cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25921/vh26-ws13
title: NOAA/WDS Paleoclimatology - Sanbao Cave, China Holocene Speleothem Oxygen Isotope Data

description: High-resolution oxygen isotope (d18O) profiles of six stalagmites from Sanbao Cave in Hubei province, central China, established with 1413 oxygen isotope data and 65 230Th ages, provide a continuous history of East Asian Summer Monsoon (EASM) intensity for the period from 13-0.2 thousand years before present (ky BP, relative to AD 1950). The d18O record includes four distinct stages in the evolution of the EASM: (1) an abrupt transition (~11.5 ky BP) into the Holocene; (2) a period of gradual increase in monsoon intensity (11.5-9.5 ky BP); (3) the maximum humid period (9.5-6.5 ky BP); and (4) a period of gradual decline in monsoon intensity (6.5-0.2 ky BP). Comparison of Sanbao with regional records of comparable resolution revealsthat the timing of the beginning and end of the Holocene Optimum (as defined by the minimum in d18O) was similar in the Indian and East Asian monsoon systems. This supports the idea that shifts in the monsoon tied to shifts in the mean position of the Inter-Tropical Convergence Zone (ITCZ) may control monsoon intensity throughout the entire low-latitude region of Asia on orbital timescales. This observation also supports the idea that the fluctuations in d18O recorded across southern Asia reflect broad changes in the monsoon, as opposed to local meteoric precipitation. The EASM records from Sanbao largely follow orbital-scale insolation changes, yet exhibit similar variability to Greenland ice core d18O on millennial to centennial scales during the early to middle Holocene (r = 0.94).
description: High-resolution oxygen isotope data and U/Th dating results over the entire Holocene from 6 stalagmites collected in Sanbao cave, Hubei province, central China.  Stalagmites sb43 and sb10 have hiatus at ~7700-6700 years BP and ~3000-5700 years BP, respectively. Stalagmites sb26, sb27, sb44, and sb49 have no hiatus. Spacing between samples is 2mm for sb49 and sb44, and 1mm for the other samples.  Sanbao Cave: 31°40'N, 110°26'E, 1900 m elev.
DOI: 10.25921/v53v-3w48
title: NOAA/WDS Paleoclimatology - Chu et al. 2008 E. China Snow Events and AO Reconstruction

description: Models and instrumental data indicate that the spatial and temporal variations of snow cover are significantly related to atmospheric circulation (e.g. the AO/NAO). Here, we present historical snow anomaly events during the past two millennia that provide a unique temporal window to studying long-term AO/NAO, a prominent phenomenon in wintertime. Direct descriptions such as “no snow during the winter” and “pray God for snow” are interpreted as convincing evidence for snow anomalies. The variations of positive/negative snow abnormal events show clear decadal to century variations during the past two millennia. Based on the previous instrumental research and comparison with other reconstruction data, we suggest the Index of Abnormal Snow (IAS) may be an AO-like atmospheric variability. The winter during the Medieval Warm Period (MWP) (AD 900–1300) might be strongly influenced by a predominantly positive AO with less snow condition, whereas the Little Ice Age (LIA) (AD 1300–1900) by negative AO concomitant with heavier snowfalls in East Asia. Our data show that a warm climate period (the MWP)/a cold period (the LIA) can be perturbed by a cold spell/a warm spell which are linked with a change in atmospheric circulation. Low-frequency variability of snow records may be intrinsic to the natural climate system. Although the dynamic mechanisms linking snow anomalies with atmospheric circulation (the AO/NAO, the PDO) is unclear on the decadal to century time scales, Pacific Ocean may play an important role in regulating atmospheric circulations since the IAS is highly correlated with the reconstruction of PDO.
DOI: 10.25921/vg6x-s667
title: NOAA/WDS Paleoclimatology - Maxwell - New River Gorge National River - PIVI - ITRDB WV004

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: NOAA Template Raw Measurements file added 2019-02-08.
DOI: 10.25921/vcb3-yb52
title: NOAA/WDS Paleoclimatology - Salzer - Cottonwood Lower - PILO - ITRDB CA669

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: NOAA Template Raw Measurements file added 2019-02-08.
DOI: 10.5281/zenodo.16096335
title: LibMovIt: text corpus of travel literature

description: LibMovIt: text corpus of travel literature is a textual resource created within the LibMovIt project (Progetto  finanziato  dall’Unione  Europea  –  NextGenerationEU  a  valere  sul  Piano  Nazionale  di  Ripresa  e  Resilienza  (PNRR) – Missione 4 Istruzione e ricerca – Componente 2 Dalla ricerca all’impresa – Investimento 1.1, Avviso Prin 2022 indetto con DD N. 104 del 2/2/2022, Progetto dal titolo LIBMOVIT – Libraries on the move: scholars, books, ideas trave-ling in Italy in the 18th century, codice proposta 2022CP88KY).

Version 1.0 of the corpus contains 52 works for 7,9 milion words: 27 in English (3,590,000 words), 12 in French (2,065,000), 8 in German (1,550,000), 4 in Italian (450,000) and 1 in Spanish (255,000). A detailed description of the corpus and the status of each text (tags: "Revision completed" or "Revision to be completed") is available in a Zotero library at the following link: https://www.zotero.org/groups/5540957/libmovit/library

Texts are published in .txt format. They are the result of both automatic text recognition and acquisition from other projects (indicated as tags in the corpus description). All the newly recognised texts have been reviewed with scripts to clean up the most common errors and delete paratextual elements (page numbers, catchwords, signature marks etc.). The editors of the corpus made manual corrections in all the texts, however, due to their lenghth, some of them still need further revision. 

For this reason, minor updates of the corpus (1.1, 1.2, 1.3 etc.) will be released regularly to improve the texts with further corrections, text mark-up and conversion to other formats; a major update of the corpus will be released once a year and will also include new texts.

Additional information about the corpus development are described in the papers listed in the references section.
DOI: 10.25921/vcq1-8q93
title: NOAA/WDS Paleoclimatology - Stahle - The Indians - QUDG - ITRDB CA658

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: NOAA Template Chronology file added 2018-12-20. NOAA Template Raw Measurements file added 2019-02-08.
DOI: 10.5281/zenodo.16096334
title: LibMovIt: text corpus of travel literature

description: LibMovIt: text corpus of travel literature is a textual resource created within the LibMovIt project (Progetto  finanziato  dall’Unione  Europea  –  NextGenerationEU  a  valere  sul  Piano  Nazionale  di  Ripresa  e  Resilienza  (PNRR) – Missione 4 Istruzione e ricerca – Componente 2 Dalla ricerca all’impresa – Investimento 1.1, Avviso Prin 2022 indetto con DD N. 104 del 2/2/2022, Progetto dal titolo LIBMOVIT – Libraries on the move: scholars, books, ideas trave-ling in Italy in the 18th century, codice proposta 2022CP88KY).

Version 1.0 of the corpus contains 52 works for 7,9 milion words: 27 in English (3,590,000 words), 12 in French (2,065,000), 8 in German (1,550,000), 4 in Italian (450,000) and 1 in Spanish (255,000). A detailed description of the corpus and the status of each text (tags: "Revision completed" or "Revision to be completed") is available in a Zotero library at the following link: https://www.zotero.org/groups/5540957/libmovit/library

Texts are published in .txt format. They are the result of both automatic text recognition and acquisition from other projects (indicated as tags in the corpus description). All the newly recognised texts have been reviewed with scripts to clean up the most common errors and delete paratextual elements (page numbers, catchwords, signature marks etc.). The editors of the corpus made manual corrections in all the texts, however, due to their lenghth, some of them still need further revision. 

For this reason, minor updates of the corpus (1.1, 1.2, 1.3 etc.) will be released regularly to improve the texts with further corrections, text mark-up and conversion to other formats; a major update of the corpus will be released once a year and will also include new texts.

Additional information about the corpus development are described in the papers listed in the references section.
DOI: 10.25921/vdzj-1p77
title: NOAA/WDS Paleoclimatology - St-Onge - Fifty Kilometres - PIBN - ITRDB CANA294

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: NOAA Template Raw Measurements file added 2019-02-04.
DOI: 10.5281/zenodo.17351689
title: imagine-decoding-challenge

description: Can you decode which images people were thinking of from data recorded while they were visually seeing these images?

In memory research, decoders are often trained on localizer data to extract neural activation patterns of specific stimuli (e.g., “what pattern occurs when we see a clown”). Taken as evidence for reprocessing, these decoders are then used to detect pattern presence in other parts of the experiment (e.g., “after learning something about clowns, we can see the activation pattern of ‘clown’ being more active than expected; that means knowledge is being consolidated”). But how well does this actually work?

We recorded a simple paradigm in the Magnetoencephalograph (MEG) in which we showed ten different visual items many times to participants. Later, we played back spoken words describing the items while they had their eyes closed and asked them to mentally visualize the items associated with the word as vividly as possible. Can you train a decoder on the visual presentation (localizer) and decode which item people imagined?

see https://github.com/skjerns/the-imagine-decoding-challenge/ and https://github.com/skjerns/imagine-decoding-challenge
DOI: 10.25921/vp48-0p76
title: NOAA/WDS Paleoclimatology - St-Onge - Ingraham Trail - PIBN - ITRDB CANA293

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: NOAA Template Raw Measurements file added 2019-02-04.
DOI: 10.5281/zenodo.17351690
title: imagine-decoding-challenge

description: Can you decode which images people were thinking of from data recorded while they were visually seeing these images?

In memory research, decoders are often trained on localizer data to extract neural activation patterns of specific stimuli (e.g., “what pattern occurs when we see a clown”). Taken as evidence for reprocessing, these decoders are then used to detect pattern presence in other parts of the experiment (e.g., “after learning something about clowns, we can see the activation pattern of ‘clown’ being more active than expected; that means knowledge is being consolidated”). But how well does this actually work?

We recorded a simple paradigm in the Magnetoencephalograph (MEG) in which we showed ten different visual items many times to participants. Later, we played back spoken words describing the items while they had their eyes closed and asked them to mentally visualize the items associated with the word as vividly as possible. Can you train a decoder on the visual presentation (localizer) and decode which item people imagined?

see https://github.com/skjerns/the-imagine-decoding-challenge/ and https://github.com/skjerns/imagine-decoding-challenge
DOI: 10.25921/vgxh-bj02
title: NOAA/WDS Paleoclimatology - Malevich - Dalton Reservoir Update - PIPO - ITRDB CA676

description: This work presents the first tree-ring reconstructions of hydroclimate for the Upper Klamath River basin, which stretches from northern California into southern Oregon. The extended record provides a centuries-long perspective on the region’s hydroclimatic variability and context for water-related political issues that have erupted in recent years. Reconstructions of water-year precipitation for Klamath Falls, Oregon (extending 1564-2004 and 1000-2010 CE) were developed to compare past drought severity with drought severity of the instrumental record (extending 1896-2011). The reconstructions suggest that variability exhibited during the instrumental period captures extremes of moderate-to-long-duration (6-, 10-, and 20-year) droughts, but not of short (single-year and 3-year) and very long (50-year) droughts, which were more severe during the 11th-13th centuries. The late-16th-century “mega drought” is present in the Klamath River basin, though with less strength than in the neighboring Sacramento River basin. Cool-season storm tracks appear to be a direct driver of hydroclimatic variability, leading to instances of see-saw like relationships with neighboring regions, such as in the mid-14th century. In contrast, the larger area of drought in the 12th century is suggestive of a long-term northward shift in cool-season storm tracks.
description:  NOAA Template Chronology file added 2018-12-20. NOAA Template Raw Measurements file added 2019-02-08.
DOI: 10.25921/v0r0-fj62
title: NOAA/WDS Paleoclimatology - Luckman - Seltat Creek - PCSI - ITRDB CANA361

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: NOAA Template Raw Measurements file added 2019-02-04.
DOI: 10.25921/va7k-9n42
title: NOAA/WDS Paleoclimatology - Shao - Huashan HSE - PIAM - ITRDB CHIN056

description: Past global climate changes had strong regional expression. To elucidate their spatio-temporal pattern, we reconstructed past temperatures for seven continental-scale regions during the past one to two millennia. The most coherent feature in nearly all of the regional temperature reconstructions is a long-term cooling trend, which ended late in the nineteenth century. At multi-decadal to centennial scales, temperature variability shows distinctly different regional patterns, with more similarity within each hemisphere than between them. There were no globally synchronous multi-decadal warm or cold intervals that define a worldwide Medieval Warm Period or Little Ice Age, but all reconstructions show generally cold conditions between ad 1580 and 1880, punctuated in some regions by warm decades during the eighteenth century. The transition to these colder conditions occurred earlier in the Arctic, Europe and Asia than in North America or the Southern Hemisphere regions. Recent warming reversed the long-term cooling; during the period ad 1971-2000, the area-weighted average reconstructed temperature was higher than any other time in nearly 1,400 years.
description: Purpose of Collection: 
# Climatology - temperature analyses NOAA Template Raw Measurements file added 2019-04-08.
DOI: 10.25921/v8a6-x489
title: NOAA/WDS Paleoclimatology - Cook - Chitral-Gol NP - CDDE - ITRDB PAKI022

description: Past global climate changes had strong regional expression. To elucidate their spatio-temporal pattern, we reconstructed past temperatures for seven continental-scale regions during the past one to two millennia. The most coherent feature in nearly all of the regional temperature reconstructions is a long-term cooling trend, which ended late in the nineteenth century. At multi-decadal to centennial scales, temperature variability shows distinctly different regional patterns, with more similarity within each hemisphere than between them. There were no globally synchronous multi-decadal warm or cold intervals that define a worldwide Medieval Warm Period or Little Ice Age, but all reconstructions show generally cold conditions between ad 1580 and 1880, punctuated in some regions by warm decades during the eighteenth century. The transition to these colder conditions occurred earlier in the Arctic, Europe and Asia than in North America or the Southern Hemisphere regions. Recent warming reversed the long-term cooling; during the period ad 1971-2000, the area-weighted average reconstructed temperature was higher than any other time in nearly 1,400 years.
description: Purpose of Collection: 
# Climatology - temperature analyses NOAA Template Raw Measurements file added 2019-04-08. 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/vha8-n577
title: NOAA/WDS Paleoclimatology - Woodhouse - Island Lake - PIFL - CO511, PAGES North America 2K Version

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
DOI: 10.25921/vt4y-6t23
title: NOAA/WDS Paleoclimatology - Youngblut - Lakit - PIAL - ITRDB CANA399

description: We present a network of thirteen annual ring-width chronologies from high elevation whitebark pine (Pinus albicaulis Engelm.) sites in the western Canadian Cordillera in order to assess the dendroclimatic potential of this long-lived tree species. The temperature signal within the chronologies is complex and strongly influenced by diverging trends in the summer temperature and ring-width records from across the region. A first differences transformation of the tree-ring and temperature records illustrates a loss of frequency coherence in growth response to summer temperatures following reduced radial growth in the 1950s. Prior to reduced growth, we note a positive association with summer temperatures for both first differenced (rd = 0.60) and traditional (r = 0.50) records. Following reduced growth, the association at first differences is maintained (rd = 0.49) whereas there is a change in the lower frequency component of tree growth response to summer temperatures (r = -0.34). We suggest the cause of this reduced temperature sensitivity is related to the interaction between diurnal temperature and cloud cover patterns, the hydrological regime of snowpack, and site conditions which have been amenable to the initiation of moisture stress during the latter half of the 20th century. Reduced radial growth is coincident with the arrival of white pine blister rust (Cronatium ribicola J.C. Fisch. ex Raben) into the study region which suggests this infestation may be related to the observed reduction in radial growth. Whitebark pine has considerable potential for the field of dendroclimatology. Unfortunately, the decline of the species due to the combined effects of climate change, white pine blister rust, mountain pine beetle (Dendroctonus ponderosae Hopk.), and forest fire exclusion practices indicate this potential may remain unfulfilled.
description: NOAA Template Raw Measurements file added 2019-02-04.