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Fig. 6 in Post-collection taphonomy, sampling effects and the role of the collector in palaeontological collections: A case study from an early Late Triassic bone accumulation in southernmost Brazil

Fig. 6. Selected specimens from the three collections showing effects of sullegic (i.e., during sampling activity), trephic (i.e., from transport to preparation and storage) and "taxonomical" factors. A and B show two mandibles of traversodontid cynodonts, of which previously just two out of ten fragments were considered as such, while the rest as indeterminate fragments. In C, several specimens from a single original association, numbered separately, and now together again, still being able to provide taphonomic information. Some of them (e.g., rib fragments) had been associated with similar others and analyzed with systematic interest, losing the taphonomic information. D shows two parts of the same bone (D1, MCP-PV 4017; D2, MCP-PV 4028), a right femur, encountered already separated and isolated, and catalogued as two different specimens, part in D2 being identified as an indeterminate fragment.

Fig. 3 in Post-collection taphonomy, sampling effects and the role of the collector in palaeontological collections: A case study from an early Late Triassic bone accumulation in southernmost Brazil

Fig. 3. Results of the sampling by three institutions (A–C) schematized into the Voorhies Groups (Voorhies 1969, sensu Behrensmeyer 1975; modified), favouring biases in data interpretations and palaeoecological reconstructions. Abbreviations: ifr, indeterminate fragments; ith, isolated teeth; ND, not determinable; VG, Voorhies Groups.

Fig. 2 in Post-collection taphonomy, sampling effects and the role of the collector in palaeontological collections: A case study from an early Late Triassic bone accumulation in southernmost Brazil

Fig. 2. Timeline of the sampling activities carried out at the Schoenstatt site by the three institutions.

Fig. 1 in Post-collection taphonomy, sampling effects and the role of the collector in palaeontological collections: A case study from an early Late Triassic bone accumulation in southernmost Brazil

Fig. 1. Maps showing position of the Santa Maria Supersequence in South America (southern Brazil, Paraná Basin) (A) and the Rio Grande do Sul State (B). C. Location of the outcrops in which the Santacruzodon AZ has been recognized (stars).

opencc-by-4.0Dec 2016View details →

Figure 1 in Quantifying scientific significance of a fossil site: the Gogo Fossil sites (Late Devonian, Western Australia) as a case study

Figure 1. Map showing area covering the Gogo Formation site localities (geology taken from Long and Trinajstic, 2010, figure 1).

FIG. 3 in Response of bryophytes to disturbances in managed forests. A case study from a Polish forest

FIG. 3. — Co-correspondence analysis biplot illustrating the ordination of most frequent bryophyte species colonizing ground in relation to the statistically significant environmental variables (n=75). Abbreviations: Age, forest age; DBH.max, maximal trees diameter at breast height; DW.vol, dead wood volume; L, Ellenberg indicator value (EIV) for light; T, EIV for temperature; F, EIV for moisture; R, EIV for pH; N, EIV for nitrogen; the first four letters of species indicate genus name, next four indicate species names and next four letters subspecies names.

0.0 0.5 1.0 1.5 RDA 1 FIG. 4 in Response of bryophytes to disturbances in managed forests. A case study from a Polish forest

0.0 0.5 1.0 1.5 RDA 1 FIG. 4. — Redundancy analysis biplot illustrating the ordination of most frequent bryophyte species colonizing tree trunks in relation to the statistically significant environmental variables for the plots with the presence of tree host species (n=41). Abbreviations as in Fig. 3.

FIG. 6 in Response of bryophytes to disturbances in managed forests. A case study from a Polish forest

FIG. 6. — Redundancy analysis biplot illustrating the ordination of most frequent bryophyte species colonizing dead wood in relation to the statistically significant environmental variables for the plots with the presence of decaying logs (n=80). Abbreviations as in Fig. 3

FIG. 5 in Response of bryophytes to disturbances in managed forests. A case study from a Polish forest

FIG. 5. — Redundancy analysis biplot illustrating the ordination of most frequent bryophyte species colonizing tree bases in relation to the statistically significant environmental variables for the plots with the presence of tree host species (n=96). Abbreviations as in Fig. 3.

FIG. 2 in Response of bryophytes to disturbances in managed forests. A case study from a Polish forest

FIG. 2. — Frequency of occurrence of bryophytes generally and in the four types of substrates considered.

opencc-zeroJun 2024View details →

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Code from: Enhancing data-limited assessments with random effects: A case study on Korea chub mackerel (Scomber japonicus)

<div> <div> <div> <p>In a state-space framework, temporal variations in fishery-dependent processes can be modeled as random effects. This modeling flexibility makes state-space models (SSMs) powerful tools for data-limited assessments. Though SSMs enable the model-based inference of the unobserved processes, their flexibility can lead to overfitting and non-identifiability issues. To address these challenges, we developed a suite of state-space length-based age-structured models and applied them to the Korean chub mackerel (<em>Scomber japonicus</em>) stock. Our research demonstrated that incorporating temporal variations in fishery-dependent processes can rectify model mis-specification but may compromise robustness, which can be diagnosed through a series of model checking processes. To tackle non-identifiability, we used a non- degenerate estimator, implementing a gamma distribution as a penalty for the standard deviation parameters of observation errors. This penalty function enabled the simultaneous estimation of both process and observation error variances with minimal bias, a notably challenging task in SSMs. These results highlight the importance of model checking and the effectiveness of the penalized approach in estimating SSMs. Additionally, we discussed novel assessment outcomes for the mackerel stock.</p> </div> </div> </div>

opencc-by-4.0Jun 2024View details →

Dataset from: "Assessment of depression, anxiety, and psychological symptoms in parents of pediatric palliative care patients: A single-center case-control study"

<p>The dataset comprises raw data from a case-control study that compared levels of depression, anxiety, and general psychological symptoms between parents of pediatric palliative care (PPC) patients and parents of healthy controls.</p> <p>Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), and Symptom Checklist-90 Revised (SCL-90-R) were employed to provide a comprehensive and nuanced understanding of the mental health challenges faced by parents.</p> <p>The designation "case" in the first column (A) represents the parents of PPC patients, while the designation "control" represents the control group.  The columns labeled B to S present demographic characteristics data, while columns T to AR present inventory scores. Columns BB to GC, in turn, present the responses to the inventory items.</p> <p> </p> <p> </p>

opencc-by-4.0Jun 2024View details →

Fig. 3. A in The Phenomenon Of A Mixed Colony: The Case Of Lasius Brunneus And Lasius Umbratus (Hymenoptera, Formicidae)

Fig. 3. A — average number of antennal contacts between workers on the trail in 2 seconds (Umb — L. umbratus, Br — L. brunneus); B — average number of workers not involved in antennal contacts.

opencc-by-4.0Jun 2024View details →

T a b l e 1 in The Phenomenon Of A Mixed Colony: The Case Of Lasius Brunneus And Lasius Umbratus (Hymenoptera, Formicidae)

T a b l e 1. Results of statistical analysis for activity parameters of Lasius brunneus and L. umbratus workers on the trail of a mixed colony

Fig. 4 in Population counts and potential impact of two successful invaders in a town of Northern Italy: the case of ring-necked parakeet and Alexandrine parakeet in Reggio Emilia

Fig. 4 - One of the four Savi's pipistrelles killed by RNPs in Reggio Emilia. / Uno dei quattro pipistrelli di Savi uccisi da parrocchetti dal collare a Reggio Emilia.

Fig. 3 in Population counts and potential impact of two successful invaders in a town of Northern Italy: the case of ring-necked parakeet and Alexandrine parakeet in Reggio Emilia

Fig. 3 - Mean consumption (and standard deviations) of persimmons by RNPs, APs and AP×RNP hybrids in 2019 and 2020. / Consumo medio percentuale (e deviazione standard) di cachi per pianta da parte di parrocchetti dal collare, parrocchetti di Alessandro e ibridi nel 2019 e nel 2020.

Fig. 1 in Population counts and potential impact of two successful invaders in a town of Northern Italy: the case of ring-necked parakeet and Alexandrine parakeet in Reggio Emilia

Fig. 1 - Male individuals of ring-necked parakeet (left) and Alexandrine parakeet (right) in Reggio Emilia. / Individui di sesso maschile di parrocchetto dal collare (sinistra) e parrocchetto di Alessandro (destra) a Reggio Emilia. (Photo: / Foto: S. Manfredini).

Fig. 2 in Population counts and potential impact of two successful invaders in a town of Northern Italy: the case of ring-necked parakeet and Alexandrine parakeet in Reggio Emilia

Fig. 2 - Population counts at night roosts showing the growing trends of both RNPs and APs in Reggio Emilia. Counts recorded during our 2019-2020 survey are shown in a blue rectangle. The 2008-2018 counts were obtained from the literature and citizen-science web platforms (Chessa, 2020). / Conteggi di parrocchetti ai dormitori notturni, con tendenze crescenti sia di parrocchetto dal collare sia di parrocchetto di Alessandro a Reggio Emilia. I conteggi del 2019-2020 sono riportate nel rettangolo blu. I conteggi 2008-2018 sono stati ottenuti da letteratura e da piattaforme web di citizen-science (Chessa, 2020).

opencc-by-4.0Feb 2024View details →

Fig. 4 in Refining the Occurrence of Viral Encephalopathy and Retinopathy, Photobacteriosis, and Vibriosis in Connection with Seawater Physicochemical Parameters: A Five-Year Case Study Abstract

Fig. 4: Estimated time series of the probability of absence/presence (0 to 1) based on the model (depicted by a line), alongside on-site records of absence/presence (represented by dots) for three diseases at Fish Farm A.