cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.uc4qz7
title: Occurrence Download

description: A dataset containing 5474 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hydrocotyle ranunculoides L.fil.",
 "Year 1900-2021"
 ]
}

 The dataset includes 5474 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082005-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5eadzb
title: Occurrence Download

description: A dataset containing 24143 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Buxbaumiales"
 ]
}

 The dataset includes 24143 records from 199 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034757-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-03.3069665/2555994
title: Data for EMSL Project 60473 from March 2024
DOI: 10.25582/data.2024-03.3069666/2555995
title: Data for EMSL Project 60473 from March 2024
DOI: 10.25582/data.2024-03.3069692/2555996
title: Data for EMSL Project 60473 from March 2024
DOI: 10.25582/data.2024-03.3069713/2555997
title: Data for EMSL Project 60473 from March 2024
DOI: 10.25582/data.2024-03.3069737/2555998
title: Data for EMSL Project 60473 from March 2024
DOI: 10.57934/0b01e41080773210
title: Productiestatistiek Groothandel en handelsbemiddeling
DOI: 10.25582/data.2024-03.3069764/2555999
title: Data for EMSL Project 60473 from March 2024
DOI: 10.25582/data.2024-03.3069783/2556000
title: Data for EMSL Project 60473 from March 2024
DOI: 10.25582/data.2024-03.3069789/2556001
title: Data for EMSL Project 60473 from March 2024
DOI: 10.1594/pangaea.951562
title: Lead classification maps from helicopter-borne surface temperatures with 5 m resolution during the MOSAiC expedition

description: Leads (open water and thin ice) were classified in helicopter-borne thermal infrared observations. Lead classification maps, gridded in 1 m resolution, are provided for 35 flights between 02.10.2019 and 23.04.2020 during the MOSAiC expedition in the Arctic ocean. There is one file for every flight, either on a local (MOSAiC central observatory) or regional scale (MOSAiC distributed network). The flights can be identified by two campaign specific IDs (the event-related Device Operation label or Flight ID). The lead classification maps are derived from the surface temperature maps (doi:10.1594/PANGAEA.941017) as described in Thielke et al (in preparation). The 5 m resolution data (based on block averaged surface temperature) are included to provide data with a smaller file size so they are easier accessible and available for the comparison of the effect of different spatial resolutions. The binary lead classification is performed with a temperature threshold. In this data set, in addition to the lead classification maps, also the surface temperature and time-fixed surface temperature maps are included (the same data as included in the temperature maps: doi:10.1594/PANGAEA.941017). This time-fixed surface temperature is necessary to perform the classification and included for direct comparison to the lead classification result. All data are georeferenced, also as relative coordinates to the position of RV Polarstern which allows a Polarstern centered, Lagrangian view on the lead development.
DOI: 10.1594/pangaea.951568
title: Lead classification maps from helicopter-borne surface temperatures with 1 m resolution during the MOSAiC expedition

description: Leads (open water and thin ice) were classified in helicopter-borne thermal infrared observations. Lead classification maps, gridded in 1 m resolution, are provided for 35 flights between 02.10.2019 and 23.04.2020 during the MOSAiC expedition in the Arctic ocean. There is one file for every flight, either on a local (MOSAiC central observatory) or regional scale (MOSAiC distributed network). The flights can be identified by two campaign specific IDs (the event-related Device Operation label or Flight ID). The lead classification maps are derived from the surface temperature maps (doi:10.1594/PANGAEA.941017) as described in Thielke et al (in preparation). The 5 m resolution data (based on block averaged surface temperature) are included to provide data with a smaller file size so they are easier accessible and available for the comparison of the effect of different spatial resolutions. The binary lead classification is performed with a temperature threshold. In this data set, in addition to the lead classification maps, also the surface temperature and time-fixed surface temperature maps are included (the same data as included in the temperature maps: doi:10.1594/PANGAEA.941017). This time-fixed surface temperature is necessary to perform the classification and included for direct comparison to the lead classification result. All data are georeferenced, also as relative coordinates to the position of RV Polarstern which allows a Polarstern centered, Lagrangian view on the lead development.
DOI: 10.15468/dl.qhdjnw
title: Occurrence Download

description: A dataset containing 11881 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Données collectées dans le cadre d'études et d'activités de recherche-Données rhopalocères de Inge VAN HALDER"
 ]
}

 The dataset includes 11881 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011217-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b7rh4s
title: Occurrence Download

description: A dataset containing 28354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Apatura iris (Linnaeus, 1758))",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 28354 records from 283 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0231039-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ntu4zz
title: Occurrence Download

description: A dataset listing the 77 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-120.44589 46.53791,-120.35528 46.53791,-120.35528 46.5976,-120.44589 46.5976,-120.44589 46.53791))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2021"
 ]
}

 The dataset's 77 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037139-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.949493
title: Southern Ocean Marginal Sea Ice Zone Photographs from a SCALE Winter Research Cruise

description: These sea ice photographs were taken during the 2022 Southern oCean seAsonaL Experiment (SCALE) cruise aboard South Africa's polar research vessel, the SA Agulhas II. The images depict the various sea ice types and concentrations encountered in the marginal ice zone. The images were obtained to better understand how in-situ sea ice conditions compare to those described by remote-sensed and modelled sea ice data.
DOI: 10.1594/pangaea.950792
title: Extended river flow and water level records from 1939-2021 for 8 arterially drained catchments in Ireland

description: Extended hydrometric (absolute water level and river flow) records produced via data rescue are presented for eight Irish catchments subject to arterial drainage. Records cover the period 01/10/1939 to 30/09/2021. For three catchments, additional metadata are provided to summarise the quality of rescued autographic chart records. The accompanying paper presents the procedures employed to collect and process historical data, extend flow records, and compile key metadata and information about each gauging station. The newly extended records represent the longest continuous river flow series available in Ireland, extending to the commencement of formal hydrometric monitoring in the country in 1939/1940. These data offer new insights into environmental history in Ireland and provide new empirical data for use in hydrological modelling.
DOI: 10.1594/pangaea.951610
title: TICON-3: Tidal Constants based on GESLA-3 sea-level records from globally distributed tide gauges including gauge type information (data)

description: The TIdal CONstants (TICON) dataset was first published in Piccioni et al (2019). This dataset provided estimations of 40 tidal constituents from 1,145 tide gauge records. These tide gauge records were taken from the GESLA-2 database (Woodworth et al 2017). The dataset has served the community well as it was used for the validation of global ocean tide models in several studies (e.g. Hart-Davis et al 2021; Sulzbach et al 2021). Since this, a more recent database has been produced, GESLA-3 (Haigh et al 2022), which significantly increases the number of tide gauge records to 5,119 tide gauges. This has led to the need for an update to the TICON dataset in order to account for the increased number of observations as well as the increased time-series records of the already existing tide gauges. This need has resulted in the development of the TICON-3 dataset, which is presented here. Following the same approach as described in Piccioni et al (2019), least-squares harmonic analysis was conducted on every individual tide gauge of the GESLA-3 database. Additional processing was done to remove any tide gauges with insufficient data (at least 70% of valid measurements) as well as the removal of tide gauges with less than 1 years worth of valid measurements. This has resulted in the availability of 3,471 tide gauges within the TICON-3 dataset, a significant increase of 2,323 tide gauges relative to the previous TICON version. A further addition to the TICON dataset is based on gauge type information newly provided by the GESLA-3 database, which has also been included as the final column of the TICON-3 dataset. These gauge types are either 'Coastal', 'River' and 'Lake'. Distinguishing between these tide gauge types is vital based on the applications where the data is used and it is, therefore, important that users select the appropriate gauge type.
description: Data descriptionThe new dataset is available via a text file called TICON_3.txt. In total, 40 tidal constituents are available within this dataset for 3,471 tide gauges globally. These data are stored in thirteen columns, that are structured as follows:1. Latitude of the tide gauge station in degrees2. Longitude of the tide gauge station in degrees, with range [0 360]3. Constituent name4. Amplitude in cm5. Phase lag (Greenwich lag) in degrees, with range [0 360]6. The standard deviation of the amplitude in cm7. The standard deviation of the phase lag in degrees8. Percentage of missing observations9. The total number of observations analyzed10. Length of the maximum temporal gap found in the time series in days11. Date of the first observation [day/month/year]12. Date of the last observation [day/month/year]13. Code that corresponds to the original source of the record14. Tide gauge type (either coastal, lake or river)
DOI: 10.1594/pangaea.951621
title: Tropical cyclone concentric eyewalls dataset during 1991-2020

description: Concentric eyewalls (CEs) and associated eyewall replacements play key roles in tropical cyclone (TC) intensity and structure change. A long-term dataset of CEs is highly desirable for the TC research community. Based on long-term (1991-2020) global satellite observations and deep learning algorithm for image classification, we construct a global-coverage CE dataset, including 611 CE snapshots of 311 storms during 1991-2020 (30 years), documented with serial ID (SID), time, location, intensity, translation speed and direction, and distance to land.The CE dataset is based on tropical cyclone best track data (International Best Track Archive for Climate Stewardship version4, IBTrACS v4) and brightness temperature (TB) observations from multiple PMW sensors, including Special Sensor Microwave/Imager (SSM/I, F11 (1991-2000), F13 (1995-2009), F14 (1997-2008), F15 (1999-2011)), the Special Sensor Microwave Imager and Sounder (SSMIS, F17 (2007-2020)), and Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI 1997-2015).
description: The CE dataset consists of 611 CE snapshots of 311 storms. For ease of use and long-term preservation, data files in both MATLAB and NetCDF formats are provided. Data for each storm (each snapshot) possessing CE structures is saved into a mat file (a nc file). The MATLAB files are named by SID (same as in IBTrACS v4) and the NetCDF files are named by SID and snapshot serial number.Fields in each mat or nc file are shown as below:time: time of each snapshot in the ISO format as coordinated universal time (UTC)lmi: peak 1-minute maximum sustained wind speed achieved by the storm during its lifetime (knots)intensity: 1-minute maximum sustained wind speed at the time of each snapshot (knots)longitude: longitude of the storm center at the time of each snapshot (degree)latitude: latitude of the storm center at the time of each snapshot (degree)speed: translation speed of the storm at the time of each snapshot (meter per second)direction: translation direction of the storm at the time of each snapshot (degree), measured clockwise from the Northdistance2land: distance from the storm center to land at the time of each snapshot (kilometer)tb: 401*401 field of brightness temperature for each snapshot with 8°×8° areal coverage in latitude/longitude (Kelvin)tb_lat: latitude of gridded brightness temperature observations (degree)tb_lon: longitude of gridded brightness temperature observations (degree)
DOI: 10.1594/pangaea.952172
title: Total Sky Imager observations during POLARSTERN cruise PS122/1 on 2019-10-19

description: The dataset consist of camera shots of the sky. The camera - a total sky imager manufactured by Canon (Powershot) - was mounted at the top of the Research Vessel Polarstern. At the leg1 (from September until December 2019) of the MOSAIC experiment from Tromsø to the northerns part of the Arctic Ocean this camera shots were taken with a temporal resolution of 15 minutes. The dataset represents the visible projection of weather conditions and cloud cover recorded on the vessel Polarstern in the direction near the zenith. These observations are useful for the interpretation of the atmospheric radiation measurements.
DOI: 10.1594/pangaea.952173
title: Total Sky Imager observations during POLARSTERN cruise PS122/1 on 2019-10-20

description: The dataset consist of camera shots of the sky. The camera - a total sky imager manufactured by Canon (Powershot) - was mounted at the top of the Research Vessel Polarstern. At the leg1 (from September until December 2019) of the MOSAIC experiment from Tromsø to the northerns part of the Arctic Ocean this camera shots were taken with a temporal resolution of 15 minutes. The dataset represents the visible projection of weather conditions and cloud cover recorded on the vessel Polarstern in the direction near the zenith. These observations are useful for the interpretation of the atmospheric radiation measurements.
DOI: 10.1594/pangaea.952183
title: Total Sky Imager observations during POLARSTERN cruise PS122/1 on 2019-10-21

description: The dataset consist of camera shots of the sky. The camera - a total sky imager manufactured by Canon (Powershot) - was mounted at the top of the Research Vessel Polarstern. At the leg1 (from September until December 2019) of the MOSAIC experiment from Tromsø to the northerns part of the Arctic Ocean this camera shots were taken with a temporal resolution of 15 minutes. The dataset represents the visible projection of weather conditions and cloud cover recorded on the vessel Polarstern in the direction near the zenith. These observations are useful for the interpretation of the atmospheric radiation measurements.
DOI: 10.15468/dl.fwnbc8
title: Occurrence Download

description: A dataset containing 1480 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "Country is Greece",
 "OccurrenceStatus is Present",
 "TaxonKey is Sylvia curruca (Linnaeus, 1758)",
 "Year 1990-2022"
 ]
}

 The dataset includes 1480 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112446-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.952184
title: Total Sky Imager observations during POLARSTERN cruise PS122/1 on 2019-10-22

description: The dataset consist of camera shots of the sky. The camera - a total sky imager manufactured by Canon (Powershot) - was mounted at the top of the Research Vessel Polarstern. At the leg1 (from September until December 2019) of the MOSAIC experiment from Tromsø to the northerns part of the Arctic Ocean this camera shots were taken with a temporal resolution of 15 minutes. The dataset represents the visible projection of weather conditions and cloud cover recorded on the vessel Polarstern in the direction near the zenith. These observations are useful for the interpretation of the atmospheric radiation measurements.
DOI: 10.1594/pangaea.952185
title: Total Sky Imager observations during POLARSTERN cruise PS122/1 on 2019-10-23

description: The dataset consist of camera shots of the sky. The camera - a total sky imager manufactured by Canon (Powershot) - was mounted at the top of the Research Vessel Polarstern. At the leg1 (from September until December 2019) of the MOSAIC experiment from Tromsø to the northerns part of the Arctic Ocean this camera shots were taken with a temporal resolution of 15 minutes. The dataset represents the visible projection of weather conditions and cloud cover recorded on the vessel Polarstern in the direction near the zenith. These observations are useful for the interpretation of the atmospheric radiation measurements.
DOI: 10.1594/pangaea.952186
title: Total Sky Imager observations during POLARSTERN cruise PS122/1 on 2019-10-24

description: The dataset consist of camera shots of the sky. The camera - a total sky imager manufactured by Canon (Powershot) - was mounted at the top of the Research Vessel Polarstern. At the leg1 (from September until December 2019) of the MOSAIC experiment from Tromsø to the northerns part of the Arctic Ocean this camera shots were taken with a temporal resolution of 15 minutes. The dataset represents the visible projection of weather conditions and cloud cover recorded on the vessel Polarstern in the direction near the zenith. These observations are useful for the interpretation of the atmospheric radiation measurements.
DOI: 10.1594/pangaea.952187
title: Total Sky Imager observations during POLARSTERN cruise PS122/1 on 2019-10-25

description: The dataset consist of camera shots of the sky. The camera - a total sky imager manufactured by Canon (Powershot) - was mounted at the top of the Research Vessel Polarstern. At the leg1 (from September until December 2019) of the MOSAIC experiment from Tromsø to the northerns part of the Arctic Ocean this camera shots were taken with a temporal resolution of 15 minutes. The dataset represents the visible projection of weather conditions and cloud cover recorded on the vessel Polarstern in the direction near the zenith. These observations are useful for the interpretation of the atmospheric radiation measurements.
DOI: 10.15468/dl.a7skj8
title: Occurrence Download

description: A dataset containing 20531 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The Ichthyology Collection at the Staatliches Museum für Naturkunde Stuttgart"
 ]
}

 The dataset includes 20531 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0284263-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z19ans
title: Occurrence Download

description: A dataset containing 1300 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Data from vegetation plots at Atiquipa, Southern Peru"
 ]
}

 The dataset includes 1300 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049047-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.951291
title: Optimal perturbation (Wo=15, Re_δ=530): snapshots in a (z,r)-cross-section

description: The data are obtained via an in-house Matlab script (developed by Dr. Baofang Song) to compute the non-modal transient growth of disturbances in pulsatile and oscillatory pipe flows. In this study, a Newtonian fluid driven by pulsatile and oscillatory flow rate flows in a straight pipe. In pulsatile flow, there are three governing parameters: steady Reynolds number (defined by the steady flow component), pulsation amplitude (ratio of oscillatory and steady flow component) and Womersley number (dimensionless pulsation and oscillation frequency). In oscillatory flow, due to vanishment of steady flow component, oscillatory Reynolds number (defined by the oscillation flow component) and Womersley number. The Reynolds number defined by the thickness of Stokes layer is alternatively used for the oscillatory Reynolds number. The study was carried out in a manner that one governing parameter varies while other governing parameters are fixed.The data file 'OptimalPerturbation_ZRCros_Wo15_Redelta589.dat' shows the time series of the three components of velocity and spanwise vorticity in the radial-radial cross-section, for the Reynolds number (defined with Stokes layer thickness) of 589 and Womersley number of 15.This file includes six columns: the first column indicates the streamwise coordinate; the second column indicates the radial coordinate; the third column indicates the radial component of velocity; the fourth column indicates the azimuthal component of velocity; the fifth column indicates the streamwise component of velocity; the sixth column indicates the spanwise vorticity.
description: #(k_op,m_op)=( 4.20000000,0)VARIABLES = "x(streamwise)", "y(radial)", "ur", "ut", "uz", "Spanwise(Azimuthal)Vort"