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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>
BIODISCOVER image data on Danish freshwater macroinvertebrates
<p>This data set includes images of 60+ specimens of each of 16 taxa of freshwater macroinvertebrates recorded with the BIODISCOVER system (<a href="https://doi.org/10.1111/2041-210X.13428">https://doi.org/10.1111/2041-210X.13428</a>). The images are used in an analysis of how classification performance of a convolutional neural network relates to the sample size of the training data. The analysis is presented in a paper, which at the time of publication of this data set is undergoing evaluation for publication.</p>
Fig. 5 in Circulation Pathways Of Trematodes Of Freshwater Gastropod Mollusks In Forest Biocenoses Of The Ukrainian Polissia
Fig. 5. The ratio of studied trematode species according to the classes of definitive hosts.
Fig. 4 in Circulation Pathways Of Trematodes Of Freshwater Gastropod Mollusks In Forest Biocenoses Of The Ukrainian Polissia
Fig. 4. Four-host life cycles of trematodes.
Fig. 1 in Circulation Pathways Of Trematodes Of Freshwater Gastropod Mollusks In Forest Biocenoses Of The Ukrainian Polissia
Fig. 1. Points — location of mollusc collection sites (ponds of Ukrainian Polissia).
Quantification of thermal impacts across freshwater life stages to improve temperature management for anadromous salmonids
<p>Water temperature is the major controlling factor that shapes the physiology, behavior, and ultimately, survival of aquatic ectotherms. Here we examine temperature effects on the survival of Chinook salmon (<em>Oncorhynchus tshawytscha</em>), a species of high economic and conservation importance. We implement a framework to assess how incremental changes in temperature impact survival across populations that is based on thermal performance models for three freshwater life stages of Chinook salmon. These temperature-dependent models were combined with local spatial distribution and phenology data to translate spatial-temporal stream temperature data into maps of life stage-specific physiological performance in space and time. Specifically, we converted temperature-dependent performance (i.e., energy used by pre-spawned adults, mortality of incubating embryos, and juvenile growth rate) into a common currency that measures survival in order to compare thermal effects across life stages. Based on temperature data from two abnormally warm and dry years for three managed rivers in the Central Valley, California, temperature-dependent mortality during pre-spawning holding was higher than embryonic mortality or juvenile mortality prior to smolting. However, we found that local phenology and spatial distribution helped to mitigate negative thermal impacts. In a theoretical application, we showed that high temperatures may inhibit successful reintroduction of threatened Central Valley spring-run Chinook salmon to two rivers where they have been extirpated. To increase Chinook salmon population sizes, especially for the threatened and declining spring-run, our results indicate that adults may need more cold-water holding habitat than currently available in order to reduce pre-spawning mortality stemming from high temperatures. To conclude, our framework is an effective way to calculate thermal impacts on multiple salmonid populations and life stages within a river over time, providing local managers the information to minimize negative thermal impacts on salmonid populations, particularly important during years when cold-water resources are scarce.</p>
Fig. 1 in Symbiont Fauna Of Freshwater Zooplankton In Several Water Bodies Of The Dnipro River Basin
Fig. 1. Symbionts of fresh-water zooplankton: A — abdomen with zoo-
Fig. 2 in Distribution Of The Freshwater Snail Species Fagotia (Gastropoda, Melanopsidae) In Ukraine According To Climatic Factors. I. Fagotia Esperi
Fig. 2. Response curve of the mean temperature of the driest quater (bio 9).
Data for: Size spectrum model reveals importance of considering species interactions in a freshwater fisheries management context
<p>Inland fisheries have significant cultural and economic value around the globe, providing dietary protein, income, and recreation. Consequently, methods for monitoring and managing these important fisheries are continually being refined. In marine systems, multi-species size spectrum models have been increasingly used to explore management scenarios of important fish stocks within an ecosystem-based fisheries management framework; however, these models have not been applied in freshwater systems. In this study, we developed a multi-species size spectrum model for the fish community of Lake Nipissing, a large, productive lake in Ontario, Canada. To the best of our knowledge, this is the first fully calibrated multi-species size spectrum model for an inland fishery. Using this model, we explored the impacts of different management scenarios on fish community dynamics while taking species interactions into account. Specifically, we examined how changes in fishing mortality affect: (1) species biomass; (2) community size structure; and (3) stock recovery times. We found that community dynamics following changes in fishing mortality were driven by complex interactions among species, including competition and predation. The greatest changes in biomass and community size structure were observed following changes in fishing mortality to top predators, with community size structure most strongly influenced by changes in mortality to the largest species in the community. Counter to predictions based on generation time, the smallest species in our model exhibited the longest time to recovery due to strong competition and predation. Our results demonstrate the importance of taking an ecosystem-based approach and considering species interactions in the management of inland fisheries and highlight the potential of size spectrum model use in freshwater systems.</p>
Data from: Condition-dependent immune function in a freshwater snail revealed by stable isotopes
<p>Data are saved as a tab-delimited text file (data.txt). Each row represents one snail individual.</p> <p> </p> <p>The file has the following columns:</p> <p>infection - trematode infection (0 = no, 1 = yes)</p> <p>PO_activity - PO-like activity of haemolymph</p> <p>antibacterial_activity - antibacterial activity of haemolymph</p> <p>shell_length - shell length (mm)</p> <p>faeces - amount of produced faeces (mg)</p> <p>d15N_faeces - δ<sup>15</sup>N value of faeces</p> <p>d13C_faeces - δ<sup>13</sup>C value of faeces</p> <p>C:N_faeces - C:N ration of faeces</p> <p>d15N_tissue - δ<sup>15</sup>N value of tissue</p> <p>d13C_tissue - δ<sup>13</sup>C value of tissue</p> <p>C:N_tissue - C:N ration of tissue</p>
Data from: Freshwater ecological quality assessment of the gold mining Mashcon watershed, Cajamarca - Peru
<p>These data were generated to investigate the aquatic community gradients across different types of anthropogenic impacts (reference, mining, rural and urban) and Andean environmental gradients (headwaters, midstream and downstream) in the Mashcon watershed. </p> <p>The macroinvertebrates' taxa abundance and abundance of traits modalities serve as biological values. The latter in combination with abiotic measurements of the freshwater habitats (i.e. physicochemical water quality and hydromorphology) constitute the ecological data.</p> <p>The values were obtained from river sediments (macroinvertebrates collection), water samples for laboratory analyses, field protocols and in-situ water quality measurements at 40 sites, wherein 6 were downstream of the gold mine's artificially recharged headwaters, 8 sites at near-pristine headwaters tributary streams, 14 sites at midstream rural areas and 12 sites at downstream urban areas (sample grouping information is shown in the Field_protocol.xlsx file).</p>
Freshwater floodplain habitats buffer native food webs from negative effects of non-native centrarchids and bullfrogs
<p>Species introductions are common in freshwater environments, with the potential to transform community and ecosystem structure. Predatory fishes and American bullfrogs (<em>Rana catesbeiana</em> = <em>Lithobates catesbeianus</em>) are both widespread aquatic invaders implicated in native amphibian declines. In lowland ecosystems, co-occurrence between native and non-native fishes and larval amphibians appears more common than in high-elevation ecosystems, though community interactions there are poorly studied. In this study, we used stable isotope analysis of carbon (δ<sup>13</sup>C) and nitrogen (δ<sup>15</sup>N) to examine native fish and amphibian trophic structure in lowland, floodplain waterbodies with and without non-native centrarchid fishes and bullfrogs. In the presence of non-native taxa, three-spine stickleback (<em><span>Gasterosteus aculeatus</span></em>), two native salamander larvae, and one of two native frog species shifted their food resources and/or fed lower on the food web, with only one species exhibiting a decline in niche size. The observed trophic shifts reflect changes in habitat and/or food resources, which may reduce competition or predation, and promote co-occurrence. Collectively, our study suggests that the co-occurrence of native and non-native amphibians and fishes in lowland, floodplain habitats may be facilitated by broad food resource availability and complex habitat structure.</p>
Parasitism dramatically alters the ecosystem services provided by freshwater mussels
<p>Parasites can indirectly affect ecosystem function by altering host phenotype, but the trait-mediated impacts of parasitism at an ecosystem level remain poorly characterised. However, understanding the influence of parasites is central to understanding the ecosystem services provided by host species, especially in an era of global environmental change.</p> <p>We examined the effect of native (the trematode <em>Rhipidocotyle campanula</em>) and invasive (the bitterling fish <em>Rhodeus amarus</em>) parasites, and their interaction, on the clearance rates of unionid mussels, a dominant ecosystem-engineering group that modifies freshwater ecosystems worldwide. We used a combination of field experiments, laboratory experiments, and ecological simulations to demonstrate the phenotypic impact of parasites on the functional response of two mussel species across an environmental gradient (suspended particle concentration), and extended this with host and parasite community data to demonstrate the consequences for a real-world ecosystem, the Old West River in Cambridgeshire, England.</p> <p>Both parasites altered the clearance rates of their hosts but in contrasting fashion: while <em>R. campanula</em> increased host clearance rates relative to uninfected conspecifics under all conditions, <em>R. amarus</em> suppressed clearance rates at high suspended particle concentrations (eutrophic conditions) but elevated them otherwise. The parasites displayed different infection patterns in the two host species, and the invasive <em>R. amarus</em> rarely co-infects mussels with <em>R. campanula</em>.</p> <p>Given their disparate effects, the parasites' distributions reversed the relative filtration capacity of the two host species under high vs. low concentrations of suspended particles, demonstrating how differences between the infection patterns of native and invasive parasites, as well as their individual effects, need to be considered. Overall, the proportion of daily river discharge filtered by the combined mussel community changed by up to 96% in the presence of parasites. By incorporating multiple host species and multiple parasite species, we provide ecologically relevant evidence for the trait-mediated effects of parasites on ecosystem processes.</p> <p>Our study demonstrates that parasitism can significantly alter wider ecosystem processes by changing the phenotype of their host. Future work on ecosystem function should take parasitism into account, and consider both trait-mediated and density-mediated effects.</p>
Marbled Murrelets prefer stratified waters close to freshwater inputs in Haida Gwaii, BC, Canada
<p>The Marbled Murrelet (Brachyramphus marmoratus) is a small seabird that is currently listed as threatened in Canada. Understanding this species' marine habitat preferences plays a vital role in our ability to focus conservation planning. We used the longest-running at-sea survey dataset available in British Columbia to examine hotspot persistence and habitat use at Laskeek Bay, Haida Gwaii, BC. The Laskeek Bay Conservation Society has been conducting spring and summer surveys along fixed transect routes in open and shoreline waters from 1997‒2018. Along with analyzing this long-term dataset, we conducted surveys to measure oceanographic variables (2018–2019) and tested whether murrelets in the same area used prey and oceanographic information to select marine habitat in conjunction with physical habitat features. Our hotspot persistence map, defined as areas that repeatedly had counts above a 75% threshold relative to other areas during a given survey, showed that murrelets consistently preferred shoreline transects. Murrelets also preferred shallow marine areas closer to streams, above higher proportions of sandy substrate and closer proximity to abundant nesting habitat. Modeling weather and time variables contributed little additional predictive power. Nonetheless, models that included physical environmental, oceanographic, and prey variables outperformed those with only physical environmental variables. Stratified water was the oceanographic variable most strongly related to higher counts. Our study suggests that stratified waters could work with stream systems to create productive zones for foraging murrelets, and highlights the importance of murrelets having access to marine areas with the preferred physical features. </p>
Monitoring genetic diversity with new indicators applied to an alpine freshwater top predator
<p><span>Genetic diversity is the basis for population adaptation and long-term survival, yet rarely considered in biodiversity monitoring. One key issue is the need for useful and straightforward indicators of genetic diversity. We monitored genetic diversity over 40 years (1970-2010) in metapopulations of brown trout (Salmo trutta) inhabiting 27 small mountain lakes representing 10 lake systems in central Sweden using >1200 fish per time point. We tested six newly proposed indicators; three were designed for broad, international use in the UN Convention on Biological Diversity (CBD and are currently applied in several countries. The other three were recently elaborated for national use by a Swedish science-management effort and applied for the first time here. The Swedish indicators use molecular genetic data to monitor genetic diversity within and between populations (indicators ΔH and ΔFST, respectively) and assess the effective population size (Ne-indicator). We identified 29 genetically distinct populations, all retained over time. Twelve of the 27 lakes harbored more than one population indicating that brown trout biodiversity hidden as cryptic, sympatric populations are more common than recognized. The Ne indicator showed values below the threshold (Ne≤500) in 20 populations with five showing Ne<100. Statistically significant genetic diversity reductions occurred in several populations. Metapopulation structure appears to buffer against diversity loss; applying the indicators to metapopulations suggest mostly acceptable rates of change in all but one system. The CBD indicators agreed with the Swedish ones but provided less detail. All these indicators are appropriate for managers to initiate monitoring of genetic biodiversity.</span></p>
High levels of inbreeding with spatial and host-associated structure in lice of an endangered freshwater seal
<p>Host-specialist parasites of endangered large vertebrates are in many cases more endangered than their hosts. In particular, low host population densities and reduced among-host transmission rates are expected to lead to inbreeding within parasite infrapopulations living on single host individuals. Furthermore, spatial population structures of directly-transmitted parasites should be concordant with those of their hosts. Using population genomic approaches, we investigated inbreeding and population structure in a host-specialist seal louse (<em>Echinophthirius horridus</em>) infesting the Saimaa ringed seal (<em>Phoca hispida saimensis</em>), which is endemic to Lake Saimaa in Finland and is one of the most endangered pinnipeds in the world. We conducted genome resequencing of pairs of lice collected from 18 individual Saimaa ringed seals throughout the Lake Saimaa complex. Our analyses showed high genetic similarity and inbreeding between lice inhabiting the same individual seal host, indicating low among-host transmission rates. Across the lake, genetic differentiation among individual lice was correlated with their geographic distance, and assignment analyses revealed a marked break in the genetic variation of the lice in the middle of the lake, indicating substantial population structure. These findings indicate that movements of Saimaa ringed seals across the main breeding areas of the fragmented Lake Saimaa complex may in fact be more restricted than suggested by previous population-genetic analyses of the seals themselves.</p>
Intraspecific trait variation alters the outcome of competition in freshwater ciliates
<p>Trait variation among heterospecific and conspecific organisms may substantially affect community and food web dynamics. While the relevance of competition and feeding traits have been widely studied for different consumer species, studies on intraspecific differences are more scarce, partly owing to difficulties in distinguishing different clones of the same species. Here, we investigate how intraspecific trait variation affects the competition between the freshwater ciliates <i>Euplotes octocarinatus</i> and <i>Coleps hirtus</i> in a nitrogen-limited chemostat system. The ciliates competed for the microalgae <i>Cryptomonas</i> sp. (<i>Cry</i>) and <i>Navicula pelliculosa</i> (<i>Nav</i>), and the bacteria present in the cultures over a period of 33 days. We used monoclonal <i>Euplotes</i> and three different <i>Coleps</i> clones (<i>Col</i> 1, <i>Col</i> 2, <i>Col</i> 3) in the experiment that could be distinguished by a newly developed rDNA-based molecular assay based on the internal transcribed spacer (ITS) regions. While <i>Euplotes</i> feeds on <i>Cry</i> and on bacteria, the <i>Coleps</i> clones cannot survive on bacteria alone but feed on both <i>Cry</i> and <i>Nav</i> with clone-specific rates. Experimental treatments comprised two-species mixtures of <i>Euplotes</i> and one or all of the three different <i>Coleps</i> clones, respectively. We found intraspecific variation in the traits "selectivity" and "maximum ingestion rate" for the different algae to significantly affect the competitive outcome between the two ciliate species. As <i>Nav</i> quickly escaped top-down control and likely reached a state of low food quality, ciliate competition was strongly determined by the preference of different <i>Coleps</i> clones for <i>Cry</i> as opposed to feeding on <i>Nav</i>. In addition, the ability of <i>Euplotes</i> to use bacteria as an alternative food source strengthened its persistence once <i>Cry</i> was depleted. Hence, trait variation at both trophic levels co-determined the population dynamics and the outcome of species competition. --</p>
Prey naiveté alters the balance of consumptive and non-consumptive predator effects and shapes trophic cascades in freshwater plankton
<p><span>Predators drive trophic cascades by reducing prey biomass and altering prey traits, selecting for prey that exhibit constitutive and induced anti-predator defenses that decrease susceptibility to consumption. These defense traits are often costly, generating a tradeoff between consumptive (CEs) and non-consumptive predator effects (NCEs). The ecological and evolutionary experience that prey share with a given predator may determine their position along this tradeoff curve, affecting the nature and strength of top-down control of ecosystems. Conceptual models predict that predator-experienced prey suffer greater NCEs than predator-naive prey, which suffer stronger CEs and total predator effects (CEs + NCEs), but this has not been tested in diverse prey communities. We tested these predictions by comparing the effects of predation (CEs + NCEs) and predation risk (NCEs only) of planktivorous fish on food web structure in pond mesocosms with diverse natural communities of either predator-naive or predator-experienced zooplankton. Contrary to expectations, top-down control of zooplankton and phytoplankton biomass was strengthened by prey community experience: in systems with experienced relative to naive zooplankton communities both predation risk (NCEs only) and predation (CEs + NCEs) had stronger effects on zooplankton prey biomass and trophic cascades were twice as strong. These results show that the ecological and evolutionary experience of diverse prey communities alters the balance of consumptive and non-consumptive predator effects and influences trophic cascade strength.</span></p>
Assessing the conservation priority of freshwater lake sites based on taxonomic, functional and environmental uniqueness
<p><strong>Aim: </strong>We propose a novel approach that considers taxonomic uniqueness, functional uniqueness and environmental uniqueness, and show how it can be used in guiding conservation planning. We illustrate the approach using data for lake biota and environment.</p> <p><strong>Location: </strong>Lake Puruvesi, Finland.</p> <p><strong>Methods: </strong>We sampled macrophytes and macroinvertebrates from the same 18 littoral sites. By adapting the original 'ecological uniqueness' approach, we used distance‒based methods to calculate measures of taxonomic (LCBD‒t), functional (LCBD‒f) and environmental (LCEH) uniqueness for each site. We also considered the numbers and locations of the sites needed to protect up to 70% of total variation in taxonomic, functional or environmental features in the studied part of the lake.</p> <p><strong>Results: </strong>Relationships between taxonomic (LCBD‒t), functional (LCBD‒f) and environmental (LCEH) uniqueness were generally weak, and only the relationship between macrophyte LCBD‒t and LCBD‒f was statistically significant. Overall, however, if the whole biotic dataset was considered, macroinvertebrate LCBD‒f values showed a consistent positive relationship with macrophyte LCBD‒f. Depending on the measure of site uniqueness, between one third to one half of the sites could help protect up to 70% of the ecological uniqueness of the studied part of Lake Puruvesi.</p> <p><strong>Main conclusions: </strong>Although the dataset examined originated from a large lake system, the approach we proposed here can be applied in different ecosystems and at various spatial scales. An important consideration is that a set of sites has been sampled using the same methods, resulting in species and environmental matrices that can be analysed using the methodological approach proposed here. This framework can be easily applied to grid‒based data, sets of islands, or sets of forest fragments. We suggest that the approach based on taxonomic, functional and environmental uniqueness will be a useful tool in guiding nature conservation and ecosystem management, especially if associated with meta‒system ideas or network thinking.</p>
Tracking freshwater browning and coastal water darkening from boreal forests to the Arctic Ocean
<p></p> <p class="MsoNormal"><span>The forest cover of Northern Europe has been steadily expanding during the last 120 years. More terrestrial vegetation and carbon fixation leads to more export to surface waters. This may cause freshwater browning, as more degraded plant-litter ends up as chromophoric (coloured) dissolved organic matter. Although most freshwater ultimately drains to coastal waters, the link between freshwater browning and coastal water darkening is poorly understood. Here, we explore this relationship through a combination of centennial records of forest and coastal water clarity, contemporary optical measurements in lakes and coastal waters, as well as an ocean drift model. We suggest a link between forest cover in Northern Europe and coastal water clarity in the Baltic, Kattegat and Skagerrak Sea and show how brown coloured freshwater from Northern European catchments can dictate coastal water clarity across thousands of kilometres, from the Baltic lakes to the Barents Sea.</span></p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.