Fields: </p><ul><li><b>Genus</b>: Genus ID (Field type: Taxa)</li><li><b>Functional.group</b>: Humification gradient (Field type: Categorical Trait)</li></ul><br></li><li><p><b>Soil pit data</b> (Worksheet SoilPits)</p><p>Dimensions: 954 rows by 35 columns</p><p>Description: Termite community composition from soil pits</p><p>Fields: </p><ul><li><b>2nd.order.point</b>: SAFE Project sample site (Field type: Location)</li><li><b>Quadrat.number.(in.my.study)</b>: Quadrat number (Field type: ID)</li><li><b>Date</b>: Date of sample collection (Field type: Date)</li><li><b>Pit.number</b>: Pit number within the plot (Field type: Replicate)</li><li><b>Time</b>: Time samples were collected (Field type: Time)</li><li><b>No..of.termites</b>: Number adult termites (Field type: Abundance)</li><li><b>No.juvenile.termites</b>: Number juvenile termites (Field type: Abundance)</li><li><b>Unknown</b>: Number of damaged individuals or individuals that can't definitively be assigned to genera (Field type: Abundance)</li><li><b>Dicuspiditermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Schedorhinotermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Prohamitermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Malaysiotermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Mirocapritermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Hypotermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Procapritermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Homatermes.undescribed.genus</b>: Number of individuals (Field type: Abundance)</li><li><b>Termes</b>: Number of individuals (Field type: Abundance)</li><li><b>Syncapritermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Pericapritermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Microcerotermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Macrotermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Globitermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Lacessititermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Pseudocapritermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Homallotermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Oriencapritermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Oriensublitermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Labritermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Euramitermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Rhinotermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Nasutitermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Bulbitermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Odontotermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Heterotermes</b>: Number of individuals (Field type: Abundance)</li></ul><br></li><li><p><b>Deadwood data</b> (Worksheet Deadwood)</p><p>Dimensions: 138 rows by 23 columns</p><p>Description: Termite community composition from deadwood</p><p>Fields: </p><ul><li><b>2nd.order.point</b>: SAFE Project sample site (Field type: Location)</li><li><b>Quadrat.number.(in.my.study)</b>: Quadrat number (Field type: ID)</li><li><b>Date</b>: Date of sample collection (Field type: Date)</li><li><b>Wood.sample</b>: Wood piece within Quadrat (Field type: Replicate)</li><li><b>Time</b>: Time samples were collected (Field type: Time)</li><li><b>No..of.termites</b>: Number adult termites (Field type: Abundance)</li><li><b>No.juvenile.termites</b>: Number juvenile termites (Field type: Abundance)</li><li><b>Unknown</b>: Number of damaged individuals or individuals that can't definitively be assigned to genera (Field type: Abundance)</li><li><b>Dicuspiditermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Schedorhinotermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Homallotermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Bulbitermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Macrotermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Globitermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Nasutitermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Heterotermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Syncapritermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Malaysiotermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Parrhinotermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Pericapritermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Rhinotermes</b>: Number of individuals (Field type: Abundance)</li><li><b>Aciculitermes</b>: Number of individuals (Field type: Abundance)</li></ul><br></li></ol><p><b>Date range: </b>2010-04-21 to 2010-05-25</p><p><b>Latitudinal extent: </b>4.6353 to 4.7520</p><p><b>Longitudinal extent: </b>116.9542 to 117.6288</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div>Animalia<br> - Arthropoda<br> -  - Insecta<br> -  -  - Isoptera<br> -  -  -  -  - <i>Aciculitermes</i><br> -  -  -  -  - [<i>Euramitermes</i>]<br> -  -  -  -  - <i>Homallotermes</i><br> -  -  -  -  - <i>Hypotermes</i><br> -  -  -  -  - <i>Mirocapritermes</i><br> -  -  -  -  - <i>Procapritermes</i><br> -  -  -  -  - <i>Prohamitermes</i><br> -  -  -  -  - <i>Pseudocapritermes</i><br> -  -  -  - Rhinotermitidae<br> -  -  -  -  - <i>Heterotermes</i><br> -  -  -  -  - <i>Parrhinotermes</i><br> -  -  -  -  - <i>Rhinotermes</i><br> -  -  -  -  - <i>Schedorhinotermes</i><br> -  -  -  - Termitidae<br> -  -  -  -  - <i>Bulbitermes</i><br> -  -  -  -  - <i>Dicuspiditermes</i><br> -  -  -  -  - <i>Globitermes</i><br> -  -  -  -  - <i>Labritermes</i><br> -  -  -  -  - [<i>Lacessititermes</i>]<br> -  -  -  -  - <i>Macrotermes</i><br> -  -  -  -  - <i>Malaysiotermes</i><br> -  -  -  -  - <i>Microcerotermes</i><br> -  -  -  -  - <i>Nasutitermes</i><br> -  -  -  -  - <i>Odontotermes</i><br> -  -  -  -  - <i>Oriencapritermes</i><br> -  -  -  -  - <i>Oriensubulitermes</i><br> -  -  -  -  - <i>Pericapritermes</i><br> -  -  -  -  - <i>Syncapritermes</i><br> -  -  -  -  - <i>Termes</i><br> -  -  -  -  - <i>Hodotermes</i><br> -  - [Homatermes.undescribed.genus]<br></div><p></p>
A preliminary study of the allochthonous inputs into tropical streams across a land use gradient in Sabah, Malaysia
<b>Description: </b><p>Leaf and invertebrate biomass in streams</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/174"><b>A preliminary study of the allochthonous inputs into tropical streams across a land use gradient in Sabah, Malaysia</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=19">here</a></p><p><b>Data worksheets: </b>There are 2 data worksheets in this dataset:</p><ol><li><p><b>Insects</b> (Worksheet Insects)</p><p>Dimensions: 23 rows by 11 columns</p><p>Description: Insect capture rates</p><p>Fields: </p><ul><li><b>Location</b>: SAFE project riparian site (Field type: Location)</li><li><b>Stream</b>: SAFE project stream (Field type: ID)</li><li><b>Repeat</b>: sample number for that stream (Field type: ID)</li><li><b>Total Mass of Insects (g)</b>: the total dried mass of insects collected for each of the repeats (Field type: Numeric)</li><li><b>Total Insects</b>: the total number of insects collected in each repeat (Field type: Abundance)</li><li><b>Hymenoptera</b>: the total number of hymenoptera in each repeat (Field type: Abundance)</li><li><b>Diptera</b>: the total number of diptera in each repeat (Field type: Abundance)</li><li><b>Coleoptera</b>: the total number of coleoptera in each repeat (Field type: Abundance)</li><li><b>Other.Insect</b>: the grouped total of Hemiptera, Thysanoptera, Orthoptera, Blattodea, Trichoptera, Mantodea, Ephemeroptera, Dermaptera for each repeat (Field type: Abundance)</li><li><b>Other</b>: the grouped total of Arachnida, Entognatha, Diplopoda, Chilopoda for each repeat (Field type: Abundance)</li></ul><br></li><li><p><b>Hydrology</b> (Worksheet Hydrology)</p><p>Dimensions: 60 rows by 17 columns</p><p>Description: River characteristics and litter quantities</p><p>Fields: </p><ul><li><b>Location</b>: SAFE project riparian site (Field type: Location)</li><li><b>Stream Code</b>: The stream from which the sample was taken (LFE, 15m, 30m, VJR or OP) (Field type: ID)</li><li><b>Transect No.</b>: The point of each sample within the 100m transect at each stream (Field type: ID)</li><li><b>Channel Width</b>: The bank full width of the channel at this point (Field type: Numeric)</li><li><b>Wetted Width</b>: The width of the runnin water at this point (Field type: Numeric)</li><li><b>SAFE Habitat Quality Right</b>: the SAFE Habitat quality on the right of the channel when looking upstream (Field type: Ordered Categorical)</li><li><b>SAFE Habitat Quality Centre</b>: the SAFE Habitat quality in the centre of the channel when looking upstream (Field type: Ordered Categorical)</li><li><b>SAFE Habitat Quality Left</b>: the SAFE Habitat quality on the left of the channel when looking upstream (Field type: Ordered Categorical)</li><li><b>Flow Rate Right (s)</b>: the time taken for a tennis ball to travel 10m in the water on the right of the channel when looking upstream (Field type: Numeric)</li><li><b>Flow Rate Centre (s)</b>: the time taken for a tennis ball to travel 10m in the water in the centre of the channel when looking upstream (Field type: Numeric)</li><li><b>Flow Rate Left (s)</b>: the time taken for a tennis ball to travel 10m in the water on the left of the channel when looking upstream (Field type: Numeric)</li><li><b>Average Flow Rate (s)</b>: an average of flow rate centre, flow rate left and flow rate right (Field type: Numeric)</li><li><b>Leaf Litter Retention (g)</b>: the dried mass of leaf litter retained across the wetted width of the stream at each point (Field type: Numeric)</li><li><b>Average Substrate Size</b>: the average size of the substrate across the channel width of the stream at each point (Field type: Numeric)</li><li><b>Leaf Litter Trap Position</b>: the position where the leaf litter trap was placed relative to the stream when looking upstream (left, right or centre) (Field type: Categorical)</li><li><b>Leaf Litter Mass</b>: the dried mass of leaf litter collected in the leaf litter trap at each point (Field type: Numeric)</li></ul><br></li></ol><p><b>Date range: </b>2017-02-06 to 2017-07-06</p><p><b>Latitudinal extent: </b>4.6314 to 4.7273</p><p><b>Longitudinal extent: </b>117.4556 to 117.6233</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div>Animalia<br> - Arthropoda<br> -  - Insecta<br> -  -  - Coleoptera<br> -  -  - Diptera<br> -  -  - Hymenoptera<br> -  - [Other.Insect]<br></div><p></p>
The role of competition in structuring ant community composition across a tropical forest disturbance gradient
<b>Description: </b><p>Leaf litter ant community composition and competition</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/34"><b>The role of competition in structuring ant community composition across a tropical forest disturbance gradient.</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=1">here</a></p><p><b>Data worksheets: </b>There are 3 data worksheets in this dataset:</p><ol><li><p><b>Ant community composition</b> (Worksheet Composition)</p><p>Dimensions: 430 rows by 69 columns</p><p>Description: Site x species matrix of ant community composition</p><p>Fields: </p><ul><li><b>Forest Type</b>: Shows the two forest types used in the study (Field type: Categorical)</li><li><b>Site</b>: Represents the site/day sampled. 10 Sampling sites were used in each forest type (Field type: Location)</li><li><b>Time</b>: Represents the time in the day points were sampled (Field type: Time)</li><li><b>Point</b>: Represents the column of 3 sampling points for each time of day (Field type: Replicate)</li><li><b>ID</b>: Represents individual sampling point. Order is: Site(Day)/Time/Type/Sampling point no. Logged ID's also have LF at the start (Field type: ID)</li><li><b>Method</b>: Method used to record community (Field type: Categorical)</li><li><b>Diacamma</b>: Number of individuals (Field type: Abundance)</li><li><b>Odontoponera</b>: Number of individuals (Field type: Abundance)</li><li><b>Pheidole</b>: Number of individuals (Field type: Abundance)</li><li><b>Leptogenys</b>: Number of individuals (Field type: Abundance)</li><li><b>Pheidologeton</b>: Number of individuals (Field type: Abundance)</li><li><b>Crematogaster</b>: Number of individuals (Field type: Abundance)</li><li><b>Odontomachus</b>: Number of individuals (Field type: Abundance)</li><li><b>Aphaenogaster</b>: Number of individuals (Field type: Abundance)</li><li><b>Acanthomyrmex</b>: Number of individuals (Field type: Abundance)</li><li><b>Nylanderia</b>: Number of individuals (Field type: Abundance)</li><li><b>Camponotus</b>: Number of individuals (Field type: Abundance)</li><li><b>Cardiocondyla</b>: Number of individuals (Field type: Abundance)</li><li><b>Anochetus</b>: Number of individuals (Field type: Abundance)</li><li><b>Technomyrmex</b>: Number of individuals (Field type: Abundance)</li><li><b>Monomorium</b>: Number of individuals (Field type: Abundance)</li><li><b>Recurvidris</b>: Number of individuals (Field type: Abundance)</li><li><b>Polyrhachis</b>: Number of individuals (Field type: Abundance)</li><li><b>Cladomyrma</b>: Number of individuals (Field type: Abundance)</li><li><b>Lophomyrmex</b>: Number of individuals (Field type: Abundance)</li><li><b>Harpegnathos</b>: Number of individuals (Field type: Abundance)</li><li><b>Carebara</b>: Number of individuals (Field type: Abundance)</li><li><b>Cataulacus</b>: Number of individuals (Field type: Abundance)</li><li><b>Pachycondyla</b>: Number of individuals (Field type: Abundance)</li><li><b>Lordomyrma</b>: Number of individuals (Field type: Abundance)</li><li><b>Myrmecina</b>: Number of individuals (Field type: Abundance)</li><li><b>Proatta</b>: Number of individuals (Field type: Abundance)</li><li><b>Euprenolepis</b>: Number of individuals (Field type: Abundance)</li><li><b>Rhytidoponera</b>: Number of individuals (Field type: Abundance)</li><li><b>Paratrechina</b>: Number of individuals (Field type: Abundance)</li><li><b>Paraparatrechina</b>: Number of individuals (Field type: Abundance)</li><li><b>Tetramorium</b>: Number of individuals (Field type: Abundance)</li><li><b>Paratopula</b>: Number of individuals (Field type: Abundance)</li><li><b>Strumigenys</b>: Number of individuals (Field type: Abundance)</li><li><b>Pyramica</b>: Number of individuals (Field type: Abundance)</li><li><b>Ponera</b>: Number of individuals (Field type: Abundance)</li><li><b>Hypoponera</b>: Number of individuals (Field type: Abundance)</li><li><b>Tetraponera</b>: Number of individuals (Field type: Abundance)</li><li><b>Emeryopone</b>: Number of individuals (Field type: Abundance)</li><li><b>Centromyrmex</b>: Number of individuals (Field type: Abundance)</li><li><b>Tapinoma</b>: Number of individuals (Field type: Abundance)</li><li><b>Myrmicaria</b>: Number of individuals (Field type: Abundance)</li><li><b>Rotrastruma</b>: Number of individuals (Field type: Abundance)</li><li><b>Prionopelta</b>: Number of individuals (Field type: Abundance)</li><li><b>Gnamptogenys</b>: Number of individuals (Field type: Abundance)</li><li><b>Eurhopalothrix</b>: Number of individuals (Field type: Abundance)</li><li><b>Myrmoteras</b>: Number of individuals (Field type: Abundance)</li><li><b>Oecophylla</b>: Number of individuals (Field type: Abundance)</li><li><b>Myopias</b>: Number of individuals (Field type: Abundance)</li><li><b>Pseudolasius</b>: Number of individuals (Field type: Abundance)</li><li><b>Plagiolepis</b>: Number of individuals (Field type: Abundance)</li><li><b>Dacetinops</b>: Number of individuals (Field type: Abundance)</li><li><b>Mystrium</b>: Number of individuals (Field type: Abundance)</li><li><b>Echinopla</b>: Number of individuals (Field type: Abundance)</li><li><b>Philidris</b>: Number of individuals (Field type: Abundance)</li><li><b>Vollenhovia</b>: Number of individuals (Field type: Abundance)</li><li><b>Rhoptromyrmex</b>: Number of individuals (Field type: Abundance)</li><li><b>Anillomyrma</b>: Number of individuals (Field type: Abundance)</li><li><b>Cryptopone</b>: Number of individuals (Field type: Abundance)</li><li><b>Aenictus</b>: Number of individuals (Field type: Abundance)</li><li><b>Calyptomyrmex</b>: Number of individuals (Field type: Abundance)</li><li><b>Amblyopone</b>: Number of individuals (Field type: Abundance)</li><li><b>Prenolepis</b>: Number of individuals (Field type: Abundance)</li></ul><br></li><li><p><b>Morphometrics</b> (Worksheet Morpho)</p><p>Dimensions: 72 rows by 4 columns</p><p>Description: Size classes for the genera</p><p>Fields: </p><ul><li><b>Genera</b>: Genus ID (Field type: Taxa)</li><li><b>Size.Min</b>: Minimum body size (Field type: Categorical Trait)</li><li><b>Size.Max</b>: Maximum body size (Field type: Categorical Trait)</li></ul><br></li><li><p><b>Competition</b> (Worksheet Competition)</p><p>Dimensions: 866 rows by 15 columns</p><p>Description: Outcome of competitive interactions among individuals of different genera</p><p>Fields: </p><ul><li><b>Forest Type</b>: Shows the two forest types used in the study (Field type: Categorical)</li><li><b>Site</b>: Represents the site/day sampled. 10 Sampling sites were used in each forest type (Field type: Location)</li><li><b>Time</b>: Represents the time in the day points were sampled (Field type: Time)</li><li><b>ID</b>: Represents individual sampling point. Order is: Site(Day)/Time/Type/Sampling point no. Logged ID's also have LF at the start (Field type: ID)</li><li><b>Method</b>: Method used to record interaction (Field type: Categorical)</li><li><b>Genera1</b>: Genus ID of the first interacting individual (Field type: Taxa)</li><li><b>Genera2</b>: Genus ID of the second interacting individual (Field type: Taxa)</li><li><b>TimeG1</b>: The arrival time of the first genus in the interaction to the bait card in seconds (Field type: Numeric)</li><li><b>TimeG2</b>: The arrival time of the second genus in the interaction to the bait card in seconds (Field type: Numeric)</li><li><b>IntG1</b>: The competitive status of the first genus in the interaction (Field type: Categorical Interaction)</li><li><b>IntG2</b>: The competitive status of the second genus in the interaction (Field type: Categorical Interaction)</li><li><b>Interaction</b>: The type of interaction occuring between the two genera (Field type: Categorical Interaction)</li><li><b>GroupG1</b>: Whether or not the first genus was part of a group of individuals when interacting on the bait card (Field type: Categorical)</li><li><b>GroupG2</b>: Whether or not the second genus was part of a group of individuals when interacting on the bait card (Field type: Categorical)</li></ul><br></li></ol><p><b>Date range: </b>2016-02-02 to 2016-06-05</p><p><b>Latitudinal extent: </b>4.7273 to 4.7463</p><p><b>Longitudinal extent: </b>116.9669 to 117.5969</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div>Animalia<br> - Arthropoda<br> -  - Insecta<br> -  -  - Hymenoptera<br> -  -  -  - Formicidae<br> -  -  -  -  - <i>Acanthomyrmex</i><br> -  -  -  -  - <i>Aenictus</i><br> -  -  -  -  - <i>Amblyopone</i><br> -  -  -  -  - <i>Anillomyrma</i><br> -  -  -  -  - <i>Anochetus</i><br> -  -  -  -  - <i>Aphaenogaster</i><br> -  -  -  -  - <i>Calyptomyrmex</i><br> -  -  -  -  - <i>Camponotus</i><br> -  -  -  -  - <i>Cardiocondyla</i><br> -  -  -  -  - <i>Carebara</i><br> -  -  -  -  - <i>Cataulacus</i><br> -  -  -  -  - <i>Centromyrmex</i><br> -  -  -  -  - <i>Cladomyrma</i><br> -  -  -  -  - <i>Crematogaster</i><br> -  -  -  -  - <i>Cryptopone</i><br> -  -  -  -  - <i>Dacetinops</i><br> -  -  -  -  - <i>Diacamma</i><br> -  -  -  -  - <i>Echinopla</i><br> -  -  -  -  - <i>Emeryopone</i><br> -  -  -  -  - <i>Euprenolepis</i><br> -  -  -  -  - <i>Eurhopalothrix</i><br> -  -  -  -  - <i>Gnamptogenys</i><br> -  -  -  -  - <i>Harpegnathos</i><br> -  -  -  -  - <i>Hypoponera</i><br> -  -  -  -  - <i>Leptogenys</i><br> -  -  -  -  - <i>Lophomyrmex</i><br> -  -  -  -  - <i>Lordomyrma</i><br> -  -  -  -  - <i>Monomorium</i><br> -  -  -  -  - <i>Myopias</i><br> -  -  -  -  - <i>Myrmecina</i><br> -  -  -  -  - <i>Myrmicaria</i><br> -  -  -  -  - <i>Myrmoteras</i><br> -  -  -  -  - <i>Mystrium</i><br> -  -  -  -  - <i>Nylanderia</i><br> -  -  -  -  - <i>Odontomachus</i><br> -  -  -  -  - <i>Odontoponera</i><br> -  -  -  -  - <i>Oecophylla</i><br> -  -  -  -  - <i>Pachycondyla</i><br> -  -  -  -  - <i>Paraparatrechina</i><br> -  -  -  -  - <i>Paratopula</i><br> -  -  -  -  - <i>Paratrechina</i><br> -  -  -  -  - <i>Pheidole</i><br> -  -  -  -  - <i>Pheidologeton</i><br> -  -  -  -  - <i>Philidris</i><br> -  -  -  -  - <i>Plagiolepis</i><br> -  -  -  -  - <i>Polyrhachis</i><br> -  -  -  -  - <i>Ponera</i><br> -  -  -  -  - <i>Prenolepis</i><br> -  -  -  -  - <i>Prionopelta</i><br> -  -  -  -  - <i>Proatta</i><br> -  -  -  -  - <i>Pseudolasius</i><br> -  -  -  -  - <i>Pyramica</i><br> -  -  -  -  - <i>Recurvidris</i><br> -  -  -  -  - <i>Rhoptromyrmex</i><br> -  -  -  -  - <i>Rhytidoponera</i><br> -  -  -  -  - [<i>Rotrastruma</i>]<br> -  -  -  -  - <i>Strumigenys</i><br> -  -  -  -  - <i>Tapinoma</i><br> -  -  -  -  - <i>Technomyrmex</i><br> -  -  -  -  - <i>Tetramorium</i><br> -  -  -  -  - <i>Tetraponera</i><br> -  -  -  -  - <i>Vollenhovia</i><br></div><p></p>
Investigating small mammal microhabitat selection in logged and unlogged tropical forests
<b>Description: </b><p>Spool and line tracking data on small mammals</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/87"><b>Investigating small mammal microhabitat selection in logged and unlogged tropical forests</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=60">here</a></p><p><b>Data worksheets: </b>There are 3 data worksheets in this dataset:</p><ol><li><p><b>Tracking data</b> (Worksheet Tracking)</p><p>Dimensions: 1396 rows by 15 columns</p><p>Description: Individual trap segment details for all spool-and-line tracked individuals</p><p>Fields: </p><ul><li><b>block</b>: SAFE Project Block in which trapping grid was located (Field type: Location)</li><li><b>Date</b>: Date individual was spooled (Field type: Date)</li><li><b>Species</b>: Species identity (Field type: Taxa)</li><li><b>Trap</b>: Trap number on the grid where individual was captured (Field type: ID)</li><li><b>Respool</b>: Has this individual been tracked previously? (Field type: Categorical)</li><li><b>track</b>: Track ID for that day (Field type: Replicate)</li><li><b>Pit.tag.no.</b>: PIT tag number of the individual being tracked (Field type: ID)</li><li><b>Sex</b>: Sex oFxthe individual (Field type: Categorical)</li><li><b>Weight</b>: Body mass of the individual (Field type: Numeric)</li><li><b>Distance</b>: Length of straight line portion of track (Field type: Numeric)</li><li><b>Bearing</b>: Compass bearing of track portion (Field type: Numeric)</li><li><b>Dominant.habitat.feature</b>: Habitat taype on the observed route (Field type: Categorical)</li><li><b>feature.control</b>: Habitat type on the control route (Field type: Categorical)</li><li><b>height</b>: Height above ground (Field type: Ordered Categorical)</li></ul><br></li><li><p><b>microhabitat data</b> (Worksheet microhabitat)</p><p>Dimensions: 597 rows by 15 columns</p><p>Description: Microhabitat details recorded along spool tracks</p><p>Fields: </p><ul><li><b>Species</b>: Species identity (Field type: Taxa)</li><li><b>individual</b>: PIT tag number of the individual being tracked (Field type: ID)</li><li><b>Control</b>: Is the record for the observed track of the control track? (Field type: Categorical)</li><li><b>ground</b>: Leaf density <0.5m above ground (Field type: Ordered Categorical)</li><li><b>understorey</b>: Leaf density 0.5m to 3m above ground (Field type: Ordered Categorical)</li><li><b>midstorey</b>: Leaf density 3m to 20m above ground (Field type: Ordered Categorical)</li><li><b>canopy</b>: Leaf density >20m above ground (Field type: Ordered Categorical)</li><li><b>forest.quality</b>: Forest quality (Field type: Ordered Categorical)</li><li><b>Predator</b>: Predation risk (Field type: Ordered Categorical)</li><li><b>Densiometer</b>: Canopy cover (Field type: Numeric)</li><li><b>Relascope</b>: Tree volume (Field type: Numeric)</li><li><b>height</b>: Height above ground (Field type: Ordered Categorical)</li><li><b>rain</b>: Rainfall (Field type: Ordered Categorical)</li><li><b>moon.phase</b>: Lunar phase (Field type: Ordered Categorical)</li></ul><br></li><li><p><b>environmental data</b> (Worksheet trap_covariates)</p><p>Dimensions: 295 rows by 14 columns</p><p>Description: Environmental quality metrics at trap locations</p><p>Fields: </p><ul><li><b>Site</b>: Site locality in camera trap grid (Field type: Location)</li><li><b>trap</b>: Trap identity within block (Field type: ID)</li><li><b>ground</b>: Leaf density <0.5m above ground (Field type: Ordered Categorical)</li><li><b>understorey</b>: Leaf density 0.5m to 3m above ground (Field type: Ordered Categorical)</li><li><b>midstorey</b>: Leaf density 3m to 20m above ground (Field type: Ordered Categorical)</li><li><b>canopy</b>: Leaf density >20m above ground (Field type: Ordered Categorical)</li><li><b>forest quality (O)</b>: Forest quality (Field type: Ordered Categorical)</li><li><b>Predator</b>: Predation risk (Field type: Ordered Categorical)</li><li><b>Densiometer 1</b>: Canopy cover - 1 of 4 measurements (Field type: Numeric)</li><li><b>Densiometer 2</b>: Canopy cover - 1 of 4 measurements (Field type: Numeric)</li><li><b>Densiometer 3</b>: Canopy cover - 1 of 4 measurements (Field type: Numeric)</li><li><b>Densiometer 4</b>: Canopy cover - 1 of 4 measurements (Field type: Numeric)</li><li><b>Relascope</b>: Tree volume (Field type: Numeric)</li></ul><br></li></ol><p><b>Date range: </b>2012-06-01 to 2012-07-21</p><p><b>Latitudinal extent: </b>4.6931 to 4.7166</p><p><b>Longitudinal extent: </b>117.5304 to 117.5975</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div>Animalia<br> - Chordata<br> -  - Mammalia<br> -  -  - Rodentia<br> -  -  -  - Muridae<br> -  -  -  -  - <i>Chrotomys</i><br> -  -  -  -  -  - <i>Chrotomys whiteheadi</i> (as <i>Maxomys whiteheadi</i>)<br> -  -  -  -  - <i>Leopoldamys</i><br> -  -  -  -  -  - <i>Leopoldamys sabanus</i><br> -  -  -  -  - <i>Maxomys</i><br> -  -  -  -  -  - <i>Maxomys surifer</i><br> -  -  -  -  - <i>Rattus</i><br> -  -  -  -  -  - <i>Rattus rattus</i><br></div><p></p>
Do logging roads impede small mammal movement in Borneo's tropical rainforests?
<b>Description: </b><p>Data from small mammal trap grid adjacent to roads and an associated movement/translocation experiment</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/37"><b>Do logging roads impede small mammal movement in Borneo's tropical rainforests?</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=113">here</a></p><p><b>Files: </b>This consists of 1 file: template_Heon.xlsx</p><p><b>template_Heon.xlsx</b></p><p>This file contains dataset metadata and 1 data tables:</p><ol><li><p><b>Road crossing field data</b> (described in worksheet RoadCrossing)</p><p>Description: Data from trap grid plus translocation experiment; NB: Paper accompanying this dataset used data from Site1-7 only; no translocations were conducted at Site8 so this was not used in the paper.</p><p>Number of fields: 23</p><p>Number of data rows: 3456</p><p>Fields: </p><ul><li><b>Site</b>: Site code (sites not georeferenced) (Field type: Location)</li><li><b>Treatment</b>: Experimental treatment trap was assigned to (Field type: Categorical)</li><li><b>Road.width</b>: Width of the road adjacent to trap grid (Field type: Numeric)</li><li><b>Date</b>: Date trap was set (Field type: Date)</li><li><b>Trap.Night</b>: Number of nights trap had been set at this site for (Field type: Numeric)</li><li><b>Trap.Number</b>: For field reference on distance and location of each trap. (Field type: ID)</li><li><b>Set.distance</b>: Distance from the road's edge or the start point in control sites. (Field type: Numeric)</li><li><b>Rat.Present</b>: Trap status (Field type: Categorical)</li><li><b>Distance.fromroad</b>: distance of the trap site from a road (Field type: Numeric)</li><li><b>Trap.Status</b>: Basic information about captured individuals (Field type: Categorical)</li><li><b>Species</b>: Species identity (Field type: Taxa)</li><li><b>Weight</b>: Body mass (Field type: Numeric)</li><li><b>Hind.foot</b>: Length of hind foot (Field type: Numeric)</li><li><b>Ear</b>: Length of ear (Field type: Numeric)</li><li><b>AGD</b>: Anal-genital distance (Field type: Numeric)</li><li><b>Sex</b>: Sex of the individual (Field type: Categorical)</li><li><b>Age</b>: Age of the individual (Field type: Categorical)</li><li><b>Release.distance</b>: Distance on the trap grid that the rat was released from (Field type: Numeric)</li><li><b>Returned.translocation</b>: Was the rat recaptured after translocation? (Field type: Categorical)</li><li><b>Recaptured.trap</b>: Trap ID code (Field type: ID)</li><li><b>Recaptured.Date</b>: Date rat was recaptured on trap grid after translocation (Field type: Date)</li><li><b>Recaptured.Distance</b>: Distance on the trap grid where the rat was re-captured (returned) from translocation (Field type: Numeric)</li><li><b>Recaptured.Day</b>: Day the rat is re-captured /return from translocation to trap grid (Field type: Numeric)</li></ul></li></ol><p><b>Date range: </b>2016-04-19 to 2016-07-20</p><p><b>Latitudinal extent: </b>4.6893 to 4.7472</p><p><b>Longitudinal extent: </b>117.5817 to 117.6158</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div>Animalia<br> - Chordata<br> -  - Mammalia<br> -  -  - Rodentia<br> -  -  -  - Muridae<br> -  -  -  -  - <i>Chrotomys</i><br> -  -  -  -  -  - <i>Chrotomys whiteheadi</i><br> -  -  -  -  - <i>Leopoldamys</i><br> -  -  -  -  -  - <i>Leopoldamys sabanus</i><br> -  -  -  -  - <i>Maxomys</i><br> -  -  -  -  -  - <i>Maxomys baeodon</i><br> -  -  -  -  -  - <i>Maxomys rajah</i><br> -  -  -  -  -  - <i>Maxomys surifer</i><br> -  -  -  -  - <i>Niviventer</i><br> -  -  -  -  -  - <i>Niviventer cremoriventer</i><br> -  -  -  -  - <i>Rattus</i><br> -  -  -  -  -  - <i>Rattus exulans</i><br> -  -  -  -  - <i>Sundamys</i><br> -  -  -  -  -  - <i>Sundamys muelleri</i><br></div><p></p>
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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)
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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.