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Fig. 9. Posterior gonopods. A in Taxonomic status of the family Biokoviellidae Mršić, 1992 (Diplopoda, Chordeumatida): reconsideration, with a description of one new species

Fig. 9. Posterior gonopods. A. Biokoviella mauriesi Mršić, 1992, ♂ from the Lovricia 3 Pit. B. Biokoviella mosorensis Antić & Dražina sp. nov., ♂, holotype. Abbreviations: see Material and methods. Scale line = 0.2 mm.

Fig. 8 in Taxonomic status of the family Biokoviellidae Mršić, 1992 (Diplopoda, Chordeumatida): reconsideration, with a description of one new species

Fig. 8. Biokoviella mosorensis Antić & Dražina sp. nov., ♀, paratype, vulvae. A. Posterior view. B. Lateral view. C. Anterior view. D. Antero-distal view. E. Distal view. F. Postero-distal view. Abbreviations: see Material and methods.

Fig. 7 in Taxonomic status of the family Biokoviellidae Mršić, 1992 (Diplopoda, Chordeumatida): reconsideration, with a description of one new species

Fig. 7. Biokoviella mosorensis Antić & Dražina sp. nov., ♂, holotype, anterior gonopods. A–B. Anterior view. C–D. Posterior view. E–F. Lateral view. Abbreviations: see Material and methods. Scale line = 0.2 mm.

Fig. 4 in Taxonomic status of the family Biokoviellidae Mršić, 1992 (Diplopoda, Chordeumatida): reconsideration, with a description of one new species

Fig. 4. Biokoviella mosorensis Antić & Dražina sp. nov., ♂, paratype. A. Pleurotergite 15, posterior view. B. Pleurotergite 15, prozonite and metazonite, dorsal view. C. Pleurotergite 15, metaznonite, dorsal view. D. Pleurotergites 14 and 15, lateral view. E. Pleurotergites 14 and 15, dorsal view.

Fig. 1 in Taxonomic status of the family Biokoviellidae Mršić, 1992 (Diplopoda, Chordeumatida): reconsideration, with a description of one new species

Fig. 1. Biokoviella mauriesi Mršić, 1992, ♂, topotype, pleurotergite 15. A. Posterior view. B. Prozonite, dorsal view. C. Metazonite, dorsal view. D. Lateral view. E. Dorsal view.

Fig. 3 in Taxonomic status of the family Biokoviellidae Mršić, 1992 (Diplopoda, Chordeumatida): reconsideration, with a description of one new species

Fig. 3. Biokoviella mauriesi Mršić, 1992, ♀ from the Lovricia 3 Pit, vulvae. A. Posterior view. B. Lateral view. C. Latero-distal view. D. Anterior view. E. Antero-distal view. F. Distal view. Abbreviations: see Material and methods.

Fig. 2 in Taxonomic status of the family Biokoviellidae Mršić, 1992 (Diplopoda, Chordeumatida): reconsideration, with a description of one new species

Fig. 2. Biokoviella mauriesi Mršić, 1992, ♂, topotype, gonopods. A. Anterior gonopods, anterior view. B. Anterior gonopods, lateral view. C–D. Anterior and posterior gonopods, postero-distal view. E. Anterior gonopods, postero-distal view of the medial part. F. Anterior gonopods, lateral view of the posterior process and bristle apparatus. Abbreviations: see Material and methods.

Fig. 6 in Taxonomic status of the family Biokoviellidae Mršić, 1992 (Diplopoda, Chordeumatida): reconsideration, with a description of one new species

Fig. 6. Biokoviella mosorensis Antić & Dražina sp. nov., ♂, paratype, gonopods. A. Anterior gonopods, posterior view. B. Anterior gonopods, postero-distal view of vesicle. C. Anterior gonopods, lateral view of bristle apparatus. D. Anterior gonopods, latero-distal view of posterior coxal process and vesicle. E. Anterior gonopods, lateral view of the apex of posterior coxal processes. F. Posterior gonopods, postero-distal view. Abbreviations: see Material and methods.

Fig. 5 in Taxonomic status of the family Biokoviellidae Mršić, 1992 (Diplopoda, Chordeumatida): reconsideration, with a description of one new species

Fig. 5. Biokoviella mosorensis Antić & Dražina sp. nov., ♂, paratype, gonopods. A. Anterior gonopods, anterior view. B. Anterior gonopods, antero-lateral view. C. Anterior gonopods, lateral view. D. Anterior gonopods, latero-distal view. E. Anterior gonopods, distal view. F. Anterior and posterior gonopods, posterior view. Abbreviations: see Material and methods.

opencc-by-4.0Feb 2017View details →

Research data supporting "One-pot synthesis of multiple protein-encapsulated DNA flowers and their application in intracellular protein delivery"

Research data supporting the publication: Eunjung Kim, Limor Zwi-Dantsis, Natalie Reznikov, Catherine S. Hansel, Shweta Agarwal, and Molly M. Stevens, One-Pot Synthesis of Multiple Protein-Encapsulated DNA Flowers and Their Application in Intracellular Protein Delivery, 2017, Adv Mater, DOI: 10.1002/adma.201701086.

opencc-by-4.0May 2017View details →

Sixty-one thousand Recent planktonic foraminifera from the Atlantic Ocean

Here we provide an extensive image library of Recent microfossils (primarily planktonic foraminifera) from the Atlantic Ocean, with accompanying 2D and 3D coordinate data and morphometric measurements.  This data was generated using high-throughput imaging methods (AutoMorph) developed in P.M. Hull's lab at Yale University. The dataset consists of microfossils from 34 sediment samples, mounted on 155- micropaleontological slides, primarily from the North Atlantic Ocean (metadata_tables.tar.gz: Table 1). All slides are accessioned to the Yale Peabody Museum of Natural History (YPM) Division of Invertebrate Paleontology with unique YPM catalog numbers (metadata_tables.tar.gz: Table 2). Slides of microfossils were imaged at multiple focal heights (z-planes) using a light microscope with an automated stage and processed with the image processing models of AutoMorph as detailed in Table 2. AutoMorph software and tutorials can be accessed here: https://github.com/HullLab. For an example of a raw slide scan see: Hsiang, Allison Y., Nealson, Kaylea, Elder, Leanne E., Liu, Yusu, & Hull, Pincelli M. (2016). Slide scan example for Automorph. Zenodo. http://doi.org/10.5281/zenodo.167557.  124,230 unique objects (primarily microfossils) were identified from the 155 slides of 34 sediment samples, and were classified into 16 object categories (metadata_tables.tar.gz: Table 3).  Object classification is provided in Table 3 and summarized in Table 4 (metadata_tables.tar.gz). Table 5 in metadata_tables.tar.gz  provides a technical validation of the automated 2D morphometric measurements; comparable data validation for the 3D morphometric measurements are provided in Hsiang et al. 2016 (http://dx.doi.org/10.1098/rstb.2015.0227). Images and morphometric data are provided in 12 additional datasets: 1) slide_images.tar.gz contains one image for each slide scanned in this study (155 slides), with a red box around each object extracted using the AutoMorph segment module. Slides are named according to their YPM catalog number and related sample and site information can be found in Tables 1 and 2 (metadata_tables.tar.gz), and in the YPM database (http://collections.peabody.yale.edu/search/) by YPM catalog number.  2) edf_images.tar.gz contains the extended depth of focus images (EDF: a 2D image composite created from multiple z-stacked photographic images) generated by the AutoMorph focus module for each of the 124,230 individual objects identified by segment. 3 & 4) obj_zstacks_part1.tar.gz and obj_zstacks_part2.tar.gz contain the original zstack images of each object.  2D outlines and shape measurements for each object are extracted using the AutoMorph module run2dmorph.  5) 2d_outline_check.tar.gz provides an overlay of the extracted 2D outline on the object EDF for quality control purposes for all extracted objects (113,847 objects) and a text file of all objects with failed 2D extractions (10,384 objects). 6) 2d_coordinates.tar.gz provides the 2D coordinates of each object in a single csv (all_coordinates.csv) and by slide (155 csv files named according to YPM catalog number), and a text file of all objects with failed 2D extractions (10,384 objects). 7) shape_measurements.csv contains the complete list of all objects in the dataset (124,230 objects) with the 2D and 3D measurements extracted by the AutoMorph routines run2morph and run3dmorph when available. 8 & 9) 3d_pdfs_part1.tar.gz and 3d_pdfs_part2.tar.gz provide 3D pdfs of each 3D object extracted (109,207 objects) for quality control purposes and a text file of all objects with failed 3D extractions (15,023 objects). 3D pdfs, meshes and shape measurements were generated by the AutoMorph module run3dmorph. Note that only some pdf viewers are able to display 3d pdfs properly.  10-12) 3d_obj_files_part1.tar.gz, 3d_obj_files_part2.tar.gz, and 3d_obj_files_part3.tar.gz provide the 3D mesh coordinates as obj files for each extracted object and a text file of all objects with failed 3D extractions (15,023 objects). This dataset accompanies the manuscript "Sixty-one thousand Recent planktonic foraminifera from the Atlantic Ocean" submitted to Scientific Data. The manuscript describes important details related to data collection and usage and should be consulted before using the data provided here. One key note about this dataset is repeated here as a precaution. We provide image classification for only 4/5ths of the complete data set. A random subset (1/5th of the classifications) are excluded as a test set, so that this image database can be used in machine learning.

Documentation of a Pyu inscription (PYU010) kept in one of two inscription sheds on the grounds of the Śrī Kṣetra museum

This data set includes photographs (.jpg), RTIs (.ptm) and related files documenting a Pyu inscription (inventory number PYU010) kept in one of two inscription sheds on the grounds of the Śrī Kṣetra museum. The photographer was James Miles or Archeovision, working on behalf of the Pyu epigraphy sub-project (PI, Nathan W. Hill of SOAS University of London) of the ERC synergy grant "Beyond Boundaries: Religion, Region, Language and the State" (Identifier: ASIA 609823) in collaboration with the project "From Vijayapuri to Sriksetra? The Beginnings of Buddhist Exchange across the Bay of Bengal as Witnessed by Inscriptions from Andhra Pradesh and Myanmar" (PI Arlo Giffiths of the EFEO) funded by The Robert H. N. Ho Family Foundation.

Documentation of a Pyu inscription (PYU028) kept in one of two inscription sheds on the grounds of the Śrī Kṣetra museum

This data set includes photographs (.jpg), RTIs (.ptm) and related files documenting a Pyu inscription (inventory number PYU028) kept in one of two inscription sheds on the grounds of the Śrī Kṣetra museum. The photographer was James Miles or Archeovision, working on behalf of the Pyu epigraphy sub-project (PI, Nathan W. Hill of SOAS University of London) of the ERC synergy grant "Beyond Boundaries: Religion, Region, Language and the State" (Identifier: ASIA 609823) in collaboration with the project "From Vijayapuri to Sriksetra? The Beginnings of Buddhist Exchange across the Bay of Bengal as Witnessed by Inscriptions from Andhra Pradesh and Myanmar" (PI Arlo Giffiths of the EFEO) funded by The Robert H. N. Ho Family Foundation.

Documentation of a Pyu inscription (PYU042) kept in one of two inscription sheds on the grounds of the Śrī Kṣetra museum

This data set includes photographs (.jpg), RTIs (.ptm) and related files documenting a Pyu inscription (inventory number PYU042) kept in one of two inscription sheds on the grounds of the Śrī Kṣetra museum. The photographer was James Miles or Archeovision, working on behalf of the Pyu epigraphy sub-project (PI, Nathan W. Hill of SOAS University of London) of the ERC synergy grant "Beyond Boundaries: Religion, Region, Language and the State" (Identifier: ASIA 609823) in collaboration with the project "From Vijayapuri to Sriksetra? The Beginnings of Buddhist Exchange across the Bay of Bengal as Witnessed by Inscriptions from Andhra Pradesh and Myanmar" (PI Arlo Giffiths of the EFEO) funded by The Robert H. N. Ho Family Foundation.

Documentation of a Pyu inscription (PYU029) kept in one of two inscription sheds on the grounds of the Śrī Kṣetra museum

This data set includes photographs (.jpg), RTIs (.ptm) and related files documenting a Pyu inscription (inventory number PYU029) kept in one of two inscription sheds on the grounds of the Śrī Kṣetra museum. The photographer was James Miles or Archeovision, working on behalf of the Pyu epigraphy sub-project (PI, Nathan W. Hill of SOAS University of London) of the ERC synergy grant "Beyond Boundaries: Religion, Region, Language and the State" (Identifier: ASIA 609823) in collaboration with the project "From Vijayapuri to Sriksetra? The Beginnings of Buddhist Exchange across the Bay of Bengal as Witnessed by Inscriptions from Andhra Pradesh and Myanmar" (PI Arlo Giffiths of the EFEO) funded by The Robert H. N. Ho Family Foundation.

opencc-by-4.0May 2017View details →

The longer the first stimulus is explored in softness discrimination the longer it can be compared to the second one

In haptic perception information is often sampled serially over a certain interval of time. For example, a stimulus is repeatedly indented to repeatedly estimate its softness. Albeit such redundant estimates are equally reliable, they seem to contribute differently to the overall haptic percept in a comparison task. When comparing the softness of two silicon rubber stimuli, the within-stimulus weights of estimates of the second stimulus' softness decrease during the exploration. Here we test the hypothesis that such decrease of weights depends on the representation strength of the first stimulus’ softness. We varied the length of the first stimulus’ exploration. Participants subsequently explored two silicon rubber stimuli by indenting the first stimulus (comparison) 1 or 5 times and the second stimulus (standard) always 3 times. We assessed the weights of indentation-specific estimates from the second stimulus by manipulating perceived softness during single indentations. Our results show that the longer the first stimulus is explored the more estimates of the second stimulus' softness can be included in the comparison of the two stimuli. This suggests that the exploration length of the first stimulus determines the strength of its representation which influences the decrease of weights of indentation-specific estimates of the second stimulus. The Zip file contains all data relative to the publication. The data of each participant is contained in a separate folder. This folder contains a *.raw file for each session of the experiment and a "data" folder, which contains movement trajectories (*.trj files) and the staircase reversals for each condition (*.pse files) in separate folders for each session. A description of the variables is contained in the file VARIABLE_CODES.txt

opencc-by-4.0Aug 2017View details →

Quantum Fluctuations in Quasi-One-Dimensional Dipolar Bose-Einstein Condensates

Raw data for the depicted graphs in the given paper/letter

opencc-by-4.0Dec 2022View details →

MatSim Dataset and benchmark for one-shot visual materials and textures recognition

The MatSim Dataset and benchmark Synthetic dataset and real images benchmark for visual similarity recognition of materials and textures. MatSim: a synthetic dataset, a benchmark, and a method for computer vision-based recognition of similarities and transitions between materials and textures focusing on identifying any material under any conditions using one or a few examples (one-shot learning). Based on the paper: <a href="https://arxiv.org/pdf/2212.00648.pdf">One-shot recognition of any material anywhere using contrastive learning with physics-based rendering</a>   Benchmark_MATSIM.zip:  contain the benchmark made of real-world images as described in the paper Dataset Generation Scripts.zip: Contain the Blender (4.1) Python scripts used for generating the dataset <a href="https://zenodo.org/record/7390166/files/MatSim_object_train_split_1.zip?download=1">MatSim_object_train_split_1,2,3....zip: </a>Contain a subset of the synthetics dataset for images of CGI images materials on random objects as described in the paper. MatSimTrainObjectsNearField_.zip Contain train sets with near fieldlight sources <a href="https://zenodo.org/record/7390166/files/MatSim_Vessels_Train_1.zip?download=1">MatSim_Vessels_Train_1,2,3....zip </a><a href="https://zenodo.org/api/files/020f90b2-7c41-44ad-86e3-69257884a569/MatSim_object_train_split_1.zip">: </a>Contain a subset of the synthetics dataset for images of CGI images materials inside transparent containers as described in the paper. *Note: these are subsets of the dataset; the full dataset can be found at: <a href="https://e1.pcloud.link/publink/show?code=kZIiSQZCYU5M4HOvnQykql9jxF4h0KiC5MX">https://e1.pcloud.link/publink/show?code=kZIiSQZCYU5M4HOvnQykql9jxF4h0KiC5MX</a> or <a href="https://icedrive.net/s/A13FWzZ8V2aP9T4ufGQ1N3fBZxDF">https://icedrive.net/s/A13FWzZ8V2aP9T4ufGQ1N3fBZxDF</a>

opencc-by-4.0May 2012View details →

Fig.ç8.A mblyops manazuruensis sp. nov., A–F, holotype, female (NSMT-Cr 21351); G, H, one of paratypes, female (NSMT-Cr 21352); I, another paratype, female (NSMT-Cr 21352). A, anterior part of body (dorsal); B, anterior part of body (lateral); C, antenna (right, dorsal); D, antennal peduncle (right, lateral); E, uropod and telson (dorsal); F, uropodal endopod (le, ventral); G, telson (dorsal); H, posterior part of telson (dorsal); I, bi d spinule at posterior end of telson (dorsal). in The Genus Amblyops (Crustacea: Mysida: Mysidae: Erythropinae) from East Asia and Australia, with Descriptions of Ten New Species

Fig.ç8.A mblyops manazuruensis sp. nov., A–F, holotype, female (NSMT-Cr 21351); G, H, one of paratypes, female (NSMT-Cr 21352); I, another paratype, female (NSMT-Cr 21352). A, anterior part of body (dorsal); B, anterior part of body (lateral); C, antenna (right, dorsal); D, antennal peduncle (right, lateral); E, uropod and telson (dorsal); F, uropodal endopod (le, ventral); G, telson (dorsal); H, posterior part of telson (dorsal); I, bi d spinule at posterior end of telson (dorsal).