skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Explore Research Products in the PAR
It may take a few hours for recently added research products to appear in PAR search results.


Title: Age of the Plio-Pleistocene boundary in the Vrica section, southern Italy (Dataset)
Paleomagnetic, rock magnetic, or geomagnetic data found in the MagIC data repository from a paper titled: Age of the Plio-Pleistocene boundary in the Vrica section, southern Italy  more » « less
Award ID(s):
2126298
PAR ID:
10558620
Author(s) / Creator(s):
; ; ;
Publisher / Repository:
Magnetics Information Consortium (MagIC)
Date Published:
Subject(s) / Keyword(s):
Sedimentary Sediment Layer Silty Claystone Marine Marls 1500000 2300000 Years BP
Format(s):
Medium: X
Location:
(Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0); (Latitude:39; Longitude:17.0)
Right(s):
Creative Commons Attribution 4.0 International
Institution:
LDEO Paleomagnetics Lab Lamont-Doherty Earth Observatory, Columbia University, USA
Sponsoring Org:
National Science Foundation
More Like this
  1. ; ; ; ; (, Proceedings of the 2021 International Association for Statistical Education Satellite Conference)
    What happens when a diverse group of youth ages 11 through 14 are introduced to data science using authentic, public, multivariate data in an out-of-school context assuming no special prerequisite knowledge? We designed three 10-hour Data Club modules in which real-world data and the questions students asked of such data drove the learning process. Each module was grounded in a topic that youth connected with at a personal level. Youth learned how to use a free online data platform that made it easy to rearrange, group, filter, and graph data. Within the progression of the module, we used youths’ own questions, data moves, and data visualizations to engage them in critical inquiry and foster productive habits of mind for working with data. Our goal was for youth to emerge from the Data Clubs experience feeling empowered to interact with, ask questions of, and reason about and from data. 
    more » « less
  2. ; ; ; ; ; ; ; ; ; ; et al (, Earth System Science Data)
    Abstract. The Global Ocean Data Analysis Project (GLODAP) is a synthesis effort providing regular compilations of surface to bottom ocean biogeochemical bottle data, with an emphasis on seawater inorganic carbon chemistry and related variables determined through chemical analysis of seawater samples. GLODAPv2.2023 is an update of the previous version, GLODAPv2.2022 (Lauvset et al., 2022). The major changes are as follows: data from 23 new cruises were added. In addition, a number of changes were made to the data included in GLODAPv2.2022. GLODAPv2.2023 includes measurements from more than 1.4 million water samples from the global oceans collected on 1108 cruises. The data for the now 13 GLODAP core variables (salinity, oxygen, nitrate, silicate, phosphate, dissolved inorganic carbon, total alkalinity, pH, chlorofluorocarbon-11 (CFC-11), CFC-12, CFC-113, CCl4, and SF6) have undergone extensive quality control with a focus on the systematic evaluation of bias. The data are available in two formats: (i) as submitted by the data originator but converted to World Ocean Circulation Experiment (WOCE) exchange format and (ii) as a merged data product with adjustments applied to minimize bias. For the present annual update, adjustments for the 23 new cruises were derived by comparing those data with the data from the 1085 quality-controlled cruises in the GLODAPv2.2022 data product using crossover analysis. SF6 data from all cruises were evaluated by comparison with CFC-12 data measured on the same cruises. For nutrients and ocean carbon dioxide (CO2), chemistry comparisons to estimates based on empirical algorithms provided additional context for adjustment decisions. The adjustments that we applied are intended to remove potential biases from errors related to measurement, calibration, and data-handling practices without removing known or likely time trends or variations in the variables evaluated. The compiled and adjusted data product is believed to be consistent to better than 0.005 in salinity, 1 % in oxygen, 2 % in nitrate, 2 % in silicate, 2 % in phosphate, 4 µmol kg−1 in dissolved inorganic carbon, 4 µmol kg−1 in total alkalinity, 0.01–0.02 in pH (depending on region), and 5 % in the halogenated transient tracers. The other variables included in the compilation, such as isotopic tracers and discrete CO2 fugacity (fCO2), were not subjected to bias comparison or adjustments. The original data, their documentation, and DOI codes are available at the Ocean Carbon and Acidification Data System of NOAA National Centers for Environmental Information (NCEI), which also provides access to the merged data product. This is provided as a single global file and as four regional ones – the Arctic, Atlantic, Indian, and Pacific oceans – under https://doi.org/10.25921/zyrq-ht66 (Lauvset et al., 2023). These bias-adjusted product files also include significant ancillary and approximated data, which were obtained by interpolation of, or calculation from, measured data. This living data update documents the GLODAPv2.2023 methods and provides a broad overview of the secondary quality control procedures and results. 
    more » « less
  3. ; ; ; ; ; ; ; ; (, Transactions in GIS)
    ABSTRACT The OpenStreetMap (OSM) project allows volunteers in the community to contribute and manage spatial data collaboratively and provides free spatial data with global coverage to the public. OSM data have been widely used in many applications. However, the quality of OSM data can be inconsistent due to the crowdsourcing nature of the OSM project. This study compares the OSM road data with the national road data from the U.S. Census Topologically Integrated Geographic Encoding and Referencing system (TIGER) project in the contiguous United States. Specifically, we used three indicators to examine the completeness and positional accuracy of the OSM road data at the county level. Then we performed spatial analysis to study the patterns of the discrepancies. Our results show that OSM road data are inconsistent in completeness and positional accuracy across different counties. Finally, we compared the three indicators among metropolitan, nonmetropolitan, and rural counties with Analysis of Variance (ANOVA) and Boxplot. The results show that the OSM road data in metropolitan counties have better completeness and positional accuracy than those in nonmetropolitan and rural counties. This study can improve our understanding of the quality of OSM road data in the United States, which in turn can help the OSM community improve the quality of road data and allow data users to better use OSM road data in different applications. 
    more » « less
  4. ; (, American Journal of Botany)
    Traditionally, the generation and use of biodiversity data and their associated specimen objects have been primarily the purview of individuals and small research groups. While deposition of data and specimens in herbaria and other repositories has long been the norm, throughout most of their history, these resources have been accessible only to a small community of specialists. Through recent concerted efforts, primarily at the level of national and international governmental agencies over the last two decades, the pace of biodiversity data accumulation has accelerated, and a wider array of biodiversity scientists has gained access to this massive accumulation of resources, applying them to an ever‐widening compass of research pursuits. We review how these new resources and increasing access to them are affecting the landscape of biodiversity research in plants today, focusing on new applications across evolution, ecology, and other fields that have been enabled specifically by the availability of these data and the global scope that was previously beyond the reach of individual investigators. We give an overview of recent advances organized along three lines: broad‐scale analyses of distributional data and spatial information, phylogenetic research circumscribing large clades with comprehensive taxon sampling, and data sets derived from improved accessibility of biodiversity literature. We also review synergies between large data resources and more traditional data collection paradigms, describe shortfalls and how to overcome them, and reflect on the future of plant biodiversity analyses in light of increasing linkages between data types and scientists in our field. 
    more » « less
  5. ; ; ; ; ; ; (, CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems)
    While data are the backbone for home Internet of Things’ (IoT) functional and economic model, data remain elusive and abstract for home dwellers. In response, we present the Odd Interpreters (OIs): a collection of three artifacts that materialize alternative ways of engaging with IoT data in home environments. The OIs recast home data as imaginative sounds (Broadcast), fading fabric (Soft Fading), and cookie recipes (Data Bakery) with the intent to reveal the hidden human labor and material infrastructures of data and to critique data's assumed objectivity. Following a Research-through-Design approach, we unpack design events that mark our process for making the Odd Interpreters. We conclude with a discussion around the need for pluralizing data encounters, the tactic of designing between illusion and precision, and a reflection on living with the prototypes while designing. 
    more » « less
  • Citation Formats
  • MLA
  • APA
  • Chicago
  • BibTeX
  • Save / Share this Record
  • Send to Email