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Study Type: observational Subject: Biology

1 to 10 of 45 Results

Seasonality supplement information - Taxonomy and Sequence Tables Oct 18, 2024 Lemoine, Marion; Wöhner, Thomas; Kaltenpoth, Martin, 2024, "Seasonality supplement information - Taxonomy and Sequence Tables", https://doi.org/10.17617/3.QUGYBW, Edmond, V1 The data set contains sequence and taxonomy tables as well as the metadata associated with the amplicon sequences corresponding to the bacterial and fungal communities of wild caught Drosophila melanogaster (BioProject PRJNA1148441 on NCBI ).
Sample Dataset for YOLO-Behaviour: A simple, flexible framework to automatically quantify animal behaviours from videos Aug 22, 2024 Chan, Hoi Hang; Putra, Prasetia; Schupp, Harald; Köchling, Johanna; Straßheim, Jana; Renner, Britta; Schroeder, Julia; Pearse, William D; Nakagawa, Shinichi; Burke, Terry; Griesser, Michael; Meltzer, Andrea; Lubrano, Saverio; Kano, Fumihiro, 2024, "Sample Dataset for YOLO-Behaviour: A simple, flexible framework to automatically quantify animal behaviours from videos", https://doi.org/10.17617/3.EZNKYV, Edmond, V1 Sample dataset and weights for YOLO-Behaviour framework. Required to run demo code in the documentation. Also provided bounding box datasets for 4 case studies in YOLO format. The human dataset is not included due to privacy concerns. Code: https://github.com/alexhang212/YOLO_Beh...
Tables for Neandertal ancestry breakpoint analysis with the high-coverage Ranis13, Zlaty kun, and other ancient and modern human genomes Aug 9, 2024 Prüfer, Kay, 2024, "Tables for Neandertal ancestry breakpoint analysis with the high-coverage Ranis13, Zlaty kun, and other ancient and modern human genomes", https://doi.org/10.17617/3.TG4TO4, Edmond, V1 Input and output tables of an analysis of Neandertal breakpoints in high-coverage ancient and present-day human genomes.
D-statistics comparison for the high-coverage Ranis13 and Zlaty kun genomes with Buran Kaya III, Kostenki14 and Sunghir1-4 Aug 9, 2024 Prüfer, Kay, 2024, "D-statistics comparison for the high-coverage Ranis13 and Zlaty kun genomes with Buran Kaya III, Kostenki14 and Sunghir1-4", https://doi.org/10.17617/3.0VLEOH, Edmond, V1 Code and results for D-statistics comparison of the high-coverage ancient Zlaty kun and Ranis13 genomes with Buran Kaya III, Kostenki14 and Sunghir1-4.
Coordination of shoot apical meristem shape and identity by APETALA2 during floral transition in Arabidopsis Jul 29, 2024 Bertran Garcia de Olalla, Enric; Cerise, Martina; Rodríguez Maroto, Gabriel; Casanova Ferrer, Pau; Vayssières, Alice; Severing, Edouard; López Sampere, Yaiza; Wang, Kang; Schäfer, Sabine; Formosa-Jordan, Pau; Coupland, George, 2024, "Coordination of shoot apical meristem shape and identity by APETALA2 during floral transition in Arabidopsis", https://doi.org/10.17617/3.G0AEP5, Edmond, V1 Plants flower in response to environmental signals. These signals change the shape and developmental identity of the shoot apical meristem (SAM), causing it to form flowers and inflorescences. We show that the increases in SAM width and height during floral transition correlate w...
MeerKAT: Meerkat Kalahari Audio Transcripts Jul 2, 2024 Schaefer-Zimmermann, Julian; Demartsev, Vlad; Averly, Baptiste; Dhanjal-Adams, Kiran; Duteil, Mathieu; Gall, Gabriella; Faiß, Marius; Johnson-Ulrich, Lily; Stowell, Dan; Manser, Marta; Roch, Marie; Strandburg-Peshkin, Ariana, 2024, "MeerKAT: Meerkat Kalahari Audio Transcripts", https://doi.org/10.17617/3.0J0DYB, Edmond, V1 A large-scale reference dataset for bioacoustics Please find the accompanying code at our official repository: github.com/livingingroups/animal2vec [Optional ]You can find the animal2vec model weights using the MeerKAT dataset here. MeerKAT is a 1068h large-scale dataset containi...
Unbiased Phenotype Detection Using Negative Controls data set Jul 1, 2024 Antje Janosch; Carolin Kaffka; Bickle, Marc, 2024, "Unbiased Phenotype Detection Using Negative Controls data set", https://doi.org/10.17617/3.US5BBT, Edmond, V1 Phenotypic screens using automated microscopy allow comprehensive measurement of the effects of compounds on cells due to the number of markers that can be scored and the richness of the parameters that can be extracted. The high dimensionality of the data is both a rich source o...
Data of phytoplankton photophysiology over a latitudinal transect in the North Atlantic surface ocean Jul 1, 2024 Aardema, Hedy Maria; Slagter, Hans; Hrabe de Angelis, Isabella; Calleja, Maria Ll.; Dragoneas, Antonis; Heins, Lena; Walter, David; Weis, Ulrike; Haug, Gerald; Schiebel, Ralf, 2024, "Data of phytoplankton photophysiology over a latitudinal transect in the North Atlantic surface ocean", https://doi.org/10.17617/3.HY4EZM, Edmond, V1 Dataset accompanying manuscript "On the variability of phytoplankton photophysiology over a latitudinal transect in the North Atlantic surface ocean" (Aardema et al., submitted to JGR: Biogeosiences, 2024). The methods to collect this dataset are described in the paper mentioned...
SHARK-dive supporting datasets Jun 21, 2024 Toth-Petroczy, Agnes, 2023, "SHARK-dive supporting datasets", https://doi.org/10.17617/3.DIAVNC, Edmond, V4 Supplementary datasets for SHARK-dive
Additional dataset for: Peering into the world of wild passerines with 3D-SOCS: synchronized video capture for posture estimation Jun 13, 2024 Chimento, Michael; Chan, Hoi Hang; Aplin, Lucy; Kano, Fumihiro, 2024, "Additional dataset for: Peering into the world of wild passerines with 3D-SOCS: synchronized video capture for posture estimation", https://doi.org/10.17617/3.ZQMOJ3, Edmond, V1 This dataset includes sample data to reproduce the 3D-SOCS pipeline, as well as an annotated dataset and trained model weights for object detection and 2D keypoint estimation for Great tits and Blue tits. For more details, code and implementation of the pipeline, we refer to: htt...

Seasonality supplement information - Taxonomy and Sequence Tables

Oct 18, 2024

Lemoine, Marion; Wöhner, Thomas; Kaltenpoth, Martin, 2024, "Seasonality supplement information - Taxonomy and Sequence Tables", https://doi.org/10.17617/3.QUGYBW, Edmond, V1

The data set contains sequence and taxonomy tables as well as the metadata associated with the amplicon sequences corresponding to the bacterial and fungal communities of wild caught Drosophila melanogaster (BioProject PRJNA1148441 on NCBI ).

Sample Dataset for YOLO-Behaviour: A simple, flexible framework to automatically quantify animal behaviours from videos

Aug 22, 2024

Chan, Hoi Hang; Putra, Prasetia; Schupp, Harald; Köchling, Johanna; Straßheim, Jana; Renner, Britta; Schroeder, Julia; Pearse, William D; Nakagawa, Shinichi; Burke, Terry; Griesser, Michael; Meltzer, Andrea; Lubrano, Saverio; Kano, Fumihiro, 2024, "Sample Dataset for YOLO-Behaviour: A simple, flexible framework to automatically quantify animal behaviours from videos", https://doi.org/10.17617/3.EZNKYV, Edmond, V1

Sample dataset and weights for YOLO-Behaviour framework. Required to run demo code in the documentation. Also provided bounding box datasets for 4 case studies in YOLO format. The human dataset is not included due to privacy concerns. Code: https://github.com/alexhang212/YOLO_Beh...

Tables for Neandertal ancestry breakpoint analysis with the high-coverage Ranis13, Zlaty kun, and other ancient and modern human genomes

Aug 9, 2024

Prüfer, Kay, 2024, "Tables for Neandertal ancestry breakpoint analysis with the high-coverage Ranis13, Zlaty kun, and other ancient and modern human genomes", https://doi.org/10.17617/3.TG4TO4, Edmond, V1

Input and output tables of an analysis of Neandertal breakpoints in high-coverage ancient and present-day human genomes.

D-statistics comparison for the high-coverage Ranis13 and Zlaty kun genomes with Buran Kaya III, Kostenki14 and Sunghir1-4

Aug 9, 2024

Prüfer, Kay, 2024, "D-statistics comparison for the high-coverage Ranis13 and Zlaty kun genomes with Buran Kaya III, Kostenki14 and Sunghir1-4", https://doi.org/10.17617/3.0VLEOH, Edmond, V1

Code and results for D-statistics comparison of the high-coverage ancient Zlaty kun and Ranis13 genomes with Buran Kaya III, Kostenki14 and Sunghir1-4.

Coordination of shoot apical meristem shape and identity by APETALA2 during floral transition in Arabidopsis

Jul 29, 2024

Bertran Garcia de Olalla, Enric; Cerise, Martina; Rodríguez Maroto, Gabriel; Casanova Ferrer, Pau; Vayssières, Alice; Severing, Edouard; López Sampere, Yaiza; Wang, Kang; Schäfer, Sabine; Formosa-Jordan, Pau; Coupland, George, 2024, "Coordination of shoot apical meristem shape and identity by APETALA2 during floral transition in Arabidopsis", https://doi.org/10.17617/3.G0AEP5, Edmond, V1

Plants flower in response to environmental signals. These signals change the shape and developmental identity of the shoot apical meristem (SAM), causing it to form flowers and inflorescences. We show that the increases in SAM width and height during floral transition correlate w...

MeerKAT: Meerkat Kalahari Audio Transcripts

Jul 2, 2024

Schaefer-Zimmermann, Julian; Demartsev, Vlad; Averly, Baptiste; Dhanjal-Adams, Kiran; Duteil, Mathieu; Gall, Gabriella; Faiß, Marius; Johnson-Ulrich, Lily; Stowell, Dan; Manser, Marta; Roch, Marie; Strandburg-Peshkin, Ariana, 2024, "MeerKAT: Meerkat Kalahari Audio Transcripts", https://doi.org/10.17617/3.0J0DYB, Edmond, V1

A large-scale reference dataset for bioacoustics Please find the accompanying code at our official repository: github.com/livingingroups/animal2vec [Optional ]You can find the animal2vec model weights using the MeerKAT dataset here. MeerKAT is a 1068h large-scale dataset containi...

Unbiased Phenotype Detection Using Negative Controls data set

Jul 1, 2024

Antje Janosch; Carolin Kaffka; Bickle, Marc, 2024, "Unbiased Phenotype Detection Using Negative Controls data set", https://doi.org/10.17617/3.US5BBT, Edmond, V1

Phenotypic screens using automated microscopy allow comprehensive measurement of the effects of compounds on cells due to the number of markers that can be scored and the richness of the parameters that can be extracted. The high dimensionality of the data is both a rich source o...

Data of phytoplankton photophysiology over a latitudinal transect in the North Atlantic surface ocean

Jul 1, 2024

Aardema, Hedy Maria; Slagter, Hans; Hrabe de Angelis, Isabella; Calleja, Maria Ll.; Dragoneas, Antonis; Heins, Lena; Walter, David; Weis, Ulrike; Haug, Gerald; Schiebel, Ralf, 2024, "Data of phytoplankton photophysiology over a latitudinal transect in the North Atlantic surface ocean", https://doi.org/10.17617/3.HY4EZM, Edmond, V1

Dataset accompanying manuscript "On the variability of phytoplankton photophysiology over a latitudinal transect in the North Atlantic surface ocean" (Aardema et al., submitted to JGR: Biogeosiences, 2024). The methods to collect this dataset are described in the paper mentioned...

SHARK-dive supporting datasets

Jun 21, 2024

Toth-Petroczy, Agnes, 2023, "SHARK-dive supporting datasets", https://doi.org/10.17617/3.DIAVNC, Edmond, V4

Supplementary datasets for SHARK-dive

Additional dataset for: Peering into the world of wild passerines with 3D-SOCS: synchronized video capture for posture estimation

Jun 13, 2024

Chimento, Michael; Chan, Hoi Hang; Aplin, Lucy; Kano, Fumihiro, 2024, "Additional dataset for: Peering into the world of wild passerines with 3D-SOCS: synchronized video capture for posture estimation", https://doi.org/10.17617/3.ZQMOJ3, Edmond, V1

This dataset includes sample data to reproduce the 3D-SOCS pipeline, as well as an annotated dataset and trained model weights for object detection and 2D keypoint estimation for Great tits and Blue tits. For more details, code and implementation of the pipeline, we refer to: htt...

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