cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18710/xfwqec/8tkqz7
title: 20191111_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/9wtlgm
title: 20191023_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/c1udee
title: 20191110_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/ghza6a
title: 20190406_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/iasusf
title: 20190720_KHO_REDTEC_gal.txt
DOI: 10.18710/xfwqec/kzyf0b
title: 20190810_KHO_REDTEC_gal.txt
DOI: 10.18710/xfwqec/lzi8df
title: 20191015_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/mf8ooz
title: 20190118_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/ngkusk
title: 20190812_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/r9nxil
title: 20191101_KHO_REDTEC_glo.txt
DOI: 10.18710/5e8vui
title: Replication data for: Following the Fate of Dye-Containing Liposomes in Vitro

description: This dataset contains the experimental work associated to the publication "Following the Fate of Dye-Containing Liposomes In Vitro" Int. J. Mol. Sci. 2020, 21(14), 4847; https://doi.org/10.3390/ijms21144847. &lt;p&gt; The rather limited success of translation from basic research to clinical application has been highlighted as a major issue in the nanomedicine field. To identify the factors influencing the applicability of nanosystems as drug carriers and potential nanomedicine, we focused on following their fate through fluorescence-based assays, namely flow cytometry and imaging. These methods are often used to follow the nanocarrier internalization and targeting; however, the validity of the obtained results strictly depends on how much the nanosystem’s fate can be inferred from the fate of fluorescent dyes. To evaluate the parameters that affect the physicochemical and biological stability of the labeled nanosystems, we studied the versatility of two lipid dyes, TopFluor®-PC and Cy5-DSPE, in conventional liposomes utilizing well-defined in vitro assays. Our results suggest that the dye can affect the major characteristics of the system, such as vesicle size and zeta-potential. However, a nanocarrier can also affect the dye properties. Medium, temperature, time, fluorophore localization and its concentration, as well as their interplay, affect the outcome of tracing experiments. Therefore, an in-depth characterization of the labeled nanosystem should be fundamental to understand the conditions that validate the results within the screening process in optimization of nanocarrier. &lt;/p&gt;
description: This dataset is a collection of laboratory experiments for the characterization of the physicochemical properties of fluorescently labeled liposomes, as well as their behavior in biological environment. The experiments include: size stability (NICOMP photon correlation spectroscopy), zeta-potential stability (Zetasizer), fluorescence stability (SPARK spettrofluorimeter), biological effect (NO production on LPS-induced macrophages, cell proliferation on macrophages and keratinocytes), fluorescence tracing (Flow cytometry and imaging).
DOI: 10.18710/5e8vui/qkunht
title: ISX_RAW_untreated_0h_78-99.png
DOI: 10.18710/hk395z/4rnqhc
title: 20190911_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/bkfwvr
title: 20190325_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/cftwn2
title: 20190315_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/igg8ig
title: 20190215_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/mdr466
title: 20191105_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/ngcudh
title: 20190808_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/nvkh78
title: 20191209_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/u1dkw7
title: 20191110_NYA_REDTEC_gps.txt
DOI: 10.18710/omf3ux
title: Replication Data for: Thermal characterization of pockmarks across Vestnesa and Svyatogor Ridges, offshore Svalbard

description: 2D high-resolution seismic data from the Svyatogor Ridge, Fram Strait, acquired in 2014 during cruise CAGE14-1. The seismic data has been used together with heat flow measurements to describe the thermal regime of focused fluid flow features that occur within large sediment drift deposits in the Fram Strait, offshore western Svalbard.
DOI: 10.18710/q0f8pa/lshm7h
title: PLAG99.stl
DOI: 10.18710/q0f8pa/vdpwty
title: PLAG31.stl
DOI: 10.18710/q0f8pa/wt3ri9
title: PLAG122.stl
DOI: 10.18710/xfwqec/37jliu
title: 20190120_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/6fay5i
title: 20191126_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/6zco1u
title: 20191228_KHO_REDTEC_gal.txt
DOI: 10.18710/xfwqec/8etuqz
title: 20190706_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/8vqn0n
title: 20190519_KHO_REDTEC_gal.txt
DOI: 10.18710/xfwqec/cht4iy
title: 20191024_KHO_REDTEC_gal.txt
DOI: 10.18710/xfwqec/e1m6nv
title: 20191030_KHO_REDTEC_gal.txt
DOI: 10.18710/xfwqec/kxux1e
title: 20191127_KHO_REDTEC_gal.txt
DOI: 10.18710/xfwqec/muqbz6
title: 20190215_KHO_REDTEC_gal.txt
DOI: 10.18710/xfwqec/q8jbqg
title: 20190108_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/qaxplf
title: 20190506_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/sbznps
title: 20190811_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/t6lzpw
title: 20191102_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/ughpjx
title: 20191021_KHO_REDTEC_gal.txt
DOI: 10.18710/xfwqec/vjpgku
title: 20190108_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/vllkdj
title: 20190428_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/xzx6pp
title: 20191117_KHO_REDTEC_gps.txt
DOI: 10.18710/fert42/j69f9u
title: suz.conllup

description: See readme.txt
DOI: 10.18710/hk395z/5fh6do
title: 20190514_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/byuqnk
title: 20190105_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/cxwpm5
title: 20191106_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/gdvq7f
title: 20191117_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/jfsmqd
title: 20191020_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/lyfumc
title: 20190420_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/r6prsl
title: 20190601_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/sw78gv
title: 20190622_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/ucqoy1
title: 20190918_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/wtakid
title: 20190920_NYA_REDTEC_gps.txt
DOI: 10.18710/q0f8pa/0om3bv
title: PLAG59.stl
DOI: 10.18710/q0f8pa/3fgpub
title: PLAG157.stl
DOI: 10.18710/q0f8pa/7au87n
title: PLAG10.stl
DOI: 10.18710/q0f8pa/fldskp
title: PLAG145.stl
DOI: 10.18710/q0f8pa/rhwn4e
title: PLAG159.stl
DOI: 10.18710/q0f8pa/wcpkxf
title: PLAG24.stl
DOI: 10.18710/0wghzm/w8xiq7
title: 20190506_NYA_REDOBS_glo.txt
DOI: 10.18710/fert42/bkkr51
title: conllup_to_conllu9.rb

description: See readme.txt
DOI: 10.18710/fert42/cxxg3e
title: lav20_lav80_parsed_b.xml

description: See readme.txt
DOI: 10.18710/fert42/ihjlbd
title: orvOpt.7z

description: Maltparser optimization settings
DOI: 10.18710/hk395z/1j2yde
title: 20190830_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/5gzx2j
title: 20190112_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/gj8uys
title: 20190308_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/gy5b7b
title: 20190204_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/ibflzp
title: 20190905_NYA_REDTEC_glo.txt
DOI: 10.18710/hk395z/m4gqxf
title: 20190307_NYA_REDTEC_gps.txt
DOI: 10.18710/hk395z/nyse7u
title: 20190702_NYA_REDTEC_gps.txt
DOI: 10.18710/q0f8pa/cwoqbq
title: PLAG151.stl
DOI: 10.18710/q0f8pa/ikicmf
title: PLAG146.stl
DOI: 10.18710/q0f8pa/nxtgrf
title: PLAG14.stl
DOI: 10.18710/q0f8pa/qd7hzv
title: PLAG60.stl
DOI: 10.18710/q0f8pa/xcsxt8
title: PLAG28.stl
DOI: 10.18710/xfwqec/1jsztg
title: 20191027_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/2r7x1n
title: 20190417_KHO_REDTEC_gal.txt
DOI: 10.18710/xfwqec/aqhpgi
title: 20191009_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/d26z61
title: 20190117_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/mowdul
title: 20190815_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/szy46r
title: 20190618_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/vamhfk
title: 20191116_KHO_REDTEC_gps.txt
DOI: 10.18710/0wghzm/o0ignl
title: 20191019_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/s1hrt8
title: 20190626_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/xacfm5
title: 20191122_NYA_REDOBS_gal.txt
DOI: 10.18710/fert42/juue6j
title: lav20_orv_parsed_b.xml

description: See readme.txt
DOI: 10.18710/fert42/tblkdn
title: kiev.conllx

description: See readme.txt
DOI: 10.18710/fert42/tn5b0p
title: compare_aligned3b_morph.rb

description: See readme.txt
DOI: 10.18710/hk395z/hpooyh
title: 20190406_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/hrdeqm
title: 20190624_NYA_REDTEC_gps.txt
DOI: 10.18710/osaybd
title: Replication data for: Adolescents’ experiences of the information they received about the coronavirus (Covid-19) in Norway: a cross-sectional study

description: This dataset contains answers from 377 adolescents from secondary high school (class 11, 12, and 13), who answered questions about how they experienced the information provided about the coronavirus and how the virus affected their everyday life in the period 2020-03-16 to 2020-05.05 in Norway.
description: SPSS, 26
DOI: 10.18710/s94yft/iot70x
title: Sens2change_WaterChemistry.txt
DOI: 10.18710/xfwqec/8fgxgu
title: 20191117_KHO_REDTEC_glo.txt
DOI: 10.18710/0wghzm/jkoubn
title: 20191221_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/krueab
title: 20190819_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/lxbddr
title: 20190218_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/n6y803
title: 20190227_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/xzujbj
title: 20190530_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/yojuci
title: 20190804_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/z0x3qr
title: 20191130_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/zlmc5v
title: 20191215_NYA_REDOBS_gps.txt
DOI: 10.18710/hk395z
title: GNSS Total Electron Content Data (60 s) at Ny-Ålesund in 2019

description: &lt;p&gt;This data set contains Total Electron Content data at 60 seconds time resolution at Ny-Ålesund, Svalbard.

The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.&lt;/p&gt;

&lt;p&gt;A detailed description of the data structure and format is gathered in the documentation data set: &lt;i&gt;Oksavik, Kjellmar, 2020, "Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard", DataverseNO, &lt;A HREF="https://doi.org/10.18710/EA5BYX"&gt;https://doi.org/10.18710/EA5BYX&lt;/A&gt;&lt;/i&gt;
&lt;/p&gt;
&lt;p&gt;&lt;b&gt;This data set is part of a larger collection: &lt;i&gt;Oksavik, Kjellmar, 2020. "The University of Bergen Global Navigation Satellite System Data Collection". DataverseNO. &lt;A HREF="https://doi.org/10.18710/AJ4S-X394"&gt;https://doi.org/10.18710/AJ4S-X394&lt;/A&gt;.&lt;/i&gt;&lt;/b&gt;
&lt;/p&gt;
description: Ny-Ålesund TEC 60 s
description: Matlab, R2018a
DOI: 10.18710/hk395z/h48qbf
title: 20191106_NYA_REDTEC_gps.txt
DOI: 10.18710/qayi4o
title: Synthetic-Aperture Radar (SAR) based Ice types/Ice edge dataset for deep learning analysis

description: This dataset has been prepared for Ice types/Ice edge analysis based on deep neural networks. The dataset has been created based on 31 scenes in north of Svalbard based on labeled polygons. The dataset contains six classes including OpenWater, Leads with water, Brash/Pancake Ice, Thin Ice, Thick Ice-Flat and Thick Ice-Ridged. The data records, called patches, extracted all from inside of each polygon with stride 10 in different sizes, 10x10, 20x20, 32x32, 36x36, 46x46 pixels for each class
DOI: 10.18710/xfwqec/2ywfiu
title: 20190618_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/53bork
title: 20190827_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/7lbiqm
title: 20191017_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/7nl1y1
title: 20191018_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/8e0vxv
title: 20190107_KHO_REDTEC_gal.txt
DOI: 10.18710/xfwqec/aw4ih9
title: 20190324_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/bgijox
title: 20191104_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/blfozm
title: 20190502_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/ceorto
title: 20190501_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/e8qxpk
title: 20190823_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/ggyoh2
title: 20191214_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/glt0fc
title: 20190917_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/hv9pcs
title: 20191020_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/ihtqqg
title: 20190703_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/ixbmnt
title: 20190404_KHO_REDTEC_gal.txt
DOI: 10.18710/xfwqec/jeqwtz
title: 20190423_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/kh1ncv
title: 20190101_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/khqo6s
title: 20190419_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/lpprga
title: 20190622_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/mrtdjv
title: 20190403_KHO_REDTEC_gal.txt
DOI: 10.18710/xfwqec/ndqzmg
title: 20190529_KHO_REDTEC_gal.txt
DOI: 10.18710/xfwqec/noqcim
title: 20190321_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/oc0dbx
title: 20191007_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/odxwws
title: 20190414_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/povaeh
title: 20190405_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/ppqbfo
title: 20191121_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/qrxwj1
title: 20190930_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/qwfhen
title: 20191007_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/slprw9
title: 20191011_KHO_REDTEC_gal.txt
DOI: 10.18710/xfwqec/t10qg6
title: 20190828_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/tnix4q
title: 20191215_KHO_REDTEC_gal.txt
DOI: 10.18710/xfwqec/ufna4q
title: 20190716_KHO_REDTEC_gal.txt
DOI: 10.18710/xfwqec/vcpdja
title: 20190507_KHO_REDTEC_gal.txt
DOI: 10.18710/xfwqec/vxgfh7
title: 20190928_KHO_REDTEC_gal.txt
DOI: 10.18710/xfwqec/xa5e77
title: 20190426_KHO_REDTEC_gal.txt
DOI: 10.18710/xfwqec/xhtrkj
title: 20190402_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/xjrcdh
title: 20190916_KHO_REDTEC_gal.txt
DOI: 10.18710/xfwqec/ygjgif
title: 20191024_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/ympb2y
title: 20190912_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/yochng
title: 20191120_KHO_REDTEC_gal.txt
DOI: 10.18710/xfwqec/zpz6kk
title: 20191212_KHO_REDTEC_gal.txt
DOI: 10.18710/q0f8pa/ic9ww1
title: PLAG19.stl
DOI: 10.18710/q0f8pa/j7fpji
title: PLAG152.stl
DOI: 10.18710/q0f8pa/jl6zsz
title: PLAG137.stl
DOI: 10.18710/q0f8pa/lmlafn
title: OPX247.stl
DOI: 10.18710/q0f8pa/tqz57o
title: PLAG123.stl
DOI: 10.18710/0wghzm/1idf3n
title: 20190531_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/2ml80l
title: 20190919_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/4gvhr4
title: 20190514_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/8bulu6
title: 20190704_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/8orrc1
title: 20190906_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/8oxxzz
title: 20190328_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/cbd73j
title: 20190219_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/do5x55
title: 20190915_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/euzxdu
title: 20191124_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/jigkvm
title: 20191229_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/jjxvea
title: 20190916_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/lvql5o
title: 20191125_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/mcrffp
title: 20190808_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/rncnuj
title: 20190110_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/sljl7t
title: 20190527_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/ufm7y1
title: 20190622_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/vilmoo
title: 20190522_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/vkpjzz
title: 20190120_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/y313vz
title: 20190611_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/yqtaol
title: 20191020_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/zckcdz
title: 20190213_NYA_REDOBS_glo.txt
DOI: 10.18710/hk395z/4fkpjt
title: 20190415_NYA_REDTEC_gal.txt
DOI: 10.18710/hk395z/safyxg
title: 20190327_NYA_REDTEC_gps.txt
DOI: 10.18710/q0f8pa/hkyfu6
title: OPX235.stl
DOI: 10.18710/q0f8pa/jkisxr
title: OPX158.stl
DOI: 10.18710/q0f8pa/mm0bef
title: OPX102.stl
DOI: 10.18710/q0f8pa/nvysbu
title: PLAG126.stl
DOI: 10.18710/q0f8pa/vtiz1h
title: PLAG144.stl
DOI: 10.18710/q0f8pa/vwbqxe
title: OPX17.stl
DOI: 10.18710/xfwqec/4hvjkp
title: 20190130_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/7u1etc
title: 20190601_KHO_REDTEC_gal.txt
DOI: 10.18710/xfwqec/9fti3o
title: 20190113_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/aooreg
title: 20190808_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/aora4t
title: 20190913_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/bdjfwv
title: 20190122_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/edeu4c
title: 20190427_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/efzgyw
title: 20190331_KHO_REDTEC_gal.txt
DOI: 10.18710/xfwqec/fsoui9
title: 20190404_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/gkzdka
title: 20190610_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/hiswk2
title: 20190930_KHO_REDTEC_gps.txt
DOI: 10.18710/xfwqec/rjzxc7
title: 20190731_KHO_REDTEC_glo.txt
DOI: 10.18710/xfwqec/sgdouu
title: 20190806_KHO_REDTEC_gal.txt
DOI: 10.18710/0wghzm/ln20tf
title: 20190601_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/0asybx
title: 20190429_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/1bmnqn
title: 20190203_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/5qslo4
title: 20191209_NYA_REDOBS_gal.txt
DOI: 10.18710/c8mq7v/lukvhg
title: temperature20141219.txt

description: Temperature (average of 5 beams)
DOI: 10.18710/c8mq7v/qxjixj
title: CrossF2.txt

description: Cross sections across Front 2
DOI: 10.18710/c8mq7v/xm5zlk
title: zonalwind20141219.txt

description: Zonal wind
DOI: 10.34847/nkl.af68k50b
title: Χίος - Σκοποί της Χίου - Αντώνης Τουλιδάκης, Γιώργος Πολιτάκης, Δημήτρης Κοντός, Ανδρέας Ευωδιάς - Συρτός Σαμιώτικος II
DOI: 10.15468/dl.xzxmhw
title: Occurrence Download

description: A dataset containing 2319 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Swietenia macrophylla G.King",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2319 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013657-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-247536
title: Church of God in Christ women in ministry, 2010

description: [description english/roman)] Adrienne M. Israel & Goldie F. Wells. Church of God in Christ women in ministry. Greensborouth, North Carolina: C.H. Mason Jurisdictional Institute, 2010 July 1.
DOI: 10.15468/dl.pda6uw
title: Occurrence Download

description: A dataset containing 370 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Craugastor vocalis (Taylor, 1940)"
 ]
}

 The dataset includes 370 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055979-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sg73gk
title: Occurrence Download

description: A dataset containing 119975 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-93.3176117999999946 44.8977653999999973, -93.3176117999999946 44.9026939800000022, -93.3176117999999946 44.9097787999999980, -93.3176117999999946 44.9153234500000025, -93.3176117999999946 44.9227163199999993, -93.3176117999999946 44.9285690000000031, -93.3083510799999942 44.9285690000000031, -93.3021768100000060 44.9285690000000031, -93.2947676900000005 44.9285690000000031, -93.2898282799999947 44.9285690000000031, -93.2836540100000065 44.9285690000000031, -93.2784058900000019 44.9285690000000031, -93.2734664799999962 44.9285690000000031, -93.2676016000000061 44.9285690000000031, -93.2676016000000061 44.9236404199999981, -93.2676016000000061 44.9196359600000008, -93.2676016000000061 44.9131671999999966, -93.2676016000000061 44.9057743400000007, -93.2676016000000061 44.9017698700000025, -93.2676016000000061 44.8977653999999973, -93.2737751899999950 44.8977653999999973, -93.2790233099999995 44.8977653999999973, -93.2876672900000017 44.8977653999999973, -93.2932241299999987 44.8977653999999973, -93.2975461099999990 44.8977653999999973, -93.3040290900000002 44.8977653999999973, -93.3108207800000002 44.8977653999999973, -93.3176117999999946 44.8977653999999973))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 119975 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093191-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-247533
title: Church of God in Christ women in ministry, 2010

description: [description english/roman)] Adrienne M. Israel & Goldie F. Wells. Church of God in Christ women in ministry. Greensborouth, North Carolina: C.H. Mason Jurisdictional Institute, 2010 July 1.
DOI: 10.15468/dl.dgrsj5
title: Occurrence Download

description: A dataset containing 1013 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Craugastor augusti (Dugès, 1879)"
 ]
}

 The dataset includes 1013 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019946-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tsdzez
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Amastridium sapperi (Werner, 1903)"
 ]
}

 The dataset includes 104 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025243-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2f5v3k
title: Occurrence Download

description: A dataset containing 380 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phyllidia picta Pruvot-Fol, 1957"
 ]
}

 The dataset includes 380 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095575-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-249244
title: Formal portrait of an unidentified mother and daughter, [s.d.]

description: [description english/roman)] Formal portrait photograph of an unidentified mother and daughter, [s.d.].
DOI: 10.25549/pcra-c14-249449
title: Unidentified woman, [s.d.]

description: [description english/roman)] Half-tone print of an unidentified woman, [s.d.]. On the back is Sister Terra Lee Sorrels, District President YWCC. Clipping from an unidentified publication.
DOI: 10.15468/dl.84e6ce
title: Occurrence Download

description: A dataset containing 3037 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lysimachia fortunei Maxim."
 ]
}

 The dataset includes 3037 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016795-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yg4k24
title: Occurrence Download

description: A dataset containing 248608 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true",
 "TaxonKey is Gonepteryx rhamni (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 248608 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004568-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cq23x2
title: Occurrence Download

description: A dataset containing 3879 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Minuartia recurva (All.) Schinz & Thell.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3879 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051641-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.