Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

154

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

154 results for “larval fish”

Learn how ShareScore rates datasets ↗
zenodo32/100

FIG. 8 in H Geoffrey Moser. Larval Fishes: Taxonomy, Distribution, and Fisheries Biology

FIG. 8. The ichthyoplankton group at the SWFSC, c. 1983. From left to right: Elizabeth (Betsy) Stevens, Geoff Moser, Elaine Sandknop Acuna, Eric Bertelsen (Visiting Scientist), Barbara Sumida, and Morgan Busby. Photo courtesy of Morgan Busby.

opennotspecifiedMar 2022View details →
zenodo32/100

FIG. 7 in H Geoffrey Moser. Larval Fishes: Taxonomy, Distribution, and Fisheries Biology

FIG. 7. (A) The first meeting of the steering committee for the symposium on The Ontogeny and Systematics of Fishes, in honor of Elbert Ahlstrom, at Boulder, Colorado in 1982. From left to right: Sally Richardson, Michael Fahay, Arthur Kendall, Jr., William Richards, and Geoff Moser (Daniel Cohen, not in photo). (B) The steering committee for the symposium on The Ontogeny and Systematics of Fishes, in Miami, Florida in 1983. From left to right: Daniel Cohen, Sally Richardson, Michael Fahay, Geoff Moser, Arthur Kendall, Jr., and William Richards.

opennotspecifiedMar 2022View details →
zenodo32/100

FIG. 9 in H Geoffrey Moser. Larval Fishes: Taxonomy, Distribution, and Fisheries Biology

FIG. 9. (A) Jeff Leis, Dan Cohen, and Geoff Moser boarding a train for the field trip following the 1976 ASIH meeting in Fairbanks, Alaska. Photo courtesy Jeffrey Leis. (B) Geoff Moser and Bill Richards in Miami, Florida, 1997. (C) Larval-Fish Conference in Miami, 1986. Right to left: Jeff Govoni, Geoff Moser, and John Olney. Photo: George Boehlert.

opennotspecifiedMar 2022View details →
zenodo32/100

FIG. 6 in H Geoffrey Moser. Larval Fishes: Taxonomy, Distribution, and Fisheries Biology

FIG. 6. (A) The participants in the 1972 class on the identification of marine fish larvae that was taught by Geoff Moser and Elbert Ahlstrom in La Jolla (in the back row, left side). The students, not named in the order shown, included: Anne Naplin, Karl Niggol, and Kenneth Waldron (NMFS Seattle Laboratory); Thomas Kazama (NMFS Honolulu Laboratory); Thomas Potthoff and Edmond Metziger (NMFS Miami Laboratory); John Finucane (NMFS St. Petersburg Laboratory); Ruth Stoddard (NMFS Narragansett Laboratory); Sally Richardson and R. Gregory Lough (Oregon State University); Sara Guzman and Thalia Castro (Instituto Nacional de Pesca, Mexico); Richard Haight and Chester Mattson (NMFS Auke Bay Laboratory); Barbara Sumida (University of Hawaii); Elaine Sandknop, Mary Kalin, John Butler, and Elizabeth Stevens (NMFS La Jolla Laboratory). This was the first class that Geoff co-taught. (B) The international participants in the 1977 class on the identification of marine fish larvae that was taught by and Elbert Ahlstrom and Geoff Moser in La Jolla (in the back row, right side). The students, not named in the order shown, included: Olayinka Babalola (Nigerian Institute for Oceanography and Marine Research); Robert Behrstock (Humboldt State University); M. Elizabeth Clark and Pat Wagner (University of Alaska); Francois Conand (Centre ORSTOM, New Caledonia); César F. Coto (Centra de Ciencias del Mar y Limnologia, Mexico); C. B. Lalithambika Devi (Natonal Institute of Oceanography, Kerala, India); T. Saunders English, Leanne Legacie, and Bruce Miller (University of Washington); Doris Finan (NMFS Sandy Hook, New Jersey, Laboratory); Marta Gerritón (Departimento de Oceanología, Chile); F. Douglas Martin (University of Maryland); John Olney (Virginia Institute of Marine Science); Allyn Powell (NMFS Beaufort, North Carolina, Laboratory); D. A. Robertson (New Zealand Ministry of Agriculture and Fisheries); Bruce Stewart (Moss Landing Marine Laboratory, California); and John Tucker (North Carolina State University). This was the last class that Geoff cotaught with Elbert Ahlstrom.

opennotspecifiedMar 2022View details →
zenodo32/100

FIG. 4 in H Geoffrey Moser. Larval Fishes: Taxonomy, Distribution, and Fisheries Biology

FIG. 4. Geoff Moser (right) with Elbert ''Ahlie'' Ahlstrom (left) in 1972, taken for a San Diego newspaper article about the Wildlife Society recognition of Moser and Ahlstrom (1970).

opennotspecifiedMar 2022View details →
zenodo32/100

FIG. 5 in H Geoffrey Moser. Larval Fishes: Taxonomy, Distribution, and Fisheries Biology

FIG. 5. Geoff Moser in 1977 while co-teaching the larval-fish identification class with Elbert Ahlstrom at the NMFS SWFC, La Jolla.

opennotspecifiedMar 2022View details →
zenodo32/100

FIG. 3 in H Geoffrey Moser. Larval Fishes: Taxonomy, Distribution, and Fisheries Biology

FIG. 3. Herbert Perkins (left) and Geoff Moser (right) at the California Current Resources Laboratory of the U.S. Fish and Wildlife Service in 1962. Perkins worked with Fred Berry on midwater and other pelagic fishes collected in pioneering midwater trawl surveys off southern California (Berry and Perkins, 1965).

opennotspecifiedMar 2022View details →
zenodo32/100

FIG. 2 in H Geoffrey Moser. Larval Fishes: Taxonomy, Distribution, and Fisheries Biology

FIG. 2. Geoff and Pamela Moser in 1982 in Japan when Geoff was a visiting scientist at the Ocean Research Institute (now part of the Atmosphere and Ocean Research Institute), University of Tokyo. Photograph by Kouichi Kawaguchi.

opennotspecifiedMar 2022View details →
zenodo32/100

FIG. 1 in H Geoffrey Moser. Larval Fishes: Taxonomy, Distribution, and Fisheries Biology

FIG. 1. (A) The Ridley Park High School Dance Band in Geoff's senior year of high school (1955–1956). Geoff, on saxophone, is in the front row, far right. (B) The Pennsylvania All-Delaware County Football Team in 1955, of which Geoff Moser was part. Geoff is in the upper right, with his first name misspelled as ''Jeff.''

opennotspecifiedMar 2022View details →
dryad32/100

Data from: Larval dispersal and fishing pressure influence recruitment in a coral reef fishery

<ol> <li><span>Understanding larval connectivity patterns in exploited fishes is a fundamental prerequisite for developing effective management strategies and assessing the vulnerability of a fishery to recruitment overfishing and localised extinction. To date however, researchers have not considered how regional variations in fishing pressure also influence recruitment. </span></li> <li><span>We used genetic parentage analyses and modelling to infer the dispersal patterns of bumphead parrotfish (<i>Bolbometopon muricatum</i>) larvae in the Kia fishing grounds, Isabel Province, Solomon Islands. We then extrapolated our Kia dispersal model to a regional scale by mapping the available nursery and adult habitat for <i>B. muricatum</i> in six regions in the western Solomon Islands, and estimated the relative abundance of adult <i>B. muricatum</i> populations in each of these regions based on available adult habitat and historical and current fishing pressure. </span></li> <li><span><span>Parentage analysis identified 67 juveniles that were the offspring of parents sampled in the Kia fishing grounds. A </span>fitted larval dispersal kernel<span> predicted that 50% of larvae settled within 30 km of their parents, and 95% settled within 85 km of their parents. After accounting for unsampled adults, our model predicted that 34% of recruitment to the Kia fishery was spawned locally. Extrapolating the spatial resolution of the model revealed that a high proportion of the larvae recruiting into the Kia fishing grounds came from nearby regions that had abundant adult populations. </span>Other islands in the archipelago provided few recruits to the Kia fishing grounds, reflecting the greater distances to these islands and lower adult abundances in some regions. </span></li> <li> <em>Synthesis and <a>applications</a></em><em>: </em>This study shows how recruitment into a commercial reef fishery is influenced by larval dispersal patterns and regional variations in historical fishing pressure. The scales of larval connectivity observed for <i>B. muricatum</i> indicate that recruitment overfishing is unlikely if there are lightly exploited reefs up to 85 km away from a heavily fished region, and that small marine protected areas (MPAs) are insufficient to protect this species. We recommend greater efforts to understand the interactions between larval dispersal and gradients of fishing pressure, as this will enable the development of tailored fisheries management <a>strategies.</a> </li> </ol>

opencc-zeroSep 2021View details →
zenodo32/100

FIG. 8 in Blackwater Diving: An Exciting Window into the Planktonic Arena and Its Potential to Enhance the Quality of Larval Fish Collections

FIG. 8. (A) Images of live (left), fixed (right) larva of Brama orcini, USNM 447023, 6 mm. Images of fixed larvae of (B) Brama orcini, USNM 447025, 7 mm; (C) Brama orcini, USNM 447024, 6.5 mm.

opennotspecifiedMar 2021View details →
zenodo32/100

FIG. 6 in Blackwater Diving: An Exciting Window into the Planktonic Arena and Its Potential to Enhance the Quality of Larval Fish Collections

FIG. 6. Images of live (left and upper right) and fixed (lower right) larvae of: (A) Liopropoma cf. latifasciatum, USNM 446983, 10.5 mm. (B) Barbourisia rufa, USNM 447041, 8.5 mm. (C) Images of live and fixed (center) larva of: Carapidae, USNM 447005, ca 120 mm. Photo of fixed specimen by M. Montalvo.

opennotspecifiedMar 2021View details →
zenodo32/100

FIG. 3 in Blackwater Diving: An Exciting Window into the Planktonic Arena and Its Potential to Enhance the Quality of Larval Fish Collections

FIG. 3. Images of live (left column) and fixed (right column) larvae of: (A) Himantolophus albinares, USNM 447045, 4 mm. (B) Gigantactis vanhoeffeni, USNM 447056, 7 mm. (C) Melanocetus johnsonii, USNM 447048, 5 mm. (D) Pseudogramma brederi, USNM 446998, 9 mm.

opennotspecifiedMar 2021View details →
zenodo32/100

FIG. 2 in Blackwater Diving: An Exciting Window into the Planktonic Arena and Its Potential to Enhance the Quality of Larval Fish Collections

FIG. 2. Images of live (left column) and fixed (right column) larvae of: (A) Eustomias, USNM 447021, 30 mm. (B) Aristostomias, USNM 447051, 24 mm. (C) Phtheirichthys lineatus, USNM 447055, 17 mm. (D) Ariosoma fasciatum, USNM 446991, 35 mm.

opennotspecifiedMar 2021View details →
zenodo32/100

FIG. 1 in Blackwater Diving: An Exciting Window into the Planktonic Arena and Its Potential to Enhance the Quality of Larval Fish Collections

FIG. 1. (A) Victor Hensen (1835–1924) image from Wikipedia https:// en.wikipedia.org/wiki/Victor_Hensen#/media/File:Victor_Hensen.jpg. (B) Ernst Haeckel (1834–1919) image from Wikipedia https://en. wikipedia.org/wiki/Ernst_Haeckel#/media/File:Ernst_Haeckel_1860. jpg.

opennotspecifiedMar 2021View details →
zenodo32/100

FIG. 7 in Blackwater Diving: An Exciting Window into the Planktonic Arena and Its Potential to Enhance the Quality of Larval Fish Collections

FIG. 7. Images of fixed larvae of: (A) Myripristis berndti, USNM 446992, 15 mm. (B) Plectrypops lima, USNM 446999, 15 mm. (C) cf. Sargocentron, USNM 447047, 11 mm. (D) Zapogon evermanni, USNM 447053, 8 mm. (E) Makaira nigricans, USNM 447037, 17 mm. (F) Thunnus albacares, USNM 447010, 10 mm. (G) Acanthurus thompsoni, USNM 447036, 6 mm. (H) Sebastapistes fowleri, USNM 447057, 13 mm. (I) Dolopichthys, USNM 447039, 9 mm. (J) Saurenchelys taiwanensis, USNM 447029, 110 mm. (J) Photo by S. Raredon.

opennotspecifiedMar 2021View details →
zenodo32/100

FIG. 9 in Blackwater Diving: An Exciting Window into the Planktonic Arena and Its Potential to Enhance the Quality of Larval Fish Collections

FIG. 9. Images of live (left column) and fixed (right column) larvae of: (A) Eutaeniophorus, USNM 447049, 44 mm (with head close-up image). (B) Malacosarcus macrostoma, USNM 447046, 13 mm. (C) Luciobrotula, USNM 447052, 24 mm. (D) Bathymicrops cf. regis, USNM 447054, 19 mm.

opennotspecifiedMar 2021View details →
zenodo32/100

FIG. 5 in Blackwater Diving: An Exciting Window into the Planktonic Arena and Its Potential to Enhance the Quality of Larval Fish Collections

FIG. 5. Images of live (left) and fixed (right) larvae of: (A) Bathophilus, USNM 447003, 19 mm. (B) Zu cristatus, USNM 447018, 9 mm.

opennotspecifiedMar 2021View details →
dryad32/100

Data from: Larval traits carry over to affect post-settlement behaviour in a common coral reef fish

Open the record for dataset details and reuse information.

publicFeb 2017View details →
dryad32/100

Data from: Gene flow by larval dispersal in the Antarctic notothenioid fish Gobionotothen gibberifrons

Open the record for dataset details and reuse information.

publicMar 2010View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record