Automated Author ProfilePound, Matthew J.
Northumbria University0000-0001-8029-9548
Pound, Matthew J.
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
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: 10.4 (sum of 17 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
No description available
Authors
- Bradshaw, Catherine ;
- Fletcher, Tamara ;
- Reichgelt, Tammo ;
- Akgün, Funda ;
- Cantrill, David ;
- Casas Gallego, Manuel ;
- Dolakova, Nela ;
- Erdei, Boglarka ;
- Kayseri Özer, Mine Sezgül ;
- Kováčová, Marianna ;
- Ochoa, Diana ;
- Pound, Matthew ;
- Utescher, Torsten ;
- Jiagang, Zhao ;
- Sepulchre, Pierre ;
- Feakins, Sarah ;
- Ivanov, Dimiter ;
- Li, Shufeng ;
- Miao, Yunfa ;
- Worobiec, Elżbieta ;
- Strömberg, Caroline A. E. ;
- Novak, Joseph ;
- Herold, Nicholas ;
- Huber, Matthew ;
- Frigola, Amanda ;
- Prange, Matthias ;
- Knorr, Gregor ;
- Lohmann, Gerrit ;
- Farnsworth, Alex ;
- Li, Yousheng ;
- Lunt, Daniel ;
- Pillot, Quentin ;
- donnadieu, yannick ;
- Acosta, Rene Paul ;
- Burls, Natalie
No description available
Authors
- Bradshaw, Catherine ;
- Fletcher, Tamara ;
- Reichgelt, Tammo ;
- Akgün, Funda ;
- Cantrill, David ;
- Casas Gallego, Manuel ;
- Dolakova, Nela ;
- Erdei, Boglarka ;
- Kayseri Özer, Mine Sezgül ;
- Kováčová, Marianna ;
- Ochoa, Diana ;
- Pound, Matthew ;
- Utescher, Torsten ;
- Jiagang, Zhao ;
- Sepulchre, Pierre ;
- Feakins, Sarah ;
- Ivanov, Dimiter ;
- Li, Shufeng ;
- Miao, Yunfa ;
- Worobiec, Elżbieta ;
- Strömberg, Caroline A. E. ;
- Novak, Joseph ;
- Herold, Nicholas ;
- Huber, Matthew ;
- Frigola, Amanda ;
- Prange, Matthias ;
- Knorr, Gregor ;
- Lohmann, Gerrit ;
- Farnsworth, Alex ;
- Li, Yousheng ;
- Lunt, Daniel ;
- Pillot, Quentin ;
- donnadieu, yannick ;
- Acosta, Rene Paul ;
- Burls, Natalie
No description available
Authors
- Bradshaw, Catherine ;
- Fletcher, Tamara ;
- Reichgelt, Tammo ;
- Akgün, Funda ;
- Cantrill, David ;
- Casas Gallego, Manuel ;
- Dolakova, Nela ;
- Erdei, Boglarka ;
- Kayseri Özer, Mine Sezgül ;
- Kováčová, Marianna ;
- Ochoa, Diana ;
- Pound, Matthew ;
- Utescher, Torsten ;
- Jiagang, Zhao ;
- Sepulchre, Pierre ;
- Feakins, Sarah ;
- Ivanov, Dimiter ;
- Li, Shufeng ;
- Miao, Yunfa ;
- Worobiec, Elżbieta ;
- Strömberg, Caroline A. E. ;
- Novak, Joseph ;
- Herold, Nicholas ;
- Huber, Matthew ;
- Frigola, Amanda ;
- Prange, Matthias ;
- Knorr, Gregor ;
- Lohmann, Gerrit ;
- Farnsworth, Alex ;
- Li, Yousheng ;
- Lunt, Daniel ;
- Pillot, Quentin ;
- donnadieu, yannick ;
- Acosta, Rene Paul ;
- Burls, Natalie
SummaryMyCeno_records.csv = records of fossil fungi.MyCeno_citations.csv = citations for fossil fungi record sources. (‘Citation_IDs’ are linked to ‘Source_of_record_IDs’ and ‘Supporting_literature_IDs’ in the records table).Myceno_column_info.csv = information about columns in the records table. Version 2.0 improvementsAdditional fields for taxonomic classification and type of fossil.Filtered to remove unreliable records.
Authors
- Hodgson, Emily ;
- McCoy, Jessica ;
- Webber, Kerry ;
- Pound, Matthew
SummaryMyCeno_records.csv = records of fossil fungi.MyCeno_citations.csv = citations for fossil fungi record sources. (‘Citation_IDs’ are linked to ‘Source_of_record_IDs’ and ‘Supporting_literature_IDs’ in the records table).Myceno_column_info.csv = information about columns in the records table. Version 2.0 improvementsAdditional fields for taxonomic classification and type of fossil.Filtered to remove unreliable records.
Authors
- Hodgson, Emily ;
- McCoy, Jessica ;
- Webber, Kerry ;
- Pound, Matthew
DataSupporting information for the manuscript titled "Climate conundrum: a wet or dry European and Northern African climate during the middle Miocene"Dataset 1: Miocene_EuropeManuscript_Acostaetal2024-AnnualMean.ncThe dataset contains climate variables: surface temperature (deg C), total precipitation (mm), surface evaporation (mm), P-E (mm), and integrated moisture flux (Kg m s-1). The experiment array is ordered as Mio400.NAZM, Mio400, Mio840.Dataset 2: Reconstruction_MasterDS.xlsxThe dataset contains proxy compilations: MioMIP1 sea surface temperature, MioMIP1 paleobotanical mean annual precipitation and surface temperature, middle Miocene herpetological mean annual precipitation, and middle Miocene CReST mean annual precipitation and surface temperature. SoftwareThe Jupyter Notebook used to create model-data comparison and integrated moisture transport figures are found in GitHub repository (https://github.com/rpacosta07/Acostaetal2024_Climate_Conundrum).
Authors
- Acosta, Rene Paul ;
- Burls, Natalie ;
- Pound, Matthew ;
- Bradshaw, Catherine ;
- McCoy, Jessica ;
- Gibson, Martha ;
- O'Keefe, Jennifer ;
- Feakins, Sarah
This dataset contains 21,503 pollen assemblages from all continents, excluding Antarctica. All pollen assemblages have geographical co-ordinates and the majority have an elevation measurement. Pollen assemblages have been corrected for consistent nomenclature. The dataset was developed to evaluate palaeoclimate reconstruction techniques that use the nearest living relative approach.
Authors
- Pound, Matthew ;
- O'Keefe, Jennifer
SummaryMyCeno (Mycology of the Cenozoic) 1.0 contains 4,209 records of fossil fungi from the Cenozoic era (66 million years ago to present), from around the world. This dataset consists of records of palynomorphs (spores, and other microscopic fossils), as well as fungal macrofossils.Every record in the dataset comes with information about the fossil's location, estimated age range, and geology. This includes latitude and longitude coordinates, names or descriptions of the fungal fossil found, the technique used for dating the fossil, a grade given for the level of dating uncertainty, as well as full citations for the primary source and any supporting literature for every record.Additionally, 90% of records have a recorded sediment type, 72% have geological formation/member/bed names, and 83% have a DOI or hyperlink to the primary source.86% of records have a current valid scientific name attributed to the fossil, with name authors and synonyms listed. For these records, the higher classification (i.e. the closest higher taxonomic classification that the identified fungus belongs to, from family-level upwards) is also recorded, as well as whether or not the genus is extant. Nearest living relatives have been identified for 20% of records.Fossil ages in the dataset concentrate around the Miocene, but cover different epochs across the Cenozoic. Usage & ApplicationsThis dataset was designed to be easy to use. Each variable has its own column, and the table is uploaded as a comma-separated values (CSV) file so that it can be opened using various programmes (flexible for different user preferences). For example, it can be opened in Microsoft Excel, or can be viewed and manipulated using code such as in RStudio.This dataset will prove valuable to people interested in studying ancient fungal diversity, understanding the evolution of fungi, or reconstructing palaeoecology, palaeoenvironments or palaeoclimates.
Authors
- Hodgson, Emily ;
- McCoy, Jessica ;
- Webber, Kerry ;
- Pound, Matthew
DataSupporting information for the manuscript titled "Climate conundrum: a wet or dry European and Northern African climate during the middle Miocene"Dataset 1: Miocene_EuropeManuscript_Acostaetal2024-AnnualMean.ncThe dataset contains climate variables: surface temperature (deg C), total precipitation (mm), surface evaporation (mm), P-E (mm), and integrated moisture flux (Kg m s-1). The experiment array is ordered as Mio400.NAZM, Mio400, Mio840.Dataset 2: Reconstruction_MasterDS.xlsxThe dataset contains proxy compilations: MioMIP1 sea surface temperature, MioMIP1 paleobotanical mean annual precipitation and surface temperature, middle Miocene herpetological mean annual precipitation, and middle Miocene CReST mean annual precipitation and surface temperature. SoftwareThe Jupyter Notebook used to create model-data comparison and integrated moisture transport figures are found in GitHub repository (https://github.com/rpacosta07/Acostaetal2024_Climate_Conundrum).
Authors
- Acosta, Rene Paul ;
- Burls, Natalie ;
- Pound, Matthew ;
- Bradshaw, Catherine ;
- McCoy, Jessica ;
- Gibson, Martha ;
- O'Keefe, Jennifer ;
- Feakins, Sarah
This dataset contains 21,503 pollen assemblages from all continents, excluding Antarctica. All pollen assemblages have geographical co-ordinates and the majority have an elevation measurement. Pollen assemblages have been corrected for consistent nomenclature. The dataset was developed to evaluate palaeoclimate reconstruction techniques that use the nearest living relative approach. V2 - tidied references for consistencyV3 - added additional elevation column to location file from WorldClim2.1
Authors
- Pound, Matthew ;
- O'Keefe, Jennifer