cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.sf467t
title: Occurrence Download

description: A dataset containing 217499 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acalypha poiretii Spreng., Acalypha virginica L., Achyranthes aspera L., Acmella repens (Walter) Richard, Actaea pachypoda Elliott, Actaea racemosa L., Adiantum aleuticum (Rupr.) C.A.Paris, Adlumia fungosa (Aiton) Greene ex Britton, Stern & Poggenb., Aeschynomene rudis Benth., Agalinis tenuifolia (Vahl) Raf., Agastache nepetoides (L.) Kuntze, Agastache scrophulariifolia (Willd.) Kuntze, Agave virginica L., Ageratina altissima (L.) R.M.King & H.Rob., Ageratina aromatica (L.) Spach, Agrimonia gryposepala Wallr., Agrimonia parviflora Aiton, Allium canadense L., Allium cernuum Roth, Allium stellatum Nutt. ex Ker Gawl., Amaranthus spinosus L., Ambrosia artemisiifolia L., Ambrosia confertiflora DC., Ambrosia psilostachya DC., Ambrosia trifida L., Amelanchier spicata (Lam.) K.Koch, Amianthium muscitoxicum (Walter) A.Gray, Amorpha fruticosa L., Ampelaster carolinianus (Walter) G.L.Nesom, Amphicarpaea bracteata (L.) Fernald, Andersonglossum virginianum (L.) J.I.Cohen, Andropogon floridanus Scribn., Andropogon gerardii Vitman, Andropogon glomeratus (Walter) Britton, Sterns & Poggenb., Anemonastrum canadense (L.) Mosyakin, Anemone quinquefolia L., Anemone virginiana L., Angelica triquinata Michx., Angelica venenosa (Greenway) Fernald, Anoda cristata (L.) Schltdl., Antennaria howellii Greene, Antennaria plantaginifolia (L.) Hook., Anticlea elegans (Pursh) Rydb., Apios americana Medik., Aquilegia canadensis L., Aralia hispida Vent., Argemone albiflora Hornem., Arisaema dracontium (L.) Schott, Arisaema quinatum (Nutt.) Schott, Aristolochia tomentosa Sims, Arnoglossum atriplicifolium (L.) H.Rob.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 217499 records from 834 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0236550-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25921/bg9d-n217
title: NOAA/WDS Paleoclimatology - Gut - Elm-Gandwald - PCAB - ITRDB SWIT373

description: The pairwise statistical comparison of ring-width series is the basic analysis of dendro-provenancing studies. It is assumed that statistical proximity indicates similar provenance, but this assumption often remains untested. Especially for small areas with high topographic complexity, it is unknown to what extent statistical proximity and geographical provenance are correlated.

In this paper, dendro-provenancing is framed as a search for statistical Nearest Neighbors. The 'k-Nearest Neighbors leave one-out cross-validation' process (k-NN) is proposed as a method for validating dendro-provenancing approaches. Furthermore, it allows researchers to consistently compare and evaluate different proximity measures with respect to their suitability for dendro-provenancing. The validation process is demonstrated on a data set of 401 ring-width series of Norway spruce (Picea abies (L.) H. Karst.) encompassing 15 sites along elevational gradients in north-eastern Switzerland. Moreover, a new type of plot, the so-called scissor plot, is introduced to visualize the k-NN validation process.

Results indicate that dendro-provenancing depends heavily on differences in between sites high-frequency signal. Mean classification success for the relevant stages of the k-NN (CSRopen) ranged from 71.8% to 79.2% for the best performing measures. Classification errors occurred mainly between sites at elevations of 1000-1198 m a.s.l. At all other elevations and between different regions of the study area, only moderate differences in classification performance were detected. Thus, the results indicate that dendro-provenancing may be principally feasible even in a small region as studied here.
description: dendro-provenance study NOAA Template Raw Measurements file added 2020-03-09.
DOI: 10.25921/bd0b-9g49
title: NOAA/WDS Paleoclimatology - West Coast USA Basin-Level Sub-Seasonal Precipitation and Runoff Reconstructions

description: Tree-ring records of preinstrumental hydroclimate, which contribute needed context for understanding recent drought and flood events, typically provide one value per year that represents the entire year or one particular season. This may introduce a seasonal bias to the records or omit seasonally variable moisture. Here, I use tree-ring records to reconstruct precipitation and runoff in 28 U.S. West Coast watersheds for running 1, 3, 6, and 12-month intervals. When compared on a yearly basis, the Monthly and Four-Season models have higher overall skill and better extreme capture in most basins than the Cool-Warm and Annual models. The Monthly and Four-Season versions also decrease model error in years with more intense precipitation and retain more variability in the preinstrumental period. Improved capture of year-round moisture can provide a more complete representation of the preinstrumental past and strengthen capacity to study shorter-duration and season-specific events like atmospheric rivers.
description: Tree-ring reconstruction of precipitation and runoff in 28 watersheds on the USA West Coast (California, Oregon, and Washington)
DOI: 10.25921/b1bk-aw13
title: NOAA/WDS Paleoclimatology - Touchan - Carpenter Ridge - TSME - ITRDB CA692

description: The utility of a high-resolution snow-hydrologic model to derive climatological indices that describe the variability in radial growth of four conifer species in two Sierra Nevada sites is presented herein. Nine annual indices associated with radial growth were developed to represent the winter dormancy, characteristics of the snowpack and soil water content, and the duration of the seasons. Site chronologies of earlywood (EW) and latewood (LW) ring widths were developed for mountain hemlock (Tsuga mertensiana), red fir (Abies magnifica), white fir (Abies concolor), and ponderosa pine (Pinus ponderosa) at two sites on leeward and windward slopes. The signal strength for annual climatological indices derived from model output was tested with correlation and regression, in combination with principal components analysis. Results show significant snow-related climate signal in the tree-ring data, with substantial differences between species and between EW and LW. Dependence on previous year's snow and soil moisture (a lagged response) were found for EW of hemlock and red fir. The primary EW-LW signal contrast for those species is a shift toward dependence on current-year moisture conditions for LW, especially for red fir. Lagged climate response was less evident for white fir and ponderosa pine. Regression of tree-ring series on principal components of climatological indices showed a stronger average signal in EW (R2 = 0.48) than in LW (R2 = 0.35). Differences in tree-ring hydrologic signal at the two sites are attributed to microclimate and contrasts in snow regime. Results attest to the hydrologic model usefulness for investigating temporal relationships between tree rings and local climate.
description: Many logs fall down from snow, many new seedlings NOAA Template Raw Measurements file added 2020-03-09.
DOI: 10.25921/b5x9-9191
title: NOAA/WDS Paleoclimatology - Mawmluh Cave, India 135-100ka Speleothem Isotope and Trace Element Data

description: To date Indian Summer Monsoon (ISM) dynamics have been assessed by changes in stalagmite d18O. However, stalagmite d18O is influenced by multiple environmental factors (e.g. atmospheric moisture transport, rainfall amount at the study site, ISM seasonality), precluding simple and clear reconstructions of rainfall amount or variability. This study aims to disentangle these environmental factors by combining d18O, d44Ca and elemental data from a stalagmite covering Termination II and the last interglacial from Mawmluh Cave, NE India, to produce a semi-quantitative reconstruction of past ISM rainfall. We interpret d18O as a mixed signal of rainfall source dynamics and rainfall amount, and coupled d44Ca and X/Ca ratios as indicators of local infiltration rate and prior calcite precipitation in the karst zone. The wettest conditions in our studied interval (135 and 100 kyrs BP (BP = before present, with the present being 1950 CE)) occurred during MIS-5e. Our multi-proxy dataset suggests a likely change in seasonal distribution of MIS-5e rainfall compared to the Holocene; the wet season was longer with higher-than-modern dry season rainfall. Using the last interglacial as an analogue for future anthropogenic warming, our data suggest a more erratic ISM behavior in a warmer world.
description: Stable isotope (d18O, d13C, d44Ca) and trace element (Mg/Ca, Sr/Ca, Ba/Ca) data from a speleothem collected in Mawmluh Cave, NE India, covering the time interval from 100 kyrs to 135 kyrs BP. We also supply modern monitoring data (host rock, dripwater and modern precipiate d44Ca data).
DOI: 10.25921/bbtr-jv38
title: NOAA/WDS Paleoclimatology - Pir Ghar Cave, Iran Early Glacial Isotope and Trace Metal Data

description: Few paleoclimate records exist to assess the central Middle East's response to natural forcing beyond the instrumental record. Here, we present a multiproxy stalagmite-based climate reconstruction from Iran's semiarid northeast that spans 100-70,000 years before present. During severe cold (stadial) events in the North Atlantic at ~88, 77, and 73 ka, stalagmite trace-element data indicate anomalously dry periods at this location. Stadial event increases in the stalagmite oxygen isotopes mirror those in a published Iranian stalagmite 800 km to the west. A global climate model simulates drying across the Middle East region in response to stadial event forcing, in agreement with oxygen isotope enrichments in both Iranian records, caused by a smaller fractional loss of moisture on the trajectory upstream. The paleoproxies and model experiments are consistent in indicating a drier Middle East climate during the cold North Atlantic stadials.
description: Stable isotope and trace metal data from a stalagmite collected in Pir Ghar Cave, Iran for 97-71ka.
DOI: 10.25921/b0bb-kf17
title: NOAA/WDS Paleoclimatology - Ahmad - Khyber Pakhtunkhwa Chitral - CDDE - ITRDB PAKI041

description: Currently, the rate of global warming has led to persistent drought patterns. It is considered to be the preliminary reason affecting socio-economic development under the background of dynamic forecasting of water supply and forest ecosystems in West Asia. However, long-term climate records in the semi-arid Chitral mountains of northern Pakistan are seriously lacking. Therefore, we developed a new tree-ring width chronology of Cedrus deodara spanning the period of 1537-2017. We reconstructed the March-August Palmer Drought Sensitivity Index (PDSI) for the past 424 years back to A.D. 1593. Our reconstruction was featured with nine dry and eight wet periods 1593-1598, 1602-1608, 1631-1645, 1647-1660, 1756-1765, 1785-1800, 1870-1878, 1917-1923, 1981-1995, and 1663-1675, 1687-1708, 1771-1773, 1806-1814, 1844-1852, 1932-1935, 1965-1969 and 1996-2003, respectively. This reconstruction is consistent with other dendroclimatic reconstructions in west Asia, confirming its reliability. The analysis of the Multi-Taper Method and wavelet analysis revealed drought variability at periodicities of 2.1-2.4, 3.3, 6, 16.8, and 34-38 years. The drought patterns could be linked to the broad-scale atmospheric-oceanic variability such as El Niño-Southern Oscillation (ENSO), Atlantic Multi-decadal Oscillation (AMO) and solar activity. In terms of current climate conditions, our findings have important implications for developing drought-resistant policies in communities on the fringes of Hindu Kush mountain Ranges in northern Pakistan.
description: PDSI reconstruction based on these data is archived at: https://www.ncdc.noaa.gov/paleo/study/29552 NOAA Template Raw Measurements file added 2020-05-11. July 2024: Elevation added by WDS-Paleo using get_elev_point() from the elevatr R package with the AWS Terrain Tiles (aws) and WGS 84 reference frame.
DOI: 10.25921/bx4r-gy67
title: NOAA/WDS Paleoclimatology - Pearl - Acushnet Cedar Swamp - CHTH - ITRDB MA023

description: High-resolution paleoclimate records are essential for improving our understanding of internal variability and the detection and attribution of forced climate system responses. The densely populated northeastern United States is at risk from increasing temperatures, severe droughts, and extreme precipitation, but the region has limited annual and seasonal-resolution paleoclimate records beyond the instrumental record. Chamaecyparis thyoides, L. (B.S.P.), Atlantic white cedar, a wetland conifer found within 200 km of the Atlantic coastline of the United States, is a promising tree-ring proxy that can fill in these data gaps. Here, we develop and analyze a new network of Atlantic white cedar tree-ring chronologies across the northeastern United States and demonstrate that site selection is important for regional paleoclimate reconstructions. Ring width variability reflects winter through summer temperatures at inland and hydrologically stable sites in the northernmost section of the species' range. Ombrotrophic sites along the coast record hydrological signals and correlate with growing season precipitation. We demonstrate skillful regional climate field reconstructions for the last several centuries and show the increased skill from incorporating our moisture sensitive sites into broad-scale products like the North American Drought Atlas. This comprehensive understanding of the species' climate responses leads to a tree-ring network that provides the long-term multivariate climate context at multidecadal and centennial time scales for the large-scale ocean-atmospheric processes that influence the climate of the region. We use this network to examine the covariance of temperature and drought across the New England area over the past two centuries.
description: These data were collected as part of northeastern United States network of Atlantic white cedar. They were used to generate a gridded temperature reconstruction for the region. Two or three cores per tree were extracted from each tree and labelled as "A", "B" or "C" NOAA Template Raw Measurements file added 2020-05-11.
DOI: 10.25921/b0cs-z091
title: NOAA/WDS Paleoclimatology - Blue Lake, Colorado 4,500 Year Dust Accumulation Data

description: Dust emissions from southwestern North America (Southwest) impact human health and water resources. Whereas a growing network of regional dust reconstructions characterizes the long-term natural variability of dustiness in the Southwest, short-term fluctuations remain unexplored. We present a 4.5-millennia near-annual record of dust mass accumulation rates from the southern Rocky Mountains, CO. Using microscanning X-ray fluorescence and a geochemical end-member mixing model, the record confirms dust increased with human disturbance beginning around 1880 CE, reversing a long-term decreasing trend potentially related to changes in effective moisture, wind, and vegetation. However, increases in dust mass accumulation rates do not correspond to years or periods of drought, as characterized by tree rings. This result suggests sediment supply and transport mechanisms have a strong influence on dust deposition. The record shows the Southwest is naturally prone to dustiness; however, human disturbances have a large influence on dust emissions, which can be mitigated by changing land use.
description: Dust record from sediment cores collected in Blue Lake, southern Colorado, for the past 4,500 years.
DOI: 10.25921/bz1y-5z47
title: NOAA/WDS Paleoclimatology - Cenozoic Global Mean Sea Level Estimates

description: Using Pacific benthic foraminiferal d18O and Mg/Ca records, we derive a Cenozoic (66 Ma) global mean sea level (GMSL) estimate that records evolution from an ice-free Early Eocene to Quaternary bipolar ice sheets. These GMSL estimates are statistically similar to "backstripped" estimates from continental margins accounting for compaction, loading, and thermal subsidence. Peak warmth, elevated GMSL, high CO2, and ice-free "Hothouse" conditions (56 to 48 Ma) were followed by "Cool Greenhouse" (48 to 34 Ma) ice sheets (10 to 30 m changes). Continental-scale ice sheets ("Icehouse") began ~34 Ma (>50 m changes), permanent East Antarctic ice sheets at 12.8 Ma, and bipolar glaciation at 2.5 Ma. The largest GMSL fall (27 to 20 ka; ~130 m) was followed by a >40 mm/yr rise (19 to 10 ka), a slowing (10 to 2 ka), and a stillstand until ~1900 CE, when rates began to rise. High long-term CO2 caused warm climates and high sea levels, with sea-level variability dominated by periodic Milankovitch cycles.
description: Pacific benthic foramiferal oxygen isotope (d18O) data and global mean sea level estimates (raw and smoothed) for the Cenozoic (past ~66 Myr)
DOI: 10.25921/bcta-wn85
title: NOAA/WDS Paleoclimatology - Howard - Abbey Church - QUSP - ITRDB BRIT091

description: Tree ring data from the International Tree Ring Data Bank and World Data Center for Paleoclimatology archives.  Most data sets include raw treering measurements (most are annual ring width, with some collections of earlywood or latewood width or wood density), plus chronologies (standardized growth indices for a site compiled from multiple treering samples). Reconstructions of climate variables are included with some of these data sets.  Each data type is stored in a separate data file; the data type is coded into the file name. For details please see: http://www.ncdc.noaa.gov/paleo/treeinfo.htmll
description: Tree-ring analysis of timbers from the presbytery roof, Abbey church of St Albans, St Albans, Hertfordshire. The ring width series for samples included in site sequence STACSQ03 which spans the period AD 969-1053. NOAA Template Raw Measurements file added 2020-03-09. July 2024: Elevation added by WDS-Paleo using get_elev_point() from the elevatr R package with the AWS Terrain Tiles (aws) and WGS 84 reference frame.
DOI: 10.25921/bjsy-3w32
title: NOAA/WDS Paleoclimatology - Bjornfjell, Norway Air Temperature Reconstructions during the last 12,000 Years

description: Chironomids (non-biting midges) have been used in palaeoenvironmental studies in Eurasia since the 1920s. Initially changes in chironomid assemblages were largely interpreted as a response to changes in trophic status or water depth. It was only with the advent of chironomid-temperature inference models in the early 1990s that their potential as palaeoclimatic indicators was fully exploited. This paper provides a brief review of the pioneering studies but focuses on the most recent advances. Better taxonomic resolution of fossil midges, expansion of modern training sets, use of air temperature data derived from meteorological stations rather than surface-water temperature data, and Bayesian statistical approaches have lead to improvements in the performance of chironomid-temperature transfer functions. Applications of these transfer functions to derive chironomid-inferred temperature estimates from Lateglacial (ca 15,000–11,200 cal. yr BP) and Holocene (11,200 cal. yr BP to Present) sequences from throughout Eurasia are reviewed in this paper. Chironomid-inferred Lateglacial reconstructions closely reflect oxygen isotope records from Greenland ice cores. Holocene reconstructions are less consistent. Some closely follow instrumental records or corroborate other proxy data, while other reconstructions are less successful. As a result of soil development during the Holocene, changes in pH, nutrients, DO and DOC had a greater influence than temperature on the composition of some midge assemblages. One way to mitigate this is through consensus temperature reconstructions from several sites in the same region. The challenge for future workers is for further improvement in taxonomic resolution of sub-fossil chironomid larvae, to improve further the performance of chironomid-temperature inference models, to develop training sets for southern Europe and Russia and to improve our understanding of the ecological responses of chironomids.
description: This dataset was contributed as part of the Temperature-12k project (https://doi.org/10.25921/4RY2-G808). Data were contributed to the project from the original data generators, who are listed in the Investigator field of this template file. Additional notes regarding the use of these data in the Temperature-12k project can be found in the LiPD file listed as an Online_Resource of this template file.
DOI: 10.25921/bc72-kt40
title: NOAA/WDS Paleoclimatology - Treml - Šišák - PCAB - ITRDB CZEC025

description: Extreme tree growth reductions represent events of abrupt forest productivity decline and carbon sequestration reduction. An increase in their magnitude can represent an early warning signal of impending tree mortality. Yet the long-term trends in extreme growth reductions remain largely unknown. We analyzed the trends in the proportion of trees exhibiting extreme growth reductions in two Central-European conifer species - Pinus sylvestris (PISY) and Picea abies (PCAB) - between 1901 and 2018. We used a novel approach for extreme growth reduction quantification by relating their size to their mean recurrence interval. Twenty-eight sites throughout Czechia and Slovakia with 1120 ring width series representing high- and low-elevation forests were inspected for extreme growth reductions with recurrence intervals of 15 and 50 years along with their link to climatic drivers. Our results show the greatest growth reductions at low-elevation PCAB sites, indicating high vulnerability of PCAB to drought. The proportions of trees exhibiting extreme growth reductions increased over time at low-elevation PCAB, decreased recently following an abrupt increase in the 1970-1980s at high-elevation PCAB, and showed nonsignificant trends in high- and low-elevation PISY. Climatic drivers of extreme growth reductions, however, shifted over time for all site categories as the proportion of low-temperature-induced extreme growth reductions declined since the 1990s, whereas events caused by drought consistently increased in frequency during the same period. We observed higher growth volatility at the lower range of distribution compared with the upper range margin of PISY and PCAB. This will undoubtedly considerably impact tree growth and vitality as temperatures and incidence of drought in Central Europe are expected to further increase with ongoing climate change.
description: Extreme growth reductions in Central-European Pinus sylvestris (PISY) and Picea abies (PCAB). NOAA Template Raw Measurements file added 2021-12-29.