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Dataset to paper "The effects of solar radiation on daily and seasonal stem increment of canopy trees in European temperate old-growth forests."

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Ground Freezing Index (GFI) and the relative change of the minimum seasonal velocity compared to the mean velocity between 2005 and 2017 at Becs-de-Bosson rock glacier in the Swiss Alps

This dataset contains the Ground Freezing Index (GFI) and the relative change of the minimum seasonal velocity compared to the mean velocity between 2005 and 2017 at Becs-de-Bosson rock glacier in the Swiss Alps. Velocity data is measured by GNSS surveys. GFI is the sum of the daily negative GSTs during the entire freezing season, indicating the coldness of the winter temperature.

opencc-by-4.0Feb 2024View details →

How well do we know the seasonal cycle in ocean bottom pressure?

Sa_harmonics.mat: Annual harmonics (amplitude and phase) calculated from ECCOv4r5, JPL GRACE, and GSFC GRACE data. Ssa_harmonics.mat: Semiannual harmonics (amplitude and phase) calculated from ECCOv4r5, JPL GRACE, and GSFC GRACE data. Sta_harmonics.mat: Terannual harmonics (amplitude and phase) calculated from ECCOv4r5, JPL GRACE, and GSFC GRACE data. GAL_LA_Sa_std.mat: Standard deviation of annual harmonics for gravitational attraction and loading effects. GAL_La_Ssa_std.mat: Standard deviation of semiannual harmonics for gravitational attraction and loading effects. g0_getOBP.m: Script to read GSFC GRACE data and remove earthquake signals. g1_fitcycleOBP.m: Script to calculate harmonics from bottom pressure data. get_EQphase.m: Function that yields the phases for the equilibrium tide of the major tidal constituents from HW95 catalogue

Solar radiation estimation in West Africa: impact of dust conditions during 2021 dry season

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Animated Series Production Schedule "Jaci na Selva de Pedra" (1st Season)

Brazilian Animated Series "Jaci na Selva de Pedra" Production Schedule based on Belisa Proença's production model.

Spatial and seasonal fluctuations in fresh submarine groundwater discharge revealed by marine continuous resistivity profiling

MCRP, Piezometric level Seawater, Radium isotope activities, Seawater salinity profiles (Mataró, Spain)

Dataset: Tracking the south polar seasonal cap retreat of Mars using computer vision

These CSV files contain the ellipse fit parameters used for the analysis in Acharya, P. J., Smith, I. B., & Calvin, W. M. (2024). “Tracking the South Polar Seasonal Cap Retreat of Mars Using Computer Vision.” Icarus. DOI: 10.1016/j.icarus.2024.116104.  The SPSC ellipse is derived using a mosaic of MARCI images developed by Calvin, W. M., Cantor, B. A., & James, P. B. (2017). Interannual and seasonal changes in the south seasonal polar cap of Mars: Observations from MY 28-31 using MARCI. Icarus, 292, 144-153.. Each mosaic is 1000x1000 pixels with a spatial resolution of 0.072246423 Latitude ° per pixel.  The file names follow the convention ##.csv, where ## represents the Mars Year (MY). The following table shows what each variable presents.  <table> <tbody> <tr> <td>Variable Name</td> <td>Description [Units]</td> </tr> <tr> <td>Ls </td> <td> Solar Lonigude [°] </td> </tr> <tr> <td>Major Axis</td> <td> Semi-major axis value [Latitude °] </td> </tr> <tr> <td>Minor Axis</td> <td> Semi-minor axis value [Latitude °] </td> </tr> <tr> <td>Average Axis</td> <td> Average axis (See publication for more information) [Laitutde °] </td> </tr> <tr> <td>Major_Angle</td> <td> Rotation of the fitted ellipse from 0E (°) </td> </tr> <tr> <td>Dis_Center</td> <td> Distance between the center of the ellipse and the geographical center [Latitude °] </td> </tr> <tr> <td>Center X</td> <td> X coordinate of the center of the ellipse [Pixels] </td> </tr> <tr> <td>Center Y</td> <td> Y coordinate of the center of the ellipse [Pixels] </td> </tr> <tr> <td>Area</td> <td> Area of the ellipse [Squared kilometers] </td> </tr> <tr> <td>Circle_Radius</td> <td> The radius of the circle of best fit [Latitude °] </td> </tr> <tr> <td>Contour_Area</td> <td> Area of the SPSC [Squared kilometers] </td> </tr> </tbody> </table>

opencc-by-4.0Jun 2024View details →

On the layered structure and Seasonal Variation of the Water Exchanges in the Sulawesi Sea Areas as well as the associated dynamics

The layered structure and seasonal variation of the water exchanges in the Sulawesi Sea areas, as well as the corresponding dynamics, are investigated using HYCOM data. A net inward water mass transport is identified in the upper and intermediate layers in the Sulawesi Sea and it is compensated by the net outward transport in the deep layer. As an important source of this net inward transport, the southward flow through the Sibutu Passage (denoted hereafter as Sibutu Flow) reaches 5.06Sv in winter, accounting for ~43% of the net inflow. However, it decreases substantially to 1.79Sv in summer, accounting for only 12% of the inflow. Further analysis reveals that this Sibutu Flow modulates the seasonal variation of the corresponding outward flow at the Makassar Strait, the major exit of the water mass in the Sulawesi Sea. In winter, the enhancement of the Sibutu Flow associated with the greater intrusion of Kuroshio water into the Luzon Strait produces a stronger eastward pressure gradient force, suppressing the surface intrusion of the Mindanao Current. Conversely, this pressure gradient force weakens and shifts westward in summer, permitting a larger water intrusion from the eastern section. Given that the outward Makassar Flow is the main passage of the Indonesian Throughflow (ITF), our study highlights the essential role of the Sibutu Flow in modulating seasonal variabilities of the ITF via the Makassar Strait and, thus, the transfer of water masses and heat content between the Pacific and Indian Oceans.

opencc-by-4.0Jun 2024View details →

Evaluation of Thermal Comfort Conditions in The Working Environments of Seasonal Agricultural Workers in Csa Koppen Climate Type

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Seasonal Variations of Microbial Communities and Viral Diversity in Fishery-Enhanced Marine Ranching Sediments: Insights into Metabolic Potentials and Ecological Interactions

Sediment samples were collected in four seasons from May 2022 to January 2023 from the Tian coastal marine ranching (36°91′ N and 122°15′ E) located along Jinghai Bay in Weihai City, Shandong Province, China. We employed amplicon (16S and 18S) and metagenomic approaches aiming to reveal the seasonal patterns of microbial communities, bacterial-eukaryotic interactions, whole metabolic potential, and their coupling mechanisms with carbon (C), nitrogen (N), and sulfur (S) cycling in marine ranching sediments. Additionally, the characterization and diversity of viral communities in different seasons were explored in marine ranching sediments.  This dataset mainly includes amplicon sequencing (16S and 18S) generated ASV tables (after rarefied), corresponding taxonomic classification tables, metagenome assembly (Single assembly and Co-assembly), metagenome-assembled genomes (MAGs) sequences, and viral operational taxonomic units (vOTUs) sequences.

Anatomy of the 2022 scorching summer in the Yangtze River Basin using the SINTEX-F2 seasonal prediction system

The above documents are used in the article of the same name.

Faecal samples analysed per bat species for each location, season and habitat type in northern Madagascar

This table is part of the PhD thesis of Carme Tuneu-Corral, entitled 'Bats and rice: promoting Integrated Pest Management to enhance biodiversity conservation'. It is the Table A4.1 of the supplementary material of the Chapter 5 'Beyond borders: evaluating the role of protected areas in promoting bat-mediated pest suppression in rural areas of northern Madagascar', and compiles the information on the number of samples analysed per bat species for each location, season and habitat type. Buildings were all located in rural villages outside protected areas, and caves and forest were all located inside protected areas. Methodology:  Due to the subtropical climate of this country, we sampled bats in two periods representing the two main seasons for both Amber Mountain and Ankarana. Dry and wet season vary slightly in timing and extent, and we adjusted the field periods to cover the end of the dry season (October – November 2022), and the end of the wet season (May 2023, as in April one of the protected areas was inaccessible due to the poor state of the road caused by heavy rains). French Mountain was visited only in the dry season (October – November  2022) due to logistic limitations. We used mist-nets and harp traps to sample insectivorous bats in protected areas and rural villages. Bat captures were conducted for 7-10 consecutive nights in each protected area, changing sampling points daily to cover a wider area. We sampled bats in a total of six caves and four forest points in Ankarana; six caves and two forest points in French Mountain; and 10 forest points in Amber Mountain (there are no known caves in this protected area). Three school buildings were visited at 16 km from Ankarana borders, two public buildings at 3 km from Amber Mountain borders, and two school buildings at 1 km from French Mountain borders. When sampling forest habitats, mist-nets and harp traps were installed 30 minutes before sunset and remained open for at least four hours. When sampling bats at roost entrances (caves inside protected areas and buildings in rural villages), bats were captured before sunrise when returning to the colony after feeding. In these cases, we used mist-nets and harp traps set up four hours before dawn, which remained in place until 30 minutes after sunrise. All insectivorous bats captured were measured, weighed and identified using different bibliographic references. Bat captures and handling were conducted following guidelines approved by the American Society of Mammalogists (Sikes and Gannon, 2011). Bats were kept in clean cloth bags until they defecated, generally for a maximum of one hour. In case the bat individuals had not defecated within that time interval, they were released after being measured, weighted and identified. Faecal pellets of each individual were immediately collected and stored in 2 ml tubes with 95% ethanol and labelled accordingly. All bats were released at the same site where they were captured. We gathered a total of 500 samples to assess bat diet: 250 samples collected in the dry season and 250 samples in the wet season. The number of samples collected per species varied according to their rate of capture at the different sampling points. We were able to trap 15 different insectivorous bat species, 11 Madagascar endemics, and four regional endemics also occurring on nearby islands. Twelve bat species were captured exclusively inside the protected areas and those considered largely forest dependent are highlighted in bold (Chaerephon jobimena, Laephotis matroka, Macronycteris commersoni, Miniopterus aelleni, M. ambohitrensis, M. gleni, M. griveaudi, Myotis goudoti, Otomops madagascariensis, Paratriaenops auritus, Paremballonura tiavato, Triaenops menamena), and two were captured exclusively outside the protected areas (Chaerephon leucogaster, Mops leucostigma). Mormopterus jugularis was the only species found roosting both in caves and buildings, although it was primarily captured in natural roosts in this study. We collected faecal samples for all these species, obtaining operational genetic material (i.e. OTUs representing more than 1% of the total dietary reads of each sample) from 454 of the 500 faecal samples analysed (Table A4.1).

Seasonal weighted percentage of occurrence (wPOO) of different arthropod orders in the diet of bats of northern Madagascar

This table (updated from previous version) is part of the PhD thesis of Carme Tuneu-Corral, entitled 'Bats and rice: promoting Integrated Pest Management to enhance biodiversity conservation'. It is the Table A4.2 of the supplementary material of the Chapter 5 'Beyond borders: evaluating the role of protected areas in promoting bat-mediated pest suppression in rural areas of northern Madagascar', and illustrates the weighted percentage of occurrence (wPOO) of each arthropod order in the diet of the different bat species for each season (dry and wet). The values in brackets next to each species name are the total samples collected for that species. Methodology:  When focusing on the different bat species, bat diet was assessed using the weighted percentage of occurrence data (wPOO), which is similar to POO, but it weights each occurrence according to the number of food items in the sample, since it may be more biologically realistic than using POO or FOO. As discussed by Deagle et al. (2019), POO data is useful because it shows each food taxon's percentage of the total diet (unlike FOO, which does not sum to 100%). However, wPOO may be more accurate because it weights each sample equally, preventing samples with many food taxa from having stronger influence. wPOO values were also calculated for each season (dry/wet) independently, in order to perceive changes in prey preferences depending on the season.

openJul 2024View details →

Dataset for Publication "Leaf phenology as one important driver of seasonal changes in isoprene emissions in central Amazonia"

This is the dataset presented in: Alves, E. G., Tóta, J., Turnipseed, A., Guenther, A. B., Vega Bustillos, J. O. W., Santana, R. A., Cirino, G. G., Tavares, J. V., Lopes, A. P., Nelson, B. W., de Souza, R. A., Gu, D., Stavrakou, T., Adams, D. K., Wu, J., Saleska, S., and Manzi, A. O.: Leaf phenology as one important driver of seasonal changes in isoprene emissions in central Amazonia, Biogeosciences, 15, 4019–4032, https://doi.org/10.5194/bg-15-4019-2018, 2018.

Quantitatively Monitoring of Seasonal Frozen Ground Freeze-thaw Cycle Using Ambient Seismic Noise Data

This is the electronic supplemental data for the publication entitled  "Quantitatively Monitoring of Seasonal Frozen Ground Freeze-thaw Cycle Using Ambient Seismic Noise Data" submitted to Seismological Research Letters (SRL).  The names of the compressed files represent the experiment number and station number. For example, "1_2" indicates data collected from the second station during the first experiment. Each compressed file contains seismic raw data in the ".SAC" format. The filenames include the UTC end time of data collection. For instance, "453003616.00000001.2021.10.20.06.40.22.000.z.sac" indicates that data collection ended at 06:40:22 on October 20, 2021. Each complete .sac file contains 4 days of data with a sampling interval of 0.002 seconds.

opencc-by-4.0Dec 2016View details →

Interrogation of the Seasonal Microbiome of Anopheles coluzzii in Mali

These are the raw sequencing files (fastq) and scripts necessary to perform our analysis of the seasonal microbiome of An. coluzzii in Mali.

opencc-by-4.0Mar 2018View details →

The Role of Convective Gustiness in Reducing Seasonal Precipitation Biases in the Tropical West Pacific

Necessary outputs and scripts for recreating the figures for the journal article with the same title.

opencc-zeroApr 2018View details →

Supplementary material 1 from: de Oliveira Dias C, de Araujo AV, Bonecker SLC (2018) Vertical distribution and structure of copepod (Arthropoda: Copepoda) assemblages in two different seasons down to 1,200 m in the tropical Southwestern Atlantic. Zoologia 35: 1-11. https://doi.org/10.3897/zoologia.35.e13886

Table S1. Vertical distributions of the mean, standard deviation (SD), relative abundance (RA), and occurrence frequency (OF) of the copepod species found in Campos Basin, during the rainy season. :

opencc-zeroApr 2018View details →

Supplementary material 2 from: de Oliveira Dias C, de Araujo AV, Bonecker SLC (2018) Vertical distribution and structure of copepod (Arthropoda: Copepoda) assemblages in two different seasons down to 1,200 m in the tropical Southwestern Atlantic. Zoologia 35: 1-11. https://doi.org/10.3897/zoologia.35.e13886

Table S2. Vertical distributions of the mean, standard deviation (SD), relative abundance (RA), and occurrence frequency (OF) of the copepod species found in Campos Basin, during the dry season. :