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

description: A dataset containing 4622 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 {
 "or" : [
 "Geometry POLYGON((-165.73917 -22.84867,-32.5827 -22.84867,-32.5827 59.78217,-165.73917 59.78217,-165.73917 -22.84867))",
 "Geometry POLYGON((57.02455 -6.65456,156.0296 -6.65456,156.0296 59.96112,57.02455 59.96112,57.02455 -6.65456))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ampelopsis Michx.",
 "Year 1900-1990"
 ]
}

 The dataset includes 4622 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0384766-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.925404
title: Characteristics of aufeis from the Cadastre of naleds of the North-East of the USSR (1958) for the Kolyma River basin

description: Historical data collection is created based on the Cadastre of aufeis (naled) of the North-East of the USSR (1958). Each aufeis was digitized as point feature by the inventory map (scale 1:2 000 000), or by topographic maps. Attributive data was obtained from the Cadastre of aufeis. According to the historical data, there were 1755 aufeis with a total area 1945.2 km² within the studied basin.
DOI: 10.1594/pangaea.925657
title: Geomorphic zonation and dominant benthic cover type maps for on the shallow offshore reefs of the Cairns to Cooktown Management area of the Great Barrier Reef, Australia (GBRF, UQ)

description: The aim of this study was to create detailed geomorphic zonation and dominant benthic cover type maps of the shallow offshore reefs in the Cairns to Cooktown management area of the Great Barrier Reef. Maps such as these do not exist for the Great Barrier Reef, but would provide an invaluable resource for management agencies.The maps display the geomorphic zonation and dominant benthic cover type. Membership rules for object classification were based on OBIA rules, geomorphic zonation and expert knowledge/field data. It is important to note that the imagery used for the mapping process had a resolution of 15 m x 15 m, which would likely not capture the spatial variability of the benthic categories mapped.This dataset consists of shapefiles and auxiliary files for each of the geomorphic zonation and dominant benthic cover types on the shallow offshore reefs of the Cairns to Cooktown Management area of the Great Barrier Reef, Australia.
DOI: 10.1594/pangaea.926333
title: Spatiotemporally continuous evapotranspiration data set across the North China Plain during 2008‒2019 using TSEB and data fusion

description: The North China Plain (NCP), with an area of ~170,000 square kilometers, is among the most important agricultural producing bases in China. In addition to canal irrigation with surface water from the Yellow River, the NCP also needs much groundwater for intensive irrigation. Spatiotemporally continuous and daily evapotranspiration (ET) estimates of high spatial resolution could be valuable for improving our understanding of agricultural water consumption across the NCP, and also for improving water use efficiency for better agricultural water resource management practices over similar regions globally. This ET data set at 1 km spatial resolution and daily timescale across the NCP from Jan 2008 to Dec 2019 was generated using two source energy balance model (TSEB) and data fusion. The accuracy is generally comparable and even higher than published results, with our ET data set featuring spatiotemporal continuity and high spatial resolution for a decade. Furthermore, this data set and associated approaches are valuable for performing daily, monthly, seasonal, interannual, and trend analyses of ET in the NCP and similar regions globally.
description: Before download and apply the dataset, please read this text carefully.-----------------------------land surface variable------------------------------------------The dataset covers the North China Plain (N35.02° ‒ 40.41°, E113.18° ‒ 119.82°).The total number of grid cell is 444740.The dataset includes daily evapotranspiration (ET) from January 2008 to December 2019, which was estimated using two source energy balance model (TSEB) and data fusion approach. The spatial resolution is approximately 1km).-----------------------------storage space------------------------------------------The dataset includes 1 NetCDF file.Total storage space with NetCDF format is about 7.61 GB.Thus, this NetCDF file was compressed with zip format to reduce the storage space.Total storage space with zip format is about 2.08 GB.------------------------------References--------------------------------------------------The data provider would contact the staff and recommend published article as the reference in the future.
DOI: 10.1594/pangaea.925405
title: Characteristics of aufeis in the Kolyma River basin derived from Landsat images (2013-2017)

description: Present-day aufeis dataset was created by Landsat-8 OLI images for the period 2013-2019. Each aufeis was delineated by satellite images as polygon. Cloud-free Landsat images are obtained immediately after snowmelt season (e.g. between May, 17 and June, 16), to detect the highest possible number of aufeis. Critical values of Normalized Difference Snow Index (NDSI) were used for semi-automated aufeis detection. However, a detailed expert-based verification was performed after automated procedure, to distinguish snow-covered areas from aufeis and cross-reference historical and satellite-based data collections. According to Landsat data, the number of aufeis reaches 2216, with their total area about 879.7 km2. The difference between the Cadastre (1958) and the satellite-derived data may indicate significant changes of aufeis formation environments.
DOI: 10.1594/pangaea.925406
title: Aufeis (naleds) of the North-East of Russia: GIS catalogue for the Kolyma River basin

description: The GIS database contains the data of aufeis (naleds) in the Kolyma River basin (Russia) from historical and nowadays sources, and complete ArcGIS 10.1/10.2 and Qgis 3* projects to view and analyze the data. All data and projects have WGS 1984 coordinate system (without projection). ArcGIS and Qgis projects contain two layers, such as Aufeis_kadastr (historical aufeis data collection, point objects) and Aufeis_Landsat (satellite-derived aufeis data collection, polygon objects).Historical data collection is created based on the Cadastre of aufeis (naled) of the North-East of the USSR (1958). Each aufeis was digitized as point feature by the inventory map (scale 1:2 000 000), or by topographic maps. Attributive data was obtained from the Cadastre of aufeis. According to the historical data, there were 1755 aufeis with a total area 1945.2 km² within the studied basin.Present-day aufeis dataset was created by Landsat-8 OLI images for the period 2013-2019. Each aufeis was delineated by satellite images as polygon. Cloud-free Landsat images are obtained immediately after snowmelt season (e.g. between May, 17 and June, 16), to detect the highest possible number of aufeis. Critical values of Normalized Difference Snow Index (NDSI) were used for semi-automated aufeis detection. However, a detailed expert-based verification was performed after automated procedure, to distinguish snow-covered areas from aufeis and cross-reference historical and satellite-based data collections.According to Landsat data, the number of aufeis reaches 2216, with their total area about 879.7 km². The difference between the Cadastre (1958) and the satellite-derived data may indicate significant changes of aufeis formation environments.
DOI: 10.15468/dl.468uhq
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calanthe crispifolia Ormerod"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113675-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cqfimj
title: Occurrence Download

description: A dataset containing 947 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ichneumia albicauda G"
 ]
}

 The dataset includes 947 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028678-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.925416
title: Characteristics of aufeis from the Cadastre of naleds of the North-East of the USSR (1958) for the Chukotka region

description: Historical data collection is created based on the Cadastre of aufeis (naled) of the North-East of the USSR (1958). Each aufeis was digitized as point feature by the inventory map (scale 1:2 000 000), or by topographic maps. Attributive data was obtained from the Cadastre of aufeis. According to the historical data, there were 2024 aufeis with a total area 2976.9 km² within the studied area (see also: doi:10.1594/PANGAEA.925429).
DOI: 10.15468/dl.rzz8bg
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sulcaria spiralifera (Brodo & D.Hawksw.) Myllys, Velmala & Goward"
 ]
}

 The dataset includes 23 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299139-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.925429
title: Characteristics of aufeis from the Cadastre of naleds of the North-East of the USSR (1958) for the Penzhina River area

description: Historical data collection is created based on the Cadastre of aufeis (naled) of the North-East of the USSR (1958). Each aufeis was digitized as point feature by the inventory map (scale 1:2 000 000), or by topographic maps. Attributive data was obtained from the Cadastre of aufeis. According to the historical data, there were 2024 aufeis with a total area 2976.9 km² within the studied area (see also: doi:10.1594/PANGAEA.925416).
DOI: 10.1594/pangaea.926334
title: The global carbon sink potential of terrestrial vegetation can be increased substantially by optimal land management

description: It is well agreed that massive emissions of greenhouse gases (GHGs), particularly that from carbon dioxide (CO2), have been driving and will continue to drive global climate changes, one of which is global warming. Traditional measures by cutting carbon emissions are not enough; we need to find ways to sink more carbon from the atmosphere. Land management practices (LMPs) have massive effect on carbon sequestration from vegetation. Optimal land management practices (OLMPs) refer to LMPs that are capable of a higher, if not the highest, target carbon sequestration level given the current climatic and non-climatic conditions. Carbon sequestration potential, which is termed as carbon gap, is the difference in carbon sequestration with- and without- OLMPs.This dataset presents the carbon gap computed on the basis of implementing the OLMPs identified within a 20km local neighborhood under the same conditions in terms of landforms, vegetation biomes and soil profiles. We show that globally an extra of 13.73 PgC per year could be sequestered if OLMPs are implemented.This datasets include an image file Carbongap_2km.tif, the averaged global carbon gap flux for the years 2001-2018, and a number of statistical sheets related to the carbon gap.
DOI: 10.1594/pangaea.925430
title: Characteristics of aufeis for the Chukotka region derived from Landsat images (2013-2019)

description: Present-day aufeis dataset was created by Landsat-8 OLI images for the period 2013-2019. Each aufeis was delineated by satellite images as polygon. Cloud-free Landsat images are obtained immediately after snowmelt season, to detect the highest possible number of aufeis. Critical values of Normalized Difference Snow Index (NDSI) were used for semi-automated aufeis detection. However, a detailed expert-based verification was performed after automated procedure, to distinguish snow-covered areas from aufeis and cross-reference historical and satellite-based data collections. According to Landsat data, the number of aufeis reaches 2758, with their total area about 1147.1 km². The difference between the Cadastre (1958) and the satellite-derived data may indicate significant changes of aufeis formation environments.
DOI: 10.1594/pangaea.926360
title: Green Sahara Simulations with iCESM

description: Files contain monthly climatologies of surface temperature, 2m temperature, sea level pressure, precipitation, and d18O of precipitation from 50-year averages of the preindustrial control, mid-Holocene with desert Sahara, and mid-Holocene with vegetated Sahara experiments discussed in the manuscript.
DOI: 10.15468/dl.a4wxr4
title: Occurrence Download

description: A dataset containing 2024 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Country is one of (United States of America, Mexico, Canada)",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Notropis jemezanus (Cope, 1875)"
 ]
}

 The dataset includes 2024 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113683-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.925730
title: Long-term ice nucleating particle concentrations by offline vacuum diffusion chamber measurements from the Amazon, the Caribbean, Central Europe, and the Norwegian Arctic, data for figures 1-10

description: The data set reports on long-term measurements of ice nucleating particles (INPs) from four observational sites: 1. Amazon Tall Tower Observatory (ATTO, 2.144° S, 59.000° W, 130 m AMSL, Brazil), 2. Volcanological and Seismological Observatory of Martinique (OVSM, 14.735° N, 61.147° W, 487 m AMSL, Martinique, Caribbean), 3. Taunus Observatory (TO, 50.221° N, 8.446° E, 825 m AMSL, Germany) and 4. Zeppelin Observatory (ZO, 78.908° N, 11.881° E, 474 m AMSL, Ny-Alesund, Svalbard, Arctic). The presented data covers data from May 2015 to January 2017. Samples were usually collected every day or every two days at local noon for 50 minutes at 2 L min-1, resulting in 100 L of air volume. After transport samples were analyzed in our laboratory in Frankfurt using the vacuum diffusion chamber FRIDGE. Each sample was analyzed at multiple combinations of temperature ( 20 °C, -25 °C, and -30 °C) and relative humidity (95%, 97%, 99%, 101% w.r.t. water). INP concentrations per liter are reported for each condition (the paper focuses on the highest humidity). This data supplement is related to a scientific publication (doi:10.5194/acp-2020-667).
DOI: 10.15468/dl.4ghbw0
title: Occurrence Download

description: A dataset containing 1106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Panthera onca (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1106 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040240-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.925439
title: Characteristics of aufeis for the Penzhina River basin derived from Landsat images (2013-2019)

description: Present-day aufeis dataset was created by Landsat-8 OLI images for the period 2013-2019. Each aufeis was delineated by satellite images as polygon. Cloud-free Landsat images are obtained immediately after snowmelt season, to detect the highest possible number of aufeis. Critical values of Normalized Difference Snow Index (NDSI) were used for semi-automated aufeis detection. However, a detailed expert-based verification was performed after automated procedure, to distinguish snow-covered areas from aufeis and cross-reference historical and satellite-based data collections. According to Landsat data, the number of aufeis reaches 2758, with their total area about 1147.1 km². The difference between the Cadastre (1958) and the satellite-derived data may indicate significant changes of aufeis formation environments.
DOI: 10.15468/dl.tj93ur
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Glycyrrhiza inflata Batalin"
 ]
}

 The dataset includes 87 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0199419-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.925756
title: MeRMEED cruise and mooring data - Vertical microstructure, CTD, vessel mounted ADCP, moored ADCP

description: Cruise data collected across three separate cruises MeRMEED-1 (WS16336; 1-7 December 2016), MeRMEED-2 (WS17305; 31 October - 10 November 2017) and MeRMEED-3 (WS18066; 4-16 March 2018). All cruises were aboard the R/V F. G. Walton Smith. Cruise region: 76.5W-77.2W, 26.15N-26.8N. Cruises consisted of zonal tethered vertical microstructure profiler (VMP) and vessel mounted acoustic Doppler current profiler (ADCP) surveys, yielding sections of the turbulent dissipation rate (units: W/kg) and zonal and meridional velocity (units: m/s). The VMP used was the tethered Rockland Scientific International VMP-2000, and the ADCP was a vessel-mounted RDI 75 kHz Ocean Surveyor ADCP configured and run through the University of Hawai'i Data Acquisition System (UHDAS) software suite. The VMP was also mounted with a CTD (conductivity-temperature-depth) sensor package, including SBE-3 and SBE-4 sensors. The CTD data was processed according to the manufacturer specifications, using recommended values for the cell thermal mass coefficients (alpha=0.03 and beta=7.0). Files are named as follows: WSxxxxx_CTD.mat, WSxxxxx_vmp_all.mat and WSxxxxx_os75nb.nc for CTD, VMP and ADCP data respectively.Mooring-based data is from two 75 kHz ADCPs, one upward facing and the other downward facing, mounted at approximately 700 m on the RAPID/MOCHA (Rapid Climate Change / Meridional Overturning Circulation and Heat flux Array) mooring WB1 at 76.8W and 26.5N. This configuration gave full depth meridional and zonal velocity profiles (units: m/s) in a water depth of approximately 1300 m. The data spanned December 2015 to March 2017. The data are binned in 16 m depth bins and are bin averaged into 1 hour time bins. File name: WB1_adcp_UV_1hr.mat.
DOI: 10.15468/dl.ujyzum
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Megophrys cheni (Wang & Yang, 2014)"
 ]
}

 The dataset includes 21 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299142-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wdr45y
title: Occurrence Download

description: A dataset containing 327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Similiparma lurida (Cuvier, 1830)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 327 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113668-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.925763
title: Rockmagnetic experiments for LTR2 samples (Fig. 10a-e)
DOI: 10.1594/pangaea.926829
title: Master tracks in different resolutions of POLARSTERN cruise PS122/4, Longyearbyen - Arctic Ocean, 2020-06-04 - 2020-08-12

description: Raw data acquired by position sensors on board RV Polarstern during expedition PS122_4 was processed to receive a validated master track which can be used as reference of further expedition data. During PS122_4 two Trimble Marine SPS461 GPS receivers and the iXBlue HYDRINS hydrographic survey inertial navigation system were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report found at EPIC repository hdl:10013/epic.77923ed6-d30f-4216-b11c-3563af390ac3. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
description: This dataset contains the master track in 10 min resolution, for other resolutions please see "Further details" and Other version" references.
DOI: 10.1594/pangaea.926830
title: Master track of POLARSTERN cruise PS122/4 in 1 sec resolution (zipped, 36 MB)

description: Raw data acquired by position sensors on board RV Polarstern during expedition PS122_4 was processed to receive a validated master track which can be used as reference of further expedition data. During PS122_4 two Trimble Marine SPS461 GPS receivers and the iXBlue HYDRINS hydrographic survey inertial navigation system were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report found at EPIC repository hdl:10013/epic.77923ed6-d30f-4216-b11c-3563af390ac3. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
DOI: 10.1594/pangaea.925803
title: Multi-channel seismic reflection data, 2018, New Zealand

description: This dataset includes multi-channel seismic reflection data (post-stack time migrated seismic sections) that were collected in 2018, during Research Voyage TAN1808 aboard RV Tangaroa, east of New Zealand. These are the data we present in Figures 4,5,7 and 9 of Crutchley et al. (submitted for review to JGR Solid Earth, 2020). The voyage report describing data collection is located here:https://www.gns.cri.nz/Home/Our-Science/Energy-Futures/Gas-Hydrates/Recent-Expeditions/HYDEE-I-TAN1808/TAN-1808-report-2018Multi-channel seismic reflection data from APB13 survey, collected by Anadarko Petroleum Company, in 2013. We have re-processed data from Line APB13-25, and have displayed industry processing of Line APB13-32. The data provided correspond to data shown in Figures 2,3 and 7 of Crutchley et al. (submitted for review to JGR Solid Earth, 2020).Multi-channel seismic reflection data from Voyage SO214 aboard RV Sonne in 2011. The voyage report is available here: http://dx.doi.org/10.3289/ifm-geomar_rep_47_2011The data are displayed in Figure 9 of Crutchley et al. (submitted for review to JGR Solid Earth, 2020).
description: SEGY header words required for data loading:Trace Number: Byte 1X coordinate: Byte 81Y Coordinate: Byte 85