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6,025 results for “Science of science”
Supplementary material 3 from: Croce A, Nazzaro R (2017) An atlas of orchids distribution in the Campania region (Italy), a citizen science project for the most charming plant family. Italian Botanist 4: 15-32. https://doi.org/10.3897/italianbotanist.4.14916
References considered for the bibliographic records : Data type: (measurement/occurence/multimedia/etc.)
Supplementary material 3 from: Groom Q, Desmet P, Reyserhove L, Adriaens T, Oldoni D, Vanderhoeven S, Baskauf SJ, Chapman A, McGeoch M, Walls R, Wieczorek J, Wilson JR.U, Zermoglio PFF, Simpson A (2019) Improving Darwin Core for research and management of alien species. Biodiversity Information Science and Standards 3: e38084. https://doi.org/10.3897/biss.3.38084
The Convention on Biological Diversity pathway vocabulary adapted from Harrower et al. 2017. Including proposed simple labels for these terms.
Supplementary material 1 from: Groom Q, Desmet P, Reyserhove L, Adriaens T, Oldoni D, Vanderhoeven S, Baskauf SJ, Chapman A, McGeoch M, Walls R, Wieczorek J, Wilson JR.U, Zermoglio PFF, Simpson A (2019) Improving Darwin Core for research and management of alien species. Biodiversity Information Science and Standards 3: e38084. https://doi.org/10.3897/biss.3.38084
Distinct values for dwc:establishmentMeans and their frequency from observations on the Global Biodiversity Information Facility on 27 February 2017. Taken from GitHub repository of the Darwin Core Questions & Answers Site (https://github.com/tdwg/dwc-qa/tree/master/data/GBIFDistinctValues).
Supplementary material 2 from: Groom Q, Desmet P, Reyserhove L, Adriaens T, Oldoni D, Vanderhoeven S, Baskauf SJ, Chapman A, McGeoch M, Walls R, Wieczorek J, Wilson JR.U, Zermoglio PFF, Simpson A (2019) Improving Darwin Core for research and management of alien species. Biodiversity Information Science and Standards 3: e38084. https://doi.org/10.3897/biss.3.38084
A tab-delimited file mapping values (synonyms; orthographic and language variations) found in Darwin Core dwc:establishmentMeans to a controlled vocabulary.
Three principles of data science: predictability, computability, and stability (PCS)
<p>This repository contains the data, codes, and PCS documentation described in: <em>Three principles of data science: predictability, computability, and stability (PCS)</em>.</p>
Computational History of Philosophy of Science (Comp HOPOS) Dataset
<p>The Computational History of Philosophy of Science (Comp HOPOS) aims to be a comprehensive set of article and (when available) book chapter metadata for philosophy of science. The dataset covers the full run of over 40 journals and 3 major book series in the field. An automated author disambiguation script is used to construct canonical names for each author, and a combination of gender attribution methods is used to attribute the gender of each author. The full code used to generate the dataset is available at <a href="https://github.com/dhicks/comp-HOPOS">https://github.com/dhicks/comp-HOPOS</a>. See the file data_dictionary.txt for data dictionary and additional information.</p>
Demystifying Open Science and Research Data Management: A practical workshop for researchers
<p>Have you ever wondered why is everyone discussing about Open Science and Research Data Management (RDM) these days? Good Research Data Management (RDM) is crucial for reproducible and robust scientific research. Consequently, more and more funding bodies, governments, research institutions and other agencies have emphasised the value and importance of good data management and introduced policies on data management and sharing. However, it is easier said than done.<br> Like most researchers you might have more questions than answers about the topic. You are not alone! Come join us on the 24th at an interactive workshop where you can understand the why and how of open science and research data management in practical terms.</p> <p> </p> <p>This zenodo entry is a recording of the workshop described above. </p>
Limnological topical words datasets from ASLO and Web of Science
<p>These datasets include the number of counts of pre-identified words related to limnological research found in abstracts of research (oral presentations and poster) for freshwater research presented at the Association for the Sciences of Limnology and Oceanography (ASLO) between 2004 and 2016. The raw data have been obtained from the Schneider group, and they have been summarized to build tables and figures in the associated Lapierre et al. paper (Limnology and Oceanography Letters. 2019). Additional datasets includes the number of counts of pre-identified words related to limnological research found in abstracts of articles found in Web of Science between 1994 and 2017. These data allowed us to compare research trends presented at ASLO meetings to those found in the scientific literature.</p>
nmatthews323/ThesisFunding: Updated: Science and Public Policy Publication
A codebase for annotating and analysing EThOS sponsorship and funding information
FIG. 4. Content from Urp-Hicks Slips from 1948 in A Common Love of Science: The One-Hundredth Meeting of the American Society of Ichthyologists and Herpetologists
FIG. 4. Content from Urp-Hicks Slips from 1948. (A) A cartoon depicting ''The birth of a Copeia note.'' (B) A light-hearted poem lampooning one of ASIH's founders, Henry W. Fowler.
FIG. 3 in A Common Love of Science: The One-Hundredth Meeting of the American Society of Ichthyologists and Herpetologists
FIG. 3. Graphs showing changes in (A) number of registrants and (B) number of presentations (light gray dots are oral presentations; dark gray dots are poster presentations) at annual meetings of ASIH. Data taken from published meeting summaries and/or program books.
FIG. 5 in A Common Love of Science: The One-Hundredth Meeting of the American Society of Ichthyologists and Herpetologists
FIG. 5. Logos from meetings of the ASIH. (A) The first logo for a meeting that was not the ASIH logo to be reproduced on t-shirts (image drawn by and courtesy of B. Mundy). (B) Cover of the program book including the meeting logo from the 1985 meeting (illustration by G. Dinkins). (C) Logo from the 1997 meeting (image drawn by and courtesy of R. Troll). (D) Logo from the 2014 meeting (image drawn by and courtesy of D. Neeley).
FIG. 2 in A Common Love of Science: The One-Hundredth Meeting of the American Society of Ichthyologists and Herpetologists
FIG. 2. Group photos from two ends of the history of ASIH. (A) 1935 meeting (Pittsburg, PA). Front row (left to right): W. H. Stickel, L. Brodie, A. H. Wright, J. Netting (née Smith), M. G. Netting, A. M. Dunn (née Taylor), L. H. Rivero, M. R. Myers (née Frisinger), G. S. Myers, H. T. Gaige, W. M. Clay. Middle row (left to right): T. L. Hankinson, K. P. Schmidt, O. M. Orsinger (née Sullivan), L. C. Stuart, E. R. Dunn, W. S. Cramer, C. Goin, C. C. Goff, W. Clanton. Back row (left to right): A. M. Greenball, F. N. Blanchard, F. G. Orsinger, A. W. Henn, I. D. George, H. G. M. Jopson, C. F. Walker, N. Hartweg, E. H. Taylor. (B) JMIH 2013 (Albuquerque, NM).
Extended data Integration of democratic values in natural sciences education
Open the record for dataset details and reuse information.
Figure 2 in Remote sensing and citizen science to characterize the ecological niche of an endemic and endangered Costa Rican poison frog
Figure 2. Land cover classification of the study area in the South Pacific of Costa Rica for 2019 using Sentinel-2 spatial data.
Figure 1 in Remote sensing and citizen science to characterize the ecological niche of an endemic and endangered Costa Rican poison frog
Figure 1. Map of the study area in the South Pacific of Costa Rica (1:1,250,000 scale and Coordinate Reference System (CRS) WGS84) for the analysis of the ecological niche of P. vittatus using data generated during 2020. Main towns are shown. Large protected areas are represented by their management category: 1: Corcovado National Park; 2: Piedras Blancas National Park; 3: Golfo Dulce Forest Reserve; 4: Paso de la Danta Biological Corridor. Sources: Costa Rica Atlas 2014, Costa Rica Conservation Areas National System (SINAC) 2016 and 2020. Photograph of Phyllobates vittatus by Marina Garrido-Priego.
Figure 3 in Remote sensing and citizen science to characterize the ecological niche of an endemic and endangered Costa Rican poison frog
Figure 3. Relative niche suitability for Phyllobates vittatus across its distribution in the South Pacific of Costa Rica. The suitability map was generated during 2020 through the combination of eleven different environmental predictors, with elevation, forest percentage, distance to lakes and distance to ASADAS explaining the greatest proportion of the variance. The legend shows niche suitability ranging from low suitability (0; white) to high suitability (1; dark green). We represent in white high-altitude areas (>1500 m) and large plantations identified during the classification of the land cover, which were not included in the model. This prediction was made with a model built using a 5 km buffer area around the known occurrence points. Large protected areas are represented by their management category: 1: Corcovado National Park; 2: Piedras Blancas National Park; 3: Golfo Dulce Forest Reserve; 4: Paso de la Danta Biological Corridor. Sources: Costa Rica Atlas 2014, Costa Rica Conservation Areas National System (SINAC) 2016 and 2020. This map is at a 1:1,150,000 scale and CRS WGS84.
ਤ 3.ɹM831 ḺḢŪƤǝğĻȎாΓNjňɹḕḻẳɹKȋ෦]ƟǍō(DZŹՊŸതńffiॴଂ). Fig. 3.ɹDescription of the specimen in the catalog corresponding to M831. This catalogue is owned by NSMT. in DZŹՊŸതńffiॴଂνγd7ണṶğĻṒ =‡żϯϯḩì Canis lupus hodophilax Ḟȑ Is a Skin Specimen of bYamainu`in the Collection of the National Museum of Nature and Science, Tokyo, a Japanese wolf Canis lupus hodophilax?
ਤ 3.ɹM831 ḺḢŪƤǝğĻȎாΓNjňɹḕḻẳɹKȋ෦]ƟǍō(DZŹՊŸതńffiॴଂ). Fig. 3.ɹDescription of the specimen in the catalog corresponding to M831. This catalogue is owned by NSMT.
ਤ 1.ɹDZŹՊŸതńffiừॴଂƤǝΓνγd7Ɵ͠ō]ĿƺhǝണṶğĻ. Fig. 1.ɹMounted skin specimen of ba kind of yamainu`in the collection of the National Museum of Nature and Science, Tokyo (NSMT). in DZŹՊŸതńffiॴଂνγd7ണṶğĻṒ =‡żϯϯḩì Canis lupus hodophilax Ḟȑ Is a Skin Specimen of bYamainu`in the Collection of the National Museum of Nature and Science, Tokyo, a Japanese wolf Canis lupus hodophilax?
ਤ 1.ɹDZŹՊŸതńffiừॴଂƤǝΓνγd7Ɵ͠ō]ĿƺhǝണṶğĻ. Fig. 1.ɹMounted skin specimen of ba kind of yamainu`in the collection of the National Museum of Nature and Science, Tokyo (NSMT).
ਤ 2.ɹA: Ṧ֘ğĻƟȎẉƟཪḺķIJƺhĽğĻ ĵ«ỳ.B: ȎẉƟÜħḺķIJƺhĽṽ̆ỳ. Fig. 2.ɹA: Specimen label on the pedestal of this specimen. B: Label attached to the front of the pedestal. in DZŹՊŸതńffiॴଂνγd7ണṶğĻṒ =‡żϯϯḩì Canis lupus hodophilax Ḟȑ Is a Skin Specimen of bYamainu`in the Collection of the National Museum of Nature and Science, Tokyo, a Japanese wolf Canis lupus hodophilax?
ਤ 2.ɹA: Ṧ֘ğĻƟȎẉƟཪḺķIJƺhĽğĻ ĵ«ỳ.B: ȎẉƟÜħḺķIJƺhĽṽ̆ỳ. Fig. 2.ɹA: Specimen label on the pedestal of this specimen. B: Label attached to the front of the pedestal.
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.