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Macroscopic, histological and stereological image dataset of the Striped red mullet (Mullus surmuletus) ovaries from the English Channel (ICES area 27.7.d) stock
<p><strong>Contents: </strong></p> <p>This dataset can be completed with the : <strong>Macroscopic, histological and stereological image dataset of the Striped red mullet (<em>Mullus surmuletus</em>) ovaries from the Bay of Biscay (ICES area 27.7.g,j & 27.8.a-c) stock</strong>, which can also be found on the Zenodo repository.</p> <p>This dataset contains the macroscopic and histological images of the ovaries of 214 Striped red mullet (female, <em>Mullus surmuletus</em>, Linnaeus 1758) collected from the English Channel stock (ICES area 27.7.d) in February 2021 (n=20), March 2021 (n=13), April 2021 (n=12), May 2021 (n=15), August 2021 (n=15), September 2021 (n=15), October 2021 (n=41), November 2021 (n=10), December 2021 (n=14), January 2022 (n=30), February 2022 (n=15) and August 2022 (n=14).</p> <p> </p> <p><strong>Images:</strong></p> <ul> <li><strong>Macroscopic_pictures.zip: </strong>archive in zip format of 621 pictures (.JPG; 2Mo-8Mo; JPG; 350pp) from 211 female Striped red mullets dissected during this study. Each photo was taken with a digital camera (no flash). For each individual, up to three pictures were taken when possible (Le Meleder <em>et al.</em>, 2022) with : <ul> <li>one picture of the entire fish with its abdominal cavity open with the ovaries in view</li> <li>one picture of the whole fish with the ovaries outside of the abdominal cavity</li> <li>one picture of the ovaries</li> <li>the name of the picture is the same as the fish’s ID number.</li> </ul> </li> </ul> <ul> <li><strong>Histology_slides.zip :</strong> archive in zip format containing the ovarian histological slides digitized using an Olympus V120 slide scanner, x20 lens. The pictures (.vsi from the OlympusVSI format) are of the 484 histological slides acquired during this study.</li> <li>Data was split for smaller size downloads : <ul> <li><strong>Histology_slides_1of5 :</strong> histological sections for individuals numbered 001 to 045</li> <li><strong>Histology_slides_2of5 :</strong> histological sections for individuals numbered 046 to 138</li> <li><strong>Histology_slides_3of5 :</strong> histological sections for individuals numbered 154 to 180</li> <li><strong>Histology_slides_4of5 :</strong> histological sections for individuals numbered 196 to 270</li> <li><strong>Histology_slides_5of5 :</strong> histological sections for individuals numbered 271 to 334</li> </ul> </li> </ul> <p> </p> <p><strong>Data:</strong></p> <ul> <li><strong>Readings.zip :</strong> archive in zip format containing the stereology reading results of the ovarian histological slides. In this folder, three directories are available. <ul> <li><strong>Calibration</strong> : Reading results of 4 different agents, with the first and last readings, as well as the Qupath scripts used.</li> <li><strong>Homogeneity</strong> : Reading results for 96 histological slides used to check the cellular homogeneity inter- and intra-gonad. These 96 slides belong to 16 fish, with three histological samples taken in the anterior (1), median (2) and posterior (3) sections of the left (G) and right (D) ovaries. A QuPath folder is also present, containing the scripts used.</li> <li><strong>Total </strong>: Reading results for 214 ovarian histological slides of the median position of either the left or right ovary. One median slide was read per sampled fish. A QuPath folder is also present, containing the scripts used.</li> </ul> </li> </ul> <ul> <li><strong>Macro_MULL_read_me.txt</strong> : a text file (.txt) listing the acronyms used in the <strong>Macro_MULL.xlsx</strong> file, as well as their meaning.</li> <li><strong>Macro_MULL.xlsx</strong> : Excel file (.xlsx) containing measurements of macroscopic parameters for all 214 fish sampled during this study. The information contained in this table is as follows: <ul> <li>Fish_id: identification of the fish. This id is identical to the name given to the pictures of the full ovaries (<strong>Macroscopic_pictures_Data</strong>)</li> <li>ICES _Division: International Council for the Exploration of the Sea (ICES) division where the fish was sampled in the Food and agricultural Organization of the United nations (FAO) fishing area 27</li> <li>ICES_statistical_rectangle : Statistical rectangle where the fish was sampled within the FAO fishing area 27</li> <li>Date: date the fish was caught (dd/mm/yyyy)</li> <li>Total_fish_length: total length of the fish (cm)</li> <li>Ungutted_fish_weight: total weight of the fish (g)</li> <li>Otolith_ID: unique identification number given to each sampled fish through the Imagine (Ellebode <em>et al.</em>, 2022) software used by IFREMER</li> <li>Parasite: presence (Y) or absence (N) of parasite in or on the fish</li> <li>age: age (in years) of the fish after analysis of the fish’s otolith. The IFREMER laboratory of Boulogne-sur-Mer (FRANCE) executed this analysis</li> <li>Visual_maturity : visually estimated maturity, after observation macroscopic criteria of the fish’s gonad with the naked eye, following the WKASMSF (ICES, 2018) scale</li> <li>Liver_weight: liver weight (g)</li> <li>Droite_gonad_weight : gonad weight (g) of right ovary</li> <li>Gauche_gonad_weight : gonad weight (g) of left ovary</li> <li>Sections: number of cross sections sampled for the individual</li> </ul> </li> </ul> <ul> <li><strong>Stereo_MULL_read_me.txt</strong> : a text file (.txt) listing the acronyms used in the <strong>Stereo_MULL.csv</strong> file, as well as their meaning.</li> <li><strong>Stereo_MULL.csv</strong> : a text data file (.csv) of the stereology count results of 294 slides read during this study. Among these slides, 96 were read to test the homogeneity distribution of different cell types found throughout each ovary (16 fish with 6 histological sections : a median, an anterior and a posterior histological section, for both ovaries), slides were read by multiple agents for calibration purposes (see <strong>Calibration</strong> folder for reading results of the 4 agents). Finally, 214 median histological ovarian slides were read. The information contained in this table is as follows: <ul> <li>cell_type: structure identified for one sample point (for the abbreviations, see Heude-Berthelin <em>et al.</em> 2023)</li> <li>idpt: identification number of the sampling point</li> <li>id: unique complex identification number of the sampling point generated by combining the x and y coordinates</li> <li>x: x coordinate of the sampling point</li> <li>y: y coordinate of the sampling point</li> <li>reading: Indicates if the reading data was used to test cellular homogeneity (Homogeneity) or to the sexual maturity phase</li> <li>slideid: identification number of the digitized histological slide that was used for the stereological count. Shares the same 12 first characters with <strong>Fish_id</strong></li> </ul> </li> </ul>
Macroscopic, histological and stereological image dataset of the Striped red mullet (Mullus surmuletus) ovaries from the Bay of Biscay (ICES area 27.7.g,j & 27.8.a-c) stock
<p><strong>Contents: </strong></p> <p>This dataset can be completed with the : <strong>Macroscopic, histological and stereological image dataset of the Striped red mullet (<em>Mullus surmuletus</em>) ovaries from the English Channel (ICES area 27.7.d) stock</strong>, which can also be found on the Zenodo repository.</p> <p>This dataset contains the macroscopic and histological images of the ovaries of 103 Striped red mullet (female, <em>Mullus surmuletus</em>, Linnaeus 1758) collected from the Bay of Biscay stock (ICES areas 27.7.j,g & 27.8.a-c) in November 2020 (n=9), May 2021 (n=11), June 2021(n=7), July 2021 (n=15), September (n=15), October 2021 (n=3), November 2021 (n=27) and February 2022 (n=15).</p> <p> </p> <p><strong>Images:</strong></p> <ul> <li><strong>Macroscopic_pictures.zip: </strong>archive in zip format of 290 pictures (.JPG; 2Mo-8Mo; JPG; 350pp) from 103 female Striped red mullets dissected during this study. Each photo was taken with a digital camera (no flash). For each individual, up to three pictures were taken when possible (Le Meleder <em>et al.</em>, 2022) with : <ul> <li>one picture of the entire fish with its abdominal cavity open with the ovaries in view</li> <li>one picture of the whole fish with the ovaries outside of the abdominal cavity</li> <li>one picture of the ovaries</li> <li>the name of the picture is the same as the fish’s ID number.</li> </ul> </li> </ul> <ul> <li><strong>Histology_slides.zip:</strong> archive in zip format containing the ovarian histological slides digitized using an Olympus V120 slide scanner, x20 lens. The pictures (.vsi from the OlympusVSI format) are of the 264 histological slides acquired during this study. Data was split for smaller size downloads : <ul> <li><strong>Histology_slides_1of3 :</strong> histological sections for individuals numbered 062 to 094</li> <li><strong>Histology_slides_2of3 :</strong> histological sections for individuals numbered 100 to 250</li> <li><strong>Histology_slides_3of3 :</strong> histological sections for individuals numbered 290 to 304</li> </ul> </li> </ul> <p> </p> <p><strong>Data:</strong></p> <ul> <li><strong>Readings.zip:</strong> archive in zip format containing the stereology reading results of the ovarian histological slides. In this folder, three directories are available. <ul> <li><strong>Calibration </strong>: Reading results of 4 different agents, with the first and last readings, as well as the Qupath scripts used<strong>.</strong></li> <li><strong>Homogeneity</strong> : Reading results for 84 histological slides used to check the cellular homogeneity inter- and intra-gonad. These 84 slides belong to 14 fish, with three histological samples taken in the anterior (1), median (2) and posterior (3) sections of the left (G) and right (D) ovaries. A QuPath folder is also present, containing the scripts used.</li> <li><strong>Total</strong> : Reading results for 103 ovarian histological slides of the median position of either the left or right ovary. One median slide was read per sampled fish. A QuPath folder is also present, containing the scripts used.</li> </ul> </li> </ul> <ul> <li><strong>Macro_MULL_read_me.txt</strong> : a text file (.txt) listing the acronyms used in the <strong>Macro_MULL.xlsx</strong> file, as well as their meaning.</li> <li><strong>Macro_MULL.xlsx</strong> : Excel file (.xlsx) containing measurements of macroscopic parameters for all 103 fish sampled during this study. The information contained in this table is as follows: <ul> <li>Fish_id: identification of the fish. This id is identical to the name given to the pictures of the full ovaries (<strong>Macroscopic_pictures_Data</strong>)</li> <li>ICES _Division: International Council for the Exploration of the Sea (ICES) division where the fish was sampled in the Food and agricultural Organization of the United nations (FAO) fishing area 27</li> <li>ICES_statistical_rectangle : Statistical rectangle where the fish was sampled within the FAO fishing area 27</li> <li>Date: date the fish was caught (dd/mm/yyyy)</li> <li>Total_fish_length: total length of the fish (cm)</li> <li>Ungutted_fish_weight: total weight of the fish (g)</li> <li>Otolith_ID: unique identification number given to each sampled fish through the Imagine (Ellebode <em>et al.</em>, 2022) software used by IFREMER</li> <li>Parasite: presence (Y) or absence (N) of parasite in or on the fish</li> <li>age: age (in years) of the fish after analysis of the fish’s otolith. The IFREMER laboratory of Boulogne-sur-Mer (FRANCE) executed this analysis</li> <li>Visual_maturity : visually estimated maturity, after observation macroscopic criteria of the fish’s gonad with the naked eye, following the WKASMSF (ICES, 2018) scale</li> <li>Liver_weight: liver weight (g)</li> <li>Droite_gonad_weight : gonad weight (g) of right ovary</li> <li>Gauche_gonad_weight : gonad weight (g) of left ovary</li> <li>Sections: number of cross sections sampled for the individual</li> </ul> </li> </ul> <ul> <li><strong>Stereo_MULL_read_me.txt</strong> : a text file (.txt) listing the acronyms used in the <strong>Stereo_MULL.csv</strong> file, as well as their meaning.</li> <li><strong>Stereo_MULL.csv</strong> : a text data file (.csv) of the stereology count results of 173 slides read during this study. Among these slides, 84 were read to test the homogeneity distribution of different cell types found throughout each ovary (14 fish with 6 histological sections : a median, an anterior and a posterior histological section, for both ovaries), slides were read by multiple agents for calibration purposes (see <strong>Calibration</strong> folder for reading results of the 4 agents). Finally, 103 median histological ovarian slides were read. The information contained in this table is as follows: <ul> <li>cell_type: structure identified for one sample point (for the abbreviations, see Heude-Berthelin <em>et al.</em> 2023)</li> <li>idpt: identification number of the sampling point</li> <li>id: unique complex identification number of the sampling point generated by combining the x and y coordinates</li> <li>x: x coordinate of the sampling point</li> <li>y: y coordinate of the sampling point</li> <li>reading: Indicates if the reading data was used to test cellular homogeneity (Homogeneity) or to the sexual maturity phase</li> <li>slideid: identification number of the digitized histological slide that was used for the stereological count. Shares the same 12 first characters with <strong>Fish_id</strong></li> </ul> </li> </ul>
Don't put all your eggs in one leaf-roll: a network analysis of candy-striped spider leaf preferences for egg deposition
<p>"Enoplognatha leaf choice.R" - R script for all analyses and figures for the manuscript.</p> <p>"Enop_LeafENNR_EnopChoice.csv" - Interaction matrix showing the leaves selected by each individual candy-striped spider.</p> <p>"Enop_LeafENNR_PlantComm.csv" - Proportional plant community composition in each quadrat within which candy-striped spiders were found.</p> <p>"Enop_LeafTSENNR_EnopChoice.csv" - Interaction matrix showing the tropho-species selected by each individual candy-striped spider.</p> <p>"Enop_LeafENNR_PlantComm.csv" - Proportional plant tropho-species community composition in each quadrat within which candy-striped spiders were found.</p> <p>"Enop_SNRENNR_EnopChoice.csv" - Interaction matrix showing the semi-natural habitats selected by each individual candy-striped spider.</p> <p>"Enop_SNRENNR_SNRs.csv" - Matrix equally representing the semi-natural habitats as the number of quadrats surveyed in each.</p> <p>"Leaf traits.csv" - The leaf trait data used to cluster leaves into tropho-species.</p> <p>"leaf.incidence.csv" - The number of candy-striped spiders that interacted with each plant species for assessment of interaction diversity and completeness.</p> <p>"Site Map.csv" - Latitude and longitude of the ten sampling sites used in this study.</p> <p>"TS plotting order.csv" - A file used to set the plotting order of tropho-species in a bipartite plot.</p>
Vortices and vortex stripes in a dipolar Bose-Einstein condensate
<p>Quantized vortices are a prototypical feature of superfluidity that have been observed in multiple quantum gas experiments. But the occurrence of vortices in dipolar quantum gases — a class of ultracold gases characterized by long-range anisotropic interactions — has not been reported yet. Here, we exploit the anisotropic nature of the dipole-dipole interaction of a dysprosium Bose-Einstein condensate to induce angular symmetry breaking in an otherwise cylindrically symmetric pancake-shaped trap. Tilting the magnetic field towards the radial plane deforms the cloud into an ellipsoid, which is then set into rotation. At stirring frequencies approaching the radial trap frequency, we observe the generation of dynamically unstable surface excitations, which cause angular momentum to be pumped into the system through vortices. Under continuous rotation, the vortices arrange into a stripe configuration along the field, in close agreement with numerical simulations.</p>
Striped venus clam (Chamelea gallina) abundance, size, and biomass off Bevano River mouth (2019)
<p>This dataset provides the abundance (ind. m<sup>-2</sup>) of the striped venus clams, <em>Chamelea gallina</em> (Linnaeus, 1758), at 71 random sampling points (Fig. 3) from 0.5 to 8 m depth along the coast (5 km) off the NATURA 2000 site IT4070009 "Ortazzo, Ortazzino e Foce del Torrente Bevano", sampled from 22 May to 4 July, 2019. Where available, the mean and standard deviation of shell length (i.e. the maximum distance between anterior and posterior margins) of <em>Chamelea gallina </em>determined to the nearest 0.01 mm using a manual calliper, and the wet biomass per square metre (g m<sup>-2</sup>), estimated on the basis of the mean shell length, by length–weight relationship (according to <a href="https://doi.org/10.1080/24750263.2019.1668066">Petetta et al., 2019</a>), were provided. Depth, sediment grain size, and organic matter at each point are also provided. </p> <p>The dataset is provided in three formats: </p> <ul> <li>Microsoft Excel XLSX file, including 3 sheets (Dataset, Fields and units, Parameters) </li> <li>CSV files (UTF-8), 3 files corresponding to the 3 sheets of the Excel file </li> <li>ESRI Shapefile (UTF-8, geometry point, EPSG:4326 - WGS 84)</li> </ul> <p> </p> <p>The dataset includes 71 records, one for each sampling point, and 17 fields, which are described in the Excel sheet/CSV file “Fields and units” (see also Table 6). The Excel sheet/CSV file provides details and coefficients of the length–weight relationship (log W= log a + b log L; where: W=wet weight (g), L=length (mm), Log base=10) used to estimate the wet biomass from the mean lengths and abundances (the calculation formulas are present in the Excel sheet).</p> <p>Finally, ESRI Shapefile provides users with direct upload in any Geographic Information System (GIS). Nevertheless, due to this file format limitations, dataset field names have been truncated and/or renamed to fit 10 characters.</p> <p>Fields in the dataset (NA=not available).</p> <table> <thead> <tr> <th scope="col"> <p><strong>Field</strong></p> </th> <th scope="col"> <p><strong>Darwin Core term</strong></p> </th> <th scope="col"> <p><strong>Unit</strong></p> </th> <th scope="col"> <p><strong>Precision</strong></p> </th> <th scope="col"> <p><strong>Note</strong></p> </th> </tr> </thead> <tbody> <tr> <td> <p>locationID</p> </td> <td> <p>locationID</p> </td> <td> <p>NA</p> </td> <td> <p>NA</p> </td> <td> <p>Sampling location identifier (ID) specific to the data set</p> </td> </tr> <tr> <td> <p>samplingDate</p> </td> <td> <p>eventDate</p> </td> <td> <p>YYYY-MM-DD</p> </td> <td> <p>NA</p> </td> <td> <p>Conforms to ISO 8601-1:2019</p> </td> </tr> <tr> <td> <p>samplingTime</p> </td> <td> <p>eventTime</p> </td> <td> <p>HH:MM</p> </td> <td> <p>± 10 min</p> </td> <td> <p>Central European Summer Time CEST (UTC+2) conforms to ISO 8601-1:2019</p> </td> </tr> <tr> <td> <p>decimalLatitude</p> </td> <td> <p>decimalLatitude</p> </td> <td> <p>decimal degrees</p> </td> <td> <p>± 0.00001</p> </td> <td> <p>WGS84 (EPSG: 4326) - WAAS/EGNOS enabled GPS position</p> </td> </tr> <tr> <td> <p>decimalLongitude</p> </td> <td> <p>decimalLongitude</p> </td> <td> <p>decimal degrees</p> </td> <td> <p>± 0.00001</p> </td> <td> <p>WGS84 (EPSG: 4326) - WAAS/EGNOS enabled GPS position</p> </td> </tr> <tr> <td> <p>Depth</p> </td> <td> <p>maximumDepthInMeters</p> </td> <td> <p>m</p> </td> <td> <p>± 0.1</p> </td> <td> <p>Mean Lower Low Water - measured with echosounder or depth gauge corrected by tide gauge of Porto Corsini (RA)</p> </td> </tr> <tr> <td> <p>SamplingGear</p> </td> <td> <p>NA</p> </td> <td> <p>NA</p> </td> <td> <p>NA</p> </td> <td> <p>Van Veen grab operated from boat or bailer manually operated by diver inside a cylindrical frame</p> </td> </tr> <tr> <td> <p>SamplingArea</p> </td> <td> <p>NA</p> </td> <td> <p>m2</p> </td> <td> <p>± 0.001</p> </td> <td> <p>Sampler size</p> </td> </tr> <tr> <td> <p>Mud</p> </td> <td> <p>NA</p> </td> <td> <p>% dry mass</p> </td> <td> <p>± 0.1%</p> </td> <td> <p>Sediment particles <63 µ wet sieved recovered on Whatman filter paper and then dried at 80°C for 24 hours before weighing at ± 0.00001 g</p> </td> </tr> <tr> <td> <p>FineSand</p> </td> <td> <p>NA</p> </td> <td> <p>% dry mass</p> </td> <td> <p>± 0.1%</p> </td> <td> <p>Sediment particles 250-63 µ wet sieved recovered on Whatman filter paper and then dried at 80°C for 24 hours before weighing at ± 0.00001 g</p> </td> </tr> <tr> <td> <p>MediumSand</p> </td> <td> <p>NA</p> </td> <td> <p>% dry mass</p> </td> <td> <p>± 0.1%</p> </td> <td> <p>Sediment particles >250 µ wet sieved recovered on Whatman filter paper and then dried at 80°C for 24 hours before weighing at ± 0.00001 g</p> </td> </tr> <tr> <td> <p>OrganicMatter</p> </td> <td> <p>NA</p> </td> <td> <p>% dry mass</p> </td> <td> <p>± 0.1%</p> </td> <td> <p>Sediment organic matter content obtained by Loss of weight on Ignition (LOI%) at 450°C 8h and weighted at ± 0.00001 g</p> </td> </tr> <tr> <td> <p>Individuals</p> </td> <td> <p>NA</p> </td> <td> <p>ind. sample-1</p> </td> <td> <p>± 1</p> </td> <td> <p>Individuals of <em>Chamelea gallina </em>retrieved in each sample, preserved in alcohol sorted and classified under microscope</p> </td> </tr> <tr> <td> <p>Abundance</p> </td> <td> <p>NA</p> </td> <td> <p>ind. m-2</p> </td> <td> <p>± 10</p> </td> <td> <p>Abundance of <em>Chamelea gallina</em> per square meter estimated on the basis of the sampling area</p> </td> </tr> <tr> <td> <p>MeanLength</p> </td> <td> <p>NA</p> </td> <td> <p>mm</p> </td> <td> <p>± 0.01</p> </td> <td> <p>Mean shell length (i.e. the maximum distance between anterior and posterior margins) of <em>Chamelea gallina</em> determined to the nearest 0.01 mm using a manual calliper</p> </td> </tr> <tr> <td> <p>SDLength</p> </td> <td> <p>NA</p> </td> <td> <p>mm</p> </td> <td> <p>± 0.01</p> </td> <td> <p>Standar deviation of mean shell length of <em>Chamelea gallina</em></p> </td> </tr> <tr> <td> <p>WetMass</p> </td> <td> <p>NA</p> </td> <td> <p>g m-2</p> </td> <td> <p>± 1</p> </td> <td> <p>Wet biomass per square meter of <em>Chamelea gallina</em> estimated on the basis of the mean shell length, by length–weight relationship (according to <a href="https://doi.org/10.1080/24750263.2019.1668066">Petetta et al., 2019</a> DOI:10.1080/24750263.2019.1668066), and abundnce</p> </td> </tr> </tbody> </table> <p> </p> <p>This dataset comes from the project "Characterization of the mouth area of the Bevano River and identification of strategies for the conservation and enhancement of nursery areas for protected species of commercial interest", carried out by the Interdepartmental Research Center for Environmental Sciences (CIRSA) of the Alma Mater Studiorum University of Bologna. The project was financed by the Emilia-Romagna Region (call FLAG Costa dell'Emilia-Romagna 2018) with funds from the European Union (FEAMP 2014/2020, Action 2.A.a, "Marine and lagoon habitats - Studies and research"), and took place from January to August 2019 (<a href="https://doi.org/10.5281/zenodo.4016598">Abbiati et al., 2019</a>). Finally, this dataset has been revised and completed within the project “Ecosystem for Sustainable Transition in Emilia-Romagna” (ECOSISTER, Code: ECS_00000033 - CUP: B33D21019790006).</p> <p> </p>
Counts of tagged striped bass at forty sites throughout Plum Island estuary conducted July-October 2009 using acoustic telemetry.
Manual survey data was collected to measure striped bass distribution in Plum Island Estuary during the time period that they are in New England during their summer foraging migration. Acoustic telemetry was used to tag and track individual fish and provide measures of abundance at sample sites distributed throughout the estuary.
Daily presence of individual tagged striped bass as measured by stationary receiver detections in Plum Island Estuary in 2009
Stationary receiver data was collected to measure striped bass distribution in Plum Island Estuary during the time period that they are in New England during their summer foraging migration. Acoustic telemetry was used to tag and detect individual fish throughout the estuary.
Data from: Multiple spawning run behavior and population consequences in migratory striped bass Morone saxatilis
<p>Multiple spawning runs cause different contingents within the same population to experience varying demographic fates that can stabilize populations through the portfolio effect. Multiple spawning runs are reported here for the first time for striped bass, an economically important coastal species, which is well known for plastic estuarine and shelf migration behaviors. Adult Hudson River Estuary striped bass (n=66) were tagged and tracked with acoustic transmitters from two known spawning reaches separated by 90 km. Biotelemetry recaptures for two years demonstrated that each reach was associated with separate spawning runs. Time series of spawning run trajectories were examined via nonparametric dynamic time warping and revealed two dominant time series centroids, each associated with the two spawning reaches. In 2017, the lower reach run occurred earlier than the higher reach run, but difference in timing was not observed in 2018. The majority (84%) of returning adults in 2018 showed the same run behaviors exhibited in 2017. The two spawning run may have been cued differently by temperatures, where warming lagged 1-week at the higher reach in comparison to the lower reach. The two spawning runs exhibited similar Atlantic shelf migration patterns with strong summer fidelity to Massachusetts Bay and winter migrations to the southern US Mid-Atlantic Bight. Still, in 2017, differing times of departure from spawning reaches into nearby shelf waters likely caused the early spawning run to experience substantially higher mortality than the later run. Anecdotal evidence suggests that higher fishing effort is exerted on the early-spawning run as it first enters shelf fisheries. Thus, as in salmon, multiple spawning runs by striped bass can lead to differential demographic outcomes, contributing to overall population dynamics.</p>
Figs. 17–20 in Description of a new species of Anthocoris (Hemiptera: Heteroptera: Anthocoridae) from southern India, associated with striped mealybug on purple orchid tree
Figs. 17–20. Anthocoris muraleedharani Yamada, sp. nov. 17 – adult habitus; 18 – mature nymph feeding on solenopsis mealybug; 19 – young nymph feeding on solenopsis mealybug; 20 – eggs inserted into plant tissue (arrows show exposed operculum of egg).
Figs. 1–6 in Description of a new species of Anthocoris (Hemiptera: Heteroptera: Anthocoridae) from southern India, associated with striped mealybug on purple orchid tree
Figs. 1–6. Anthocoris muraleedharani Yamada, sp. nov., paratypes, male (1–2, 5–6) and female (3–4). 1 – head and pronotum, dorsal view; 2–3 – antennae; 4 – left fore wing, dorsal view; 5 – ostiolar peritreme and evaporatorium, left lateroventral view; 6 – abdominal sterna II–III, ventral view. Scale bars = 0.5 mm for 1–4, 6; 0.1 mm for 5.
Figs. 12–16 in Description of a new species of Anthocoris (Hemiptera: Heteroptera: Anthocoridae) from southern India, associated with striped mealybug on purple orchid tree
Figs. 12–16. Anthocoris muraleedharani Yamada, sp. nov. 12–13 – habitus of holotype, dorsal and lateral views; 14–15 – head and pronotum, male (14) and female (15), dorsal view; 16 – ostiolar peritreme and evaporatorium, female, left lateroventral view. Scale bars = 1.0 mm for 12–13; 0.5 mm for 14–15: 0.1 mm for 16.
Fig. 23 in A new genus of Cicadellini (Hemiptera: Cicadellidae) from the Oaxacan Cloud Forest, with taxonomic notes on allied red-striped genera
Fig. 23. Gillonella ampulla Nielson & Godoy, 1995 photographed in situ. Photo taken by Andrey Peraza.
Figs 19–22 in A new genus of Cicadellini (Hemiptera: Cicadellidae) from the Oaxacan Cloud Forest, with taxonomic notes on allied red-striped genera
Figs 19–22. Gillonella ampulla Nielson & Godoy, 1995, ♂ from Braulio Carrillo (MNCR), male terminalia. 19. Aedeagus, lateral view. 20. Aedeagus, posterior view. 21. Asymmetrical processes adjoined to anal tube, dorsal view. 22. Connective, ventral view.
Fig. 10 in A new genus of Cicadellini (Hemiptera: Cicadellidae) from the Oaxacan Cloud Forest, with taxonomic notes on allied red-striped genera
Fig. 10. Habitat of Christopherus mictlantecuhtli gen. et sp. nov. Ancient Cloud Forest from Sierra Juárez, Oaxaca, Mexico. Images taken by Juvenal Aragón-Parada.
Figs 11–13 in A new genus of Cicadellini (Hemiptera: Cicadellidae) from the Oaxacan Cloud Forest, with taxonomic notes on allied red-striped genera
Figs 11–13. Gillonella ampulla Nielson & Godoy, 1995, holotype, ♂ (CASENT 19796), habitus. 11. Body, dorsal view. 12. Body, lateral view. 13. Face, anterior view.
Figs 14–18 in A new genus of Cicadellini (Hemiptera: Cicadellidae) from the Oaxacan Cloud Forest, with taxonomic notes on allied red-striped genera
Figs 14–18. Gillonella ampulla Nielson & Godoy, 1995, holotype, ♂ (CASENT 19796), terminalia. 14. Pygofer and subgenital plate, lateral view. 15. Anal tube, lateral view. 16. Style, ventral view. 17. Aedeagus, basal atrial process, and asymmetrical processes adjoined to anal tube, lateral view. 18. Labels. a = minute tooth on posterior margin; b = dorsum of pygofer sclerotized; c = joint of aedeagus with asymmetrical processes adjoined to anal tube; d = asymmetrical processes tips.
Figs 4–8 in A new genus of Cicadellini (Hemiptera: Cicadellidae) from the Oaxacan Cloud Forest, with taxonomic notes on allied red-striped genera
Figs 4–8. Christopherus mictlantecuhtli gen. et sp. nov., holotype, ♂ (INHS), terminalia. 4. Pygofer, lateral view. 5. Subgenital plates and styles, ventral view. 6. Styles, ventral view. 7. Aedeagus and basal atrial process, lateral view. 8. Aedeagus and paraphysis, posterior view.
Figs 1–3 in A new genus of Cicadellini (Hemiptera: Cicadellidae) from the Oaxacan Cloud Forest, with taxonomic notes on allied red-striped genera
Figs 1–3. Christopherus mictlantecuhtli gen. et sp. nov., holotype, ♂ (INHS), overall habitus. 1. Body, dorsal view. 2. Body, lateral view. 3. Face, anterior view.
Air Quality Stripes
<p>Timeseries of annual mean particulate matter (PM2.5) concentrations (in micrograms per meter cubed) from 1850 to 2021 in 177 cities around the globe. </p> <p>Updated 10/12/2024 to include data for more cites.</p>
From population connectivity to the art of striping Russian dolls: the lessons from Pocillopora corals
<p>Here, we examined the genetic variability in the coral genus <em>Pocillopora</em>, in particular within the Primary Species Hypothesis PSH09, identified by Gélin, Postaire, Fauvelot and Magalon (2017b) using species delimitation methods [also named <em>Pocillopora eydouxi/meandrina</em> complex <em>sensu</em> Schmidt-Roach, Miller, Lundgren, & Andreakis (2014)] and which was found to split into three Secondary Species Hypotheses (SSH09a, SSH09b and SSH09c) according to assignment tests using multi-locus genotypes (13 microsatellites). From a large sampling (2,507 colonies) achieved in three marine provinces [Western Indian Ocean (WIO), Tropical Southwestern Pacific (TSP) and Southeast Polynesia (SEP)], genetic structuring analysis conducted with two clustering analyses (Structure and DAPC) using 13 microsatellites revealed that SSH09a was restricted to the WIO while SSH09b and SSH09c were almost exclusively in the TSP and SEP. More surprisingly, each SSH split into two to three genetically differentiated clusters, found in sympatry at the reef scale, leading to a pattern of nested hierarchical levels (PSH > SSH > cluster), each level hiding highly differentiated genetic groups. Thus, rather than structured populations within a single species, these three SSHs, and even the eight clusters, likely represent distinct genetic lineages engaged in a speciation process or real species. The issue is now to understand which hierarchical level (SSH, cluster or even below) corresponds to the species one. Several hypotheses are discussed on the processes leading to this pattern of mixed clusters in sympatry, evoking formation of reproductive barriers, either by allopatric speciation or habitat selection.</p> <p>This submission contains the genotypes of 2507 individuals from PSH09 for 13 microsatellites.</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.