Find research datasets worth reusing

Fig. 1 in Taxonomic status of genera of Buccininae (Neogastropoda, Buccinidae) updated based on molecular data with description of new species and corrections of nomenclature of Buccinum

Fig. 1. Part of the Bayesian phylogenetic tree of Buccinoidea Rafinesque, 1815 obtained with the cox- 1, 16S and 28S concatenated dataset representing family Buccinidae Rafinesque, 1815. The full tree is available as supplementary material (Supplementary file 1). Subfamily Siphonaliinae Finlay, 1928 is collapsed. Vertical numbered lines on the right mark the subfamilies of Buccinidae: 1 = Beringiinae Golikov & Starobogatov, 1975; 2 = Neptuneinae Stimpson, 1865; 3 = Volutopsinae Habe & Sato, 1973; 4 = Parancistrolepidinae Habe, 1972. Posterior probabilities and bootstrap values are shown for each medium supported node. Highly supported nodes are marked with black dots. The colors of the text refer to valid genus (orange = Volutharpa P. Fischer, 1856) and species referred to or morphologically attributable to formerly recognized (sub)genera of Buccininae: red = Thysanobuccinum Golikov & Gulbin in Golikov, 1980; blue = Ovulatibuccinum Golikov & Sirenko, 1988; green = Bathybuccinum Golikov & Sirenko, 1988.

Fig. 4 in Taxonomic status of genera of Buccininae (Neogastropoda, Buccinidae) updated based on molecular data with description of new species and corrections of nomenclature of Buccinum

Fig. 4. Buccinum hasegawai sp. nov. A–B. Holotype (ZIN 62775 (Buc274)), SL 18.5 mm. C. Paratype 1 (ZIN 62902 (Buc276)) from the type locality, SL 14.8 mm. D. Paratype 2 (MIMB 42300 (Buc273)), Urup I., 450–460 m, SL 14.7 mm. E. Paratype (ZIN 26228), Iturup I., 414 m, SL 16.1 mm. F. Paratype (ZIN 26228), Iturup I., 414 m, SL 16.2 mm, lateral view to show the penis. G. Buccinum bombycinum Dall, 1907 (ZIN 48100) Iturup I., 910–920 m, SL 15.3 mm. H–I. Syntype (USNM 1105311), Japan, Honshu I., Suruga Bay, 536 m, SL 23.9 mm. I = enlarged upper part of the shell to show the sculpture. Scale bars: A–H = same scale; I = 5 mm. Photos H–I: courtesy of USNM.

Fig. 2 in Taxonomic status of genera of Buccininae (Neogastropoda, Buccinidae) updated based on molecular data with description of new species and corrections of nomenclature of Buccinum

Fig. 2. Sequenced species of Buccinum Linnaeus, 1758 previously attributed to Thysanobuccinum Golikov & Gulbin in Golikov, 1980, Bathybuccinum Golikov & Sirenko, 1988 and Ovulatibuccinum Golikov & Sirenko, 1988. A–B. Buccinum tunicatum Golikov & Gulbin, 1977 (Buc265), Okhotsk Sea, off Urup I., depth 142 m, R/V Akademik Oparin, 56 cr., sta 7, SL 20.4 mm. C. Buccinum sp. 2 (Buc175), off Onagawa, Miyagi, Honshu I., Japan, depth 3302–3311 m, SL 20.3 mm. D–D'. Buccinum cf. tunicatum (Buc269), Okhotsk Sea coast of Urup I., 2 m, R/V Akademik Oparin, 56 cr., sta 26, SL 8.7 mm. D = at the same scale as others; D' = enlarged. E–E'. Buccinum bicordatum (Golikov & Sirenko, 1988) (Buc188), off Onagawa, Miyagi, Honshu I., Japan, depth 342–343 m, SL 8.4 mm. E = at the same scale as others; E' = enlarged. F. Buccinum unicordatum (Golikov & Sirenko, 1988) (Buc266), Kurile Is, Iturup I., Prostor Bay, depth 264–270 m, SL 15.9 mm. G. Buccinum chinoi nom. nov. (Buc190), off Onagawa, Miyagi, Honshu I., Japan, depth 342–343 m, SL 9.0 mm. H. Buccinum fimbriatum (Golikov & Sirenko, 1988) (Buc275), Kurile Is, Simushir I., depth 436 m, R/V Akademik Oparin, 56 cr., stn 19, SL 16.6 mm. I. Buccinum sp. 1 (Buc189), off Onagawa, Miyagi, Honshu I., Japan, depth 342–343 m, SL 22.4 mm. All shells (except D', E') at the same scale.

Fig. 3 in Taxonomic status of genera of Buccininae (Neogastropoda, Buccinidae) updated based on molecular data with description of new species and corrections of nomenclature of Buccinum

Fig. 3. Sequenced species of Buccinum Linnaeus, 1758, Volutharpa P. Fischer, 1856, and Plicibuccinum Golikov & Gulbin, 1977. A. Buccinum tenuisulcatum Golikov & Gulbin, 1977 (Buc264), Okhotsk Sea, Kurile Is, Onekotan I., depth 571–580 m, R/V Akademik Oparin, 56 cr., stn 68, SL 29.4 mm. B. Buccinum cyaneum Bruguière, 1789 (Buc281), Barents Sea, Teriberka Inlet, depth 10–17 m, SL 18.1 mm. C–D. Volutharpa ampullacea (Middendorff, 1848) (Buc277), Kurile Is, off Chirpoi I., depth 148–147 m, SL 14.1 mm. E. Buccinum nipponense Dall, 1907 (Buc187), off Otsuchi, Iwate, Honshu I., Japan, depth 479–484 m, SL 40.8 mm. F. Buccinum percrassum Dall, 1883 (Buc283), Kurile Is, Simushir I., 1–6 m, SL 33.5 mm. G–H. Buccinum cf. kobjakovae Golikov & Gulbin, 1977 (Buc278), Kurile Is, Simushir I., R/V Akademik Oparin, 56 cr., stn 19, 46°40.6′ N, 151°58.4′ E, depth 436 m, SL 12.1 mm. I. Plicibuccinum declivis (Habe & Ito, 1976) (Buc289), Japan Sea, Primorje, R/V Akademik Oparin, 64 cr., stn 73, 43°43.5′ N, 135°22.9′ E, depth 45–49 m, SL 36.2 mm. Shells not to scale.

opencc-by-4.0Jun 2022View details →

A dataset of anonymised hospitalised COVID-19 patient data: outcomes, demographics and biomarker measurements for two New York hospitals

These datasets are for a cohort of n=1540 anonymised hospitalised COVID-19 patients, and the data provide information on outcomes (i.e. patient death or discharge), demographics and biomarker measurements for two New York hospitals: State University of New York (SUNY) Downstate Health Sciences University and Maimonides Medical Center. The file "demographics_both_hospitals.csv" contains the ultimate outcomes of hospitalisation (whether a patient was discharged or died), demographic information and known comorbidities for each of the patients. The file "dynamics_clean_both_hospitals.csv" contains cleaned dynamic biomarker measurements for the n=1233 patients where this information was available and the data passed our various checks (see https://doi.org/10.1101/2021.11.12.21266248 for information of these checks and the cleaning process). Patients can be matched to demographic data via the "id" column. Study approval and data collection Study approval was obtained from the State University of New York (SUNY) Downstate Health Sciences University Institutional Review Board (IRB\#1595271-1) and Maimonides Medical Center Institutional Review Board/Research Committee (IRB\#2020-05-07). A retrospective query was performed among the patients who were admitted to SUNY Downstate Medical Center and Maimonides Medical Center with COVID-19-related symptoms, which was subsequently confirmed by RT PCR, from the beginning of February 2020 until the end of May 2020. Stratified randomization was used to select at least 500 patients who were discharged and 500 patients who died due to the complications of COVID-19. Patient outcome was recorded as a binary choice of “discharged” versus “COVID-19 related mortality”. Patients whose outcome was unknown were excluded. Demographic, clinical history and laboratory data was extracted from the hospital’s electronic health records.

opencc-by-4.0Jan 2022View details →

Data from: A new population record of Critically Endangered Dipterocarpus bourdillonii Brandis from the Anamalai Tiger Reserve, Tamil Nadu

This dataset is based on the following manuscript/publication: Page, N., S. Kasinathan, K. Bhat, G. Moorthi, T. Sundarraj, Divya Mudappa, and T. R. S. Raman (2022). A new population record of Critically Endangered Dipterocarpus bourdillonii Brandis from the Anamalai Tiger Reserve, Tamil Nadu. Journal of Threatened Taxa 14(8): 21651–21659. https://doi.org/10.11609/jott.7860.14.8.21651-21659 Please refer to the README.txt file included with the dataset for complete details and usage notes. Geographic Coverage: Location/Study Area: Valparai Plateau, Tamil Nadu, India; Anamalai Tiger Reserve, Tamil Nadu, India GPS coordinates: Valparai Plateau (0°15'- 10°22'N, 76°52'-76°59'E); Anamalai Tiger Reserve (10°12'-10°35'N, 76°49'-77°24'E) Temporal Coverage: Begins: 2020-10-01 (Year, Month, Day) Ends: 2022-05-31 (Year, Month, Day) Funding: Fondation Franklinia AMM Murugappa Chettiar Research Centre Rohini Nilekani Philanthropies Dataset: The dataset includes 7 files: 1 text file (README.txt), 5 data files in comma-delimited format (CSV), and 1 KML file of seven survey routes. Details of content of each CSV data file are provided below. The following files are included: README.txt: Usage notes and metadata related to the dataset 1_Surveys_ver2.csv: Details of trails covered where Dipterocarpus bourdillonii was recorded during the survey 2_Focal_tree_data_ver2.csv: Details of focal trees of Dipterocarpus bourdillonii 3_Tree_centred_PCQ_ver2.csv: Data from point-centred quarter (PCQ) plots sampled with focal trees at the centre 4_Plant_checklist_ver2.csv: Checklist of plants (mainly trees) recorded on survey trails 5_Seed_fruit_ver2.csv: Measurements of fruits and seeds of Dipterocarpus bourdillonii 06_Dipterocarpus_bourdillonii_survey_trails.kml: This file includes the GPS tracks of the seven survey trails in KML format. Details and data available in the columns in each of the above CSV files and the KML file are explained below. 1_Surveys_ver2.csv Column: Description Date: Date on which the survey was done Place: Name of the place where the focal tree is located. e.g., Candura, Manamboli, Iyerpadi etc Route_description:Description of place or route covered Trail: Name of the tree survey trail Trail_distance: Distance covered on the trail in kilometres (km) Track_filename_kml: Name of the file with GPS track of survey trail/route, where available, in KML format Observers: Names of observers who took measurements and filled datasheet during survey Remarks: Notes and additional information 2_Focal_tree_data_ver2.csv Column: Description FT_ID: Unique numeric linking ID of each focal tree (NA for 3 individuals found in plots around other focal trees) Species: Focal tree species Date: Date on which the survey was done Place: Name of forest range (Manamboli) Waypoint: Unique location waypoint number for the focal tree and GPS instrument used Time: Time when the focal tree's data was collected Location: Landmark where the focal tree is located (NA, if not available) Latitude: Latitude of the focal tree (decimal degrees N) Longitude: Longitude of the focal tree (decimal degrees E) Elevation: Elevation of the focal tree from sea-level in metres Slope: Slope at focal tree location assessed with Clinometer, categorised as Flat, Gentle, Moderate, or Steep (NA, if not available) ID_Notes: Any obvious signs with which to identify focal tree (NA, if not available) Phenophase: Phenophase of the focal tree viz. leaf flush, buds/flowers, fruits (NA, if not available) GBH: Girth of the focal tree in cm, at 1.3m from ground; measured from the higher side if tree is on slope Tree_ht: Focal tree's height in m (NA, if not available) Canopy_ht: Height of canopy in m where the focal tree is located (NA, if not available) Substrate: Substrate where focal tree is standing viz. Earth, Rock, Streamside, Other (NA, if not available) Invasives: List of invasive plant species present within 5 m radius around the focal tree (NA, if not available) Stature: Stature of the focal tree relative to its surroundings (NOT of the species in general) categorised as Understorey, Mid, Canopy, Emergent (NA, if not available) Relatively: Relative height of focal tree in relation to other trees within 10 m radius categorised as Shorter than most, Taller than most, Same height as most (NA, if not available) Deadwood: Estimated percentage of deadwood present on the tree in 4 classes of <25%, 26-50%, 51-75%, 76-100% (NA, if not available) Damage: Observed damages such as Main trunk broken, Branches broken, Hollow at base, Gaping cavity, Infected, Dried leaves (as on a dead branch) (NA, if not available) Shape: Canopy shape of the focal tree (not species in general) categorised as Spreading, Oval, Fan, Column, Cone (NA, if not available) Closure: Canopy closure due to foliage visually estimated standing next to trunk of focal tree and looking up, categorised as 0% (only sky and leafless branches visible), 1-25%, 26-50%, 51-75%, 76-100% (NA, if not available) Seedlings: Count of conspecific seedlings (stems of girth at breast height <10 cm) around the focal tree in a 5 m radius (NA, if not available) Saplings: Count of conspecific saplings (stems of girth at breast height 10-30 cm) around the focal tree in a 5 m radius (NA, if not available) Trees: Count of conspecific trees (stems of girth at breast height >30 cm) around the focal tree in a 5 m radius (NA, if not available) Remarks: Notes and additional information (NA, if not available) 3_Tree_centred_PCQ_ver2.csv Column: Description FT_ID: Unique numeric linking ID of each focal tree in point-centred quarter (PCQ) plot Focal_tree: Scientific name of focal tree species at the centre of the PCQ plot Species: Scientific name of tree species recorded in PCQ plot around focal tree GBH (cm): Girth of PCQ tree in cm, at 1.3 m from ground; measured from the higher side if tree is on a slope. Main stem only. Distance: Distance from focal tree, in m; measured from the approximate centre of bole to centre of bole and not bark to bark Multistem: NA if single-stemmed; if multi-stemmed, then GBH of additional stems given as notes. 4_Plant_checklist_ver2.csv Column: Description Date: Date on which the survey was done Place: Name of the place where the focal tree is located. e.g., Candura, Manamboli, Iyerpadi etc Route: Route of the tree survey trail Checklist_species: Scientific name of tree species observed as present along trail and within 10 m on either side Remarks: Notes and additional information 5_Seed_Fruit_ver2.csv Column: Description Sample: Serial number of sample of single winged fruit measured Species: Scientific name of tree species No_Seeds: Unit number of seed measured Fresh_fruit_weight_g: Weight of each fruit measured on an Ohaus scale in grams Nut_length_cm: Length of nut along the longitudinal axis in cm Nut_width_1_cm: Width of nut in cm measured along axis perpendicular to nut length Nut_width_2_cm: Width of nut in cm measured along axis perpendicular to nut length and nut width 1 Wing1_length_cm: Length of longer wing (sepal) in cm Wing1_width_cm: Width of longer wing (sepal) in cm Wing2_length_cm: Length of shorter wing (sepal) in cm Wing2_width_cm: Width of shorter wing (sepal) in cm 06_Dipterocarpus_bourdillonii_survey_trails.kml This file includes the GPS tracks of the following seven trails in KML format:    2021-01-30_Anali-Ayyankulam-Manamboli (Trail-2)    2021-03-26_Ayyankulam (Trail-4)    2021-04-10_Ayyankulam Parai (Trail-5)    2022-03-07_Ayyankulam Parai to Ayyankulam_leftbank (Trail-8)    2022-03-07_Ayyankulam Parai to Ayyankulam_rightbank (Trail-9)    2022-03-09_Manamboli PH_leftbank (Trail-10)    2022-03-09_Manamboli PH_rightbank (Trail-11)

opencc-by-4.0Dec 2017View details →

Figs 16-18 in New data on the Oriental Xantholinini. 43. New species and new records from Thailand in the Naturhistorisches Museum of Basel (Coleoptera Staphylinidae) 281° contribution to the knowledge of the Staphylinidae

Figs 16-18: Tergite and sternite of the male genital segment and aedeagus of Erymus filiformis nov.sp. (scale bar: 0.1 mm).

opencc-by-4.0Dec 2017View details →

Figs 1-9 in New data on the Oriental Xantholinini. 43. New species and new records from Thailand in the Naturhistorisches Museum of Basel (Coleoptera Staphylinidae) 281° contribution to the knowledge of the Staphylinidae

Figs 1-9: Male genital segment, sternite of the same and aedeadus (1-3) of Neoxantholinus thailandicus nov.sp. Tergite and sternite of the male genital segment and aedeagus (4-6) of Metolinus squamifer nov.sp. Tergite and sternite of the male genital segment and aedeagus (7-9) of Mahavana eximia nov.sp. (m= membranous part) (scale bar: 0.1 mm).

opencc-by-4.0Dec 2017View details →

Photo 1-2 in New data on the Oriental Xantholinini. 43. New species and new records from Thailand in the Naturhistorisches Museum of Basel (Coleoptera Staphylinidae) 281° contribution to the knowledge of the Staphylinidae

Photo 1-2: (1) Habitus of Mahavana eximia nov.sp. (total lenght: 4.3 mm) and (2) Denon silvestris nov.sp. (total lenght: 4.2 mm) (photo S. Cuoco).

opencc-by-4.0Jul 2022View details →

Data accompanying "A new brittle rheology and numerical framework for large-scale sea-ice models"

Data accompanying "A new brittle rheology and numerical framework for large-scale sea-ice models" by E. Olason et al, accepted for publication in Journal of Advances in Modelling Earth Systems (2022). Files: * CS2SMOS.tar.bz2: Contains Cryosat2/SMOS data, post-precessed and used to   produce figures comparing modelled thickness to observations. * deformation_maps_demo.ipynb: An example jupyter notebook to read pairs.npz * OlasonEtAl_BBM.tar.bz2: Thickness fields from the MEB run used to produce   figure 1 (netCDF). * OlasonEtAl_MEB.tar.bz2: Thickness fields from the BBM run used to produce   figure 8 (netCDF). * OlasonEtAl_mEVP.tar.bz2: Thickness fields from the mEVP run used to produce   figure 8 (netCDF). * pairs.npz: Displacement pairs derived from the model's Lagrangian mesh used   to produce figures 3, 4, and 5 (numpy data file). * Winter2006_7_BBM.nc.bz2: Thickness, concentration, and velocity fields from   the BBM run for the winter 2006-7 widely used in the paper (netCDF). * Winter2006_7_mEVP.nc.bz2: Thickness, concentration, and velocity fields from   the mEVP run for the winter 2006-7 used for comparison in the paper   (netCDF).

opencc-by-4.0Jul 2022View details →

RobotReviewer evaluation data (new test set)

Includes 3,324 openly available PDFs (rct_pdfs.zip) with risk-of-bias annotations (robotreviewer_eval_data.json) from Cochrane systematic reviews. This data has not been used in the development of RobotReviewer and in this way represents a new, unseen test set. For each PDF/pubmed ID, Cochrane topics are also provided (robotreviewer_topics.json).

Data from: Unravelling cucumber resistance to several viruses via genome-wide association studies highlighted resistance hotspots and new QTLs

The mapping and introduction of sustainable resistance to viruses in crops is a major challenge in modern breeding, especially regarding vegetables. We hence assembled a panel of cucumber elite lines and landraces from different horticultural groups for testing with six virus species. We mapped 18 quantitative trait loci (QTL) with a multiloci genome wide association studies (GWAS), some of which have already been described in the literature. We detected two resistance hotspots, one on chromosome 5 for resistance to the cucumber mosaic virus (CMV), cucumber vein yellowing virus (CVYV), cucumber green mottle mosaic virus (CGMMV) and watermelon mosaic virus (WMV), colocalizing with the RDR1 gene, and another on chromosome 6 for resistance to the zucchini yellowing mosaic virus (ZYMV) and papaya ringspot virus (PRSV) close to the putative VPS4 gene location. We observed clear structuring of resistance among horticultural groups due to plant virus coevolution and modern breeding which have impacted linkage disequilibrium (LD) in resistance QTLs. The inclusion of genetic structure in GWAS models enhanced the GWAS accuracy in this study. The dissection of resistance hotspots by local LD and haplotype construction helped gain insight into the panel’s resistance introduction history. ZYMV and CMV resistance were both introduced from different donors in the panel, resulting in multiple resistant haplotypes at same locus for ZYMV, and in multiple resistant QTLs for CMV.

opencc-by-4.0Jun 2022View details →

Data for "Measurement Report: A Multi-Year Study on the Impacts of Chinese New Year Celebrations on Air 1 Quality in Beijing, China."

These are the datasets that have been used for the article "Measurement Report: A Multi-Year Study on the Impacts of Chinese New Year Celebrations on Air 1 Quality in Beijing, China," which is published in the journal Atmospheric Chemistry and Physics, by Foreback et al. (2022).

Data from: The Subantarctic Rayadito (Aphrastura subantarctica), a new bird species on the southernmost islands of the Americas. Scientific Reports

Description of the dataset This dataset contains morphological and genetic information of Aphrastura populations in different sample sites in Chile and Argentina. This dataset was analysed in: Rozzi R, Quilodrán CS, Botero-Delgadillo E, Napolitano C, Torres-Mura JC, Barroso O, Crego RD, Bravo C, Ippi S, Quirici V, Mackenzie R, Suazo CG, Rivero-de-Aguilar J, Goffinet B, Kempenaers B, Poulin E and RA Vásquez. 2022. The Subantarctic Rayadito (Aphrastura subantarctica), a new bird species on the southernmost islands of the Americas. Scientific Reports. There are three files:  <ul> <li>Subantarctic_Rayadito_Morphology.txt: morphological information used for differentiating Aphrastura subantarctica from Aphrastura spinicauda. The former was sampled in the Diego Ramirez archipelago. The date of sampling is included in the last column. </li> <li>Subantarctic_Rayadito_Microsatellite.txt: all captured and genotyped adults from five populations. The band (ring) number is used as an ID for each individual bird. The matrix includes information regarding the locality of origin (MA: Manquehue; BA: Bariloche; TF: Tierra del Fuego; NI: Navarino Island; DR: Diego Ramírez Archipelago), and allele size (number of repeats) at 12 polymorphic microsatellite loci.</li> <li>Subantarctic_Rayadito_mtDNA.nex: mtDNA information for all Aphrastura individuals sequenced and used in our analysis. The labels denote the code number and location for each individual (DR: Diego Ramirez Archipelago; CH: Cape Horn Island ; Navarino : Navarino Island; TdelFuego : Tierra del Fuego; PtoNatales : Puerto Natales ; ElChalten : El Chalten;  CalTortel : Caleta Tortel ; Coihayque : Coihayque ; Chaiten : Chaiten ; LosAlerces : Los Alerces ; Chiloe : Chiloé Island ; IslaMocha : Mocha Island ; Curacautin : Curacautin ; Rinihue : Rinihue ; Epulauquen : Epu Lauquen ; Constitucion : Constitución ; Manquehue : Manquehue ; FrayJorge : Fray Jorge National Park).  </li> </ul> Acknowledgments  This study was funded with Grants from the Sub-Antarctic Biocultural Conservation Program of the University of North Texas, University of Magallanes, the Cape Horn International Center (ANID CHIC-FB210018), the Institute of Ecology and Biodiversity of Chile (CONICYT PFB-23), and the Patagonia Mar y Tierra Working Group (The Pew Charitable Trust - Chile). We thank the support of the Omora Foundation, and FONDECYT 1140548 to RAV. C.N. thank support from ANID PAI 77190064, and ANID/BASAL FB210006. CSQ acknowledges support from the Swiss National Science Foundation (N° P400PB_183930 and P5R5PB_203169). We are grateful to Sylvia Kuhn and Alexander Girg from the Max Planck Institute for Ornithology for help in the laboratory, and to Jaime A. Cursach and Maximiliano Daigre during fieldwork and ornithological records in Gonzalo Island. Fieldwork in protected areas was possible thanks to people from Parque Nacional Bosque Fray Jorge, Minera Los Pelambres, Estación Biológica Senda Darwin, Parque Nacional Nahuel Huapi, and Parque Natural Karukinka. We also express our gratitude for logistical and personnel support from the 3rd Naval Zone of the Chilean Navy.

opencc-by-4.0May 2022View details →

Data to accompany the publication "Combined biophysical and genetic modelling approaches reveal complementary information about population connectivity of New Zealand green-lipped mussels"

Data to accompany the publication "Combined biophysical and genetic modelling approaches reveal complementary information about population connectivity of New Zealand green-lipped mussels".  migrationmatrix14.txt contains the particle tracking matrix, with the total number of particles that migrated from row i to column j (out of a total of 2217864 particles released per population). mussel_microsat_Genepop.txt contains the microsatellite data for each population in Genepop format.

opencc-by-4.0Nov 2021View details →

Network Theme: Can blood sampling become a new data source in the role of self-monitoring and self-management of health? - Dr Mark Elliott (University of Warwick)

This video is the fourth talk from our Future Blood Testing Network Plus Launch that took place on the 23/11/2021. Network Theme: Can blood sampling become a new data source in the role of self-monitoring and self-management of health? - Dr Mark Elliott (University of Warwick) Bio: <a href="https://warwick.ac.uk/fac/sci/wmg/people/profile/?wmgid=1147">Dr Mark Elliott</a> Mark is an Associate Professor at the Institute of Digital Healthcare, WMG, University of Warwick (UoW). Mark’s core research focuses on human movement and physiology analytics. His research uses signal processing and data science approaches to monitor, measure and model human movement and physiology to infer health status. He is the PI of the WMG Motion Capture Laboratory. His work further extends into the broader area of using wearable and on-the- body sensing devices to make objective measures of human behaviour and behaviour change. Much of Dr Elliott’s research is highly applied and involves collaborating with commercial and NHS partners. He has received funding from EPSRC, Innovate UK and SBRI Healthcare, as well as direct industrial funding. He is currently Data Analytics Theme Lead for the EPSRC funded OATech+ Network and on the steering committee for the EPSRC funded VSimulators facilities at Bath and Exeter. Further details on this event can be found at: https://futurebloodtesting.org/event/23-11-21-future-blood-testing-network-launch/ This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1 YouTube Link: https://youtu.be/ChdbggScUgo

opencc-by-4.0Sep 2022View details →

New Zealand OISST data from 14 coastal locations

The following MATLAB .mat file ( sponge_data_oisst_v2.mat) contains daily records of sea surface temperature spanning 01 Jan 1992 to 31 May 2022 from 14 locations around the New Zealand coastline, extracted from the OISST data set (https://doi.org/10.25921/RE9P-PT57), as analysed in Bell et al. (2022). Also included are MATLAB .m files to (1) extract daily time series of SST from a local copy of the global OISST netcdf files (bell_etal_extract_OISST.m) and (2) undertake the analysis of marine heatwaves in the sponge_data_oisst_v2.mat subset of these data (bell_etal_analyze_OISST.m), as performed in Bell et al. (2022). We acknowledge the NOAA OI SST V2 High Resolution Dataset provided by the NOAA PSL, Boulder, Colorado, USA, from their website at <a href="https://psl.noaa.gov">https://psl.noaa.gov</a>

opencc-by-4.0May 2022View details →

Data repository for "3D coseismic surface displacements from historical aerial photographs of the 1987 Edgecumbe earthquake, New Zealand"

This data repository includes supplementary files used in the accompanying manuscript:  Delano, J. E, Howell, A., Stahl, T. A., Clark, K. (submitted 2022). 3D coseismic surface displacements from historical aerial photographs of the 1987 Edgecumbe earthquake, New Zealand. Journal of Geophysical Research: Solid Earth. Contents: <ol> <li>Supplementary Text S1, containing additional methods and discussion</li> <li>Supplementary Figures S1-S9</li> <li>Supplementary Tables S1-S6 </li> <li>Raster files (TIFF) of SfM results and differenced DSM</li> <li>Raster files of orthophoto mosaics (pre- and post-earthquake)</li> <li>Shapefiles containing fault trace mapping and displacement locations</li> </ol> See README for individual file descriptions.

Fig. 1 in New Faunistical Data On Oribatid Mites From The Philippines, With A Description Of A New Species Of The Genus Trachyoribates (Acari, Oribatida, Haplozetidae)

Fig. 1. Trachyoribates insularis sp. n., adult: A = dorsal view (legs not shown); B = ventral view (gnathosoma and legs not shown); C = right lateral view (legs not shown); D = poste-

Fig. 2 in New Faunistical Data On Oribatid Mites From The Philippines, With A Description Of A New Species Of The Genus Trachyoribates (Acari, Oribatida, Haplozetidae)

Fig. 2. Trachyoribates insularis sp. n., adult: A = subcapitulum, ventral view; B = palp, left, paraxial view; C = chelicera, left, paraxial view; D = leg I, right, antiaxial view; E = leg II, without tarsus, right, antiaxial view; F = leg III, without tarsus, left, antiaxial view; G = leg IV, left, antiaxial view. Scale bars 20 μm (A, C–G), 10 μm (B)