cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1468534
title: Sardinia_Rhs_Noresm1-M_Rcp4P5_2006-2099_Monthly.Dat

description: ISIMIP-2a climate data cutout provided for Sardinia in the framework of SIM4NEXUS
DOI: 10.5281/zenodo.1468535
title: Sardinia_Rhs_Noresm1-M_Rcp6P0_2006-2099_Monthly.Dat

description: ISIMIP-2a climate data cutout provided for Sardinia in the framework of SIM4NEXUS
DOI: 10.5281/zenodo.1468536
title: Sardinia_Rhs_Noresm1-M_Rcp6P0_2006-2099_Monthly.Dat

description: ISIMIP-2a climate data cutout provided for Sardinia in the framework of SIM4NEXUS
DOI: 10.5281/zenodo.1468538
title: Sardinia_Rlds_Noresm1-M_Historical_1961-2005_Monthly.Dat

description: ISIMIP-2a climate data cutout provided for Sardinia in the framework of SIM4NEXUS
DOI: 10.5281/zenodo.1470515
title: Unemployed In Valencian Region

description: The database comprises several tables with information about unemployed characteristics in Valencian region (Spain). The "unemployed.RData" contains the same dataset but in R format
DOI: 10.6073/pasta/9c31ac7f017cb5f9a6c5fc5f42c0fe9a
title: Stream water chemistry data for Green Lake 5 outlet, 1984 - ongoing.

description: This is a summary of major ion concentrations for stream water samples collected from the outlet stream at Green Lake 5.
DOI: 10.21227/0bny-4y65
title: Reliability paremeters for UHVDC

description: Reliability paremeters for UHVDC
DOI: 10.5281/zenodo.1466163
title: Mhd Simulation Results For The Investigation Of Ftes

description: The unit of data:

Length unit, like x, y z, is Re(the radius of the Earth).

The unit of magnetic field data is nT.

The unit of velocity is km/s.

The unit of density is cm^-3.

The unit of pressure is nPa.

<strong>1</strong>.'no2_bn_mp_betsuni_topo_halfopen_17_r0.dat ' contains the magnetic field and some plasma data on the surface of magnetopause in full time step(201 time steps) of case 2.

This is a binary data, and you can read it as follows"

read,ntht,nphi     (ntht,nphi are integers)

define xmp,ymp,zmp as the two dimension array (ntht,nphi)

read,xmp,ymp,zmp  (xmp,ymp,zmp is the coordinates of points, the unit is Re) 

define bn,bl,bm,p_1,b_mag,vx_1,d_1 (these are 2 dimensional arrays (ntht, nphi))

begin the loops for i=0,200

read,time(this is the time , you need to multiply 0.935 to get the physical time. For example, if the value of time you read is 680, then the physical time is 680*0.935)

read, bn,bl,bm,p_1,b_mag,vx_1,d_1 (bn,bl,bm are the magnetic field data,p_1 is pressure, vx_1 is the magnitude of velocity,d_1 is the density)

endfor

<strong> 2</strong>. 'S05D07V750B0013-13bt_cut_large_bipolar_bt119 ' , 'S05D07V750B0013-13bt_cut_large_bipolar_bt120' and 'S05D07V750B0013-13bt_cut_large_bipolar_bt121' are the data in 3d of case2 in 119th(2225.3s),120th(2244s) and 121th(2262.7s) time step separately.

These are binary data, you can read as follows:

read,m,n,l   (m,n,l are integers)

define, x,y,z as 1 dimensional array, x(m), y(n), z(l)

read,,x,y,z

define d,vx,vy,vz,bx,by,bz,p,tracer as 3 dimensional arrays, like d(m,n,l). d is density, vx is the velocity of x axis, vy is the velocity of y direction, vz is the velocity of z axis, bx, by and bz are the magnetic field in x, y, z, p is pressure. tracer is the percentage of solar wind particles. 

read,d,vx,vy,vz,bx,by,bz,p,tracer

<strong>3</strong>.S05D07V750B0013-13bt_cut_large_bipolar_bt121.silo  is a 3 dimensional data which can be opened and  plotted by Visit.

<strong>4</strong>.no1_bn_mp_betsuni_topo_half_r0_178.dat  and no3_bn_mp_betsuni_topo_half_1120_34.dat  contains the magnetic field and some plasma data on the surface of magnetopause in only one time step of case 1 and case3.

The time step of case1' s data is 178th, that is 3328.6s.

The time step of case3' s data is 34th, that is 635.8s.

These are binary data, you can read the data as follows:

read,ntht,nphi   ( these are integers)

define xmp,ymp,zmp   as 2 dimensional arrays, like xmp(ntht,nphi)

read, xmp,ymp,zmp

read, time( if you want to get the physical time point, you should calculate 0.935*time)

define bn,bl,bm,p_1,b_mag,vx_1,d_1 as 2 dimensional arrays, like bn(ntht,nphi)

read,bn,bl,bm,p_1,b_mag,vx_1,d_1

<strong>5</strong>. S05D48V300B0033-33bt_cut_large_bipolar37 ,  S05D07V750B0013-13bt_cut_large_bipolar_bt37 and S05D03V1200B0008-08bt_cut_large_bipolar_bt37  are the data in 3 dimension of case1 ,2 and 3 in the 37th(691.9s) time step separately.

These data are the binary data and you can read these as the steps shown in 2.
DOI: 10.5281/zenodo.1466164
title: Mhd Simulation Results For The Investigation Of Ftes

description: The unit of data:

Length unit, like x, y z, is Re(the radius of the Earth).

The unit of magnetic field data is nT.

The unit of velocity is km/s.

The unit of density is cm^-3.

The unit of pressure is nPa.

<strong>1</strong>.'no2_bn_mp_betsuni_topo_halfopen_17_r0.dat ' contains the magnetic field and some plasma data on the surface of magnetopause in full time step(201 time steps) of case 2.

This is a binary data, and you can read it as follows"

read,ntht,nphi     (ntht,nphi are integers)

define xmp,ymp,zmp as the two dimension array (ntht,nphi)

read,xmp,ymp,zmp  (xmp,ymp,zmp is the coordinates of points, the unit is Re) 

define bn,bl,bm,p_1,b_mag,vx_1,d_1 (these are 2 dimensional arrays (ntht, nphi))

begin the loops for i=0,200

read,time(this is the time , you need to multiply 0.935 to get the physical time. For example, if the value of time you read is 680, then the physical time is 680*0.935)

read, bn,bl,bm,p_1,b_mag,vx_1,d_1 (bn,bl,bm are the magnetic field data,p_1 is pressure, vx_1 is the magnitude of velocity,d_1 is the density)

endfor

<strong> 2</strong>. 'S05D07V750B0013-13bt_cut_large_bipolar_bt119 ' , 'S05D07V750B0013-13bt_cut_large_bipolar_bt120' and 'S05D07V750B0013-13bt_cut_large_bipolar_bt121' are the data in 3d of case2 in 119th(2225.3s),120th(2244s) and 121th(2262.7s) time step separately.

These are binary data, you can read as follows:

read,m,n,l   (m,n,l are integers)

define, x,y,z as 1 dimensional array, x(m), y(n), z(l)

read,,x,y,z

define d,vx,vy,vz,bx,by,bz,p,tracer as 3 dimensional arrays, like d(m,n,l). d is density, vx is the velocity of x axis, vy is the velocity of y direction, vz is the velocity of z axis, bx, by and bz are the magnetic field in x, y, z, p is pressure. tracer is the percentage of solar wind particles. 

read,d,vx,vy,vz,bx,by,bz,p,tracer

<strong>3</strong>.S05D07V750B0013-13bt_cut_large_bipolar_bt121.silo  is a 3 dimensional data which can be opened and  plotted by Visit.

<strong>4</strong>.no1_bn_mp_betsuni_topo_half_r0_178.dat  and no3_bn_mp_betsuni_topo_half_1120_34.dat  contains the magnetic field and some plasma data on the surface of magnetopause in only one time step of case 1 and case3.

The time step of case1' s data is 178th, that is 3328.6s.

The time step of case3' s data is 34th, that is 635.8s.

These are binary data, you can read the data as follows:

read,ntht,nphi   ( these are integers)

define xmp,ymp,zmp   as 2 dimensional arrays, like xmp(ntht,nphi)

read, xmp,ymp,zmp

read, time( if you want to get the physical time point, you should calculate 0.935*time)

define bn,bl,bm,p_1,b_mag,vx_1,d_1 as 2 dimensional arrays, like bn(ntht,nphi)

read,bn,bl,bm,p_1,b_mag,vx_1,d_1

<strong>5</strong>. S05D48V300B0033-33bt_cut_large_bipolar37 ,  S05D07V750B0013-13bt_cut_large_bipolar_bt37 and S05D03V1200B0008-08bt_cut_large_bipolar_bt37  are the data in 3 dimension of case1 ,2 and 3 in the 37th(691.9s) time step separately.

These data are the binary data and you can read these as the steps shown in 2.
DOI: 10.5281/zenodo.1468537
title: Sardinia_Rlds_Noresm1-M_Historical_1961-2005_Monthly.Dat

description: ISIMIP-2a climate data cutout provided for Sardinia in the framework of SIM4NEXUS
DOI: 10.5281/zenodo.1468539
title: Sardinia_Rlds_Noresm1-M_Rcp2P6_2006-2099_Monthly.Dat

description: ISIMIP-2a climate data cutout provided for Sardinia in the framework of SIM4NEXUS
DOI: 10.5281/zenodo.1468540
title: Sardinia_Rlds_Noresm1-M_Rcp2P6_2006-2099_Monthly.Dat

description: ISIMIP-2a climate data cutout provided for Sardinia in the framework of SIM4NEXUS
DOI: 10.5281/zenodo.1468543
title: Sardinia_Rlds_Noresm1-M_Rcp4P5_2006-2099_Monthly.Dat

description: ISIMIP-2a climate data cutout provided for Sardinia in the framework of SIM4NEXUS
DOI: 10.5281/zenodo.1468544
title: Sardinia_Rlds_Noresm1-M_Rcp4P5_2006-2099_Monthly.Dat

description: ISIMIP-2a climate data cutout provided for Sardinia in the framework of SIM4NEXUS
DOI: 10.5281/zenodo.1468856
title: Data from: Dating and morpho-stratigraphy of uplifted marine terraces in the Makran subduction zone (Iran)

description: This data comes from the study of marine terraces from the Iranian Makran. This second version contains .zip compressed files instead of .rar .<br>
A_files are seven terrace maps of the region of Jask, Tang, Gurdim, Konarak, Chabahar-Ramin, Lipar and Pasabander.<br>
B_file are results of Radiocarbon and 230Th/U dating of mollusk shells from the marine deposits above the terraces.<br>
C_file are results of Optically Stimulated Luminescence dating (OSL) of said deposits.<br>
D_files are field pictures.<br>
The data is published in support for the paper mentioned in the title (submitted to Earth Surface Dynamics).

Brief description:<br>
Terrace maps are accompanied with a datamodel excel file explaining the different GIS layers.<br>
The maps are provided in both .KMZ files (for Google Earth) and Shapefiles

Radiometric (i.e. both Radiocarbon and 230Th/U) analytical details are provided, together with XRD analysis of the Aragonitic shells and some SEM pictures of both Aragonitic and Calcitic shells. Method details are in the paper.

OSL results are provided with the analytical details, such as: Environmental dose parameters, OSL raw measurements (out of the machine), OSL Histograms, Dose-Recovery tests and Fading test results. Method details are in the paper.

Additional field pictures are provided with their legends (.txt file) and geolocalisation (.kmz file).
description: {"references": ["Durcan, J.A., King, G.E., and Duller, G.A.T., 2015, Quaternary Geochronology DRAC\u202f: Dose Rate and Age Calculator for trapped charge dating. Quaternary Geochronology, v. 28, p. 54\u201361, doi: 10.1016/j.quageo.2015.03.012.", "Arslanov, K.A., Tertychny, N.I., Kuznetsov, V.Y., Chernov, S.B., Lokshin, N.V., Gerasimova, S.A., Maksimov, F.E., and Dodonov, A.E., 2002, Th/U and 14 C Dating of mollusc shells from the coasts of the Caspian, Barents, White and Black Seas. Geochronometria, v. 21, p. 49\u201356.", "Bronk Ramsey, C., and Lee, S., 2013, Recent and Planned Developments of the Program OxCal. Radiocarbon, v. 55, no. 2\u20133, p. 720\u2013730, doi: 10.2458/azu_js_rc.55.16215.", "Reimer, P., Bard, E., Bayliss, A., Beck, J.W., Blackwell, P.G., Bronk Ramsey, C., Buck, C.E., Cheng, H., Edwards, R.L., Friedrich, M., Grootes, P.M., Guilderson, T.P., Haflidason, H., Hajdas, I., et al., 2013, IntCal13 and Marine13 Radiocarbon Age Calibration Curves 0\u201350,000 Years cal BP. Radiocarbon, v. 55, no. 4, p. 1869\u20131887, doi: 10.2458/azu_js_rc.55.16947."]}
DOI: 10.5281/zenodo.1468857
title: Data From: Dating And Morphostratigraphy Of Uplifted Marine Terraces In The Makran Subduction Zone (Iran)

description: This data comes from the study of marine terraces from the Iranian Makran<br>
A_files are seven terrace maps of the region of Jask, Tang, Gurdim, Konarak, Chabahar-Ramin, Lipar and Pasabander.<br>
B_file are results of Radiocarbon and 230Th/U dating of mollusk shells from the marine deposits above the terraces.<br>
C_file are results of Optically Stimulated Luminescence dating (OSL) of said deposits.<br>
D_files are field pictures.<br>
The data is published in support for the paper mentioned in the title (submitted to Earth Surface Dynamics).

Brief description:<br>
Terrace maps are accompanied with a datamodel excel file explaining the different GIS layers.<br>
The maps are provided in both .KMZ files (for Google Earth) and Shapefiles

Radiometric (i.e. both Radiocarbon and 230Th/U) analytical details are provided, together with XRD analysis of the Aragonitic shells and some SEM pictures of both Aragonitic and Calcitic shells. Method details are in the paper.

OSL results are provided with the analytical details, such as: Environmental dose parameters, OSL raw measurements (out of the machine), OSL Histograms, Dose-Recovery tests and Fading test results. Method details are in the paper.

Additional field pictures are provided with their legends (.txt file) and geolocalisation (.kmz file).
description: {"references": ["Durcan, J.A., King, G.E., and Duller, G.A.T., 2015, Quaternary Geochronology DRAC\u202f: Dose Rate and Age Calculator for trapped charge dating. Quaternary Geochronology, v. 28, p. 54\u201361, doi: 10.1016/j.quageo.2015.03.012.", "Arslanov, K.A., Tertychny, N.I., Kuznetsov, V.Y., Chernov, S.B., Lokshin, N.V., Gerasimova, S.A., Maksimov, F.E., and Dodonov, A.E., 2002, Th/U and 14 C Dating of mollusc shells from the coasts of the Caspian, Barents, White and Black Seas. Geochronometria, v. 21, p. 49\u201356.", "Bronk Ramsey, C., and Lee, S., 2013, Recent and Planned Developments of the Program OxCal. Radiocarbon, v. 55, no. 2\u20133, p. 720\u2013730, doi: 10.2458/azu_js_rc.55.16215.", "Reimer, P., Bard, E., Bayliss, A., Beck, J.W., Blackwell, P.G., Bronk Ramsey, C., Buck, C.E., Cheng, H., Edwards, R.L., Friedrich, M., Grootes, P.M., Guilderson, T.P., Haflidason, H., Hajdas, I., et al., 2013, IntCal13 and Marine13 Radiocarbon Age Calibration Curves 0\u201350,000 Years cal BP. Radiocarbon, v. 55, no. 4, p. 1869\u20131887, doi: 10.2458/azu_js_rc.55.16947."]}
DOI: 10.5281/zenodo.1468865
title: Suicide, Mental Health & Economic Statistics

description: The dataset contains data on world suicide rate (per 100 000 people, 2000, 2005, 20010, 2016 years), mental disorders rate (population%, 2017), share of population with substance use disorders (population%, 1990-2016), GDP per capita by PPP (current US$, 1990-2017), adjusted net national income per capita (current US$, 2016) and unemployment rate (population %, 1991-2017), which are then analysed and compared by country.
DOI: 10.5281/zenodo.1468866
title: Suicide, Mental Health & Economic Statistics

description: The dataset contains data on world suicide rate (per 100 000 people, 2000, 2005, 20010, 2016 years), mental disorders rate (population%, 2017), share of population with substance use disorders (population%, 1990-2016), GDP per capita by PPP (current US$, 1990-2017), adjusted net national income per capita (current US$, 2016) and unemployment rate (population %, 1991-2017), which are then analysed and compared by country.
DOI: 10.5258/soton/d0454
title: Dataset for Rapid multiplexed detection on later-flow devices using a laser direct-write technique

description: Data for paper : He, P., Katis, I., Eason, R., & Sones, C. L. (2018). Rapid Multiplexed Detection on Lateral-Flow Devices Using a Laser Direct-Write Technique. DOI: 10.3390/bios8040097
DOI: 10.5281/zenodo.1455792
title: Otu Table: Ecosystems And Networks Integrated With Genes And Molecular Assemblies (Enigma)

description: This dataset contains the OTU table and associated metadata from the ENIGMA study which was used in "A Practical Guide to Methods Controlling False Discoveries in Computational Biology" (Korthauer, K. and Kimes, P., et al. 2018; associated github: https://github.com/pkimes/benchmark-fdr/).

The original raw data is available on MG-RAST (project mgp8190): https://www.mg-rast.org/mgmain.html?mgpage=project&project=mgp8190

These data were processed as described in Korthauer & Kimes et al, 2018. The OTU table was provided by Renmao Tian and generated with the following pipeline: http://zhoulab5.rccc.ou.edu/pipelines/ASAP_web/pipeline_asap.php. 

More information about the ENIGMA project can be found at http://enigma.lbl.gov/
DOI: 10.5281/zenodo.1455793
title: Otu Table: Ecosystems And Networks Integrated With Genes And Molecular Assemblies (Enigma)

description: This dataset contains the OTU table and associated metadata from the ENIGMA study which was used in "A Practical Guide to Methods Controlling False Discoveries in Computational Biology" (Korthauer, K. and Kimes, P., et al. 2018; associated github: https://github.com/pkimes/benchmark-fdr/).

The original raw data is available on MG-RAST (project mgp8190): https://www.mg-rast.org/mgmain.html?mgpage=project&project=mgp8190

These data were processed as described in Korthauer & Kimes et al, 2018. The OTU table was provided by Renmao Tian and generated with the following pipeline: http://zhoulab5.rccc.ou.edu/pipelines/ASAP_web/pipeline_asap.php. 

More information about the ENIGMA project can be found at http://enigma.lbl.gov/
DOI: 10.5281/zenodo.1468545
title: Sardinia_Rlds_Noresm1-M_Rcp6P0_2006-2099_Monthly.Dat

description: ISIMIP-2a climate data cutout provided for Sardinia in the framework of SIM4NEXUS
DOI: 10.15468/dl.nwbwyn
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-36.80963 29.39141,-5.35731 29.39141,-5.35731 46.35138,-36.80963 46.35138,-36.80963 29.39141))",
 "TaxonKey is Bathophilus nigerrimus Giglioli, 1882"
 ]
}

 The dataset includes 13 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078378-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6vr5st
title: Occurrence Download

description: A dataset containing 357 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Eubranchipus grubii (Dybowski, 1860)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 357 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078380-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25810/yr7w-5c22.22
title: Korean Newspaper Coverage of Climate Change or Global Warming, 2000-2024 - July 2024

description: The Media and Climate Change Observatory Data monitors 130 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.15468/dl.3gd87b
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Eubranchipus vernalis (Verrill, 1869)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 87 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078382-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q5tag8
title: Occurrence Download

description: A dataset containing 90960 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Barbastella barbastellus (Schreber, 1774)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 90960 records from 1663 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078381-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/promice/data/sentinel1icevelocity/greenlandicesheet/rsvlei
title: IV_20210606_20210630.nc

description: ice velocity
DOI: 10.13145/bacdive13505.20211221.6
title: Actinomycetospora straminea Tamura et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.22008/promice/data/sentinel1icevelocity/greenlandicesheet/0zid8t
title: IV_20210618_20210712.nc

description: ice velocity
DOI: 10.22008/promice/data/sentinel1icevelocity/greenlandicesheet/ftaj2m
title: IV_20210618_20210712.png

description: ice velocity
DOI: 10.22008/promice/data/sentinel1icevelocity/greenlandicesheet/u0yqhm
title: IV_20210606_20210630.png

description: ice velocity
DOI: 10.22008/promice/data/sentinel1icevelocity/greenlandicesheet/wehnnu
title: IV_20210630_20210724.nc

description: ice velocity
DOI: 10.13145/bacdive13506.20211221.6
title: Actinomycetospora succinea Tamura et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.22008/promice/data/sentinel1icevelocity/greenlandicesheet/f4wytb
title: IV_20210712_20210805.png

description: ice velocity
DOI: 10.22008/promice/data/sentinel1icevelocity/greenlandicesheet/hkuauq
title: IV_20210712_20210805.nc

description: ice velocity
DOI: 10.22008/promice/data/sentinel1icevelocity/greenlandicesheet/sghboa
title: IV_20210630_20210724.png

description: ice velocity
DOI: 10.22008/promice/data/sentinel1icevelocity/greenlandicesheet/vpezhb
title: IV_20210724_20210817.png

description: ice velocity
DOI: 10.22008/promice/data/sentinel1icevelocity/greenlandicesheet/xcveem
title: IV_20210724_20210817.nc

description: ice velocity
DOI: 10.22008/promice/data/sentinel1icevelocity/greenlandicesheet/65vvlg
title: IV_20210805_20210829.nc

description: ice velocity
DOI: 10.22008/promice/data/sentinel1icevelocity/greenlandicesheet/kde3ws
title: IV_20210817_20210910.png

description: ice velocity
DOI: 10.22008/promice/data/sentinel1icevelocity/greenlandicesheet/lhw2ci
title: IV_20210805_20210829.png

description: ice velocity
DOI: 10.22008/promice/data/sentinel1icevelocity/greenlandicesheet/tckkrm
title: IV_20210829_20210922.nc

description: ice velocity
DOI: 10.22008/promice/data/sentinel1icevelocity/greenlandicesheet/zz3qkx
title: IV_20210817_20210910.nc

description: ice velocity
DOI: 10.13145/bacdive13507.20211221.6
title: Actinomycetospora iriomotensis Yamamura et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.22008/promice/data/sentinel1icevelocity/greenlandicesheet/1lozh7
title: IV_20210910_20211004.png

description: ice velocity
DOI: 10.22008/promice/data/sentinel1icevelocity/greenlandicesheet/cdnrzh
title: IV_20210829_20210922.png

description: ice velocity
DOI: 10.22008/promice/data/sentinel1icevelocity/greenlandicesheet/hzqc84
title: IV_20210910_20211004.nc

description: ice velocity
DOI: 10.22008/promice/data/sentinel1icevelocity/greenlandicesheet/rh0anq
title: IV_20210922_20211016.nc

description: ice velocity
DOI: 10.13145/bacdive13508.20211221.6
title: Goodfellowiella coeruleoviolacea (Preobrazhenskaya and Terekhova 1987) Labeda et al. 2008 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.22008/promice/data/sentinel1icevelocity/greenlandicesheet/bw0gqa
title: IV_20211004_20211028.nc

description: ice velocity
DOI: 10.22008/promice/data/sentinel1icevelocity/greenlandicesheet/e9gsh5
title: IV_20211016_20211109.png

description: ice velocity
DOI: 10.22008/promice/data/sentinel1icevelocity/greenlandicesheet/o5ig4n
title: IV_20211004_20211028.png

description: ice velocity
DOI: 10.22008/promice/data/sentinel1icevelocity/greenlandicesheet/olwepu
title: IV_20211016_20211109.nc

description: ice velocity