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736 results for “Biological Collection”
Linked collectors and determiners for: Biological Reference Collections ICM-CSIC.
Natural history specimen data linked to collectors and determiners held within, "Biological Reference Collections ICM-CSIC". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/1d743188-1e65-4d99-a814-fa3fd51f1490">https://bionomia.net/dataset/1d743188-1e65-4d99-a814-fa3fd51f1490</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/1d743188-1e65-4d99-a814-fa3fd51f1490">https://gbif.org/dataset/1d743188-1e65-4d99-a814-fa3fd51f1490</a>. Formatted as a Frictionless Data package.
Figures 11–15. Stethon pectorosus collecting event. 11 in Eucnemid larvae of the Nearctic region. Part VI: Descriptions of the fifth instar and prepupal larval stages of Stethon pectorosus LeConte, 1866 (Coleoptera: Eucnemidae: Eucneminae: Mesogenini), with notes on their biology
Figures 11–15. Stethon pectorosus collecting event. 11) Rotten elm limb. 12) Exit holes. 13) Senior author preparing to split the limb. 14) Senior author splitting tree limb. 15) Adult cadaver in exit hole.
Figures 16–20. Stethon pectorosus collecting event and adult. 16 in Eucnemid larvae of the Nearctic region. Part VI: Descriptions of the fifth instar and prepupal larval stages of Stethon pectorosus LeConte, 1866 (Coleoptera: Eucnemidae: Eucneminae: Mesogenini), with notes on their biology
Figures 16–20. Stethon pectorosus collecting event and adult. 16) Prepupal larval stage in pupal cell. 17) Prepupal larval stage with purple- colored stain. 18) Collected fifth instar and prepupal larval stages. 19) Dorsal habitus. 20) Posterior habitus of adult illustrating deep, V-shaped exoskeletal cavities at elytral apices as indicated with white arrows. Scale line = 1.0 mm.
Fig. 4 in The Universiti Brunei Darussalam biological collections: history, present assets, and future development
Fig. 4. UBDM wet collection. Number of lots (= jars or vials) per taxon (each lot contains one or more specimens); mixed jars: jars containing mixed taxa.
Fig. 3 in The Universiti Brunei Darussalam biological collections: history, present assets, and future development
Fig. 3. UBDM dry insect collection (204 containers: cabinets, window boxes, and boxes); n. spec. = number of specimens per insect order. Damage prevented preliminary determination in some cases (undet.).
Fig. 2 in The Universiti Brunei Darussalam biological collections: history, present assets, and future development
Fig. 2. Map of Brunei illustrating the collection sites of plants stored in UBDH (black diamonds); grey line: district border (districts: Belait, Tutong, Muara, Temburong); black dashed line: national border; black continuous line: coastline.
Fig. 1 in The Universiti Brunei Darussalam biological collections: history, present assets, and future development
Fig. 1. UBDH botanical collections (excluding bryophytes) deposited (a) at five-year intervals, and (b) cumulatively.
Figures 7–10 in Description of the immature stages, biology and DNA-barcoding of Quichuana pogonosa (Diptera: Syrphidae) collected in Bromeliaceae in Paraná, Brazil
Figures 7–10. Quichuana pogonosa: (7) pupa, dorsal view (DZUP 690906); (8) pupa, ventral view (DZUP 690906); (9) operculum (DZUP 690914); (10) puparium, dorsal view (DZUP 690914). (a sp l) anterior spiracles larval; (a pr) abdominal prolegs; (ap) anal papillae; (ce) cephalopharyngeal skeleton; (op) operculum; (sp p) pupal spiracles. Scale bars: 2 mm.
Figures 1–6 in Description of the immature stages, biology and DNA-barcoding of Quichuana pogonosa (Diptera: Syrphidae) collected in Bromeliaceae in Paraná, Brazil
Figures 1–6. Quichuana pogonosa: (1) egg; (2) habitus of third instar larva, lateral view (DZUP 690903); (3) third instar larva, ventral view (DZUP 690903); (4) cephalopharyngeal skeleton of third instar larva, lateral view; (5) third instar larva, dorsal view (DZUP 690903); (6) map of the chaetotaxy of the third instar larva in lateral view showing the position of the sensillae. (a1, a7, a8) abdominal segments a2–a6 are suppressed from the figure for clarity; (a) anus; (am) antennomaxillary organs; a pr, abdominal prolegs; (a sp l) anterior spiracles larval; (c) cibarium; (cs) chorionic surface; (d) dorsal; (dc) dorsal cornu; (db) dorsal bridge; (ep) epipharyngeal plate; (l) lateral; (lb) labial bridge, (lbr) labrum; (lg) longitudinal grooves; (lr) labial rods; (ll) lateral lip; (lp t) lappets; (m) mouthparts; (mi) mandibular lobes; (m pr) mesothoracic proleg; (ms) mesothorax; (mt) metathorax; (od) optical depression; (op) operculum; (p) prothorax; (v) ventral; (va) ventral arm; (vc) ventral cornu; (vl) ventrolateral; (vp) vertical plate; (w) primordia of pupal spiracles; (wl) line of weakness after puparia formation bounding the operculum. Scale bars: 1, 4 = 0.5 mm, 2 = 5 mm, 3, 5 = 2 mm.
Figures 15–20 in Description of the immature stages, biology and DNA-barcoding of Quichuana pogonosa (Diptera: Syrphidae) collected in Bromeliaceae in Paraná, Brazil
Figures 15–20. Quichuana pogonosa: (15) egg; (16) first instar larvae next to shells; (17–18) habitus of third instar larvae; (19) pupae aggregation; (20) puparia of Quichuana pogonosa (left) and Eristalis sp. (right).
Figures 11–14 in Description of the immature stages, biology and DNA-barcoding of Quichuana pogonosa (Diptera: Syrphidae) collected in Bromeliaceae in Paraná, Brazil
Figures 11–14. Quichuana pogonosa, male (DZUP 690906): (11) habitus dorsal; (12) habitus lateral; (13) genitalia, ventral view; (14) genitalia lateral view. (aed lb) aedeagal lobe, (cerc) cercus, (epand) epandrium, (hypd) hypandrium, (phapod) phallodeme, (sur) surstylus. Scale bars: 11, 12 = 2 mm, 13, 14 = 1 mm.
Plant biomass collection on the Biodiversity Experiment at the Kellogg Biological Station, Hickory Corners, MI (2001 to 2011)
Dataset Abstract The biodiversity gradient experiment is an additional long-term study located within the LTER Main Site complex, in which a series of 21 different experimental treatments vary in plant species diversity. Treatments range from bare soil to single-crop rotations to multiple-crop rotations to annually fallowed fields with early successional plant communities. Plant species richness thus varies from 0 to >15 in any given 3-year rotation cycle. Treatment plots are 9.1×27.4 meters (30×90 feet) replicated in each of 4 randomized blocks. The study site was established in 2000. original data source http://lter.kbs.msu.edu/datasets/112
Aphid Collection Tower Site at KBS at the Kellogg Biological Station, Hickory Corners, MI (2005 to 2013)
Dataset Abstract Survey of migration of soybean aphid and other aphids of economic interest in 10 midwestern States. Aphids are collected using a suction trap. original data source http://lter.kbs.msu.edu/datasets/52
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1982-12-30
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER, originally collected on 1982-12-30 (15:51:16.2400190Z) by Landsat 4, row 31, path 21. Cloud cover was 40 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40210311982364XXX04, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:20:39Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1989-06-24
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER, originally collected on 1989-06-24 (15:56:11.0710190Z) by Landsat 4, row 031, path 021. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40210311989175XXX01, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-27T02:09:01Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1984-09-06
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER, originally collected on 1984-09-06 (15:52:49.0320810Z) by Landsat 5, row 31, path 21. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50210311984250XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:16:06Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1984-09-22
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER, originally collected on 1984-09-22 (15:52:51.1460000Z) by Landsat 5, row 31, path 21. Cloud cover was 44.49 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50210311984266PAC00, LPGS_12.0.2, USGS, Sioux Falls, 2012-06-16T11:18:57Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1984-10-24
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER, originally collected on 1984-10-24 (15:52:45.8540440Z) by Landsat 5, row 31, path 21. Cloud cover was 30 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50210311984298XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:18:02Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1984-11-25
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER, originally collected on 1984-11-25 (15:52:37.6570750Z) by Landsat 5, row 31, path 21. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50210311984330XXX07, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:18:03Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1985-05-04
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER, originally collected on 1985-05-04 (15:52:53.0150250Z) by Landsat 5, row 31, path 21. Cloud cover was 30 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50210311985124XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-14T08:35:54Z.
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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.