Herzschuh, Ulrike; Böhmer, Thomas; Li, Chenzhi; Cao, Xianyong (2021): Reconstruction significances for European samples from the Northern Hemisphere Harmonized Pollen Archive [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.930733, In: Herzschuh, U et al. (2023): Northern Hemisphere temperature and precipitation reconstruction from taxonomically harmonized pollen data set with revised chronologies using WA-PLS and MAT (LegacyClimate 1.0) [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.930512
Always quote citation above when using data! You can download the citation in several formats below.
Published: 2021-04-23 • DOI registered: 2023-06-21
Project(s):
Coverage:
Median Latitude: 49.976571 * Median Longitude: 10.220298 * South-bound Latitude: 31.418889 * West-bound Longitude: -22.673260 * North-bound Latitude: 77.927610 * East-bound Longitude: 51.537778
Date/Time Start: 1938-06-26T00:00:00 * Date/Time End: 2014-01-01T00:00:00
Minimum Elevation: -971.0 m * Maximum Elevation: 2600.0 m
Event(s):
3-OEUFS (Trois-Oeufs) * Latitude: 47.368050 * Longitude: -0.740000 * Elevation: 14.0 m * Comment: Riverine. Physiography: Loire River. Surrounding vegetation: cultivated fields. Location: close to Loire river
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Event label | Event | Herzschuh, Ulrike | |||
| 2 | Reference/source | Reference | Herzschuh, Ulrike | Event | ||
| 3 | Identification | ID | Herzschuh, Ulrike | Site | ||
| 4 | Identification | ID | Herzschuh, Ulrike | Dataset | ||
| 5 | Site | Site | Herzschuh, Ulrike | |||
| 6 | LONGITUDE | Longitude | Herzschuh, Ulrike | Geocode | ||
| 7 | LATITUDE | Latitude | Herzschuh, Ulrike | Geocode | ||
| 8 | Continent | Cont | Herzschuh, Ulrike | |||
| 9 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | T air (July), Holocene period (WA-PLS) | |
| 10 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | T air (July) when partial out annual precip, Holocene period (WA-PLS) | |
| 11 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | T air (July), full dataset (WA-PLS) | |
| 12 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | T air (July) when partial out annual precip, full dataset (WA-PLS) | |
| 13 | Significance | Signif | Herzschuh, Ulrike | Modern analogue technique (MAT) | T air (July), Holocene period (MAT) | |
| 14 | Significance | Signif | Herzschuh, Ulrike | Modern analogue technique (MAT) | T air (July) when partial out annual precip, Holocene period (MAT) | |
| 15 | Significance | Signif | Herzschuh, Ulrike | Modern analogue technique (MAT) | T air (July), full dataset (MAT) | |
| 16 | Significance | Signif | Herzschuh, Ulrike | Modern analogue technique (MAT) | T air (July) when partial out annual precip, full dataset (MAT) | |
| 17 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | T air (annual mean), Holocene period (WA-PLS) | |
| 18 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | T air (annual mean) when partial out annual precip, Holocene period (WA-PLS) | |
| 19 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | T air (annual mean), full dataset (WA-PLS) | |
| 20 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | T air (annual mean) when partial out annual precip, full dataset (WA-PLS) | |
| 21 | Significance | Signif | Herzschuh, Ulrike | Modern analogue technique (MAT) | T air (annual mean), Holocene period (MAT) | |
| 22 | Significance | Signif | Herzschuh, Ulrike | Modern analogue technique (MAT) | T air (annual mean) when partial out annual precip, Holocene period (MAT) | |
| 23 | Significance | Signif | Herzschuh, Ulrike | Modern analogue technique (MAT) | T air (annual mean), full dataset (MAT) | |
| 24 | Significance | Signif | Herzschuh, Ulrike | Modern analogue technique (MAT) | T air (annual mean) when partial out annual precip, full dataset (MAT) | |
| 25 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | Precip annual total, Holocene period (WA-PLS) | |
| 26 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | Precip annual total when partial out July mean temp, Holocene period (WA-PLS) | |
| 27 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | Precip annual total when partial out annual mean temp, Holocene period (WA-PLS) | |
| 28 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | Precip annual total, full dataset (WA-PLS) | |
| 29 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | Precip annual total when partial out July mean temp, full dataset (WA-PLS) | |
| 30 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | Precip annual total when partial out annual mean temp, full dataset (WA-PLS) | |
| 31 | Significance | Signif | Herzschuh, Ulrike | Modern analogue technique (MAT) | Precip annual total, Holocene period (MAT) | |
| 32 | Significance | Signif | Herzschuh, Ulrike | Modern analogue technique (MAT) | Precip annual total when partial out July mean temp, Holocene period (MAT) | |
| 33 | Significance | Signif | Herzschuh, Ulrike | Modern analogue technique (MAT) | Precip annual total when partial out annual mean temp, Holocene period (MAT) | |
| 34 | Significance | Signif | Herzschuh, Ulrike | Modern analogue technique (MAT) | Precip annual total, full dataset (MAT) | |
| 35 | Significance | Signif | Herzschuh, Ulrike | Modern analogue technique (MAT) | Precip annual total when partial out July mean temp, full dataset (MAT) | |
| 36 | Significance | Signif | Herzschuh, Ulrike | Modern analogue technique (MAT) | Precip annual total when partial out annual mean temp, full dataset (MAT) | |
| 37 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | T air (July), tjuly-tailored Holocene period (WA-PLS) | |
| 38 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | T air (July) when partial out annual precip, tjuly-tailored Holocene period (WA-PLS) | |
| 39 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | T air (July), tjuly-tailored full dataset (WA-PLS) | |
| 40 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | T air (July) when partial out annual precip, tjuly-tailored full dataset (WA-PLS) | |
| 41 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | Precip annual total, tjuly-tailored Holocene period (WA-PLS) | |
| 42 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | Precip annual total when partial out July mean temp, tjuly-tailored Holocene period (WA-PLS) | |
| 43 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | Precip annual total, tjuly-tailored full dataset (WA-PLS) | |
| 44 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | Precip annual total when partial out July mean temp, tjuly-tailored full dataset (WA-PLS) | |
| 45 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | T air (annual mean), tann-tailored Holocene period (WA-PLS) | |
| 46 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | T air (annual mean) when partial out annual precip, tann-tailored Holocene period (WA-PLS) | |
| 47 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | T air (annual mean), tann-tailored full dataset (WA-PLS) | |
| 48 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | T air (annual mean) when partial out annual precip, tann-tailored full dataset (WA-PLS) | |
| 49 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | Precip annual total, tann-tailored Holocene period (WA-PLS) | |
| 50 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | Precip annual total when partial out annual mean temp, tann-tailored Holocene period (WA-PLS) | |
| 51 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | Precip annual total, tann-tailored full dataset (WA-PLS) | |
| 52 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | Precip annual total when partial out annual mean temp, tann-tailored full dataset (WA-PLS) | |
| 53 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | T air (July), pann-tailored Holocene period (WA-PLS) | |
| 54 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | T air (July) when partial out annual precip, pann-tailored Holocene period (WA-PLS) | |
| 55 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | T air (July), pann-tailored full dataset (WA-PLS) | |
| 56 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | T air (July) when partial out annual precip, pann-tailored full dataset (WA-PLS) | |
| 57 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | T air (annual mean), pann-tailored Holocene period (WA-PLS) | |
| 58 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | T air (annual mean) when partial out annual precip, pann-tailored Holocene period (WA-PLS) | |
| 59 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | T air (annual mean), pann-tailored full dataset (WA-PLS) | |
| 60 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | T air (annual mean) when partial out annual precip, pann-tailored full dataset (WA-PLS) | |
| 61 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | Precip annual total, pann-tailored Holocene period (WA-PLS) | |
| 62 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | Precip annual total when partial out July mean temp, pann-tailored Holocene period (WA-PLS) | |
| 63 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | Precip annual total when partial out annual mean temp, pann-tailored Holocene period (WA-PLS) | |
| 64 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | Precip annual total, pann-tailored full dataset (WA-PLS) | |
| 65 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | Precip annual total when partial out July mean temp, pann-tailored full dataset (WA-PLS) | |
| 66 | Significance | Signif | Herzschuh, Ulrike | Weighted averaging partial least squares (WA-PLS) regression | Precip annual total when partial out annual mean temp, pann-tailored full dataset (WA-PLS) |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
67023 data points
Download Data
View dataset as HTML (shows only first 2000 rows)
