Find research datasets worth reusing

opencc-by-nc-nd-4.0May 2022View details →

CLDF dataset derived from Luangthongkum's "Proto-Karen Phonology and Lexicon" from 2019

Cite the source of the dataset as: <blockquote> Luangthongkum, Theraphan (2019). A View on Proto-Karen Phonology and Lexicon, Journal of Southest Asian Linguistics Society, 12.1, i-lii. doi: http://hdl.handle.net/10524/52441 </blockquote>

opencc-by-4.0Oct 2022View details →

Fig. 4. Monthly Pseudophilothrips ichini released from May 2019 in Release and persistence of the Brazilian peppertree biological control agent Pseudophilothrips ichini (Thysanoptera: Phlaeothripidae) in Florida

Fig. 4. Monthly Pseudophilothrips ichini released from May 2019 to Dec 2021. The number of thrips released increased significantly during this period (Y = −16073.4 + 4846.3 * X, where X = numeric mo in sequence afer initial release and Y = predicted number of thrips released. r2 = 0.64; P <0.0001).

Video: Creating LOD for Dutch public libraries - WikidataCon, Berlin, 25-26 October 2019

English: Directly inspired by a <a href="https://meta.wikimedia.org/w/index.php?title=GLAMTLV2018/Submissions/Don%27t_forget_the_libraries_-_increasing_the_coverage_in_Wikidata&oldid=18551326">lightning talk from GLAM-Wiki 2018</a> I started a project to improve the coverage and visibility of public libraries in the Netherlands on Wikidata. Although there are a number of websites listing all these plusminus 1300 library branches, I was quite surprised to find that none of them provide both structured and openly licensed, let alone linked data, while openness should be at the the core of every library's mission. I decided to solve this problem by adding address and geo data of every public library to Wikidata, hence for the very first time creating a (5-star) linked open data set for this type of library. See <a href="https://www.wikidata.org/wiki/Wikidata:WikiProject_Netherlands_Public_Libraries">https://www.wikidata.org/wiki/Wikidata:WikiProject_Netherlands_Public_Libraries</a> This enables innovative uses, such as overviews and visualisations of the Dutch public library landscape on organisational, municipal, regional, provincial and national levels. This is of interest not only to Wikipedia and LOD enthousiasts, but also to e.g. policy makers, municipalities, scientists and journalists. In addition, to enable SPARQL generated library image galleries, I have started '1Lib1Photo' (inspired by 1Lib1Ref), an initiatieve to add an openly licensed image of every Dutch public library to Wikimedia Commons. Takeaways As a beginning Wikidatian myself, I hope to show that this type of project is suitable for beginners; adding address and geo infomation to Wikidata is a simple task that any one can do and a great way to learn SPARQL. Despite the simple nature of the inputs, the outputs (maps, image galleries, tables) are very relevant, not only for adding overviews of libraries to Wikipedia, but also for parties outside the Wiki sphere. As this project was directly inspired by work done in Wales by Simon Cobb (<a title="User:Sic19" href="https://commons.wikimedia.org/wiki/User:Sic19">User:Sic19</a>), I in my turn hope to inspire others to start similar projects in other countries. <div> <h2>Context & presentation</h2> </div> <a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikidataCon_2019/Program/Sessions/Libraries_panel&oldid=1039089450">https://www.wikidata.org/w/index.php?title=Wikidata:WikidataCon_2019/Program/Sessions/Libraries_panel&oldid=1039089450</a> The recorded presentation was part of a <a title="d:Wikidata:WikidataCon 2019/Program/Sessions/Libraries panel" href="https://www.wikidata.org/wiki/Wikidata:WikidataCon_2019/Program/Sessions/Libraries_panel">panel about Wikidata in libraries</a> This presentation (PDF) is also available on <a title="File:Creating LOD for Dutch public libraries - WikidataCon Berlin 25-26 October 2019 Olaf Janssen.pdf" href="https://commons.wikimedia.org/wiki/File:Creating_LOD_for_Dutch_public_libraries_-_WikidataCon_Berlin_25-26_October_2019_Olaf_Janssen.pdf">Wikimedia Commons</a> and on <a href="../records/12568513" rel="nofollow">Zenodo</a>.

opencc-by-4.0Sep 2021View details →

Fig. 2. The 2019 in Wild bee pollinators foraging in peanut and cotton adjacent to native wildflower strips

Fig. 2. The 2019 mean (± SE) of bees per bee bowl captured in cotton and those with cotton pollen and unidentified pollen (= other) (a), and the mean (± SE) of bees per bee bowl captured in cotton with G. pulchella (IB), Monarda citriodora (mint), and Rudbeckia hirta (susan) (b).

opencc-by-4.0Dec 2021View details →

Fig. 3. Rainfall and temperature data throughout 2019–2020 in Prevalence and gross pathology of liver fluke in macropods cohabiting livestock farms in north eastern NSW, Australia, and diagnosis using cELISA

Fig. 3. Rainfall and temperature data throughout 2019–2020 recorded at the Armidale airport NSW, Australia (Australian Government of Bureau of Meteorology, 2019, 2020).

Video Documentation for the Giant Human Sorting Network event in Vienna, Austria, September 19, 2019

This video is a supplementary material for the article "Large and Parallel Human Sorting Networks" by Stefan Szeider, to appear in the proceeedings of CMSC 2024, the 7th Conference on Creative Mathematical Sciences Communication, Springer Verlag, 2024.

FIGURE 4 in Organization of the cephalic lateral-line canals in Electrophorus varii de Santana, Wosiacki, Crampton, Sabaj, Dillman, Mendes-Júnior & Castro e Castro, 2019 (Gymnotiformes: Gymnotidae)

FIGURE 4 | Images of CT scan of the head of Electrophorus varii. A. dorsal and B. left lateral views of the cranium show the ossification of the lateral-line canals. The ossified segments of canals are marked by colors. Yellow: infraorbital canal; navy blue: mandibular canal; green: otic canal; purple: pre-opercular canal; pink: supraorbital canal; light blue: supratemporal canal; red: otic pit ossicles. ANG-AR: Angulo-articular; CLT: cleithrum; DT: dentary; ENT: entopterygoid; FR: frontal bone; HYO: Hyomandibular; IOP: interopercle; MET: mesethmoid; MTP: metapterygoid; OP: opercle; PAR: parietal; PMX: premaxila; POP: preopercle; PTO: pterotic; QU: quadrate; SP: sphenotic; SYM: sympletic. Specimen size = 82 cm TL.

FIGURE 1 in Organization of the cephalic lateral-line canals in Electrophorus varii de Santana, Wosiacki, Crampton, Sabaj, Dillman, Mendes-Júnior & Castro e Castro, 2019 (Gymnotiformes: Gymnotidae)

FIGURE 1 | Sampling areas (Adolpho Ducke Reserve and Purupuru Lake, Amazonas, Brazil) where individuals of Electrophorus varii were captured. The white stars represent the exact sampling spots.

FIGURE 3 in Organization of the cephalic lateral-line canals in Electrophorus varii de Santana, Wosiacki, Crampton, Sabaj, Dillman, Mendes-Júnior & Castro e Castro, 2019 (Gymnotiformes: Gymnotidae)

FIGURE 3 | Organization of the cephalic lateral-line canals in adult Electrophorus varii. Arrangement of all canals in A. dorsal, B. lateral and C. ventral views. Yellow: infraorbital canal; navy blue: mandibular canal; green: otic canal; purple: pre-opercular canal; pink: supraorbital canal; light blue: supratemporal canal; grey: posterior lateral-line canal of the trunk; red: otic pit (OP) between cephalic and trunk canals. The photographs are from a juvenile that completed the development and is morphologically similar to an adult. The drawings are from an individual of 148 cm TL.

FIGURE 2 in Organization of the cephalic lateral-line canals in Electrophorus varii de Santana, Wosiacki, Crampton, Sabaj, Dillman, Mendes-Júnior & Castro e Castro, 2019 (Gymnotiformes: Gymnotidae)

FIGURE 2 | Ontogenetic development of the lateral-line canals in larvae and juveniles of Electrophorus varii, in lateral and dorsal views. A. 1.9 cm TL; B. 2.5 cm TL; C. 3.0 cm TL; D. 5.0 cm TL; E. 9.0 cm TL; F. 38 cm TL. Types of dashes indicate the (1) shallow and short grooves on the skin; (2) deep grooves; (3) segments of grooves start enclosure; (4) pores of canals on the skin. Yellow: infraorbital canal; navy blue: mandibular canal; green: otic canal; purple: pre-opercular canal; pink: supraorbital canal; light blue: supratemporal canal; grey: posterior lateral-line canal of the trunk and; red: otic pit between cephalic and trunk canals. Arrows indicate short grooves of the presumptive infraorbital and mandibular canals.

Demographic data of US Counties Estimation 2019

US  government demographic data for all US counties estimated in 2019 including state, county, region, area land, area water, coordinates, birth rate, death rate, immigrants,

Covid-19 strains from December 2019 to September 2023

This data is intended to be used by the programme file 'Polymorphism_CtoT.py' in the GitHub repository 'Nucleotide-Polymorphism'.

opencc-by-4.0Jul 2024View details →

Flow velocity measurement data for the two desanding chambers of HPP Susasca before and after modification of tranquilizing racks in 2019 and 2021

This dataset includes the flow velocity measurements in the sand trap of HPP Susasca before and after the modification of the tranquilizing racks, respectively. The study was conducted by the Laboratory of Hydraulics, Hydrology and Glaciology (VAW), ETH Zurich.

Surface Marine Carbonate System Data (2019-2024) from Volunteer Observing Ship monitoring across the Western Mediterranean Sea

1.     Introduction We present here a high-resolution dataset which spans five years (February 2019 - February 2024) and is based on weekly physicochemical observations of the surface waters along the western boundary of the Mediterranean Sea. Data were automatically collected by a Surface Ocean Observation Platform (SOOP) operating in underway mode aboard the Volunteer Observing Ship (VOS) MV JONA SOPHIE (formerly RENATE P until November 2021), a container ship managed by Nisa Maritima on the route between the Canary Islands and Barcelona. A total of 92 routes were completed in the Mediterranean Sea during the observation period. The SOOP CanOA-VOS line, designed and maintained by the QUIMA research group at IOCAG-ULPGC, is part of Spain’s contribution to the Integrated Carbon Observation System (ICOS-ERIC) since 2021 and is recognized as an ICOS Class 1 Ocean Station, ensuring that the measurement equipment and data collection techniques meet ICOS-ERIC's high-quality standards and methodological recommendations. The data collected is also available at the ICOS Data Portal (<a href="https://www.icos-cp.eu/data-products/ocean-release">https://www.icos-cp.eu/data-products/ocean-release</a>). 2.     Data collection The dataset includes continuous monitoring of CO2 levels in both surface ocean and low atmosphere, following protocols to ensure data comparability and quality given by Pierrot et al., (2009). A detailed description is provided by Curbelo-Hernández et al., 2021a, 2021b). An automated CO2 molar fraction (xCO2) measurement system, developed by Craig Nail and commercialized by General Oceanics™, was installed on the ship. This system integrates air and seawater equilibrators with a non-dispersive infrared analyzer by LICOR® for xCO2 detection. The analyzer is regularly calibrated using standard gases provided by the NOAA, traceable to the World Meteorological Organization (WMO). They were in the order of 0 ppm, 250 ppm, 400 ppm and 550 ppm until January 2021, when the gas bottles for standard 2 to 4 were changed for a new set with concentrations in the order of 300 ppm, 500 ppm and 800 ppm. In addition to xCO2, sea surface temperature (SST) and sea surface salinity (SSS) were monitored using high-precision instruments. The SST was monitored by using a SBE38 thermometer placed at the main seawater intake in the engine room, with a reported error of ±0.01ºC. A SBE45 thermosalinograph and a Hart Scientific HT1523 Handheld Thermometer, with reported errors of ±0.01ºC, were used to monitor the temperature at the entrance of the wet box and inside the equilibrator, respectively. The SBE45 thermosalinograph measured the sea surface salinity (SSS) with an estimated error of ±0.005. Discrete seawater samples were also collected during three round trips in February 2020, March 2021, and October 2023, for further analysis of total alkalinity and dissolved inorganic carbon. A total of 102 discrete samples has been collected in the Mediterranean Sea. Total alkalinity (AT) and total inorganic carbon (CT) were determined using a VINDTA 3C according to Mintrop et al., 2000. AT was analyzed via potentiometric titration with HCl, following the carbonic acid endpoint method (Millero et al., 1993; Dickson and Goyet, 1994), while CT was determined through coulometric titration (Johnson et al., 1993). The VINDTA 3C was calibrated using Certified Reference Material (CRMs) by A. Dickson, ensuring an accuracy of ±1.5 μmol kg-1 for AT and ±1.0 μmol kg-1 for CT. The dataset contains some gaps, including a year-long gap from September 2021 to 2022 due to vessel maintenance and shorter gaps due to technical issues, which were addressed during routine maintenance. Some technical issues in 2020 were delayed due to COVID-19 constraints. 3. Dataset content The dataset includes the following variables:  ·       “Date” (dd/mm/yyyy) ·       “Time” (hh:mm:ss) ·       “Latitude” ·       “Longitude” ·       “equTemp”: seawater temperature measured inside the equilibrator using a Hart Scientific HT1523 Handheld Thermometer. ·       “stdVal”: value of the standard gases used for automatically calibrations. ·       “xCO2”: measured CO2 molar fraction without performing any correlation (raw data). ·       “atmPress”: Atmospheric pressure (units: atm). ·       “equPress”: Diffeence in pressure between the atmosphere and the equilibrator (units: atm). ·       “SST_SBE38”: Sea surface temperature measured with a SBE38 thermometer at the main seawater intake of the vessel. ·       “Temp_SBE45”: Seawater temperature measured with a SBE45 thermosalinograph just before the water supply to the equilibrator. ·       “SSS_SBE45”: Sea surface salinity measured with a SBE45 thermosalinograph just before the water supply to the equilibrator. ·       “xCO2corr_sw”: CO2 molar fraction measured in the sea surface after correction by using standard gases. ·       “xCO2corr_atm”: CO2 molar fraction measured in low atmosphere after correction by using standard gases. ·       “pCO2sw”: Partial pressure of CO2 in the sea surface (units: µatm). ·       “pCO2atm”: Partial pressure of CO2 in low atmosphere (units: µatm). ·       “fCO2sw”: fugacity of CO2 in the sea surface (units: µatm). ·       “fCO2atm”: fugacity of CO2 in low atmosphere (units: µatm). ·       “AT”: Total Alkalinity (µmol kg-1) ·       “CT”: Total Inorganic Carbon (µmol kg-1) ·       “pH”: pH in surface seawater at in situ temperature computed in CO2sys using as input variables AT and fCO2sw. ·       “pH25”: pH in surface seawater at constant temperature of 25ºC computed in CO2sys using as input variables AT and fCO2sw.   Acknowledgement This research was supported by the Canary Islands Government and the Loro Parque Foundation through the CanBIO project, CanOA subproject (2019–2024), and the CARBOCAN agreement (Consejería de Transición Ecológica y Energía, Gobierno de Canarias). We would like to thank the JONA SOPHIE ship owner, the NISA-Marítima company and the captains and crew members for the support during this collaboration. Special thanks to the technician Adrian Castro-Alamo for biweekly equipment maintenance and discrete sampling of total alkalinity aboard the ship. The SOOP CanOA-VOS line is part of the Spanish contribution to the Integrated Carbon Observation System (ICOS-ERIC; https://www.icos-cp.eu/) since 2021 and has been recognized as an ICOS Class 1 Ocean Station. The participation of D. C-H was funded by the PhD grant PIFULPGC-2020-2 ARTHUM-2

opencc-by-sa-4.0Aug 2024View details →

Articles on 'Plastics and Soil' from 2019 onwards

Scientific articles on the topic of 'Plastics and Soil' retrieved from WoS (Clarivate) and Scopus (Elsevier) from 2019 onwards, with duplicates removed

opencc-by-4.0May 2021View details →

Fig. 2 in Erratum: Biological studies of the Oligonychus litchii (Trombidiformes: Tetranychidae) on four commercial litchi cultivars (Florida Entomologist (2019) 102:2 (418-424) DOI: 10.1653/024.102.0220)

Fig. 2. Age-stage-specific survival rate of O. litchii reared on different litchi cultivars at 25 ± 1 °C, 65 to 80% RH, and a photoperiod of 14:10 h (L:D).

opencc-by-4.0May 2021View details →

Fig. 1 in Erratum: Biological studies of the Oligonychus litchii (Trombidiformes: Tetranychidae) on four commercial litchi cultivars (Florida Entomologist (2019) 102:2 (418-424) DOI: 10.1653/024.102.0220)

Fig. 1. Life stages of Oligonychus litchi: (A) egg; (B) larva; (C) protonymph; (D) deutonymph; (E) adult male; (F) adult female.

opencc-by-4.0May 2021View details →

Fig. 3 in Erratum: Biological studies of the Oligonychus litchii (Trombidiformes: Tetranychidae) on four commercial litchi cultivars (Florida Entomologist (2019) 102:2 (418-424) DOI: 10.1653/024.102.0220)

Fig. 3. Age-specific survival rate (lx), age-specific fecundity (mx) of O. litchii reared on different litchi cultivars at 25 ± 1 °C, 65 to 80% RH, and a photoperiod of 14:10 h (L:D).

opencc-zeroSep 2024View details →

FIG. 14 in New data on the biodiversity of Solenogastres (Mollusca, Aplacophora) in the Mediterranean Sea: findings from the program "Our Planet Reviewed" Corsica 2019-2022

FIG. 14. — Histological sections of A, Unciherpia hirsuta (MNHN-IM-2019-18279): circumpharyngeal glands and B, Dorymenia vagans (MNHN-IM-2019-18271): copulatory stylets; C-E, Anamenia gorgonophila (MNHN-IM-2019-18270): C, anterior foregut region; D, radular region; D', detail of the radula, radular sac and ventrolateral foregut glands; E, oblique section of posterior region with abdominal spicules visible on the animal's right side. Abbreviations: see Material and methods. Scale bars: 100 µm.