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PUDL Raw EIA Form 176 -- Annual Report of Natural and Supplemental Gas Supply and Disposition
<p>The EIA Form 176, also known as the Annual Report of Natural and Supplemental Gas Supply and Disposition, describes the origins, suppliers, and disposition of natural gas on a yearly and state by state basis. Archived from <a href="https://www.eia.gov/naturalgas/ngqs/">https://www.eia.gov/naturalgas/ngqs/</a></p> <p>This archive contains raw input data for the Public Utility Data Liberation (PUDL) software developed by <a href="https://catalyst.coop">Catalyst Cooperative</a>. It is organized into <a href="https://specs.frictionlessdata.io/data-package/">Frictionless Data Packages</a>. For additional information about this data and PUDL, see the following resources: </p><ul> <li><a href="https://github.com/catalyst-cooperative/pudl">The PUDL Repository on GitHub</a></li> <li><a href="https://catalystcoop-pudl.readthedocs.io">PUDL Documentation</a></li> <li><a href="https://zenodo.org/communities/catalyst-cooperative/">Other Catalyst Cooperative data archives</a></li> </ul> <p></p>
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Data for "Measurement report: Comparison of airborne in-situ measured, lidar-based, and modeled aerosol optical properties in the Central European background – identifying sources of deviations"
<p>A unique set of data is presented, derived from measurements conducted at the rural central European observatory at Melpitz, Germany. Data derived from remote sensing (lidar), airborne platforms (helicopter, balloon), and ground-based in-situ methods is included. Measured and Mie-modeled optical aerosol parameters are presented in the dry- and ambient state. Modeled optical parameters are based on Mie-theory. For ambient state hygroscopic growth simulations are utilized.</p>
Le iniziative collegate ad Agenda 2030 attuate e in programma nelle biblioteche dell'Emilia-Romagna. Report dell'indagine 2020-2021
<p>[ENG] Report of the survey carried out by the Emilia-Romagna regional section of the Italian Library Association (AIB) in 2020-2021. The survey aimed at mapping the initiatives, planned or developed by the libraries located in Emilia-Romagna, in order to contribute to the United Nations 2030 Agenda Sustainable Development Goals (SDGs). The project also intended to help work out a tool for similar surveys to be carried out in other Italian regions. </p> <p>[ITA] Rapporto dell'indagine condotta negli anni 2020-2021 dalla Sezione Emilia-Romagna dell'Associazione Italiana Biblioteche (AIB). L'indagine mirava a mappare le iniziative svolte o in programma nelle biblioteche dell'Emilia-Romagna al fine di contribuire agli Obiettivi di sviluppo sostenibile (SDGs) dell'Agenda 2030 delle Nazioni Unite. Il progetto intendeva anche supportare l'elaborazione di uno strumento utile ad indagini simili da svolgere in altre regioni italiane.</p> <p> </p>
META-DATA for IEA Wind Task 46 report: Atmospheric drivers of wind turbine blade leading edge erosion: Hydrometeors
<p>The objectives of the work summarized in the report that accompanies this dataset are to:</p> <ul> <li>Describe crucial meteorological parameters for wind turbine blade leading edge erosion</li> <li>Describe technologies appropriate to measurement of hydroclimates and specifically hydrometeor size distributions and phase</li> <li>Identify available data sets that are available to describe hydrometeor size distributions and phase and generate meta-data for data sets available for use in mapping wind turbine blade leading edge erosion potential. This dataset summarizes those meta-data. </li> <li>Identify priority geographic areas for geospatial mapping of wind turbine blade leading edge erosion potential <p> </p> </li> </ul>
Fig. 49 in A Report on Coralliidae (Cnidaria: Octocorallia) Specimens Collected from the Emperor Seamounts with Descriptions of Three New Species
Fig. 49. Hemicorallium muzikae sp. nov., holotype, NSMT-Co 1738. Scale bar: 20 mm.
Fig. 46 in A Report on Coralliidae (Cnidaria: Octocorallia) Specimens Collected from the Emperor Seamounts with Descriptions of Three New Species
Fig. 46. Surface detail of Hemicorallium kaiyo sp. nov., NSMT-Co 1737. Scale bar: 1.0 mm.
Fig. 42 in A Report on Coralliidae (Cnidaria: Octocorallia) Specimens Collected from the Emperor Seamounts with Descriptions of Three New Species
Fig. 42. Hemicorallium cf. sulcatum, NSMT-Co 1735. Composition of sclerites from each part sampled.
Fig. 28 in A Report on Coralliidae (Cnidaria: Octocorallia) Specimens Collected from the Emperor Seamounts with Descriptions of Three New Species
Fig. 28. Hemicorallium laauense, NSMT-Co 1731. Composition of sclerites from each part sampled.
Fig. 31 in A Report on Coralliidae (Cnidaria: Octocorallia) Specimens Collected from the Emperor Seamounts with Descriptions of Three New Species
Fig. 31. Hemicorallium laauense, NSMT-Co 1732. Composition of sclerites from each part sampled.
Fig. 35 in A Report on Coralliidae (Cnidaria: Octocorallia) Specimens Collected from the Emperor Seamounts with Descriptions of Three New Species
Fig. 35. Hemicorallium cf. regale, NSMT-Co 1733. Composition of sclerites from each part sampled.
Fig. 24 in A Report on Coralliidae (Cnidaria: Octocorallia) Specimens Collected from the Emperor Seamounts with Descriptions of Three New Species
Fig. 24. Hemicorallium laauense, NSMT-Co 1730. Composition
Fig. 18. A in A Report on Coralliidae (Cnidaria: Octocorallia) Specimens Collected from the Emperor Seamounts with Descriptions of Three New Species
Fig. 18. A cross section of branch base of H. cf. abyssale, NSMT- Co 1729. Scale bar: 1.0 mm.
Fig. 2 in The First Report of the Feather Mite Pseudalloptinus milvulinus (Acariformes: Pterolichidae) from the Black Kite Milvus migrans in Japan
Fig. 2. Pseudalloptinus milvulinus, male (MPM Coll. No. 21696a). A, Dorsal view; B, ventral view.
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.
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
Figure 69 c in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 69 c)
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.
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).
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.
ScienceDex guides
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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.