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F I G U R E 1 2 in Analysis of pigment cell composition, pigment content, tyrosinase content and activity of three kinds of loaches Misgurnus anguillicaudatus from Poyang Lake

F I G U R E 1 2 The content of total carotenoids in three kinds of loaches (*means P <0.05, **means P <0.01). () BBL; () SBL; () NBL; () dorsal skin; () abdominal skin

F I G U R E 1 in Analysis of pigment cell composition, pigment content, tyrosinase content and activity of three kinds of loaches Misgurnus anguillicaudatus from Poyang Lake

F I G U R E 1 External morphology of big blackspot loaches (BBL), small blackspot loaches (SBL) and nonblackspot loaches (NBL). (a) The lateral side of BBL; (b) the lateral side of SBL; (c) the lateral side of NBL; (d) the dorsal side of BBL; (e) the dorsal side of SBL; (f) the dorsal side of NBL

F I G U R E 1 0 in Analysis of pigment cell composition, pigment content, tyrosinase content and activity of three kinds of loaches Misgurnus anguillicaudatus from Poyang Lake

F I G U R E 1 0 Melanin content of three kinds of loaches (*means P <0.05, **means P <0.01). () BBL; () SBL; () NBL; () dorsal skin; () abdominal skin

Data and ARRIVE 2.0 checklist for the original article "Lockbox enrichment facilitates manipulative and cognitive activities for mice"

This repository contains data (XLSX file) related to the original article "Lockbox enrichment facilitates manipulative and cognitive activities for mice", which was submitted for publication to Open Research Europe. Moreover, the ARRIVE checklist including the ARRIVE Essential 10 and the Recommended Set is provided in Version v2.

F I G U R E 2 Fitted logistic curves with 95 in Circadian and seasonal flight activity differences between the sexes of the biocontrol agent Eadya daenerys (Hymenoptera: Braconidae) and the impact of host size on adult emergence

F I G U R E 2 Fitted logistic curves with 95% confidence intervals for the effect of Paropsisterna agricola beetle prepupal weight (mg) for three post-beetle prepupal outcomes (dead beetle prepupa, beetle or E. daenerys wasp).

F I G U R E 3 in Circadian and seasonal flight activity differences between the sexes of the biocontrol agent Eadya daenerys (Hymenoptera: Braconidae) and the impact of host size on adult emergence

F I G U R E 3 Host beetle prepupal weight (mg) (using both Paropsisterna agricola <80 mg and Paropsis charybdis>80 mg) and the head capsule width (mm) of laboratory-reared Eadya daenerys across both host species (n = 96).

F I G U R E 1 in Circadian and seasonal flight activity differences between the sexes of the biocontrol agent Eadya daenerys (Hymenoptera: Braconidae) and the impact of host size on adult emergence

F I G U R E 1 Weekly adult total malaise trap counts for three paropsine leaf beetle hosts of E. daenerys at Runnymede for the 2015/2016 season.

F I G U R E 4 in Circadian and seasonal flight activity differences between the sexes of the biocontrol agent Eadya daenerys (Hymenoptera: Braconidae) and the impact of host size on adult emergence

F I G U R E 4 Head capsule width (mm) of adult Eadya daenerys (left) reared in the laboratory on Paropsisterna agricola (n = 179) or (right) collected in the field (n = 253).

KSPU Moodle activities and marks 2020-2022

Kryvyi Rih State Pedagogical University (KDPU/KSPU) data were collected. The collection and digitization of student performance data across all university specialities for the 2020-2021 (winter and summer sessions) and 2021-2022 (winter session) academic years were approved by the KSPU rector's decision and the university's ethical committee on January 26, 2024. The Course module instances report plugin was used to export a spreadsheet with the course data: <ul> <li>Course name - the original course title from the KSPU Moodle site (https://moodle.kdpu.edu.ua);</li> <li>Course ID - unique number (3..10062) identified the course; it can be useful for courses with identical titles;</li> <li>Root category - the course root category used in KSPU. Each category has been encoded with a unique number as follows:  1. Природничий факультет  2. Психолого-педагогічний факультет 3. Факультет географії, туризму та історії 4. Факультет педагогічної освіти 5. Факультет іноземних мов 6. Факультет мистецтв 7. Факультет української філології 8. Фізико-математичний факультет 9. Загальноуніверситетські кафедри та відділи</li> <li>Category - additional course category further ignored;</li> <li>Module types: H5P, HotPot, SCORM, URL, Survey, Database, Choice, Visiting, Wiki, Glossary, Assignments, Feedback, LTI External tool activity, Book, Label, Workshop, Page, Folder, Quiz, Lesson, File, Forum, Chat;</li> <li>Instances - the number of module instances used in the course.</li> </ul> The total number of records received on April 07, 2024, was 25595. After receiving the list of all courses, courses with a non-educational purpose (surveys, service, etc.) and courses taught in graduate school were removed from the general list. The total number of records after removal is 17985. The new spreadsheet was built based on the exported, non-removed data. It contains 3600 courses. The information block was also added (the data were extracted manually from the course annotations in Moodle), including the form of education, educational level, semester, status, and number of teachers. After that, the relevant courses with student grades were filled in. After this process was completed, the number of courses was reduced to 985, as new courses not taught from 2020 to 2022 were excluded. Data fields: <table> <tbody> <tr> <td>Field</td> <td>Description</td> </tr> <tr> <td>Course ID</td> <td>a unique number (3..10062) identified the course</td> </tr> <tr> <td>Сategory</td> <td>the course root category identifier (1..9)</td> </tr> <tr> <td>Form of education</td> <td>1 - course for fulltime education only, 2 - course for part-time education only, 3 - course for both full-time and part-time education</td> </tr> <tr> <td>Semester</td> <td>semester in which the course is ended (1..8)</td> </tr> <tr> <td>Status</td> <td>1 - normative course, 2 - optional course</td> </tr> <tr> <td>Educational level</td> <td>1 - undergraduate level (course for bachelor students), 2 - graduate level (course for master students)</td> </tr> <tr> <td>Number of teachers</td> <td>Number of teacher staff related to the course (1..9)</td> </tr> <tr> <td>H5P</td> <td>Number of H5P activity instances used in the course (0..3)</td> </tr> <tr> <td>HotPot</td> <td>Number of HotPot activity instances used in the course (0..3)</td> </tr> <tr> <td>SCORM</td> <td>Number of SCORM activity instances used in the course (0..15)</td> </tr> <tr> <td>URL</td> <td>Number of URL resource instances used in the course (0..83)</td> </tr> <tr> <td>Survey</td> <td>Number of Survey activity instances used in the course (0..1)</td> </tr> <tr> <td>Database</td> <td>Number of Database activity instances used in the course (0..9)</td> </tr> <tr> <td>Choice</td> <td>Number of Choice activity instances used in the course (0..1)</td> </tr> <tr> <td>Visiting</td> <td>Number of Visiting activity instances used in the course (0..3)</td> </tr> <tr> <td>Wiki</td> <td>Number of Wiki activity instances used in the course (0..11)</td> </tr> <tr> <td>Glossary</td> <td>Number of Glossary activity instances used in the course (0..5)</td> </tr> <tr> <td>Assignments</td> <td>Number of Assignments activity instances used in the course (0..142)</td> </tr> <tr> <td>Feedback</td> <td>Number of Feedback activity instances used in the course (0..2)</td> </tr> <tr> <td>LTI External tool activity</td> <td>Number of LTI External tool activity instances used in the course (0..1)</td> </tr> <tr> <td>Book</td> <td>Number of Book resource instances used in the course (0..20)</td> </tr> <tr> <td>Label</td> <td>Number of Label resource instances used in the course (0..117)</td> </tr> <tr> <td>Workshop</td> <td>Number of Workshop activity instances used in the course (0..25)</td> </tr> <tr> <td>Page</td> <td>Number of Page resource instances used in the course (0..53)</td> </tr> <tr> <td>Folder</td> <td>Number of Folder resource instances used in the course (0..22)</td> </tr> <tr> <td>Quiz</td> <td>Number of Quiz activity instances used in the course (0..93)</td> </tr> <tr> <td>Lesson</td> <td>Number of Lesson activity instances used in the course (0..17)</td> </tr> <tr> <td>File</td> <td>Number of File resource instances used in the course (0..54)</td> </tr> <tr> <td>Forum</td> <td>Number of Forum communication activity instances used in the course (0..13)</td> </tr> <tr> <td>Chat</td> <td>Number of Chat communication activity instances used in the course (0..1)</td> </tr> <tr> <td>A</td> <td>Number of A marks among the course final grades</td> </tr> <tr> <td>A%</td> <td>Percent of A marks among the course final grades</td> </tr> <tr> <td>B</td> <td>Number of B marks among the course final grades</td> </tr> <tr> <td>B%</td> <td>Percent of B marks among the course final grades</td> </tr> <tr> <td>C</td> <td>Number of C marks among the course final grades</td> </tr> <tr> <td>C%</td> <td>Percent of C marks among the course final grades</td> </tr> <tr> <td>D</td> <td>Number of D marks among the course final grades</td> </tr> <tr> <td>D%</td> <td>Percent of D marks among the course final grades</td> </tr> <tr> <td>E</td> <td>Number of E marks among the course final grades</td> </tr> <tr> <td>E%</td> <td>Percent of E marks among the course final grades</td> </tr> <tr> <td>F</td> <td>Number of Fx and F marks among the course final grades</td> </tr> <tr> <td>F%</td> <td>Percent of Fx and F marks among the course final grades</td> </tr> </tbody> </table>

F I G U R E 6 in Analysis of pigment cell composition, pigment content, tyrosinase content and activity of three kinds of loaches Misgurnus anguillicaudatus from Poyang Lake

F I G U R E 6 Melanocyte distribution in skin of three kinds of loaches with MF staining. (a) The dorsal skin of big blackspot loaches (BBL), (b) the dorsal skin of small blackspot loaches (SBL), (c) the dorsal skin of non-blackspot loaches (NBL), (d) the abdominal skin of BBL, (e) the abdominal skin of SBL and (f) the abdominal skin of NBL. The black arrow indicates melanocytes

F I G U R E 5 in Analysis of pigment cell composition, pigment content, tyrosinase content and activity of three kinds of loaches Misgurnus anguillicaudatus from Poyang Lake

F I G U R E 5 Melanocytes distribution in skin of three kinds of loaches. (a) The dorsal skin of big blackspot loaches (BBL), (b) the dorsal skin of small blackspot loaches (SBL), (c) the dorsal skin of non-blackspot loaches (NBL), (d) the abdominal skin of BBL, (e) the abdominal skin of SBL and (f) the abdominal skin of NBL. The black arrow refers to melanocytes

Daily Life Activities Dataset

Experiment design The Daily Life Activities (DLA) dataset consists of trials of daily life object manipulation tasks performed by a human. The dataset consists of ten tasks: cutting, painting, pouring with cup, putting cup away, quarter turn, scooping and pouring, scooping food, shaking, sinusoidal motion, and table wiping. In this dataset, a high variation in the context was purposefully introduced. That is, the tasks were performed with respect to three different viewpoints (V1, V2, V3) and with four different execution styles (normal, with  larger spatial scale, with different velocity profile, and with longer time duration). This resulted in a total of (3x4=12) twelve different contexts in which the tasks were performed. Each task was performed ten times in every context, resulting in a total of (10x3x4x10=1200) trials. Experimental setup The trials were recorded using a Krypton K600 camera from NIKON Metrology by tracking up to nine LED markers attached to the manipulated object. The 3D position of each LED marker was recorded with a sampling rate of 50 Hz and expected accuracy of 0.4mm with respect to the measurement frame of the camera system. Data format Every trial_xxx.mat file is a Matlab structure array. The trailing number xxx refers to the order in which the trials were performed. For every task: <ul> <li> trial_001.mat up to trial_040.mat were recorded in sensor viewpoint 1. <ul> <li>trial_001.mat up to trial_010.mat were executed with execution style: normal.</li> <li>trial_011.mat up to trial_020.mat were executed with execution style: longer time duration.</li> <li>trial_021.mat up to trial_030.mat were executed with execution style: larger spatial scale.</li> <li>trial_031.mat up to trial_040.mat were executed with execution style: different velocity profile.</li> </ul> </li> <li> trial_041.mat up to trial_080.mat were recorded in sensor viewpoint 2.  <ul> <li>trial_041.mat up to trial_050.mat were executed with execution style: normal.</li> <li>trial_051.mat up to trial_060.mat were executed with execution style: longer time duration.</li> <li>trial_061.mat up to trial_070.mat were executed with execution style: larger spatial scale.</li> <li>trial_071.mat up to trial_080.mat were executed with execution style: different velocity profile.</li> </ul> </li> <li> trial_081.mat up to trial_120.mat were recorded in sensor viewpoint 3.  <ul> <li>trial_081.mat up to trial_090.mat were executed with execution style: normal.</li> <li>trial_091.mat up to trial_100.mat were executed with execution style: longer time duration.</li> <li>trial_101.mat up to trial_110.mat were executed with execution style: larger spatial scale.</li> <li>trial_111.mat up to trial_120.mat were executed with execution style: different velocity profile.</li> </ul> </li> </ul> The structure array trial_xxx.mat has the following fields: <ul> <li>'number_of_timesamples': the total number of timesamples (N) for the recorded task,</li> <li>'K6C_12250_3_x': a 4xN matrix containing the 3D position coordinates of the LED marker expressed in millimeters. The trailing number x in 'K6C_12250_3_x' refers to the LED number, which can range from 1 to 9. <ul> <li>In case the LED marker was visible, the first, second and third row contain the x-, y-, and z-coordinates of the marker, respectively. The fourth row contains the zero value in this case.</li> <li>In case the LED marker was not visible, the first, second and third row contain zero values.  The fourth row contains a non-zero value in this case.</li> </ul> </li> </ul>

opencc-by-4.0Mar 2024View details →

Figure 5 in Grafting increases superoxide dismutase and catalase activity to overcome the impact of the two-spotted spider mite on eggplant growth and productivity

Figure 5 Influence of TSSM infestation density on chlorophyll a+b (A) and carotenoids (B) content in grafted and non-grafted eggplant leaves. Means followed by the same letter(s) are not significantly different.

opencc-by-4.0Mar 2024View details →

Figure 3 in Grafting increases superoxide dismutase and catalase activity to overcome the impact of the two-spotted spider mite on eggplant growth and productivity

Figure 3 Effect of grafting on fruit number, fruit weight per plant and average fruit weight in grafted A338 on STT3 and non-grafted plants. The asterisk indicates statistical significance (P <0.05), and (ns) indicates not significant (P> 0.05) between two treatment analyzed by Two-tailed paired Student t-test.

opencc-by-4.0Mar 2024View details →

Figure 1 in Grafting increases superoxide dismutase and catalase activity to overcome the impact of the two-spotted spider mite on eggplant growth and productivity

Figure 1 Monthly abundance of TSSM egg (A), nymph (B) and adult (C) stages in grafted and nongrafted eggplants. Means followed by the same letter(s) are not significantly different.

opencc-by-4.0Feb 2020View details →

Figs. 1 A-H in Phytotoxic activity of extracts obtained from cagaita (Eugenia dysenterica DC. - Myrtaceae) on the growth of black-jack (Bidens pilosa L.)

Figs. 1 A-H. Effect of different leaf and stem extracts of Eugenia dysenterica DC. on the radicle growth (mm) of Bidens pilosa L. seeds. Means followed by the same letter in the column do not differ from each other by the Tukey test at 5% probability. A. Leaf Aqueous Extract (LAE); B. Leaf Ethanolic Extract (LEE); C. Leaf Hydroalcoholic Extract 70:30 (LHE 70:30); D. Leaf Hydroalcoholic Extract 50:50 (LHE 50:50), E. Stem aqueous extract (SAE); F. Stem ethanolic extract (SEE), G. Stem hydroalcoholic extract 70:30 (SHE 70:30); H. Stem hydroalcoholic extract 50:50 (SHE 50:50).

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Data from: Insights from a 31-year study demonstrate an inverse correlation between recreational activities and red deer fecundity, with body weight as a mediator

Human activity is omnipresent in our landscapes. Animals can perceive risk from humans similar to predation risk, which could affect their fitness. We assessed the influence of the relative intensity of recreational activities on body weight and pregnancy rates of red deer (Cervus elaphus) between 1985 and 2015. We hypothesized that stress, as a result of recreational activities, affects pregnancy rates of red deer directly and indirectly via a reduction in body weight. Furthermore, we expected non-motorized recreational activities to have a larger negative effect on both body weight and fecundity, compared to motorized recreational activities. The intensity of recreational activities was recorded through visual observations. We obtained pregnancy data from female red deer that were shot during the regular hunting season. Additionally, age and body weight were determined through post-mortem examination. We used two generalized linear mixed models (GLMM) to test the effect of different types of recreation on 1) pregnancy rates and 2) body weight of red deer. Recreation had a direct negative correlation with the fecundity of red deer, with body weight as a mediator as expected. Besides, we found a negative effect of non-motorized recreation on fecundity and body weight and no significant effect of motorized recreation. Our results support the concept of humans as an important stressor affecting wild animal populations at a population level and plead to regulate recreational activities in protected areas that are sensitive. The fear humans induce in large-bodied herbivores and its consequences for fitness may have strong implications for animal populations.

opencc-zeroApr 2024View details →

opencc-by-4.0Feb 2020View details →

Figs. 2 A-H in Phytotoxic activity of extracts obtained from cagaita (Eugenia dysenterica DC. - Myrtaceae) on the growth of black-jack (Bidens pilosa L.)

Figs. 2 A-H. Effect of different leaf and stem extracts of Eugenia dysenterica DC. on the hypocotyl growth (mm) of Bidens pilosa L. seeds. Means followed by the same letter in the column do not differ from each other by the Tukey test at 5% probability. A. Leaf Aqueous Extract (LAE); B. Leaf Ethanolic Extract (LEE); C. Leaf Hydroalcoholic Extract 70:30 (LHE 70:30); D. Leaf Hydroalcoholic Extract 50:50 (LHE 50:50); E. Stem aqueous extract (SAE); F. Stem ethanolic extract (SEE); G. Stem hydroalcoholic extract 70:30 (SHE 70:30); H. Stem hydroalcoholic extract 50:50 (SHE 50:50).

The NGDEEP NIRIS calibration files for 'The Next Generation Deep Extragalactic Exploratory Public Near-Infrared Slitless Survey Epoch 1 (NGDEEP-NISS1): Extra-Galactic Star-formation and Active Galactic Nuclei at 0.5 < z < 3.6

GRISMCONF configurations files used in Pirzkal et al. 2024. These contain the full field calibrated solution for the dispersion solution, trace as well as wavelength calibration. They provide a mean to extract NIRISS WFSS spectra obtained using the F115W, F150W, or F200W to within an acccuracy better than 0.25 pixel over most of the field of view.  Wavelength calibration of both grism was verified to be accurate to within 15A over most of the field of view. Details can be found in Appendix A of Pirzkal et al. 2024.