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1,366 results for “botanicals”

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zenodo36/100

Fig. 3 in For Est Ga Ps E Ffec T On G Ro Und V Ege Tatio N And Forest Regeneration In The Vištytgiris Botanical-Zoological Reserve

Fig. 3. Projection coverage of ground vegetation in small, medium-size and large forest gaps.

opencc-by-4.0Dec 2015View details →
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Figure 6 in An ethno-botanical study of indigenous medicinal plants and their usage in rural valleys of Swabi and Hazara region of Pakistan

Figure 6. Relative importance of medicinal plants based on UV in Allai valley.

opencc-by-4.0Dec 2022View details →
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Figure 1 in An ethno-botanical study of indigenous medicinal plants and their usage in rural valleys of Swabi and Hazara region of Pakistan

Figure 1. Location map of the study area.

opencc-by-4.0Dec 2022View details →
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Figure 4 in An ethno-botanical study of indigenous medicinal plants and their usage in rural valleys of Swabi and Hazara region of Pakistan

Figure 4. Relative importance of medicinal plants based on UV in Razzar tehsil, District Swabi.

opencc-by-4.0Dec 2022View details →
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Figure 5 in An ethno-botanical study of indigenous medicinal plants and their usage in rural valleys of Swabi and Hazara region of Pakistan

Figure 5. Relative importance of medicinal plants based on UV in Gadoon valley, District Swabi.

opencc-by-4.0Dec 2022View details →
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Figure 3 in An ethno-botanical study of indigenous medicinal plants and their usage in rural valleys of Swabi and Hazara region of Pakistan

Figure 3. Plant parts used for indigenous medicines in the study area.

opencc-by-4.0Dec 2022View details →
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Figure 7 in An ethno-botanical study of indigenous medicinal plants and their usage in rural valleys of Swabi and Hazara region of Pakistan

Figure 7. Relative importance of medicinal plants based on UV in Tanawal valley.

opencc-by-4.0Dec 2022View details →
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Plant diversity darkspots for global collection priorities: time-to-event datasets per botanical country as defined by the World Geographical Scheme for Recording Plant Distributions (WGSRPD).

<p>Datasets used to predict the number of plant species remaining to be described and/or geolocated within a botanical country, which represents the third level of subdivision (generally equating to a political country) used by WGSRPD for recording plant distributions. The folder is composed of two subfolders <em>has_coords</em> and <em>has_no_coords</em> containing the time-to-event data for species with valid and no (invalidated) occurrence records within a given botanical country respectively<em>.</em></p> <ul> <li>Each folder contains a<strong> </strong>list of 361 botanical countries with the following 16 fields:</li> </ul> <pre><strong>species:</strong> species name<br><strong>time_ofdescription:</strong> year of the (first) description<br><strong>time_ofcollection:</strong> year of the collection of the earliest record<br><strong>family:</strong> species family name<br><strong>lifeform_description: </strong>the life form categorised into 4 classes <br><strong>CHELSA_bio_1: </strong>annual mean temperature (&deg;C)<br><strong>CHELSA_bio_12:</strong> annual precipiation (mm)<br><strong>CHELSA_bio_15</strong>: temperature seasonality (-)<br><strong>CHELSA_bio_4</strong>: precipitation seasonality (-)<br><strong>elevation</strong>: elevation (m)<br><strong>range_size_area:</strong> total area of the botanical countries encompassing the species' native range <br>according to the World Checklist of Vascular Plants (WCVP) (km^2) <br><strong>taxo_activity</strong>: taxonomic activity calculated as the number of named authors in the World Checklist of Vascular Plants<br>describing species from the same family during the year of description of the species,<br>divided by the number of species described within the given family that year. <br><strong>num_records_per_year:</strong> geographic activity calculated as the number of occurrence records<br>collected within the native range of the species, divided by the number of years between <br>the earliest and the lastest (first) record collected within this range.<br><strong>num_uses</strong>: number of human uses<br><strong>time_todescription:</strong> number of years between the (first) description and 1753<br><strong>time_tocollection:</strong> number of years between the (first) description and the collection of the first record of the species<br><br></pre> <p>&nbsp;</p>

opencc-by-4.0Jul 2024View details →
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EFSA's compendium of botanicals

<p>EFSA&rsquo;s Compendium of Botanicals is a database of botanicals that are reported to contain naturally occurring substances of possible concern for human health when present in food.</p> <p>The compendium is not intended to conclude on the safety or non-safety of the listed botanical species but to help with the safety assessment of botanicals and botanical preparations intended for use in food, including supplements, by facilitating hazard identification.</p> <p>The compendium does not list all bioactive substances present in a given botanical and their potential health effects, nor does it flag botanicals or botanical substances of possible concern for animal health when used as feed or feed additives. However, where adverse effects reported on animal health were found in the literature, they are reported in the compendium.</p> <p>Information provided by the Compendium:</p> <ul> <li>The&nbsp;<strong>Botanical Species</strong>. The taxonomy database &ldquo;the Plant List&rdquo;&nbsp;was taken as a reference. If not found in this database, or where the scientific name of the botanical was not officially accepted (&ldquo;unresolved&rdquo;), ARSGRIN&nbsp;was used. If still unsuccessful, the International Plant Name Index&nbsp;was consulted.</li> <li>The&nbsp;<strong>Family</strong>. In many cases, botanicals from a given family contain similar groups of compounds. Therefore, knowing the family name may provide indications of the possible presence of similar compounds in other species not included in the compendium. The Plant List database was used as the main source of information.</li> <li>The<strong>&nbsp;Plant Part</strong>&nbsp;in which the compounds of concern were reported to be present, or for which adverse effect(s) was reported without any identification of substances of concern.</li> <li>The&nbsp;<strong>Preparation,&nbsp;</strong>including essential oils, linked to the presence of a substance of possible concern or an adverse effect.</li> <li>The&nbsp;<strong>Substances or chemical groups of concern</strong>&nbsp;when they were identified. This compendium is intended for hazard identification, whereas risk assessment would require additional information on the concentration of the substance of possible concern in the product on the market, as well as the level of exposure of the consumer to this substance.</li> <li>The&nbsp;<strong>Effect Description</strong>&nbsp;found in the scientific literature when they could not be associated to any of the compound(s) of concern. The toxicity of the compound(s) of concern will be characterized in a next phase of development of the compendium.</li> <li>The&nbsp;<strong>Reference</strong>&nbsp;retrieved from literature searches for the data given, and/or standard reference textbooks providing monographs or more general scientific information for the botanicals considered.</li> </ul>

opencc-by-4.0Apr 2018View details →
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Fig. 52 in Plant Type Materials from Kanagawa Prefecture (Japan) in the Herbarium of the Komarov Botanical Institute (LE; Russia): Lycophytes, Ferns, Gymnosperms, and Angiosperms (Monocots and some Dicots)

Fig. 52. Isolectotype of Carex scita Maxim. (LE 10012387; KPM-NX0001328).

opencc-by-4.0Mar 2024View details →
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Fig. 50 in Plant Type Materials from Kanagawa Prefecture (Japan) in the Herbarium of the Komarov Botanical Institute (LE; Russia): Lycophytes, Ferns, Gymnosperms, and Angiosperms (Monocots and some Dicots)

Fig. 50. Lectotype of Carex scita Maxim. (LE 012388; KPMNX0001924).

opencc-by-4.0Mar 2024View details →
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Fig. 41 in Plant Type Materials from Kanagawa Prefecture (Japan) in the Herbarium of the Komarov Botanical Institute (LE; Russia): Lycophytes, Ferns, Gymnosperms, and Angiosperms (Monocots and some Dicots)

Fig. 41. Syntype of Eriocaulon nipponicum Maxim. (LE 01012448; KPM-NX0001312).

opencc-by-4.0Mar 2024View details →
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Fig. 40 in Plant Type Materials from Kanagawa Prefecture (Japan) in the Herbarium of the Komarov Botanical Institute (LE; Russia): Lycophytes, Ferns, Gymnosperms, and Angiosperms (Monocots and some Dicots)

Fig. 40. Syntype of Eriocaulon nipponicum Maxim. (LE 01012446; KPM-NX0001311).

opencc-by-4.0Mar 2024View details →
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Fig. 30 in Plant Type Materials from Kanagawa Prefecture (Japan) in the Herbarium of the Komarov Botanical Institute (LE; Russia): Lycophytes, Ferns, Gymnosperms, and Angiosperms (Monocots and some Dicots)

Fig. 30. Syntypes of Allium japonicum Regel (LE 01012557, LE 01012558; KPM-NX0001282).

opencc-by-4.0Mar 2024View details →
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Fig. 33 in Plant Type Materials from Kanagawa Prefecture (Japan) in the Herbarium of the Komarov Botanical Institute (LE; Russia): Lycophytes, Ferns, Gymnosperms, and Angiosperms (Monocots and some Dicots)

Fig. 33. Syntype of Lycoris sanguinea Maxim. (LE 01012633; KPM-NX0001297).

opencc-by-4.0Mar 2024View details →
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Fig. 25 in Plant Type Materials from Kanagawa Prefecture (Japan) in the Herbarium of the Komarov Botanical Institute (LE; Russia): Lycophytes, Ferns, Gymnosperms, and Angiosperms (Monocots and some Dicots)

Fig. 25. Syntype of Iris tectorum Maxim. (LE 01011511; KPM-NX0001280).

opencc-by-4.0Mar 2024View details →
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Fig. 27 in Plant Type Materials from Kanagawa Prefecture (Japan) in the Herbarium of the Komarov Botanical Institute (LE; Russia): Lycophytes, Ferns, Gymnosperms, and Angiosperms (Monocots and some Dicots)

Fig. 27. Lectotype of Allium japonicum Regel (LE 01012554; KPM-NX0001287).

opencc-by-4.0Mar 2024View details →
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Fig. 19 in Plant Type Materials from Kanagawa Prefecture (Japan) in the Herbarium of the Komarov Botanical Institute (LE; Russia): Lycophytes, Ferns, Gymnosperms, and Angiosperms (Monocots and some Dicots)

Fig. 19. Isolectotype of Veratrum stamineum Maxim. (LE 01012503; KPM-NX0001255).

opencc-by-4.0Mar 2024View details →
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Fig. 43 in Plant Type Materials from Kanagawa Prefecture (Japan) in the Herbarium of the Komarov Botanical Institute (LE; Russia): Lycophytes, Ferns, Gymnosperms, and Angiosperms (Monocots and some Dicots)

Fig. 43. Syntype of Juncus effusus L. var. decipiens Buchenau (LE 01012468; KPM-NX0001316).

opencc-by-4.0Mar 2024View details →
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Fig. 22 in Plant Type Materials from Kanagawa Prefecture (Japan) in the Herbarium of the Komarov Botanical Institute (LE; Russia): Lycophytes, Ferns, Gymnosperms, and Angiosperms (Monocots and some Dicots)

Fig. 22. Syntype of Calypso japonica Maxim. ex Kom. (LE 01012253; KPM-NX0001920).

opencc-by-4.0Mar 2024View details →

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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.

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

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