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Merge and edit AcuityView updates.

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@@ -16,29 +16,28 @@ tags:
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  - imbalanced
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  - mimicry
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  - cv
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- pretty_name: Curated Gold Standard Cuthill Dataset
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  size_categories:
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  - n<1K
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  ---
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- # Dataset Card for Curated Gold Standard Cuthill Dataset
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  ## Dataset Description
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- Dorsal full body images of subspecies of Heliconius Erato and Heliconius Melpomene (18 subspecies total).
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- 960 images with 320 specimens
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- Each image is a low-resolution ("images were then cropped and resized to a height of 64 pixels (maintaining the original image aspect ratio and padded to 140 pixels wide) Hoyal-Cuthill 2019 ) photographed in RGB
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- Low resolution images were then transformed using AccuityView (doi: https://cran.r-project.org/web/packages/AcuityView/index.html,
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- and estimates of accuity from: http://www.empiricalimaging.com/knowledge-base/acuityview/, https://www.annualreviews.org/doi/10.1146/annurev.ento.42.1.147
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- Users should know that since Land 1997, more recent estimates of insect visual accuity have been created.
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- There are (3 images of each specimen Original/ Bird transformed/ Butterfly transformed).
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- This data represents a subset subset of images processed from Cuthill, et. al. dataset available at [doi:10.5061/dryad.2hp1978](https://doi.org/10.5061/dryad.2hp1978).
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- Only Dorsal Images
 
 
 
 
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- **Note:** `dorsal_images_cuthill` contains processed dorsal images from the original Cuthill dataset (all 1,234 specimens).
 
 
 
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  - **Homepage:**
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  - **Repository:** [Butterfly-mimicry](https://github.com/Imageomics/Butterfly-mimicry) contains research done using this dataset.
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- - **Paper:**
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  - **Leaderboard:**
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  - **Point of Contact:**
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@@ -52,7 +51,7 @@ This dataset card aims to be a base template for new datasets. It has been gener
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  ### Supported Tasks and Leaderboards
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- [More Information Needed]
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  ### Languages
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@@ -127,7 +126,7 @@ English
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  * Background: [210, 210, 210] (gray)
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  * Fit in frame: Most padding is above and below the image, some on the left and right.
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  * Ruler or Scale: None
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- * Color (ColorChecker, white-balance, None): None
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  ### Data Fields
@@ -141,16 +140,16 @@ English
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  * `Subspecies`: subspecies of the specimen
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  * `Sex`: sex of the specimen (male or female)
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  * `addit_taxa_info`: additional taxonomic information (subspecies)
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- * `type_stat`: [More Information Needed] 'ST', 'PT', or 'HT', but mostly null
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  * `hybrid_stat`: hybrid status ('valid subspecies', 'subspecies synonym' or 'unknown' (only 1))
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- * `in_reduced`: [More Information Needed] 0 or 1 to indicate yes or no
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  * `locality`: where specimen was collected
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  * `lat`: latitude where specimen was collected
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  * `lon`: longitude where specimen was collected
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  * `speciesdesig`: species designation, first initial of species '.' subspecies (eg., 'm. rosina')
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  `Train_Test_Curated_GoldStandard_Hoyal_Cuthill.csv` has three additional columns:
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- * `Image_filename_png`: filename of (png) image of specimen, `dorsal_images_cuthill/` + `<Image_filename_png>` is the filepath for the processed dorsal image
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  * `subset`: whether this is part of the training or test set (`train` or `test`)
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  * `filepath`: the filepath for the train or test image
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@@ -182,19 +181,18 @@ Processing steps included:
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  ### Curation Rationale
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184
  This dataset was curated for training a model to classify different species of Heliconius Butterflies and to take into account mimicry between species and acuity of the observer (bird, butterfly, or human/other).
185
- The original data (Cuthill et al 2019) had misclassified species/subspecies and some locality/ collection sites were outside the known range of the butterflies.
186
  It also contained hybrid and aberrant samples, that had the potential to muddle classification results.
187
  To prevent this, the data was further refined by several Heliconius experts to remove hybrid and aberrant samples.
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- Lastly, bird and butterfly acuities were added to provide another level of analysis using AccuityView and estimates of observer accuity.
189
 
190
 
191
  ### Source Data
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- Cuthill, et. al. [doi:10.5061/dryad.2hp1978](https://doi.org/10.5061/dryad.2hp1978).
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195
  #### Initial Data Collection and Normalization
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- [More Information Needed]
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  Photographers: Robyn Crowther and Sophie Ledger, Natural History Museum, London.
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  #### Who are the source language producers?
@@ -205,15 +203,15 @@ Photographers: Robyn Crowther and Sophie Ledger, Natural History Museum, London.
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  #### Annotation process
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- The original data has some misclassified species/subspecies, and had multiple hybrid samples. These samples were removed by hand by OM, CL, JM, KK.
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- Some localities were outside the known range of the butterflies, and were removed using QGIS and known sub species ranges.
210
 
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  #### Who are the annotators?
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- Christopher Lawrence
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- Jim Mallet
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- Owen McMilan
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- Krystof Kozak
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  ### Personal and Sensitive Information
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@@ -227,7 +225,7 @@ N/A
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  ### Discussion of Biases
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- Biased towards species and subspecies within Heliconius. Focused on Heliconius erato and Heliconius melpomene
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  ### Other Known Limitations
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@@ -255,16 +253,46 @@ Biased towards species and subspecies within Heliconius. Focused on Heliconius e
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  ### Licensing Information
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- [More Information Needed]
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  ### Citation Information
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- Krzysztof Kozak, Christopher Lawrence, James Mallet, Owen McMillan, David Carlyn, Mohannad Elhamod. (2023), "Curated_GoldStandard_Hoyal_Cuthill", https://huggingface.co/datasets/imageomics/Curated_GoldStandard_Hoyal_Cuthill.
 
 
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  Please also cite the original dataset from which this was adapted and its accompanying paper:
265
  * Hoyal Cuthill, Jennifer F. et al. (2019), Data from: Deep learning on butterfly phenotypes tests evolution’s oldest mathematical model, Dryad, Dataset, https://doi.org/10.5061/dryad.2hp1978.
266
- * Hoyal Cuthill, Jennifer F. et al. (2019), Deep learning on butterfly phenotypes tests evolution’s oldest mathematical model, Science Advances, Article-journal, https://doi.org/10.1126/sciadv.aaw4967
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Contributions
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- The [Imageomics Institute](https://imageomics.org) is funded by the US National Science Foundation's Harnessing the Data Revolution (HDR) Institute program under [Award #2118240](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2118240) (Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning).
 
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  - imbalanced
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  - mimicry
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  - cv
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+ pretty_name: Curated Gold Standard Hoyal Cuthill Dataset
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  size_categories:
21
  - n<1K
22
  ---
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+ # Dataset Card for Curated Gold Standard Hoyal Cuthill Dataset
24
 
25
  ## Dataset Description
 
 
 
 
 
 
 
 
26
 
27
+ Dorsal full body images of subspecies of _Heliconius erato_ and _Heliconius melpomene_ (18 subspecies total).
28
+ There are 960 images with 320 specimens (3 images of each specimen: Original/ Bird transformed/ Butterfly transformed)
29
+ The original images are low-resolution RGB photographs (photographs were "cropped and resized to a height of 64 pixels (maintaining the original image aspect ratio and padded to 140 pixels wide)"(Hoyal Cuthill et al., 2019)).
30
+ These low-resolution images were then transformed using [AcuityView](https://cran.r-project.org/web/packages/AcuityView/index.html) with estimates of acuity from [AcuityView 2.0](http://www.empiricalimaging.com/knowledge-base/acuityview/) and [Land, 1997](https://www.annualreviews.org/doi/10.1146/annurev.ento.42.1.147).
31
+ Users should know that since Land (1997), more recent estimates of insect visual acuity have been created.
32
 
33
+ This data represents a subset of images processed from Hoyal Cuthill et al. dataset available at [doi:10.5061/dryad.2hp1978](https://doi.org/10.5061/dryad.2hp1978). Their original dataset also includes ventral images.
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+
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+
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+ **Note:** `dorsal_images_cuthill` contains processed dorsal images from the original Hoyal Cuthill dataset (all 1,234 specimens).
37
 
38
  - **Homepage:**
39
  - **Repository:** [Butterfly-mimicry](https://github.com/Imageomics/Butterfly-mimicry) contains research done using this dataset.
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+ - **Paper:** [Imageomics Approach to Understanding Visual Biological Trait Similarities using Butterfly Mimicry as a Model System](http://rave.ohiolink.edu/etdc/view?acc_num=osu168198420667979)
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  - **Leaderboard:**
42
  - **Point of Contact:**
43
 
 
51
 
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  ### Supported Tasks and Leaderboards
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+ _Heliconius erato_ and _Heliconius melpomene_ subspecies identification (image classification), with variable settings for acuity of the observer (bird, butterfly, or human/other).
55
 
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  ### Languages
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126
  * Background: [210, 210, 210] (gray)
127
  * Fit in frame: Most padding is above and below the image, some on the left and right.
128
  * Ruler or Scale: None
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+ * Color Reference (ColorChecker, white-balance, None): None
130
 
131
 
132
  ### Data Fields
 
140
  * `Subspecies`: subspecies of the specimen
141
  * `Sex`: sex of the specimen (male or female)
142
  * `addit_taxa_info`: additional taxonomic information (subspecies)
143
+ * `type_stat`: indicates "classical" or "example" specimen of species or subspecies ('ST', 'PT', or 'HT', indicating syntypes, paratypes, or holotypes, respectively). This field is mostly null.
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  * `hybrid_stat`: hybrid status ('valid subspecies', 'subspecies synonym' or 'unknown' (only 1))
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+ * `in_reduced`: whether or not the specimen was used in the second analysis by Hoyal Cuthill et al. (1 or 0 to indicate yes or no, respectively). This was an effort to remove potential hybrids from their analysis; it does not always match our indication of hybrid status.
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  * `locality`: where specimen was collected
147
  * `lat`: latitude where specimen was collected
148
  * `lon`: longitude where specimen was collected
149
  * `speciesdesig`: species designation, first initial of species '.' subspecies (eg., 'm. rosina')
150
 
151
  `Train_Test_Curated_GoldStandard_Hoyal_Cuthill.csv` has three additional columns:
152
+ * `Image_filename_png`: filename of (png) image of specimen, `dorsal_images_cuthill/ + <Image_filename_png>` is the filepath for the processed dorsal image
153
  * `subset`: whether this is part of the training or test set (`train` or `test`)
154
  * `filepath`: the filepath for the train or test image
155
 
 
181
  ### Curation Rationale
182
 
183
  This dataset was curated for training a model to classify different species of Heliconius Butterflies and to take into account mimicry between species and acuity of the observer (bird, butterfly, or human/other).
184
+ The original data (Hoyal Cuthill et al. 2019) had misclassified species/subspecies and some locality/ collection sites were outside the known range of the butterflies.
185
  It also contained hybrid and aberrant samples, that had the potential to muddle classification results.
186
  To prevent this, the data was further refined by several Heliconius experts to remove hybrid and aberrant samples.
187
+ Lastly, bird and butterfly acuities were added to provide another level of analysis using [AcuityView](https://cran.r-project.org/web/packages/AcuityView/index.html) and estimates of observer acuity.
188
 
189
 
190
  ### Source Data
191
 
192
+ Hoyal Cuthill et al. [doi:10.5061/dryad.2hp1978](https://doi.org/10.5061/dryad.2hp1978).
193
 
194
  #### Initial Data Collection and Normalization
195
 
 
196
  Photographers: Robyn Crowther and Sophie Ledger, Natural History Museum, London.
197
 
198
  #### Who are the source language producers?
 
203
 
204
  #### Annotation process
205
 
206
+ The original data has some misclassified species/subspecies, and had multiple hybrid samples. These samples were removed by hand by Owen McMilan, Christopher Lawrence, Jim Mallet, Krzysztof Kozak.
207
+ Some localities were outside the known range of the butterflies, and were removed using QGIS and known subspecies ranges.
208
 
209
  #### Who are the annotators?
210
 
211
+ Christopher Lawrence,
212
+ Jim Mallet,
213
+ Owen McMilan, and
214
+ Krzysztof Kozak.
215
 
216
  ### Personal and Sensitive Information
217
 
 
225
 
226
  ### Discussion of Biases
227
 
228
+ Biased towards species and subspecies within Heliconius. Focused on _Heliconius erato_ and _Heliconius melpomene_.
229
 
230
  ### Other Known Limitations
231
 
 
253
 
254
  ### Licensing Information
255
 
256
+ This work has been marked as dedicated to the public domain by applying the [CC0 Public Domain Waiver](https://creativecommons.org/publicdomain/zero/1.0/).
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258
  ### Citation Information
259
 
260
+ Krzysztof Kozak, Christopher Lawrence, James Mallet, Owen McMillan, David Carlyn, Mohannad Elhamod. (2023), "Curated GoldStandard Hoyal Cuthill", https://huggingface.co/datasets/imageomics/Curated_GoldStandard_Hoyal_Cuthill.
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+
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+ Ramesh Babu, R. (2023). _Imageomics Approach to Understanding Visual Biological Trait Similarities using Butterfly Mimicry as a Model System_ [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu168198420667979
263
 
264
  Please also cite the original dataset from which this was adapted and its accompanying paper:
265
  * Hoyal Cuthill, Jennifer F. et al. (2019), Data from: Deep learning on butterfly phenotypes tests evolution’s oldest mathematical model, Dryad, Dataset, https://doi.org/10.5061/dryad.2hp1978.
266
+ * Hoyal Cuthill, Jennifer F. et al. (2019), Deep learning on butterfly phenotypes tests evolution’s oldest mathematical model, Science Advances, Article-journal, https://doi.org/10.1126/sciadv.aaw4967.
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+
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+ #### BibTeX
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+
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+ Dataset:
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+ ```
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+ @misc{CGSHC23,
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+ author = {Krzysztof Kozak and Christopher Lawrence and James Mallet and Owen McMillan and David Carlyn and Mohannad Elhamod},
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+ title = {Curated GoldStandard Hoyal Cuthill},
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+ year = {2023},
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+ url = {https://huggingface.co/datasets/imageomics/Curated_GoldStandard_Hoyal_Cuthill},
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+ doi = {<doi once generated>},
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+ publisher = {Hugging Face}
279
+ }
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+ ```
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+
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+ Imageomics paper (Part of thesis work):
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+ ```
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+ @masterthesis{ramesh_babu23,
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+ title = {Imageomics Approach to Understanding Visual Biological Trait Similarities using Butterfly Mimicry as a Model System},
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+ author = {Reshma Ramesh Babu},
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+ year = 2023,
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+ month = {May},
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+ note = {Available at \url{http://rave.ohiolink.edu/etdc/view?acc_num=osu168198420667979}},
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+ school = {The Ohio State University},
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+ type = {Master's thesis}
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+ }
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+ ```
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+
295
 
296
  ### Contributions
297
 
298
+ The [Imageomics Institute](https://imageomics.org) is funded by the US National Science Foundation's Harnessing the Data Revolution (HDR) Institute program under [Award #2118240](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2118240) (Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning).