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2,318 results for “Synthesis”

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zenodo36/100

Figure 86 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report

Figure 86: Correlation between the surface area and maximum depth of lakes surveyed in Projet Lac.

opencc-by-4.0Nov 2021View details →
zenodo36/100

Fish species reported to occur in the lake but not recorded in Projet Lac in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report

Fish species reported to occur in the lake but not recorded in Projet Lac

opencc-by-4.0Nov 2021View details →
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Figure 69 c in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report

Figure 69 c)

opencc-by-4.0Nov 2021View details →
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Figure 68 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report

Figure 68: Fish from Projet Lac being prepared by museum staff for long-term preservation.

opencc-by-4.0Nov 2021View details →
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Figure 64 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report

Figure 64: Electrofishing from boat (left) and by wading (right).

opencc-by-4.0Nov 2021View details →
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Figure 45 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report

Figure 45: Diversity of Salmo spp recorded in Projet Lac.

opencc-by-4.0Nov 2021View details →
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Figure 69 b in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report

Figure 69 b

opencc-by-4.0Nov 2021View details →
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Figure 48 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report

Figure 48: The three forms of Salvelinus in Swiss lakes described by Konrad Gessner in 1575.

opencc-by-4.0Nov 2021View details →
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Figure 57 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report

Figure 57: Extremes of variation in fin colour in Perca fluviatilis within and among lakes.

opencc-by-4.0Nov 2021View details →
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Figure 60 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report

Figure 60: An example of a littoral habitat map from Lake Bret.

opencc-by-4.0Nov 2021View details →
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Figure 2 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report

Figure 2: Example of the distribution of sampling actions throughout a lake (Constance Untersee).

opencc-by-4.0Nov 2021View details →
zenodo36/100

Data for article "Synthesis of Four-Membered BN3 Heterocycles by the Borylation of Triazenes"

<p>This upload contains raw data (NMR, X-Ray, Elemental Analysis, Fluorescence) files for the article:&nbsp;</p> <p>A. A. Suleymanov, R. Scopelliti, K. Severin,&nbsp;</p> <p>&quot;Synthesis of Four-Membered BN3 Heterocycles by the Borylation of Triazenes&quot;</p> <p><em>Inorg. Chem.&nbsp;</em><strong>2022</strong>, DOI: 10.1021/acs.inorgchem.1c03309</p>

opencc-by-4.0Jan 2022View details →
zenodo36/100

raw data for the article "Synthesis of Polycyclic Aminal Heterocycles via Decarboxylative Cyclisation of Dipeptide Derivatives"

<p>Raw NMR, IR and MS&nbsp; data for the article &quot;Synthesis of Polycyclic Aminal Heterocycles via Decarboxylative Cyclisation of Dipeptide Derivatives&quot; published in Chemical Communications, DOI:&nbsp;</p> <p><a href="https://doi.org/10.1039/D2CC00167E">https://doi.org/10.1039/D2CC00167E</a></p> <p>The number of the folders correspond to compounds numbers in the article. All details concerning conditions and equipment for measurements can be found in the supporting information of the article.</p>

opencc-by-4.0Feb 2022View details →
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Synthesis, Herbicidal Activity, Crop Safety and Soil Degradation of Pyrimidine- and Triazine-Substituted Chlorsulfuron Derivatives Supplementary Information

<p>The content include&nbsp;SI1-Melting points, 1H-NMR, 13C-NMR and HRMS of W103-W111,&nbsp;SI2-Crystal data of compound W110(CCDC number 2142702),&nbsp;SI3-Biological assay and crop safety,&nbsp;SI4-Soil degradation assay,&nbsp;SI5-Report of soil analysis in Chinese, and&nbsp;SI6-Report of soil analysis in English.</p>

opencc-by-4.0Feb 2022View details →
zenodo36/100

Distance decay 2.0 – a global synthesis of taxonomic and functional decay in ecological communities

<p>Datasets used in the analysis of the manuscript&nbsp;by Graco-Roza, C., Aarnio, S., Abrego, N., Acosta, A. T., Alahuhta, J., Altman, J., ... &amp; Soininen, J. (2022). Distance decay 2.0&ndash;a global synthesis of taxonomic and functional turnover in ecological communities.<em> Global Ecology and Biogeography.</em></p> <p>&nbsp;</p> <p><strong>raw_data.zip -&nbsp;</strong>Includes the raw datasets used in the analysis.&nbsp;</p> <p><strong>processed_data.xlsx -&nbsp;</strong>Includes the results from the distance decay analysis, specifically:&nbsp;</p> <p>- Dataset : dataset code (same as in raw_data)</p> <p>- Beta_type: The component of beta diversity (i.e., total similarity, replacement, richness differences)</p> <p>- Level : Taxonomic (TAX) or functional (FUN)</p> <p>- Based: Occurrence (occ) or Abundance (abund)</p> <p>- Organism: Code used to describe organisms (see Appendix S1 of the paper)</p> <p>- Realm: Aquatic, Terrestrial, or Freshwaters</p> <p>- Body_size&nbsp;</p> <p>- Dispersal_mode: Seeds, Passive or Active</p> <p>- Latitude: Mean latitude of the dataset (average of all data points)</p> <p>- Latitude_range Distance in kilometres between the two vertically most distant&nbsp;points.</p> <p>- Longitude_range:&nbsp;&nbsp;Distance in kilometres between the two horizontally&nbsp;most distant&nbsp;points.</p> <p>- spa_min: minimum distance between sites (in kilometres)&nbsp;</p> <p>- spa_mean: average distance between sites (in kilometres)&nbsp;</p> <p>- spa_max: maximum distance between sites (in kilometres)</p> <p>- ext: area in kilometres covered by all sites in the dataset</p> <p>- n_sites: Number of sites in each dataset</p> <p>- n_var: Number of environmental variables in each dataset</p> <p>- gamma_spe: Number of species observed in each dataset</p> <p>- gamma_trait: Volume of the hypervolume constructed using the traits in each dataset</p> <p>- n_traits: Number of traits in each dataset</p> <p>- Intercept_spa:&nbsp; Intercept of GLM including community similarity and spatial distances</p> <p>- Slope_Spa:&nbsp;Slope of GLM including community similarity and spatial distances</p> <p>- R2_spa: R&sup2;&nbsp;of GLM including community similarity and spatial distances</p> <p>- Intercept_env:&nbsp;&nbsp; Intercept of GLM including community similarity and environmental distances</p> <p>- Slope_env:&nbsp; Slope of GLM including community similarity and environmental distances</p> <p>- R2_env:&nbsp; R&sup2; of GLM including community similarity and environmental distances</p> <p>- Mantel_spa: Mantel statistics of community similarity and spatial distances</p> <p>- spa_signif: Significance of Mantel statistics considering community similarity and spatial distances</p> <p>- Mantel_env:&nbsp;Mantel statistics considering community similarity and environmental distances</p> <p>- env_signif:&nbsp;Significance of Mantel statistics considering community similarity and environmental&nbsp;distances</p> <p><strong>Null_models.zip -&nbsp;</strong>Includes the results from the null models for each dataset.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-zeroMar 2022View details →
dryad36/100

Synthesis of batrachochytrium dendrobatidis infection in South America: amphibian species under risk and areas to focus research and disease mitigation

<p>Amphibian chytridiomycosis, caused by Batrachochytrium dendrobatidis (Bd), has been recognized as the infectious disease causing the most catastrophic loss of biodiversity known to science, with South America being the most impacted region. We tested whether Bd prevalence is distributed among host taxonomy, ecoregion, conservation status and habitat preference in South America. Here we provide a synthesis on the extent of Bd infection across South America based on 21,648 molecular diagnostic assays, roles of certain species in the epidemiology of Bd and explore its association with the reported amphibian catastrophic declines in the region. We show that Bd is widespread, with a continental prevalence of 23.2%. Its occurrence in the region shows a phylogenetic signal and the probability of infection is determined by ecoregion, preferred habitat, and extinction risk hosts' traits. The taxa exhibiting highest Bd occurrence, were mostly aquatic amphibians, including Ranidae, Telmatobiidae, Hylodidae, Calyptocephalellidae and Pipidae. Surprisingly, families exhibiting unusually low Bd prevalence included species in which lethal chytridiomycosis and population declines have been described (genus Atelopus, Rhinoderma and Eleutherodactylus). Higher than expected prevalence of Bd occurred mainly in amphibians living associated with mountain environments in the Andes and Atlantic forests, reflecting highly favourable Bd habitats in these areas. Invasive amphibian species (e.g. Lithobates catesbeianus and Xenopus laevis) exhibited high Bd prevalence, as thus we suggest using these as sentinels to understand their potential role as reservoirs, vectors or spreaders of Bd that can be subjected to management. Our results guide on the prioritization of conservation actions to prevent further biodiversity loss due to chytridiomycosis in the world's most amphibian diverse region.</p>

opencc-zeroApr 2022View details →
dryad36/100

A synthesis of nitric oxide emissions across global fertilized croplands from crop-specific emission factors

<p><span>Nitrogen (N)-fertilizer application to agricultural soils results in substantial emissions of nitric oxide (NO), a key substance in tropospheric chemistry involved in climate forcing and air pollution. </span><span>However, estimates of global cropland NO emissions remain uncertain due to a lack of information on direct NO emission factors (EF<sub>d<sup>s</sup></sub>) of applied N for variours cropping systems at seasonal or annual scales. Here we quantified the crop-specific seasonal and annual-scale NO EF<sub>d<sup>s</sup></sub> through synthesizing </span><span>1094 measurements from 125 field-based studies worldwide. </span><span>The global mean crop-specific seasonal EF<sub>d</sub> was 0.53%, with the highest for vegetables (0.75%). Among cereal crops, the EF<sub>d</sub> of maize (0.45%) or wheat (0.47%) was about three-times higher than for rice (0.12%). At annual scale, the mean EF<sub>d</sub> across all cropping systems was</span><span> 0.58%, with tea plantations having the highest (1.54%). For other cropping systems, the annual-scale EF<sub>d<sup>s</sup></sub> ranged from 0.02% to 1.07%. Besides crop type, also soil organic carbon, total N and pH as well as N fertilizer type were the main factors explaining the variations of NO EF<sub>d<sup>s</sup></sub>. Based on obtained specific EF<sub>d<sup>s</sup></sub> for each crop type, we estimated that NO emissions due to the use of synthetic fertilizers from global croplands are about 0.42–0.62 Tg N yr<sup>−1</sup>. Our budgets are relatively lower if compared to estimates derived by the use of IPCC defaults for NO emissions (0.72–1.66 Tg N yr<sup>−1</sup>) or reported elsewhere (0.67–1.04 Tg N yr<sup>−1</sup>). In our estimates, cash crops (vegetable, tea and orchard), which cover only 9% of the world cropland area, contributed about 31% to total NO emissions from global fertilized croplands. Overall, our meta-analysis provides improved crop-specific NO EF<sub>d<sup>s</sup></sub> reflecting current stage of knowledge. The work also highlights the relative importance of cash crop production as sources for atmospheric NO, i.e., agricultural systems on which mitigation efforts may focus</span><span>.</span></p>

opencc-zeroApr 2022View details →
dryad36/100

Dataset: A global synthesis of human impacts on the multifunctionality of streams and rivers

<p><span>Human impacts, particularly nutrient pollution and land-use change, have caused significant declines in the quality and quantity of freshwater resources. Most global assessments have concentrated on species diversity and composition, but effects on the multifunctionality of streams and rivers remain unclear. Here, we analyse the most comprehensive compilation of stream ecosystem functions to date to provide an overview of the responses of nutrient uptake, leaf litter decomposition, ecosystem productivity, and food web complexity to six globally pervasive human stressors. We show that human stressors inhibited ecosystem functioning for most stressor-function pairs. Nitrate uptake efficiency was most affected and was inhibited by 347% due to agriculture. However, concomitant negative and positive effects were common even within a given stressor-function pair. Some part of this variability in effect direction could be explained by the structural heterogeneity of the landscape and latitudinal position of the streams. Ranking human stressors by their absolute effects on ecosystem multifunctionality revealed significant effects for all studied stressors, with wastewater effluents (194%), agriculture (148%), and urban land use (137%) having the strongest effects. Our results demonstrate that we are at risk of losing the functional backbone of streams and rivers if human stressors persist in contemporary intensity, and that freshwaters are losing critical ecosystem services that humans rely on. We advocate for more studies on the effects of multiple stressors on ecosystem multifunctionality to improve the functional understanding of human impacts. Finally, freshwater management must shift its focus towards an ecological function-based approach and needs to develop strategies for maintaining or restoring ecosystem functioning of streams and rivers.</span></p>

opencc-zeroApr 2022View details →
zenodo36/100

A quantitative synthesis of soil microbial effects on plant species coexistence: code and data

<p>This release contains data and code to conduct all analyses in Yan et al. &quot;A quantitative synthesis of soil microbial effects on plant species coexistence&quot;.</p>

openother-openMay 2022View details →
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Mobile Synthesis Unit (MOBSU) plant

<p>This video describes the ICO2CHEM concept for delivering synthetic fuels and chemicals from waste CO2 and H2,&nbsp;and shows the MOBSU plant running in the Industrial Park Infraserv Hoechst in Frankfurt am Main, Germany.&nbsp;</p>

opencc-by-4.0May 2022View details →

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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