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1,549 results for “invertebrate”
University of California Santa Barbara Invertebrate Zoology Collection (UCSB-IZC)
<p>Data archive (Darwin Core) from University of California Santa Barbara Invertebrate Zoology Collection, Cheadle Center for Biodiversity and Ecological Restoration.</p> <p>Collection Statistics</p> <ul> <li>40,220 specimen records</li> <li>38,705 (96%) georeferenced</li> <li>19,899 (49%) with images (31,098 total images)</li> <li>69 GenBank genetic references</li> <li>11,674 (29%) identified to species</li> <li>367 families</li> <li>903 genera</li> <li>915 species</li> <li>937 total taxa (including subsp. and var.)</li> </ul>
The global fish and invertebrate abundance value of mangroves dataset
<p>This dataset is the species and species group predictions of the density of 37 commercially important fish and invertebrates that are known to extensively use mangroves. All methods are provided in detail in the accompanying manuscript, zu Ermgassen <em>et al. </em>(2025) Mangroves support an estimated annual abundance of over 700 billion juvenile fish and invertebrates. </p> <h2>Description of files</h2> <ul> <li>Mangrove_commercial_fauna_density_data_references.csv: this is the raw data used to create the linear model using generalized least squares relating the fish density values to the covariate data</li> </ul> <p><strong>R Scripts & Data</strong></p> <ul> <li>This folder contain several R scripts and data files to used calculate the values in zu Ermgassen <em>et al. </em>(2025) Mangroves support an estimated annual abundance of over 700 billion juvenile fish and invertebrates. </li> </ul> <p><strong>Predictions</strong>*</p> <p>Species Predictions</p> <ul> <li>all_sp_fit_fn.csv: the mean predicted species density for 37 commercially important fish and invertebrates for a grid with a spatial resolution of 1km2.</li> <li>all_sp_fit_fn_lower.csv: the lower (1.96 * standard error of the model fit) predicted species density for 37 commercially important fish and invertebrates for a grid with a spatial resolution of 1km2.</li> <li>all_sp_fit_fn_upper.csv: the upper (1.96 * standard error of the model fit) predicted species density for 37 commercially important fish and invertebrates for a grid with a spatial resolution of 1km2.</li> </ul> <p>Species Group Predictions</p> <ul> <li>all_sp_fit_fn_total.csv: the mean, lower and upper (1.96 * standard error of the model fit) predicted species density for 37 commercially important fish and invertebrates for a grid with a spatial resolution of 1km2, with species summed into finfishes (n = 29), crabs (n = 4), bivalves (n = 1), and prawns (n = 3).</li> </ul> <p><strong>Prediction Shapefiles</strong></p> <ul> <li>Species Name Contractions.csv: file with key to name contractions in the shapefile datasets</li> <li>Shapfiles: spatial representations of the <strong>Predictions </strong>datasets based on the 1km2 grid</li> </ul> <p>* <strong>N.B. </strong>data labeled<em> Neosarmatium meinerti</em> in the above files has been corrected to <em>Neosarmatium africanum</em></p>
Secondary production increases with species richness but decreases with species evenness of benthic invertebrates
<p>Biodiversity is known to regulate ecosystem functioning under controlled experimental conditions. However, the 'real-world' consequences of biodiversity change remain uncertain, as biodiversity–ecosystem function (BEF) relationships observed in nature may be influenced by other drivers. Attempts to disentangle BEF relationships from the effects of confounding factors have so far focused mainly on primary producers, leaving relatively little known about the impact of changes in consumer diversity despite ecosystems experiencing species extirpations and introductions across trophic levels. Using data from 176 benthic invertebrate assemblages distributed throughout the North Sea, we studied how a fundamental ecological function – secondary production – varies in relation to two components of biodiversity – consumer species richness and evenness – while statistically controlling the effects of abiotic and biotic covariates. Production was enhanced as richness increased or evenness decreased. The relationship with evenness was attributable to its negative covariance with the abundance of small organisms; however, the relationship with richness could not be fully explained by other drivers. Our study reaffirms experimental findings about the functional importance of species richness and suggests that losing or gaining consumer species will affect secondary production over a broad range of biodiversity (20 to 118 species) in natural ecosystems.</p>
Freshwater invertebrates - diversity and function of stream macroinvertebrates: Effects of habitat conversion and strategies for conservation
<b>Description: </b><p>Freshwater invertebrate communities from stream sites along a habitat disturbance gradient (including old growth forest, logged forest, oil palm with riparian buffers, and oil palm with no buffers) within the SAFE Project experimental area, SAFE surrounding area, Maliau Basin, and Danum Valley.</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/121"><b>Diversity and function of stream macroinvertebrates: Effects of habitat conversion and strategies for conservation</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>Sime Darby Foundation (Research, SAFE Project)</li><li>NERC (Studentship, 1122589.0)</li><li>Proforest (Research)</li><li>Varley Gradwell Travelling Fellowship (Research)</li><li>Tim Whitmore Fund (Research)</li><li>Panton Trust (Research)</li><li>Cambridge University Commonwealth Fund (Research)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>Permits: </b>These data were collected under permit from the following authorities:</p><ul><li>Sabah Biodiversity Centre (SABC) (Research licence JKM/MBS.1000-2/2(37))</li><li>Sabah Biodiversity Centre (SABC) (Research licence JKM/MBS.1000-2/2(68))</li><li>Sabah Biodiversity Centre (SABC) (Research licence JKM/MBS:1000-2/2(230))</li></ul><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=6368114">here</a></p><p><b>Files: </b>This consists of 1 file: 2_Luke_Inverts_V4_mfh.xlsx</p><p><b>2_Luke_Inverts_V4_mfh.xlsx</b></p><p>This file contains dataset metadata and 7 data tables:</p><ol><li><p><b>Water striders (Gerromorpha)</b> (described in worksheet Gerro)</p><p>Description: Manually captured waterstriders. Rows represent potential functional group/body size x sample site/date combinations, but not each combination had individuals collected.</p><p>Number of fields: 66</p><p>Number of data rows: 33905</p><p>Fields: </p><ul><li><b>Locations</b>: Transect sampled (Field type: location)</li><li><b>Stream</b>: Stream IDs of where the bugs were collected (Field type: id)</li><li><b>Distance</b>: The 10-m section of the stream transect where bugs were collected (Field type: replicate)</li><li><b>CollectionDate</b>: Dates of when the bugs were collected (Field type: date)</li><li><b>Time</b>: The times of when the bugs were collected (Field type: replicate)</li><li><b>PotCode</b>: Pot ID. For example, 1 of 1 means there is only 1 pot for a particular Distance, 1 of 2 means it is the first pot out of 2 for a particular Distance, and so on (Field type: replicate)</li><li><b>ID</b>: The ID number for the pots, each Distance can consists of 1 to 3 pots of samples and each pot has its own ID (Field type: id)</li><li><b>HabitatType</b>: Habitat type (Field type: categorical)</li><li><b>HabitatTypeReplicate</b>: Replicate IDs for the habitat types. For example, the ID for stream 0m at 40-50m as the first replicate for LF/ Logged Forest is LF1.1, while for stream 0m at 20-30m is LF1.2, and so on (Field type: replicate)</li><li><b>SortDate</b>: Dates of when sortings were done (Field type: comments)</li><li><b>Family</b>: Family of the bugs collected (Field type: taxa)</li><li><b>Group</b>: Groups of the bugs based on body forms: 1) CGP (Cylindrostethinae, Gerrinae, and Ptilomerinae), 2) Halobatinae, and 3) Veliidae (Field type: taxa)</li><li><b>LifeStage</b>: Life stage of the bugs collected: either Juvenile (J) or Adult (A) (Field type: categorical trait)</li><li><b>Length</b>: The body length of the bugs collected (rounded) (Field type: numeric trait)</li><li><b>LengthRange</b>: The body length range of the bugs collected (Field type: id)</li><li><b>PredictedBiomass</b>: The predicted biomass of the bugs collected, calculated using power regression equations. Zeros indicate groups for which no individuals were present. a. Group CGP = Abundance in any of the cell from column W until BO * (0.04 * (the cell of the Column O (needs to be at the same row as the Abundance cell chosen from any of the column W until BO)/ representing the body length ^ 2.271)), b. Group Halobatinae = the same as above but with 0.072 and 2.218 as the coefficient a and b respectively, c. Group Veliidae = the same as above but with 0.041 and 2.32 as the coefficient a and b respectively. (Field type: numeric)</li><li><b>AdultWing</b>: Adult bug's ID based on the presence of wings (if the individual insect is a juvenile, the cell says 'None', instead of 'Winged' or 'Wingless') (Field type: categorical trait)</li><li><b>AdultWingAbund</b>: Adult bug's abundance based on the presence of wings (Field type: abundance)</li><li><b>PtilomeraMF</b>: Ptilomera sp. IDs based on sex: either male or female (Field type: categorical trait)</li><li><b>Note</b>: Notes about people who have sorted the bugs before Martina Harianja (if no one hasn't worked on a particular sample, it's written as 'None') (Field type: comments)</li><li><b>PtilomeraMFAbund</b>: Abundance of either male or female adult Ptilomera sp. (Field type: abundance)</li><li><b>4spot</b>: Abundance (Field type: abundance)</li><li><b>C.scrutator</b>: Abundance (Field type: abundance)</li><li><b>Cylindrosthetus.sp.</b>: Abundance (Field type: abundance)</li><li><b>Limnometra.sp.</b>: Abundance (Field type: abundance)</li><li><b>Metrocoris.sp.1</b>: Abundance (Field type: abundance)</li><li><b>Metrocoris.sp.2</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies15</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies20</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies24</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies25</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies27</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies28</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies29</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies30</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies31</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies33</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies34</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies35</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies36</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies37</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies38</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies4</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies40</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies41</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies42</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies43</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies44</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies45</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies46</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies47</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies6</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies7</b>: Abundance (Field type: abundance)</li><li><b>Morphospecies7.sp.2</b>: Abundance (Field type: abundance)</li><li><b>Potamometropsis.sp.</b>: Abundance (Field type: abundance)</li><li><b>Ptilomera.sp.</b>: Abundance (Field type: abundance)</li><li><b>Rhagovelia.sp.</b>: Abundance (Field type: abundance)</li><li><b>Rhagovelia.sp.2</b>: Abundance (Field type: abundance)</li><li><b>Rhagovelia.sp.3</b>: Abundance (Field type: abundance)</li><li><b>Rheumatogonus.sp.1</b>: Abundance (Field type: abundance)</li><li><b>Rheumatogonus.sp.2</b>: Abundance (Field type: abundance)</li><li><b>Strongylovelia.sp.</b>: Abundance (Field type: abundance)</li><li><b>Tenagogonus.sp.1</b>: Abundance (Field type: abundance)</li><li><b>Tenagogonus.sp.2</b>: Abundance (Field type: abundance)</li><li><b>Ventidius.sp.</b>: Abundance (Field type: abundance)</li><li><b>Ventidius.sp.2</b>: Abundance (Field type: abundance)</li></ul></li><li><p><b>10m Chironomids</b> (described in worksheet Chiron_10m)</p><p>Description: Sampled from the streambed using a Surber sampler in 2012/2013. Suber sample had quadrat area of 0.33m2 and 250 μm mesh net. Sampling done at regularly spaced points along the 200m long dragonfly transects.</p><p>Number of fields: 51</p><p>Number of data rows: 151</p><p>Fields: </p><ul><li><b>Locations</b>: Location within the SAFE landscape (Field type: location)</li><li><b>Stream</b>: Stream name (Field type: id)</li><li><b>Distance</b>: Distance along the stream transect (Field type: numeric)</li><li><b>StreamDistance</b>: Stream and distance ID (Field type: id)</li><li><b>PointLocation</b>: Point location on stream transect (Field type: location)</li><li><b>SampleDate</b>: Date sample was collected (Field type: date)</li><li><b>SampleTime</b>: Time sample was collected (Field type: time)</li><li><b>Cladotanytarsus6teeth</b>: Cladotanytarsus6teeth abundance (Field type: abundance)</li><li><b>Cladotanytarsus5teeth</b>: Cladotanytarsus5teeth abundance (Field type: abundance)</li><li><b>Orthocladius</b>: Orthocladius abundance (Field type: abundance)</li><li><b>CricotopusWorn</b>: CricotopusWorn abundance (Field type: abundance)</li><li><b>CricotopusCylindraceus</b>: CricotopusCylindraceus abundance (Field type: abundance)</li><li><b>CricotopusOliveri</b>: CricotopusOliveri abundance (Field type: abundance)</li><li><b>Thienemanniella</b>: Thienemanniella abundance (Field type: abundance)</li><li><b>Thienemanniella2</b>: Thienemanniella2 abundance (Field type: abundance)</li><li><b>KelianA</b>: KelianA abundance (Field type: abundance)</li><li><b>KelianB</b>: KelianB abundance (Field type: abundance)</li><li><b>KelianC</b>: KelianC abundance (Field type: abundance)</li><li><b>TanytarsusMendax</b>: TanytarsusMendax abundance (Field type: abundance)</li><li><b>TanytarsusNemorosus</b>: TanytarsusNemorosus abundance (Field type: abundance)</li><li><b>PolypedilumType2</b>: PolypedilumType2 abundance (Field type: abundance)</li><li><b>PolypedilumConvictum</b>: PolypedilumConvictum abundance (Field type: abundance)</li><li><b>PolypedilumSp3</b>: PolypedilumSp3 abundance (Field type: abundance)</li><li><b>Chironomini1stInstar</b>: Chironomini1stInstar abundance (Field type: abundance)</li><li><b>ChironominiGenusB</b>: ChironominiGenusB abundance (Field type: abundance)</li><li><b>ChironominiPhoto1</b>: ChironominiPhoto1 abundance (Field type: abundance)</li><li><b>ChironominiPhoto2</b>: ChironominiPhoto2 abundance (Field type: abundance)</li><li><b>ChironominiPhoto3</b>: ChironominiPhoto3 abundance (Field type: abundance)</li><li><b>ChironominiPhoto5</b>: ChironominiPhoto5 abundance (Field type: abundance)</li><li><b>CorynoneuraLobata</b>: CorynoneuraLobata abundance (Field type: abundance)</li><li><b>Thienemannimyia</b>: Thienemannimyia abundance (Field type: abundance)</li><li><b>Parametriocnemus</b>: Parametriocnemus abundance (Field type: abundance)</li><li><b>Ceratopogonidae</b>: Ceratopogonidae abundance (Field type: abundance)</li><li><b>Cardiocladius</b>: Cardiocladius abundance (Field type: abundance)</li><li><b>Ablabesmyia</b>: Ablabesmyia abundance (Field type: abundance)</li><li><b>Stenochironomus</b>: Stenochironomus abundance (Field type: abundance)</li><li><b>Cryptochironomus</b>: Cryptochironomus abundance (Field type: abundance)</li><li><b>Nanocladius</b>: Nanocladius abundance (Field type: abundance)</li><li><b>Stictochironomus</b>: Stictochironomus abundance (Field type: abundance)</li><li><b>Nilotanypus</b>: Nilotanypus abundance (Field type: abundance)</li><li><b>Rheotanytarsus</b>: Rheotanytarsus abundance (Field type: abundance)</li><li><b>RheocricotopusChalybeatus</b>: RheocricotopusChalybeatus abundance (Field type: abundance)</li><li><b>Dicrotendipes</b>: Dicrotendipes abundance (Field type: abundance)</li><li><b>Paratendipes</b>: Paratendipes abundance (Field type: abundance)</li><li><b>Pseudorthocladius</b>: Pseudorthocladius abundance (Field type: abundance)</li><li><b>Kiefferulus</b>: Kiefferulus abundance (Field type: abundance)</li><li><b>Paracladopelma</b>: Paracladopelma abundance (Field type: abundance)</li><li><b>Microtendipes</b>: Microtendipes abundance (Field type: abundance)</li><li><b>Eukiefferiella</b>: Eukiefferiella abundance (Field type: abundance)</li><li><b>Diamesinae</b>: Diamesinae abundance (Field type: abundance)</li><li><b>TanytarsiniSurfaceTooth</b>: TanytarsiniSurfaceTooth abundance (Field type: abundance)</li></ul></li><li><p><b>10m Ephemeroptera, Plecoptera, Tricoptera (EPT)</b> (described in worksheet EPTabun_10m)</p><p>Description: Sampled from the streambed using a Surber sampler in 2012/2013. Suber sample had quadrat area of 0.33m2 and 250 μm mesh net. Sampling done at regularly spaced points along the 200m long dragonfly transects.</p><p>Number of fields: 34</p><p>Number of data rows: 78</p><p>Fields: </p><ul><li><b>Locations</b>: Location within the SAFE landscape (Field type: location)</li><li><b>Stream</b>: Stream name (Field type: id)</li><li><b>StreamDistance</b>: Distance along the stream transect (Field type: id)</li><li><b>Distance</b>: Stream and distance ID (Field type: id)</li><li><b>PointLocation</b>: Point location on stream transect (Field type: location)</li><li><b>SampleDate</b>: Date sample was collected (Field type: date)</li><li><b>SampleTime</b>: Time sample was collected (Field type: time)</li><li><b>Baetidae</b>: Baetidae abundance (Field type: abundance)</li><li><b>Leptophlebiidae</b>: Leptophlebiidae abundance (Field type: abundance)</li><li><b>Heptageniidae</b>: Heptageniidae abundance (Field type: abundance)</li><li><b>Caenidae</b>: Caenidae abundance (Field type: abundance)</li><li><b>Tricorythidae</b>: Tricorythidae abundance (Field type: abundance)</li><li><b>Euthyplociidae</b>: Euthyplociidae abundance (Field type: abundance)</li><li><b>Potamanthidae</b>: Potamanthidae abundance (Field type: abundance)</li><li><b>Oligoneuriidae</b>: Oligoneuriidae abundance (Field type: abundance)</li><li><b>Ephemeridae</b>: Ephemeridae abundance (Field type: abundance)</li><li><b>EphemUnknown</b>: EphemUnknown abundance (Field type: abundance)</li><li><b>Perlidae</b>: Perlidae abundance (Field type: abundance)</li><li><b>Nemouridae</b>: Nemouridae abundance (Field type: abundance)</li><li><b>Leuctridae</b>: Leuctridae abundance (Field type: abundance)</li><li><b>Peltoperlidae</b>: Peltoperlidae abundance (Field type: abundance)</li><li><b>PlecopUnkown</b>: PlecopUnkown abundance (Field type: abundance)</li><li><b>Dipsuedopsidae</b>: Dipsuedopsidae abundance (Field type: abundance)</li><li><b>Hydropsychidae</b>: Hydropsychidae abundance (Field type: abundance)</li><li><b>Leptoceridae</b>: Leptoceridae abundance (Field type: abundance)</li><li><b>Xiphocentronidae</b>: Xiphocentronidae abundance (Field type: abundance)</li><li><b>Polycentropodidae</b>: Polycentropodidae abundance (Field type: abundance)</li><li><b>Psychomyiidae</b>: Psychomyiidae abundance (Field type: abundance)</li><li><b>Ecnomidae</b>: Ecnomidae abundance (Field type: abundance)</li><li><b>Philopotamidae</b>: Philopotamidae abundance (Field type: abundance)</li><li><b>Hydroptilidae</b>: Hydroptilidae abundance (Field type: abundance)</li><li><b>Lepidostomatidae</b>: Lepidostomatidae abundance (Field type: abundance)</li><li><b>Calamoceratidae</b>: Calamoceratidae abundance (Field type: abundance)</li><li><b>TrichopUnknown</b>: TrichopUnknown abundance (Field type: abundance)</li></ul></li><li><p><b>10m Odonata nymphs</b> (described in worksheet OdonataNymph)</p><p>Description: Sampled from the streambed using a Surber sampler in 2012/2013. Suber sample had quadrat area of 0.33m2 and 250 μm mesh net. Sampling done at regularly spaced points along the 200m long dragonfly transects.</p><p>Number of fields: 29</p><p>Number of data rows: 151</p><p>Fields: </p><ul><li><b>Locations</b>: Location within the SAFE landscape (Field type: location)</li><li><b>Stream</b>: Stream name (Field type: id)</li><li><b>Distance</b>: Distance along the stream transect (Field type: numeric)</li><li><b>StreamDistance</b>: Stream and distance ID (Field type: id)</li><li><b>SiteCode</b>: Point location on stream transect (Field type: location)</li><li><b>Date</b>: Date sample was collected (Field type: date)</li><li><b>Time</b>: Time sample was collected (Field type: time)</li><li><b>ChlorogomphidaeChlorogomphus</b>: ChlorogomphidaeChlorogomphus abundance (Field type: abundance)</li><li><b>GomphidaeLeptogomphus</b>: GomphidaeLeptogomphus abundance (Field type: abundance)</li><li><b>GomphidaeMegalogomphus</b>: GomphidaeMegalogomphus abundance (Field type: abundance)</li><li><b>GomphidaeBurmagomphus</b>: GomphidaeBurmagomphus abundance (Field type: abundance)</li><li><b>GomphidaeOnychogomphus</b>: GomphidaeOnychogomphus abundance (Field type: abundance)</li><li><b>GomphidaeGomphidia</b>: GomphidaeGomphidia abundance (Field type: abundance)</li><li><b>GomphidaeSinogomphus</b>: GomphidaeSinogomphus abundance (Field type: abundance)</li><li><b>GomphidaeHeliogomphus</b>: GomphidaeHeliogomphus abundance (Field type: abundance)</li><li><b>GomphidaeIctinogomphus</b>: GomphidaeIctinogomphus abundance (Field type: abundance)</li><li><b>GomphidaeUnknown</b>: GomphidaeUnknown abundance (Field type: abundance)</li><li><b>MacromiidaeUnknown1</b>: MacromiidaeUnknown1 abundance (Field type: abundance)</li><li><b>MacromiidaeMacromia</b>: MacromiidaeMacromia abundance (Field type: abundance)</li><li><b>MacromiidaeUnknown2</b>: MacromiidaeUnknown2 abundance (Field type: abundance)</li><li><b>LibellulidaeUnknown</b>: LibellulidaeUnknown abundance (Field type: abundance)</li><li><b>LibellulidaeTrithemis</b>: LibellulidaeTrithemis abundance (Field type: abundance)</li><li><b>EuphaeidaeEuphaea</b>: EuphaeidaeEuphaea abundance (Field type: abundance)</li><li><b>CalopterygidaeVestalis</b>: CalopterygidaeVestalis abundance (Field type: abundance)</li><li><b>PhilosinidaeRhinagrion</b>: PhilosinidaeRhinagrion abundance (Field type: abundance)</li><li><b>PlatystictidaeUnknown</b>: PlatystictidaeUnknown abundance (Field type: abundance)</li><li><b>LestidaeUnknown</b>: LestidaeUnknown abundance (Field type: abundance)</li><li><b>ChlorocyphidaeUnknown</b>: ChlorocyphidaeUnknown abundance (Field type: abundance)</li><li><b>Unknown</b>: Unknown abundance (Field type: abundance)</li></ul></li><li><p><b>10m benthic insects, order-level</b> (described in worksheet Order_10m)</p><p>Description: Sampled from the streambed using a Surber sampler in 2012/2013. Suber sample had quadrat area of 0.33m2 and 250 μm mesh net. Sampling done at regularly spaced points along the 200m long dragonfly transects.</p><p>Number of fields: 34</p><p>Number of data rows: 151</p><p>Fields: </p><ul><li><b>Locations</b>: Location within the SAFE landscape (Field type: location)</li><li><b>Stream</b>: Stream name (Field type: id)</li><li><b>Distance</b>: Distance along the stream transect (Field type: numeric)</li><li><b>StreamDistance</b>: Stream and distance ID (Field type: id)</li><li><b>PointLocations</b>: Point location on stream transect (Field type: location)</li><li><b>SampleDate</b>: Date sample was collected (Field type: date)</li><li><b>SampleTime</b>: Time sample was collected (Field type: time)</li><li><b>EphemeropteraWhole</b>: EphemeropteraWhole abundance (Field type: abundance)</li><li><b>EphemeropteraPart</b>: EphemeropteraPart abundance (Field type: abundance)</li><li><b>Ephemeroptera</b>: Ephemeroptera abundance (Field type: abundance)</li><li><b>PlecopteraWhole</b>: PlecopteraWhole abundance (Field type: abundance)</li><li><b>PlecopteraPart</b>: PlecopteraPart abundance (Field type: abundance)</li><li><b>Plecoptera</b>: Plecoptera abundance (Field type: abundance)</li><li><b>TrichopteraWhole</b>: TrichopteraWhole abundance (Field type: abundance)</li><li><b>TrichopteraPart</b>: TrichopteraPart abundance (Field type: abundance)</li><li><b>Trichoptera</b>: Trichoptera abundance (Field type: abundance)</li><li><b>ColeopteraLarvaeWhole</b>: ColeopteraLarvaeWhole abundance (Field type: abundance)</li><li><b>ColeopteraLarvaePart</b>: ColeopteraLarvaePart abundance (Field type: abundance)</li><li><b>ColeopteraAdultWhole</b>: ColeopteraAdultWhole abundance (Field type: abundance)</li><li><b>ColeopteraAdultPart</b>: ColeopteraAdultPart abundance (Field type: abundance)</li><li><b>Coleoptera</b>: Coleoptera abundance (Field type: abundance)</li><li><b>DipteraWhole</b>: DipteraWhole abundance (Field type: abundance)</li><li><b>DipteraPart</b>: DipteraPart abundance (Field type: abundance)</li><li><b>Diptera</b>: Diptera abundance (Field type: abundance)</li><li><b>OdonataWhole</b>: OdonataWhole abundance (Field type: abundance)</li><li><b>OdonataPart</b>: OdonataPart abundance (Field type: abundance)</li><li><b>Odonata</b>: Odonata abundance (Field type: abundance)</li><li><b>Heteroptera</b>: Heteroptera abundance (Field type: abundance)</li><li><b>Mites</b>: Mites abundance (Field type: abundance)</li><li><b>Isopods</b>: Isopods abundance (Field type: abundance)</li><li><b>Worms</b>: Worms abundance (Field type: abundance)</li><li><b>OtherWhole</b>: OtherWhole abundance (Field type: abundance)</li><li><b>OtherPart</b>: OtherPart abundance (Field type: abundance)</li><li><b>Other</b>: Other abundance (Field type: abundance)</li></ul></li><li><p><b>10m bottle traps, for crabs, shrimps, snails</b> (described in worksheet Bottletraps_nov2015)</p><p>Description: Crabs, shrimps, snails. Sampled using bottle traps baited with fish/bread. Sampling done at regularly spaced points along the 200m long dragonfly transects. </p><p>Number of fields: 13</p><p>Number of data rows: 999</p><p>Fields: </p><ul><li><b>Locations</b>: Location within the SAFE landscape (Field type: location)</li><li><b>Stream</b>: Stream name (Field type: id)</li><li><b>Date</b>: Date trap set (Field type: date)</li><li><b>ArrivalTime</b>: Trap set time (Field type: time)</li><li><b>LeavingTime</b>: Trap collection time (Field type: time)</li><li><b>Weather</b>: Weather comments (Field type: comments)</li><li><b>People</b>: Observer (Field type: comments)</li><li><b>Distance</b>: Distance along the stream transect (Field type: numeric)</li><li><b>IDnumber</b>: Trap number (Field type: id)</li><li><b>Shrimps</b>: Shrimps abundance (Field type: abundance)</li><li><b>Snails</b>: Snails abundance (Field type: abundance)</li><li><b>Crabs</b>: Crabs abundance (Field type: abundance)</li><li><b>Fish</b>: Fish abundance (Field type: abundance)</li></ul></li><li><p><b>200m transects, adult dragonflies</b> (described in worksheet Dragonflies_2012_2013)</p><p>Description: Adult dragonflies. Caught along 200m long transects using butterfly nets. </p><p>Number of fields: 23</p><p>Number of data rows: 1872</p><p>Fields: </p><ul><li><b>Location</b>: Location within the SAFE landscape (Field type: location)</li><li><b>Stream</b>: Stream name (Field type: id)</li><li><b>Date</b>: Distance along the stream transect (Field type: date)</li><li><b>Weather</b>: Stream and distance ID (Field type: comments)</li><li><b>WeatherIssues</b>: Weather issues (0 - no issues, 1 - issues) (Field type: numeric)</li><li><b>PeopleIssues</b>: People issues (0 - no issues, 1 - issues) (Field type: numeric)</li><li><b>People</b>: Observers (Field type: comments)</li><li><b>DragonflyNo</b>: Dragonfly catch number per day (Field type: id)</li><li><b>UniqueID</b>: Individual dragonfly ID (Field type: id)</li><li><b>Time</b>: Time of catch (Field type: time)</li><li><b>Photos</b>: How many photos were taken of that individual dragonfly (in order to assist with photo sorting later on) (Field type: id)</li><li><b>HeadColour</b>: Head colour (Field type: comments)</li><li><b>ThoraxColour</b>: Thorax colour (Field type: comments)</li><li><b>AbdomenColour</b>: Abdomen colour (Field type: comments)</li><li><b>WingColour</b>: Wing colour (Field type: comments)</li><li><b>Pair</b>: Whether a male/female mating pair or not (knowing this could sometimes help with ID decisions later on, especially for females which are poorly known) (Field type: categorical)</li><li><b>Point10m</b>: Point of catch along the transect (10m intervals along he transect) (Field type: numeric)</li><li><b>Habitat</b>: Habitat type (Field type: comments)</li><li><b>Activity</b>: What was the dragon fly doing (Field type: comments)</li><li><b>DateIDing</b>: Date of ID (Field type: date)</li><li><b>PeopleIDing</b>: Person Iding (JA= James Austin, RD= Rory Dow, SHL = Sarah Luke) (Field type: categorical)</li><li><b>Species</b>: Species of dragonfly (Field type: taxa)</li><li><b>MaleFemale</b>: Sex of dragonfly (Field type: categorical)</li></ul></li></ol><p><b>Date range: </b>2011-07-03 to 2015-04-18</p><p><b>Latitudinal extent: </b>4.5755 to 4.9618</p><p><b>Longitudinal extent: </b>116.9641 to 117.7965</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> -  -  Annelida <br> -  -  Arthropoda <br> -  -  -  Crabs <br> -  -  -  Insecta <br> -  -  -  -  Coleoptera <br> -  -  -  -  Coleoptera <br> -  -  -  -  Coleoptera <br> -  -  -  -  Coleoptera <br> -  -  -  -  Coleoptera <br> -  -  -  -  Diptera <br> -  -  -  -  -  Ceratopogonidae <br> -  -  -  -  -  Chironomidae <br> -  -  -  -  -  -  <i>Ablabesmyia</i> <br> -  -  -  -  -  -  <i>Cardiocladius</i> <br> -  -  -  -  -  -  Chironomini1stInstar <br> -  -  -  -  -  -  ChironominiGenusB <br> -  -  -  -  -  -  ChironominiPhoto1 <br> -  -  -  -  -  -  ChironominiPhoto2 <br> -  -  -  -  -  -  ChironominiPhoto3 <br> -  -  -  -  -  -  ChironominiPhoto5 <br> -  -  -  -  -  -  <i>Cladotanytarsus</i> <br> -  -  -  -  -  -  <i>Cladotanytarsus</i> <br> -  -  -  -  -  -  <i>Cricotopus</i> <br> -  -  -  -  -  -  -  <i>Cricotopus cylindraceus</i> <br> -  -  -  -  -  -  -  <i>Cricotopus olivetus</i> <br> -  -  -  -  -  -  <i>Cryptochironomus</i> <br> -  -  -  -  -  -  Diamesinae <br> -  -  -  -  -  -  <i>Dicrotendipes</i> <br> -  -  -  -  -  -  <i>Eukiefferiella</i> <br> -  -  -  -  -  -  KelianA <br> -  -  -  -  -  -  KelianB <br> -  -  -  -  -  -  KelianC <br> -  -  -  -  -  -  <i>Kiefferulus</i> <br> -  -  -  -  -  -  <i>Microtendipes</i> <br> -  -  -  -  -  -  <i>Nanocladius</i> <br> -  -  -  -  -  -  <i>Nilotanypus</i> <br> -  -  -  -  -  -  <i>Orthocladius</i> <br> -  -  -  -  -  -  <i>Paracladopelma</i> <br> -  -  -  -  -  -  <i>Parametriocnemus</i> <br> -  -  -  -  -  -  <i>Paratendipes</i> <br> -  -  -  -  -  -  <i>Polypedilum</i> <br> -  -  -  -  -  -  -  <i>Polypedilum convictum</i> <br> -  -  -  -  -  -  <i>Polypedilum</i> <br> -  -  -  -  -  -  -  <i>Polypedilum convictum</i> <br> -  -  -  -  -  -  <i>Pseudorthocladius</i> <br> -  -  -  -  -  -  <i>Rheotanytarsus</i> <br> -  -  -  -  -  -  <i>Stenochironomus</i> <br> -  -  -  -  -  -  <i>Stictochironomus</i> <br> -  -  -  -  -  -  TanytarsiniSurfaceTooth <br> -  -  -  -  -  -  <i>Thienemanniella</i> <br> -  -  -  -  -  -  <i>Thienemanniella</i> <br> -  -  -  -  -  -  <i>Thienemannimyia</i> <br> -  -  -  -  -  -  <i>Corynoneura</i> <br> -  -  -  -  -  -  -  <i>Corynoneura lobata</i> <br> -  -  -  -  -  -  <i>Tanytarsus</i> <br> -  -  -  -  -  -  -  <i>Tanytarsus mendax</i> <br> -  -  -  -  -  -  -  <i>Tanytarsus nemorosus</i> <br> -  -  -  -  -  -  <i>Rheocricotopus</i> <br> -  -  -  -  -  -  -  <i>Rheocricotopus chalybeatus</i> <br> -  -  -  -  Diptera <br> -  -  -  -  -  Ceratopogonidae <br> -  -  -  -  -  Chironomidae <br> -  -  -  -  -  -  <i>Ablabesmyia</i> <br> -  -  -  -  -  -  <i>Cardiocladius</i> <br> -  -  -  -  -  -  Chironomini1stInstar <br> -  -  -  -  -  -  ChironominiGenusB <br> -  -  -  -  -  -  ChironominiPhoto1 <br> -  -  -  -  -  -  ChironominiPhoto2 <br> -  -  -  -  -  -  ChironominiPhoto3 <br> -  -  -  -  -  -  ChironominiPhoto5 <br> -  -  -  -  -  -  <i>Cladotanytarsus</i> <br> -  -  -  -  -  -  <i>Cladotanytarsus</i> <br> -  -  -  -  -  -  <i>Cricotopus</i> <br> -  -  -  -  -  -  -  <i>Cricotopus cylindraceus</i> <br> -  -  -  -  -  -  -  <i>Cricotopus olivetus</i> <br> -  -  -  -  -  -  <i>Cryptochironomus</i> <br> -  -  -  -  -  -  Diamesinae <br> -  -  -  -  -  -  <i>Dicrotendipes</i> <br> -  -  -  -  -  -  <i>Eukiefferiella</i> <br> -  -  -  -  -  -  KelianA <br> -  -  -  -  -  -  KelianB <br> -  -  -  -  -  -  KelianC <br> -  -  -  -  -  -  <i>Kiefferulus</i> <br> -  -  -  -  -  -  <i>Microtendipes</i> <br> -  -  -  -  -  -  <i>Nanocladius</i> <br> -  -  -  -  -  -  <i>Nilotanypus</i> <br> -  -  -  -  -  -  <i>Orthocladius</i> <br> -  -  -  -  -  -  <i>Paracladopelma</i> <br> -  -  -  -  -  -  <i>Parametriocnemus</i> <br> -  -  -  -  -  -  <i>Paratendipes</i> <br> -  -  -  -  -  -  <i>Polypedilum</i> <br> -  -  -  -  -  -  -  <i>Polypedilum convictum</i> <br> -  -  -  -  -  -  <i>Polypedilum</i> <br> -  -  -  -  -  -  -  <i>Polypedilum convictum</i> <br> -  -  -  -  -  -  <i>Pseudorthocladius</i> <br> -  -  -  -  -  -  <i>Rheotanytarsus</i> <br> -  -  -  -  -  -  <i>Stenochironomus</i> <br> -  -  -  -  -  -  <i>Stictochironomus</i> <br> -  -  -  -  -  -  TanytarsiniSurfaceTooth <br> -  -  -  -  -  -  <i>Thienemanniella</i> <br> -  -  -  -  -  -  <i>Thienemanniella</i> <br> -  -  -  -  -  -  <i>Thienemannimyia</i> <br> -  -  -  -  -  -  <i>Corynoneura</i> <br> -  -  -  -  -  -  -  <i>Corynoneura lobata</i> <br> -  -  -  -  -  -  <i>Tanytarsus</i> <br> -  -  -  -  -  -  -  <i>Tanytarsus mendax</i> <br> -  -  -  -  -  -  -  <i>Tanytarsus nemorosus</i> <br> -  -  -  -  -  -  <i>Rheocricotopus</i> <br> -  -  -  -  -  -  -  <i>Rheocricotopus chalybeatus</i> <br> -  -  -  -  Diptera <br> -  -  -  -  -  Ceratopogonidae <br> -  -  -  -  -  Chironomidae <br> -  -  -  -  -  -  <i>Ablabesmyia</i> <br> -  -  -  -  -  -  <i>Cardiocladius</i> <br> -  -  -  -  -  -  Chironomini1stInstar <br> -  -  -  -  -  -  ChironominiGenusB <br> -  -  -  -  -  -  ChironominiPhoto1 <br> -  -  -  -  -  -  ChironominiPhoto2 <br> -  -  -  -  -  -  ChironominiPhoto3 <br> -  -  -  -  -  -  ChironominiPhoto5 <br> -  -  -  -  -  -  <i>Cladotanytarsus</i> <br> -  -  -  -  -  -  <i>Cladotanytarsus</i> <br> -  -  -  -  -  -  <i>Cricotopus</i> <br> -  -  -  -  -  -  -  <i>Cricotopus cylindraceus</i> <br> -  -  -  -  -  -  -  <i>Cricotopus olivetus</i> <br> -  -  -  -  -  -  <i>Cryptochironomus</i> <br> -  -  -  -  -  -  Diamesinae <br> -  -  -  -  -  -  <i>Dicrotendipes</i> <br> -  -  -  -  -  -  <i>Eukiefferiella</i> <br> -  -  -  -  -  -  KelianA <br> -  -  -  -  -  -  KelianB <br> -  -  -  -  -  -  KelianC <br> -  -  -  -  -  -  <i>Kiefferulus</i> <br> -  -  -  -  -  -  <i>Microtendipes</i> <br> -  -  -  -  -  -  <i>Nanocladius</i> <br> -  -  -  -  -  -  <i>Nilotanypus</i> <br> -  -  -  -  -  -  <i>Orthocladius</i> <br> -  -  -  -  -  -  <i>Paracladopelma</i> <br> -  -  -  -  -  -  <i>Parametriocnemus</i> <br> -  -  -  -  -  -  <i>Paratendipes</i> <br> -  -  -  -  -  -  <i>Polypedilum</i> <br> -  -  -  -  -  -  -  <i>Polypedilum convictum</i> <br> -  -  -  -  -  -  <i>Polypedilum</i> <br> -  -  -  -  -  -  -  <i>Polypedilum convictum</i> <br> -  -  -  -  -  -  <i>Pseudorthocladius</i> <br> -  -  -  -  -  -  <i>Rheotanytarsus</i> <br> -  -  -  -  -  -  <i>Stenochironomus</i> <br> -  -  -  -  -  -  <i>Stictochironomus</i> <br> -  -  -  -  -  -  TanytarsiniSurfaceTooth <br> -  -  -  -  -  -  <i>Thienemanniella</i> <br> -  -  -  -  -  -  <i>Thienemanniella</i> <br> -  -  -  -  -  -  <i>Thienemannimyia</i> <br> -  -  -  -  -  -  <i>Corynoneura</i> <br> -  -  -  -  -  -  -  <i>Corynoneura lobata</i> <br> -  -  -  -  -  -  <i>Tanytarsus</i> <br> -  -  -  -  -  -  -  <i>Tanytarsus mendax</i> <br> -  -  -  -  -  -  -  <i>Tanytarsus nemorosus</i> <br> -  -  -  -  -  -  <i>Rheocricotopus</i> <br> -  -  -  -  -  -  -  <i>Rheocricotopus chalybeatus</i> <br> -  -  -  -  Ephemeroptera <br> -  -  -  -  -  Baetidae <br> -  -  -  -  -  Caenidae <br> -  -  -  -  -  Ephemeridae <br> -  -  -  -  -  Ephemeridae <br> -  -  -  -  -  Euthyplociidae <br> -  -  -  -  -  Heptageniidae <br> -  -  -  -  -  Leptophlebiidae <br> -  -  -  -  -  Oligoneuriidae <br> -  -  -  -  -  Potamanthidae <br> -  -  -  -  -  Tricorythidae <br> -  -  -  -  Ephemeroptera <br> -  -  -  -  -  Baetidae <br> -  -  -  -  -  Caenidae <br> -  -  -  -  -  Ephemeridae <br> -  -  -  -  -  Ephemeridae <br> -  -  -  -  -  Euthyplociidae <br> -  -  -  -  -  Heptageniidae <br> -  -  -  -  -  Leptophlebiidae <br> -  -  -  -  -  Oligoneuriidae <br> -  -  -  -  -  Potamanthidae <br> -  -  -  -  -  Tricorythidae <br> -  -  -  -  Ephemeroptera <br> -  -  -  -  -  Baetidae <br> -  -  -  -  -  Caenidae <br> -  -  -  -  -  Ephemeridae <br> -  -  -  -  -  Ephemeridae <br> -  -  -  -  -  Euthyplociidae <br> -  -  -  -  -  Heptageniidae <br> -  -  -  -  -  Leptophlebiidae <br> -  -  -  -  -  Oligoneuriidae <br> -  -  -  -  -  Potamanthidae <br> -  -  -  -  -  Tricorythidae <br> -  -  -  -  Odonata <br> -  -  -  -  -  Chlorocyphidae <br> -  -  -  -  -  -  <i>Rhinocypha</i> <br> -  -  -  -  -  -  -  <i>Rhinocypha stygia</i> <br> -  -  -  -  -  -  -  <i>Rhinocypha aurofulgens</i> <br> -  -  -  -  -  -  -  <i>Rhinocypha humeralis</i> <br> -  -  -  -  -  -  -  <i>Rhinocypha stygia</i> <br> -  -  -  -  -  -  <i>Libellago</i> <br> -  -  -  -  -  -  -  <i>Libellago phaethon</i> <br> -  -  -  -  -  -  -  <i>Libellago semiopaca</i> <br> -  -  -  -  -  -  <i>Heliocypha</i> <br> -  -  -  -  -  -  -  <i>Heliocypha biseriata</i> <br> -  -  -  -  -  -  -  <i>Heliocypha biseriata</i> <br> -  -  -  -  -  Gomphidae <br> -  -  -  -  -  -  <i>Burmagomphus</i> <br> -  -  -  -  -  -  -  <i>Burmagomphus insularis</i> <br> -  -  -  -  -  -  <i>Gomphidia</i> <br> -  -  -  -  -  -  <i>Heliogomphus</i> <br> -  -  -  -  -  -  -  <i>Heliogomphus blandulus</i> <br> -  -  -  -  -  -  <i>Ictinogomphus</i> <br> -  -  -  -  -  -  <i>Leptogomphus</i> <br> -  -  -  -  -  -  -  <i>Leptogomphus williamsoni</i> <br> -  -  -  -  -  -  <i>Megalogomphus</i> <br> -  -  -  -  -  -  <i>Onychogomphus</i> <br> -  -  -  -  -  -  <i>Sinogomphus</i> <br> -  -  -  -  -  -  <i>Phaenandrogomphus</i> <br> -  -  -  -  -  -  -  <i>Phaenandrogomphus safei</i> <br> -  -  -  -  -  Lestidae <br> -  -  -  -  -  Libellulidae <br> -  -  -  -  -  -  <i>Trithemis</i> <br> -  -  -  -  -  -  -  <i>Trithemis aurora</i> <br> -  -  -  -  -  -  -  <i>Trithemis festiva</i> <br> -  -  -  -  -  -  <i>Orthetrum</i> <br> -  -  -  -  -  -  -  <i>Orthetrum chrysis</i> <br> -  -  -  -  -  -  -  <i>Orthetrum glaucum</i> <br> -  -  -  -  -  -  -  <i>Orthetrum testaceum</i> <br> -  -  -  -  -  -  -  <i>Orthetrum pruinosum</i> <br> -  -  -  -  -  -  -  -  <i>Orthetrum pruinosum schneideri</i> <br> -  -  -  -  -  -  <i>Tetrathemis</i> <br> -  -  -  -  -  -  <i>Lyriothemis</i> <br> -  -  -  -  -  -  -  <i>Lyriothemis cleis</i> <br> -  -  -  -  -  -  <i>Camacinia</i> <br> -  -  -  -  -  -  -  <i>Camacinia gigantea</i> <br> -  -  -  -  -  -  <i>Onychothemis</i> <br> -  -  -  -  -  -  -  <i>Onychothemis culminicola</i> <br> -  -  -  -  -  -  <i>Pantala</i> <br> -  -  -  -  -  -  -  <i>Pantala flavescens</i> <br> -  -  -  -  -  -  <i>Zygonyx</i> <br> -  -  -  -  -  -  -  <i>Zygonyx iris</i> <br> -  -  -  -  -  -  -  -  <i>Zygonyx iris errans</i> <br> -  -  -  -  -  -  <i>Cratilla</i> <br> -  -  -  -  -  -  -  <i>Cratilla lineata</i> <br> -  -  -  -  -  -  <i>Tyriobapta</i> <br> -  -  -  -  -  -  -  <i>Tyriobapta torrida</i> <br> -  -  -  -  -  -  <i>Neurothemis</i> <br> -  -  -  -  -  -  -  <i>Neurothemis fluctuans</i> <br> -  -  -  -  -  -  -  <i>Neurothemis ramburii</i> <br> -  -  -  -  -  Macromiidae <br> -  -  -  -  -  Macromiidae <br> -  -  -  -  -  Macromiidae <br> -  -  -  -  -  Platystictidae <br> -  -  -  -  -  -  <i>Drepanosticta</i> <br> -  -  -  -  -  -  -  <i>Drepanosticta actaeon</i> <br> -  -  -  -  -  -  -  <i>Drepanosticta rufostigma</i> <br> -  -  -  -  -  -  -  <i>Drepanosticta versicolor</i> <br> -  -  -  -  -  Megapodagrionidae <br> -  -  -  -  -  -  <i>Rhinagrion</i> <br> -  -  -  -  -  -  -  <i>Rhinagrion elopurae</i> <br> -  -  -  -  -  Amphipterygidae <br> -  -  -  -  -  -  <i>Devadatta</i> <br> -  -  -  -  -  -  -  <i>Devadatta tanduk</i> <br> -  -  -  -  -  Platycnemididae <br> -  -  -  -  -  -  <i>Coeliccia</i> <br> -  -  -  -  -  -  -  <i>Coeliccia arcuata</i> <br> -  -  -  -  -  -  -  <i>Coeliccia borneensis</i> <br> -  -  -  -  -  -  -  <i>Coeliccia cyaneothorax</i> <br> -  -  -  -  -  -  <i>Copera</i> <br> -  -  -  -  -  -  -  <i>Copera vittata</i> <br> -  -  -  -  -  Protoneuridae <br> -  -  -  -  -  -  <i>Prodasineura</i> <br> -  -  -  -  -  -  -  <i>Prodasineura hosei</i> <br> -  -  -  -  -  -  -  <i>Prodasineura verticalis</i> <br> -  -  -  -  -  Euphaeidae <br> -  -  -  -  -  -  <i>Euphaea</i> <br> -  -  -  -  -  -  -  <i>Euphaea impar</i> <br> -  -  -  -  -  -  -  <i>Euphaea subcostalis</i> <br> -  -  -  -  -  -  <i>Dysphaea</i> <br> -  -  -  -  -  -  -  <i>Dysphaea dimidiata</i> <br> -  -  -  -  -  -  -  <i>Dysphaea ulu</i> <br> -  -  -  -  -  Aeshnidae <br> -  -  -  -  -  -  <i>Tetracanthagyna</i> <br> -  -  -  -  -  -  -  <i>Tetracanthagyna degorsi</i> <br> -  -  -  -  -  Cordulegastridae <br> -  -  -  -  -  -  <i>Chlorogomphus</i> <br> -  -  -  -  -  Corduliidae <br> -  -  -  -  -  -  <i>Macromia</i> <br> -  -  -  -  -  -  -  <i>Macromia westwoodii</i> <br> -  -  -  -  -  -  <i>Macromidia</i> <br> -  -  -  -  -  -  -  <i>Macromidia fulva</i> <br> -  -  -  -  -  Coenagrionidae <br> -  -  -  -  -  -  <i>Pseudagrion</i> <br> -  -  -  -  -  -  -  <i>Pseudagrion pilidorsum</i> <br> -  -  -  -  -  -  <i>Agriocnemis</i> <br> -  -  -  -  -  -  -  <i>Agriocnemis femina</i> <br> -  -  -  -  -  -  <i>Stenagrion</i> <br> -  -  -  -  -  -  -  <i>Stenagrion dubium</i> <br> -  -  -  -  -  Calopterygidae <br> -  -  -  -  -  -  <i>Vestalis</i> <br> -  -  -  -  -  -  -  <i>Vestalis amaryllis</i> <br> -  -  -  -  -  -  -  <i>Vestalis amnicola</i> <br> -  -  -  -  -  -  -  <i>Vestalis amoena</i> <br> -  -  -  -  -  -  -  <i>Vestalis anacolosa</i> <br> -  -  -  -  -  -  <i>Vestalis</i> <br> -  -  -  -  -  -  -  <i>Vestalis amaryllis</i> <br> -  -  -  -  -  -  -  <i>Vestalis amnicola</i> <br> -  -  -  -  -  -  -  <i>Vestalis amoena</i> <br> -  -  -  -  -  -  -  <i>Vestalis anacolosa</i> <br> -  -  -  -  -  -  <i>Neurobasis</i> <br> -  -  -  -  -  -  -  <i>Neurobasis longipes</i> <br> -  -  -  -  Odonata <br> -  -  -  -  -  Chlorocyphidae <br> -  -  -  -  -  -  <i>Rhinocypha</i> <br> -  -  -  -  -  -  -  <i>Rhinocypha stygia</i> <br> -  -  -  -  -  -  -  <i>Rhinocypha aurofulgens</i> <br> -  -  -  -  -  -  -  <i>Rhinocypha humeralis</i> <br> -  -  -  -  -  -  -  <i>Rhinocypha stygia</i> <br> -  -  -  -  -  -  <i>Libellago</i> <br> -  -  -  -  -  -  -  <i>Libellago phaethon</i> <br> -  -  -  -  -  -  -  <i>Libellago semiopaca</i> <br> -  -  -  -  -  -  <i>Heliocypha</i> <br> -  -  -  -  -  -  -  <i>Heliocypha biseriata</i> <br> -  -  -  -  -  -  -  <i>Heliocypha biseriata</i> <br> -  -  -  -  -  Gomphidae <br> -  -  -  -  -  -  <i>Burmagomphus</i> <br> -  -  -  -  -  -  -  <i>Burmagomphus insularis</i> <br> -  -  -  -  -  -  <i>Gomphidia</i> <br> -  -  -  -  -  -  <i>Heliogomphus</i> <br> -  -  -  -  -  -  -  <i>Heliogomphus blandulus</i> <br> -  -  -  -  -  -  <i>Ictinogomphus</i> <br> -  -  -  -  -  -  <i>Leptogomphus</i> <br> -  -  -  -  -  -  -  <i>Leptogomphus williamsoni</i> <br> -  -  -  -  -  -  <i>Megalogomphus</i> <br> -  -  -  -  -  -  <i>Onychogomphus</i> <br> -  -  -  -  -  -  <i>Sinogomphus</i> <br> -  -  -  -  -  -  <i>Phaenandrogomphus</i> <br> -  -  -  -  -  -  -  <i>Phaenandrogomphus safei</i> <br> -  -  -  -  -  Lestidae <br> -  -  -  -  -  Libellulidae <br> -  -  -  -  -  -  <i>Trithemis</i> <br> -  -  -  -  -  -  -  <i>Trithemis aurora</i> <br> -  -  -  -  -  -  -  <i>Trithemis festiva</i> <br> -  -  -  -  -  -  <i>Orthetrum</i> <br> -  -  -  -  -  -  -  <i>Orthetrum chrysis</i> <br> -  -  -  -  -  -  -  <i>Orthetrum glaucum</i> <br> -  -  -  -  -  -  -  <i>Orthetrum testaceum</i> <br> -  -  -  -  -  -  -  <i>Orthetrum pruinosum</i> <br> -  -  -  -  -  -  -  -  <i>Orthetrum pruinosum schneideri</i> <br> -  -  -  -  -  -  <i>Tetrathemis</i> <br> -  -  -  -  -  -  <i>Lyriothemis</i> <br> -  -  -  -  -  -  -  <i>Lyriothemis cleis</i> <br> -  -  -  -  -  -  <i>Camacinia</i> <br> -  -  -  -  -  -  -  <i>Camacinia gigantea</i> <br> -  -  -  -  -  -  <i>Onychothemis</i> <br> -  -  -  -  -  -  -  <i>Onychothemis culminicola</i> <br> -  -  -  -  -  -  <i>Pantala</i> <br> -  -  -  -  -  -  -  <i>Pantala flavescens</i> <br> -  -  -  -  -  -  <i>Zygonyx</i> <br> -  -  -  -  -  -  -  <i>Zygonyx iris</i> <br> -  -  -  -  -  -  -  -  <i>Zygonyx iris errans</i> <br> -  -  -  -  -  -  <i>Cratilla</i> <br> -  -  -  -  -  -  -  <i>Cratilla lineata</i> <br> -  -  -  -  -  -  <i>Tyriobapta</i> <br> -  -  -  -  -  -  -  <i>Tyriobapta torrida</i> <br> -  -  -  -  -  -  <i>Neurothemis</i> <br> -  -  -  -  -  -  -  <i>Neurothemis fluctuans</i> <br> -  -  -  -  -  -  -  <i>Neurothemis ramburii</i> <br> -  -  -  -  -  Macromiidae <br> -  -  -  -  -  Macromiidae <br> -  -  -  -  -  Macromiidae <br> -  -  -  -  -  Platystictidae <br> -  -  -  -  -  -  <i>Drepanosticta</i> <br> -  -  -  -  -  -  -  <i>Drepanosticta actaeon</i> <br> -  -  -  -  -  -  -  <i>Drepanosticta rufostigma</i> <br> -  -  -  -  -  -  -  <i>Drepanosticta versicolor</i> <br> -  -  -  -  -  Megapodagrionidae <br> -  -  -  -  -  -  <i>Rhinagrion</i> <br> -  -  -  -  -  -  -  <i>Rhinagrion elopurae</i> <br> -  -  -  -  -  Amphipterygidae <br> -  -  -  -  -  -  <i>Devadatta</i> <br> -  -  -  -  -  -  -  <i>Devadatta tanduk</i> <br> -  -  -  -  -  Platycnemididae <br> -  -  -  -  -  -  <i>Coeliccia</i> <br> -  -  -  -  -  -  -  <i>Coeliccia arcuata</i> <br> -  -  -  -  -  -  -  <i>Coeliccia borneensis</i> <br> -  -  -  -  -  -  -  <i>Coeliccia cyaneothorax</i> <br> -  -  -  -  -  -  <i>Copera</i> <br> -  -  -  -  -  -  -  <i>Copera vittata</i> <br> -  -  -  -  -  Protoneuridae <br> -  -  -  -  -  -  <i>Prodasineura</i> <br> -  -  -  -  -  -  -  <i>Prodasineura hosei</i> <br> -  -  -  -  -  -  -  <i>Prodasineura verticalis</i> <br> -  -  -  -  -  Euphaeidae <br> -  -  -  -  -  -  <i>Euphaea</i> <br> -  -  -  -  -  -  -  <i>Euphaea impar</i> <br> -  -  -  -  -  -  -  <i>Euphaea subcostalis</i> <br> -  -  -  -  -  -  <i>Dysphaea</i> <br> -  -  -  -  -  -  -  <i>Dysphaea dimidiata</i> <br> -  -  -  -  -  -  -  <i>Dysphaea ulu</i> <br> -  -  -  -  -  Aeshnidae <br> -  -  -  -  -  -  <i>Tetracanthagyna</i> <br> -  -  -  -  -  -  -  <i>Tetracanthagyna degorsi</i> <br> -  -  -  -  -  Cordulegastridae <br> -  -  -  -  -  -  <i>Chlorogomphus</i> <br> -  -  -  -  -  Corduliidae <br> -  -  -  -  -  -  <i>Macromia</i> <br> -  -  -  -  -  -  -  <i>Macromia westwoodii</i> <br> -  -  -  -  -  -  <i>Macromidia</i> <br> -  -  -  -  -  -  -  <i>Macromidia fulva</i> <br> -  -  -  -  -  Coenagrionidae <br> -  -  -  -  -  -  <i>Pseudagrion</i> <br> -  -  -  -  -  -  -  <i>Pseudagrion pilidorsum</i> <br> -  -  -  -  -  -  <i>Agriocnemis</i> <br> -  -  -  -  -  -  -  <i>Agriocnemis femina</i> <br> -  -  -  -  -  -  <i>Stenagrion</i> <br> -  -  -  -  -  -  -  <i>Stenagrion dubium</i> <br> -  -  -  -  -  Calopterygidae <br> -  -  -  -  -  -  <i>Vestalis</i> <br> -  -  -  -  -  -  -  <i>Vestalis amaryllis</i> <br> -  -  -  -  -  -  -  <i>Vestalis amnicola</i> <br> -  -  -  -  -  -  -  <i>Vestalis amoena</i> <br> -  -  -  -  -  -  -  <i>Vestalis anacolosa</i> <br> -  -  -  -  -  -  <i>Vestalis</i> <br> -  -  -  -  -  -  -  <i>Vestalis amaryllis</i> <br> -  -  -  -  -  -  -  <i>Vestalis amnicola</i> <br> -  -  -  -  -  -  -  <i>Vestalis amoena</i> <br> -  -  -  -  -  -  -  <i>Vestalis anacolosa</i> <br> -  -  -  -  -  -  <i>Neurobasis</i> <br> -  -  -  -  -  -  -  <i>Neurobasis longipes</i> <br> -  -  -  -  Odonata <br> -  -  -  -  -  Chlorocyphidae <br> -  -  -  -  -  -  <i>Rhinocypha</i> <br> -  -  -  -  -  -  -  <i>Rhinocypha stygia</i> <br> -  -  -  -  -  -  -  <i>Rhinocypha aurofulgens</i> <br> -  -  -  -  -  -  -  <i>Rhinocypha humeralis</i> <br> -  -  -  -  -  -  -  <i>Rhinocypha stygia</i> <br> -  -  -  -  -  -  <i>Libellago</i> <br> -  -  -  -  -  -  -  <i>Libellago phaethon</i> <br> -  -  -  -  -  -  -  <i>Libellago semiopaca</i> <br> -  -  -  -  -  -  <i>Heliocypha</i> <br> -  -  -  -  -  -  -  <i>Heliocypha biseriata</i> <br> -  -  -  -  -  -  -  <i>Heliocypha biseriata</i> <br> -  -  -  -  -  Gomphidae <br> -  -  -  -  -  -  <i>Burmagomphus</i> <br> -  -  -  -  -  -  -  <i>Burmagomphus insularis</i> <br> -  -  -  -  -  -  <i>Gomphidia</i> <br> -  -  -  -  -  -  <i>Heliogomphus</i> <br> -  -  -  -  -  -  -  <i>Heliogomphus blandulus</i> <br> -  -  -  -  -  -  <i>Ictinogomphus</i> <br> -  -  -  -  -  -  <i>Leptogomphus</i> <br> -  -  -  -  -  -  -  <i>Leptogomphus williamsoni</i> <br> -  -  -  -  -  -  <i>Megalogomphus</i> <br> -  -  -  -  -  -  <i>Onychogomphus</i> <br> -  -  -  -  -  -  <i>Sinogomphus</i> <br> -  -  -  -  -  -  <i>Phaenandrogomphus</i> <br> -  -  -  -  -  -  -  <i>Phaenandrogomphus safei</i> <br> -  -  -  -  -  Lestidae <br> -  -  -  -  -  Libellulidae <br> -  -  -  -  -  -  <i>Trithemis</i> <br> -  -  -  -  -  -  -  <i>Trithemis aurora</i> <br> -  -  -  -  -  -  -  <i>Trithemis festiva</i> <br> -  -  -  -  -  -  <i>Orthetrum</i> <br> -  -  -  -  -  -  -  <i>Orthetrum chrysis</i> <br> -  -  -  -  -  -  -  <i>Orthetrum glaucum</i> <br> -  -  -  -  -  -  -  <i>Orthetrum testaceum</i> <br> -  -  -  -  -  -  -  <i>Orthetrum pruinosum</i> <br> -  -  -  -  -  -  -  -  <i>Orthetrum pruinosum schneideri</i> <br> -  -  -  -  -  -  <i>Tetrathemis</i> <br> -  -  -  -  -  -  <i>Lyriothemis</i> <br> -  -  -  -  -  -  -  <i>Lyriothemis cleis</i> <br> -  -  -  -  -  -  <i>Camacinia</i> <br> -  -  -  -  -  -  -  <i>Camacinia gigantea</i> <br> -  -  -  -  -  -  <i>Onychothemis</i> <br> -  -  -  -  -  -  -  <i>Onychothemis culminicola</i> <br> -  -  -  -  -  -  <i>Pantala</i> <br> -  -  -  -  -  -  -  <i>Pantala flavescens</i> <br> -  -  -  -  -  -  <i>Zygonyx</i> <br> -  -  -  -  -  -  -  <i>Zygonyx iris</i> <br> -  -  -  -  -  -  -  -  <i>Zygonyx iris errans</i> <br> -  -  -  -  -  -  <i>Cratilla</i> <br> -  -  -  -  -  -  -  <i>Cratilla lineata</i> <br> -  -  -  -  -  -  <i>Tyriobapta</i> <br> -  -  -  -  -  -  -  <i>Tyriobapta torrida</i> <br> -  -  -  -  -  -  <i>Neurothemis</i> <br> -  -  -  -  -  -  -  <i>Neurothemis fluctuans</i> <br> -  -  -  -  -  -  -  <i>Neurothemis ramburii</i> <br> -  -  -  -  -  Macromiidae <br> -  -  -  -  -  Macromiidae <br> -  -  -  -  -  Macromiidae <br> -  -  -  -  -  Platystictidae <br> -  -  -  -  -  -  <i>Drepanosticta</i> <br> -  -  -  -  -  -  -  <i>Drepanosticta actaeon</i> <br> -  -  -  -  -  -  -  <i>Drepanosticta rufostigma</i> <br> -  -  -  -  -  -  -  <i>Drepanosticta versicolor</i> <br> -  -  -  -  -  Megapodagrionidae <br> -  -  -  -  -  -  <i>Rhinagrion</i> <br> -  -  -  -  -  -  -  <i>Rhinagrion elopurae</i> <br> -  -  -  -  -  Amphipterygidae <br> -  -  -  -  -  -  <i>Devadatta</i> <br> -  -  -  -  -  -  -  <i>Devadatta tanduk</i> <br> -  -  -  -  -  Platycnemididae <br> -  -  -  -  -  -  <i>Coeliccia</i> <br> -  -  -  -  -  -  -  <i>Coeliccia arcuata</i> <br> -  -  -  -  -  -  -  <i>Coeliccia borneensis</i> <br> -  -  -  -  -  -  -  <i>Coeliccia cyaneothorax</i> <br> -  -  -  -  -  -  <i>Copera</i> <br> -  -  -  -  -  -  -  <i>Copera vittata</i> <br> -  -  -  -  -  Protoneuridae <br> -  -  -  -  -  -  <i>Prodasineura</i> <br> -  -  -  -  -  -  -  <i>Prodasineura hosei</i> <br> -  -  -  -  -  -  -  <i>Prodasineura verticalis</i> <br> -  -  -  -  -  Euphaeidae <br> -  -  -  -  -  -  <i>Euphaea</i> <br> -  -  -  -  -  -  -  <i>Euphaea impar</i> <br> -  -  -  -  -  -  -  <i>Euphaea subcostalis</i> <br> -  -  -  -  -  -  <i>Dysphaea</i> <br> -  -  -  -  -  -  -  <i>Dysphaea dimidiata</i> <br> -  -  -  -  -  -  -  <i>Dysphaea ulu</i> <br> -  -  -  -  -  Aeshnidae <br> -  -  -  -  -  -  <i>Tetracanthagyna</i> <br> -  -  -  -  -  -  -  <i>Tetracanthagyna degorsi</i> <br> -  -  -  -  -  Cordulegastridae <br> -  -  -  -  -  -  <i>Chlorogomphus</i> <br> -  -  -  -  -  Corduliidae <br> -  -  -  -  -  -  <i>Macromia</i> <br> -  -  -  -  -  -  -  <i>Macromia westwoodii</i> <br> -  -  -  -  -  -  <i>Macromidia</i> <br> -  -  -  -  -  -  -  <i>Macromidia fulva</i> <br> -  -  -  -  -  Coenagrionidae <br> -  -  -  -  -  -  <i>Pseudagrion</i> <br> -  -  -  -  -  -  -  <i>Pseudagrion pilidorsum</i> <br> -  -  -  -  -  -  <i>Agriocnemis</i> <br> -  -  -  -  -  -  -  <i>Agriocnemis femina</i> <br> -  -  -  -  -  -  <i>Stenagrion</i> <br> -  -  -  -  -  -  -  <i>Stenagrion dubium</i> <br> -  -  -  -  -  Calopterygidae <br> -  -  -  -  -  -  <i>Vestalis</i> <br> -  -  -  -  -  -  -  <i>Vestalis amaryllis</i> <br> -  -  -  -  -  -  -  <i>Vestalis amnicola</i> <br> -  -  -  -  -  -  -  <i>Vestalis amoena</i> <br> -  -  -  -  -  -  -  <i>Vestalis anacolosa</i> <br> -  -  -  -  -  -  <i>Vestalis</i> <br> -  -  -  -  -  -  -  <i>Vestalis amaryllis</i> <br> -  -  -  -  -  -  -  <i>Vestalis amnicola</i> <br> -  -  -  -  -  -  -  <i>Vestalis amoena</i> <br> -  -  -  -  -  -  -  <i>Vestalis anacolosa</i> <br> -  -  -  -  -  -  <i>Neurobasis</i> <br> -  -  -  -  -  -  -  <i>Neurobasis longipes</i> <br> -  -  -  -  Plecoptera <br> -  -  -  -  -  Leuctridae <br> -  -  -  -  -  Nemouridae <br> -  -  -  -  -  Peltoperlidae <br> -  -  -  -  -  Perlidae <br> -  -  -  -  Plecoptera <br> -  -  -  -  -  Leuctridae <br> -  -  -  -  -  Nemouridae <br> -  -  -  -  -  Peltoperlidae <br> -  -  -  -  -  Perlidae <br> -  -  -  -  Plecoptera <br> -  -  -  -  -  Leuctridae <br> -  -  -  -  -  Nemouridae <br> -  -  -  -  -  Peltoperlidae <br> -  -  -  -  -  Perlidae <br> -  -  -  -  Plecoptera <br> -  -  -  -  -  Leuctridae <br> -  -  -  -  -  Nemouridae <br> -  -  -  -  -  Peltoperlidae <br> -  -  -  -  -  Perlidae <br> -  -  -  -  Trichoptera <br> -  -  -  -  -  Calamoceratidae <br> -  -  -  -  -  Dipseudopsidae <br> -  -  -  -  -  Ecnomidae <br> -  -  -  -  -  Hydropsychidae <br> -  -  -  -  -  Hydroptilidae <br> -  -  -  -  -  Lepidostomatidae <br> -  -  -  -  -  Leptoceridae <br> -  -  -  -  -  Philopotamidae <br> -  -  -  -  -  Polycentropodidae <br> -  -  -  -  -  Psychomyiidae <br> -  -  -  -  -  Xiphocentronidae <br> -  -  -  -  Trichoptera <br> -  -  -  -  -  Calamoceratidae <br> -  -  -  -  -  Dipseudopsidae <br> -  -  -  -  -  Ecnomidae <br> -  -  -  -  -  Hydropsychidae <br> -  -  -  -  -  Hydroptilidae <br> -  -  -  -  -  Lepidostomatidae <br> -  -  -  -  -  Leptoceridae <br> -  -  -  -  -  Philopotamidae <br> -  -  -  -  -  Polycentropodidae <br> -  -  -  -  -  Psychomyiidae <br> -  -  -  -  -  Xiphocentronidae <br> -  -  -  -  Trichoptera <br> -  -  -  -  -  Calamoceratidae <br> -  -  -  -  -  Dipseudopsidae <br> -  -  -  -  -  Ecnomidae <br> -  -  -  -  -  Hydropsychidae <br> -  -  -  -  -  Hydroptilidae <br> -  -  -  -  -  Lepidostomatidae <br> -  -  -  -  -  Leptoceridae <br> -  -  -  -  -  Philopotamidae <br> -  -  -  -  -  Polycentropodidae <br> -  -  -  -  -  Psychomyiidae <br> -  -  -  -  -  Xiphocentronidae <br> -  -  -  -  Hemiptera <br> -  -  -  -  -  Heteroptera <br> -  -  -  -  -  Gerridae <br> -  -  -  -  -  -  Halobatinae <br> -  -  -  -  -  -  [4spot] <br> -  -  -  -  -  -  [Morphospecies15] <br> -  -  -  -  -  -  [Morphospecies25] <br> -  -  -  -  -  -  [Morphospecies27] <br> -  -  -  -  -  -  [Morphospecies28] <br> -  -  -  -  -  -  [Morphospecies29] <br> -  -  -  -  -  -  [Morphospecies33] <br> -  -  -  -  -  -  [Morphospecies34] <br> -  -  -  -  -  -  [Morphospecies35] <br> -  -  -  -  -  -  [Morphospecies42] <br> -  -  -  -  -  -  [Morphospecies46] <br> -  -  -  -  -  -  [Morphospecies47] <br> -  -  -  -  -  -  [Morphospecies6] <br> -  -  -  -  -  -  <i>Limnometra</i> <br> -  -  -  -  -  -  -  [Limnometra.sp.] <br> -  -  -  -  -  -  <i>Tenagogonus</i> <br> -  -  -  -  -  -  -  [Tenagogonus.sp.1] <br> -  -  -  -  -  -  -  [Tenagogonus.sp.2] <br> -  -  -  -  -  -  <i>Ptilomera</i> <br> -  -  -  -  -  -  -  [Ptilomera.sp.] <br> -  -  -  -  -  -  <i>Potamometropsis</i> <br> -  -  -  -  -  -  -  [Potamometropsis.sp.] <br> -  -  -  -  -  -  <i>Metrocoris</i> <br> -  -  -  -  -  -  -  [Metrocoris.sp.1] <br> -  -  -  -  -  -  -  [Metrocoris.sp.2] <br> -  -  -  -  -  -  <i>Cylindrostethus</i> <br> -  -  -  -  -  -  -  <i>Cylindrostethus scrutator</i> <br> -  -  -  -  -  -  -  [Cylindrostethus.sp.] <br> -  -  -  -  -  Veliidae <br> -  -  -  -  -  -  [Morphospecies20] <br> -  -  -  -  -  -  [Morphospecies24] <br> -  -  -  -  -  -  [Morphospecies30] <br> -  -  -  -  -  -  [Morphospecies31] <br> -  -  -  -  -  -  [Morphospecies36] <br> -  -  -  -  -  -  [Morphospecies37] <br> -  -  -  -  -  -  [Morphospecies38] <br> -  -  -  -  -  -  [Morphospecies4] <br> -  -  -  -  -  -  [Morphospecies40] <br> -  -  -  -  -  -  [Morphospecies41] <br> -  -  -  -  -  -  [Morphospecies43] <br> -  -  -  -  -  -  [Morphospecies44] <br> -  -  -  -  -  -  [Morphospecies45] <br> -  -  -  -  -  -  [Morphospecies7] <br> -  -  -  -  -  -  [Morphospecies7.sp.2] <br> -  -  -  -  -  -  <i>Rhagovelia</i> <br> -  -  -  -  -  -  -  [Rhagovelia.sp.] <br> -  -  -  -  -  -  -  [Rhagovelia.sp.2] <br> -  -  -  -  -  -  -  [Rhagovelia.sp.3] <br> -  -  -  -  -  -  <i>Strongylovelia</i> <br> -  -  -  -  -  -  -  [Strongylovelia.sp.] <br> -  -  -  -  -  Gerridae <br> -  -  -  -  -  -  Halobatinae <br> -  -  -  -  -  -  [4spot] <br> -  -  -  -  -  -  [Morphospecies15] <br> -  -  -  -  -  -  [Morphospecies25] <br> -  -  -  -  -  -  [Morphospecies27] <br> -  -  -  -  -  -  [Morphospecies28] <br> -  -  -  -  -  -  [Morphospecies29] <br> -  -  -  -  -  -  [Morphospecies33] <br> -  -  -  -  -  -  [Morphospecies34] <br> -  -  -  -  -  -  [Morphospecies35] <br> -  -  -  -  -  -  [Morphospecies42] <br> -  -  -  -  -  -  [Morphospecies46] <br> -  -  -  -  -  -  [Morphospecies47] <br> -  -  -  -  -  -  [Morphospecies6] <br> -  -  -  -  -  -  <i>Limnometra</i> <br> -  -  -  -  -  -  -  [Limnometra.sp.] <br> -  -  -  -  -  -  <i>Tenagogonus</i> <br> -  -  -  -  -  -  -  [Tenagogonus.sp.1] <br> -  -  -  -  -  -  -  [Tenagogonus.sp.2] <br> -  -  -  -  -  -  <i>Ptilomera</i> <br> -  -  -  -  -  -  -  [Ptilomera.sp.] <br> -  -  -  -  -  -  <i>Potamometropsis</i> <br> -  -  -  -  -  -  -  [Potamometropsis.sp.] <br> -  -  -  -  -  -  <i>Metrocoris</i> <br> -  -  -  -  -  -  -  [Metrocoris.sp.1] <br> -  -  -  -  -  -  -  [Metrocoris.sp.2] <br> -  -  -  -  -  -  <i>Cylindrostethus</i> <br> -  -  -  -  -  -  -  <i>Cylindrostethus scrutator</i> <br> -  -  -  -  -  -  -  [Cylindrostethus.sp.] <br> -  -  -  -  -  Macroveliidae <br> -  -  -  -  -  -  <i>Rheumatogonus</i> <br> -  -  -  -  -  -  -  [Rheumatogonus.sp.1] <br> -  -  -  -  -  -  -  [Rheumatogonus.sp.2] <br> -  -  -  -  -  -  <i>Ventidius</i> <br> -  -  -  -  -  -  -  [Ventidius.sp.] <br> -  -  -  -  -  -  -  [Ventidius.sp.2] <br> -  -  -  Shrimps <br> -  -  -  Arachnida <br> -  -  -  -  Mites <br> -  -  -  Malacostraca <br> -  -  -  -  Isopoda <br> -  -  Mollusca <br> -  -  -  Gastropoda <br> -  -  Chordata <br> -  -  -  Actinopterygii <br></div><p></p>
Soil property, microbial abundance, and plant and invertebrate biomass data across a natural soil temperature gradient in Iceland from August 2018
<p><span>This is a dataset of soil physiochemical properties, bacterial and fungal abundance, and above and belowground plant and invertebrate biomass, sampled at 40 plots in the Hengill geothermal valley, Iceland, from 15<sup>th</sup> to 22<sup>nd</sup> August 2018. The plots span a temperature gradient of 10</span><span>-35 °C over the sampling period, and this temperature gradient is consistent over time. The dataset also includes data on the decomposition rate of soil organic matter, which was sampled at 60 plots in the Hengill valley from May to July 2015.</span></p>
Parasite resistance and parasite tolerance: insights into transgenerational immune priming in an invertebrate host
<p>Parasites impose different selection regimes on their hosts, which respond by increasing their resistance and/or tolerance. Parental challenge with parasites can enhance the immune response of their offspring, a phenomenon documented in invertebrates and termed transgenerational immune priming. We exposed two parental generations of the model organism <em>Daphnia magna</em> to the horizontally-transmitted parasitic yeast <em>Metschnikowia bicuspidata</em>, and recorded resistance- and tolerance-related traits in the offspring generation. We hypothesized that parentally-primed offspring will increase either their resistance or their tolerance to the parasite. Our susceptibility assays revealed no impact of parental exposure on offspring resistance. Nonetheless, different fitness-related traits, which are indicative of tolerance, were altered. Specifically, maternal priming increased offspring production and decreased survival. Grandmaternal priming positively affected age at first reproduction and negatively affected brood size at first reproduction. Interestingly, both maternal and grandmaternal priming significantly reduced within-host parasite proliferation. Nevertheless, <em>Daphnia </em>primed for two consecutive generations had no competitive advantage in comparison to unprimed ones, implying additive maternal and grandmaternal effects. Our findings do not support evidence of transgenerational immune priming from bacterial infections in the same host species, thus emphasizing that transgenerational immune responses may not be consistent even within the same host species.</p>
Data for functional diversity and habitat preferences of native grassland plants and ground-dwelling invertebrates in private gardens along an urbanisation gradient
<p>Urbanisation influences biodiversity and ecosystem functions. However, private domestic gardens provide habitats for many species. Challenging conditions in urban gardens may support species possessing certain traits, but exclude other species. Functional diversity is therefore often altered in urban gardens. We surveyed native grassland plants and ground-dwelling invertebrates (snails, slugs, spiders, millipedes, woodlice, ants, rove beetles), and compiled data on urbanisation (distance to city centre, percentage of sealed area) and garden characteristics. We furthermore derived data on traits and habitat preferences for the species recorded in the gardens from the literature and own measurements. The survey comprised 35 domestic gardens along a rural-urban gradient in the city of Basel, Switzerland and its surroundings.</p>
Linking agri-environment scheme habitat area, predation and the abundance of chick invertebrate prey to the nesting success of a declining farmland bird
<p>Across Europe, farmland bird populations have continued to decline since the 1970s owing to the intensification of farming practices. Studies of such declines have tended to focus specifically on either the impacts of habitats (nesting and foraging), nest predators or prey availability on bird demographics. The study presented here provides new insights into the relative effects of each of these factors on Yellowhammer nest survival. The Yellowhammer was selected for this study as it is a UK red-listed bird species whose population is in decline across much of Europe. We use a long-term dataset of 147 nests, monitored between 1995 and 2007, to provide an insight into how Yellowhammer nest survival is influenced by nesting habitat (nest concealment and nest height), foraging habitats (habitat coverage within 100 m of nests), the removal of nest predators (Magpie Pica pica abundance as an inverse measure of avian predator removal through gamekeeping) and food availability (measured with a D-vac invertebrate suction sampler). Our results indicated that Yellowhammer hatching success was negatively related to the coverage of spring agri-environment scheme habitats, a group which represents invertebrate-rich agri-environment habitats, but hatching success increased with nest height. Fledging success was positively related to the coverage of the seed-rich habitat Wild Bird Seed mixture. The farm-level abundance of Yellowhammer chick-food invertebrates declined over the study period. Our results highlight the importance of simultaneously considering multiple agents that shape avian breeding success, i.e. their ability to produce offspring, to inform conservation management. Our key finding for land managers relates to the positive relationship between the proportion seed rich foraging habitat within the Yellowhammer's average foraging range and Yellowhammer fledging success, which shows that a habitat intended primarily to provide winter food resources is also important to breeding birds. Chick food abundance in this habitat was, however, similar to broadleaf and cereal crops. We recommend that this habitat should be provided near to potential Yellowhammer nesting sites and adjacent to invertebrate-rich agri-environment scheme habitats such as beetle banks and conservation headlands to further boost invertebrate resources for a declining farmland bird.</p>
Database of non-target invertebrates recorded in field experiments of genetically engineered Bt maize and corresponding non-Bt maize: data files
<p><span>This database represents a comprehensive collection of experimental field data from all over the world on non-target invertebrates recorded in genetically engineered/modified Bt and non-Bt maize. The three data files deposited here are described by Meissle et al. (2022), BMC Research Notes, <span><a href="https://doi.org/10.1186/s13104-022-06021-3"><span>https://doi.org/10.1186/s13104-022-06021-3</span></a></span><span> </span>.</span></p> <p><span>The database was created for a systematic review with the question if growing Bt maize changes abundance or ecological function of non-target animals compared to growing of non-GM maize, published by Meissle et al. (2022), Environmental Evidence, <a href="https://doi.org/10.1186/s13750-022-00272-0"><span>https://doi.org/10.1186/s13750-022-00272-0</span></a></span>.</p> <p>Data file 1 contains the database with 7279 records of non-target invertebrate abundance, activity density, or predation or parasitism in Bt and non-Bt maize, extracted from 120 publications. Data file 2 includes the list and definitions of variables in the database, and data file 3 represents the critical appraisal questions and answer options.</p>
Soil ecotoxicology needs robust biomarkers – a meta-analysis approach to test the robustness of gene expression-based biomarkers for measuring chemical exposure effects in soil invertebrates
<p>Gene expression-based biomarkers are regularly proposed as rapid, sensitive and mechanistically informative tools to identify whether soil invertebrates are experiencing adverse effects due to chemical exposure. However, before biomarkers could be deployed within diagnostic studies, systematic evidence of the robustness of such biomarkers to detect effects is needed. Here, we present an approach for conducting a systematic meta-analysis of the robustness of gene expression-based biomarkers in soil invertebrates.</p> <p>The approach was developed and trialled for two measurements of gene expression commonly proposed as biomarkers in soil ecotoxicology: metallothionein (MT) gene expression in earthworms for metals and heat shock protein 70 (HSP70) gene expression in earthworms for organic chemicals. From a systematic analysis of the published literature, we collected 294 unique gene expression data points and used linear mixed-effect models to assess concentration, exposure duration and species effects on the quantified response.</p> <p>This database provided contains gene-expression data from publications that have used gene expression-based biomakers to study effects of chemical pollutants on soil invertebrates. R scripts are provided that were used to study the patterns of gene expression as reported in accompanying publication. </p> <p>We encourage colleagues in the field to apply this approach to other biomarkers, as such quantitative assessment is a prerequisite to ensuring that the suitability and limitations of proposed biomarkers are known and stated.</p>
Assessment of the stream invertebrate β-diversity along an elevation gradient using a bidimensional null model analysis
<p><strong>Aim:</strong> β-Diversity, commonly defined as the compositional variation among localities that links local diversity (α‐diversity) and regional diversity (γ‐diversity), can arise from two different ecological phenomena, namely the spatial species turnover (i.e. species replacement) and the nestedness of assemblages (i.e. species loss). However, any assessment that does not account for stochasticity in community assembly could be biased and misinform conservation management. In this study, we aimed to provide a better understanding of the overall ecological phenomena underlying stream β-diversity along elevation gradients, and at contributing to the rich debate on null model approaches to identify non-random patterns in the distribution of taxa.</p> <p><strong>Location:</strong> Swiss Alpine region.</p> <p><strong>Methods:</strong> Based on presence-absence data of 78 stream invertebrate families from 309 sites, we analyzed the effect size of non-random spatial distribution of stream invertebrates on the β-diversity and its two components (i.e. turnover and nestedness). We used a modelling framework that allows exploring the complete range of existing algorithm sused in null model analysis, and to assess how distribution patterns vary according to an array of possible ecological assumptions.</p> <p><strong>Results:</strong> Overall, the turnover of stream invertebrates and the nestedness of assemblages were significantly lower and higher, respectively, than the ones expected by chance. This pattern increased with elevation, and the consistent trend observed along the altitudinal gradient, even in the most conservative analysis, strengthened our findings.</p> <p><strong>Main conclusions:</strong> Our study suggests that deterministic distribution of stream invertebrates in the Swiss Alpine region is significantly driven by differential dispersal capacity and environmental stress gradients. As long as the ecological assumptions for constructing the null models and their implications are acknowledged, we believe that they still represent useful tools to measure the effect size of non-random spatial distribution of taxa on β-diversity.</p>
Relationship of Sphaeroma quoianum to sediment characteristics and invertebrate community
<p>To determine the relationship of an invasive isopod, <em>Sphaeroma quoianum</em>, to invertebrate community and sediment characteristics, three burrowed (B) transects and one unburrowed (N) transect were surveyed and sampled for abiotic conditions, invertebrate and sediment cores. Data from the abiotic conditions, sediment conditions, and invertebrate community are summarized in this file.</p>
Mammal mitogenomics from invertebrate-derived DNA (iDNA)
<p>Mitogenomic capture of Non-human Primates from invertebrate derived DNA using hybridisation capture. </p> <p>Files are in fastq format and sequenced with illumina Mi-Seq using the Mi-Seq Reagent Kit v3 (2 x 250bp; illumina) .</p>
Fish carcass deposition to suppress invasive lake trout through hypoxia causes limited, non-target effects on benthic invertebrates in Yellowstone Lake
<p class="MsoNormal">Invasive species can have negative effects on native biodiversity and ecosystem function, and suppression is often required to minimize the effects. However, management actions to suppress invasive species may cause negative, unintended effects on non-target taxa. Across the USA, lake trout (<em>Salvelinus namaycush</em>) are invasive in many freshwater ecosystems, reducing native fish abundance and diversity through predation and competition. In an integrated pest management approach, lake trout embryos in Yellowstone Lake, Wyoming are suppressed by depositing lake trout carcasses onto spawning sites; the carcasses reduce dissolved oxygen concentrations as they decay, causing embryo mortality. We conducted a field experiment during one ice-free season at four sites in Yellowstone Lake to investigate the non-target effects of carcass treatment on benthic invertebrates, which could have consequences for native fish diets. While overall invertebrate density and biomass did not respond to carcass treatment, Chironomidae midges and Sphaeriidae fingernail clams decreased in abundance. Carcass treatment altered invertebrate community structure based on density, but not biomass. Carcass treatment to suppress invasive fish embryos has spatially localized, non-target effects on some benthic invertebrate taxa. Given the small spatial extent of carcass treatment within the lake, we conclude it is unlikely that carcass treatment will alter food availability for native fishes.</p>
Observations of invertebrate predation on Xenopus mellotropicalis frogs.
<p>We report here for the first time our observations of predation events on <em>Xenopus mellotropicalis</em> frogs that illustrate the diversity of predators for that species.</p>
Data from: Development and validation of targeted environmental DNA (eDNA) metabarcoding for early detection of 69 invasive fishes and aquatic invertebrates
<p>Invasive species are of concern due to their impacts on ecosystems and economies, but they pose significant control challenges. Environmental DNA (eDNA) is a powerful tool in the detection of aquatic organisms at low densities due to high sensitivity and ease of collection. Aquatic eDNA analyses have increased worldwide and are generally either applied to a few target species (quantitative PCR) or for broad taxonomic applications (metabarcoding). Here we describe the development and testing of a hybrid approach that utilized high sensitivity PCR primer sets and high-throughput sequencing (HTS), referred to as <em>targeted metabarcoding</em>, to detect 69 fishes and invertebrates. We identified target species based on reports of globally important invasive species and developed two independent PCR primers for each species (CO1 and a second mtDNA region). We assessed sensitivity and eDNA interference for all 138 primers (2 per species, 69 species) using standard end-point PCR and tested them on 10 eDNA samples spiked with various amounts of one or more of the target species' DNA. The sensitivity of the 138 primer sets ranged between 1.5×10<sup>-5</sup> and 2.64 ng template DNA (mean = 0.069 ng). Primers were also tested for interference effects using plankton eDNA to simulate field conditions. The inclusion of interfering plankton DNA reduced the sensitivity for most primer sets by one or more orders of magnitude (range 0 to 3). Overall, our targeted metabarcoding resulted in the detection of ~ 98% of species in the DNA spiked samples, and, perhaps more importantly, the HTS read count was positively related to the quantity of spiked DNA (P < 0.002). We envision this technique being particularly useful for the early detection of species at low population densities; however, there are diverse applications of targeted metabarcoding for monitoring aquatic community composition and quantifying ecosystem change and health.</p>
Reciprocal bark exchange helps to disentangle tree species dependent bark and wood trait effects on invertebrate diversity
<p>1. Previous studies showed that bark cover at early-decay stage had profound control on the invertebrate assemblages of bark and wood, with possible consequence for the decomposition process. However, previous experimental designs could not disentangle how bark versus wood traits affect the invertebrate assemblage process in bark and/or wood separately because wood traits of different tree species may vary independently from bark traits. Furthermore, we do not know whether such tree species specific bark trait effects are still influential at mid-decay stage.</p> <p>2. To unravel whether and how bark and wood traits influence invertebrate communities in tree logs at mid-decay stage, we introduce reciprocal bark transplantation within pairs of different tree species as a new method. We applied this method to two pairs of phylogenetically contrasting species of gymnosperms (pair I: Araucaria araucana and Cryptomeria japonica, pair II: Picea abies and Thuja plicata) and another gymnosperm (Chamaecyparis lawsoniana) set as disturbance control to test for potential bark manipulation artefacts on invertebrate community composition.</p> <p>3. Our bark exchange experiment revealed that both bark and wood host abundant and divergent subsets of invertebrates on mid-decay logs of different tree species. We further documented that the invertebrate community composition was predominantly shaped by the traits of host tissue per se, while also being significantly but less strongly affected by the traits of the other tissue, i.e. the adjacent bark or wood. Our results indicated that bark trait effects faded with time and how long bark trait effects persist greatly depends on bark thickness.</p> <p>4. Synthesis. Our study suggests that maintaining deadwood heterogeneity related to variation between tree species, and to bark versus wood, is important for nursing a large biodiversity of invertebrates. Combined with bark removal methodology, our bark exchange method can be further extended to more decay stages and more forest biomes to track bark trait effects and bark induced priority effects on deadwood decomposition, and its associated invertebrate and microbial communities.</p>
Data for: Whole-of-community invertebrate rewilding: Leaf litter transplants rapidly increase beetle diversity during restoration
<p><span>Restoration of degraded areas is now a central tool in humanity's response to continued species loss. However, restoration projects often report exceedingly slow or failed recolonization of fauna, especially dispersal-constrained groups such as invertebrates. Active interventions via reintroducing or "rewilding" invertebrates may assist recolonization and speed up the restoration of communities towards a desired target. However, invertebrate rewilding is rarely implemented during ecological restoration. Here, we studied the efficacy of invertebrate rewilding as a means of improving diversity and compositional similarities to remnant communities during restoration. Rewilding was conducted by transplanting leaf litter and soil, including associated communities of invertebrates from species-rich remnant sites into species-poor and geographically isolated revegetated farmland sites. We sampled pre- and post-rewilding invertebrate communities in remnant, rewilded revegetation, and control revegetation sites. Our data contains mesoinvertebrate (<5mm in size) community samples from 6 sites within each of our 3 treatments. We took 8 subsamples measuring 25 cm by 25 cm containing the entire mesoinvertebrate leaf litter community from each site across 4 different seasons. The first season was a pre-treatment baseline measurement and was taken in November 2018. Thereafter, we sampled 7-, 18-, and 27- months post-rewilding. Our data contains a range of traits for each morphospecies (Size in mm, trophic group, and whether they were winged or flightless) and two environmental variables measured at each site (Volumetric water content and elevation). We included these for our Hierarchical Modelling of Species Community (HMSC) approach to determine whether biological properties of species or environmental variables were driving species distributions. Beetle (Coleoptera) morphospecies richness increased rapidly in rewilded sites and was indistinguishable from remnant communities as early as 7 months post-rewilding. Beetle community similarity in the rewilding sites significantly deviated from the control sites 27 months post-rewilding, however, remnant communities remained distinct over the study timeframe. Establishment success varied as other taxa did not respond as consistently as beetles within the study timeframe. Our results demonstrate that the relatively simple act of transplanting leaf litter can result in comparatively large increases in morphospecies richness during restoration in a short timeframe.</span></p>
Data from: Invertebrate diversity in groundwater filled lava caves is influenced by both neutral and niche-based processes
<p><strong>Aim</strong>: Understanding which factors shape and maintain biodiversity is essential to understand how ecosystems respond to crises. Biodiversity in ecological communities is a result of the interaction of various factors which can be classified as neutral or niche-based. The importance of these processes has been debated, but many scientists believe that both processes are important. Here we examined the importance of neutral vs. niche-based factors for shaping invertebrate communities. We hypothesized that if neutral processes are the main drivers of community structure we would not see any clear relationship between the structure of community and ecological factors. If niche-based processes are important we should see clear relationships between community structure and variation in ecological variables.</p> <p><strong>Location</strong>: Groundwater-filled lava caves near Lake Mývatn, Iceland.</p> <p><strong>Methods</strong>: We collected various ecological variables from these caves. Invertebrate communities were collected on the hard bottom using stone scrubbing and from epibenthic traps. Results: Both communities were species-poor, with low densities of invertebrates, showing the resource-limited and oligotrophic nature of these systems. Unusually for Icelandic freshwater ecosystems, the benthic communities were not dominated by Chironomidae (Diptera) larvae, but rather by crustaceans, mainly Cladocera. The epibenthic communities were not shaped by environmental variables, suggesting that they may be structured primarily by neutral processes. The benthic communities were shaped by the availability of energy, and to some extent pH, suggesting that niche-based processes were important drivers of community structure, although neutral processes may still be relevant. </p> <p><strong>Main conclusions</strong>: The results suggest that both processes are important for invertebrate communities in freshwater, and research should focus on understanding both of these processes. The ponds we studied are representative of a number of freshwater ecosystems that are extremely vulnerable to human disturbance, making it even more important to understand how their biodiversity is shaped and maintained.</p>
Environmental predictors and invertebrate morphotypes in caves of Iuiú, Bahia, Brazil
<p>In caves, the absence of natural light in deeper regions starkly contrasts with the entrance areas, which still exhibit a light gradient extending into the cave interior. This interplay with the structural gradient of the environment potentially exerts distinct influences on invertebrate communities residing in different cave light zones. To investigate this, we formulated a hypothesis positing that communities within distinct cave light zones respond differently to habitat structure and microclimatic conditions. Our approach involved a spatial multi-scale sampling of invertebrates and the application of statistical analyses to contrast the responses of communities inhabiting photic and aphotic zones. Photic zone richness is influenced by factors such as air moisture, resource availability, root presence, and shelter diversity. In contrast, the richness of communities in aphotic zones is shaped by resource availability, the presence of roots, branches, and distance from the cave entrance. As expected, the richness in the photic zone surpasses that of the deeper regions, highlighting the challenges faced by invertebrates attempting to establish themselves in the aphotic zone. The species composition of faunal communities varied predictably from the entrance to the aphotic zone, and the three most important factors driving this variation were geographic distance, humidity, and distance from the entrance. The composition between these cave zones differs significantly, primarily due to the high number of obligate cave species predominantly inhabiting the aphotic region. Indeed, communities associated with different cave zones exhibit distinct responses to resource, microclimatic, and structural variables.</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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.