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zenodo40/100

Fig. 5 in Long-Term Development Of Fish Assemblage In Lake Fenéki (Kis-Balaton Water Protection System, Hungary): Succession, Invasion And Stabilization

Fig. 5. Estimated number of species (SD's ignored in order to improve visibility) as a function of number of individuals collected in each sampling year

opencc-by-4.0Dec 2012View details →
zenodo40/100

Fig. 8 in Long-Term Development Of Fish Assemblage In Lake Fenéki (Kis-Balaton Water Protection System, Hungary): Succession, Invasion And Stabilization

Fig. 8. PCA biplot of the arcsin-square root transformed relative abundance data of the period 1994–2011 (Variables: Sampling years; Objects: Relative abundances)

opencc-by-4.0Dec 2012View details →
zenodo40/100

Fig. 4 in Long-Term Development Of Fish Assemblage In Lake Fenéki (Kis-Balaton Water Protection System, Hungary): Succession, Invasion And Stabilization

Fig. 4. Relationships between the age of Lake Fenéki and the Shannon–Weaver index (y = 0.414ln(x) + 0.852; R2 = 0.772; P <0.0001)

opencc-by-4.0Dec 2012View details →
zenodo40/100

Fig. 3 in Long-Term Development Of Fish Assemblage In Lake Fenéki (Kis-Balaton Water Protection System, Hungary): Succession, Invasion And Stabilization

Fig. 3. Relationships between the age of Lake Fenéki and the number of fish species (y = 4.141ln(x) + 3.807; R2 = 0.759; P <0.0001)

opencc-by-4.0Dec 2012View details →
zenodo40/100

Fig. 1 in Long-Term Development Of Fish Assemblage In Lake Fenéki (Kis-Balaton Water Protection System, Hungary): Succession, Invasion And Stabilization

Fig. 1. Overlooking map of the Balaton-catchment, with the sampling site (Dark rectangle marked by the arrow indicates the flooded area of Lake Fenéki)

opencc-by-4.0Dec 2012View details →
dryad40/100

Data from: The impact of long-term azithromycin on antibiotic resistance in HIV-associated chronic lung disease

<p><b>Background</b>: Selection for resistance to azithromycin (AZM) and other antibiotics such as tetracyclines and lincosamides remains a concern with long-term AZM use for treatment of chronic lung diseases (CLD). We investigated the impact of 48 weeks of AZM on the carriage and antibiotic resistance of common respiratory bacteria among children with HIV-associated CLD.</p> <p><b>Methods</b>: Nasopharyngeal (NP) swabs and sputa were collected at baseline, 48 and 72 weeks from participants with HIV-associated CLD randomised to receive weekly AZM or placebo for 48 weeks and followed post-intervention until 72 weeks. The primary outcomes were prevalence and antibiotic resistance of <i>Streptococcus pneumoniae</i> (SP), <i>Staphylococcus aureus </i>(SA), <i>Haemophilus influenzae </i>(HI), and <i>Moraxella catarrhalis </i>(MC) at these timepoints. Mixed-effects logistic regression and Fisher's exact test were used to compare carriage and resistance respectively.</p> <p><b>Results</b>: Of 347 (174 AZM, 173 placebo) participants (median age 15 years [IQR =13–18], females 49%),NP carriage was significantly lower in the AZM (n=159) compared to placebo (n=153) arm for SP (18% vs 41%, <i>p</i>&lt;0.001)<i>, </i>HI (7% vs 16%, p=0.01)<i>, </i>and MC (4% vs 11%, <i>p</i>=0.02); SP resistance to AZM (62% [18/29] vs 13%[8/63], <i>p</i>&lt;0.0001) or tetracycline (60%[18/29] vs 21%[13/63], <i>p</i>&lt;0.0001) were higher in the AZM arm. Carriage of SA resistant to AZM (91% [31/34] vs 3% [1/31],<i> p</i>&lt;0.0001), tetracycline (35% [12/34] vs 13% [4/31],<i> p</i>= 0.05) and clindamycin (79% [27/34] vs 3% [1/31],<i> p</i>&lt;0.0001) was also significantly higher in the AZM arm and persisted at 72 weeks. Similar findings were observed for sputa.</p> <p><b>Conclusions</b>: The persistence of antibiotic resistance and its clinical relevance for future infectious episodes requiring treatment needs further investigation.</p>

opencc-zeroNov 2021View details →
zenodo40/100

Fig. 6 in Pseudoleucochloridium ainohelicis nom. nov. (Trematoda: Panopistidae), a Replacement for Glaphyrostomum soricis Found from Long-Clawed Shrews in Hokkaido, Japan, with New Data on its Intermediate Hosts

Fig. 6. The egg of Pseudoleucochloridium ainohelicis nom. nov. in the gravid adult. The left end is an operculum. An arrow indicates the notch of eggshell. A miracidium is visible inside. Scale bar 10 µm.

opencc-by-4.0Jul 2019View details →
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Fig. 4 in Pseudoleucochloridium ainohelicis nom. nov. (Trematoda: Panopistidae), a Replacement for Glaphyrostomum soricis Found from Long-Clawed Shrews in Hokkaido, Japan, with New Data on its Intermediate Hosts

Fig. 4. The cercaria and metacercaria of Pseudoleucochloridium ainohelicis nom. nov. from Ainohelix editha. Both of the drawings are in ventral view. A) Cercaria. Scale bar 100 µm; B) Metacercaria. Scale bar 500 µm.

opencc-by-4.0Jul 2019View details →
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Fig. 1 in Pseudoleucochloridium ainohelicis nom. nov. (Trematoda: Panopistidae), a Replacement for Glaphyrostomum soricis Found from Long-Clawed Shrews in Hokkaido, Japan, with New Data on its Intermediate Hosts

Fig. 1. Frequencies of cox1 haplotypes and their statistical parsimony network in Pseudoleucochloridium ainohelicis nom. nov. All of the twelve isolates were collected in Asahikawa. The size of circles indicates the frequency of the haplotypes. Small circles show hypothetical haplotypes. The shaded circle represents the hypothetical ancestor.

opencc-by-4.0Jul 2019View details →
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Fig. 5 in Pseudoleucochloridium ainohelicis nom. nov. (Trematoda: Panopistidae), a Replacement for Glaphyrostomum soricis Found from Long-Clawed Shrews in Hokkaido, Japan, with New Data on its Intermediate Hosts

Fig. 5. The adult of Pseudoleucochloridium ainohelicis nom. nov. from Sorex unguiculatus. The drawing is in ventral view. The large suckers, M-shaped configuration of uterus, and terminally-positioned genital pore are characteristic of the genus. Scale bar 500 µm.

opencc-by-4.0Jul 2019View details →
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dasyrhachis (Miq.) Kurz var. dasyrhachis, with a male long-billed green sunbird (Nectarinia notata Müller,1776) visiting the fragrant yellow flowers (Rogers in Peltophorum dasyrhachis (Miq.) Kurz: a new record of a Southeast Asian species of Fabaceae (Caesalpinioideae) naturalized in northwestern Madagascar

dasyrhachis (Miq.) Kurz var. dasyrhachis, with a male long-billed green sunbird (Nectarinia notata Müller,1776) visiting the fragrant yellow flowers (Rogers

opencc-by-4.0Jun 2012View details →
zenodo40/100

Figure 2 in The first true millipede-1306 legs long

Figure 2. Phylogenomic estimation of the evolutionary history of colobognath millipedes. Super-elongation

opencc-by-4.0Dec 2021View details →
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Figure 1 in The first true millipede-1306 legs long

Figure 1. Te leggiest animal on the planet, Eumillipes persephone, from Australia. (A) female with 330 segments and 1,306 legs (paratype specimen, T147124). (B) ventral view of legs (male holotype, T147101). (C) dorsal view of head and ventral view of gonopods (male holotype, T147101). Scale bars, 0.5 mm.

opencc-by-4.0Dec 2021View details →
zenodo40/100

Long-term reconstruction of satellite-based precipitation, soil moisture, and snow water equivalent in China

<p>A daily 0.1<sup>&deg;</sup> dataset of precipitation (<em>P</em>), soil moisture (SM), and snow water equivalent (SWE) in 1981-2017 across China.</p>

opencc-by-4.0Dec 2021View details →
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Synthesizing Multiple Long-Term Datasets to Test Flow Ecology Relationships

<p>This database is comprised of time series of fish abundances at stream and river&nbsp;sites&nbsp;across&nbsp;the contiguous United States, along with&nbsp;associated hydrologic&nbsp;and land cover&nbsp;metrics.&nbsp;The database has been assembled in order to test hypothesized fish flow-ecology relationships across diverse species assemblages and riverine contexts.&nbsp;Methods for compilation of the database and additional information can be found in two accompanying files: &quot;SynthesizingDatasetsForFlowEcology_v1_0_0.pdf&quot; contains detailed methodology and results, and &quot;ReadMe_FishFlow_v1_0_0.csv&quot; contains information about the variables found within each database file.&nbsp;This project was funded by a US Army Corps of Engineers contract to the US Geological Survey, with a subcontract to the University of Georgia. Please note, the contract number for this project is&nbsp;G21AC10482, not&nbsp;G21AS00529 as is stated in the summary document (SynthesizingDatasetsForFlowEcology_v1_0_0.pdf).</p>

opencc-by-4.0Dec 2021View details →
zenodo40/100

A year-long keogram

<p>This image is a year-long keogram, showing the sky above the village of Dwingeloo in the Netherlands. The keogram is constructed from about 2.1 million individual exposures taken with an all-sky camera during 2021.</p> <p>The all-sky camera uses an ZWO ASI178MC color camera and a 2.5mm F/1.2 fisheye lens. The camera was operated from a Raspberry Pi 3B+ using software based on https://github.com/thomasjacquin/allsky. The exposures were obtained using automatic exposure time and gain settings based on the brightness of the previous image, where the exposure time could vary between 32 microseconds and 15 seconds, and the gain could vary between 0 and 200 (in camera units). Daytime observations were obtained with gain 0, and once the exposure time had increased to 15 seconds during evening twilight, the gain was allowed to increase to 200. During morning twilight, the gain first decreased to 0 before the exposure time was allowed to decrease. This approach maximized the total exposure on the sky.<br> <br> For each day a keogram was constructed by taking the central column of pixels of each individual exposure taken that day, ordering by time. This central column of pixels is approximately aligned with the local meridian running from South to North through Zenith. Using the timestamps of the exposures taken approximately 15 seconds apart, the keogram was interpolated in time to obtain the pixel values at minute intervals, creating a 1440 by 900 pixel keogram for each day, showing the movement of the Sun, Moon, stars and clouds through the sky. The keogram of each day was then appended in the vertical direction to create this 1440 by 329400 pixel image. A total of 366 days are appended in this keogram, from January 1, 2021 at 00:00UTC up to January 2, 2022 at 00:00UTC. Hence, the horizontal scale runs from 00:00UTC to 23:59UTC daily (left to right), while the vertical scale runs from January 1, 2021 to January 2, 2022 (top to bottom, 900 pixels per day).</p>

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

Data for: Search for long-lasting electronic coherence using on-the-fly ab initio semiclassical dynamics

<p>Data for publication: A.&nbsp;Scheidegger, J.&nbsp;Vanicek, and N.&nbsp;Golubev,&nbsp;Search for long-lasting electronic coherence using on-the-fly ab initio semiclassical dynamics,&nbsp;https://doi.org/10.1063/5.0076609</p> <p>Contains the data for reproducing&nbsp;the figures in the&nbsp;abovementioned publication.</p>

opencc-by-4.0Jan 2022View details →
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Data for Ecology Letters paper: Jack-of-all-trades paradigm meets long-term data: generalist herbivores are more widespread and locally less abundant.

<p>Data, R-code, and meta-data document for a 2022 paper in Ecology Letters that examines assumptions about associations between local abundance and dietary specialization using an 18-year dataset of caterpillar-plant interactions in Ecuador.&nbsp;</p>

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

The Social Cost of Carbon: Advances in Long-Term Probabilistic Projections of Population, GDP, Emissions, and Discount Rates

<p>This repository contains the&nbsp;socioeconomic and emissions projections generated by the Resources for the Future Socioeconomic Projections (RFF-SPs) model as discussed in Rennert et al., &quot;<a href="https://www.rff.org/publications/working-papers/the-social-cost-of-carbon-advances-in-long-term-probabilistic-projections-of-population-gdp-emissions-and-discount-rates/">The Social Cost of Carbon: Advances in Long-Term Probabilistic Projections of Population, GDP, Emissions, and Discount Rates</a>&quot;&nbsp;, forthcoming at the <em>Brookings Papers on Economic Activity</em>. The data take the form of a Monte Carlo simulation with n = 10,000 draws.</p> <p>File structure and column metadata are described here: &nbsp;</p> <p>--- &nbsp;<br> emissions/ &nbsp;<br> --- &nbsp;</p> <p>- rffsp_co2_emissions.csv &nbsp;<br> - rffsp_ch4_emissions.csv &nbsp;<br> - rffsp_n2o_emissions.csv &nbsp;</p> <p>Each file in this folder contains 3 columns: sample, year, and value. For each row: &nbsp;</p> <p>- sample contains the number identifying which draw a prediction belongs to (from 1 to 10,000). &nbsp;<br> - year contains the calendar year of the prediction. &nbsp;<br> - value contains the projected annual global emissions of the gas specified in the filename. IMPORTANT: Units are as follows:&nbsp;&quot;rffsp_co2_emissions.csv&quot; is in gigatons C (not CO2), &quot;rffsp_ch4_emissions.csv &quot; is in megatons CH4, and &quot;rffsp_n2o_emissions.csv&nbsp;&quot; is in megatons N2 (not N2O).&nbsp;</p> <p>--- &nbsp;<br> pop_income/ &nbsp;<br> --- &nbsp;</p> <p>- rffsp_pop_income_run_1.feather &nbsp;<br> - rffsp_pop_income_run_2.feather &nbsp;<br> - rffsp_pop_income_run_3.feather &nbsp;<br> .&nbsp;<br> .&nbsp;<br> .&nbsp;<br> - rffsp_pop_income_run_9999.feather &nbsp;<br> - rffsp_pop_income_run_10000.feather &nbsp;</p> <p>This folder contains 10,000 files in the .feather file format (https://arrow.apache.org/docs/python/feather.html), which is optimized for I/O speed and compressed to minimize storage requirements. Each file corresponds to one draw of our socioeconomic data, and contains 4 columns: Country, Year, Pop, and GDP. The number in each filename corresponds to the &quot;sample&quot; column in the emissions data. For each row:</p> <p>- Country contains the ISO Alpha-3 code (https://www.iso.org/iso-3166-country-codes.html) of the country whose GDP and population are projected.&nbsp;<br> - Year contains the calendar year of the predictions. &nbsp;<br> - Pop contains the projected population for a given country and year, in units of thousands of people. &nbsp;<br> - GDP contains the projected GDP for a given country and year, in units of millions of 2011 USD.&nbsp;</p> <p>---&nbsp;</p> <p>The probabilistic population projections were produced by Adrian E. Raftery and Hana &Scaron;evč&iacute;kov&aacute; (University of Washington), using the methods described by Raftery and &Scaron;evč&iacute;kov&aacute; (2021). Please cite this reference in any publications using these projections. Their research was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) under NIH grant number R01 HD-070936. &nbsp;</p> <p>The probabilistic economic and emissions projections are from Rennert et al. (forthcoming), based in part on those from M&uuml;ller, Stock, and Watson (forthcoming).&nbsp;</p> <p>---</p> <p><strong>References &nbsp;</strong></p> <p>M&uuml;ller, U.K, Stock, J.H., and Watson, M.W. (forthcoming). An Econometric Model of International Growth Dynamics for Long-Horizon Forecasting. The Review of Economics and Statistics, available online 30 October 2020. URL: <a href="https://direct.mit.edu/rest/article-abstract/doi/10.1162/rest_a_00997/97738/An-Econometric-Model-of-International-Growth">https://direct.mit.edu/rest/article-abstract/doi/10.1162/rest_a_00997/97738/An-Econometric-Model-of-International-Growth</a>&nbsp;</p> <p>Raftery, A.E. and &Scaron;evč&iacute;kov&aacute;, H. (2021). Probabilistic population forecasting: Short to very long-term. International Journal of Forecasting, available online 7 October 2021. URL: <a href="https://www.sciencedirect.com/science/article/pii/S0169207021001394">https://www.sciencedirect.com/science/article/pii/S0169207021001394</a> &nbsp;</p> <p>Rennert, K., Prest, B.C., Pizer, W., Newell, R.G., Anthoff, D., Kingdon, C., Rennels, L., Cooke, R., Raftery, A.E., &Scaron;evč&iacute;kov&aacute;, H, and Errickson, F. (forthcoming). The Social Cost of Carbon: Advances in Long-Term Probabilistic Projections of Population, GDP, Emissions, and Discount Rates. Brookings Papers on Economic Activity. Available online 27 October 2021. URL: <a href="https://www.rff.org/publications/working-papers/the-social-cost-of-carbon-advances-in-long-term-probabilistic-projections-of-population-gdp-emissions-and-discount-rates/">https://www.rff.org/publications/working-papers/the-social-cost-of-carbon-advances-in-long-term-probabilistic-projections-of-population-gdp-emissions-and-discount-rates/ </a></p>

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

The Impact of an Open Water Balance Assumption on Understanding the Factors Controlling the Long-term Streamflow Components

<p>The excel file&nbsp;<em>Attributes_manuscript.csv</em> contains the mean annual variables and the catchments&#39; attributes used in the manuscript: &quot;<strong>The Impact of an Open Water Balance Assumption on Understanding the Factors Controlling the Long-term Streamflow Components</strong>&quot;. Details of each attributes are indicated in the .txt file <em>Attributes_description.txt</em>.</p>

opencc-by-4.0Jan 2022View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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Your academic CV and NIH biosketch

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