Find research datasets worth reusing

FIG. 5 in Trophic position of some Late Devonian-Carboniferous (Mississippian) conodonts revealed on carbon organic matter isotope signatures: a case study of the East European basin

FIG. 5. — δ13Cdistribution along the facies profile plotted for dominating taxa (latest Famennian-middle Tournaisian; Kamenka River section org

FIG. 3 in Trophic position of some Late Devonian-Carboniferous (Mississippian) conodonts revealed on carbon organic matter isotope signatures: a case study of the East European basin

FIG. 3. — Distribution of δ13Cvalues among conodonts having different morphological types of P1 elements. Scale bar: 0.1 mm. org

FIG. 2 in Trophic position of some Late Devonian-Carboniferous (Mississippian) conodonts revealed on carbon organic matter isotope signatures: a case study of the East European basin

FIG. 2. — Lithology, biostratigraphy, and facies distribution of the Kamenka River section (Pechora Craton). Legend: 1, limestone; 2, clayey limestone; 3, clay; 4, cherty nodules; 5, flat lamination; 6, wavy lamination.

FIG. 1 in Trophic position of some Late Devonian-Carboniferous (Mississippian) conodonts revealed on carbon organic matter isotope signatures: a case study of the East European basin

FIG. 1. — Localization of the sites under consideration: A, Generalized map of Eastern Europe; rectangles mark the localities: 1, Pechora Craton; 2, Voronezh Anteclise (Kamenka Quarry and Russkiy Brod Quarry sections); 3, Ilmen Lake region (Chudovo section, Syas River section, Ilmen Lake borehole 8, Ilmen Lake section); 4, Chimbulat Quarry. B, Map of Pechora Craton; C, Scheme of outcrops' position in the Kozhva River basin.

opencc-zeroDec 2018View details →

dryad40/100

Data from: Soil organic carbon stability in forests: distinct effects of tree species identity and traits

Rising atmospheric CO2 concentrations have increased interest in the potential for forest ecosystems and soils to act as carbon (C) sinks. While soil organic C contents often vary with tree species identity, little is known about if, and how, tree species influence the stability of C in soil. Using a 40‐year‐old common garden experiment with replicated plots of eleven temperate tree species, we investigated relationships between soil organic matter (SOM) stability in mineral soils and 17 ecological factors (including tree tissue chemistry, magnitude of organic matter inputs and their turnover, microbial community descriptors, and soil physico‐chemical properties). We measured five SOM stability indices, including heterotrophic respiration, C in aggregate‐occluded particulate organic matter (POM) and mineral‐associated SOM, and bulk SOM δ15N and ∆14C. The stability of SOM varied substantially among tree species and this variability was independent of the amount of organic C in soils. Thus, when considering forest soils as C sinks, the stability of C stocks must be considered in addition to their size. Further, our results suggest tree species regulate soil C stability via the composition of their tissues, especially roots. Stability of SOM appeared to be greater (as indicated by higher δ15N and reduced respiration) beneath species with higher concentrations of nitrogen and lower amounts of acid‐insoluble compounds in their roots, while SOM stability appeared to be lower (as indicated by higher respiration and lower proportions of C in aggregate‐occluded POM) beneath species with higher tissue calcium contents. The proportion of C in mineral‐associated SOM and bulk soil ∆14C, though, were negligibly dependent on tree species traits, likely reflecting an insensitivity of some SOM pools to decadal‐scale shifts in ecological factors. Strategies aiming to increase soil C stocks may thus focus on particulate C pools, which can more easily be manipulated and are most sensitive to climate change.

opencc-zeroOct 2015View details →

Supporting data: Reporting phenotypes in model organisms when considering body size as a potential confounder.

This directory contains the data and associated scripts used to generate the figures  in the manuscript "Reporting phenotypes in model organisms when considering body size as a potential confounder." submitted to the Journal of Biomedical Semantics

opencc-by-4.0Jul 2016View details →

Robot Self-Assembly as Adaptive Growth Process: Collective Selection of Seed Position and Self-Organizing Tree-Structures

Autonomous self-assembly allows to create structures and scaffolds on demand and automatically. The desired structure may be predetermined or alternatively it is the result of an artificial growth process that adapts to environmental features and to the intermediate structure itself. In a self-organizing and decentralized control approach the robots interact only locally and form the structure collectively. Designing a complete approach that allows the robot group to collectively decide on where to start the self-assembly, that adapts at runtime to environmental conditions, and that guarantees the structural stability is challenging and does not yet exist. We present an approach to self-assembly inspired by diffusion-limited aggregation that generates an adaptive structure reacting to environmental conditions in an artificial growth process. During a preparatory stage the robots collectively decide where to start the self-assembly also depending on environmental conditions. In the actual self-assembly stage, the robots create tree-like structures that grow towards light. We report the results of robot self-assembly experiments with 50 Kilobots. Our results demonstrate how an adaptive growth process can be implemented in robots. We explain how our approach will be extended to a 3-d growth process and how robot self-assembly as an open-ended adaptive growth process opens up a multiplicity of future opportunities.

opencc-by-4.0Mar 2017View details →

Supplementary information for "Anharmonic origin of large thermal displacements in the metal-organic framework UiO-67"

Supplementary information for DOI: 10.1021/acs.jpcc.7b04757 POSCAR-XXX: DFT optimised structures Phonons-XXX.zip: Folders containing the force constants (FORCE_SETS), the resulting phonon frequencies (mesh.yaml), phonon partial density of states (partial_dos.dat), animations of all phonon modes (anime.ascii) e.g. to be visualized in VMD and gifs of selected phonon modes. XDATCAR-XXX: MD trajectories

opencc-zeroJun 2017View details →

Actionable Information During a Disaster (Self-organize Relief Efforts via #PorteOuverte)

Abstract (our paper) Web-based social and communication technologies enable citizens to self-organize relief efforts in response to crises. This work focuses on a question fundamental to the concept of collective intelligence: how effective are such self-organized channels, ungoverned by any central authority, in conforming to their intended function? In this study we examine the hashtag #PorteOuverte ("#OpenDoor") introduced during the 2015 Paris terrorist attacks, as an "improvised logistical channel" (ILC) to help individuals to find a safe shelter near the attack sites. We analyze the dynamics and effectiveness of #PorteOuverte by comparing its proportion of relevant logistical messages -- individuals requesting or offering shelter -- to other messages such as those offering emotional consolation or commenting on the hashtag itself. Our results reveal that the vast majority of messages are not relevant, however the crowd senses and spreads relevant messages more than others. We further demonstrate that relevant messages can be automatically detected and thus algorithmic promotion may be possible. Data The #PorteOuverte hashtag ("opendoor" in English), created right after the 2015 terrorist attacks in Paris, was used by individuals to offer shelter to strangers stranded by the attacks and by individuals in need of shelter to request help and post their whereabouts. The file #PorteOuverte _tweet_ids.txt contains all the original tweet ids that used this hashtag. The first tweet was posted on Friday, 13 Nov 2015 21:34:06 GMT. Duration: 2015-11-13 to 2015-11-16 (retweets not included). Total number of tweets: 75547 Publication This data set was created for our study. If you make use of this data set, please cite: He, X., Lu, D., Margolin, D., Wang, M., Idrissi, S., Lin, Y.-R. (2017). "The Signals and Noise: Actionable Information in Improvised Social Media Channels During a Disaster," Proceedings of Web Science 2017 (WebSci 2017), 2017. doi:10.1145/3091478.3091501

opencc-by-4.0Dec 2023View details →

SleepEEGpy: a Python-based software integration package to organize preprocessing, analysis, and visualization of sleep EEG data

This dataset includes three high-density sleep EEG recordings of healthy participants, downsampled to 250 Hz and stored in FIF format: <ol> <li>Nap recording of a young adult participant</li> <li>Overnight recording of a young adult participant</li> <li>Overnight recording of an older adult participant</li> </ol> Additionally, the dataset includes three text files for each recording: <ul> <li>bad_channels.txt: Indexes of noisy channels</li> <li>annotations.txt: Onset and duration of noisy temporal intervals</li> <li>staging.txt: Sleep staging vector</li> </ul> The corresponding package can be found on <a href="https://github.com/NirLab-TAU/sleepeegpy">GitHub.</a> For citation, please use: Falach, R., G. Belonosov, J. F. Schmidig, M. Aderka, V. Zhelezniakov, R. Shani-Hershkovich, E. Bar, and Y. Nir. "SleepEEGpy: a Python-based software integration package to organize preprocessing, analysis, and visualization of sleep EEG data." Computers in Biology and Medicine 192 (2025): 110232. <a href="https://doi.org/10.1016/j.compbiomed.2025.110232" rel="nofollow">https://doi.org/10.1016/j.compbiomed.2025.110232</a>

opencc-by-4.0Apr 2024View details →

Calculated state-of-the art results for solvation and ionization energies of thousands of organic molecules relevant to battery design

This dataset presents molecular properties critical for battery electrolyte design, specifically solvation energies, ionization potentials, and electron affinities. The dataset is intended for use in machine learning model testing and algorithm validation. The properties calculated include solvation energies using the COSMO-RS method [1] and ionization potentials and electron affinities using various high-accuracy computational methods as implemented in MOLPRO [2]. Computational details can be found in Ref. [3], with scripts used to generate the data mostly uploaded to our github repository [4]. Molecular Datasets Considered: <ul> <li> QM9 Dataset: Contains small organic molecules broadly relevant for quantum chemistry [5] </li> <li> Electrolyte Genome Project (EGP): Focuses on materials relevant to electrolytes.[6] </li> <li> GDB17 and ZINC databases: Offer a broad chemical diversity with potential application in battery technologies. [7, 8] </li> </ul> <h2>Data structure</h2> How to Load the Data: All files can be loaded with <code>import json</code> <code>with open("file.json", "r") as f:</code> <code>    data_dict = json.load(f)</code> and the filestructure can be explored with <code>data_dict.keys()</code> We have also added an example script in python that shows how to extract all data from the JSON files following this link <a href="https://github.com/chemspacelab/VienUppDa/blob/main/SolQuest/BIG_MAP_DATA/load_db.py">How to extract the data</a> Note the file structure of the the AMONS JSON files is slightly different as explained below! <h3>Solvation energies</h3> The data is stored in two types of JSON archives: files for full molecules of GDB17 and ZINC and files for amons of GDB17 and ZINC. They are structured differently as amon entries are sorted by the number of heavy atoms in the amon (e.g., all amons with 3 heavy atoms are stored in <code>ni3</code>). Because of the large number of amons with 6 or 7 heavy atoms,they are further split into <code>ni6_1</code>, <code>ni6_2</code>, and so on. A sub dictionary of an amon dictionary or a full molecule dictionary contains the following keys: <code>ECFP</code> - ECFP4 representation vector <code>SMILES</code> - SMILES string <code>SYMBOLS</code> - atomic symbols <code>COORDS</code> - atomic positions in Angstrom <code>ATOMIZATION</code> - atomization energy in [kcal/mol] <code>DIPOLE</code> - dipole moment in Debye <code>ENERGY</code> - energy in Hartree <code>SOLVATION</code> - solvation energy in [kcal/mol] for different solvents at 300 K.   Files:   <code>GDB17.json.zip</code> (unpack with unzip first with unzip <code>GDB17.json.zip</code>) - subset of GDB17 random molecules <code>AMONS_ZINC.json</code> - all amons of ZINC up to 7 heavy atoms <code>EGP.json</code>  - EGP molecules <code>AMONS_GDB17.json</code> - all amons of GDB17 up to 7 heavy atoms <code>QM9IPEA_raw_molpro_output.zip</code> - compressed folder with raw Molpro input and output files <table> <tbody> <tr> <td>File Name</td> <td>Description </td> <td>Molecules</td> </tr> <tr> <td>AMONS_GDB17.json</td> <td>GDB17 amons</td> <td>37860</td> </tr> <tr> <td>AMONS_ZINC.json</td> <td>ZINC amons   </td> <td>88771</td> </tr> <tr> <td>GDB17.json</td> <td>Subset of GDB17</td> <td>309468</td> </tr> <tr> <td>EGP.json </td> <td>EGP molecules   </td> <td>18362</td> </tr> </tbody> </table> Atomic energies $E_{at}$ at BP and def2-TZVPD level in Hartree [Ha] <table> <tbody> <tr> <td>Element</td> <td>H</td> <td>C</td> <td>N</td> <td>O</td> <td>F</td> <td>Br</td> <td>Cl</td> <td>S</td> <td>P</td> </tr> <tr> <td>Eat [Ha]</td> <td>-0.5</td> <td> -37.85</td> <td> -54.60</td> <td> -75.09</td> <td>-99.77</td> <td>-2574.40</td> <td> -460.20</td> <td> -398.16</td> <td>-341.30</td> </tr> </tbody> </table>   <table> <tbody> <tr> <td>B</td> <td>Si</td> </tr> <tr> <td>  -24.65</td> <td> -289.40</td> </tr> </tbody> </table> We follow the convention of negative atomization energies for stablity compared to the isolated atoms: $E_{atomization} = E_{mol} - \sum_{i} E_{at,i}$ Free energy of solvation at 300 K in [kcal/mol]: <h3>Ionization potentials and electron affinities</h3> The upload contains two JSON files, QM9IPEA.json and QM9IPEA_atom_ens.json. QM9IPEA.json summarizes MOLPRO calculation data grouping it along the following dictionary keys:   QM9IPEA.json <code>COORDS</code> atom coordinates in Angstroms <code>SYMBOLS</code> atom element symbols <code>ENERGY</code> total energies for each charge (0, -1, 1) and method considered <code>CPU_TIME</code> CPU times (in seconds) spent at each step of each part of the calculation <code>DISK_USAGE</code> highest total disk usage in GB <code>ATOMIZATION_ENERGY</code> atomization energy at charge 0 (all methods) <code>IONIZATION_ENERGY</code> ionization energy for all methods <code>ELECTRON_AFFINITY</code> electron affinity for all methods <code>HOMO_ENERGY</code> HOMO energy from DFHF calculations <code>LUMO_ENERGY</code> LUMO energy from DFHF calculations <code>QM9_ID</code> ID of the molecule in the QM9 dataset QM9IPEA_atom_ens.json <code>SPINS</code> the spin assigned to elements during calculations of atomic energies <code>ENERGY</code> energies of atoms using different methods     All energies are given in Hartrees with NaN indicating the calculation failed to converge. Ionization potentials and electron affinities can be recovered as energy differences between neutral and charged (+1 for ionization potentials, -1 for electron affinities) species. "CPU_time" entries contain steps corresponding to individual method calculations, as well as steps corresponding to program operation: "INT" (calculating integrals over basis functions relevant for the calculation), "FILE" (dumping intermediate data to restart file), and "RESTART" (importing restart data). The latter two steps appeared since we reused relevant integrals calculated for neutral species in charged species' calculations; we also used restart functionality to use HF density matrix obtained for the neutral species as the initial density matrix guess for the SCF-HF calculation for charged species. NaN CPU time value means the step was not present or that the calculation is invalid. Note that the CPU times were measured while parallelizing on 12 cores and were not adjusted to single-core.   QM9IPEA_atom_ens.json contains atomic energies used to calculate atomization energies in QM9IPEA.json, the dictionary keys are: <code>SPINS</code> - the spin assigned to elements during calculations of atomic energies. <code>ENERGY</code> - energies of atoms using different methods.   (Note that H has only one electron and thus does not require a level of theory beyond Hartree-Fock.) NOTE: Additional calculations were performed between publication of arXiv:2308.11196 and creation of this upload. For the version of the dataset used in the manuscript, please refer to DOI:10.5281/zenodo.8252498. <h3>Acknowledgement</h3> This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 957189 (BIG-MAP) and  No. 957213 (BATTERY 2030+). O.A.v.L. has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 772834). O.A.v.L. has received support as the Ed Clark Chair of Advanced Materials and as a Canada CIFAR AI Chair. O.A.v.L. acknowledges that this research is part of the University of Toronto’s Acceleration Consortium, which receives funding from the Canada First Research Excellence Fund (CFREF). Obtaining the presented computational results has been facilitated using the queueing system implemented at <a href="https://leruli.com">https://leruli.com</a>. The project has been supported by the Swedish Research Council (Vetenskapsrådet), and the Swedish National Strategic e-Science program eSSENCE as well as by computing resources from the Swedish National Infrastructure for Computing (SNIC/NAISS).   <h3>References</h3> [1] Klamt, A.; Eckert, F. COSMO-RS: a novel and efficient method for the a priori prediction of thermophysical data of liquids. Fluid Phase Equilibria 2000, 172, 43–72 [2] Werner, H.-J.; Knowles, P. J.; Knizia, G.; Manby, F. R.; Schutz, M. Molpro: a general-purpose quantum chemistry program package. WIREs Comput. Mol. Sci. 2012, 2, 242–253 [3] arxiv link of draft [4] <a href="https://github.com/chemspacelab/ViennaUppDa">https://github.com/chemspacelab/ViennaUppDa</a> [5] Ramakrishnan, R.; Dral, P. O.; Rupp, M.; von Lilienfeld, O. A. Quantum chemistry structures and properties of 134 kilo molecules. Sci. Data 2014, 1, 140022 [6] Qu, X.; Jain, A.; Rajput, N. N.; Cheng, L.; Zhang, Y.; Ong, S. P.; Brafman, M.; Mag- inn, E.; Curtiss, L. A.; Persson, K. A. The Electrolyte Genome Project: A big data approach in battery materials discovery. Comput. Mater. Sci. 2015, 103, 56–67  [7] Ruddigkeit, L.; van Deursen, R.; Blum, L. C.; Reymond, J.-L. Enu- meration of 166 Billion Organic Small Molecules in the Chemical Universe Database GDB-17. Journal of Chemical Information and Modeling 2012, 52, 2864–2875 [8] Irwin, J. J.; Shoichet, B. K. ZINC A Free Database of Commercially Available Compounds for Virtual Screening. Journal of Chemical Information and Modeling 2005, 45, 177–182.

opencc-by-4.0Nov 2023View details →

Data and Code: Host-derived organic acids enable gut colonization of the honey bee symbiont Snodgrassella alvi

Raw data and codes underlying the CFU count, qPCR, metabolomics, and NanoSIMS data for the paper "Host-derived organic acids enable gut colonization of the honey bee symbiont Snodgrassella alvi". Data is subdivided by main figure in the paper. Additionally, raw GC-MS datafiles (.cdf) are provided in separate folders.

opencc-by-4.0Dec 1998View details →

Þekil 3. Cicadatra persicaÕda yeni ergin disside bir ovariyolun yapÝsÝ. T.F.: Terminal flament Grm.: Germanyum Fol.: Folikl Pdcl.: Pedicel in An Investigation on the Morphology of Genital Organs and Oviposition Capacit of Cicadatra persica Kirkaldy, 1909 (Cicadidae, Homoptera)

Þekil 3. Cicadatra persicaÕda yeni ergin disside bir ovariyolun yapÝsÝ. T.F.: Terminal flament Grm.: Germanyum Fol.: Folikl Pdcl.: Pedicel

opencc-by-4.0Dec 1998View details →

Þekil 2. Cicadatra persicaÕda dissi reme organÝ Ov.: Ovaryum L.Od.: Lateral oviduct Odc.: Oviduct Yd.b.: YardÝmcÝ bez Spt.: Spermatheca Vg.: Vagina in An Investigation on the Morphology of Genital Organs and Oviposition Capacit of Cicadatra persica Kirkaldy, 1909 (Cicadidae, Homoptera)

Þekil 2. Cicadatra persicaÕda dissi Ÿreme organÝ Ov.: Ovaryum L.Od.: Lateral oviduct Odc.: Oviduct Yd.b.: YardÝmcÝ bez Spt.: Spermatheca Vg.: Vagina

opencc-by-4.0Dec 1998View details →

Þekil1. Cicadatra persicaÕda erkek reme organÝ Ts.: Testis Vd.: Vas deferens Yd.b.: YardÝmcÝ bez Ejb.: Bulbus ejaculatorius Ejb: Ductus ejaculatorius in An Investigation on the Morphology of Genital Organs and Oviposition Capacit of Cicadatra persica Kirkaldy, 1909 (Cicadidae, Homoptera)

Þekil1. Cicadatra persicaÕda erkek Ÿreme organÝ Ts.: Testis Vd.: Vas deferens Yd.b.: YardÝmcÝ bez Ejb.: Bulbus ejaculatorius Ejb: Ductus ejaculatorius

opencc-by-4.0Nov 2023View details →

Non-methane volatile organic compound emissions over China estimated using TROPOMI HCHO retrievals

We used the Regional multi-Air Pollutant Assimilation System (RAPAS) with the EnKF algorithm to optimize daily NMVOC emissions in China by assimilating TROPOMI HCHO retrievals.  airqual.qc.csv includes assimilated and verified surface NO2 observations.HCHO.tar.gz includes assimilated TROPOMI HCHO retrievals.posterior_emission_27km.nc and  posterior_emission_mg_27km.nc includes inferred daily posterior anthropogenic and biogenic NMVOC emissions respectively for August 2022.

Fig.ç24.A mblyops sp. 3, male (NSMT-Cr 21369). A, anterior part of body (dorsal); B, eyeplate (right, dorsal); C, antennal scale (le, ventral); D, pair of genital organs; E, sternal process and proximal parts of genital organs; F, rst pleopod (le); G, proximal part of uropodal endopod (le, ventral). in The Genus Amblyops (Crustacea: Mysida: Mysidae: Erythropinae) from East Asia and Australia, with Descriptions of Ten New Species

Fig.ç24.A mblyops sp. 3, male (NSMT-Cr 21369). A, anterior part of body (dorsal); B, eyeplate (right, dorsal); C, antennal scale (le, ventral); D, pair of genital organs; E, sternal process and proximal parts of genital organs; F, rst pleopod (le); G, proximal part of uropodal endopod (le, ventral).

Fig.ç15.A mblyops sagamiensis sp. nov., A–E, holotype, female (NSMT-Cr 21361); F, allotype, male (NSMT-Cr 21362). A, second thoracopod (le); B, third thoracopod (le); C, distal part of third thoracopodal endopod (le); D, sixth thoracopod (le); E, eighth thoracopodal endopod with oostegite (le); F, pair of genital organs and sternal process. in The Genus Amblyops (Crustacea: Mysida: Mysidae: Erythropinae) from East Asia and Australia, with Descriptions of Ten New Species

Fig.ç15.A mblyops sagamiensis sp. nov., A–E, holotype, female (NSMT-Cr 21361); F, allotype, male (NSMT-Cr 21362). A, second thoracopod (le); B, third thoracopod (le); C, distal part of third thoracopodal endopod (le); D, sixth thoracopod (le); E, eighth thoracopodal endopod with oostegite (le); F, pair of genital organs and sternal process.

Fig.ç13.A mblyops paci cus sp. nov., holotype, male (NSMT-Cr 21355). A, rst thoracopodal endopod (le); B, second thoracopod (right); C, third thoracopod (right); D, eighth thoracopodal exopod (right); E, pair of genital organs and sternal process; F, endopod of fourth pleopod (right); G, distal part of endopod of fourth pleopod (right); H, exopod of h pleopod (right), I, uropod and telson (dorsal); J, posterior part of telson (dorsal). in The Genus Amblyops (Crustacea: Mysida: Mysidae: Erythropinae) from East Asia and Australia, with Descriptions of Ten New Species

Fig.ç13.A mblyops paci cus sp. nov., holotype, male (NSMT-Cr 21355). A, rst thoracopodal endopod (le); B, second thoracopod (right); C, third thoracopod (right); D, eighth thoracopodal exopod (right); E, pair of genital organs and sternal process; F, endopod of fourth pleopod (right); G, distal part of endopod of fourth pleopod (right); H, exopod of h pleopod (right), I, uropod and telson (dorsal); J, posterior part of telson (dorsal).

Fig.ç5.A mblyops izuensis sp. nov., holotype, male (NSMT-Cr 21348). A, eyeplate (le); B, antennular peduncle (le, dorsal); C, antenna (le, dorsal); D, antennal peduncle (le, dorsal); E, mandible and mandibular palp (le); F, maxillule (le); G, maxilla (le); H, rst thoracopod (le); I, second thoracopodal endopod (right); J, K, genital organ and sternal process. in The Genus Amblyops (Crustacea: Mysida: Mysidae: Erythropinae) from East Asia and Australia, with Descriptions of Ten New Species

Fig.ç5.A mblyops izuensis sp. nov., holotype, male (NSMT-Cr 21348). A, eyeplate (le); B, antennular peduncle (le, dorsal); C, antenna (le, dorsal); D, antennal peduncle (le, dorsal); E, mandible and mandibular palp (le); F, maxillule (le); G, maxilla (le); H, rst thoracopod (le); I, second thoracopodal endopod (right); J, K, genital organ and sternal process.