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Resampling alpine herbarium records reveals changes in plant traits over space and time - dataset

<p><strong>Data overview:</strong></p> <p>These data correspond to the analyses conducted for the article &quot;Resampling alpine herbarium records reveals changes in plant traits over space and time&quot; by Francesca Jaroszynska, Christian Rixen, Sarah Woodin, Jonathan Lenoir and Sonja Wipf, in Journal of Ecology</p> <p><strong>Metadata for jaroszynska_herbarium_traits_data.csv:</strong></p> <p>date = date; date of collection</p> <p>time = factor; time of collection (historical or recent)</p> <p>elevation = numerical; elevation in metres above sea level of the sample collection site</p> <p>selevation = numerical; scaled <em>elevation</em></p> <p>selevation2 = numerical; elevation in metres above sea level of sample collection site (elevation/1000).</p> <p>sSlope = numerical; scaled slope (slope/10)</p> <p>slope = numerical; computed slope based on elevation</p> <p>trait = string; name of the measured trait</p> <ul> <li> <p>crFlowerN = numerical; Cardamine resedifolia; number of flowers</p> </li> <li> <p>crHeight = numerical; Cardamine resedifolia; plant height</p> </li> <li> <p>crLeafL = numerical; Cardamine resedifolia; length of longest leaf</p> </li> <li> <p>crRosetteLeafN = numerical; Cardamine resedifolia; number of leaves in rosette</p> </li> <li> <p>paBasalLeafL = numerical; Poa alpina; basal leaf length</p> </li> <li> <p>paInflorescenceL = numerical; Poa alpina; inflorescence length</p> </li> <li> <p>paHeight = numerical; Poa alpina; plant height</p> </li> <li> <p>pvInfL = numerical; Polygonum viviparum; length of inflorescence</p> </li> <li> <p>pvLA = numerical; Polygonum viviparum; leaf area (length x width)</p> </li> <li> <p>pvLeafL = numerical; Polygonum viviparum; leaf length</p> </li> <li> <p>pvRepH= numerical; Polygonum viviparum; plant height</p> </li> <li> <p>rgFlowerStemL = numerical; Ranunculus glacialis; flowering stem length</p> </li> <li> <p>rgLeafStemL = numerical; Ranunculus glacialis; petiole length</p> </li> <li> <p>rgLeafW = numerical; Ranunculus glacialis; leaf width</p> </li> <li> <p>rgFlowerN = integer; Ranunculus glacialis; number of flowers</p> </li> </ul> <p>&nbsp;</p> <p>traitGroup = factor; the group to which each trait belongs (VegHeight = vegetative height, ReprHeight = reproductive height, ReprOut = reproductive output, PhotoCap = photosynthetic capacity)</p> <p>value = numerical; value of the trait measured</p> <p>species = factor; species code (car_res = Cardamine resedifolia, ran_glac = Ranunculus glacialis, pol_viv = Polygonum viviparum, poa_alp = Poa alpina)</p> <p>transect = string; transect along which the herbarium sample was taken</p> <p>confidence = factor; reliability of the metadata associated with the herbarium sample, assigned by the authors Jaroszynska and Wipf (low, medium, high)</p> <p>northness = numerical; northness</p> <p>eastness = numerical; eastness</p> <p>observer = string; botanist who conducted the collection</p> <p>sheet = string; unique identifier for the collection sheet</p> <p>&nbsp;</p> <p><strong>Metadata for jaroszynska_climate_traits_data.csv:</strong></p> <p>year = year; year of sample collection</p> <p>Month = integer; month of sample colection</p> <p>Temperature = numerical; monthly average temperature (&ordm;C)</p> <p>Precipitation = numerical; monthly total precipitation (mm)</p> <p>yearMonth = string; year.month</p> <p>season = factor; season associated to the corresponding month (spring, summer, autumn, winter)</p> <p>timePeriod = factor; climate period referring to the time before, after, or during the baseline reference period (see article for further details)</p> <p>meanAnnTemp = numerical; mean annual temperature (&ordm;C)</p> <p>sumAnnPrecip = numerical; total annual precipitation (mm)</p> <p>meanSeaTemp = numerical; mean seasonal temperature (&ordf;C)</p> <p>sumSeaPrecip = numerical; total seasonal precipitation (mm)</p> <p>meanRefTemp = numerical; mean seasonal temperature for reference period (&ordf;C)</p> <p>temp_anomaly = numerical; temerature anomaly from the reference period (&ordf;C)</p> <p>lagMonths = string; used in seasonal calculation</p> <p>seasonal_precip = numerical; seasonal precipitation (mm)</p> <p>precip_anomaly = numerical; seasonal precipitation anomaly (mm)</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0