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- Description:
- Isotopic data in this database includes 863 samples from 34 papers and three previously published compilations. For each sample, this database provides location, age, and reference information presented in the first columns. Locations are recorded in latitude and longitude (WGS84). The information about the location source uses the same criteria used for the elemental geochemical database (“GPS”, “Figure-Polygon” and “Figure-Point”). Age is provided according to the original source and includes two general scenarios: an age with uncertainty at 2σ level and a general estimation for the age with no associated error. Sm-Nd and Rb-Sr data are based on whole rock analysis. Lu-Hf data are based on zircon analysis. Sm-Nd data includes Sm and Nd in ppm, 147Nd/144Nd and 143Nd/144Nd in ratios, Nd uncertainties at 2σ level, and Nd values in the epsilon notation as presented in the data source. Rb-Sr data include Rb and Sr in ppm; 87Rb/86Sr, 87Sr/86Sr, and initial 87Sr/86Sr in ratios, and Sr uncertainties at 2σ level. Lu-Hf data includes 176Yb/177Hf, 176Lu/177Hf, and 176Hf/177Hf rations and their uncertainties at 2σ level, the initial 176/177Hf ratio, Hf values in the epsilon notation and Hf uncertainties at 1σ and 2σ level, all as presented in the data source. Uncertainties related to the data location and heterogenous data distribution should be considered. Samples for the two batholiths in Mongolia are concentrated in central Mongolia and include Sm-Nd and Lu-Hf data. In the Erguna and Xing’an magmatic provinces, available samples provide mainly Lu-Hf data which are relatively better distributed than in the other regions.
- Keyword:
- Mongolia, Mongol-Okhotsk Belt, magmatism, isotope geochemistry, and database
- Subject:
- Isotope geochemistry
- Creator:
- Ochir, Gerel, Lambart, Sarah, Lippert, Peter C., Henriquez, Susana, Johnson, Cari L., and Webb, Laura
- Owner:
- Kaylee Alexander
- Based Near Label Tesim:
- Mongolia, , Mongolia
- Language:
- English
- Date Uploaded:
- 10/27/2023
- Date Modified:
- 02/28/2024
- Date Created:
- 2020-05-01 to 2023-06-18
- License:
- Public Domain – This data is free of copyright restrictions (e.g. government sponsored data).
- Resource Type:
- Dataset
- Identifier:
- https://doi.org/10.7278/S50d-fraf-ds5g
-
- Description:
- This dataset summarizes burial counts according to burial type (free, temporary, or perpetual) for the cemeteries of Père-Lachaise, Montmartre, and Montparnasse in Paris. The data covers the period of 1804 to 1840 and was derived from the digitized daily records of burial for the city of Paris, which are currently held in the Archives de Paris. See Registres journaliers d'inhumation https://archives.paris.fr/r/216/cimetieres). These data are organized by the number of each burial type recorded per page of the digitized records.
- Keyword:
- Paris, burial, Montparnasse, and Pere-Lachaise
- Subject:
- Paris, Montparnasse, and Père-Lachaise, Cimetière du
- Creator:
- Kaylee P. Alexander
- Owner:
- Kaylee Alexander
- Based Near Label Tesim:
- Paris, Île-de-France, France
- Language:
- English
- Date Uploaded:
- 02/11/2023
- Date Modified:
- 11/30/2023
- Date Created:
- 2019-01-01 to 2021-01-01
- License:
- CC BY NC - Allows others to use and share your data non-commercially and with attribution.
- Resource Type:
- Dataset
- Identifier:
- https://doi.org/10.7278/S50d-d18q-yfzt
-
- Description:
- This dataset accounts for all jobs undertaken by the Société Le Roy Bouillon, a funerary monuments company in Paris, from 1890 to 1902. The first sheet, “Activity Data” accounts for each job and the fee charged to the client for that job. It also categories each job as either a new cemetery construction, maintenance to existing cemetery structures, or other jobs unrelated to cemetery construction. The second sheet, “Outside Paris,” summarizes the annual activity, recording the number of projects undertaken within Paris versus outside of the city, new constructions versus maintenance work, and revenue coming in from each type of job. The original records are currently housed in a private collection in Paris and were manually transcribed by the author.
- Keyword:
- Paris, France, funerary monuments, nineteenth centruy, cemeteries, and business history
- Subject:
- funerary structures, cemeteries, and nineteenth century (dates CE)
- Creator:
- Kaylee P. Alexander
- Owner:
- Kaylee Alexander
- Based Near Label Tesim:
- Paris, Île-de-France, France
- Language:
- English
- Date Uploaded:
- 02/09/2023
- Date Modified:
- 11/30/2023
- Date Created:
- 2020-01-01 to 2020-01-31
- License:
- CC BY NC - Allows others to use and share your data non-commercially and with attribution.
- Resource Type:
- Dataset
- Identifier:
- https://doi.org/10.7278/S50d-t4sn-67e3
-
- Description:
- This dataset is based on the 1816, two-volume publication, Le champ du repos, ou le Cimetière Mont-Louis, dit du Père Delachaise. Compiled over the course of 1815 by MM. Roger and Roger (a father-son team), Le champ du repos contains the epitaphs and scale drawing of over 2000 monuments present in the cemetery of Père-Lachaise (Paris, France) by the end of 1815. The author of this dataset has combined the information from this volume (including demographics of the deceased drawn from epitaphs, visual characteristics of monuments, and the locations of monuments within the cemetery) with data from the digitized records of burial available from the Archives de Paris ( https://archives.paris.fr/r/216/cimetieres/). Thus, this dataset details every known monument present in the Cemetery of Père-Lachaise by the end of 1815 with information about the type of burial (free, temporary, or perpetual) that it marked.
- Keyword:
- Paris, France, tombstones, cemeteries, Pere-Lachaise, nineteenth centry, epitaphs, and monuments
- Subject:
- funerary structures, cemeteries, and nineteenth century (dates CE)
- Creator:
- Kaylee P. Alexander
- Owner:
- Kaylee Alexander
- Language:
- English, French
- Date Uploaded:
- 01/27/2023
- Date Modified:
- 04/18/2024
- Date Created:
- 2021-01-01
- License:
- CC BY NC - Allows others to use and share your data non-commercially and with attribution.
- Resource Type:
- Dataset
-
- Description:
- This dataset covers all of the marbriers (stonecutters) listed in the commercial almanacs for the city of Paris from 1798 to 1907. The author used the almanacs available digitally on the Bibliothèque nationale de France's digital library, Gallica (gallica.bnf.fr). The dataset was initially compiled to study the development of the funerary monuments industry in Paris, although the dataset aggregates all stonemasons' enterprises and ateliers regardless of their field of specialization. Binary variables are included in the dataset, based on text descriptions in the almanacs, to indicate named areas of specialization. Historically, the compilation of the annual commercial almanacs was a project undertaken by two different publishers (Bottin and Firmin Didot), who eventually merged in 1857. Every year, in addition to the information that had already been collected, corrections and additions were solicited from the general public. According to the notice included at the beginning of the 1838 issue, listing in the almanac was (and always had been) free. If one wanted details in addition to a general category of work to be included in a record, individuals needed to contact the editor directly (there is no mention of what this might have cost). See: Sébastien Bottin, Almanach du commerce de Paris, des départemens de la France, et des principals villes du monde (Paris, 1838); and Firmin Didot et Bottin Réunis, Annuaire et almanac du commerce, de l’industrie, de la magistrature et de l’administration (Paris: 1857).
- Keyword:
- Paris, nineteenth century, business history, stonemasons, marbriers, and France
- Subject:
- stonemasons, nineteenth century (dates CE), Paris, and stonecutters
- Creator:
- Kaylee P. Alexander
- Owner:
- Kaylee Alexander
- Language:
- English, French
- Date Uploaded:
- 01/27/2023
- Date Modified:
- 11/30/2023
- Date Created:
- 2017-08-01 to 2019-01-19
- License:
- CC BY NC - Allows others to use and share your data non-commercially and with attribution.
- Resource Type:
- Dataset
- Identifier:
- https://doi.org/10.7278/S50d-cpg6-7vn8