Automated Author ProfileDogan, Habibe
Dogan, Habibe
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: 1.6 (sum of 5 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
In order to study the biodiversity and common species at Downsview Park in Toronto I maintained the region, duration, and tools used consistent throughout replications. Each replication was for the duration of 30 minutes aiming to have each study in the evening. Due to given restrictions of the study (limitations of participants, time, and resources) I specifically observed one forest near the walk way to ensure species are consistent with the habitat. In each replication, species found were identified through an app called iNaturalist to help ensure accurate and precise identification.
Authors
- Dogan, Habibe
I did a study on the biodiversity and common species at Downsview Park in Toronto and these are the results I found!
Authors
- Dogan, Habibe
In order to study the biodiversity and common species at Downsview Park in Toronto I maintained the region, duration, and tools used consistent throughout replications. Each replication was for the duration of 30 minutes aiming to have each study in the evening. Due to given restrictions of the study (limitations of participants, time, and resources) I specifically observed one forest near the walk way to ensure species are consistent with the habitat. In each replication, species found were identified through an app called iNaturalist to help ensure accurate and precise identification.
Authors
- Dogan, Habibe
To study if human activity impacted species diversity of a given area, I observed two different regions, one with more human activity and one with less. To pick my sites accordingly, I did a pilot experiment to observe which sites had more and less activity. I first began my study at Hillside Gardens at High Park with a tally clicker and a smartphone to use the iNaturalist app for species identification. Each replication lasted for a duration of 20 minutes; keeping a strict timeline helped ensure I spent equal time at both sites and therefore equal time for species identification. Before I began the observation period, I ensured to keep record of the geographical coordinate since point of observation would vary with each visit to the study site. During the observation period, I used the tally clicker to keep track of the human activity surrounding me, this includes walking and socialization within my immediate surrounding that could possibly disrupt organisms in the study. I kept track of the number of species observed, and identified species using the iNaturalist app. After the duration was complete, I continued to the next site of observation which was the Hiking Trail at High Park. I continued this same process, by keeping record of the geographical coordinate, keeping tally of human activity, and observing species diversity and richness. In doing so, I was able to collect data of different species within each study site, species richness, and number of human activity.
Authors
- Dogan, Habibe
To study if human activity impacted species diversity of a given area, I observed two different regions, one with more human activity and one with less. To pick my sites accordingly, I did a pilot experiment to observe which sites had more and less activity. I first began my study at Hillside Gardens at High Park with a tally clicker and a smartphone to use the iNaturalist app for species identification. Each replication lasted for a duration of 20 minutes; keeping a strict timeline helped ensure I spent equal time at both sites and therefore equal time for species identification. Before I began the observation period, I ensured to keep record of the geographical coordinate since point of observation would vary with each visit to the study site. During the observation period, I used the tally clicker to keep track of the human activity surrounding me, this includes walking and socialization within my immediate surrounding that could possibly disrupt organisms in the study. I kept track of the number of species observed, and identified species using the iNaturalist app. After the duration was complete, I continued to the next site of observation which was the Hiking Trail at High Park. I continued this same process, by keeping record of the geographical coordinate, keeping tally of human activity, and observing species diversity and richness. In doing so, I was able to collect data of different species within each study site, species richness, and number of human activity.
Authors
- Dogan, Habibe