Recent reports have identified errors and implausible results in the title paper, few of which have been corrected to date. To facilitate analysis, I provide a spreadsheet containing all data from tables in the corrected version (2020-05-29), from both the main text (html) and supporting information (PDF).
The data is uploaded to this publicly-funded repository with the permission of the copyright holder: "Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories ... with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source." Text and data mining are also permitted: "These articles are also available to download with rights for full text and data mining, re-use and analyses for as long as needed."

Data Sets of Cause-Effect Pairs first used in the following paper:

Answering Binary Causal Questions Through Large-Scale Text Mining: An Evaluation Using Cause-Effect Pairs from Human Experts Oktie Hassanzadeh, Debarun Bhattacharjya, Mark Feblowitz, Kavitha Srinivas, Michael Perrone, Shirin Sohrabi, Michael Katz IJCAI 2019

@inproceedings{Hassanzadeh19, author = {Oktie Hassanzadeh and Debarun Bhattacharjya and Mark Feblowitz and Kavitha Srinivas and Michael Perrone and Shirin Sohrabi and Michael Katz}, title = {Answering Binary Causal Questions Through Large-Scale Text Mining: An Evaluation Using Cause-Effect Pairs from Human Experts}, booktitle = {Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, {IJCAI} 2019, August 10-16, 2019, Macao, China}, year = {2019} }

See README.txt for details.

$ wc -l * 319 ce_me_benchmark_v1.csv 118 nato_sfa_benchmark_v1.csv 804 risk_models_benchmark_v1.csv 1730 semeval_benchmark_v1.csv 2971 total

$ ls -lh * | awk '{print $5,$9}' 23K ce_me_benchmark_v1.csv 11K nato_sfa_benchmark_v1.csv 73K risk_models_benchmark_v1.csv 42K semeval_benchmark_v1.csv

NATO SFA Benchmark is created from the tables in the Appendix of the following publicly available document: STRATEGIC FORESIGHT ANALYSIS 2017 REPORT Links: https://www.act.nato.int/images/stories/media/doclibrary/171004_sfa_2017_report_hr.pdf https://www.act.nato.int/images/stories/media/doclibrary/171004_sfa_2017_report_txt.pdf https://www.act.nato.int/futures-work

SemEval data is published under the Creative Commons Attribution 3.0 Unported license: https://creativecommons.org/licenses/by/3.0/ Details: https://docs.google.com/document/d/1QO_CnmvNRnYwNWu1-QCAeR5ToQYkXUqFeAJbdEhsq7w/preview Original source: https://drive.google.com/file/d/0B_jQiLugGTAkMDQ5ZjZiMTUtMzQ1Yy00YWNmLWJlZDYtOWY1ZDMwY2U4YjFk/view?sort=name&layout=list&num=50

The rest of the data sets are covered by the Creative Commons: Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode

THIS DATA IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

In 2019, Eric C. Nystrom (Arizona State University) and Brian James Leech (Augustana College) conducted a survey of self-identified mining historians to determine their preferences for mining history scholarship. Our survey asked voluntary respondents to list their top three "classic" books in mining history, and also their top three "recent" mining history books. Respondents were also given an opportunity for optional comments, to accompany their choices. Basic demographic data about occupation, occupation status, and geographic location were collected. Geographic data was aggregated to remove personally identifying information.

All responses were voluntary and anonymous. 40 complete responses were received, and 134 distinct books were mentioned. The data was then regularized, and complete bibliographic data generated. When a book has been issued in multiple editions, the first edition was used, unless a different edition was explicitly specified by the respondent.

Included files

This data release contains:

• Spreadsheet of responses (TSV), with responses regularized by BibTeX tag, geography grouped to prevent identification, and private comments removed (all in accordance with IRB)
• Bibliography of all books mentioned as either "classic" or "recent" works by study respondents, in Chicago format, alphabetical by author last name (PDF)
• BibTeX file containing complete bibliography of all books mentioned by respondents

Publications

The survey results were analyzed in the following works:

Brian James Leech and Eric C. Nystrom, "Surveying the Minds: New Trends and Key Classics in Mining History," Mining History Journal 27 (2020): forthcoming.

Brian James Leech and Eric C. Nystrom, "Surveying the Minds: New Trends and Key Classics in Mining History," paper presented at the Mining History Association Conference, Marquette, MI, June 8, 2019.

Notes and Errata

• For Rodman Paul's Mining Frontiers, one respondent explicitly listed the 2001 Paul & West edition; all others were assumed to be the first edition from 1963.

• One respondent explicitly mentioned the Herbert and Lou Henry Hoover translation of Agricola's 1556 work De re Metallica; since this English translation is the one almost always used in the modern era, references to Agricola were regularized as the Hoover edition.

• In a handful of cases, multi-volume works were listed by respondents, and were thus entered in the bibliography this way. See e.g. Lingenfelter, Bonanzas & Borrascas.

• ASU IRB exemption # STUDY00009309; Augustana IRB exemption # 462452423.