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Fig. 1. Maps indicating the sampling locality within South Africa. A in Camallanid nematodes from Clarias gariepinus (Burchell, 1822) in the Crocodile River, Gauteng, South Africa: Exploring diversity and divergence in an acid-mine drainage impacted environment
Fig. 1. Maps indicating the sampling locality within South Africa. A- Map of Africa. B- Map of South Africa; red square highlighting area of interest. C- Map of Crocodile River flowing from Lake Heritage (sampling site) to Hartbeespoort Dam further downstream.
Рис. 1. Карта-схема заповеΑника «КомсомоΛьский». Точками обозначены места отбора проб Fig. 1. Map of the Komsomolsky Nature Reserve. Dots indicate sampling locations in Zoobenthos of the Komsomolsky Nature Reserve watercourses: Quantitative distribution
Рис. 1. Карта-схема заповеΑника «КомсомоΛьский». Точками обозначены места отбора проб Fig. 1. Map of the Komsomolsky Nature Reserve. Dots indicate sampling locations
FIGURE 1 in Findings of Daphnia (Ctenodaphnia) Dybowski et Grochowski (Branchiopoda: Cladocera) in Cenozoic volcanogenic lakes in Germany, with discussion of their indicator value
FIGURE 1. Fossils from Randeck Maar, rock fragment, SMNS 101.665: 1 - whole rock fragment with paper arrows pointing out the impressions of Daphnia (Ctenodaphnia) parthenogenetic females in upper (yellowish) layer. 2 - its side portion, with visible alternation of yellowish and grayish layers. 3 - adult female, lateral view. 4 - two females, dorso-lateral view. 5 - dorsal view. 6-7 - lateral view and antenna II. 8 - ephippium in grayish layer. All scales equal 1 mm. Abbreviations: aII - antenna II; cn - caudal needle; el - egg loculus.
FIGURE 2 in Findings of Daphnia (Ctenodaphnia) Dybowski et Grochowski (Branchiopoda: Cladocera) in Cenozoic volcanogenic lakes in Germany, with discussion of their indicator value
FIGURE 2. Fossils from Rott in the collection of SIUB. 1 - ephippium, syntype of Daphnia fossilis von Heyden, 1862, fragment A557. 2 - presumable adult female, A 648bB. 3-4 - clusters of ephippia attached to small sticks, A654 and A644a. 5-8 - general view of ephippia, A644a, A647 (two), A654b. All scales equal 1 mm. Abbreviations: ap - anterior projection; el - egg loculus.
South American Regional Indices on Convectively Coupled Waves
<p>This dataset provides regional indices for Convectively Coupled Waves (CCWs) over South America. The indices include data on wave activity a covering a specified temporal and spatial range. The data is valuable for researchers studying the influence of CCWs on regional climate and weather patterns.</p> <p><strong>Keywords</strong>: South American Regional Indices, Convectively Coupled Waves, Climate Data, CCWs Indices</p> <p><strong>Data Description</strong>:</p> <ul> <li><strong>Content</strong>: Includes indices for CCWs and time series data.</li> <li><strong>Format</strong>: Available in text and NetCDF format.</li> <li><strong>Coverage</strong>: Temporal coverage from 1979 to 2023 spatial coverage includes tropical South America domain.</li> </ul> <p><strong>Methodology</strong>: The indices are derived using EOF analisysis after filtering OLR.</p> <p><strong>Usage</strong>: The data can be used to analyze the seasonal and interannual variability of CCWs and their impact on South American weather patterns. Example applications include climate modeling, weather prediction, and atmospheric research.</p> <p><strong>Acknowledgments</strong>: This work was supported by NOAA grant number NA22OAR4310611 and NSF CAREER grant number 2236433 .</p> <p><strong>License</strong>: This dataset is licensed under Creative Commons Attribution 4.0 International License.</p> <p><strong>Contact Information</strong>: For more information, please contact : mayta@wisc.edu</p> <p> </p>
FIGURE 4 in A typical enzyme activity for glutathione conjugation indicates exposure of pacu to pollutants
FIGURE 4 |GST specific activities in kidney cytosol from Piaractus mesopotamicus injected with benzo[a]pyrene (15 mg kg-1). Assays were carried out with 1-chloro-2,4-dinitrobenzene (CDNB), ethacrynic acid (ETHA) or 2-dichloro-4-nitrobenzene (DCNB) 7 and 14 days after the injection. Bars represent the means ± S.E.M. of determinations from nine fish injected with corn oil (clear) or benzo[a]pyrene (dark grey). Significant different from controls are indicated as *(P <0.05) and ***(P <0.001).
FIGURE 3 in A typical enzyme activity for glutathione conjugation indicates exposure of pacu to pollutants
FIGURE 3 |GST specific activities in liver cytosol from Piaractus mesopotamicus injected with benzo[a]pyrene (15 mg kg-1). Assays were carried out with 1-chloro-2,4-dinitrobenzene (CDNB), ethacrynic acid (ETHA) or 2-dichloro-4-nitrobenzene (DCNB) 7 and 14 days after the injection. Bars represent the means ± S.E.M. of assays from nine fish injected with corn oil (clear) or benzo[a]pyrene (dark grey). Significant different from controls are indicated as ***(P <0.001).
FIGURE 2 in A typical enzyme activity for glutathione conjugation indicates exposure of pacu to pollutants
FIGURE 2 |GST specific activities in kidney cytosol from Piaractus mesopotamicus injected with methyl parathion (8 mg kg-1). Assays were carried out with 1-chloro-2,4-dinitrobenzene (CDNB), ethacrynic acid (ETHA) or 2-dichloro-4-nitrobenzene (DCNB) at 24, 48 and 96 hours after the injection. Bars represent the means ± S.E.M. of assays from five fish injected with corn oil (clear) or methyl parathion (dark grey).
FIGURE 1 in A typical enzyme activity for glutathione conjugation indicates exposure of pacu to pollutants
FIGURE 1 |GST specific activities in liver cytosol from Piaractus mesopotamicus injected with methyl parathion (8 mg kg-1). Assays were carried out with 1-chloro-2,4-dinitrobenzene (CDNB), ethacrynic acid (ETHA) or 2- dichloro-4-nitrobenzene (DCNB) at 24, 48 and 96 hours after the injection. Bars represent the means ± S.E.M. of assays from five fish injected with corn oil (clear) or methyl parathion (dark grey). Significant differences from controls are indicated as **(P <0.01).
Figure 1. A in Field surveys in Western Panama indicate populations of Atelopus varius frogs are persisting in regions where Batrachochytrium dendrobatidis is now enzootic
Figure 1. A female Harlequin frog, Atelopus varius. This species, classified as Critically Endangered by IUCN, has been found in small numbers in the mountains of Western Panama.
Eutrophication indicators in the Baltic Sea 1970-2100 and nutrient loads to three coastal systems. BALTSEM model simulations and observations.
<p>Dataset and model code accompanying manuscript: </p> <p>Ehrnsten, E. Humborg C., Gustafsson, E. and Gustafsson B. G. 2024. Disaster avoided: current state of the Baltic Sea without human intervention to reduce nutrient loads. Resubmitted to Limnology & Oceanography Letters 2024-09-13. </p> <p> </p> <p>This repository contains the following files:</p> <p> </p> <p>1_Data_description.pdf</p> <p>Description of data sets and details on model forcing and data collection methods.</p> <p> </p> <p>Eutrophication_indicators1970-2021_BALTSEM_and_observations.xlsx</p> <p>Eutrophication indicators in the Baltic Sea: BALTSEM model simulation output from real load and no reduction scenarios as well as observations 1970-2021.</p> <p> </p> <p>BALTSEM_output_future_1970-2100.xlsx</p> <p>BALTSEM model simulation output 1970-2021 with observed nutrient loads (Real loads scenario) and statistics of 100 model runs 2022-2100 with present (2021) nutrient loads. The 100 runs represent statistical variations in forcing and boundary conditions to account for uncertainty in future weather and sea level conditions.</p> <p> </p> <p>NPloads_BS_M_C.xlsx</p> <p>Nitrogen and phosphorus loads from the Baltic Sea, Mississippi and Changjiang catchments 1950-2021 collected from several published sources.</p> <p> </p> <p>baltsem9.5_carbon.tar.gz</p> <p>Copressed folder with model code for BALTSEM 9.5 as well as forcing data used in the simulations. Information on folder contents and a user guide to run the model simuations can be found in the file BALTSEMGettingStartedCarbon.pdf</p>
Forecasting the CBOE VIX and SKEW Indices Using Heterogeneous Autoregressive Models
<p>This dataset is used in the paper "Forecasting the CBOE VIX and SKEW Indices Using Heterogeneous Autoregressive Models" by Massimo Guidolin and Giulia F. Panzeri. The data contains daily observations of the VIX, SKEW, and SKEW− indices over the period January 4, 1996, - December 31, 2019. This period covers a total of 6,005 daily observations. The dataset is constructed from multiple sources as described in the paper and includes several files that correspond to different transformations and forecast errors of the indices.</p>
EOS Models for 'Indication of Sharp and Strong Phase-Transitions from NICER Observations'
<p>We provided the data of EoS models used to plot Fig. 1, 2, 3 and 4 in "Indication of Sharp and Strong Phase-Transitions from NICER Observations". In the v2 version, a smaller dataset containing only the data of M-R curves based on 3P and 4L EoSs are provided. </p>
Database of indicators of socio-economic development of the Great Altai regions in the post-Soviet period
<p>As part of the research work "Altai vector of Eurasian economic integration: cross-border challenges, effects, strategic objectives and priorities for the Altai Krai" (FZMW-2023-0015), the task was to develop a database of indicators of development of cross-border regions of Russia, Kazakhstan, Mongolia and China for the period 1990-2022. To solve the task, statistical data from official sources were used. The database contains 68 indicators of socio-economic development of the Great Altai region, grouped into 10 structural blocks. The temporal resolution of the data is 1 year. The data were preliminarily analyzed for outliers and inconsistencies. On the basis of econometric methods, processing was performed to restore short-term gaps in the time series of the data. The generated database represents a unique set of socio-economic and climatic indicators for the transboundary study area, allowing to solve the problems of modeling and analysis of agricultural production dynamics in the post-Soviet period.</p>
AI adoption indices by Oxford, CISCO and EDBI
<p>Details data on AI adoption indecses provided by:</p> <ul> <li>Oxford Insights Government AI Readiness Index (https://oxfordinsights.com/ai-readiness/ai-readiness-index/) - 2023</li> <li>Cisco AI Readiness Index (https://oxfordinsights.com/ai-readiness/ai-readiness-index/) - 2023</li> <li>Kearney Report: Racing toward the future: artificial intelligence in Southeast Asia (https://www.kearney.com/service/digital-analytics/article/-/insights/racing-toward-the-future-artificial-intelligence-in-southeast-asia) - 2020</li> </ul>
Open data on organizational success indicators
<p>This is the open data set that undergirds the analysis for "The Many Indicators of Nonprofit Success as Seen by Nonprofit Leaders"; detailed reference to be announced.</p>
The raw data for the research "Comparing Neural Network Models Based on Macro Perspective Economic and Environmental Indicators with ARIMA Model in predicting Construction Cost Index in UK"
<p>The raw data for the research "Comparing Neural Network Models Based on Macro Perspective Economic and Environmental Indicators with ARIMA Model in predicting Construction Cost Index in UK".</p> <p>Data collector: Runda Zheng</p>
Citation count error data for "Data inaccuracy quantification and uncertainty propagation for bibliometric indicators"
<p>This is the original collected data on citation count errors resulting from citation matching errors in Web of Science data for the publication "Data inaccuracy quantification and uncertainty propagation for<br>bibliometric indicators". The first column, <code>CITCOUNT_ALL</code>, gives the total (corrected) citation count for a publication, which is the citation count according to WoS plus the additionally manually identified citations (missed by WoS's algorithm). The second column, <code>CITCOUNT_WOS</code>, is the WoS citation count. The numeric difference between the two column values in one row is the number of additionally manually identified citations.</p>
Linked collectors and determiners for: Potential indicator species of climate changes occurring in Québec, Part 1: the small brown lacewing fly Micromus posticus (Walker) (Neuroptera: Hemerobiidae).
Natural history specimen data linked to collectors and determiners held within, "Potential indicator species of climate changes occurring in Québec, Part 1: the small brown lacewing fly Micromus posticus (Walker) (Neuroptera: Hemerobiidae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/8260db39-8776-4ad6-bd80-46e4e1168bf7">https://bionomia.net/dataset/8260db39-8776-4ad6-bd80-46e4e1168bf7</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/8260db39-8776-4ad6-bd80-46e4e1168bf7">https://gbif.org/dataset/8260db39-8776-4ad6-bd80-46e4e1168bf7</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Phylogeny indicates polyphyly in Cnodocentron (Trichoptera: Xiphocentronidae): biogeography and revision of New World species (Caenocentron).
Natural history specimen data linked to collectors and determiners held within, "Phylogeny indicates polyphyly in Cnodocentron (Trichoptera: Xiphocentronidae): biogeography and revision of New World species (Caenocentron)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/5e350c66-bf9d-4f32-b68f-16a6b329a76f">https://bionomia.net/dataset/5e350c66-bf9d-4f32-b68f-16a6b329a76f</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/5e350c66-bf9d-4f32-b68f-16a6b329a76f">https://gbif.org/dataset/5e350c66-bf9d-4f32-b68f-16a6b329a76f</a>. Formatted as a Frictionless Data package.
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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.