cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7q5nep
title: Occurrence Download

description: A dataset containing 976043 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is February",
 "OccurrenceStatus is Present",
 "TaxonKey is Picidae",
 "Year 2017-2019"
 ]
}

 The dataset includes 976043 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021499-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.881156
title: Age determination and glacier model for a small ice cap on Baffin Island

description: Records of Neoglacial glacier activity in the Arctic constructed from moraines are often incomplete due to a preservation bias toward the most extensive advance, usually the Little Ice Age. Recent warming in the Arctic has caused extensive retreat of glaciers over the past several decades, exposing preserved landscapes complete with in situ tundra plants previously entombed by ice. The radiocarbon ages of these plants define the timing of snowline depression and glacier advance across the site, in response to local summer cooling. Although most dead plants recently exposed by ice retreat are rapidly removed from the landscape by erosion, where erosive processes are unusually weak, dead plants may remain preserved on the landscape for decades. In such settings, a transect of plant radiocarbon ages can be used to construct a near-continuous chronology of past ice margin advance. Here we present radiocarbon dates from the first such transect on Baffin Island, which directly dates the advance of a small ice cap over the past two millennia. The nature of ice expansion between 20 BCE and ~1000 CE is still uncertain, but episodic advances at ~1000, ~1200, and ~1500 CE led to the maximum Neoglacial dimensions ~1900 CE. We employ a two-dimensional numerical glacier model to reconstruct the pattern of ice expansion inferred from the radiocarbon ages and to explore the sensitivity of the ice cap to temperature change. Model experiments show that at least ~0.44 °C of cooling over the past 2 ka is required for the ice cap to reach its 1900 margin, and that the period from ~1000 to 1900 CE must have been at least 0.25 °C cooler than the previous millennium; results that agree with regional climate model simulations. However, ~3 °C of warming since 1900 CE is required to explain retreat to its present position, and, at the same rate of warming, the ice cap will disappear before 2100 CE.
description: Supplement to: Pendleton, Simon; Miller, Gifford H; Anderson, Robert A; Crump, Sarah E; Zhong, Yafang; Jahn, Alexandra; Geirsdóttir, Áslaug (2017): Episodic Neoglacial expansion and rapid 20th Century retreat of a small ice cap on Baffin Island, Arctic Canada and modeled temperature change. Climate of the Past Discussions, 1-15
DOI: 10.18739/a2tt4fv1g
title: Near-surface ocean temperature & salinity measurements (using YSI and Castaway) during the summer component of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign in the Central Arctic Ocean, July – September 2020

description: This dataset contains upper ocean temperature and salinity profiles made during July – September, 2020 as part of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition in the Central Arctic. The primary aim of these profiles was to capture the stratification of the upper ocean due to meltwater input throughout the summer melt season and the transition to fall freeze-up. The dataset includes data from two instruments: (i) YSI probe, and (ii) Sontek Castaway. The YSI probe was used to take point measurements of temperature and salinity, allowing for more fine-scale profiles in the upper couple of meters. The Sontek Castaway is a small conductivity, temperature, and depth (CTD) device that was used to make profiles over the upper 10s of meters, here typically in complement to the YSI observations, and are processed to 15 centimeters (cm) vertical resolution. Profiles were made in two primary locations: (i) near-surface of leads surrounding the sea ice floe, using both YSI and Castaway, and (ii) upper ocean directly beneath the sea ice, typically using YSI only. A small number of additional observations were made in coincident melt ponds and the upper ocean directly underneath. Details of collection and processing methods, including quality control for both instruments, can be found in data archive descriptions.
DOI: 10.5281/zenodo.14207758
title: Therapeutic Potential of Nigella sativa Extract against Inflammatory Markers Interleukin-1ß (IL-1ß) and Tumor Necrosis Factor-α (TNF-α) in Rat Models with High Fat Diet
DOI: 10.1594/pangaea.955779
title: Hyperspectral raw data (cau_stickle_1) from sea ice melt ponds during legs 4 and 5 of the MOSAiC expedition with R/V POLARSTERN

description: This raw dataset contains in-situ hyperspectral from Legs 4 & 5 of the MOSAiC Expedition, collected by Stickle. The dataset allows to calculate remote sensing reflectance (R_rs) as well as spectral albedo. For measurements over melt ponds, co-located water depth information was collected with a measuring ruler. The Stickle hyperspectral measurement platform is a hand-held gimbal-stabilized platform for three OceanOptics STS-VIS spectro-radiometers (downwelling upwelling irradiance, upwelling radiance). Position is logged with an included GPS receiver. Data of each deployment is collected into a zip/tar file, holding a folder of plain text raw data (spectra, depth, GPS position) and image-based raw data (co-deployed action cams (AC folders)). Digital copies of field notes (if any) are also included.
DOI: 10.5067/dl081sqy7c89
title: OMPS/NPP L1B NM Radiance EV Calibrated Geolocated Swath Orbital V2
DOI: 10.13020/g1gx-y834
title: TrashCan 1.0 An Instance-Segmentation Labeled Dataset of Trash Observations

description: The TrashCan dataset is comprised of annotated images (7,212 images currently) which contain observations of trash, ROVs, and a wide variety of undersea flora and fauna. The annotations in this dataset take the format of instance segmentation annotations: bitmaps containing a mask marking which pixels in the image contain each object.  The imagery in TrashCan is sourced from the J-EDI  (JAMSTEC  E-Library of  Deep-sea  Images) dataset, curated by the Japan Agency of Marine Earth Science and Technology (JAMSTEC). This dataset contains videos from ROVs operated by JAMSTEC since 1982, largely in the sea of Japan. The dataset has two versions, TrashCan-Material and TrashCan-Instance, corresponding to different object class configurations. The eventual goal is to develop efficient and accurate trash detection methods suitable for onboard robot deployment. While datasets have previously been created containing bounding box level annotations of trash in marine environments, TrashCan is, to the best of our knowledge, the first instance-segmentation annotated dataset of underwater trash. It is our hope that the release of this dataset will facilitate further research on this challenging problem, bringing the marine robotics community closer to a solution for the urgent problem of autonomous trash detection and removal.
description: The dataset is uploaded in three .zip files: dataset.zip contains the images and labels of the TrashCAN dataset, while instance_checkpoints.zip and material_checkpoints.zip contain network configurations and checkpoints for Faster-RCNN and Mask-RCNN evaluations of the TrashCan-Instance and TrashCan-Material dataset versions.
DOI: 10.14291/tccon.ggg2014.anmeyondo01.r0/1149284
title: TCCON data from Anmeyondo (KR), Release GGG2014.R0

description: The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This data set contains observations from the TCCON station at Anmeyondo, South Korea.
description: <br>Cite this record as:<br>Goo, T.-Y., Oh, Y.-S., & Velazco, V. A. (2014). <i>TCCON data from Anmeyondo (KR), Release GGG2014.R0</i> (Version GGG2014.R0) [Data set]. CaltechDATA. https://doi.org/10.14291/TCCON.GGG2014.ANMEYONDO01.R0/1149284<br> or choose a different citation style.<br>Download Citation<br>
description: <br>Unique Views: 395<br>Unique Downloads: 30<br> between September 08, 2017 and July 12, 2021<br>More info on how stats are collected<br>
DOI: 10.14291/tccon.ggg2014.rikubetsu01.r0/1149282
title: TCCON data from Rikubetsu (JP), Release GGG2014.R0

description: <br> These data are now obsolete and should be replaced by the most recent data: https://doi.org/10.14291/tccon.ggg2014.rikubetsu01.R1/1242265 <br><br>The Total Carbon Column Observing Network (TCCON) is a network of ground-based Fourier Transform Spectrometers that record direct solar absorption spectra of the atmosphere in the near-infrared. From these spectra, accurate and precise column-averaged abundances of atmospheric constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This data set contains observations from the TCCON station at Rikubetsu, Japan.
description: <br>Cite this record as:<br>Morino, I., Yokozeki, N., Matsuzaki, T., Ikegami, H., & Shishime, A. (2017). <i>TCCON data from Rikubetsu (JP), Release GGG2014.R0</i> (Version GGG2014.R0) [Data set]. CaltechDATA. https://doi.org/10.14291/tccon.ggg2014.rikubetsu01.r0/1149282<br> or choose a  different citation style.<br>Download Citation<br>
DOI: 10.15784/601041
title: WAIS Divide d18Oatm and Siple Dome/WAIS Divide composite and individual delta epsilon LAND
DOI: 10.1594/pangaea.859456
title: Swath sonar multibeam EM122 bathymetry during SONNE cruise SO239 with links to raw data files

description: Data acquisition was performed using a multibeam sonar system Simrad EM-122 from Kongsberg. Raw data are delivered within Simrad current multibeam vendor format.SIMRAD raw data can be processed i.e. with the software packages CARIS HIPS/SIPS, Caraibes, QPS Qimera or with the open source software package MB-System (http://www.ldeo.columbia.edu/res/pi/MB-System/).
DOI: 10.1594/pangaea.875070
title: Source code for the Compact Morphology-based Nodule Delineation (CoMoNoD) algorithm

description: This is the demonstration code for the "Compact Morphology-based Nodule Delineation" (CoMoNoD) algorithm.CoMoNoD is a rapid method to delineate poly-metallic (or manganese) nodules from vertical benthic images. The paper describing the algorithm is currently under review. This algorithm makes extensive use of the OpenCV library for image processing and uses NVIDIA CUDA for computational speedup.
description: also available here: https://git.geomar.de/open-source/comonodVersion of this dataset: https://git.geomar.de/open-source/comonod/tree/2f30e182629074a05520d7bf5069b0cd39dbf817
description: Supplement to: Schoening, Timm; Jones, Daniel O B; Greinert, Jens (2017): Compact-Morphology-based poly-metallic Nodule Delineation. Scientific Reports, 7(1)
DOI: 10.1594/pangaea.875889
title: Hintereisferner (Ötztal, Tyrol, Austria) Digital Elevation Models (10 x 10 m) from Airborne Laser Scanning Data Set 2001-2013, links to GeoTIFFs

description: The data set consists of 21 digital elevation models (DEM) with a cell size of 10x10 m. The DEMs are generated on base of Airborne Laser Scanning (ALS) data which were acquired in the period of time from 2001 to 2013. The ALS measurements are mainly used to study the volume changes of Hintereisferner complementary to direct glaciological mass balance measurements. Hence, at least one scan was performed close to the end of the glacier mass balance year (end of September) each year. In the glacier mass balance years 2001/2002, 2002/2003, 2007/2008, 2008/2009 and 2010/2011 project-based intermediate campaigns were carried out too. An overview of the data with information about flight dates, used sensors, mean flight heights above ground [m], pulse repetition rates [Hz], across track overlaps [%], mean point densities [points per square meter], vertical accuracies [m] and projections is given in the attached table below.At first 1x1 m DEMs are generated using a simple approach, that calculates the z-value (altitude) from the mean z-value by excluding 5 % of the smallest and largest observations of the ALS points which fall inside the respective grid cells. For the provision of the GeoTIFF (UTM32N) raster files the high resolution DEMs are resampled to DEMs with a cell size of 10x10 m with the bilinear interpolation method, which is implemented in SAGA (http://www.saga-gis.org). If higher resolution DEMs are required or other question arise we would like to ask you to contact the principal investigator.
DOI: 10.1594/pangaea.956142
title: Physical oceanography measurements from a hand-held CTD during Leg 4 and 5 of POLARSTERN cruise PS122 – MOSAiC

description: This dataset contains hydrographic data collected with a small hand-held conductivity, temperature, depth sensor (CTD, a Sea&Sun CTD48M) – mostly operated from the ice – during Leg 4 and Leg 5 of the Multidisciplinary drifting observatory for the study of Arctic climate (MOSAiC). In total, 24 profiles were obtained, 12 from each leg. The data collected was processed manually. Conductivity readings below 0.5 mS/cm and temperature readings below the surface freezing temperature were removed. A pressure offset was then subtracted to start the profile at 0 dbar. The data was then binned in steps of 0.1 dbar from the surface to 5 dbar, in steps of 0.25 dbar to 20 dbar, and in steps of 0.5 dbar below. Large density inversions were manually removed and linearly interpolated over. Absolute Salinity (SA) and Conservative Temperature (CT) were derived using the TEOS-10 GSW toolbox (McDougall & Barker, 2011).This work was carried out as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020. We thank all persons involved in the expedition of the Research Vessel Polarstern during MOSAiC in 2019-2020 (AWI_PS122_00) as listed in Nixdorf et al. (2021).
DOI: 10.17632/ys8r8m7bx2.2
title: Acoustic emission dataset of single-stiffener composite panels subjected to impact and run-to-failure fatigue loading

description: This data article presents the AE measured from composite panels with a single stiffener during compression-compression fatigue loading until end-of-life. Different kinds of damage have occurred, especially induced by defects such as a pre-embedded disbond and impact at different locations. Low-level AE features were extracted from AE waveforms, including amplitude, rise time, duration, energy, counts, and RMS. Then, they were windowed according to different lengths (LW) and intervals (Int) in terms of the loading cycle. Moreover, diverse statistical features in time and frequency domains from each time window were extracted and are available. Both AE variables (low-level features) and statistical features can be utilized for research in prognostic and health management as well as composite structures. Ten different combinations of lengths (LW) and intervals (Int) were considered, including 100, 500, 1000, and 5000 cycles. Besides the AE low-level and statistical feature datasets, figures of the total number of events within each TW for different combinations of LW and Int are provided.
DOI: 10.18434/mds2-3616
title: ETSpy: A HyperSpy Extension Package for Electron Tomography Data Processing and Reconstruction
DOI: 10.18739/a20z70z01
title: Measurements of ice mass balance and temperature from autonomous Seasonal Ice Mass Balance buoys in the Arctic Ocean, 2019-2020.

description: The dataset contains measurements made from four autonomous Seasonal Ice Mass Balance (SIMB) buoys. The buoys were deployed in the fall of 2019 as part of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Distributed Network at sites L1, L2, L3, and at the Central Observatory. They were collocated with platforms making observations of the atmosphere and ocean. Each buoy measured position, barometric pressure, air temperature, and a vertical profile of temperature from the air, through the snow, through the ice, and into the upper ocean. An above ice downward looking sounder tracked the position of the surface and an underwater upward looking sounder tracked the position of the ice bottom. Sensors were placed every 0.02 meters (m) on the vertical temperature string. Measurements were made every four hours and results were transmitted via Iridium. There is one csv file for each SIMB.
DOI: 10.25392/leicester.data.26941981.v2
title: PPMLR Simulations

description: These are the six PPMLR MHD simulation files used in the CMEM project. They are here courtesy of T. Sun from the National Space Science Centre in Beijing.PPMLR (Parabolic Piecewise Method with Lagrangian Remap) is a magnetohydrodynamic (MHD) code developed in China used for creating global simulations of the Earth's magnetospheric environment. In this context, the results of a PPMLR simulation have been compared with an exospheric neutral density model in order to calculate the soft X-ray emissivity expected around the Earth's magnetosheath. It is these PPMLR-emissivity simulations uploaded here.These simulations have been used for the upcoming publication titled: "Modeling the Magnetospheric 3D X-ray emission from SWCX using a Cusp-Magnetosheath Emissivity Model," which is being submitted to the Journal of Geophysical Research: Space Physics. The simulations were used to develop and test a new emissivity model called CMEM (Cusp Magnetosheath Emissivity Model) that will be used for magnetopause detection for the upcoming Solar Wind Magnetosphere Ionosphere Link Explorer (SMILE) mission.<br>Update 1st Oct 2024: The FITS versions of these files have also now been uploaded. <br>
DOI: 10.3334/cdiac/atg.db1001
title: The ALE/GAGE/AGAGE Network (DB1001)

description: In the ALE/GAGE/AGAGE global network program, continuous high frequency gas chromatographic measurements of four biogenic/anthropogenic gases (methane, CH4; nitrous oxide, N2O; hydrogen, H; and carbon monoxide, CO) and several anthropogenic gases that contribute to stratospheric ozone destruction and/or to the greenhouse effect have been carried out at five globally distributed sites for several years. The program, which began in 1978, is divided into three parts associated with three changes in instrumentation: the Atmospheric Lifetime Experiment (ALE), which used Hewlett Packard HP5840 gas chromatographs; the Global Atmospheric Gases Experiment (GAGE), which used HP5880 gas chromatographs; and the present Advanced GAGE (AGAGE). AGAGE uses two types of instruments: a gas chromatograph with multiple detectors (GC-MD), and a gas chromatograph with mass spectrometric analysis (GC-MS). Beginning in January 2004, an improved cryogenic preconcentration system (Medusa) replaced the absorption-desorption module in the GC-MS systems at Mace Head and Cape Grim; this provided improved capability to measure a broader range of volatile perfluorocarbons with high global warming potentials. More information may be found at the AGAGE home page: http://agage.eas.gatech.edu/instruments-gcms-medusa.htm.
DOI: 10.5066/f7959fm0
title: Fire impacts on permafrost in Alaska: Geophysical and other field data collected in 2014

description: Fire can be a significant driver of permafrost change in boreal landscapes, altering the availability of soil carbon and nutrients that have important implications for future climate and ecological succession. However, not all landscapes are equally susceptible to fire-induced change. As fire frequency is expected to increase in the high latitudes, methods to understand the vulnerability and resilience of different landscapes to permafrost degradation are needed. Geophysical and other field observations reveal details of both near-surface (&amp;lt;1 m) and deeper (&amp;gt;1 m) impacts of fire on permafrost along 11 transects that span burned-unburned boundaries in different landscape settings within interior Alaska. Data collected along the 11 transect locations include: electrical resistivity tomography (ERT), downhole nuclear magnetic resonance (NMR), active layer thickness (ALT), organic layer thickness (OLT), and plant species cover. These geospatial datasets are the foundation for the journal article: Minsley, B. J., N. J. Pastick, B. K. Wylie, D. R. N. Brown, and M. Andy Kass (2016), Evidence for nonuniform permafrost degradation after fire in boreal landscapes, J. Geophys. Res. Earth Surf., 121, 320335, doi:10.1002/2015JF003781.
DOI: 10.5257/census/aggregate-2011-1
title: 2011 Census aggegate data (Data downloaded: 1 June 2016)
DOI: 10.5281/zenodo.10597270
title: Morphological dataset of mammaliamorphs and phylogenetic analysis codes

description: The data matrix of 128 taxa and 583 characters for mammaliamorphs, the PAUP commands for parsimony-based analyses, the MrBayes commands for Bayesian analyses, the results of phylogenetic analyses, such as the apomorphic list from PAUP and ancestral state reconstruction from MrBayes.