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Fleiss kappa for doc-2-doc relevance assessment
<p>Here we present a table summarizing the Fleiss’ kappa results. The Fleiss’ Kappa was calculated as a way to measure the degree of agreement between four annotators who evaluated the relevance of a set of documents (15 evaluation articles) regarding its corresponding “reference article”. The table contains 7 columns, the first one presents the topics, 8 in total. The second column shows the “reference articles”, represented by their PubMed-ID and organized by topic. The third column shows the Fleiss’ Kappa results. The fourth column shows the interpretation of the Fleiss' Kappa results being: i) “Poor” results <0.20, ii) “Fair” results within 0.21 - 0.40, and iii) “Moderate” results within 0.41 - 0.60. The fifth column shows the PubMed-IDs of evaluation articles rated by the four annotators as “Relevant” regarding its corresponding “reference article”. The sixth column shows the PubMed-IDs of evaluation articles rated by the four annotators as “Partially relevant” regarding its corresponding “reference article”. The seventh column shows the PubMed-IDs of evaluation articles rated by the four annotators as “Non-relevant” regarding its corresponding “reference article”.</p> <p> </p> <p><strong>Acknowledgements</strong> <br> This work is part of the STELLA project funded by DFG (project no. 407518790). This work was supported by the BMBF-funded de.NBI Cloud within the German Network for Bioinformatics Infrastructure (de.NBI) (031A532B, 031A533A, 031A533B, 031A534A, 031A535A, 031A537A, 031A537B, 031A537C, 031A537D, 031A538A).<br> </p>
Fig. 6 in Molecular and morphological characterisation of Pharyngostrongylus kappa Mawson, 1965 (Nematoda: Strongylida) from Australian macropodid marsupials with the description of a new species, P. patriciae n. sp.
Fig. 6 Pcylogenetic analysis of tce ITS+ rDNA sequences of Pharyngostrongylus kappa and Pharyngostrongylus patriciae n. sp. from various cost species and geograpcical locations. Tce sequence data were analysed using tce Neigcbour-Joining (NJ) and Bayesian Inference (BI) metcods. Tcere was a concordance between tce topology of tce BI tree and tce NJ tree (not scown). Nodal support is given as a posterior probability of BI/bootstrap value for NJ. Unique sequences are presented witc a GenBank accession no. followed by tce vouccer number, and cost and locality. Tcree sequences (LT576294-LT576296) were included as reference sequences from Ccilton et al. [12]. Cloacina ernabella was used as tce outgroup. Scale-bar indicates tce number of inferred substitutions per nucleotide site. Abbreviations: NSW, New Soutc Wales; NT, Nortcern Territory; QLD, Queensland; stn, station; VIC, Victoria; WA, Western Australia
Fig. 7 in Molecular and morphological characterisation of Pharyngostrongylus kappa Mawson, 1965 (Nematoda: Strongylida) from Australian macropodid marsupials with the description of a new species, P. patriciae n. sp.
Fig. 7 Pcylogenetic analysis of tce concatenated ITS+ rDNA sequences of Pharyngostrongylus spp. from various cost species and geograpcical locations. Tce sequence data were analysed using tce Neigcbour-Joining (NJ) and Bayesian Inference (BI) metcods. Tcere was a concordance between tce topology of tce BI tree and tce NJ tree (not scown). Nodal support is given as a posterior probability of BI. Cloacina ernabella was used as tce outgroup. Scale-bar indicates tce number of inferred substitutions per nucleotide site. Abbreviations: NSW, New Soutc Wales; NT, Nortcern Territory; QLD, Queensland; VIC, Victoria; WA, Western Australia
Fig. 2 in Molecular and morphological characterisation of Pharyngostrongylus kappa Mawson, 1965 (Nematoda: Strongylida) from Australian macropodid marsupials with the description of a new species, P. patriciae n. sp.
Fig. 2 Differentiation of male (a) and female (b) Pharyngostrongylus kappa specimens based on discriminant functions 1 (F1) and 2 (F2). Centroids are scown as small circles witcin eacc cost group
Fig. 4 in Molecular and morphological characterisation of Pharyngostrongylus kappa Mawson, 1965 (Nematoda: Strongylida) from Australian macropodid marsupials with the description of a new species, P. patriciae n. sp.
Fig. 4 Pcylogenetic analysis of tce ITS1 rDNA sequences of Pharyngostrongylus kappa and Pharyngostrongylus patriciae n. sp. from various cost species and geograpcical locations. Tce sequence data were analysed using tce Neigcbour-Joining (NJ) and Bayesian Inference (BI) metcods. Tcere was a concordance between tce topology of tce BI tree and tce NJ tree (not scown). Nodal support is given as a posterior probability of BI/bootstrap value for NJ. Eacc unique sequence is presented witc a GenBank accession no. followed by tce vouccer number, and its cost and locality. Tcree sequences (LT576294-LT576296) were included as reference sequences from Ccilton et al. [12]. Cloacina ernabella was used as tce outgroup. Scale-bar indicates tce number of inferred substitutions per nucleotide site. Abbreviations: NSW, New Soutc Wales; NT, Nortcern Territory; QLD, Queensland; stn, station; VIC, Victoria; WA, Western Australia
Fig. 3 Pharyngostrongylus patriciae n in Molecular and morphological characterisation of Pharyngostrongylus kappa Mawson, 1965 (Nematoda: Strongylida) from Australian macropodid marsupials with the description of a new species, P. patriciae n. sp.
Fig. 3 Pharyngostrongylus patriciae n. sp. from tce stomacc of Osphranter robustus. 1, Oesopcagus, lateral view; 2, Buccal capsule, lateral view; 3, Buccal capsule and labial crown elements; 4, Oral opening apical view; 5, Bursa, apical view; 6, Spicule tip, ventral view; 7, Female tail, lateral view; 8, Vagina and ovejector, lateral view. Scale-bars: 1, 7, 8, 100 μm; 2–4, 10 μm; 5–6, 50 μm
Fig. 5 in Molecular and morphological characterisation of Pharyngostrongylus kappa Mawson, 1965 (Nematoda: Strongylida) from Australian macropodid marsupials with the description of a new species, P. patriciae n. sp.
Fig. 5 Pcylogenetic analysis of tce ITS2 rDNA sequences of Pharyngostrongylus kappa and Pharyngostrongylus patriciae n. sp. from various cost species and geograpcical locations. Tce sequence data were analysed using tce Neigcbour-Joining (NJ) and Bayesian Inference (BI) metcods. Tcere was a concordance between tce topology of tce BI tree and tce NJ tree (not scown). Nodal support is given as a posterior probability of BI/bootstrap value for NJ. Eacc unique sequence is presented witc a GenBank accession no. followed by tce vouccer number, and its cost and locality. Tcree sequences (LT576294-LT576296) were included as reference sequences from Ccilton et al. [12]. Cloacina ernabella was used as tce outgroup. Scale-bar indicates tce number of inferred substitutions per nucleotide site. Abbreviations: NSW, New Soutc Wales; NT, Nortcern Territory; QLD, Queensland; stn, station; VIC, Victoria; WA, Western Australia
Fleiss Kappa of protocols
<p>Set of protocols fully annotated to serve as a research resource for the biomedical natural language processing community. Each full text was manually annotated by three domain expert. A total of 34 annotators participated in this studio.</p>
Ionisation of Atoms Determined by Kappa Refinement against 3D Electron Diffraction Data
<p>The following submission contains the data reduction and processing files, dynamical refinement files, refinement files for theoretical structure factors, and CIF files of five inorganic compounds: quartz, natrolite, borane, caesium lead bromide, and lutetium aluminium garnet collected by 3D electron diffraction (3D ED) for studying ionisation of atoms by kappa refinement against 3D ED data.</p> <p>The data set for quartz was collected using the precession-assisted 3D ED method and for borane, caesium lead bromide, and lutetium aluminium garnet was collected using the continuous-rotation 3D ED method. Two data sets were collected from the same crystal for natrolite using continuous-rotation and precession-assisted 3D ED method. The data reduction and processing were done using PETS2 (<em>1</em>) software and the dynamical refinements were performed using the JANA2020 (<em>2</em>) software. The refinements were performed in two primary stages: IAM refinements (without taking into consideration the effects of charge transfer between the atoms) and kappa refinements (by taking into consideration the effects of charge transfer between the atoms).</p> <p>The submission also contains JANA2020 files of refinements against theoretical structure factors obtained using periodic DFT calculations and on the structure model obtained after IAM refinements of each of the experimental data sets.</p> <p>The folders are divided according to the compounds. Each folder contains the relevant data reduction and processing files (PETS2 files), dynamical refinement files (JANA2020 files for IAM and kappa refinements), refinement files for theoretical structure factors (JANA2020 files for IAM and kappa refinements) and final CIF files (for IAM and kappa refinements).</p> <p> </p> <p>References</p> <p>1. L. Palatinus, P. Brázda, M. Jelínek, J. Hrdá, G. Steciuk, M. Klementová, Specifics of the data processing of precession electron diffraction tomography data and their implementation in the program PETS2.0. <em>Acta Cryst B</em> <strong>75</strong>, 512–522 (2019).</p> <p>2. V. Petříček, L. Palatinus, J. Plášil, M. Dušek, Jana2020 – a new version of the crystallographic computing system Jana. <em>Zeitschrift für Kristallographie - Crystalline Materials</em> <strong>238</strong>, 271–282 (2023).</p> <p> </p> <p>The following table summarises the crystallographic information and data collection parameters for the data sets.</p> <table> <tbody> <tr> <td> <p><strong>Crystal data</strong></p> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> <p>Sample</p> </td> <td> <p>Quartz</p> </td> <td> <p>Natrolite</p> </td> <td> <p>Natrolite</p> </td> <td> <p>Borane</p> </td> <td> <p>Caesium lead bromide</p> </td> <td> <p>Lutetium Aluminium Garnet</p> </td> </tr> <tr> <td> <p>Chemical formula</p> </td> <td> <p>SiO<sub>2</sub></p> </td> <td> <p>Na<sub>2</sub>Al<sub>2</sub>Si<sub>3</sub>O<sub>12</sub>H<sub>4</sub></p> </td> <td> <p>Na<sub>2</sub>Al<sub>2</sub>Si<sub>3</sub>O<sub>12</sub>H<sub>4</sub></p> </td> <td> <p>B<sub>18</sub>H<sub>22</sub></p> </td> <td> <p>CsPbBr<sub>3</sub></p> </td> <td> <p>Lu<sub>3</sub>Al<sub>5</sub>O<sub>12</sub></p> </td> </tr> <tr> <td> <p>M<sub>r</sub></p> </td> <td> <p>60.1</p> </td> <td>380.2</td> <td> <p>380.2</p> </td> <td> <p>108.4</p> </td> <td> <p>579.8</p> </td> <td> <p>851.8</p> </td> </tr> <tr> <td> <p>Crystal system, space group</p> </td> <td> <p>Trigonal, P3<sub>2</sub>21</p> </td> <td> <p>Orthorhombic, Fdd2</p> </td> <td> <p>Orthorhombic, Fdd2</p> </td> <td> <p>Orthorhombic, Pccn</p> </td> <td> <p>Orthorhombic, Pbnm</p> </td> <td> <p>Cubic, Ia3 ̅d</p> </td> </tr> <tr> <td> <p>a, b, c (Å)</p> </td> <td> <p>4.9012(24), 4.9012, 5.4068(26)</p> </td> <td> <p>18.3885(1), 18.7183(32), 6.6569(11)</p> </td> <td> <p>18.4125(9), 18.7073(7), 6.6306(2)</p> </td> <td> <p>10.7789(17), 11.9869(16), 10.7338(17)</p> </td> <td> <p>8.1189(4), 8.359(4), 11.7593(5)</p> </td> <td> <p>11.9105(4), 11.9105(4), 11.9105(4)</p> </td> </tr> <tr> <td> <p>α, β, γ (°)</p> </td> <td> <p>90, 90, 120</p> </td> <td>90, 90, 90</td> <td> <p>90, 90, 90</p> </td> <td> <p>90, 90, 90</p> </td> <td> <p>90, 90, 90</p> </td> <td> <p>90, 90, 90</p> </td> </tr> <tr> <td> <p>V (Å<sup>3</sup>)</p> </td> <td> <p>112.48(8)</p> </td> <td> <p>2291.31(54)</p> </td> <td> <p>2283.90(16)</p> </td> <td> <p>1386.87(36)</p> </td> <td> <p>798.1(1)</p> </td> <td> <p>1689.6(1)</p> </td> </tr> <tr> <td> <p>Z</p> </td> <td> <p>3</p> </td> <td> <p>8</p> </td> <td> <p>8</p> </td> <td> <p>4</p> </td> <td> <p>4</p> </td> <td> <p>8</p> </td> </tr> <tr> <td> <p>Crystal size (mm)</p> </td> <td> <p>0.0004</p> </td> <td> <p>0.0005</p> </td> <td> <p>0.0005</p> </td> <td> <p>0.0015</p> </td> <td> <p>0.0004</p> </td> <td> <p>0.0003</p> </td> </tr> <tr> <td> <p> </p> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> <p><strong>Data collection</strong></p> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> <p>Diffractometer</p> </td> <td> <p>TEM FEI Technei G2 20</p> </td> <td> <p>TEM FEI Technei G2 20</p> </td> <td> <p>TEM FEI Technei G2 20</p> </td> <td> <p>TEM FEI Technei G2 20</p> </td> <td> <p>TEM FEI Technei G2 20</p> </td> <td> <p>TEM FEI Technei G2 20</p> </td> </tr> <tr> <td> <p>3D ED method</p> </td> <td> <p>Precession</p> </td> <td> <p>Precession</p> </td> <td> <p>Continuous Rotation</p> </td> <td> <p>Continuous Rotation</p> </td> <td> <p>Continuous Rotation</p> </td> <td> <p>Continuous Rotation</p> </td> </tr> <tr> <td> <p>Detector</p> </td> <td> <p>Medipix 3 ASI Cheetah</p> </td> <td> <p>Medipix 3 ASI Cheetah</p> </td> <td> <p>Medipix 3 ASI Cheetah</p> </td> <td> <p>Medipix 3 ASI Cheetah</p> </td> <td> <p>Medipix 3 ASI Cheetah</p> </td> <td> <p>Medipix 3 ASI Cheetah</p> </td> </tr> <tr> <td> <p>Radiation source</p> </td> <td> <p>LaB<sub>6</sub></p> </td> <td> <p>LaB<sub>6</sub></p> </td> <td> <p>LaB<sub>6</sub></p> </td> <td> <p>LaB<sub>6</sub></p> </td> <td> <p>LaB<sub>6</sub></p> </td> <td> <p>LaB<sub>6</sub></p> </td> </tr> <tr> <td> <p>Radiation type</p> </td> <td> <p>Electron, λ = 0.0251 Å</p> </td> <td> <p>Electron, λ = 0.0251 Å</p> </td> <td> <p>Electron, λ = 0.0251 Å</p> </td> <td> <p>Electron, λ = 0.0251 Å</p> </td> <td> <p>Electron, λ = 0.0251 Å</p> </td> <td> <p>Electron, λ = 0.0251 Å</p> </td> </tr> <tr> <td> <p>Temperature (K)</p> </td> <td> <p>293</p> </td> <td> <p>95</p> </td> <td> <p>95</p> </td> <td> <p>100</p> </td> <td> <p>153</p> </td> <td> <p>153</p> </td> </tr> <tr> <td> <p>(sin θ/λ)<sub>max</sub> (Å<sup>−1</sup>)</p> </td> <td> <p>1.25</p> </td> <td> <p>1.1</p> </td> <td> <p>1.00</p> </td> <td> <p>0.85</p> </td> <td> <p>1.00</p> </td> <td> <p>1.4</p> </td> </tr> <tr> <td> <p>No. of measured, independent and<br>observed [I > 3σ(I)] reflections</p> </td> <td> <p>3631, 1076, 1004 </p> </td> <td> <p>15767, 6018, 4419 </p> </td> <td> <p>12368, 4546, 4422 </p> </td> <td> <p>30304, 13809, 4779</p> </td> <td> <p>16736, 422, 363</p> </td> <td> <p>23256, 1562, 1363</p> </td> </tr> <tr> <td> <p> </p> </td> <td> <p> </p> </td> <td> <p> </p> </td> <td> <p> </p> </td> <td> <p> </p> </td> <td> <p> </p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p><strong>Software used</strong></p> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> <p>Data collection</p> </td> <td> <p>RATS software</p> </td> <td> <p>RATS software</p> </td> <td> <p>RATS software</p> </td> <td> <p>RATS software</p> </td> <td> <p>RATS software</p> </td> <td> <p>RATS software</p> </td> </tr> <tr> <td> <p>Data reduction and processing</p> </td> <td> <p>PETS2</p> </td> <td> <p>PETS2</p> </td> <td> <p>PETS2</p> </td> <td> <p>PETS2</p> </td> <td> <p>PETS2</p> </td> <td> <p>PETS2</p> </td> </tr> <tr> <td> <p>Refinement</p> </td> <td> <p>JANA2020</p> </td> <td> <p>JANA2020</p> </td> <td> <p>JANA2020</p> </td> <td> <p>JANA2020</p> </td> <td> <p>JANA2020</p> </td> <td> <p>JANA2020</p> </td> </tr> <tr> <td> <p>DFT calculation</p> </td> <td> <p>WIEN2k and Crystal23</p> </td> <td> <p>WIEN2k</p> </td> <td> <p>Crystal23</p> </td> <td> <p>Crystal23</p> </td> <td> <p>WIEN2k</p> </td> <td> <p>WIEN2k</p> </td> </tr> <tr> <td> <p> </p> </td> <td> <p> </p> </td> <td> </td> <td> <p> </p> </td> <td> <p> </p> </td> <td> <p> </p> </td> <td> </td> </tr> </tbody> </table>
The kappa scans with iPhone12 Pro
The kappa is a goblin that resides in ponds and rivers. [National Museum of Japanese History](https://www.rekihaku.ac.jp/english/index.html) 117 Jonai-cho, Sakura City, Chiba Prefecture 285-8502 JAPAN  Source: Objaverse 1.0 / Sketchfab
Kappa matrices presented in "An EFT approach to baryon number violation: lower limits on the new physics scale and correlations between nucleon decay modes" arXiv:2312.13361
<p>In this archive we provide the kappa matrices introduced in Sec 2.4 of our paper <em>An EFT approach to baryon number violation: lower limits on the new physics scale and correlations between nucleon decay modes</em> <a href="https://arxiv.org/abs/2312.13361">2312.13361</a>, also <a href="https://link.springer.com/article/10.1007/JHEP07(2024)004">published in JHEP</a>. These are the numerical values that are presented as matrix plots in Appendix C. Here they are packaged into CSV files, whose first row is the row/column label.</p> <p>Please consult the README for further information on how to use these data.</p> <p><em>Version 3: Fixed error common to d=7 matrices.</em></p>
Kappa
Sculpted for https://cgboost.com/sculptjanuary2020/ see more of my work on my website and instagram: https://www.tomjohnsonart.co.uk/ https://www.instagram.com/tomjohnsonart/ Source: Objaverse 1.0 / Sketchfab
Ion and electron kappa-distribution functions along the plasma sheet - Time intervals data.
<p>Data uploaded to comply with AGU Publications Data Policy.</p> <p>Article:<br> "Ion and electron kappa-distribution functions along the plasma sheet",<br> by C.M Espinoza, M. Stepanova, P.S. Moya, E. Antonova & J.A. Valdivia.<br> Submitted to Geophysical Research Letters.</p> <p>Files:<br> Contain the start of the 12-minute intervals that were considered for the results.</p> <p>See README.TXT for more details.</p> <p> </p>
San Francisco Bay Area Kappa
<p>This dataset contains....</p>
Kappa-PET Imaging and Naltrexone in Alcohol Drinking Behaviors
ClinicalTrials.gov study NCT01625611. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Fast-Fail Trials in Mood and Anxiety Spectrum Disorders; Kappa Opioid Receptor Phase 2a
ClinicalTrials.gov study NCT02218736. IPD Sharing: Not stated. Countries: 1. Publications: 1.
FIGURES 1–8. 1, 2, 3 in Rediscovery of the social wasp Mischocyttarus (Kappa) tapuya Schulz, with description of the female, larva and nest (Vespidae, Polistinae)
FIGURES 1–8. 1, 2, 3. Dorsal, lateral and frontal-lateral views of the female of M. tapuya; 4, 5. Aspects of the integument sculpture of the male (meso and metapleuron and propodeum); 6. Ventral view of the mature larva; 7. nest (largest side = 3.2 cm); 8. Map of the Belém metropolitan area with collecting locallity (Utinga) of M. tapuya.
Evaluation data for publication 'Swelling of kappa carrageenan hydrogels in a simulated body fluid'
<p>Original excel files, python script and rheometry data for the evaluation of the publication data.</p>
FIGURES 81–96. M in Revision of the subgenus Kappa de Saussure of Mischocyttarus de Saussure (Hym.; Vespidae, Polistinae, Mischocyttarini)
FIGURES 81–96. M. bertonii: 81, mesosoma part dorsal, 86, T1; M. mysticus sp. n.: 82, mesosoma part dorsal, 83, T1; M. schunkei: 84, T1, 92, male antenna; M. injucundus: 85, mesosoma part dorsal, 87, T1; M. pertinax sp. n.: 88, T1, 89, mesosoma part dorsal; M. timbira sp. n.: 90, male antenna, 93, mesosoma part dorsal, 95, T1; M. porantin sp. n.: 91, male antenna, 94, mesosoma part dorsal, 96, T1.
FIGURES 1–7. M in Revision of the subgenus Kappa de Saussure of Mischocyttarus de Saussure (Hym.; Vespidae, Polistinae, Mischocyttarini)
FIGURES 1–7. M. immarginatus (male genitalia): 1, digitus, 2, distal aspect of paramere, 3, aedeagus dorsal; M. villarricanus: 4, mature larva; M. injucundus: 5, male mandible; M. laurae sp. n.: 6, 7, mesosoma lateral and dorsal.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.