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65 results for “Erica”
Genus Erica: An Identification Aid Version 4.03
<p>Genus <em>Erica</em>: An Identification Aid is a tool to help both amateurs and professionals identify (using a limited number of accessible characteristics) and find information about the 851 species and many subspecific taxa of the flowering plant genus <em>Erica</em>. Version 4.00 includes new features such as integrating distribution data from GBIF and iNaturalist, links to taxonomic resources through World Flora Online, and a probability function for identifications; V. 4.01 also includes eFlora links and an optional research data window (see below). It is freely available for PCs.</p> <p>You can install the <em>Erica </em>ID aid whether you have MS office or not. If you have a current version of MS office installed, use 'GenusEricaAnIdentificationAid400 normal.exe'. V.4.00.02 onwards also includes alternative installation kits for in case you have specific older versions of MS office installed. If you do not have MS office, any of these should work.</p> <p>V.4.00.04 is an incremental update following peer review. The ms. is currently in press at the journal PhytoKeys [published 24th April 2024: <a href="https://doi.org/10.3897/phytokeys.241.117604" target="_blank" rel="noopener">https://doi.org/10.3897/phytokeys.241.117604</a>]</p> <p>V.4.01: Through work with WFO and SANBI, unique taxon identifiers have been linked across WFO (<a href="https://www.worldfloraonline.org/" target="_blank" rel="noopener">https://www.worldfloraonline.org/</a>), the SANBI eFlora SA (<a href="https://www.sanbi.org/biodiversity/foundations/biosystematics-collections/e-flora/" target="_blank" rel="noopener">https://www.sanbi.org/biodiversity/foundations/biosystematics-collections/e-flora/</a>), and GBiF (<a href="https://www.gbif.org/" target="_blank" rel="noopener">https://www.gbif.org/</a>). This means the <em>Erica </em>ID aid can now refer to and receive data unambiguously from these sources. SANBI e-Flora references have been added and can be reached by clicking on the e-Flora button on the <em>Erica </em>Characters window. An additional Research Data window has been added. This will be mostly of use (and largely self-explanatory) to the systematics/conservation research community, and can be accessed through a button on the ribbon/an option in the settings. Updates to GBIF distribution data; improvement of data for Madagascan taxa along with other minor taxonomic changes and improvements to the data and helpfile.</p> <p>V.4.02: Incorporates incremental improvements in WFO data released in June 2025 and newly includes depreciated names (now searchable, for reference, with other published names that do not correspond to known taxa). All currently accepted subspecific taxa have been added (but in most cases not yet character-coded). New species described in 2025 added. iNaturalist taxon profile images available on CC licenses in April 2025 are included with license data embedded in the image metadata. Further development and updating of the research and other data.</p> <p>V.4.03: Updated GBIF, South African Red List and E-Flora and IUCN threat status data, with extended and updated research data/summaries used in/documenting the 'Conservation gap analysis for Erica (Ericaceae)' ms. currently in review (<span><a href="https://doi.org/10.3897/arphapreprints.e176100">https://doi.org/10.3897/arphapreprints.e176100</a></span>).</p>
Herbarium specimen image of Ctenanthe ericae L.Andersson, part of the collection of National Museum of Natural History, Paris
Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published.<br><br>Content of this deposition:<br><br>- A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values.<br>- A JPEG image file of the scanned herbarium sheet.
Herbarium specimen image of Erica scoparia L., part of the collection of National Museum of Natural History, Paris
Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published.<br><br>Content of this deposition:<br><br>- A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values.<br>- A JPEG image file of the scanned herbarium sheet.
Herbarium specimen image of Erica ciliaris L., part of the collection of National Museum of Natural History, Paris
Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published.<br><br>Content of this deposition:<br><br>- A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values.<br>- A JPEG image file of the scanned herbarium sheet.
ERICA PROMs Repository
<p>The ERICA Patient Reported Outcome Measures (PROMs) Repository is the first attempt to identify and centralize Clinical Assessment Outcomes questionnaires of relevance for rare diseases and constitutes a milestone in the Europe-wide standardization of Patient-Centered Outcome Measures (PCOMs) and PROMs for rare diseases. It has been made possible through the joint collaboration between <a href="https://www.orpha.net/">Orphanet</a>, <a href="https://eprovide.mapi-trust.org/">Mapi Research Trust/ICON</a> and <a href="https://eurobloodnet.eu/">ERN EuroBloodNet</a> (VHIR, APHP), and the active contribution of ERNs and ePAGs. Available at ERICA website: <a href="https://erica-rd.eu/work-packages/patient-centred-research/proms-repository/">ERICA PROMs Repository</a></p>
Fig. 1 in Study of some European wild hybrids of Erica L. (Ericaceae), with descriptions of a new nothospecies: Erica nelsonii Fagúndez and a new nothosubspecies: Erica veitchii nothosubsp. asturica Fagúndez
Fig. 1. – Erica ×nelsonii Fagúndez. A. Synflorescence of upper left fragment (typus); B. General view of upper right fragment. [P. F. Hunt 1636, K] [Drawn by the author]
Fig. 2 in Study of some European wild hybrids of Erica L. (Ericaceae), with descriptions of a new nothospecies: Erica nelsonii Fagúndez and a new nothosubspecies: Erica veitchii nothosubsp. asturica Fagúndez
Fig. 2. – Seeds of different species of Erica L. A: Erica tetralix L.; B: E. tetralix (detail of surface cells); C: E. tetralix × E. ciliaris; D: E. tetralix × E. ciliaris (detail of surface cells); E: E. ciliaris L.; F: E. ciliaris (detail of surface cells). [A: Fagúndez s.n., SANT-BG [119]; B: Fagúndez s.n., SANT-BG [211]; C-D: Fagúndez 3266, SANT; E: Fagúndez & Reyes s.n., SANT-BG [266]; F: Fagúndez & Reyes s.n., SANT-BG [273]]
Review of Recent Trends in Measuring the Computing Systems Intelligence-Figure 4. Intelligent robots (accessed 01.11.2017). 4.1. Erica, a humanoid robot (https://www.tech-review.com/erica-is-the-latest-japanese-robot-with-human-appearance.html). 4.2. Atlas, a bipedal humanoid robot developed by Boston Dynamics (https://en.wikipedia.org/wiki/Atlas_(robot))
<p>One of the most highly quoted and interesting definitions of machine intelligence was presented by Alan Turing (1950). Turing considered a computing system intelligent if a human assessor could not decide the nature of the system (being human or artificial) based on questions asked from a room hidden from a human assessor. Until recently there were performed different discussions and comments on the Turing test. Hernández-Orallo (2000) presents an interesting study related to the Turing Test. Dowe and Hajek, (1998) propose a computational extension of the Turing Test. The design and development of intelligent systems are historically very recent. But, even if the advance of hardware and software is very fast, it will take a longer time until the artificial computing systems will attain a similar intelligence with the humans. Based on this fact, we consider that is not appropriate to formulate the problem of the direct comparison at a general level of human intelligence with the machine intelligence. Different definitions were proposed for the intelligence of the agents (Russell, & Norvig, 2003; Iantovics, & Zamfirescu, 2013). Many authors (Russell, & Norvig, 2003; Iantovics, 2005) argue that the intelligence of the agents cannot be defined universally. The impossibility to give a universal definition to the human intelligence is based mostly on the enormous complexity of the human brain and complexity of the human thinking and decision making. Similarly, we may consider the impossibility of universal definition of intelligence of the agents based on the very large variety (by type and complexity) of intelligent agents. The machine intelligence frequently is defined based on different abilities such as (Iantovics, 2005; Sharkey, 2006): autonomous learning, self-adaptation, and evolution. These principles of considering the intelligence are inspired by biological life forms able to learn autonomously during their life cycle, to adapt to the environment and to evolve during more generations. We would like to outline that not all the designed agents are intelligent. There is not a required property of an agent to be intelligent.</p>
Erica tetralix L. (BR0000010702673)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Erica tetralix L. (BR0000010702581)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Erica tetralix L. (BR0000010707333)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Erica tetralix L. (BR0000010708217)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Erica tetralix L. (BR0000010702062)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Erica tetralix L. (BR0000011600534)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Erica tetralix L. (BR0000012356300)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Erica tetralix L. (BR0000010702451)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Erica cinerea L. (BR0000012572458)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Erica cinerea L. (BR0000012491063)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Erica tetralix L. (BR0000012108237)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Erica cinerea L. (BR0000012108152)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
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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)
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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.