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Final Pool and Online Repository
<p>This file includes all of the classification details of <strong><em>"Quality and Success in Open Source Software: A Systematic Mapping" study.</em></strong></p>
Figure 2 in Characterization of a Small Population of the Orangeblack Hawaiian Damselfly (Megalagrion xanthomelas) in Anchialine Pools at Kaloko-Honokōhau National Historical Park, Hawai'i Island
Figure 2. Male Megalagrion xanthomelas perched on pickleweed (A), a tandem pair of M. xanthomelas perched on a small branch (B), and four of the core pools where M. xanthomelas were surveyed (C–F). Note that the female M. xanthomelas (B) is probing the tip of her abdomen on the side of a branch that is above the surface of the water. The wetness of the branch suggests that it will be submerged during high tide.
Figure 1 in Characterization of a Small Population of the Orangeblack Hawaiian Damselfly (Megalagrion xanthomelas) in Anchialine Pools at Kaloko-Honokōhau National Historical Park, Hawai'i Island
Figure 1. Location of Kaloko-Honokōhau National Historical Park along the Kona Coast of Hawai'i. Anchialine pools supporting Megalagrion xanthomelas are located centrally in the Park between Kaloko and 'Aimakapā Fishponds.
Figure 4 in Characterization of a Small Population of the Orangeblack Hawaiian Damselfly (Megalagrion xanthomelas) in Anchialine Pools at Kaloko-Honokōhau National Historical Park, Hawai'i Island
Figure 4. Frequency of ovipositing behavior on substrates relative to the water surface in the five core pools where most observations were made and in all seven core pools combined. Ovipositing behavior was rarely observed at two core pools (7 and 58) and those data are not displayed individually.
Figure 4 in Composition and structure of soil fauna community in the Dexing Copper Mine tailings pool after revegetation
Figure 4. One-way ANOVA of Shannon–Wiener diversity index (H'), Pielou index (Js), and Margalef index (D) across the different samples (mean ± SE). Means with different letters are significantly different as assessed by LSD test, α = 0.05.
Figure 3 in Composition and structure of soil fauna community in the Dexing Copper Mine tailings pool after revegetation
Figure 3. One-way ANOVA of the functional groups across the different samples (mean ± SE). Means with different letters are significantly different as assessed by LSD test, α = 0.05.
Figure 5 in Composition and structure of soil fauna community in the Dexing Copper Mine tailings pool after revegetation
Figure 5. Results of the principal components analysis (PCA) of the soil fauna data. The values are means (n = 3) with bidirectional error bars of axis 1 and 2. For all the PCA plots, the values on the x- and y-axes represent the percent variation explained by axis 1 and axis 2, respectively. I, II, III, and IV refer to the sample I, sample II, sample III, and sample IV, respectively.
Figure 2 in Composition and structure of soil fauna community in the Dexing Copper Mine tailings pool after revegetation
Figure 2. One-way ANOVA of the abundance (A) and taxonomic richness (B) across different samples (mean ± SE). Means with different letters are significantly different as assessed by LSD test, α = 0.05.
Figure 1 in A juvenile Stereolepis doederleini (Polyprionidae) from a tidal pool at Jeju Island, Korea
Figure 1. – Stereolepis deoderleini, MFD- 1025, 14.8 mm SL. A: Fresh, B: Preserved. Scale bar = 5 mm.
Fig. 1 in Sex differences on the feeding of the gobiid fish Bathygobius soporator in tide pools of Maiandeua Island, Pará, Brazil
Fig. 1. Non-Metric Multidimensional Scaling (NMDS) shows the variation in the diet of males and females Bathygobius soporator (Valenciennes, 1837) specimens and the formation of three main groups with different diets in the population of Maiandeua Island, Pará, Brazil.
Fig. 4 in Ecomorphological patterns of the fishes inhabiting the tide pools of the Amazonian Coastal Zone, Brazil
Fig. 4. Principal Components Analysis (PCA) based on the seven ecomorphological indices related to the feeding of 19 fish species collected from tide pools on the Amazonian Coastal Zone in 2011. Hypotheses concerning the interpretation of the ecomorphological indices highly correlated with the principal axes. Codes: Atherinella cf. brasiliensis (ABR); Amphichthys cryptocentrus (ACR); Amphiarius phrygiatus (APH); Bathygobius soporator (BSO); Batrachoides surinamensis (BSU); Butis koilomatodon (BKO); Colomesus psittacus (CPS); Epinephelus itajara (EIT); Engraulidae gen. (ENG); Gobiesox barbatulus (GBA); Gymnothorax aff. funebris (GFU); Lutjanus jocu (LJO); Mugil aff. curema (MCU); Mugil aff. hospes (MHO); Mugil sp. (MSP); Omobranchus punctatus (OPU); Rypticus randalli (RRA); Sphoeroides greeleyi (SGR); Thalassophryne nattereri (TNA).
Fig. 3 in Ecomorphological patterns of the fishes inhabiting the tide pools of the Amazonian Coastal Zone, Brazil
Fig. 3. Principal Components Analysis (PCA) of six ecomorphological indices related to the position of the species in the water column, based on the morphometric measurements of 19 fish species collected from tide pools on the Amazonian Coastal Zone in 2011. Hypotheses concerning the interpretation of the ecomorphological indices highly correlated with the principal axes. Codes: Atherinella cf. brasiliensis (ABR); Amphichthys cryptocentrus (ACR); Amphiarius phrygiatus (APH); Bathygobius soporator (BSO); Batrachoides surinamensis (BSU); Butis koilomatodon (BKO); Colomesus psittacus (CPS); Epinephelus itajara (EIT); Engraulidae gen. (ENG); Gobiesox barbatulus (GBA); Gymnothorax aff. funebris (GFU); Lutjanus jocu (LJO); Mugil aff. curema (MCU); Mugil aff. hospes (MHO); Mugil sp. (MSP); Omobranchus punctatus (OPU); Rypticus randalli (RRA); Sphoeroides greeleyi (SGR); Thalassophryne nattereri (TNA).
Fig. 2 in Ecomorphological patterns of the fishes inhabiting the tide pools of the Amazonian Coastal Zone, Brazil
Fig. 2. Principal Components Analysis (PCA) for the six ecomorphological indices related to locomotion in the 19 fish species collected from tide pools on the Amazonian Coastal Zone in 2011. Hypotheses concerning the interpretation of the ecomorphological indices highly correlated with the principal axes. Codes: Atherinella cf. brasiliensis (ABR); Amphichthys cryptocentrus (ACR); Amphiarius phrygiatus (APH); Bathygobius soporator (BSO); Batrachoides surinamensis (BSU); Butis koilomatodon (BKO); Colomesus psittacus (CPS); Epinephelus itajara (EIT); Engraulidae gen. (ENG); Gobiesox barbatulus (GBA); Gymnothorax aff. funebris (GFU); Lutjanus jocu (LJO); Mugil aff. curema (MCU); Mugil aff. hospes (MHO); Mugil sp. (MSP); Omobranchus punctatus (OPU); Rypticus randalli (RRA); Sphoeroides greeleyi (SGR); Thalassophryne nattereri (TNA).
Fig. 1 in Ecomorphological patterns of the fishes inhabiting the tide pools of the Amazonian Coastal Zone, Brazil
Fig. 1. Location of the tide pools sampled in 2011 on the sandy beaches of the Amazonian Coastal Zone at (A) Areuá, (B) Algodoal, (C) Fortalezinha, (D) Marieta, and (E) Maçarico.
Figure 2 in Use of tide pools as a spawning site by the bocon toadfish Amphichthys cryptocentrus (Batrachoidiformes: Batrachoididae), state of Maranhão, Brazil
Figure 2. - Amphychthys cryptocentrus larva (1.1 cm TL) caught in a tide pool on Panaquatira Beach, São José de Ribamar, State of Maranhão, Brazil. Photo: N.M. Piorski
Figure 1 in Use of tide pools as a spawning site by the bocon toadfish Amphichthys cryptocentrus (Batrachoidiformes: Batrachoididae), state of Maranhão, Brazil
Figure 1. - Adult male Amphychthys cryptocentrus (12.3 cm TL) caught in a tide pool on Panaquatira Beach, São José de Ribamar, state of Maranhão, Brazil. Photo: N.M. Piorski.
Data for Stable isotope composition of long and short term carbon pools can screen drought tolerance in cassava
<p>This repository contains data and scripts to reproduce results that are presented in the article: Van Laere, J., Martinez Maya, M.A., Selvaraj M.G., Becerra Lopez-Lavalle, L.A., Guzman, D., Casas, J.A., Merckx, R., Hood-Nowotny, R., Dercon, G. (2024)<strong> Stable isotope composition of long and short term carbon pools can screen drought tolerance in cassava</strong>. <em>Field Crops Research. </em>https://doi.org/10.1016/j.fcr.2024.109586</p>
Seefeld Cold-Air Pool Experiment (SEECAP): Meteorological Measurement Data
<p>The Seefeld Cold-Air Pool Experiment (SEECAP) focused on the cross-country skiing area Olympiaregion Seefeld and in particular the topographic setting in the Nordic ski arena which favors the formation of cold-air pools and took place between December 2019 and March 2020. Six automatic weather stations and 41 unventilated temperature sensors were distributed within the valley to gain insight into the spatial structure of the cold-air pool in Seefeld. The study site as well as locations and instrumentation of each station are described in Rudolph (2022) and Rauchöcker et al. (2024d). This upload contains meteorological measurement data associated with SEECAP. WRF simulations were performed for two nights, representing an ideal evolution of the cold-air pool (January 12 and January 13 2020) and a disrupted evolution (January 16 and January 17 2020), respectively. The output data of simulations with snow cover for the night between January 16 and January 17 2020 are published in Rauchöcker et al. (2024a) and in Rauchöcker et al. (2024c) for the night between January 12 and January 13 2020. Simulation output without snow cover is available for the night between January 16 and January 17 2020 in Rauchöcker et al. (2024b).</p> <h3><strong>Automatic Weather Stations</strong></h3> <p>Measurement data of the six automatic weather stations can be found in <em>momaa.zip</em>. The folder includes one file for each station (<em>MOMAA02.dat, MOMAA03.dat, MOMAA04.dat, MOMAA07.dat, MOMAA08.dat</em> and <em>MOMAA10.dat</em>). These stations measured temperature, pressure, humidity, net radiation, wind speed and wind direction at 1-min intervals. A figure showing the location of the different stations is included as well (<em>Stations.pdf</em>); the station names of the automatic weather stations are abreviated in the legend of that figure (e.g. M04 instead of MOMAA04). Incoming and outgoing longwave and shortwave radiation, latent heat flux and sensible heat flux were measured at MOMAA04 and MOMAA08. The radiation data can be found in <em>MOMAA04_rad.dat</em> and <em>MOMAA08_rad.dat</em> and eddy covariance data in <em>MOMAA04_turb.csv</em> and <em>MOMAA08_turb.csv</em>, respectively.</p> <h3><strong>Temperature Sensors</strong></h3> <p>Data from the unventilated temperature sensors can be found in <em>hobos.zip</em>, which contains a file for each sensor and the file names refer to the naming convention in <em>Stations.pdf</em>. Most sensors were located along the valley floor and along a ski jump on its southeastern slope. At nine locations, temperature sensors were mounted at two heights (1 m and 2 m above the ground). File names reflect that height by adding <em>_1m</em> or <em>_2m</em> to the file name (e.g. <em>A_1m.txt</em> and <em>A_2m</em>.txt). Locations that had only one sensor were named according to the station name (e.g. <em>M.txt</em>). The remaining sensors were used for vertical profiles at 3 different levels of a walk-up tower (<em>TOWER_2m.txt, TOWER_2ndfloor.txt</em> and <em>TOWER_top.txt</em>) and at a bridge (VP; labeled from <em>VP_050.txt</em> at 0.5m above the ground to <em>VP_630.txt</em> at 6.3m). A pseudo-vertical profile for the sensors along the slope of the valley, at the walk-up tower down to the lowest station in the upper basin (top to bottom, M03, S4, S3, S2, S1, M10, G, H, M04) can be found in <em>PseudoProfile_basin.mat</em>. </p>
Linked collectors and determiners for: NEON Biorepository Herptile Voucher Collection (Ground Beetle Sampling Bycatch Archive Pooling).
Natural history specimen data linked to collectors and determiners held within, "NEON Biorepository Herptile Voucher Collection (Ground Beetle Sampling Bycatch Archive Pooling)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/c8e9fe8e-391b-44b9-ad94-a5d15f4b5788">https://bionomia.net/dataset/c8e9fe8e-391b-44b9-ad94-a5d15f4b5788</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/c8e9fe8e-391b-44b9-ad94-a5d15f4b5788">https://gbif.org/dataset/c8e9fe8e-391b-44b9-ad94-a5d15f4b5788</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: NEON Biorepository Carabid Collection (Archive Pooling).
Natural history specimen data linked to collectors and determiners held within, "NEON Biorepository Carabid Collection (Archive Pooling)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/044d870e-5718-410a-9450-9c2ceac8e1d9">https://bionomia.net/dataset/044d870e-5718-410a-9450-9c2ceac8e1d9</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/044d870e-5718-410a-9450-9c2ceac8e1d9">https://gbif.org/dataset/044d870e-5718-410a-9450-9c2ceac8e1d9</a>. Formatted as a Frictionless Data package.
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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.