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Small-angle Scattering Data Analysis Round Robin: anonymized results, figures and Jupyter notebook
<p>The intent of this round robin was to find out how comparable results from different researchers are, who analyse exactly the same processed, corrected dataset.</p> <p>This zip file contains the anonymized results and the jupyter notebook used to do the data processing, analysis and visualisation. Additionally, TEM images of the samples are included. </p>
Text-fig. 2. Scanning electron microscope (SEM, a, c–f) and synchrotron radiation X-ray tomographic microscopy (SRXTM, b, g) images of the flower of Mugideiriflora portugallica (a, b) and fruits, seeds and pollen of Canrightia resinifera (c–g); Catefica locality, Portugal. a) Oblique, apical view of flower showing multiparted organization with numerous laminar tepals, stamens that are rhomboidal and flattened in transverse section and carpels that are borne on the short conical apex of the receptacle; b) Transverse section (orthoslice xy0800) through basal part of flower showing the elongate bases of the laminar tepals and the flattened rhomboidal bases of the stamens; c) Fruit in lateral view showing irregular surface resulting from the abundant resin bodies in the fruit and hypanthium wall, scars from stamens on the rim of the hypanthium (arrowheads) and the lobed apical stigmatic region (st); d) Broken fruit with one or two seeds missing but showing three pendant, orthotropous seeds with pointed micropylar regions (mi) and a finely pitted crystalliferous endotesta; note the remains of the apical vascular bundles (vb); e) Single seed isolated from a fruit showing two distinct bundles (vb) still attached apically to the chalazal region of the seed, the pointed micropyle (mi) and the finely pitted surface of the crystalliferous endotesta; f) Monocolpate pollen from stigmatic region of fruit showing the long colpus and coarse reticulum; g) Transverse section (orthoslice xy0705) through a fruit showing four seeds all with radially elongated endothelium cells formed from the inner epidermis of the tegmen (asterisks). Specimens, Catefica 150-S174254 (a, b), Catefica 49-S170377 (c), Catefica 49-S170372 (d), Catefica 50-S170401 (e), Catefica 50-S170404 (f), Catefica 50-S174906 (g). Scale bars = 300 Μm (a–e, g), 6 Μm (f). in The Early Cretaceous Mesofossil Flora Of Catefica, Portugal: Angiosperms
Text-fig. 2. Scanning electron microscope (SEM, a, c–f) and synchrotron radiation X-ray tomographic microscopy (SRXTM, b, g) images of the flower of Mugideiriflora portugallica (a, b) and fruits, seeds and pollen of Canrightia resinifera (c–g); Catefica locality, Portugal. a) Oblique, apical view of flower showing multiparted organization with numerous laminar tepals, stamens that are rhomboidal and flattened in transverse section and carpels that are borne on the short conical apex of the receptacle; b) Transverse section (orthoslice xy0800) through basal part of flower showing the elongate bases of the laminar tepals and the flattened rhomboidal bases of the stamens; c) Fruit in lateral view showing irregular surface resulting from the abundant resin bodies in the fruit and hypanthium wall, scars from stamens on the rim of the hypanthium (arrowheads) and the lobed apical stigmatic region (st); d) Broken fruit with one or two seeds missing but showing three pendant, orthotropous seeds with pointed micropylar regions (mi) and a finely pitted crystalliferous endotesta; note the remains of the apical vascular bundles (vb); e) Single seed isolated from a fruit showing two distinct bundles (vb) still attached apically to the chalazal region of the seed, the pointed micropyle (mi) and the finely pitted surface of the crystalliferous endotesta; f) Monocolpate pollen from stigmatic region of fruit showing the long colpus and coarse reticulum; g) Transverse section (orthoslice xy0705) through a fruit showing four seeds all with radially elongated endothelium cells formed from the inner epidermis of the tegmen (asterisks). Specimens, Catefica 150-S174254 (a, b), Catefica 49-S170377 (c), Catefica 49-S170372 (d), Catefica 50-S170401 (e), Catefica 50-S170404 (f), Catefica 50-S174906 (g). Scale bars = 300 Μm (a–e, g), 6 Μm (f).
The LOTUS Initiative for Open Natural Products Research: wikidata query results
<p>Wikidata query results returned by the downloadLotus module of the <a href="https://github.com/lotusnprod/lotus-wikidata-interact">https://github.com/lotusnprod/lotus-wikidata-interact</a> program.</p> <p>See details of the module here <a href="https://github.com/lotusnprod/lotus-wikidata-interact/blob/main/downloadLotus/README.md">https://github.com/lotusnprod/lotus-wikidata-interact/blob/main/downloadLotus/README.md</a></p> <p>This dataset is constituted of 4 tables.</p> <ol> <li>compounds.tsv - chemical structures metadata (wikidataId, canonicalSmiles, isomericSmiles, inchi, inchiKey)</li> <li>references.tsv - bibliographical references metadata (wikidataId, pipe separated DOIs, titles)</li> <li>taxa.tsv - biological organisms metadata (wikidataId, pipe separated names, taxa rank)</li> <li>compound_reference_taxon.tsv - the documented structure-organism pairs</li> </ol> <p>This dataset includes not only the outputs of the LOTUS processing pipeline (available here <a href="https://doi.org/10.5281/zenodo.5665295">https://doi.org/10.5281/zenodo.5665295</a> ) but also any of wikidata chemical compounds having the found in taxon property (<a href="https://www.wikidata.org/wiki/Property:P703">https://www.wikidata.org/wiki/Property:P703</a>) and their associated organisms and documenting references.</p> <p> </p> <p><br> </p>
200-years ice core bromine reconstruction at Dome C (Antarctica): observational and modelling results
<p>Bromine enrichment (Br<sub>enr</sub>) has been proposed as an ice core proxy for past sea-ice reconstruction. Understanding the processes that influence bromine preservation in the ice is crucial to achieve a reliable interpretation of ice core signals and to potentially relate them to past sea ice variability. Here, we present a 210 years bromine record that sheds light on the main processes controlling bromine preservation in the snow and ice at Dome C, East Antarctic plateau. Using observations alongside a modelling approach, we demonstrate that the bromine signal is preserved at Dome C and it is not affected by the strong variations in ultraviolet radiation reaching the Antarctic plateau due to the stratospheric ozone hole. Based on this, we investigate whether the Dome C Br<sub>enr</sub> record can be used as an effective tracer of past Antarctic sea ice. Due to the limited time window covered by satellite measurements and the low sea-ice variability observed during the last 30 years in East Antarctica, we cannot fully validate Br<sub>enr </sub>as an effective proxy for past sea-ice reconstructions at Dome C.</p> <p>In this database, annual averaged data for Br, Na and Br<sub>enr</sub> for the shallow ice core are provided.</p> <p> </p>
Bubble measurement results for boiling bubbles in microgravity
<p>This dataset is supplementary material to the submission “Contour boundary detection and measurement of boiling bubbles in microgravity”, by Xenophon Zabulis, Polykarpos Karamaounas, Ourania Oikonomidou, Sotiris Evgenidis, Margaritis Kostoglou, Axel Sielaff, Peter Stephan, Thodoris Karapantsios. The dataset contains videos that show the results of contour tracing and contact angle estimation of the proposed method on the reference data sets provided in [1]. The results are provided in a lossless video format.</p> <p>The reference datasets are 15 and denoted as D1 to D15. Data sets, D6, D7, D8, D9 and D15 record one bubble. The rest record multiple bubbles.</p> <p>All videos show the estimated contact points, the traced bubble contour, and the estimated contact angles. Each video frame shows also the dataset, bubble number, and frame number, in the center of the found bubble. Below this reading, the estimates of the contact angles are printed.</p> <p>Ground truth annotations for the bubbles shown in the first part can be found in [2].</p> <p>[1] A. Sielaff, D. Mangini, O. Kabov, M. Raza, A. Garivalis, M. Zupančič, S. Dehaeck, S. Evgenidis, C. Jacobs, D. Van Hoof, O. Oikonomidou, X. Zabulis, P. Karamaounas, A. Bender, F. Ronshin, M. Schinnerl, J. Sebilleau, C. Colin, P. Di Marco, T. Karapantsios, I. Golobič, A. Rednikov, P. Colinet, P. Stephan, L. Tadrist, The multiscale boiling investigation on-board the international space station: An overview, Applied Thermal Engineering 205 (2022) 117932. doi:10.1016/j.applthermaleng.2021.117932</p> <p>[2] X. Zabulis, P. Karamaounas, O. Oikonomidou, S. Evgenidis, M. Kostoglou, A. Sielaff, P. Stephan, T. Karapantsios, Ground truth annotations for boiling bubble detection and measurement in microgravity (Jan. 2023). doi:10.5281/zenodo.7553797. URL https://doi.org/10.5281/zenodo.7553797</p>
Automatic Specialization of Third-Party Java Dependencies - Experimental Results
<p>This entry contains the experimental results of the research paper titled: <strong>Automatic Specialization of Third-Party Java Dependencies</strong><em>. </em>It includes the build results (e.g., executions logs, test results, JAR files, etc.) for the original, debloated, and specialized variants of the dependency trees for the 30 Java project used as study subjects in the paper.</p>
Results set of GOTM-FABM-BFM 1D simulations at the BOUSSOLE site
<p>Output of model simulations of GOTM-FABM-BFM 1D at the BOUSSOLE site (RUNS_carbon) and time series of satellite data at the site (SAT_DATA). Both datasets can be integrated in https://github.com/ealvarez-s/results_BFM_CDOM.git, that contains all code scripts to reproduce results shown in Álvarez et al. (2023): Chromophoric dissolved organic matter dynamics revealed through the optimization of a spectrally and vertically resolved model in the NW Mediterranean Sea.</p>
Example Data, Analysis and Results Files for MAUD-batch-analysis
<p>Example data, example analysis and example results files for using with the <a href="https://github.com/LightForm-group/MAUD-batch-analysis">MAUD-batch-analysis</a> package. The MAUD-batch analysis package can also be downloaded from Zenodo as <a href="https://doi.org/10.5281/zenodo.7603382">v1.0.0</a>.</p> <p>To run an example analysis with MAUD batch mode, download these data, analysis and results files and unzip them into the respective folders in the MAUD-batch-analysis package.</p>
Data and Results for: Comparing Apples with Apples: Robust Detection Limits for Exoplanet High-Contrast Imaging in the Presence of non-Gaussian Noise
<p>This collection of data and results contains everything needed to reproduce the results in the paper:</p> <p>Comparing Apples with Apples: Robust Detection Limits for Exoplanet \\ High-Contrast Imaging in the Presence of non-Gaussian Noise</p> <p>The <a href="/api/files/53bfc05e-f632-443a-9c07-590b9bf860e1/apples_root_dir.zip?versionId=d41f6d1e-ef44-497c-ae2a-a5b291a8c9b9">apples_root_dir.zip</a> is further needed to run the examples of the python package Applefy.</p>
A habitat connectivity reality check for fish physical habitat model results and decision making for river restoration
<ol> <li>Fish physical habitat models are a tool for guiding restoration efforts in lotic ecosystems but often they overestimate restoration outcomes because currently they do not incorporate habitat connectivity. This persistent issue can, in extreme cases, result in little or no improvement to fish populations after the restoration, wasting valuable conservation resources.</li> <li>We present a case study where practitioners applied a fish habitat model for multiple life history stages of gravel spawning fishes to a 52 kilometer stretch of the Iller River but did so at a microscale implementation (every 200 meters). This approach provided an opportunity to assess the connectivity of gravel spawning fishes to find suitable habitats for all life history stages and seasonal movements.</li> <li>We used the assessed habitat estimates (availability of distinct habitat types within the 200 m reaches) to calculate the minimum distance a fish would need to go as it hypothetically “grew up” from egg to full spawning adult. We call this technique a reality check as it results in a decisive understanding of which areas were ultimately necessary to fulfill the life cycle of gravel spawning fishes, which standard assessments do not show.</li> <li>Our results show that complete connectivity still require long movement distances for vulnerable life stages to find suitable habitat. This contradicts standard practice, as restoration schemes and decision making often assume that connectivity inherently leads to more fish production without added habitat restoration.</li> <li>We recommend practitioners should perform this habitat connectivity approach when assessments implement fish habitat suitability models at similar scales. As a result, decision makers can evaluate proposed restoration sites and measures more realistically.</li> </ol>
M81 post-processed results from Lightning SED fitting
<p>The post-processed results from the Lightning SED fitting code as fit by the authors for the spatially resolved map of M81. The results are for the MCMC sampler (m81_map_mcmc.fits.gz) and the MPFIT minimizer (m81_map_mpfit.fits.gz). Fitting of this example was performed on a 32-core node of the Pinnacle cluster at the Arkansas High Performance Computing Center.</p>
Research Data for System test results for the R744 systems
<p>This dataset provides the research data system test results of R-744 (propane) systems. In the TRI-HP project, a new heat pump system with R-744 was integrated into multiple renewable energy sources. There were two experimental campaigns. After analysing the results of the first experimental campaign, the prototype was further improved. The second experimental campaign was conducted with the improved prototype.</p> <p>The detailed information can be found in ZENODO:</p> <p><a href="https://zenodo.org/record/7324246">Refined heat pump design and results of final testing</a></p> <p><a href="https://zenodo.org/record/7285499">Critical review of heat pump prototype operation and required modications</a></p> <p><a href="https://zenodo.org/record/6538833">Performance investigation of an ejector-assisted transcritical CO2 heat pump with brazed plate tri-partite gas cooler for space heating and hot water production</a></p> <p><a href="https://zenodo.org/record/6405324">Experimental performance evaluation of supercritical CO2 in brazed plate heat exchangers of the tri-partite gas cooler</a></p> <p> </p>
Simulation results of advanced control for tri-generation heat pumps
<p>The data of this dataset comes from simulations performed in the software TRNSYS. The simulations were performed for the study case of a multi-family building situated in the climate of Tarragona, Spain, where the HVAC systems comprise a centralized dual source heat pump system. </p> <p>The simulations were done for 3 representative weeks selected for different seasons (winter, spring, summer). Each time, the simulation is performed twice: once with a standard reference control, and a second time with the advanced energy management system (AEMS) in control, programmed in GAMS and coupled with the TRNSYS simulation. Hence there are 6 tests in total, one per Excel sheet in the dataset file. The description of the columns is shown in the following table:</p> <table> <tbody> <tr> <td>Name</td> <td>Unit</td> <td>Description</td> </tr> <tr> <td>Tamb</td> <td>ºC</td> <td>Ambient outdoor temperature</td> </tr> <tr> <td>Irr</td> <td>kJ/h.m2</td> <td>Solar irradiation horizontal</td> </tr> <tr> <td>Troom</td> <td>ºC</td> <td>Room temperature</td> </tr> <tr> <td>Troom_set</td> <td>ºC</td> <td>Room set-point temperature</td> </tr> <tr> <td>Pel_FCU</td> <td>kW</td> <td>Electrical power consumption of the FCU</td> </tr> <tr> <td>Qth_cool_FCU</td> <td>kW</td> <td>Thermal cooling power of the FCU</td> </tr> <tr> <td>Qth_heat_RadFl</td> <td>kW</td> <td>Thermal heating power of the radiant floor</td> </tr> <tr> <td>TDHW_up</td> <td>ºC</td> <td>Temperature at the top of the DHW tank</td> </tr> <tr> <td>TDHW_lo</td> <td>ºC</td> <td>Temperature at the bottom of the DHW tank</td> </tr> <tr> <td>TSHC_up</td> <td>ºC</td> <td>Temperature at the top of the SHC tank</td> </tr> <tr> <td>TSHC_lo</td> <td>ºC</td> <td>Temperature at the bottom of the SHC tank</td> </tr> <tr> <td>Pel_HH_kW</td> <td>kW</td> <td>Electrical power consumption of the appliances</td> </tr> <tr> <td>Pel_PV_kW</td> <td>kW</td> <td>Electrical power generation of the PV</td> </tr> <tr> <td>Pel_HVAC_kW</td> <td>kW</td> <td>Electrical power consumption from the HVAC incl. HP</td> </tr> <tr> <td>Pel_Grid_kW</td> <td>kW</td> <td>Electrical exchange with the grid</td> </tr> <tr> <td>Pel_Bat_kW</td> <td>kW</td> <td>Charging/discharging power of the battery</td> </tr> <tr> <td>SOC_Bat</td> <td>%</td> <td>State of charge of the battery</td> </tr> <tr> <td>Qth_SH_kW</td> <td>kW</td> <td>Thermal heating power produced by the HP for space heating</td> </tr> <tr> <td>Qth_SC_kW</td> <td>kW</td> <td>Thermal cooling power produced by the HP for space cooling</td> </tr> <tr> <td>Qth_DHW_kW</td> <td>kW</td> <td>Thermal heating power produced by the HP for DHW</td> </tr> <tr> <td>Pel_HP_kW</td> <td>kW</td> <td>Electrical consumption of heat pump</td> </tr> </tbody> </table> <p>These results were extensively described in the deliverable D6.5 of the TRI-HP project. </p>
Table 2. Results of organoleptic observation's ointment subfraction 10% Meniran leaves
<p> Table 2. Results of organoleptic observations ointment subfraction 10% Meniran leaves</p>
Virtual NGS data used in the paper "Optimal k-mer values for good-quality triploid genome assemblies" and its assembly results
<p>Despite technological advancements, whole-genome sequencing remains technically challenging for organisms with higher-ploidy genomes. Therefore, the use of short-read sequencing platforms for this purpose has been attempted, but the conditions that result in poor-quality genomes have not been elucidated. Therefore, in the present study, simulated sequences mimicking the accumulation of insertion/deletion mutations were created to clarify the permissible differences between homologous chromosomes and the k-mer sizes for good-quality genome assembly from short-read sequencing data for triploid species. The results illustrated that a narrow range of k-mers permits the generation of high-quality assemblies for any level of difference between homologous chromosomes. <br> This dataset consists of the virtual haploid genome (O.fasta), triploid genome data (reference_sequense), NGS read data (NGS_reads), and assembly results (all_contigs) created in this study.<br> </p>
Tables and Data for "Synthesis of Satellite and Surface Measurements, Model Results, and FRAPPÉ Study Findings to Assess the Impacts of Oil and Gas Emissions Reductions on Maximum Ozone in the Denver Metro and Northern Front Range Region in Colorado"
<p>These are data sets and tables used in the paper "Synthesis of Satellite and Surface Measurements, Model Results, and FRAPPÉ Study Findings to Assess the Impacts of Oil and Gas Emissions Reductions on Maximum Ozone in the Denver Metro and Northern Front Range Region in Colorado" to be submitted to Earth and Space Science. The monitor site 2016 and 2017 counts files have gridded HYSPLIT back trajectory counts for the 4 highest ozone concentration days at each site, as described in the manuscript.</p>
Results: Modeling the impact of the Omicron infection wave in Germany
<pre>Results: Modeling the impact of the Omicron infection wave in Germany This repository contains results of a modeling study regarding the spread of SARS-CoV-2 VOC "Omicron" in Germany. ## Columns and values | column name | type | description EN | description DE | | -- | -- | -- | -- | | `infectious_period_both` | int | Mean infectious period (in days) for both variants | Mittlere Infektiositaetsperiode fuer beide Varianten (in Tagen) | | `omicron_latent_period` | int | Mean latent period of VOC Omicron (in days) | Mittlere Latenzzeit der VOC Omikron (in Tagen) | | `booster_reach` | str | Reach of the booster campaign | Reichweite der Auffrischkampagne | | `booster_VE` | str | Vaccine efficacy of the booster vaccination | Impfeffektivitaet der Auffrischimpfung | | `contact_reduction_scenario_id` | int | ID of the contact reduction scenario | ID des Kontaktreduktionsszenarios | | `contact_reduction_strength` | float | prefactor with which the contact modulation f(t) is multiplied | Vorfaktor, mit der die Kontaktmodulation f(t) waehrend der Kontaktreduktionsperiode skaliert wird | | `contact_reduction_start` | date (ISO 8601) | Date when contact reduction begins | Beginn der Kontaktreduktion | | `contact_reduction_end` | date (ISO 8601) | Date when contact reduction ends | Ende der Kontaktreduktion | | `relative_risk_hospitalization` | float | Relative risk (RR) of hospitalization after infection with Omicron as compared to infection with Delta | Relatives Risiko (RR) der Hospitalisierung nach Infektion mit Omicron gegenueber Infektion mit Delta | | `relative_risk_icu` | float | Relative risk (RR) of ICU admission after infection with Omicron as compared to infection with Delta | Relatives Risiko (RR) der Intensivpflichtigkeit nach Infektion mit Omicron gegenueber Infektion mit Delta | | `value_type` | str | Wich value is shown in the `value` column | Art des Wertes in der Spalte `value` | | `date` | date (ISO 8601) | Date associated with the modeling result given in column `value` | Datum assoziiert mit dem Modellergebnis des Wertes in der Spalte `value` | | `value` | int | Model result (rounded to nearest integer) | Modellergebnis (gerundet auf ganze Zahl) | Additional columns regarding combinations of plausible scenarios (rounded to nearest integer) and 180 stochastic simulations per parameter combination: | column name | type | description EN | description DE | | -- | -- | -- | -- | | `95_PI_lower` | int | 95% PI lower bound (rounded to nearest integer) | Untere Schranke des 95% PIs (gerundet auf ganze Zahl) | | `50_PI_lower` | int | 50% PI lower bound (rounded to nearest integer) | Untere Schranke des 50% PIs (gerundet auf ganze Zahl) | | `median` | int | median (rounded to nearest integer) | Median (gerundet auf ganze Zahl) | | `50_PI_upper` | int | 50% PI upper bound (rounded to nearest integer) | Obere Schranke des 50% PIs (gerundet auf ganze Zahl) | | `95_PI_upper` | int | 95% PI upper bound (rounded to nearest integer) | Obere Schranke des 95% PIs (gerundet auf ganze Zahl) | ### Values: `booster_reach` | value | description EN | description DE | | -- | -- | -- | | `md` | medium booster campaign reach (80% of those that received full vaccination in 2021 receive booster vaccination) | Medium, 80% derjenigen, die in 2021 vollstaendig geimpft wurden, erhalten eine Auffrischimpfung | | `hi` | high booster campaign reach (100% of those that received full vaccination in 2021 receive booster vaccination) | Hoch, 100% derjenigen, die in 2021 vollstaendig geimpft wurden, erhalten eine Auffrischimpfung | | `hi-and-90perc-2dose` | 100% receive booster vaccination and vaccine uptake of first immunization suddenly increases to 90% in Jan 2022 | 100% erhalten Auffrischimpfung und Impfquote der Erstimmunisierung erreicht schnell 90% im Januar 2022 | ### Values: `booster_VE` | value | description EN | description DE | | -- | -- | -- | | `lo` | low booster vaccine efficacy (assumption: booster protects as well against infection as 2nd dose) | Niedrige Impfeffektivitaet (Auffr. schuetzt genauso gut vor Infektion wie 2 Dosen) | | `hi` | high booster vaccine efficacy (assumption: booster protects as well against infection as against symptomatic disease) | Hohe Impfeffektivitaet (Auffr. schuetzt genauso gut vor Infektion wie vor symptomatischer Erkrankung) | ### Values: `value_type` | value | description EN | description DE | | -- | -- | -- | | `inc` | incidence (absolute number of new reported cases per day) | Inzidenz (Zahl der gemeldeten Neuinfektion an diesem Tag, absolut) | | `hsp` | hospitalization incidence (absolute number of new hospital admissions per day) | Hospitalisierungsinzidenz (Zahl der gemeldeten Neuhospitalisierungen an diesem Tag, absolut) | | `icu` | total number of patients in ICUs | Gesamtzahl der intensivpflichtigen Patient:innen | ## License Licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).</pre>
WES cropbioBonn WGGC CN Twist Exome vcf results
<p>Whole Exome Sequencing Data Analysis with <a href="https://github.com/tgstoecker/WES_WGGC_2021_AG_Schoof">https://github.com/tgstoecker/WES_WGGC_2021_AG_Schoof</a></p> <p>HG001/NA12878 Twist Exome, NovaSeq 6000</p>
WES cropbioBonn WGGC CN 75M vcf results
<p>Whole Exome Sequencing Data Analysis with <a href="https://github.com/tgstoecker/WES_WGGC_2021_AG_Schoof">https://github.com/tgstoecker/WES_WGGC_2021_AG_Schoof</a></p> <p>HG001/NA12878 Agilent v6 2x101bp PE, NovaSeq 6000, 75M reads</p>
Data from: Seasonality and growth in tropical freshwater ectotherm vertebrates: results from one-year experimentation in the African grey bichir, giraffe catfish, and the West African mud turtle
<p>Growth in ectotherm vertebrates is strongly rhythmed by seasonal variation in environmental parameters. To track the seasonal variation in ancient times in a continental and tropical context, we aim to develop a method based on the use of the growth rate of fossil ectotherm vertebrates (actinopterygians and chelonians) influenced by seasonal environmental fluctuations they experienced in their lifetime. However, the impact of environmental parameters on growth, positive or negative, and its intensity, depends on the taxa considered and data are scarce for tropical species. For one year, an experiment was conducted to better understand the effect of seasonal variation in environmental parameters (food abundance, temperature, and photoperiod) on the somatic growth rate of three species of tropical freshwater ectotherm vertebrates: the fishes <em>Polypterus senegalus</em> and <em>Auchenoglanis occidentalis</em> and the turtle <em>Pelusios castaneus</em>. Mimicking seasonal shifts expected to be experienced by the animals in the wild, the experiment highlighted the preponderant effect of food abundance on the growth rate of those three species. Water temperature variation had a significant effect on the growth rate of <em>Po. senegalus</em> and <em>Pe. castaneus</em>. Moreover, the photoperiod demonstrated no significant effect on the growth of the three species. The duration of application of starvation or cool water conditions, ranging from 1 to 3 months, did not affect the growth rate of the animals. However, <em>Pe. castaneus</em> showed a temporary sensitivity to the return of ad libitum feeding or of warm water, after a period of starvation or cool water, by a period of compensatory growth. Finally, this experiment revealed, in the three species, fluctuations in the growth rate under controlled and constant conditions. This variation, similar to the variation in precipitation and temperature observed in their native environment, could be linked to a strong effect of an internal rhythm controlling somatic growth rate.</p>
ScienceDex guides
Understand access before you commit
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.