cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.z79pdk
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Impatiens florigera C.B.Clarke ex Hook.fil."
 ]
}

 The dataset includes 18 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032356-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dec3zv
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045156-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11583/dtu.25979251
title: Example data set for Jupyter notebook

description: High-resolution transmission electron microscopy (HRTEM) is an important technique for investigating nanoparticles at atomic resolution. One drawback is that the intense electron beam required for sufficient electron signal can be harmful for the sample. Lowering the electron beam intensity (electron dose rate) can cause less damage to the sample. However, the latter can result in images drowning in noise. Novel techniques applying neural networks in machine learning can be applied to detect events during a series of HRTEM images recorded at low electron dose rate.To assist the machine learning approach, novel signal-to-noise ratio (SNR) models are applied to series of HRTEM images at varied electron dose rates. Furthermore, a novel approach of structural similarity index measurement (SSIM), where each frame is compared to an adjacent frame, is applied to the HRTEM image series.The HRTEM image series consist of .dm4 files for each point in time. All files are compressed into a folder (.zip). The dataset provided is an example of 50 frames, each recorded at 0.2 s exposure time, at a fixed dose rate.Obtaining SNR and SSIM values of the HRTEM image series is done using Jupyter notebooks. An example of such is obtainable at a GitLab repository: https://gitlab.com/wibang_dtu_91dk/doserate-snr-ssim/The Jupyther notebook loads the individual .dm4 files into a stack. Using a specific package called HyperSpy, the user can browse through the series and subsequently extract data from selected areas used for the SNR and SSIM. The Jupyter notebook exports the data into data sheets (.csv), which can be loaded into other scripts for further treatments. Finally, the script can also export the data as a video (.mp4 and .gif) at a specified frame rate.The main work referring to the Jupyter notebook and dataset is a recently accepted article: W. B. Lomholdt, M. H. L. Larsen, C. N. Valencia, J. Schiøtz and T. W. Hansen, "Interpretability of high-resolution transmission electron microscopy images", <i>Ultramicroscopy, </i>vol. 263, 2024, pp. 113997,<i> </i>https://doi.org/10.1016/j.ultramic.2024.113997
DOI: 10.11583/dtu.25979251.v1
title: Example data set for Jupyter notebook

description: High-resolution transmission electron microscopy (HRTEM) is an important technique for investigating nanoparticles at atomic resolution. One drawback is that the intense electron beam required for sufficient electron signal can be harmful for the sample. Lowering the electron beam intensity (electron dose rate) can cause less damage to the sample. However, the latter can result in images drowning in noise. Novel techniques applying neural networks in machine learning can be applied to detect events during a series of HRTEM images recorded at low electron dose rate.To assist the machine learning approach, novel signal-to-noise ratio (SNR) models are applied to series of HRTEM images at varied electron dose rates. Furthermore, a novel approach of structural similarity index measurement (SSIM), where each frame is compared to an adjacent frame, is applied to the HRTEM image series.The HRTEM image series consist of .dm4 files for each point in time. All files are compressed into a folder (.zip). The dataset provided is an example of 50 frames, each recorded at 0.2 s exposure time, at a fixed dose rate.Obtaining SNR and SSIM values of the HRTEM image series is done using Jupyter notebooks. An example of such is obtainable at a GitLab repository: https://gitlab.com/wibang_dtu_91dk/doserate-snr-ssim/The Jupyther notebook loads the individual .dm4 files into a stack. Using a specific package called HyperSpy, the user can browse through the series and subsequently extract data from selected areas used for the SNR and SSIM. The Jupyter notebook exports the data into data sheets (.csv), which can be loaded into other scripts for further treatments. Finally, the script can also export the data as a video (.mp4 and .gif) at a specified frame rate.The main work referring to the Jupyter notebook and dataset is a recently accepted article: W. B. Lomholdt, M. H. L. Larsen, C. N. Valencia, J. Schiøtz and T. W. Hansen, "Interpretability of high-resolution transmission electron microscopy images", <i>Ultramicroscopy, </i>vol. 263, 2024, pp. 113997,<i> </i>https://doi.org/10.1016/j.ultramic.2024.113997
DOI: 10.15468/dl.yhv98p
title: Occurrence Download

description: A dataset containing 1542408043 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1542408043 records from 27542 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0226789-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wzhpcknfv6.1
title: Manuscript1_dataset

description: This study investigated how perceived political risk (PPR) influences travel avoidance (TA) among Japanese tourists, considering information search (IS) as a mediator and uncertainty avoidance (UA) as a moderator, within the framework of Protection Motivation Theory (PMT). The following hypotheses were tested:
PPR is positively associated with TA.
PPR is positively associated with IS.
IS is positively associated with TA.
IS mediates the relationship between PPR and TA.
UA moderates the relationships between PPR, IS, and TA.

Data Description and Collection
The dataset comprises responses from 411 Japanese prospective tourists, collected via an online survey distributed through SurveyMonkey between November and December 2024. Participants were selected using a random sampling method. The survey instrument was back-translated from English to Japanese to ensure semantic equivalence (Brislin, 1970). The questionnaire included validated items on four constructs—PPR, IS, TA, and UA—drawn from prior peer-reviewed literature.

Each construct was measured using multiple Likert-scale items (1 = Strongly Disagree to 5 = Strongly Agree). Sociodemographic data such as gender, age, education, and travel frequency were also collected.

Data Analysis and Key Findings
Exploratory and Confirmatory Factor Analyses (EFA & CFA) confirmed the validity and reliability of the measurement model.

Structural Equation Modeling (SEM) supported all hypothesized direct effects:

PPR → IS (β = 0.452, p &lt; .001)

IS → TA (β = 0.318, p &lt; .001)

PPR → TA (β = 0.250, p &lt; .001)

Mediation analysis showed that IS partially mediates the relationship between PPR and TA.

Moderation analysis revealed that UA significantly moderates the effects of PPR on IS and of IS on TA, but not the direct effect of PPR on TA.

Correlation analysis showed that UA was consistent across demographic variables, confirming it as a culturally stable construct.

Interpretation and Reuse
The dataset enables replication of the mediation and moderation analyses using statistical tools such as SPSS (with PROCESS macro) and AMOS. Researchers studying cross-cultural risk perception, political instability, or tourism psychology may use this dataset to explore how cultural traits influence risk-mitigation behaviors. Given Japan’s high UA score, comparative studies involving cultures with low UA (e.g., Scandinavian or Anglo countries) could yield cross-cultural insights.

Access to Data
The dataset supporting these findings is available from the corresponding author upon reasonable request. Access will be granted for academic and non-commercial use only, in compliance with privacy and ethical guidelines.

For further details or to request access, please contact:
Dr. Musa Z. M. Elzubeir
Email: zakariamusa278@gmail.com
DOI: 10.25921/5b2k-0c28
title: NOAA/WDS Paleoclimatology - Luckman - Blanchard River - PCSI - ITRDB CANA358

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: 10.25921/5dwp-bz88
title: NOAA/WDS Paleoclimatology - Voelker - MOFEP Site 7 - QUVE - ITRDB MO070

description: Despite experimental evidence showing that elevated CO2 levels increase growth in most plants, the isolation of a signal consistent with anthropogenically caused increases in atmospheric CO2 from the dendrochronological record has shown mixed results. Our extensive sets of tree ring data from the Ozark Mountains in Missouri showed that since 1850, Quercus velutina Lam., Quercus coccinea Muench., and Pinus echinata Mill. trees increased in stem growth coincidently with increases in atmospheric CO2. Those long-term increases in radial growth appear unrelated to historical disturbance levels for the region, to long-term changes in relevant climatic variables, or to productivity of sites sampled for the purpose of creating a time sequence of tree ring growth. It is still unclear what the potential role of nitrogen deposition might have been for tree growth. We cross-dated a large number of increment cores and aligned the ring width data by pith date for accurate age constant assessments of growth over the past 150 years. Thus, we circumvented changes in growth trend associated with differences in physiological functioning during development, as well as the need for statistical detrending that removes an unknown degree of long-term environmental signal, the so called segment length curse that applies to standard dendrochronological investigations. When the positive relationship between CO2 and ring width was examined at different ages, an ontogenetic decline in the rate of growth stimulation was found. Specifically, both the pooled Quercus spp. and P. echinata were characterized by a negative exponential pattern of response over a developmental sequence through age 50. Further knowledge of an intrinsic decline in CO2 sensitivity with tree age or size such as this may be important for increased accuracy in estimating terrestrial carbon stocks across successional landscapes.
description: Cores Stored at:
# Oregon State University
# 
# Data were collected on tagged trees from MOFEP plots that were 
# dominated by black oak, scarlet oak and shortleaf pine. The trees were 
# dominant or co-dominant. Each series ID represents the site (first 
# digit) plot (second two digits) and tree (last three digits). NOAA Template Raw Measurements file added 2019-02-08.

# Publication DOI: 10.1890/0012-9615(2006)076[0549:HCGEDW]2.0.CO;2
DOI: 10.25921/5jct-4706
title: NOAA/WDS Paleoclimatology - Cook - Dashkin - JUEX - ITRDB PAKI025

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: 10.25921/50kh-hs88
title: NOAA/WDS Paleoclimatology - Voelker - MOFEP Site 2 - QUVE - ITRDB MO060

description: Despite experimental evidence showing that elevated CO2 levels increase growth in most plants, the isolation of a signal consistent with anthropogenically caused increases in atmospheric CO2 from the dendrochronological record has shown mixed results. Our extensive sets of tree ring data from the Ozark Mountains in Missouri showed that since 1850, Quercus velutina Lam., Quercus coccinea Muench., and Pinus echinata Mill. trees increased in stem growth coincidently with increases in atmospheric CO2. Those long-term increases in radial growth appear unrelated to historical disturbance levels for the region, to long-term changes in relevant climatic variables, or to productivity of sites sampled for the purpose of creating a time sequence of tree ring growth. It is still unclear what the potential role of nitrogen deposition might have been for tree growth. We cross-dated a large number of increment cores and aligned the ring width data by pith date for accurate age constant assessments of growth over the past 150 years. Thus, we circumvented changes in growth trend associated with differences in physiological functioning during development, as well as the need for statistical detrending that removes an unknown degree of long-term environmental signal, the so called segment length curse that applies to standard dendrochronological investigations. When the positive relationship between CO2 and ring width was examined at different ages, an ontogenetic decline in the rate of growth stimulation was found. Specifically, both the pooled Quercus spp. and P. echinata were characterized by a negative exponential pattern of response over a developmental sequence through age 50. Further knowledge of an intrinsic decline in CO2 sensitivity with tree age or size such as this may be important for increased accuracy in estimating terrestrial carbon stocks across successional landscapes.
description: Cores Stored at:
# Oregon State University
# 
# Data were collected on tagged trees from MOFEP plots that were 
# dominated by black oak, scarlet oak and shortleaf pine. The trees were 
# dominant or co-dominant. Each series ID represents the site (first 
# digit) plot (second two digits) and tree (last three digits). NOAA Template Raw Measurements file added 2019-02-08.

Publication DOI: 10.1890/0012-9615(2006)076[0549:HCGEDW]2.0.CO;2
DOI: 10.25921/5sdh-vv94
title: NOAA/WDS Paleoclimatology - Woodhouse - Wild Rose - PIED - CO631, PAGES North America 2K Version

description: Updated proxy reconstructions of water year (October-September) streamflow for four key gauges in the Upper Colorado River Basin were generated using an expanded tree ring network and longer calibration records than in previous efforts. Reconstructed gauges include the Green River at Green River, Utah; Colorado near Cisco, Utah; San Juan near Bluff, Utah; and Colorado at Lees Ferry, Arizona. The reconstructions explain 72-81% of the variance in the gauge records, and results are robust across several reconstruction approaches. Time series plots as well as results of cross-spectral analysis indicate strong spatial coherence in runoff variations across the subbasins. The Lees Ferry reconstruction suggests a higher long-term mean than previous reconstructions but strongly supports earlier findings that Colorado River allocations were based on one of the wettest periods in the past 5 centuries and that droughts more severe than any 20th to 21st century event occurred in the past.
DOI: 10.13140/rg.2.2.36737.86880
title: India, 2016, citation to articles in Sergei Ostroumov's profile:https://www.researchgate.net/publication/309526284; this article was cited: Ostroumov S, Shestakova T (2009) Decreasing measurable concentrations of Cu, Zn, Cd, Pb in water of experimental systems containing Ceratophyllum demersum: phytoremediation potential.
DOI: 10.13140/rg.2.2.10201.93280
title: EJMS Volume 2 Nr 1 May Aug 2016
DOI: 10.25921/5czv-e524
title: NOAA/WDS Paleoclimatology - Buckley - Yolla Bolly - PIBA - CA555, 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: 10.13140/rg.2.2.36005.09445
title: POSTGRADUATE DIPLOMA CERTIFICATE
DOI: 10.25921/5m3j-7z32
title: NOAA/WDS Paleoclimatology - Meko - Carson Pass East and Caples Lake - JUOC - CA630, 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: 10.25921/5fm5-2r58
title: NOAA/WDS Paleoclimatology - Voelker - Lame Johnny Creek - QUMA - ITRDB SD022

description: Paleoclimate proxies based on the measurement of xylem cell anatomy have rarely been developed across the temperature range of a species or applied to wood predating the most recent millennium. Here we describe wood anatomy-based proxies for spring temperatures in central North America from modern bur oaks (Quercus macrocarpa Michx.). The strong coherence of temperature signals across the species range supports the use of these proxies across thousands of years of climatic change. We also used 79 subfossil oak log cross sections from northern Missouri, 14C-dated to 9.9 - 3.63 ka (ka is 1000 cal yr BP), to assess the frequency of oak deposition into alluvial sediments and a subset of these oaks for a wood anatomy-based reconstruction of spring paleotemperatures. Temperatures during the Younger Dryas cold period (YD) were up to 3.5°C lower than modern temperatures for that region, equivalent to or lower than those experienced at the northern edge of the modern species range. Compared to extant oaks growing at much higher [CO2], subfossil oaks had greater vessel frequencies. Besides very low theoretical (or estimated) xylem conductivity near the beginning of the oak record near 13.6 ka, vessel frequencies greater than modern trees compensated for reduced vessel dimensions so that theoretical xylem conductivity was consistently above that of modern trees at the cold northern sites. Significant correlations were found between the frequency of 14C-dated oaks and either d18O from the NGRIP (North Greenland Ice Core Project) ice core or from the Cariaco grayscale marine-sediment record from the southern Caribbean sea. Oak deposition into alluvial sediments during the YD was significantly lower than expected given the average sample depth of oaks from 9.9 to 13.6 ka. Reduced oak deposition during the YD suggests that an abrupt shift in climate reduced oak populations across the region and/or changed the rates of channel movement across drainages.
description: Cores Stored at:
# Oregon State University 
# These cores were taken to measure growth rates, wood anatomy and stable 
# isotope measurements from dominant and co-dominant trees across tree 
# ages. Two cores were taken for each tree but in most cases only one 
# was measured for ring-widths. The other was destructively sampled for 
# stable isotope measurements. NOAA Template Raw Measurements file added 2019-02-08.
DOI: 10.25921/5yqh-gn66
title: NOAA/WDS Paleoclimatology - Kenigsberg - Rancheria2000 - ABLA - ITRDB CANA377

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: 10.25921/5tqq-6d53
title: NOAA/WDS Paleoclimatology - Büntgen - Poprad - PISY - ITRDB SVK006

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 2019-02-05.
DOI: 10.13140/rg.2.2.34170.08643
title: Publications, results of research at Moscow University, https://www.researchgate.net/publication/309549177; environmental science, selected; author: Sergei Andreevich Ostroumov, researcher at Faculty of Biology, award winner; titles, links to ResearchGate; 31.10.2016; in English, in Russian.