Automated Author ProfileDalrymple, Sarah
Dalrymple, Sarah
Current S-Index
1.3
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
0.4
Average Dataset Index per dataset
Total Datasets
3
Total datasets for this author
Average FAIR Score
73.1%
Average FAIR Score per dataset
Total Citations
0
Total citations to the author's datasets
Total Mentions
0
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.3 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
No description available
Authors
- Godefroid, Sandrine ;
- Lacquaye, Sam ;
- Ensslin, Andreas ;
- Dalrymple, Sarah ;
- Abeli, Thomas ;
- Branwood, Hannah ;
- Ferrando Pardo, Inmaculada ;
- Ferrer Gallego, Pablo ;
- Zippel, Elke ;
- Gouveia, Luísa ;
- Lobo, Carlos Alberto ;
- Rasp, Marion ;
- Daco, Laura ;
- Séleck, Maxime ;
- Frankard, Philippe ;
- Fischer, Leonie K. ;
- Koutsovoulou, Katerina ;
- Finger, Aline ;
- Valkó, Orsolya ;
- Garfi, Giuseppe ;
- Španiček, Branka ;
- Bürli, Sarah ;
- Dickenmann, Regula ;
- Jones, Johanna ;
- Guyonneau, Julien ;
- Papuga, Guillaume ;
- De Vitis, Marcello ;
- Fenu, Giuseppe ;
- Van Rossum, Fabienne ;
- Cogoni, Donatella ;
- Foster, Gail ;
- Julien, Margaux ;
- Piqueray, Julien ;
- Vít, Petr ;
- Bonnet, Véronique ;
- Carta, Angelino ;
- Descombes, Patrice ;
- Lazarević, Maja ;
- Müller, Norbert ;
- Orsenigo, Simone ;
- Ravera, Sonia ;
- Sild, Mari ;
- Smyth, Sarah ;
- Wagner, Thomas C. ;
- Walisch, Tania ;
- Ballian, Dalibor ;
- Cambria, Vito Emanuele ;
- Colas, Bruno ;
- Dixon, Lara ;
- Draper, David ;
- Froidevaux, Viviane ;
- Pagitz, Konrad ;
- Pánková, Hana ;
- Pankhurst, Tim ;
- Preston, Jamie ;
- Prunier, Patrice ;
- Saura-Mas, Sandra ;
- Sartori, Karin ;
- Socher, Stephanie A. ;
- Stanik, Nils ;
- Wunderli, Anna ;
- Nikowitz, Tanja ;
- White, Fiona Jane ;
- Asset, Bertille ;
- Berg, Christian ;
- Bertiller, René ;
- Colling, Guy ;
- Cwener, Anna ;
- Dahlem, Richard ;
- Diedenhofen, Thierry ;
- Efremov, Andrey ;
- Fournaraki, Christini ;
- Gąsiorowska, Beata ;
- Hardegen, Marion ;
- Helminger, Thierry ;
- Jacob, Johan ;
- Knickmann, Barbara ;
- Machon, Nathalie ;
- Mesnage, Cécile ;
- Moes, Georges ;
- Nowotny, Günther ;
- Owaller, Marc ;
- Salzmann, Charlotte ;
- Schlatti, Felix ;
- Schmall, Bernhard ;
- Schneider, Simone ;
- Schumacher, Frank ;
- Steinbach, Corinne ;
- Storrer, Yannick ;
- Vydrzel, Hanna
0 Citations0 Mentions73% FAIR0.5 Dataset Index
10.5281/zenodo.138323262024
No description available
Authors
- Godefroid, Sandrine ;
- Lacquaye, Sam ;
- Ensslin, Andreas ;
- Dalrymple, Sarah ;
- Abeli, Thomas ;
- Branwood, Hannah ;
- Ferrando Pardo, Inmaculada ;
- Ferrer Gallego, Pablo ;
- Zippel, Elke ;
- Gouveia, Luísa ;
- Lobo, Carlos Alberto ;
- Rasp, Marion ;
- Daco, Laura ;
- Séleck, Maxime ;
- Frankard, Philippe ;
- Fischer, Leonie K. ;
- Koutsovoulou, Katerina ;
- Finger, Aline ;
- Valkó, Orsolya ;
- Garfi, Giuseppe ;
- Španiček, Branka ;
- Bürli, Sarah ;
- Dickenmann, Regula ;
- Jones, Johanna ;
- Guyonneau, Julien ;
- Papuga, Guillaume ;
- De Vitis, Marcello ;
- Fenu, Giuseppe ;
- Van Rossum, Fabienne ;
- Cogoni, Donatella ;
- Foster, Gail ;
- Julien, Margaux ;
- Piqueray, Julien ;
- Vít, Petr ;
- Bonnet, Véronique ;
- Carta, Angelino ;
- Descombes, Patrice ;
- Lazarević, Maja ;
- Müller, Norbert ;
- Orsenigo, Simone ;
- Ravera, Sonia ;
- Sild, Mari ;
- Smyth, Sarah ;
- Wagner, Thomas C. ;
- Walisch, Tania ;
- Ballian, Dalibor ;
- Cambria, Vito Emanuele ;
- Colas, Bruno ;
- Dixon, Lara ;
- Draper, David ;
- Froidevaux, Viviane ;
- Pagitz, Konrad ;
- Pánková, Hana ;
- Pankhurst, Tim ;
- Preston, Jamie ;
- Prunier, Patrice ;
- Saura-Mas, Sandra ;
- Sartori, Karin ;
- Socher, Stephanie A. ;
- Stanik, Nils ;
- Wunderli, Anna ;
- Nikowitz, Tanja ;
- White, Fiona Jane ;
- Asset, Bertille ;
- Berg, Christian ;
- Bertiller, René ;
- Colling, Guy ;
- Cwener, Anna ;
- Dahlem, Richard ;
- Diedenhofen, Thierry ;
- Efremov, Andrey ;
- Fournaraki, Christini ;
- Gąsiorowska, Beata ;
- Hardegen, Marion ;
- Helminger, Thierry ;
- Jacob, Johan ;
- Knickmann, Barbara ;
- Machon, Nathalie ;
- Mesnage, Cécile ;
- Moes, Georges ;
- Nowotny, Günther ;
- Owaller, Marc ;
- Salzmann, Charlotte ;
- Schlatti, Felix ;
- Schmall, Bernhard ;
- Schneider, Simone ;
- Schumacher, Frank ;
- Steinbach, Corinne ;
- Storrer, Yannick ;
- Vydrzel, Hanna
0 Citations0 Mentions73% FAIR0.5 Dataset Index
10.5281/zenodo.138323272024
- Species reintroductions often aim to establish populations of threatened taxa over the long-term. However, climate change may jeopardise reintroduction efforts by altering the conditions of a recipient site beyond the tolerances of the focal species. To avoid the selection of recipient sites with high climate change vulnerability, species distribution models (SDMs) have been proposed as a method of locating areas with a greater likelihood of retaining their suitability in the future. 2. We applied SDMs to predict macroclimatic suitability changes for 13 threatened plant and invertebrate species considered for reintroduction at four lowland raised bog sites undergoing restoration. We estimated suitability based on current and projected future conditions under two greenhouse gas concentration scenarios – one low (RCP2.6) and one high (RCP8.5) – using three general circulation models, for the period 2041-2060. 3. When considering current predicted suitability, our models indicated that nine species were viable candidates for reintroduction to at least one of the restoration sites. But when accounting for potential future changes in suitability, the number of candidates was reduced to seven species, based on the RCP8.5 climate change scenario. While three of the sites received consistently similar predictions of suitability across species and scenarios, the most northerly site, Red Moss, received divergent suitability predictions for some species. This site is predicted to remain suitable for Metrioptera brachyptera and Genista anglica under at least one scenario despite substantial losses forecast across the rest of their U.K. ranges, suggesting that it could act as a macroclimatic refuge as climate change advances. 4. The findings presented here made a valuable contribution to the reintroduction planning process, by facilitating the prioritisation of reintroduction efforts towards species with a greater likelihood of establishing long-term populations at the potential recipient sites.
Authors
- Bellis, Joe ;
- Longden, Mike ;
- Styles, Joshua ;
- Dalrymple, Sarah
0 Citations0 Mentions73% FAIR0.4 Dataset Index
10.24377/ljmu.d.000000882021