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29,897 results for “activism”

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zenodo36/100

Fig. 4 in Habitat and seasonal activity patterns of the terrestrial isopods (Isopoda: Oniscidea) of Belgium

Fig. 4. Corrected number of observations per two-month period for Ligidium hypnorum (N = 345).

opencc-by-4.0Dec 1908View details →
zenodo36/100

World Odonata List (ODO) - active: World Odonata Species List

Species List from World Odonata List version 20 April 2017. <p></p>https://www.pugetsound.edu/academics/academic-resources/slater-museum/biodiversity-resources/dragonflies/world-odonata-list2/<p></p>Species List from World Odonata List Version 6 September 2018, with higher classification. <p></p>https://www.pugetsound.edu/academics/academic-resources/slater-museum/biodiversity-resources/dragonflies/world-odonata-list2/ The Encyclopedia of Life (EOL, eol.org) aggregates biodiversity information from more than 400 sources and provides access to the data through taxon pages, visual query and application programming interfaces. Scientific names are essential elements of the data integration infrastructure, but their shortcomings as key identifiers are well documented (Patterson et al., 2016). Complex automated workflows and continuous manual curation are required to address idiosyncrasies of source taxonomies, variation in data quality, and conflicting taxonomic opinions. To achieve a harmonized taxonomic view of EOL content, names from data sources are mapped to a dynamic reference hierarchy ([see current version here](<p></p>https://opendata.eol.org/dataset/tram-807-808-809-810-dh-v1-1/resource/00adb47b-57ed-4f6b-8f66-83bfdb5120e8)) using an algorithm that leverages canonical name strings, hierarchical information (ancestry, descendants), taxonomic ranks, synonym data, and author strings. Names that cannot be associated with a reference taxon are still accessible, but their unmapped status excludes them and any associated content from certain core EOL functions. For more information about the EOL taxonomy, see [EOL Dynamic Hierarchy](<p></p>https://eol.org/docs/eol-dynamic-hierarchy)

opennotspecifiedAug 2024View details →
zenodo36/100

World Odonata List (ODO) - active: Odonata species & higher classification (ODO)

Species List from World Odonata List version 20 April 2017. <p></p>https://www.pugetsound.edu/academics/academic-resources/slater-museum/biodiversity-resources/dragonflies/world-odonata-list2/<p></p>Species based on World Odonata List version 10 August 2020 The Encyclopedia of Life (EOL, eol.org) aggregates biodiversity information from more than 400 sources and provides access to the data through taxon pages, visual query and application programming interfaces. Scientific names are essential elements of the data integration infrastructure, but their shortcomings as key identifiers are well documented (Patterson et al., 2016). Complex automated workflows and continuous manual curation are required to address idiosyncrasies of source taxonomies, variation in data quality, and conflicting taxonomic opinions. To achieve a harmonized taxonomic view of EOL content, names from data sources are mapped to a dynamic reference hierarchy ([see current version here](<p></p>https://opendata.eol.org/dataset/tram-807-808-809-810-dh-v1-1/resource/00adb47b-57ed-4f6b-8f66-83bfdb5120e8)) using an algorithm that leverages canonical name strings, hierarchical information (ancestry, descendants), taxonomic ranks, synonym data, and author strings. Names that cannot be associated with a reference taxon are still accessible, but their unmapped status excludes them and any associated content from certain core EOL functions. For more information about the EOL taxonomy, see [EOL Dynamic Hierarchy](<p></p>https://eol.org/docs/eol-dynamic-hierarchy)

opennotspecifiedAug 2024View details →
zenodo36/100

EOL Dynamic Hierarchy: EOL Dynamic Hierarchy Active Version

<p>Dynamic Hierarchy version that is currently active on the&nbsp;<a title="EOL" href="http://eol.org/">EOL</a> site.<span>&nbsp;</span></p> <p><span>The Encyclopedia of Life (EOL, <a title="eol.org" href="http://eol.org/">eol.org</a>) aggregates biodiversity information from more than 400 sources and provides access to the data through taxon pages, visual query and application programming interfaces. Scientific names are essential elements of the data integration infrastructure, but their shortcomings as key identifiers are well documented. Complex automated workflows and continuous manual curation are required to address idiosyncrasies of source taxonomies, variation in data quality, and conflicting taxonomic opinions. To achieve a harmonized taxonomic view of EOL content, names from data sources are mapped to a dynamic reference hierarchy</span><span> using an algorithm that leverages canonical name strings, hierarchical information (ancestry, descendants), taxonomic ranks, synonym data, and author strings. Names that cannot be associated with a reference taxon are still accessible, but their unmapped status excludes them and any associated content from certain core EOL functions. For more information about the EOL taxonomy, see <a title="EOL Dynamic Hierarchy" href="https://eol.org/docs/eol-dynamic-hierarchy" target="_blank" rel="noopener">EOL Dynamic Hierarchy</a></span></p>

openother-pdAug 2024View details →
zenodo36/100

World Odonata List (ODO) - active: World Odonata List

Species List from World Odonata List version 20 April 2017. <p></p>https://www.pugetsound.edu/academics/academic-resources/slater-museum/biodiversity-resources/dragonflies/world-odonata-list2/<p></p>Species List from World Odonata List version 20 April 2017. <p></p>https://www.pugetsound.edu/academics/academic-resources/slater-museum/biodiversity-resources/dragonflies/world-odonata-list2/ The Encyclopedia of Life (EOL, eol.org) aggregates biodiversity information from more than 400 sources and provides access to the data through taxon pages, visual query and application programming interfaces. Scientific names are essential elements of the data integration infrastructure, but their shortcomings as key identifiers are well documented (Patterson et al., 2016). Complex automated workflows and continuous manual curation are required to address idiosyncrasies of source taxonomies, variation in data quality, and conflicting taxonomic opinions. To achieve a harmonized taxonomic view of EOL content, names from data sources are mapped to a dynamic reference hierarchy ([see current version here](<p></p>https://opendata.eol.org/dataset/tram-807-808-809-810-dh-v1-1/resource/00adb47b-57ed-4f6b-8f66-83bfdb5120e8)) using an algorithm that leverages canonical name strings, hierarchical information (ancestry, descendants), taxonomic ranks, synonym data, and author strings. Names that cannot be associated with a reference taxon are still accessible, but their unmapped status excludes them and any associated content from certain core EOL functions. For more information about the EOL taxonomy, see [EOL Dynamic Hierarchy](<p></p>https://eol.org/docs/eol-dynamic-hierarchy)

opennotspecifiedAug 2024View details →
zenodo36/100

Neutron activation analysis data of pottery from Cerro Baul, Cerro Mejia, and Conchopata, Peru

<p>Neutron activation analysis data of pottery from Cerro Baul and Cerro Mejia, Moquegua Department, and Conchopata, Ayacucho Department, Peru.</p>

opencc-by-nc-4.0Jul 2024View details →
zenodo36/100

Neutron activation analysis data of pottery from La Viña, Tambo Real, and other sites in Lambeyeque, Peru

<p>Neutron activation analysis data of pottery from La Vi&ntilde;a, Tambo Real, T&uacute;cume, Jotoro, Julupe, Cerro Cementerios, 257X01, and 2839X05, in Lambeyeque Department, Peru.</p>

opencc-by-nc-4.0Jul 2024View details →
zenodo36/100

Neutron activation analysis data of pottery and clays from Marcaya, Aja Taruca, Trancas, Uchuchuma, Upanca, Santa Luisa, Higosnoc, and other sites in the Nasca Region, Peru

<p>Neutron activation analysis data of pottery and clays from Marcaya, Aja Taruca, Trancas, Uchuchuma, Upanca, Santa Luisa, Higosnoc, and other sites in the Nasca Region, Ica Department, Peru.</p>

opencc-by-nc-4.0Aug 2024View details →
zenodo36/100

How physical activity opportunities seized by adolescents differ between Europe and the Pacific Islands: the example of France and New Caledonia

<p><strong><span>Background</span></strong></p> <p><span>France (FR) and New Caledonia (NC) are both French territories, one in Western Europe, the other as part of the Pacific <a name="_Hlk172132305"></a>Island Countries and Territories (PICTs). Despite schooling in similar educational systems, FR and NC adolescents develop distinct relationships with physical activity, which is influenced by the geographical-cultural and symbolic structures of their respective societies. This study explored the distribution of physical activity according to geographical culture and opportunity-temporal dimensions.</span></p> <p><strong><span>Methods</span></strong></p> <p><span>Participants were randomly selected, with individual (boys vs. girls), spatial (rural vs. urban), and geographical (FR vs. NC) stratifications. Accelerometers and daily logbooks were used to measure the physical activity intensity and opportunities during the week.</span></p> <p><strong><span>Results</span></strong></p> <p><span>A total of 156 participants were included in this study. A significant effect was found in moderate to vigorous physical activity (MVPA) intensity with the geographical-cultural dimension; participants living in FR were more likely to engage in MVPA, especially in five opportunities: school, supervised leisure, home, school breaks, and transport. For both FR and NC adolescents, physical education lessons had the highest MVPA.</span></p> <p><strong><span>Conclusion</span></strong></p> <p><span>This study showed that MVPA differed in the same national educational system according to geographical culture. Physical education lessons could catch the challenge of an &ldquo;opportunity education&rdquo; (opportunities are defined as temporal invitations to engage in PA) by opening the door to two particular opportunities: supervised leisure and active transport.</span></p>

opencc-by-4.0Aug 2024View details →
zenodo36/100

Hydrolysis of SeCN and SCN in the active site of TcDH: QM/MM stationary points

<p>Equilibrium geometry configurations of the enzyme-substrate complexes (ES), transition states (TS) and reaction products (EP) for the SeCN and SCN hydrolysis in the active site of the TcDH enzyme calculated at the QM(uPBE0-D3/6-31G**)/MM(AMBER99 level) using NWChem software. The "qm" in the file name denotes that only QM part is included.</p>

opencc-by-4.0Aug 2024View details →
zenodo36/100

Neutron activation analysis data of pottery from Santa Rosa, Valencia, Descanse, San Carlos, and Yunguillo, Colombia

<p>Neutron activation analysis data of pottery from Santa Rosa, Valencia, Descanse, San Carlos, and Yunguillo, Cauca Department, Colombia.</p>

opencc-by-nc-4.0Aug 2024View details →
zenodo36/100

Neutron activation analysis data of pottery from El Azucar, Estero Cecilia, Loma de los Cangrejitos, and other sites in Ecuador

<p>Neutron activation analysis data of pottery from El Azucar, Valdivia Village, Tambo River, San Rafael, Loma de los Cangrejitos, and other sites in Santa Elena Province, Estero Cecilia, Palmito, and Santa Maria in Guayas Province, Salango in Manab&iacute; Province, and Arenillas in Oro Province, Ecuador.</p>

opencc-by-nc-4.0Aug 2024View details →
zenodo36/100

Neutron activation analysis data of pottery from Palmitopamba and other sites, Ecuador

<p>Neutron activation analysis data of pottery from Palmitopamba and other sites, Pichincha Province, Ecuador.</p>

opencc-by-nc-4.0Aug 2024View details →
zenodo36/100

User Generated Content (EOL v2): user activity collections (json format)

<p></p>https://eol-jira.bibalex.org/browse/DATA-1780 Data as of Oct 28, 2018 For questions or use cases calling for large, multi-use aggregate data files, please visit the EOL Services forum at <p></p>http://discuss.eol.org/c/eol-services

opennotspecifiedAug 2024View details →
zenodo36/100

User Generated Content (EOL v2): user activity collections

<p></p>https://eol-jira.bibalex.org/browse/DATA-1780 Data as of Oct 28, 2018 For questions or use cases calling for large, multi-use aggregate data files, please visit the EOL Services forum at <p></p>http://discuss.eol.org/c/eol-services

opennotspecifiedAug 2024View details →
zenodo36/100

HPTLC Data of "Metal Ion Cofactors Modulate Integral Enzyme Activity By Varying Differential Membrane Curvature Stress"

<p>Lipid hydrolysis by the integral membrane protein OmpLA (outer membrane phospholipase). The enzymatic degradation of the proteoliposomes was determined by TLC. After lipid extraction against organic solvent (2:1 vol/vol chloroform/methanol) based on the Folch extraction method, the samples were spotted on a silica plate (Sigma-Aldrich, Steinheim, Germany) with the automatic TLC sampler 4 (CAMAG, Muttenz, Switzerland). The mobile phase in the developing chamber was a solvent mixture composed of 32.5:12.5:2 vol/vol/vol CHCl_3/MeOH/H_2O. After drying, the plate was immersed in a developing bath (5.08 g MnCl_2 dissolved in 480 ml H_2O, 480 ml EtOH and 32 ml H_2SO_4), which is sensitive to double bonds, and dried for 15 min at 120&deg;C. To quantify the lipid concentrations the plate was scanned with the TLC scanner 3 (CAMAG, Muttenz, Switzerland) and further analyzed with WinCats software.</p> <p>Lipids:</p> <ul> <li>1-palmitoyl-2-oleoyl-<em>sn</em>-glycero-3-phosphocholine (POPC)</li> <li>1-palmitoyl-2-oleoyl-<em>sn</em>-glycero-3-phosphoethanolamine (POPE)</li> <li>1-palmitoyl-2-oleoyl-<em>sn</em>-glycero-3-phosphoglycerol (POPG)</li> </ul>

opencc-by-4.0Aug 2024View details →
zenodo36/100

Lipid-polymer nanoparticles to probe the native-like environment of intra-membrane rhomboid protease GlpG and its activity

<p><span>Polymers can facilitate detergent-free extraction of membrane proteins into nanodiscs (e.g., SMALPs, DIBMALPs), incorporating both integral membrane proteins as well as co-extracted native membrane lipids. Lipid-only SMALPs and DIBMALPs have been shown to possess a unique property; the ability to exchange lipids through &lsquo;collisional lipid mixing&rsquo;<em>.</em> Here we expand upon this mixing to include protein-containing DIBMALPs, using the rhomboid protease GlpG. Through lipidomic analysis before and after incubation with DMPC or POPC DIBMALPs, we show that lipids are rapidly exchanged between protein and lipid-only DIBMALPs, and can be used to identify bound or associated lipids through &lsquo;washing-in&rsquo; exogenous lipids. Additionally, through the requirement of rhomboid proteases to cleave intra-membrane substrates, we show that this mixing can be performed for two protein-containing DIBMALP populations, assessing the native function of intramembrane proteolysis and demonstrating that this mixing has no deleterious effects on protein stability or structure</span></p>

opencc-by-4.0Aug 2024View details →
zenodo36/100

Research data for the article "Membrane-Active Antibiotics Affect Domains in Bacterial Membranes as the First Step of Their Activity" by Adéla Melcrová, Christiaan Klein, and Wouter Roos, Nano Letters 2024.

<p>Research data for the publication Membrane-Active Antibiotics Affect Domains in Bacterial Membranes as the First Step of Their Activity, Nano Letters, 2024. <a href="https://doi.org/10.1021/acs.nanolett.4c01873" target="_blank" rel="noopener">https://doi.org/10.1021/acs.nanolett.4c01873</a></p> <p>The data set contains experimental data on the study of antimicrobial N-alkylamide 3d and its interaction with the membrane extracted from the bacteria Staphylococcus aureus. Experimental details can be found in the Methods section of the Supporting Information of the mentioned article.&nbsp;</p> <p>The data set contains underlying data for each Figure in the publication including the figures in the Supporting Information.&nbsp;</p> <ul> <li>Figure 1, S2, S3, S6, S8 -&nbsp;Atomic Force Microscopy images in the raw format as collected on JPK Nano Wizard Ultra Speed AFM.</li> <li>Figure 2, 3, S1 - High-Speed Atomic Force Microscopy images in the raw format as collected on high-speed AFM RIBM machine. The data could be opened in Kodec software. The full trajectories recorded on the high-speed AFM machine are presented here. Only snapshots were used in the publication Figures.</li> <li>Figure S7, S9 - Snapshots from the High-Speed AFM measurements showing the cross-section lines (.bmp) together with the cross-section profiles (.csv) that were used to measure the height of supramolecular structures on top of the bacterial membrane.</li> <li>Data underlying Figure S5 and Supporting Video 1 overlap with the data presented in Figure 2a.</li> </ul>

opencc-by-4.0Aug 2024View details →
zenodo36/100

Mid-crustal low-velocity zones beneath Southeastern Coastal China revealed by multimodal ambient noise tomography: insights into Mesozoic Magmatic Activities

<p><span>It contains Rayleigh dispersion data &nbsp;</span><span>and</span><span> a three</span><span>-</span><span>dimensional crustal shear</span><span>-</span><span>wave velocity model of the Southeastern Coastal China </span><span>(</span><span>SCC</span><span>)</span><span>.</span></p>

opencc-by-4.0Sep 2024View details →
zenodo36/100

Neutron activation analysis data of pottery from the Purísima Concepción shipwreck, Argentina

<p>Neutron activation analysis data of pottery from the Pur&iacute;sima Concepci&oacute;n shipwreck, Tierra del Fuego Province, Argentina.</p>

opencc-by-nc-4.0Aug 2024View 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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