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University of Cincinnati
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- Type:
- Dataset
- Description/Abstract:
- North2_NFI - 50cm/pixel DEM File, GeoTIFF
- Creator/Author:
- Britton, Benjamin
- Submitter:
- Benjamin Britton
- Date Uploaded:
- 04/04/2026
- Date Modified:
- 04/06/2026
- Date Created:
- 2026-04-03
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- Out_GLAS
- Creator/Author:
- Britton, Benjamin
- Submitter:
- Benjamin Britton
- Date Uploaded:
- 04/03/2026
- Date Modified:
- 04/06/2026
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- Out_Yuc_NFI
- Creator/Author:
- Britton, Benjamin
- Submitter:
- Benjamin Britton
- Date Uploaded:
- 04/03/2026
- Date Modified:
- 04/06/2026
- Date Created:
- 2026-04-03
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- G1 North2_NFI
- Creator/Author:
- Britton, Benjamin
- Submitter:
- Benjamin Britton
- Date Uploaded:
- 04/03/2026
- Date Modified:
- 04/06/2026
- Date Created:
- 2026-04-03
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Document
- Description/Abstract:
- Recent court decisions on EMS Law (3rd Edition).
- Creator/Author:
- Bennett, Lawrence
- Submitter:
- Lawrence Bennett
- Date Uploaded:
- 03/31/2026
- Date Modified:
- 04/05/2026
- Date Created:
- 2026-03-31
- License:
- Public Domain Mark 1.0
-
- Type:
- Dataset
- Description/Abstract:
- G1 G-LiHT Yucatan Reprocessing Project - 50cm/pixel DEM GeoTIFF files South_GLAS - Ground-Filtered LiDAR, LAZ format South_NFI - Ground-Filtered LiDAR, LAZ format Norte_GLAS - Ground-Filtered LiDAR, LAZ format Norte_NFI - Ground-Filtered LiDAR, LAZ format North2_GLAS - Ground-Filtered LiDAR, LAZ format North2_NFI - Ground-Filtered LiDAR, LAZ format Out_GLAS - Ground-Filtered LiDAR, LAZ format Out_NFI - Ground-Filtered LiDAR, LAZ format Centro_GLAS - Ground-Filtered LiDAR, LAZ format Centro_NFI - Ground-Filtered LiDAR, LAZ format Chiaps_GLASI - Ground-Filtered LiDAR, LAZ format Chiaps_NFI - Ground-Filtered LiDAR, LAZ format Campeche_NFI - Ground-Filtered LiDAR, LAZ format
- Creator/Author:
- Britton, Benjamin
- Submitter:
- Benjamin Britton
- Date Uploaded:
- 04/04/2026
- Date Modified:
- 04/04/2026
- Date Created:
- 2
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- South_GLAS - 50cm/pixel DEM GeoTIFF files
- Creator/Author:
- Britton, Benjamin
- Submitter:
- Benjamin Britton
- Date Uploaded:
- 04/04/2026
- Date Modified:
- 04/04/2026
- Date Created:
- 2026-04-03
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Article
- Description/Abstract:
- As I have previously shown, Alexandre Brongniart established a coherent science of ceramics. By the mid-nineteenth century, Brongniart had popularised the term "la céramique" as a widely-applicable name for the field of pottery and porcelain making, and other related arts. In the Twentieth Century, ceramic manufacturing became increasingly technical. The inclusive field of artisans and industrialists that Brongniart had once envisioned was fracturing. Voices called for the separation of pottery making from experimental, industrial ceramics and the meaning of the term “ceramics” was hotly debated. Numerous etymologies were traced, but, as the predominant language of science transferred from French to English, none of the twentieth-century authors recognized Brongniart’s key role in the invention of the term. Critically, this language debate coincided with and reflected the global politics, nationalism, and warfare of the first half of the Twentieth Century.
- Creator/Author:
- Carr-Trebelhorn, Julia
- Submitter:
- Julia Carr-Trebelhorn
- Date Uploaded:
- 03/09/2026
- Date Modified:
- 03/09/2026
- Date Created:
- 2026-03-09
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
-
- Type:
- Article
- Description/Abstract:
- Taking on the task of ordering the sciences related to pottery and clay-based objects, natural historian and porcelainier Alexandre Brongniart sought a new way of describing the ancient practice. Early in his forty-seven-year career as director of the Sèvres Porcelain Manufactory, Brongniart developed a research center for the advanced study of pottery and porcelain making. Brongniart recognized that an inclusive and distinct term for the field was necessary, but it had to be introduced carefully, so that it was welcomed rather than rejected as presumptuous. Through close reading of Brongniart’s writings, as well as contemporary periodicals and the texts of other authors, the development of the word “ceramic” – originally introduced by Brongniart and his associates in French as “la céramique” – can be traced closely. I show that this was a deliberate, methodical, and years-long effort to create a durable, comprehensive term.
- Creator/Author:
- Carr-Trebelhorn, Julia
- Submitter:
- Julia Carr-Trebelhorn
- Date Uploaded:
- 03/09/2026
- Date Modified:
- 03/09/2026
- Date Created:
- 2026-03-09
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
-
- Type:
- Dataset
- Description/Abstract:
- This is a dataset generated as a part of a research project studying the changing support among European Union (EU) members for the war in Ukraine. The dataset contains a number of conditions (variables) used to conduct fuzzy-set qualitative comparative analysis (fsQCA) to test five critical conditions that have shaped the change in public opinion that include economic growth, democratic rule, distance from the front lines, level of energy dependence from Russia and trust in social media. These conditions (or variables) include: Num: Case number in the row MEMBR: EU member state two or three-letter abbreviation WEALTH: GDP per capita in Euro (measured in purchasing power parties) as reported by Eurostat GROWTH: GDP growth in volume based on seasonally adjusted data by Eurostat DEMOCR: the overall score for each EU member’s democracy index for 2022. Data have been drawn from the Economist Intelligence Unit (EIU) 2022 report DISTAN: an average distance (in thousand kilometers) from the geographic center point of the national capital of each EU member-state to the south-western and north-eastern tips of the frontline of the war in Ukraine. I have accepted that the western tip of the frontline is Kinburnsʹka Kosa National Park (Geographic Coordinates: 46°34’37”N 31°30’44”E) and the eastern tip of the frontline is at the village of Topoli in Kharkiv Oblast (Geographic Coordinates: 49°57’52″N, 37°54′31″E). TRADE: volume of trade with Russia per capita in thousand of US Dollars. ENERGO: EU energy dependence on Russia as estimated by the European Commission (from 0 to 100 percent) for 2020. Source: Eurostat. GOVTR: Net trust in national government (difference between the sum of fully trust and partially trust responses and fully distrust and partially distrust responses). MEDIATR: Net trust in social media (difference between the sum of fully trust and partially trust responses and fully distrust and partially distrust responses). CNG_MIL -- change of net support for the financing of the purchase and supply of military equipment to Ukraine, Spring 2022-Spring 2025 CNG_FIN -- change of net support for the financing of support for Ukraine, Spring 2022-Spring 2025 CNG_HUM -- change of net support for providing humanitarian support for the people affected by the war, Spring 2022-Spring 2025 CNG_REF -- change of net support for welcoming in the EU people fleeing the war, Spring 2022-Spring 2025 AVCHNG: Difference in average change of the military, economic, humanitarian and refugee support for Ukraine Spring 2022-Spring 2025. WEALTH1: Calibrated score for national wealth (see paper for details) GROWT1: Calibrated score for economic growth (see paper for details) DEMOCR1: Calibrated score for democracy (see paper for details) DISTAN1: Calibrated score for distance (see paper for details) TRADE1: Calibrated score for trade (see paper for details) RENERGO1: Calibrated score for energy dependence (see paper for details) GOVTR1: Calibrated score for trust in governance (see paper for details) RMEDIATR1: Calibrated score for trust in social media (see paper for details) --------------- NB: File: "Dataset_UkrTime2yr.csv" contains data for the public support during the first two years (24 months) since the whole scale invasion of Ukraine, Spring 2022-Spring 2024 File"Dataset_UkrTime3yr.csv" contains data for the public support during the first three years (36 months) since the whole scale invasion of Ukraine, Spring 2022-Spring 2025
- Creator/Author:
- Ivanov, Ivan
- Submitter:
- Ivan Ivanov
- Date Uploaded:
- 04/27/2025
- Date Modified:
- 03/03/2026
- Date Created:
- 5-01-2024
- License:
- All rights reserved
