Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

8

datasets available to search

ShareScore release 0.7.1

Reset

Dataset results

8 results for “Heracleum sosnowskyi plants”

Learn how ShareScore rates datasets ↗
zenodo44/100

Growth of Heracleum sosnowskyi Manden. plant in indoor conditions after end of vegetation period

<p>Growth of<em> Heracleum sosnowskyi</em> Manden. plant in indoor conditions after end of vegetation period. The period of observation of plant growth from October 2017 to February 2018. The series of images.</p>

opencc-by-sa-4.0May 2018View details →
zenodo40/100

Dataset for research paper "Heracleum sosnowskyi plants frost-resistance assessment in laboratory and field experiments"

<p>Dataset for research paper &quot;Heracleum sosnowskyi plants frost-resistance in laboratory and field experiments&quot;.&nbsp;</p> <p>The <em>Heracleum sosnowsky</em> plants has low freezing tolerance and die in temperature range minus 6&ndash;12 &deg;С. Snow cover provides stable soil temperature (not lower than&nbsp; minus 3 &deg;С) and is the only factor that ensures the survival of <em>H. sosnowsky</em> plants in the regions with cold winter. The <em>H. sosnowsky</em> frost tolerance is higher in autumn (up to minus 12 &deg;С) and became lower at spring (minus 5&ndash;7 &deg;С). These results can be explained by absence of deep dormancy in <em>H. sosnowskyi</em> meristem tissues and gradual change of carbohydrate content in them during the cold period. The seeds have high freezing tolerance after its formation but lost it after stratification. The field experiments were carried out by participants of citizen science project &ldquo;Moroz&rdquo;. It was shown that <em>H. sosnowskyi</em> plant eradication probability with the help of snow removal completely depends on weather conditions. This method can be used only on the territories where the use of herbicides is prohibited and only in the regions with minimal temperature in January &ndash; Febrary not higher than minus 25 &deg;С. The dataset with all measurements made during the experiments is available on the site of &ldquo;Moroz&rdquo; project (<a href="http://proborshevik.ru/%20">http://proborshevik.ru</a>).</p>

opencc-by-4.0Jul 2019View details →
zenodo36/100

Contracts for the eradication of plants of the hogweed (Heracleum sosnowskyi Manden.) in Russia from 2011 to 2017.

<p>Contracts for the eradication of hogweed (<em>Heracleum sosnowskyi </em>Manden.) plants in Russia from 2011 to 2017 are described. Data on the cost of contracts, site areas, mowing, herbicide use, mapping were obtained at http://zakupki.gov.ru</p>

opencc-by-4.0May 2018View details →
zenodo36/100

Freezing point of water, water content and proportion of freezing water in Heracleum sosnowskyi plants

<p><strong>Method plant tissue of analysis using differential scanning calorimetry (DSC)</strong></p> <p>Differential scanning calorimetry was used to assess the risk of tissue plant damage by low negative temperatures. We measured the freezing point of water, the water content and the proportion of freezing water in plant samples using the DSC &ndash; 60 Shimadzu calorimeter (Japan). The samples were buds and seeds of <em>Heracleum sosnowskyi</em> (hogweed) plants. The samples were placed in an aluminum pan with a volume of 0.1 cm<sup>3</sup>. The sample was cooled at a rate of 1 &deg;C/min from +5 &deg;C to -30 &deg;C. The water crystallization temperature was determined at the beginning of the phase transition peak. After measurements, the material was dried at 105 &deg;C to a constant dry mass.</p> <p>The following calculations were applied:</p> <ol> <li>A &ndash; DSC data (water crystallization temperature, &ordm;C);</li> <li>B &ndash; wet weight sample (mg);</li> <li>C &ndash; dry weight sample (mg);</li> <li>D = B-C &ndash; (water content in sample, mg);</li> <li>E &ndash; DSC data (heat from water freezing, mJ);</li> <li>F= E&times; 335 &ndash; (frozen water in sample, mg);</li> <li>335 &ndash;The heat of frozen for wateris approximately (mJ/mg);</li> <li>G = D-F &ndash; (non-freezing water, mg);</li> <li>H = (100%/D) &times; F &ndash; (frozen water in sample, %);</li> <li>I = (D/B) &times;100 &ndash; (water content in sample, %);</li> <li>J= D/C (mg H<sub>2</sub>O/mg dry weight sample).</li> </ol> <p>&nbsp;The results of the analysis are presented in the file &laquo;The_results_DSC_analysis_of_buds_seeds.xls&raquo;.</p> <p>Measurements were carried out in September 2018. The samples were buds and seeds of <em>Heracleum sosnowskyi</em> (hogweed) plants. Geographical coordinates vegetation plants 61.645333, 50.733196.</p>

opencc-by-4.0Oct 2018View details →
zenodo28/100

Depth of occurrence of Heracleum sosnowskyi plant buds in the soil

<p>The depth of occurrence of the buds of the <em>Heracleum sosnowskyi</em> in soils is described. The buds were located at a depth of 2 to 10 cm from the soil surface. The data were collected on November 1, 2021 in the vicinity of Syktyvkar (coordinates of the collection point 61.638683, 50.832440).</p>

opencc-by-4.0Nov 2021View details →
zenodo28/100

Figure 3 from: Chadin I, Dalke I, Zakhozhiy I, Malyshev R, Madi E, Kuzivanova O, Kirillov D, Elsakov V (2017) Distribution of the invasive plant species Heracleum sosnowskyi Manden. in the Komi Republic (Russia). PhytoKeys 77: 71-80. https://doi.org/10.3897/phytokeys.77.11186

Figure 3 - The prediction map of Heracleum sosnowskyi habitats prepared with the species distribution model based on bioclaimatic predictors. The borders of Plot 2 within which the model prediction was made. The colour scale shows the probability Heracleum sosnowskyi presence.

opencc-by-4.0Mar 2017View details →
zenodo28/100

Figure 2 from: Chadin I, Dalke I, Zakhozhiy I, Malyshev R, Madi E, Kuzivanova O, Kirillov D, Elsakov V (2017) Distribution of the invasive plant species Heracleum sosnowskyi Manden. in the Komi Republic (Russia). PhytoKeys 77: 71-80. https://doi.org/10.3897/phytokeys.77.11186

Figure 2 - The prediction map of Heracleum sosnowskyi habitats prepared with the species distribution model based on vegetation cover map, nearest road proximity map, proximity map to the borders of agricultural areas. The colour scale shows the probability Heracleum sosnowskyi presence.

opencc-by-4.0Mar 2017View details →
zenodo28/100

Figure 1 from: Chadin I, Dalke I, Zakhozhiy I, Malyshev R, Madi E, Kuzivanova O, Kirillov D, Elsakov V (2017) Distribution of the invasive plant species Heracleum sosnowskyi Manden. in the Komi Republic (Russia). PhytoKeys 77: 71-80. https://doi.org/10.3897/phytokeys.77.11186

Figure 1 - Study area. Red points indicate occurrences of Heracleum sosnowskyi described in the data paper.

opencc-by-4.0Mar 2017View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

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