BUSCADOR RECOLECTA

Movies correspond to the ablation experiment shown in Fig 5. The membranes on the apical side of FCs are visualized with Resille-GFP. A cell bond between 2 control FCs is ablated. GFP fluorescent is lost in the middle of the ablated bond upon laser ablation. The movie continues 10 s after the cut and shows displacement of the vertexes. Movie length and frame rate are as described for Movie S11. Scale bar, 5 μm., Peer reviewed

En este proyecto se ha trabajado para la investigación del efecto CISS en capas de radicales orgánicos. La dataset proporcionada permite poder graficar todos los espectros y otros gráficos que aparacen tanto en el manuscrito princiapl como en la información suplementaria., With funding from the Spanish government through the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000917-S)., Peer reviewed

Movies correspond to the ablation experiment shown in Fig 5. The membranes on the basal side of FCs are visualized with Resille-GFP. A cell bond between 2 control FCs is ablated. GFP fluorescent is lost in the middle of the ablated bond upon laser ablation. The movie continues 10 s after the cut and shows displacement of the vertexes. Images are taken every 0.5 s. Scale bar, 5 μm., Peer reviewed

[ES] El conjunto de datos está dividido en tres subcarpetas, dentro de las cuales los datos se encuentran agrupados por especies: Eggs: Proporciona más de 900 imágenes en formato RAW en el rango visual del espectro visible de puestas completas sobre fondo negro, correspondientes a 14 especies distintas. Nests: Proporciona más de 800 imágenes de nidos de 6 especies distintas, tomadas en su entorno desde 1 metro de distancia y a 70 cm de altura. En este segundo conjunto de imágenes, se incluyen imágenes de los nidos tanto en el rango visible como en ultravioleta cercano. Incubating Behavior: Proporciona más de 950,000 imágenes en formato jpg correspondientes a secuencias de vigilancia del comportamiento de incubación de 5 especies distintas, junto con información de las condiciones ambientales. [EN] The dataset is divided into three subfolders, within which the data is grouped by species: Eggs: Provides over 900 images in RAW format within the visible spectrum of complete clutches on a black background, corresponding to 14 different species. Nests: Provides over 800 images of nests from 6 different species, taken in their environment from 1 meter away and at a height of 70 cm. This set includes images of the nests in both the visible range and near-ultraviolet. Incubating Behavior: Provides over 950,000 jpg images corresponding to surveillance sequences of incubation behavior from 5 different species, along with information on environmental conditions., [ES] Este conjunto de datos, generado en el marco del proyecto CAMNID: CGL2017-83518-P, Plan Nacional I+D+i, contiene información visual sobre huevos, nidos y comportamiento durante la incubación de diferentes especies de aves de litoral (shorebirds). Permite la realización de análisis de coloración y moteado, entre otros, para las especies en estudio. Asimismo, se proporcionan secuencias de imágenes de monitorización de diversos nidos de estas especies a lo largo de 3 horas (entre las 12:00 y las 15:00) junto con las condiciones ambientales durante la vigilancia. Esto permite la realización de estudios de los comportamientos de estas aves durante la incubación, abriendo la posibilidad de estudiar diversos mecanismos de mitigación de estrés térmico o las alternancias parentales macho/hembra durante la incubación en función de las condiciones ambientales, [EN] This dataset, generated within the framework of the CAMNID project: CGL2017-83518-P, Plan Nacional I+D+i, contains visual information on eggs, nests, and incubation behavior of various shorebird species. It enables color and spotting pattern analyses, among other studies, for the species included. Additionally, it provides image sequences monitoring various nests of these species over a 3-hour period (from 12:00 to 15:00) along with the environmental conditions during the surveillance. This allows for studies of the birds' behavior during incubation, opening the possibility to study mechanisms of thermal stress mitigation and male/female parental alternation during incubation based on environmental conditions., CAMNID PROJECT: Grant: CGL2017-83518-P, Plan Nacional I+D+i: EFECTOS DE LAS INVASIONES GEOLOGICAS DE ORIGEN ANTROPICO SOBRE LAS ESTRATEGIAS DE CAMUFLAJE DE NIDOS EN EL CHORLITEJO PATINEGRO CHARADRIUS ALEXANDRINUS, The dataset is comprissed of three folders. Eggs, Nests, and BehavioralMonitoring. ** Folder: Eggs: Photographs of shorebird eggs from a zenital view in raw format. - INFORMATION_TABLE.xlsx: Excel file with information about each picture in the Eggs folder subset. Image name can be used as unique identifier. - Folders corresponding to eggs of 14 different species. Species name corresponding to folder name. - Inside each folder, a single RAW format image file for each egg is provided ** Folder: Nests: Zenital pictures of shorebirds nests in natural environments both in the Vis and UV wavelength ranges. - INFORMATION_TABLE.xlsx: Excel file with information about each picture in the Nests folder subset. Image name can be used as unique identifier. - Folders corresponding to 6 different species. Species name corresponding to folder name. - Inside each folder, two images per nest are provided. One for the visible wavelength range ({ImageName}_VIS.ARW) and another one for the UV range ({ImageName}_UV.ARW) **Folder: BehavioralMonitoring: Pictures showing the incubating activity of shorebird species. Additionally, environmental conditions are also provided. - README.txt: Readme file providing the description of each folder in the dataset - Folders corresponding to 5 shorebirds species being monitored. - Inside each species folder: ---subfolder: DATE_OF_OBSERVATION: | |---subfolder: DATALOGGERCODE (DTXX (XX from 0 to 9)) | |____FRAME_XXX_STD.jpg: XXXth Picture taken under normal conditions | |____YYY_ACT.jpg: YYYth Picture corresponding to a special activitity condition | |____DATA_LOGGER.txt: csv file containing enviromental conditions during this experiment. Updated every 100s | |____DTXX.gpx: GPS position of this observation (gpx standard format) | |____DTXX_GPS.txt: GPS position for this observation in txt format (the gpx file is not always available), Peer reviewed

[Methods] The study was based on a survey of 79 lakes from mid-July to the end of August 2000 across the entire range of the Pyrenees. During this period, summer stratification occurs in most lakes, and phytoplankton communities can be assumed to be in a similar successional stage. The lakes were selected to cover the main bedrock, elevation, and geographical variation within the range. Only one or, exceptionally, a few lakes were sampled in cirque basins that included many close lakes to reduce potential spatial covariance because of the proximity and also to facilitate covering the entire massif with the available resources. The environmental variables considered (54) were grouped into five categories to evaluate the partial and hierarchical influence on the phytoplankton groups. Water chemistry (15 variables) included nutrients, major ions, and DOC. The physical environment (12) was characterized by considering morphological, thermal, light, and littoral substrate characteristics. The biotic environment (8) included macrophyte and fish presence (assessed using ancillary information and visual inspection during the survey), the organic content of the top sediment (loss on ignition, LOI), and planktonic components (rotifers, macrozooplankton, and bacterial biomass). The description of the catchment (16) included the catchment area and geological characteristics determined using cartographic information (Spanish and French Geological Maps) and GIS techniques, estimates of precipitation and duration of the ice cover inferred by extrapolation methods, and vegetation categories evaluated during the survey. Finally, the geographic setting (3) was defined by coordinates and altitude. Pigments were used for quantifying the relative dominance of high-rank taxonomic phytoplankton groups. The relationship between chlorophyll and phytoplankton biomass may be highly influenced by light conditions. To facilitate the lake comparison, we standardized pigment sampling by collecting water at an iso-irradiance depth in the deepest part of each lake at 1.5 times the Secchi disk depth. At this depth, between 1 and 10% subsurface irradiance penetrates in summer, usually coinciding with a typical deep chlorophyll maximum (DCM). The DCM results from a phytoplankton growth optimum at a depth balancing nutrient and light availability. In shallow lakes, with >10% surface irradiance reaching the bottom and weak stratification, DCM develops near the lake bottom, as early studies have already observed. Therefore, the sample was taken between 1 and 2 m above the surface sediment in 29 lakes where the Secchi depth reached the sediment surface. Water samples were collected using a polyethylene tube connected to a flask and a manual vacuum pump. A volume between 1.5 and 2 L was filtered using Whatman® GF / F filters (Maidstone, UK), which were wrapped in aluminium foil and kept cold before freezing (-20 0C) within 3-6 hours. The pigments were extracted from frozen filters using a probe sonicator (50 W, 2 min) with 90% acetone. The extract was filtered through Whatman Anodisc filters (0.1 µm) and analysed by HPLC. The HPLC system was equipped with a Waters 600E solvent delivery system, a Waters 717 autosampler set at 4 °C, a C18 column (dimensions: 250 x 4.6 mm, particle size: 5µm; Spherisorb-ODS1, Waters Corporation, Milford, US) and a Waters 996 photodiode array detector. The detector was set at 440 and 660 nm to integrate the carotenoid and phorbin peaks, respectively. The pigments were separated based on modifying the method described by Kraay, Zapata and Veldhuis (1992). After injection of the sample (40 µL), pigments were eluted by a linear gradient from 100% solvent A (0.3 M ammonium acetate in methanol: acetonitrile: MilliQ water, 51:36:13 (v/v/v)) to 75% A and 25% B (ethyl acetate: acetonitrile, 70:30, (v/v)) for 5 min followed by 5 min and 20 min, respectively, of isocratic hold at 75% A and 100% solvent B. The flow rate was 1.2 mL min-1. The solvent composition was returned to initial conditions on a 5-minute gradient, followed by 5 minutes of system equilibration before injection of the following sample. Pigments were identified by comparison with a library of pigment spectra obtained from extracts of pure algae cultures from the Culture Collection of Algae and Protozoa (CCAP, Oban, Scotland, UK). Chl-a, Chl-b, and b,b-carotene standards were obtained from Sigma Chemical Co. Ltd. (UK). The extinction coefficients used for calculations were obtained from the literature (Rowan 1989; Jeffrey, Mantoura & Wright 1997). The contribution of each algal group to phytoplankton biomass was estimated in terms of Chl-a using CHEMTAX (Mackey et al. 1996; Schlüter et al. 2006). The method works by algorithmic iteration and requires a first estimate of the marker pigment to Chl-a molar ratios (initial ratio matrix; H0) appropriate for the algal classes expected in the sample. The matrix of the pigment ratio is varied by a small amount in each iteration, and the class abundance is recalculated. The class sum is checked against the measured total Chl-a. CHEMTAX gives the best fit of contributions of the predefined taxa to total Chl-a. The advantage of this method is that it distinguishes between algal groups with qualitatively identical pigment compositions by differences in pigment ratios. We used between 1 and 4 marker pigments per group, which included chlorophytes, chrysophytes, cryptophytes, diatoms, dinoflagellates, and cyanobacteria. For further details see the related publication., The data file contains the phytoplankton group distribution estimated using pigment-based chemotaxonomy across 82 lakes of the Pyrenees selected to cover the bedrock and elevation gradients., [Description of the data and file structure] The file PGMCHEMTAX-JEcol2023.xlsx contains a first raw with the variable names (19), followed by 79 raws with the data in columns. The variable names are self-descriptive, although we include a more detailed description below. There are no missing values; zeros (0) correspond to values below the detection limit of the method., 1-High mountain lakes are increasingly recognized as sentinel ecosystems of global change. Monitoring phytoplankton changes or reconstructing their composition from sedimentary records can help identify systemic changes in these lakes and their catchments. 2- This study aimed to evaluate the distribution of the major phytoplankton groups in high mountain lakes across environmental gradients and identify tipping points in relative dominance. The phytoplankton groups were estimated using pigment-based chemotaxonomy in 79 lakes in the Pyrenees selected to cover the bedrock and elevation gradients. Fifty-four environment variables were considered, including in-lake and catchment descriptors. 3-Redundancy analyses showed that in-lake descriptors override the explicative capacity of landscape variables. Generalized additive models and multivariate regression trees showed that water hardness, trophic state, and food web descriptors were, in this order, the most influential factors determining phytoplankton group dominance. Calcium concentration of about 200 μeq L-1 defined the threshold between soft waters – with chrysophytes and chlorophytes showing a higher affinity for them – and harder waters that favour diatoms and cyanobacteria. Across the trophic gradient, there was a threshold at ~5 μg L-1 of total phosphorus (TP), chrysophytes being dominant below that TP value and cryptophytes above. The dominance of chlorophytes and cryptophytes increased with the density of macrozooplankton. Chrysophytes were significantly lower and diatoms higher in lakes with fish. 4- Synthesis. The relative abundance of phytoplankton groups in temperate high mountain lakes responds in a nonlinear way to the hardness of the water in the range 20 – 1195 Ca2+ μeq L-1 and the trophic state in the range 0.94 - 19 μg L TP-1. The thresholds across water hardness and trophic state gradients coincide with studies based on other organisms, pointing to a robust typology for mountain lakes that should be considered when selecting global-change sentinel lakes and anticipating abrupt transitions across these thresholds., European Commission, Award: EVK1-CT-1999–00032, EMERGE European Commission, Award: LIFE20 NAT/ES/00347, LIFE RESQUE ALPYR European Commission, Award: BiodivRestor-280, BiodivERsA FISHME Ministerio de Ciencia e Innovación, Award: PID2019-111137GB-C21, ALKALDIA Ministerio de Ciencia e Innovación, Award: RTI2018-096217-B-I00, FUNBIO Organismo Autónomo Parques Nacionales, Award: 2413/2017, BIOOCULT, Peer reviewed

BCs were directly visualized using bright field, related to S8 Fig. Scale bar, 20 μm., Peer reviewed

BC migration in nos;hisYFP and nos>AbiRNAi;hisYFP egg chambers, related to S7 Fig. Scale bar, 20 μm., Peer reviewed

Movies correspond to the ablation experiment shown in Fig 4. NCs membranes are visualized with Resille-GFP. A cell bond between 2 control NCs is ablated. Upon laser ablation, GFP fluorescent is lost in the middle of the ablated bond. The movie continues 10 s after the cut and shows displacement of the vertexes. Images are taken every 0.5 s. Scale bar, 10 μm., Peer reviewed

BC cluster rotation in control (tslGFP; mirrGal4) and EHBP1mCh overexpressing (tslGFP; mirr>EHBP1mCh) egg chambers, related to Fig 3. Scale bar, 10 μm., Peer reviewed

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