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The dataset consists of a full morphosyntactic annotation of the normalized letter corpus of the State Archives of Assyria online (SAAo), plus associated metadata regarding sender, recipient, estimated date of composition, script, and dialect of Akkadian (if determinable). This corpus comprises ten of the twenty-one current volumes of SAAo and contains approximately 2600 letters from the royal archives of the late Neo-Assyrian kings. Each letter features morphosyntactic annotations specifying part of speech, lemma, morphological decomposition, and syntactic dependencies of all relevant tokens in the text. The annotations were made with the help of a spaCy language model with additional human checking and completion. The annotations are available both as a set of CONLLU files (one per text) and as linked open data in a single TTL file. The associated metadata is available as a CSV file and a TTL. Due to the letters' shared format, topics of concern, and historical period in which they were written, this corpus forms a natural object of study from a linguistic and social historical perspective. It is hoped this data will be of use to researchers wishing to do linguistic and sociolinguistic corpus research on these texts. 

This dataset contains the extended version of the authors' earlier work: https://zenodo.org/records/6507872, where pairs of news articles drawn from the first half of 2020 are annotated for seven aspects of similarity in the original version as well as an additional FRAME aspect: GEO: How similar is the geographic focus (places, cities, countries, etc.) of the two articles? ENT: How similar are the named entities (e.g., people, companies, organizations, products, named living beings), excluding previously considered locations appearing in the two articles? TIME Are the two articles relevant to similar time periods or describing similar time periods? NAR How similar are the narrative schemas presented in the two articles? OVERALL Overall, are the two articles covering the same substantive news story? (excluding style, framing, and tone) STYLE Do the articles have similar writing styles? TONE Do the articles have similar tones? FRAME Do the articles have similar framing and express similar opinions?

These visualizations were created with the Python module 'stratigraph', using a variety of stratigraphic datasets. They accompany the paper "Stratigraphy in space and time: A reproducible approach to analysis and visualization", by Zoltán Sylvester, Kyle M. Straub, and Jacob A. Covault, to be published in the journal 'Earth Science Reviews'. A brief description of the files follows. 'SM_1_Barrell_plot_original.mp4': Animation of Barrell's (1917) synthetic time-elevation curve (Barrell, J., 1917, Rhythms and the measurements of geologic time: Geological Society of America Bulletin, v. 28, p. 745–904, doi:10.1130/GSAB-28-745). 'SM_2_Wheeler_original_diagram.mp4': Animation of the geologic cross section and corresponding chronostratigraphic diagram published by Wheeler (1964) - see Wheeler, H.E. (1964). Baselevel, lithosphere surface, and time stratigraphy. Geological Society of America Bulletin, v. 75, p. 599–610. 'SM_3_meanderpy_model_plane_widget.mp4': Slicing through a three-dimensional chronostratigraphic diagram of a meandering river model; red colors represent erosion, blue colors deposition. The meandering river model was generated using 'meanderpy'. 'SM_4_erosional_surfaces_meandering_river.mp4': Erosional surfaces generated by a meandering river, colored by age (purple = older, yellow = younger). The meandering river model was generated using 'meanderpy' and it is the same model as the one above. 'SM_5_XES02_3D_cut_sides_1.mp4': Visualization of the XES-02 experiment through time. The experiment was conducted at St. Anthony Falls Laboratory, University of Minnesota. Layers are colored by water depth (not grain size). See the following reference for more details on this experiment: Martin, J., Paola, C., Abreu, V., Neal, J., and Sheets, B., 2009, Sequence stratigraphy of experimental strata under known conditions of differential subsidence and variable base level: AAPG Bulletin, v. 93, p. 503–533. 'SM_6_XES_02_dip_and_strike_sections.mp4': Dip- and strike sections of deposits of the XES-02 experiment through time. Layers are colored by water depth. Chronostratigraphic diagrams are shown in the bottom panels. 'SM_7_TDWB_17_Barrell_plots.mp4': Proximal- to distal time-elevation plots, generated from the TDWB-17-1 experiment, conducted at the Tulane University Sediment Dynamics and Stratigraphy Laboratory. See the following paper for more details on the experiment: Straub, K.M., 2019, Morphodynamics and Stratigraphic Architecture of Shelf-Edge Deltas Subject to Constant vs. Dynamic Environmental Forcings: A Laboratory Study: Frontiers in Earth Science, v. 7, p. 121, doi:10.3389/feart.2019.00121. 'SM_8_TDWB_17_strike_sections_through_time.mp4': Strike sections through time, generated from the TDWB-17-1 experiment, conducted at the Tulane University Sediment Dynamics and Stratigraphy Laboratory. Layers are colored by water depth. 'SM_9_TDWB_17_exploding_view.mp4': Taking apart and putting back together the deposits of the TDWB-17-1 experiment, conducted at the Tulane University Sediment Dynamics and Stratigraphy Laboratory, along strike- and dip sections. Layers are colored by water depth.

This data release includes the MATLAB code used for sensitivity analysis of turbidite age estimates along the Cascadia subduction zone. The code is written for use in MATLAB and datasets are organized as .mat files. Data values are from Goldfinger et al. (2012) and Staisch (2024). Cited works: Goldfinger, C., Nelson, C.H., Morey, A.E., Johnson, J.E., Patton, J.R., Karabanov, E., Gutiérrez-Pastor, J., Eriksson, A.T., Gràcia, E., Dunhill, G., Enkin, R.J., Dallimore, A., and Vallier, T., 2012, Turbidite event history—Methods and implications for Holocene paleoseismicity of the Cascadia subduction zone: U.S. Geological Survey Professional Paper 1661–F, 170 p. (Available at https://pubs.usgs.gov/pp/pp1661f/). Staisch, L.M., 2024, Sensitivity testing of marine turbidite age estimates along the Cascadia Subduction Zone: Bulletin of the Seismological Society of America, TBD p.

This dataset is intended to provide seamless, integrated geologic mapping of the U.S. Intermountain West region as a contribution to The National Geologic Map supported by the National Cooperative Geologic Mapping Program of the U.S. Geological Survey. Surficial and bedrock geology are included in this data release as independent datasets at a variable resolution from 1:50,000 to 1:250,000 scale. No original interpretations are presented in this dataset; rather, all interpretive data are assimilated from referenceable publications. Derivative polygon features created for this dataset demonstrate the distribution of SIGMa-GeMS Geologic Provinces derived from the distribution of map units. Initial contributions to this data release are along an east-west transect along 37-degrees north latitude that extends from the Rio Grande Rift and Great Plains in the east to the Basin and Range and Sierra Nevada to the west. Other areas of the Intermountain West region will be incorporated over time. Data are presented as downloadable file geodatabases (*.gdb) and as features services that can be directly ingested into GIS software for analysis. This dataset is intended to be versioned regularly as new geologic map data is integrated. The data structure follows the Seamless Integrated Geologic Mapping extension (SIGMa) (Turner and others, 2022) to the Geologic Map Schema (GeMS) (USGS, 2020). U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema)—A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://doi.org/10.3133/tm11B10. Turner, K.J., Workman, J.B., Colgan, J.P., Gilmer, A.K., Berry, M.E., Johnstone, S.A., Warrell, K.F., Dechesne, M., VanSistine, D.P., Thompson, R.A., Hudson, A.M., Zellman, K.L., Sweetkind, D., and Ruleman, C.A., 2022, The Seamless Integrated Geologic Mapping (SIGMa) extension to the Geologic Map Schema (GeMS): U.S. Geological Survey Scientific Investigations Report 2022–5115, 33 p., https://doi.org/10.3133/ sir20225115.

The karstic Edwards and Trinity aquifers are classified as major sources of water in south-central Texas by the Texas Water Development Board, and both are classified as major aquifers by the State of Texas. The purpose of this data release is to present the data that were collected and compiled to describe the geologic framework and hydrostratigraphy within parts of Bandera and Kendall Counties, Texas, in order to help water managers, water purveyors, and local residents better understand and manage water resources. The scope of the larger work and this accompanying data release is focused on the geologic framework and hydrostratigraphy of the outcrops and hydrostratigraphy of the Edwards and Trinity aquifers within parts of Bandera and Kendall Counties, Texas. These digital data accompany Clark and others (2024).

The National Geologic Map Database (NGMDB) is a Congressionally mandated national archive of geoscience maps, reports, and stratigraphic information. The Geologic Mapping Act of 1992 and its Reauthorizations calls for the U.S. Geological Survey and the Association of American State Geologists (AASG) to cooperatively build this national archive, according to technical and scientific standards whose development is coordinated by the NGMDB. The NGMDB consists of a comprehensive set of publication citations, stratigraphic nomenclature, downloadable content in raster and vector formats, unpublished source information, and guidance on standards development. The NGMDB contains information on more than 110,000 maps and related geoscience reports published from the early 1800s to the present day, by more than 630 agencies, universities, associations, and private companies.

Compilation of field data collected in the Oregon Coast Range Tyee Formation. Location, strike and dip, Relative composition and bed thickness of interbedded sandstone and siltstone, Schmidt Hammer stiffness, notes, and sampled landslide density are provided. Landslide density is calculated using the manually mapped landslide deposit polygons from LaHusen et al. (2020).

Project Summary This dataset contains all qualitative and quantitative data collected in the first phase of the Pandemic Journaling Project (PJP). PJP is a combined journaling platform and interdisciplinary, mixed-methods research study developed by two anthropologists, with support from a team of colleagues and students across the social sciences, humanities, and health fields. PJP launched in Spring 2020 as the COVID-19 pandemic was emerging in the United States. PJP was created in order to “pre-design an archive” of COVID-19 narratives and experiences open to anyone around the world. The project is rooted in a commitment to democratizing knowledge production, in the spirit of “archival activism” and using methods of “grassroots collaborative ethnography” (Willen et al. 2022; Wurtz et al. 2022; Zhang et al 2020; see also Carney 2021). The motto on the PJP website encapsulates these commitments: “Usually, history is written only by the powerful. When the history of COVID-19 is written, let’s make sure that doesn’t happen.” (A version of this Project Summary with links to the PJP website and other relevant sites is included in the public documentation of the project at QDR.) In PJP’s first phase (PJP-1), the project provided a digital space where participants could create weekly journals of their COVID-19 experiences using a smartphone or computer. The platform was designed to be accessible to as wide a range of potential participants as possible. Anyone aged 15 or older, living anywhere in the world, could create journal entries using their choice of text, images, and/or audio recordings. The interface was accessible in English and Spanish, but participants could submit text and audio in any language. PJP-1 ran on a weekly basis from May 2020 to May 2022.

The dataset contains abundances of dinoflagellate cysts (dinocysts) from sediment samples from sediment core GeoB19927-3 (73°35,26' N, 58°05,66' W) located in Southern Melville Bay (Baffin Bay). The dataset covers the depth interval between 760-0 cm top depths, corresponding to 7.7 kyrs BP – present. The core was taken at 932 meters of water depth by gravity coring during cruise MSM44 in 2015 (Dorschel et al., 2016). The core consists of 1147 cm of sediment. For dinocyst analysis, it was sub-sampled every centimetre within the top 25 cm, every 5 cm within the 25 cm to 280 cm interval and every 10 cm within the 280 cm to 760 cm interval, including 124 samples. Sample processing followed the procedure for palynological preparation described in Vernal et al. (2010). The taxonomy of dinocysts used here was based on Rochon et al. (1999) and de Vernal et al. (2020). At least 300 dinocyst specimens were counted per sample when possible. For samples with low dinocyst abundance as many specimens as possible were enumerated. In the sample with lowest dinocyst abundance, 89 specimens were counted. The chronology has been provided by Saini et al. (2020). Project, funding: This study is a contribution of the International Research Training Group "Processes and Impacts of Climate Change in the North Atlantic Ocean and the Canadian Arctic" (ArcTrain), which was supported jointly by the German Research Foundation (DFG) (IRTG 1904) and by the Natural Sciences and Engineering Research Council of Canada (NSERC). We also acknowledge the support from the Fonds de recherche du Québec – Nature et Technologie (FRQNT).