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36 results for “wet season”

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edi52/100

Examination of protein-like fluorophores in chromophoric dissolved organic matter (CDOM) in a wetland and coastal environment for the wet and dry seasons of the years 2002 and 2003 (FCE)

Water samples are collected at the end of the dry and the wet season from all LTER sites and stored on ice until return to the lab. They are pre-filtered through pre-combusted GF/F filters and ultrafiltered and concentrated with a Pellicon 2 Mini tangential flow ultrafiltration system.Concentrated samples were then analyzed using fluorescence and SEC-HPLC. This CDOM optical study revealed the presence of two classes of compounds associated with the protein-like peak (peak T; excitation/emission (Ex/Em) maxima at around 280 nm/325 nm), which have very different chemical structures and ecological roles. In addition to proteins, we propose phenolic compounds as possible origins of peak T in coastal and wetland environments. In this study, natural water samples were obtained from subtropical rivers and estuarine environments within the Florida Coastal Everglades (FCE) ecosystem. The samples were ultra-filtered and excitation-emission fluorescence matrices (EEMs) were obtained. The EEMs showed the presence of four peaks with Ex/Em maxima at around 280 nm/325 nm (T), less than 260 nm/460 nm (A), 300 nm/412nm (M), and 350 nm/470 nm (C). To better understand the nature of peak T, the components originating this peak were separated using size exclusion chromatography (SEC) and detected by fluorescence emission at Ex/Em = 280 nm/325 nm. The elution curves revealed the presence of two elution peaks at a molecular weight of greater than 50K (void volume; T1) and around 7.6K (T2). This result suggested the need of cautious interpretation in the use of peak T as a proxy for the detection of proteinaceous materials in wetland and estuarine environments, since significant amounts of potentially interfering phenolic compounds are leached from senescent biomass in wetland and coastal ecosystems. As such EEM spectra of gallic acid an important component of hydrolysable tannins, and condensed tannins extracted from red mangroves (Rhizophora mangle) showed the presence of a peak maxima

openCC (other)Feb 2024View details →
zenodo44/100

Wet season standardised maximum land surface temperature of the Greater Paramaribo Region 2016-2018

<p>This map shows the maximum land surface temperature for the wet season of the Greater Paramaribo Region, Suriname, 2016-2018. The satellite images stem from the Landsat 8 OLI/TIRS (Operational Landsat Imager/Thermal Infrared Sensor) satellite and were obtained from the United States Geological Survey (USGS). A detailed description is provided in the metadata document.</p><p><i>Tom Remijn, Lisa Best, Rudi van Kanten, Nina Schwarz , Louise Willemen, 2020, Wet season standardised maximum land surface temperature of the Greater Paramaribo Region 2016-2018, product of 'Naar een groen en leefbaarder Paramaribo' by Tropenbos Suriname and University of Twente-ITC.</i> DOI: 10.5281/zenodo.7696837,<i> licensed under the&nbsp;</i><a href="https://creativecommons.org/licenses/by-nc-sa/4.0/"><i>Creative Commons License CC BY-NC-SA 4.0</i></a><i>.</i></p>

opencc-by-4.0Jun 2022View details →
zenodo44/100

Data used for doi.org/10.1029/2012JD018338 : Baars et al, 2012: Aerosol profiling with lidar in the Amazon Basin during the wet and dry season

<p><span>This is the data whoch ahs been used for the publication:</span></p> <p><span><span>Baars, H.</span></span><span>, <span>A. Ansmann</span>, <span>D. Althausen</span>, <span>R. Engelmann</span>, <span>B. Heese</span>, <span>D. M&uuml;ller</span>, <span>P. Artaxo</span>, <span>M. Paixao</span>, <span>T. Pauliquevis</span>, and <span>R. Souza</span> (<span>2012</span>), <span>Aerosol profiling with lidar in the Amazon Basin during the wet and dry season</span>, <em>J. Geophys. Res.</em>, <span>117</span>, D21201, doi:<a title="Link to external resource: 10.1029/2012JD018338" href="https://doi.org/10.1029/2012JD018338" target="_blank" rel="noopener">10.1029/2012JD018338</a>.</span></p> <p><span>For each of the Figures in the Publication the underlaying data is provided in a respective folder.</span></p> <p><span>The raw data (i.e,. the analyzed lidar data for several case during the one-year campaign in 2008) is provided separately.</span></p> <p><span>As the time of data creation is more than 10 years ago, the data description does not comply to current standards. Thus, in case of any questions, please contact the first author.</span></p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-sa-4.0Jun 2024View details →
edi44/100

Odonata Assemblage in Metropolitan Area of Puerto Rico (2018-2019, Wet and Dry Season)

Data comes from a project that aimed to identify the effects of urbanization on stream habitat quality and associated odonate assemblages in Puerto Rico. In this study, 16 streams along a rural to urban gradient in the San Juan Metropolitan Area were sampled. Each stream was characterized using the Stream Visual Assessment Protocol (SVAP) for Puerto Rico and by analyzing their surrounding land cover. A 100-m segment of each stream was surveyed to assess adult odonate richness and abundance during the rainy and dry seasons. Adults were identified visually, and their abundance was recorded. Data is a product of: Maldonado-Benítez, Mariani-Ríos & Ramírez (2022): Effects of urbanization on Odonata assemblages in tropical island streams in San Juan, Puerto Rico. International Journal of Odonatology, 25, 31–42 doi:10.48156/1388.2022.1917163

openCC (other)Aug 2022View details →
zenodo40/100

UAV outputs and associated field measurement of the herbaceous of a Sahelian Rangeland during the wet season in Northern Senegal

<p>This dataset contains UAV outputs (mosaic and digital surface model) and field measurement of vegetation (shapefile) that were made in northern Senegal.</p> <p><strong>Site gradient measurement</strong></p> <p>The data was collected on a plot of the Centre of Zootechnical Researches of Dahra / ISRA during 2020 rainy season (from July 19, 2020, to September 17, 2020). The average rainfall for the period 1981-2018 was ranging from 221 mm.y-1 to 468 mm. y-1. The vegetation in the field is a herbaceous savannah where <em>Vachellia tortilis</em> and <em>Balanites aegyptiaca</em> are the dominant trees.</p> <p><strong>Field measurement.</strong></p> <p><strong>UAV flight plan</strong></p> <p>We used two different drones&nbsp;: Bluegrass and Anafi of Parrot. The Bluegrass of Parrot was used from 19/07/2020 to 04/08/2020. The Bluegrass flights were done at 60 meters of altitude, with a speed of 2 m s<sup>-1</sup>, and 90% of overlap rate between images, on a double grid of 100&nbsp;m&nbsp;x&nbsp;100&nbsp;m. Anafi of Parrot was used for the rest of the season. The Anafi flights were done at 60 meters of altitude, with a speed of 2 m s<sup>-1</sup>, and 90% of overlap rate between images, on a double grid of 100&nbsp;m&nbsp;x&nbsp;100&nbsp;m and the angle of inclination of the camera fixed at 80&deg;. The flights have been done with PIX4D capture application at earlier in the day every two days. A total of 61 drone flights were conducted over the rainy season.</p> <p><strong>Herbaceous Biomass</strong></p> <p>Every two days , after drone flight, herbaceous measurements were carried out, in three plots of 1 m&sup2; distributed respectively under the crown of a tree, at the edge of the crown, and at a distance from the edge of the crown equal to the height of the tree. These plots were rotated among the trees in the field until all four azimuths of trees were covered.We collected Fresh mass and dry mass.</p> <p><strong>Image analysis.</strong></p> <p>The drone images taken for each day of collect, were analyzed in the software PIX4DMapper (Pix4D SA, Lausanne, Switzerland) by the Structure from Motion method. We used precisely the 3D mapping option of the software. Then for each flight we computed and exported an orthophotograph and a digital surface model.</p> <p><strong>Data organization</strong></p> <p>The data contains :</p> <ul> <li>DSM that contains the surface model in tiff</li> <li>Mosaic that the orthomosaic in tiff.</li> <li>Data that contains the shapefile with the position and table with the field measurements</li> </ul>

opencc-by-4.0Apr 2022View details →
zenodo40/100

Fig. 1 in Avian Communities Of A Mixed Mopane-Acacia Savanna In The Cuvelai Drainage System, North-Central Namibia, During The Dry And Wet Season

Fig. 1. Seasonal changes in percentage contribution of main feeding guilds in avian assemblage in mixed Mopane-Acacia savanna (F — frugivores, G — granivores, I — insectivores, O — other guilds).

opencc-by-4.0Jul 2014View details →
edi40/100

National Atmospheric Deposition Program (NADP): Seasonal Wet Depositions Totals (kg/ha), 1992 - Present

The National Atmospheric Deposition Program/National Trends Network (NADP/NTN) is a nationwide network of precipitation monitoring sites. The network is a cooperative effort between many different groups, including the State Agricultural Experiment Stations, U.S. Geological Survey, U.S. Department of Agriculture, and numerous other governmental and private entities. For a full list of contributors, see the collaborating agencies page. The NADP/NTN has grown from 22 stations at the end of 1978, our first year, to over 250 sites spanning the continental United States, Alaska, and Puerto Rico, and the Virgin Islands.

openOpenMar 2009View details →
zenodo36/100

Data for: Love thy neighbour: feral buffalo show greater space use, resource overlap and encounters during the wet season in the Northern Territory

<p>The code, data, and R objects in this repository accompany a paper titled 'Love thy neighbour: feral buffalo show greater space use, resource overlap and encounters during the wet season in the Northern Territory'.</p> <p>In this paper we used spatially explicit movement models to understand buffalo movement and social behaviour to provide decision support to wildlife managers. We used continuous time movement models to produce autocorrelated kernel density estimates of buffalo home ranges and encounter space from 126,567 locations from 17 buffalo GPS tracked from November 2018 to April 2019. We compared the movement, space use and social behaviour of buffalo between the wet and dry season of the Djelk area, when resource availability is vastly different in the wetland areas of the Northern Territory.&nbsp;Results from these models can be used by land holders, traditional owners, and wildlife managers to make evidence-based decisions to optimize buffalo management in respect to disease risk, sustainable harvest, and damage to environmental and cultural assets.</p> <p>The R Markdown, and accompanying data detail the modelling process from data pre-processing, fitting home ranges, comparing home range overalp and estimating social encounter area for the buffalo over three seasonal periods. Estimating home ranges can be computationally taxing and re-creating home range estimates for each buffalo can take several hours depending on the computing power of the user so intermediate outputs have also been included.&nbsp;</p>

opencc-by-4.0May 2024View details →
dryad36/100

Local timing of rainfall predicts the timing of moult within a single locality and the progress of moult among localities that vary in the onset of the wet season in a year-round breeding tropical songbird

<p>Rainfall seasonality is likely an important cue for timing key annual cycle events like moult in birds living in seasonally arid environments, but its precise effect is difficult to establish because seasonal rainfall may affect other covarying annual events such as breeding in the same way. In central Nigeria, however, Common Bulbuls <em>Pycnonotus barbatus</em> moult in the wet season but only show weak breeding seasonality. This suggests that moult is more sensitive to rainfall than breeding, but a similar outcome is possible if moult is simply periodic. We tested the relationship between rainfall and moult in Common Bulbuls at a single location over 18 years: on average moult started 5th May (± 41 days: 25th March–15th June), being on average later than the onset of the rains which is usually mid-April. The likelihood of finding a moulting Common bulbul was best predicted by rainfall 9–15 weeks before moult was scored. We then tested the generality of this across populations: the progress of moult should, therefore, correlate with the average timing of the wet season along a spatial environmental gradient where the rains start at different times each year south-to-north of Nigeria. To test this, we modelled moult progress just before the rains across 15 localities 6°–13° N as a function of the onset of the wet season among localities. As predicted, moult progressed further in localities with earlier wet seasons, confirming that the onset of moult is timed to the onset of the wet season in each locality despite weak breeding seasonality in the Common Bulbul. This strategy may evolve to maintain optimal annual cycle routine in seasonal environments where breeding is prone to unpredictable local perturbations like nest predation. It may, however, be less obvious in temperate systems where all annual cycle stages are seasonally constrained, but it may help with explaining the high frequency of breeding–moult overlaps in tropical birds.</p>

opencc-zeroOct 2022View details →
dryad36/100

Monsoonal wet season influences the migration tendency of a catadromous fish (barramundi Lates calcarifer)

<ol> <li>Many animals exhibit partial migration, which occurs when populations contain coexisting contingents of migratory and resident individuals. This individual-level variation in migration behaviour may drive differences in growth, age at maturity, and survival. Therefore, partial migration is widely considered to play a key role in shaping population demography.</li> <li>Otolith chemistry and microstructural analysis were used to identify the environmental and individual-specific factors that influence migratory behaviour in the facultatively catadromous barramundi (<em>Lates calcarifer</em>) at two distinct life history stages: firstly, as juveniles migrating upstream into fresh water; and secondly, as adults or sub-adults returning to the estuarine/marine spawning habitat.</li> <li>Monsoonal climate played an important role in determining the migration propensity of juveniles: individuals born in the driest year examined (weak monsoon) were more than twice as likely to undergo migration to freshwater than those born in the wettest (strong monsoon) year. In contrast, the ontogenetic timing of return migrations to the estuary by adults and sub-adults was highly variable and not strongly associated with the environmental parameters examined.</li> <li>We propose that scarce resources within saline natal habitats during lower rainfall years may provide an ecological incentive for juveniles to migrate upstream, whereas more abundant resources in higher rainfall years may promote resident life histories within estuaries.</li> <li>We conclude that inter-annual climatic variation, here evidenced by monsoonal strength, likely plays an important role in driving the persistence of diversified life-histories within wild barramundi populations. </li> </ol>

opencc-zeroOct 2023View details →
dryad36/100

Monsoonal wet season influences the migration tendency of a catadromous fish (barramundi Lates calcarifer)

Open the record for dataset details and reuse information.

publicOct 2023View details →
dryad36/100

Local timing of rainfall predicts the timing of moult within a single locality and the progress of moult among localities that vary in the onset of the wet season in a year-round breeding tropical songbird

Open the record for dataset details and reuse information.

publicOct 2022View details →
dryad32/100

Data from: Tracing the origin of the early wet-season Anopheles coluzzii in the Sahel

In arid environments the source of the malaria mosquito populations that re-establish soon after first rains remains a puzzle and alternative explanations have been proposed. Using genetic data, we evaluated whether the early Rainy Season (RS) population of Anopheles coluzzii is descended from the preceding late-RS generation at the same locality, consistent with dry season (DS) dormancy (aestivation), or from migrants from distant locations. Distinct predictions derived from these two hypotheses were assessed, based on variation in 738 SNPs in eleven A. coluzzii samples, including seven samples spanning two years in a Sahelian village. As predicted by the 'local origin under aestivation hypothesis', temporal samples from the late RS and those collected after the first rain of the following RS were clustered together, whilst larger genetic distances were found among samples spanning the RS. Likewise, multi-locus genotype composition of samples from the end of the RS were similar across samples until the following RS, unlike samples that spanned the RS. Consistent with reproductive arrest during the DS, no genetic drift was detected between samples taken over that period, despite encompassing extreme population minima, whereas it was detected between samples spanning the RS. Accordingly, the variance in allele frequency increased with time over the RS, but not over the DS. However, not all the results agreed with aestivation. Large genetic distances separated samples taken a year apart, and during the first year, within-sample genetic diversity declined and increased back during the late RS, suggesting a bottleneck followed by migration. The decline of genetic diversity followed a mass distribution of insecticide treated nets was accompanied by a reduced mosquito density and a rise in the mutation conferring resistance to pyrethroids, indicating a bottleneck due to insecticidal selection. Overall, our results support aestivation in A. coluzzii during the DS that is accompanied by long distance migration in the late-RS.

opencc-zeroDec 2016View details →
zenodo32/100

Data and script for "Characterizing Wet Season Precipitation in the Central Amazon Using a Mesoscale Convective System Tracking Algorithm"

<p>This is a placeholder for Data and script for "<strong>Characterizing Wet Season Precipitation in the Central Amazon Using a Mesoscale Convective System Tracking Algorithm</strong>" submitted to JGR-atmosphere.</p>

opencc-by-4.0Aug 2024View details →
zenodo32/100

FIGURE 7 in Water Quality and Wet Season Diatom Assemblage Characteristics from the Tamiami Trail Pilot Swales Sites (Everglades National Park, Florida, USA)

FIGURE 7: Non-metric Multidimensional Scaling ordination plot for diatom assemblage similarity among transect sites. Bray-Curtis similarity is the distance metric. Two dimensional stress = 0.15.

opennotspecifiedAug 2013View details →
zenodo32/100

FIGURE 2 in Water Quality and Wet Season Diatom Assemblage Characteristics from the Tamiami Trail Pilot Swales Sites (Everglades National Park, Florida, USA)

FIGURE 2: Stylized layout of a typical culvert site showing Tamiami Trail, the culvert and associated scourpool, the vegetation halo, transitional area, and locations of transect sampling sites and ISCO autosampler.

opennotspecifiedAug 2013View details →
zenodo32/100

FIGURE 4 in Water Quality and Wet Season Diatom Assemblage Characteristics from the Tamiami Trail Pilot Swales Sites (Everglades National Park, Florida, USA)

FIGURE 4: Example of water column nutrient concentration from transect station water grab samples at culvert C47. 4a: Total nitrogen concentrations. 4b: Total phosphorus concentrations. Site names are represented by transect and location initials. For example NC is North transect, Central location.

opennotspecifiedAug 2013View details →
zenodo32/100

FIGURE 6 in Water Quality and Wet Season Diatom Assemblage Characteristics from the Tamiami Trail Pilot Swales Sites (Everglades National Park, Florida, USA)

FIGURE 6: 6a: Mean taxonomic richness (r) by transect. Error bars denote 95% confidence interval. 6b: Mean Shannon Index (H') by transect. Error bars denote 95% confidence interval. Letters denote pairwise differences indicated by ANOVA.

opennotspecifiedAug 2013View details →
zenodo32/100

FIGURE 1 in Water Quality and Wet Season Diatom Assemblage Characteristics from the Tamiami Trail Pilot Swales Sites (Everglades National Park, Florida, USA)

FIGURE 1: Map of South Florida highlighting the Florida Everglades and the northern boundary of Everglades National Park, showing the location of the Tamiami pilot spreader swales culvert sites.

opennotspecifiedAug 2013View details →
zenodo32/100

FIGURE 3 in Water Quality and Wet Season Diatom Assemblage Characteristics from the Tamiami Trail Pilot Swales Sites (Everglades National Park, Florida, USA)

FIGURE 3: Trends in water column nutrient concentration and Tamiami canal stage during the study period from October 2009 through April 2010. 3a: Trends in total nitrogen concentration (µmol · L-1) at ISCO autosampler sites. 3b: Trends in total phosphorus concentration (µmol · L-1) at ISCO autosampler sites. 3c: Trends in Tamiami canal stage between S333 and S334 water control structures (South Florida Water Management District Data).

opennotspecifiedAug 2013View details →

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allen-brain-atlas
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dandi-nwb
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