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491 results for “ADAM”
Figure 10 from: Borremans C, Durden J, Schoening T, Curtis EJ, Adams L, Branzan Albu A, Arnaubec A, Ayata S-D, Baburaj R, Bassin C, Beck M, Bigham KT, Boschen-Rose RE, Collett C, Contini M, Correa PVF, Dominguez-Carrió C, Dreyfus G, Duncan G, Ferrera M, Foulon V, Friedman A, Gaikwad S, Game C, Gaytán-Caballero A, Girard F, Giusti M, Hanafi-Portier M, Howell K, Hulevata I, Itiowe K, Jackett C, Jansen J, Karthäuser C, Katija K, Kernec M, Kim G, Kitahara M, Langenkämper D, Langlois T, Lanteri N, Jianping Li C, Li Q-R, Liabot P-O, Lindsay D, Loulidi A, Marcon Y, Marini S, Marranzino A, Massot-Campos M, Matabos M, Menot L, Moreno B, Morrissey M, Nakath D, Nattkemper T, Neufeld M, Obst M, Olu K, Parimbelli A, Pasotti F, Pelletier D, Perhirin M, Piechaud N, Pizarro O, Purser A, Rodrigues CF, Ceballos Romero E, Schlining B, Song Y, Sosik HM, Sourisseau M, Taormina B, Taucher J, Thornton B, Van Audenhaege L, von der Meden C, Wacquet G, Williams J, Witting K, Zurowietz M (2024) Report on the Marine Imaging Workshop 2022. Research Ideas and Outcomes 10: e119782. https://doi.org/10.3897/rio.10.e119782
Figure 10 Polling results of discussion session 4 "Reproducibility", question 1: "Which part of Findable/Accessible/Interoperable/Reusable is most important to improve reproducibility?".
Figure 6 from: Borremans C, Durden J, Schoening T, Curtis EJ, Adams L, Branzan Albu A, Arnaubec A, Ayata S-D, Baburaj R, Bassin C, Beck M, Bigham KT, Boschen-Rose RE, Collett C, Contini M, Correa PVF, Dominguez-Carrió C, Dreyfus G, Duncan G, Ferrera M, Foulon V, Friedman A, Gaikwad S, Game C, Gaytán-Caballero A, Girard F, Giusti M, Hanafi-Portier M, Howell K, Hulevata I, Itiowe K, Jackett C, Jansen J, Karthäuser C, Katija K, Kernec M, Kim G, Kitahara M, Langenkämper D, Langlois T, Lanteri N, Jianping Li C, Li Q-R, Liabot P-O, Lindsay D, Loulidi A, Marcon Y, Marini S, Marranzino A, Massot-Campos M, Matabos M, Menot L, Moreno B, Morrissey M, Nakath D, Nattkemper T, Neufeld M, Obst M, Olu K, Parimbelli A, Pasotti F, Pelletier D, Perhirin M, Piechaud N, Pizarro O, Purser A, Rodrigues CF, Ceballos Romero E, Schlining B, Song Y, Sosik HM, Sourisseau M, Taormina B, Taucher J, Thornton B, Van Audenhaege L, von der Meden C, Wacquet G, Williams J, Witting K, Zurowietz M (2024) Report on the Marine Imaging Workshop 2022. Research Ideas and Outcomes 10: e119782. https://doi.org/10.3897/rio.10.e119782
Figure 6 Polling results of discussion session 2 "Interoperability in marine imaging", question 2: "Who has a mandate to define interfaces for interoperability between marine imaging software tools?".
Figure 5 from: Borremans C, Durden J, Schoening T, Curtis EJ, Adams L, Branzan Albu A, Arnaubec A, Ayata S-D, Baburaj R, Bassin C, Beck M, Bigham KT, Boschen-Rose RE, Collett C, Contini M, Correa PVF, Dominguez-Carrió C, Dreyfus G, Duncan G, Ferrera M, Foulon V, Friedman A, Gaikwad S, Game C, Gaytán-Caballero A, Girard F, Giusti M, Hanafi-Portier M, Howell K, Hulevata I, Itiowe K, Jackett C, Jansen J, Karthäuser C, Katija K, Kernec M, Kim G, Kitahara M, Langenkämper D, Langlois T, Lanteri N, Jianping Li C, Li Q-R, Liabot P-O, Lindsay D, Loulidi A, Marcon Y, Marini S, Marranzino A, Massot-Campos M, Matabos M, Menot L, Moreno B, Morrissey M, Nakath D, Nattkemper T, Neufeld M, Obst M, Olu K, Parimbelli A, Pasotti F, Pelletier D, Perhirin M, Piechaud N, Pizarro O, Purser A, Rodrigues CF, Ceballos Romero E, Schlining B, Song Y, Sosik HM, Sourisseau M, Taormina B, Taucher J, Thornton B, Van Audenhaege L, von der Meden C, Wacquet G, Williams J, Witting K, Zurowietz M (2024) Report on the Marine Imaging Workshop 2022. Research Ideas and Outcomes 10: e119782. https://doi.org/10.3897/rio.10.e119782
Figure 5 Polling results of discussion session 2 "Interoperability in marine imaging", question 1: "Which improvements to interoperability would be most useful to you?".
Figure 8 from: Borremans C, Durden J, Schoening T, Curtis EJ, Adams L, Branzan Albu A, Arnaubec A, Ayata S-D, Baburaj R, Bassin C, Beck M, Bigham KT, Boschen-Rose RE, Collett C, Contini M, Correa PVF, Dominguez-Carrió C, Dreyfus G, Duncan G, Ferrera M, Foulon V, Friedman A, Gaikwad S, Game C, Gaytán-Caballero A, Girard F, Giusti M, Hanafi-Portier M, Howell K, Hulevata I, Itiowe K, Jackett C, Jansen J, Karthäuser C, Katija K, Kernec M, Kim G, Kitahara M, Langenkämper D, Langlois T, Lanteri N, Jianping Li C, Li Q-R, Liabot P-O, Lindsay D, Loulidi A, Marcon Y, Marini S, Marranzino A, Massot-Campos M, Matabos M, Menot L, Moreno B, Morrissey M, Nakath D, Nattkemper T, Neufeld M, Obst M, Olu K, Parimbelli A, Pasotti F, Pelletier D, Perhirin M, Piechaud N, Pizarro O, Purser A, Rodrigues CF, Ceballos Romero E, Schlining B, Song Y, Sosik HM, Sourisseau M, Taormina B, Taucher J, Thornton B, Van Audenhaege L, von der Meden C, Wacquet G, Williams J, Witting K, Zurowietz M (2024) Report on the Marine Imaging Workshop 2022. Research Ideas and Outcomes 10: e119782. https://doi.org/10.3897/rio.10.e119782
Figure 8 Polling results of discussion session 3 "Automation", question 2: "Is AI for underwater images fundamentally different to existing "in-air" methods?".
Supplementary material 1 from: Amburgey SM, Yackel Adams AA, Gardner B, Lardner B, Knox AJ, Converse SJ (2021) Tools for increasing visual encounter probabilities for invasive species removal: a case study of brown treesnakes. NeoBiota 70: 107-122. https://doi.org/10.3897/neobiota.70.71379
R code to fit the spatial capture-recapture model in JAGS
Supplementary material 2 from: Amburgey SM, Yackel Adams AA, Gardner B, Lardner B, Knox AJ, Converse SJ (2021) Tools for increasing visual encounter probabilities for invasive species removal: a case study of brown treesnakes. NeoBiota 70: 107-122. https://doi.org/10.3897/neobiota.70.71379
Code used to simulate detection probabilities
Figure 2 from: Haupt TM, Ceasar J, Stefanoudis P, von der Meden C, Payne RP, Adams LA, Anders DR, Bernard AT, Coetzer W, Florence WK, Janson LA, Johnson AS, Juby R, Kock AA, Langenkämper D, Nadjim AM, Parker D, Samaai T, Snyders LB, Upfold L, van der Heever GM, Williams LL (2022) The WIO Regional Benthic Imagery Workshop: Lessons from past IIOE-2 expeditions. Research Ideas and Outcomes 8: e81563. https://doi.org/10.3897/rio.8.e81563
Figure 2 Specimen plate of benthic invertebrates collected via dredge sampling on the IIOE-2 expeditions of 2017/2018. Shown here are a diverse range of taxa - Crustacea, Bryozoa, Brachiopoda, Porifera, Cnidaria, Echinodermata and Mollusca.
Figure 3 from: Haupt TM, Ceasar J, Stefanoudis P, von der Meden C, Payne RP, Adams LA, Anders DR, Bernard AT, Coetzer W, Florence WK, Janson LA, Johnson AS, Juby R, Kock AA, Langenkämper D, Nadjim AM, Parker D, Samaai T, Snyders LB, Upfold L, van der Heever GM, Williams LL (2022) The WIO Regional Benthic Imagery Workshop: Lessons from past IIOE-2 expeditions. Research Ideas and Outcomes 8: e81563. https://doi.org/10.3897/rio.8.e81563
Figure 3 Increasing complexity and cost of visual sampling equipment; the operational requirements for deployment of the equipment, from small craft to large research vessels; and the technical and legal requirements for operators. Photographic credit (Left to Right): Department of Forestry, Fisheries and the Environment (South Africa); Jeanne Mortimer (Island Conservation Society, Seychelles); 3) South African Institute for Aquatic Biodiversity (SAIAB); 4) South African Environmental Observation Network (SAEON); 5) SAIAB; 6) Nekton.
Figure 1 from: Haupt TM, Ceasar J, Stefanoudis P, von der Meden C, Payne RP, Adams LA, Anders DR, Bernard AT, Coetzer W, Florence WK, Janson LA, Johnson AS, Juby R, Kock AA, Langenkämper D, Nadjim AM, Parker D, Samaai T, Snyders LB, Upfold L, van der Heever GM, Williams LL (2022) The WIO Regional Benthic Imagery Workshop: Lessons from past IIOE-2 expeditions. Research Ideas and Outcomes 8: e81563. https://doi.org/10.3897/rio.8.e81563
Figure 1 A map of the representative countries, of which 231 out of the 266 participants (i.e. 87%) were from the Western Indian Ocean. Source: L Williams, DFFE.
FIGURE 1. Archaeochrysa paranervis Adams, 1967, holotype UCM 4419 in A revision of Chrysopidae (Neuroptera) from the late Eocene Florissant Formation Colorado, with description of new species
FIGURE 1. Archaeochrysa paranervis Adams, 1967, holotype UCM 4419. Scale bar = 3 mm.
Supplementary material 1 from: Hanslowe EB, Yackel Adams AA, Nafus MG, Page DA, Bradke DR, Erickson FT, Bailey LL (2022) Chew-cards can accurately index invasive rat densities in Mariana Island forests. NeoBiota 74: 29-56. https://doi.org/10.3897/neobiota.74.80242
Appendix 1, Tables S1–S4
Supplementary material 2 from: Hanslowe EB, Yackel Adams AA, Nafus MG, Page DA, Bradke DR, Erickson FT, Bailey LL (2022) Chew-cards can accurately index invasive rat densities in Mariana Island forests. NeoBiota 74: 29-56. https://doi.org/10.3897/neobiota.74.80242
Figure S1
FIGURE 13 in First records of Leucania rawlinsi Adams and L. senescens M̂schler (Lepidoptera: Noctuidae) in Brazil: redescription, potential association with Bt maize, larval parasitoids, and spatial and temporal distribution
FIGURE 13. Geographic distribution of Leucania rawlinsi and L. senescens in Brazil.
Figure 3 from: Constantinescu IC, Popa OP, Popa LO, Cobzaru I, Mukhim DKB, Adam C (2017) A new feather mite species of the genus Proterothrix Gaud, 1968 (Acarina, Proctophyllodidae) from the Large Niltava, Niltava grandis (Passeriformes, Muscicapidae) – an integrative description. ZooKeys 661: 1-14. https://doi.org/10.3897/zookeys.661.11793
Figure 3 - Proterothrix chachulae sp. n., A–D details of male legs, dorsal view: A leg I B leg II C leg III D leg IV E opisthosoma of male, ventral view.
Figure 6 from: Constantinescu IC, Popa OP, Popa LO, Cobzaru I, Mukhim DKB, Adam C (2017) A new feather mite species of the genus Proterothrix Gaud, 1968 (Acarina, Proctophyllodidae) from the Large Niltava, Niltava grandis (Passeriformes, Muscicapidae) – an integrative description. ZooKeys 661: 1-14. https://doi.org/10.3897/zookeys.661.11793
Figure 6 - Proterothrix chachulae sp. n., A–D details of female legs, dorsal view: A leg I B leg II C leg III D leg IV E spermatheca and spermaducts of female. Abbreviations: hs–head of spermatheca; pd–primary spermaduct; sd–secondary spermaduct.
Figure 3 from: Abarenkov K, Adams RI, Irinyi L, Agan A, Ambrosio E, Antonelli A, Bahram M, Bengtsson-Palme J, Bok G, Cangren P, Coimbra V, Coleine C, Gustafsson C, He J, Hofmann T, Kristiansson E, Larsson E, Larsson T, Liu Y, Martinsson S, Meyer W, Panova M, Pombubpa N, Ritter C, Ryberg M, Svantesson S, Scharn R, Svensson O, Töpel M, Unterseher M, Visagie C, Wurzbacher C, Taylor AFS, Kõljalg U, Schriml L, Nilsson RH (2016) Annotating public fungal ITS sequences from the built environment according to the MIxS-Built Environment standard – a report from a May 23-24, 2016 workshop (Gothenburg, Sweden). MycoKeys 16: 1-15. https://doi.org/10.3897/mycokeys.16.10000
Figure 3 - Analysis of the MIxS-BE "building occupancy type" (type of building where the underlying sample was taken).
Figure 2 from: Abarenkov K, Adams RI, Irinyi L, Agan A, Ambrosio E, Antonelli A, Bahram M, Bengtsson-Palme J, Bok G, Cangren P, Coimbra V, Coleine C, Gustafsson C, He J, Hofmann T, Kristiansson E, Larsson E, Larsson T, Liu Y, Martinsson S, Meyer W, Panova M, Pombubpa N, Ritter C, Ryberg M, Svantesson S, Scharn R, Svensson O, Töpel M, Unterseher M, Visagie C, Wurzbacher C, Taylor AFS, Kõljalg U, Schriml L, Nilsson RH (2016) Annotating public fungal ITS sequences from the built environment according to the MIxS-Built Environment standard – a report from a May 23-24, 2016 workshop (Gothenburg, Sweden). MycoKeys 16: 1-15. https://doi.org/10.3897/mycokeys.16.10000
Figure 2 - Krona chart of the taxonomic affiliation of the BMS sequences down to order level. The Krona chart lists all annotated BMS sequences except those classified as Fungi sp. (36.4%) and those of non-fungal origin (0.9%). An interactive version of the Krona chart is provided as Suppl. material 3. The figure includes pre-existing data plus the data added during the workshop, such that these charts indicate the scientific state of ITS-based Sanger-derived sequencing of the built mycobiome as of spring 2016. Sequences that were not annotated with a single built environment-related term in the INSDC were not included in this effort, and are not represented in these charts.
Figure 1 from: Abarenkov K, Adams RI, Irinyi L, Agan A, Ambrosio E, Antonelli A, Bahram M, Bengtsson-Palme J, Bok G, Cangren P, Coimbra V, Coleine C, Gustafsson C, He J, Hofmann T, Kristiansson E, Larsson E, Larsson T, Liu Y, Martinsson S, Meyer W, Panova M, Pombubpa N, Ritter C, Ryberg M, Svantesson S, Scharn R, Svensson O, Töpel M, Unterseher M, Visagie C, Wurzbacher C, Taylor AFS, Kõljalg U, Schriml L, Nilsson RH (2016) Annotating public fungal ITS sequences from the built environment according to the MIxS-Built Environment standard – a report from a May 23-24, 2016 workshop (Gothenburg, Sweden). MycoKeys 16: 1-15. https://doi.org/10.3897/mycokeys.16.10000
Figure 1 - Analysis of the BMS sequences for country of collection. Country centroids marked with bubbles of different size on the global map indicate the number of BMS sequences originating from these countries (54 distinct countries, sequence count ranging from 1 to 2,914). For an additional 2.9% of the sequences, country information could not be restored during the workshop. The figure includes pre-existing data plus the data added during the workshop, such that these charts indicate the scientific state of ITS-based Sanger-derived sequencing of the built mycobiome as of spring 2016. Sequences that were not annotated with a single built environment-related term in the INSDC were not included in this effort, and are not represented in these charts.
Figure 1 from: Soares D, Adams R, Hammond S, Slay ME, Fenolio DB, Niemiller ML (2017) Evolution of Coprophagy and Nutrient Absorption in a Cave Salamander. Subterranean Biology 24: 1-9. https://doi.org/10.3897/subtbiol.24.15013
Figure 1 - Eurycea spelaea showing troglobitic characters, lack of pigmentation and microphthalmy. Scale bar: 0.5 cm.
Figure 2 from: Soares D, Adams R, Hammond S, Slay ME, Fenolio DB, Niemiller ML (2017) Evolution of Coprophagy and Nutrient Absorption in a Cave Salamander. Subterranean Biology 24: 1-9. https://doi.org/10.3897/subtbiol.24.15013
Figure 2 - Regression lines based on body mass loss of different diet types and amounts. Salamanders were fed nothing (green), live amphipods (red) or guano (blue). Groups were fed every four days based on their initial body weight, with 2.5% (A), 5% (B) or 10% (C). The calculated regression lines were as follows: Control -1.16x+96.01 R2 = 0.54, n = 10; 2.5%amphipod -0.26x+98.49, R2 = 0.39, n = 6; 2.5%guano -0.70x+93.58, R2 = 0.02, n = 6; 5%amphipod -0.28x+102.22, R2 = 0.03, n = 6; 5%guano -1.12x+98.89, R2 = 0.77, n = 6; 10%amphipod -0.35x+103.36, R2 = 0.21, n = 6; 10%guano -0.70x+96.01, R2 = 0.53, n = 6.
ScienceDex guides
Understand access before you commit
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.