cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7289/v5w66hpp
title: U.S. Coastal Relief Model Vol.3 - Florida and East Gulf of Mexico

description: NGDC's U.S. Coastal Relief Model (CRM) provides the first comprehensive view of the U.S. coastal zone integrating offshore bathymetry with land topography into a seamless representation of the coast. The CRM spans the U.S. East and West Coasts, the northern coast of the Gulf of Mexico, Puerto Rico, and Hawaii, reaching out to, and in places even beyond, the continental slope. Bathymetric and topographic data sources include: NGDC's NOS hydrographic surveys, multibeam bathymetry, and trackline bathymetry; the U.S. Geological Survey (USGS); and other federal government agencies and academic institutions. Bathymetric contours from the International Bathymetric Chart of the Caribbean Sea and the Gulf of Mexico project were also used. Digital elevation models (DEMs) of the Great Lakes, Southern Alaska, and high-resolution DEMs of U.S. coastal communities and territories are also available.
DOI: 10.7924/r4348ph5t
title: Data from: Continent-wide tree fecundity driven by indirect climate effects

description: Indirect climate risks for tree fecundity that come through variation in size and growth  (climate-conditions interactions; CCI) are not currently part of models used to anticipate forest regeneration. 

Yet CCI may be among the most-important mechanisms needed to accurately predict forest responses to climate change. Meta-analyses of trends and species distribution models to predict them will be misleading if responses depend on the condition of individual trees. 

A synthesis of tree species in North America shows that CCI dominate through two pathways, i) effects of growth on fecundity that depend on climate, and ii) effects of climate that depend on tree size. Because fecundity declines in large trees, climate changes that stimulate growth move small trees into more fecund and large trees into less fecund size classes. There is a biogeographic divide to this CCI, reducing fecundity in the West and increasing it in the East. Continental-scale responses to climate change are thus dominated by interactions at the individual scale, highlighting the importance of ecosystem management that considers multiple demographic rates.
DOI: 10.15485/1824222
title: FTICR-MS Data from Multi-continent River Water and Sediment and from Coastal River Fresh and Saline Sediment Associated with: “Dissolved Organic Matter Functional Trait Relationships are Conserved Across Rivers”

description: This data package is associated with the publication “Dissolved Organic Matter Functional Trait Relationships are Conserved Across Rivers” submitted to PNAS (Stegen et al., 2023). The study aims to understand large-scale spatial structure of the dissolved organic matter (DOM) thermodynamic traits and inter-trait relationships by investigating (1) river water and sediments collected along 97 rivers spanning 3 continents and (2) coastal sediment collected from fresh and saline locations in Pacific and Gulf/Atlantic rivers. Sediment extracts and water samples were analyzed using ultrahigh resolution Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS). This dataset is comprised of three folders (1) Coastal, (2) WHONDR_S19S, and (3) Data_Dictionaries. Coastal contains (1) a subfolder with processed FTICR-MS data as csv files and sample collection metadata, (2) a subfolder with R scripts used to process the data and create associated figures, (3) a subfolder with the raw, unprocessed FTICR-MS data as .xml files, and (4) a readme file with more information about the dataset and instructions for using Formularity (https://omics.pnl.gov/software/formularity). WHONDRS_S19S contains (1) a csv file with processed FTICR data, (2) a csv with sample collection metadata, (3) a csv with sample geospatial data, (4) a csv with simulated lambda model outputs, (5) a subfolder with R scripts used to process the data and create associated figures, and (6) a readme file with more information regarding WHONDRS raw FTICR data and processing scripts. Data_Dictionaries contains data dictionaries for each csv file in the data package. The 97 global river corridors were part of a WHONDRS (https://whondrs.pnnl.gov) study. The raw, unprocessed FTICR-MS data with additional data can be found at doi:10.15485/1729719 for sediments and doi:10.15485/1603775 for water. This data package contains the processed data used in the associated manuscript. The coastal data has not been previously published, and this data package contains both the raw and processed data. Version 3 of this data package published February 2023 includes updates to the title of the manuscript, additional data and data dictionary and updated scripts linked to new analysis.
DOI: 10.5519/qd.hwr6i0wb
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (71 records)
DOI: 10.5281/zenodo.11186906
title: Growth and morphological measurements of the coccolithophore Emiliania huxleyi under three salinity conditions

description: Three datasets presenting results from laboratory culture experiments with the coccolithophore Emiliania huxleyi (Norwegian coastal strain PLYB11 and Mediterranean Sea strain RCC1232) grown for a duration of 156 h under salinity 25 (hyposaline/low salinity), salinity 35 (control) and salinity 45 (hypersaline/high salinity) conditions.Cell concentrations and cell size (mean and standard deviation of triplicate counts) were measured using a CASY automated cell counter. Morphometric measurements of coccolith length, coccosphere size and number of coccoliths per cell were measured on scanning electron microscopy images. 

Supplementary Fig. S1 shows scanning electron microscopy (SEM) images of E. huxleyi coccosphere from strains PLYB11 and RCC1232 under salinity 25, 35, 45 conditions during the early (first 48 h), middle (76-100 h), and end (last 48 h) of each 156-h experiment. A full caption is included within the image file.

These datasets are associated with the following manuscript:

Sheward, R. M., Gebühr, C., Bollmann, J. and Herrle, J. O. Short-term response of Emiliania huxleyi growth and morphology to abrupt salinity stress. EGUsphere (preprint), https://doi.org/10.5194/egusphere-2024-349.

 

Correspondence to: Rosie M. Sheward (sheward@em.uni-frankfurt.de)
DOI: 10.17189/1414222
title: MAVEN Solar Wind Electron Analyzer (SWEA) Archive Rate Electron Pitch Angle Distributions Data Collection

description: A collection of MAVEN Solar Wind Electron Analyzer (SWEA) electron pitch angle distributions in units of differential energy flux (eV/cm**2 sec ster eV) at the MAVEN archive telemetry rate.
DOI: 10.1594/pangaea.853593
title: High resolution bathymetric compilation for Potter Cove, WAP, Antarctica, with links to data in ArcGIS format

description: The bathymetry raster with a resolution of 5 m x 5 m was processed from unpublished single beam data from the Argentine Antarctica Institute (IAA, 2010) and multibeam data from the United Kingdom Hydrographic Office (UKHO, 2012) with a cell size of 5 m x 5 m. A coastline digitized from a satellite image (DigitalGlobe, 2014) supplemented the interpolation process. The 'Topo to Raster' tool in ArcMap 10.3 was used to merge the three data sets, while the coastline represented the 0-m-contour to the interpolation process ('contour type option').
description: Subproject: JE 680/1-1
DOI: 10.26131/irsa9
title: MSX6C Infrared Point Source Catalog

description: Version 2.3 of the Midcourse Space Experiment (MSX) Point Source Catalog (PSC), which supercedes the version (1.2) that was released in 1999, contains over 100,000 more sources than the previous version. The photometry is based on co-added image plates, as opposed to single-scan data, which results in improved sensitivity and hence reliability in the fluxes. Comparison with Tycho-2 positions indicates that the astrometric accuracy of the new catalog is more than 1'' better than that in Version 1.2. In addition to the Galactic plane, Areas Missed by the Infrared Astronomical Satellite (IRAS), and the Large Magellanic Cloud, which were included in the previous catalog, Version 2.3 includes data from the Small Magellanic Cloud, eight nearby galaxies, and several molecular clouds and star forming regions. This dataset or service is made available by the Infrared Science Archive (IRSA) at IPAC, which is operated by the California Institute of Technology under contract with the National Aeronautics and Space Administration.
DOI: 10.5066/p9mpa8k0
title: Topobathymetric Model of the Coastal Carolinas, 1851 to 2020

description: To support Hurricane Florence impact modeling of storm-induced flooding and sediment transport, the U.S. Geological Survey (USGS) Coastal National Elevation Database (CoNED) Applications Project has created an integrated 1-meter topobathymetric digital elevation model (TBDEM) for coastal North Carolina, and South Carolina. High-resolution coastal topobathymetric data are required to characterize flooding, storms, and sea-level rise inundation hazard zones and other earth science applications, such as the development of sediment transport and storm surge models. This TBDEM consists of the best available multi-source topographic and bathymetric elevation data for the Coastal Carolinas including neighboring bays, estuaries, waterways, inlets, and islands. The Coastal Carolinas TBDEM integrates 28 different data sources including topographic and bathymetric data, such as lidar point clouds and multi-beam acoustic surveys obtained from USGS, the National Oceanic and Atmospheric Administration, the U.S. Army Corps of Engineers, South Carolina Lidar Consortium, and the South Carolina Department of Natural Resources. The topographic and bathymetric surveys were sorted and prioritized based on survey date, accuracy, spatial distribution, and point density to develop a model based on the best available elevation and bathymetric data. Because bathymetric data are typically referenced to tidal datums, such as Mean High Water or Mean Low Water, all tidally referenced heights were transformed into orthometric heights based on the GEOID12B geoid, which is normally used for mapping elevation on land using the North American Vertical Datum of 1988. The spatial horizontal resolution is 1-meter with the general location ranging from the Virginia/North Carolina border to the South Carolina/Georgia border in the south and extending offshore past Cape Hatteras. The overall temporal range of the input topography and bathymetry is 1851 to 2020 with a maximum depth extending to 66 meters. The topography surveys are from 1999-2020. The bathymetry surveys were acquired between 1851 and 2020.This data release was funded by the Additional Supplemental Appropriations for Disaster Relief Act of 2019 (H.R. 2157) for North Carolina and South Carolina.
DOI: 10.5066/p9p6zdw3
title: Remotely-sensed observations of restoration sites of the riparian corridor of the Colorado River Delta in Mexico, 2013-2022

description: These data were compiled for evaluating plant water use, or river-reach level evapotranspiration (ET) data, in the riparian corridor of the Colorado River delta as specified under Minute 319 of the 1944 Water Treaty. Additionally, these data were compiled for evaluating restoration-level data in Reach 2 and Reach 4, as specified under Minute 323 of the 1944 Water Treaty. Objectives of our study were to measure the peak growing season evapotranspiration (ET) for the average of months in summer-fall (May to October) for the seven reaches, for the full riparian corridor, and for four restoration sites, from 2013 through 2022. The seven reach areas from the Northerly International Boundary (NIB) to the end of the delta at the Gulf of California were defined for research activities. These data represent measurements of the enhanced vegetation index 2 (EVI2) and ET using EVI2, along with potential ET from meteorological station data in Yuma, Arizona. These ET and EVI2 data depict a Landsat time series from three sensors over the 8-year period. These data were collected using Landsat satellite data (30 m resolution) over the delta of the Colorado River starting near Yuma, AZ and continuing another 150km to the Gulf of California along the river corridor. These data were collected by Pamela Nagler, Ph.D. of the U.S. Geological Survey-Southwest Biological Science Center, and Ibrahima Sall, Ph.D. of the University of Arizona, Department of Agricultural and Resource Economics, and Armando Barreto-Mu�oz, Ph.D. and Kamal Didan, Ph.D. of the University of Arizona, Vegetation Index and Phenology Lab. These data can be used to evaluate riparian vegetation community water use in the Lower Colorado River delta region where there is active restoration efforts. Additionally, the time-series data can be used by land and water managers to monitor spatial and temporal riparian zone trends and changes, and document riparian ecosystem health and its water use in the riparian corridor of the Lower Colorado River delta near Yuma, AZ and continuing another 150km to the Gulf of California.
DOI: 10.5281/zenodo.10258592
title: GRL2023
DOI: 10.5281/zenodo.11224306
title: Data and code for Article "High-Performance Large-Scale-Integration Organic Phototransistors based on Photovoltaic Nanocells"

description: The data for figures in the article “High-Performance Large-Scale-Integration Organic Phototransistors based on Photovoltaic Nanocells”. The article DOI: 10.1038/s41565-024-01707-0
DOI: 10.5281/zenodo.11564122
title: Trento 1851 - Building 132

description: Coordinates: N/A Length: 4.69 mWidth: 12.98 mHeight: 5.25 mPoints: 8 Vertices: 36 Primitives: 12
DOI: 10.5281/zenodo.12627827
title: Two-dimensional Numerical Simulations of Mixing under Ice Keels Data

description: This deposition contains time series of relevant outputs from the ice keel simulations. These include:



The buoyancy frequency squared (Nstar_sq)

The spatially-average irreversible mixing rate (phi_d)

The spatially-averaged dimensionless diapycnal diffusivity (K)

The mixing depth (95% of mixing occurs above this depth) in meters (z_mix)

The relative mixing depth (z_mix_rel). This differs from the previous quantity as it is relative to the keel depth. That is, if the mixing depth was the keel height then the relative mixing depth would be 0.


The files are formatted to be imported as a dictionary into a Python file via the Json package. The keys are the simulation names. The key values are a tuple with the first value being the time series and the second being an array of times at which the respective values were recorded. All values are separated into upstream and downstream files.
DOI: 10.5281/zenodo.8373651
title: High frequency moonquake catalog

description: Catalog csv file for the Apollo 14, 15, and 16 stations
== File names ==

S14_New_MQ_SP.csv
S15_New_MQ_SP.csv
S16_New_MQ_SP.csv
== Format ==

1st column: Event ID
2nd column: Year
3rd column: Day of Year (DOY)
4th column: Station (14, 15, or 16)
5th column: Start time of a window used in coherence analysis
6th column: End time of a window used in coherence analysis
7th column: Event Type (see the main text)
== Note ==
The detailed information on new shallow moonquakes is summarized in the main text (Table A1 in Appendix A). You may refer to it for a particular analysis of shallow moonquakes.
DOI: 10.5439/1285691
title: mwrret1liljclou

description: ARM Instrument: MWR Retrievals
DOI: 10.6084/m9.figshare.26424841
title: Increased positive tree species mixture effects on the abundance and richness of Collembola with stand development in natural boreal forests

description: We investigated the effects of tree species mixtures on Collembola abundance, diversity, and community structure by sampling both pure and mixed jack pine (Pinus banksiana Lamb.) and trembling aspen (Populus tremuloides Michx.) of 15-year-old and 41-year-old stands in natural boreal forest.
DOI: 10.6084/m9.figshare.26424841.v1
title: Increased positive tree species mixture effects on the abundance and richness of Collembola with stand development in natural boreal forests

description: We investigated the effects of tree species mixtures on Collembola abundance, diversity, and community structure by sampling both pure and mixed jack pine (Pinus banksiana Lamb.) and trembling aspen (Populus tremuloides Michx.) of 15-year-old and 41-year-old stands in natural boreal forest.
DOI: 10.1285/i20356609v11i2p511
title: The Political Economy of Data Localization
DOI: 10.15468/dl.vypk9v
title: Occurrence Download

description: A dataset containing 310323 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Humulus L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 310323 records from 1315 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050807-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w6dsof
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 2010-2019",
 "Geometry POLYGON((23.58765 57.62188,27.65259 57.62188,27.65259 59.70101,23.58765 59.70101,23.58765 57.62188))",
 "HasCoordinate is true",
 "TaxonKey is Erythricium aurantiacum (Lasch) D.Hawksw. & A.Henrici",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 18 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001160-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xnpaas
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "TaxonKey is Neolentinus lepideus (Fr.) Redhead & Ginns",
 "TaxonKey is Neolentinus lepideus f. rufescens (A.N.Petrov) Zmitr. & Kovalenko",
 "TaxonKey is Neolentinus lepideus f. ceratoides (Holmsk.) Bondartseva, Zmitr. & Zarudnaya",
 "TaxonKey is Neolentinus ponderosus (O.K.Mill.) Redhead & Ginns"
 ]
 },
 "Year 1990-2021"
 ]
}

 The dataset includes 29 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0221251-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fnzmig
title: Occurrence Download

description: A dataset containing 491 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Phoxinus septimaniae Kottelat, 2007",
 "TaxonKey is Cottus rondeleti Freyhof, Kottelat & Nolte, 2005"
 ]
}

 The dataset includes 491 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007034-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9huhb7
title: Occurrence Download

description: A dataset containing 108129 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is United States of America",
 "Country is Canada",
 "Country is Mexico"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Danaus plexippus (Linnaeus, 1758)",
 "Year 2010-2021"
 ]
}

 The dataset includes 108129 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033746-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hxz5rw
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyrtochilum gracielae Dalström"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154657-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wxphhr
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Deconychura pallida J.T.Zimmer, 1929"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077754-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tsfkgl
title: Occurrence Download

description: A dataset containing 12769 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 {
 "or" : [
 "TaxonKey is Achirus mazatlanus (Steindachner, 1869)",
 "TaxonKey is Acipenser medirostris Ayres, 1854",
 "TaxonKey is Acipenser transmontanus Richardson, 1836",
 "TaxonKey is Agonostomus monticola (Bancroft, 1834)",
 "TaxonKey is Agosia chrysogaster Girard, 1856",
 "TaxonKey is Algansea Girard, 1856",
 "TaxonKey is Allodontichthys Hubbs & Turner, 1939",
 "TaxonKey is Alloophorus robustus (Bean, 1892)",
 "TaxonKey is Allotoca Hubbs & Turner, 1939",
 "TaxonKey is Alosa sapidissima (Wilson, 1811)",
 "TaxonKey is Amatitlania nigrofasciata (Günther, 1867)",
 "TaxonKey is Ambloplites rupestris (Rafinesque, 1817)",
 "TaxonKey is Ameca splendens Gartner, 1981",
 "TaxonKey is Ameca splendens Miller & Fitzsimons, 1971",
 "TaxonKey is Ameiurus melas (Rafinesque, 1820)",
 "TaxonKey is Ameiurus natalis (Lesueur, 1819)",
 "TaxonKey is Anableps dowei Gill, 1861",
 "TaxonKey is Anchoa curta (Jordan & Gilbert, 1882)",
 "TaxonKey is Anchoa parva (Meek & Hildebrand, 1923)",
 "TaxonKey is Anchoa walkeri Baldwin & Chang, 1970",
 "TaxonKey is Anguilla rostrata (Lesueur, 1817)",
 "TaxonKey is Aplodinotus grunniens Rafinesque, 1819",
 "TaxonKey is Ariopsis assimilis (Günther, 1864)",
 "TaxonKey is Ariopsis seemanni (Günther, 1864)",
 "TaxonKey is Astatheros macracanthus (Günther, 1864)",
 "TaxonKey is Astyanax Baird & Girard, 1854",
 "TaxonKey is Ataeniobius toweri (Meek, 1904)",
 "TaxonKey is Atherinella Steindachner, 1875",
 "TaxonKey is Atractosteus spatula (Lacepède, 1803)",
 "TaxonKey is Atractosteus tropicus Gill, 1863",
 "TaxonKey is Awaous banana (Valenciennes, 1837)",
 "TaxonKey is Aztecula sallaei (Günther, 1868)"
 ]
 },
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12769 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009017-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/4nz-j62-lyx
title: Lycopodium clavatum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/b70-247-hww
title: Alliaria petiolata (M. Bieb.) Cavara & Grande

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mn4-5eq-src
title: Geranium columbinum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/6ky-zv9-dxn
title: Aphanes arvensis L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/acy-lxt-kbz
title: Sorbaria sorbifolia (L.) A. Braun

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0nz-9st-jn0
title: Melica transsilvanica Schur

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9la-pfk-vj1
title: Aster lanceolatus Willd.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/z0x-pqz-8gv
title: Orchis purpurea Huds.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ebh-zsa-n3y
title: Dactylorhiza maculata (L.) Soó

description: Digital Specimen for the physical specimen hosted at University of Graz.