cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/dvp9-s124
title: CAIDA UCSD DDoS 2007 Attack Dataset

description: Maximum capture length for interface 0:            65000First timestamp:                     1186262976.484933000Last timestamp:                      1186263276.484931000Unknown encapsulation:                                  0IPv4 bytes:                                    2768247216IPv4 pkts:                                       45954067IPv4 flows:                                       2860519Unique IPv4 addresses:                               7075Unique IPv4 source addresses:                        7065Unique IPv4 destination addresses:                   7075Unique IPv4 TCP source ports:                       65532Unique IPv4 TCP destination ports:                    847Unique IPv4 UDP source ports:                           2Unique IPv4 UDP destination ports:                      3Unique IPv4 ICMP type/codes:                           24IPv6 pkts:                                              0IPv6 bytes:                                             0non-IP protocols:                                       0non-IP pkts:                                            0
DOI: 10.18739/a2707wq3m
title: ENGAYU-TUNDRAOLD: Hydrometeorological, subsurface, and snow data in Western Siberia near Salekhard of Yamal-Nenets Autonomous District, Russia, 2018-2021

description: Three observational sites (ENGAYU, RAI-IZ, LPTEG) were established in 2018 on the eastern slope of the Polar Urals range near the city of Salekhard of Yamal-Nenets Autonomous District, Russia. Each site contained four to five plots in the vicinity of about 1000 meters across a defined vegetation gradient, from the areas with tall and dense vegetation cover (FOREST), to the areas of tall and sparse vegetation (TREES), and to the areas of short vegetation dominated by sedges, mosses and dwarf shrubs (TUNDRA). At each plot, meteorological towers were erected and instrumented with above and below ground measuring equipment. The data was collected continuously from 2018 to 2021 with 30 to 60 min time interval. The data underwent quality assurance and data management protocols and were organized into three datasets: (i) subsurface and above ground observations (precipitation, air temperature, relative humidity, wind speed, four-channel radiation fluxes, net radiation, albedo, soil heat flux), (ii) below ground observations (temperature and soil water content at five depths up to 100 cm; temperature in the upper organic layer), and (iii) snow depth measurements. The data collection was a part of the project sponsored by the Office of Polar Programs (OPP) of the National Science Foundation (NSF). A specific goal of the project was to explore ecohydrological changes associated with tree and shrub encroachment into tundra areas at the scales of in situ field monitoring programs and the regional scale of the Western Siberian Plain.
DOI: 10.18739/a23775w97
title: ENGAYU-TREES1: Hydrometeorological, subsurface, and snow data in Western Siberia near Salekhard of Yamal-Nenets Autonomous District, Russia, 2018-2021

description: Three observational sites (ENGAYU, RAI-IZ, LPTEG) were established in 2018 on the eastern slope of the Polar Urals range near the city of Salekhard of Yamal-Nenets Autonomous District, Russia. Each site contained four to five plots in the vicinity of about 1000 meters across a defined vegetation gradient, from the areas with tall and dense vegetation cover (FOREST), to the areas of tall and sparse vegetation (TREES), and to the areas of short vegetation dominated by sedges, mosses and dwarf shrubs (TUNDRA). At each plot, meteorological towers were erected and instrumented with above and below ground measuring equipment. The data was collected continuously from 2018 to 2021 with 30 to 60 min time interval. The data underwent quality assurance and data management protocols and were organized into three datasets: (i) subsurface and above ground observations (precipitation, air temperature, relative humidity, wind speed, four-channel radiation fluxes, net radiation, albedo, soil heat flux), (ii) below ground observations (temperature and soil water content at five depths up to 100 cm; temperature in the upper organic layer), and (iii) snow depth measurements. The data collection was a part of the project sponsored by the Office of Polar Programs (OPP) of the National Science Foundation (NSF). A specific goal of the project was to explore ecohydrological changes associated with tree and shrub encroachment into tundra areas at the scales of in situ field monitoring programs and the regional scale of the Western Siberian Plain.
DOI: 10.18739/a2zg6g848
title: Narrow-headed vole molar wear data for specimens collected between 1999 and 2019 on the Yamal Peninsula, Russia, published in Ungar et al. (2021)

description: This dataset contains data for a study of mesoscale tooth wear (mesowear, chipping, facets, and other wear attributes) in narrow-headed voles, Microtus gregalis, at three sites along a latitudinal gradient of ecological subzones in the Yamal Peninsula of the Russian Arctic. These sites include Kharp in the forest–tundra ecotone, Erkuta in the low Arctic, and Sabetta at the border between the low and the high Arctic. A total of 117 specimens were included and eight variables were used to characterize mesoscale tooth wear. The purpose of this dataset is to determine whether mesoscale wear of rodent molars tracks habitats in the Arctic.
DOI: 10.5517/ccdc.csd.cc2b4qlt
title: CCDC 2149496: Experimental Crystal Structure Determination

description: Related Article: Jianzhuo Tu, Rawshan A. Ripa, Steven P. Kelley, Michael Harmata|2022|Chem.-Eur.J.|28|e202200370|doi:10.1002/chem.202200370
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b4qmv
title: CCDC 2149497: Experimental Crystal Structure Determination

description: Related Article: Jianzhuo Tu, Rawshan A. Ripa, Steven P. Kelley, Michael Harmata|2022|Chem.-Eur.J.|28|e202200370|doi:10.1002/chem.202200370
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b4qnw
title: CCDC 2149498: Experimental Crystal Structure Determination

description: Related Article: Jianzhuo Tu, Rawshan A. Ripa, Steven P. Kelley, Michael Harmata|2022|Chem.-Eur.J.|28|e202200370|doi:10.1002/chem.202200370
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b4qpx
title: CCDC 2149499: Experimental Crystal Structure Determination

description: Related Article: Jianzhuo Tu, Rawshan A. Ripa, Steven P. Kelley, Michael Harmata|2022|Chem.-Eur.J.|28|e202200370|doi:10.1002/chem.202200370
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b4qqy
title: CCDC 2149500: Experimental Crystal Structure Determination

description: Related Article: Jianzhuo Tu, Rawshan A. Ripa, Steven P. Kelley, Michael Harmata|2022|Chem.-Eur.J.|28|e202200370|doi:10.1002/chem.202200370
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.18739/a2pz51n6r
title: Lemming and vole incisor microwear data for the Yamal peninsula, Belyi Island to Kharp, 2021

description: This dataset provides microwear data (both feature measurements and surface texture attributes) for both Siberian lemmings (Lemmus sibiricus) and narrow-headed voles (Lasiopodomys gregalis) from the Yamal Peninsula, Russia. Fifty-nine individuals were sampled at four sites along a latitudinal gradient from forest-tundra ecotone to high-Arctic tundra. Lemmings are present at the northernmost site, voles at the southernmost site, and both species at the middle two. The purpose of this study is to determine whether incisor microwear can serve as an indicator of variation in behavior and microhabitat use in these rodents and thus serve as a proxy for habitat with an eye toward monitoring impacts of climate change.
DOI: 10.18739/a2tq5rg04
title: ENGAYU-TREES2: Hydrometeorological, subsurface, and snow data in Western Siberia near Salekhard of Yamal-Nenets Autonomous District, Russia, 2018-2021

description: Three observational sites (ENGAYU, RAI-IZ, LPTEG) were established in 2018 on the eastern slope of the Polar Urals range near the city of Salekhard of Yamal-Nenets Autonomous District, Russia. Each site contained four to five plots in the vicinity of about 1000 meters across a defined vegetation gradient, from the areas with tall and dense vegetation cover (FOREST), to the areas of tall and sparse vegetation (TREES), and to the areas of short vegetation dominated by sedges, mosses and dwarf shrubs (TUNDRA). At each plot, meteorological towers were erected and instrumented with above and below ground measuring equipment. The data was collected continuously from 2018 to 2021 with 30 to 60 min time interval. The data underwent quality assurance and data management protocols and were organized into three datasets: (i) subsurface and above ground observations (precipitation, air temperature, relative humidity, wind speed, four-channel radiation fluxes, net radiation, albedo, soil heat flux), (ii) below ground observations (temperature and soil water content at five depths up to 100 cm; temperature in the upper organic layer), and (iii) snow depth measurements. The data collection was a part of the project sponsored by the Office of Polar Programs (OPP) of the National Science Foundation (NSF). A specific goal of the project was to explore ecohydrological changes associated with tree and shrub encroachment into tundra areas at the scales of in situ field monitoring programs and the regional scale of the Western Siberian Plain.
DOI: 10.5281/zenodo.7926640
title: Database for A Review of Collaboration Through Intercultural Competencies in Higher Education

description: <strong>Database used for the study: "A Review of Collaboration Through Intercultural Competencies in Higher Education"</strong>
DOI: 10.5281/zenodo.7926639
title: Database for A Review of Collaboration Through Intercultural Competencies in Higher Education

description: <strong>Database used for the study: "A Review of Collaboration Through Intercultural Competencies in Higher Education"</strong>
DOI: 10.5281/zenodo.7930900
title: Whole rock major, minor, and trace element compositions of basaltic glassy pillow selvages and hyaloclastite from Kverkfjöll, Iceland.

description: Whole rock compositions of glassy pillow selvages and hyaloclastite (tuff) from the Kverkfjöll region, Iceland, were measured as a part of a master's thesis in geology from the University of Iceland. Major and minor element compositions for the glassy selvages were measured via ICP-OES. Trace element compositions for the glassy selvages and tuff were measured via ICP-MS. Please refer to the actual thesis for more information: Valdimarsdóttir, I. K. (2023). <em>Origin, extent, and emplacement conditions of newly exposed pillow lavas in the Kverkfjöll region, Iceland</em>. [Master's thesis, University of Iceland]. Skemman.
description: {"references": ["Valdimarsd\u00f3ttir, I. K. (2023).\u00a0Origin, extent, and emplacement conditions of newly exposed pillow lavas in the Kverkfj\u00f6ll region, Iceland. [Master's thesis, University of Iceland]. Skemman."]}
DOI: 10.5281/zenodo.7930899
title: Whole rock major, minor, and trace element compositions of basaltic glassy pillow selvages and hyaloclastite from Kverkfjöll, Iceland.

description: Whole rock compositions of glassy pillow selvages and hyaloclastite (tuff) from the Kverkfjöll region, Iceland, were measured as a part of a master's thesis in geology from the University of Iceland. Major and minor element compositions for the glassy selvages were measured via ICP-OES. Trace element compositions for the glassy selvages and tuff were measured via ICP-MS. Please refer to the actual thesis for more information: Valdimarsdóttir, I. K. (2023). <em>Origin, extent, and emplacement conditions of newly exposed pillow lavas in the Kverkfjöll region, Iceland</em>. [Master's thesis, University of Iceland]. Skemman.
description: {"references": ["Valdimarsd\u00f3ttir, I. K. (2023).\u00a0Origin, extent, and emplacement conditions of newly exposed pillow lavas in the Kverkfj\u00f6ll region, Iceland. [Master's thesis, University of Iceland]. Skemman."]}
DOI: 10.18739/a2k649v2x
title: ENGAYU-FOREST1: Hydrometeorological, subsurface, and snow data in Western Siberia near Salekhard of Yamal-Nenets Autonomous District, Russia, 2018-2021

description: Three observational sites (ENGAYU, RAI-IZ, LPTEG) were established in 2018 on the eastern slope of the Polar Urals range near the city of Salekhard of Yamal-Nenets Autonomous District, Russia. Each site contained four to five plots in the vicinity of about 1000 meters across a defined vegetation gradient, from the areas with tall and dense vegetation cover (FOREST), to the areas of tall and sparse vegetation (TREES), and to the areas of short vegetation dominated by sedges, mosses and dwarf shrubs (TUNDRA). At each plot, meteorological towers were erected and instrumented with above and below ground measuring equipment. The data was collected continuously from 2018 to 2021 with 30 to 60 min time interval. The data underwent quality assurance and data management protocols and were organized into three datasets: (i) subsurface and above ground observations (precipitation, air temperature, relative humidity, wind speed, four-channel radiation fluxes, net radiation, albedo, soil heat flux), (ii) below ground observations (temperature and soil water content at five depths up to 100 cm; temperature in the upper organic layer), and (iii) snow depth measurements. The data collection was a part of the project sponsored by the Office of Polar Programs (OPP) of the National Science Foundation (NSF). A specific goal of the project was to explore ecohydrological changes associated with tree and shrub encroachment into tundra areas at the scales of in situ field monitoring programs and the regional scale of the Western Siberian Plain.
DOI: 10.5517/ccdc.csd.cc2b8z5s
title: CCDC 2153575: Experimental Crystal Structure Determination

description: Related Article: Yue Jin, Yashi Zou, Yanhua Hu, Yunxi Han, Zhenfeng Zhang, Wanbin Zhang|2022|Chem.-Eur.J.|28|e202201517|doi:10.1002/chem.202201517
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b9s9r
title: CCDC 2154354: Experimental Crystal Structure Determination

description: Related Article: Xian-Yan Shen, Man Li, Tai-Ping Zhou, Ji-Rong Huang|2022|Angew.Chem.,Int.Ed.|61|e202203908|doi:10.1002/anie.202203908
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bc787
title: CCDC 2155748: Experimental Crystal Structure Determination

description: Related Article: Saroj Kumar Rout, Agonist Kastrati, Harish Jangra, Kuno Schwärzer, Alisa S. Sunagatullina, Maximilien Garny, Fabio Lima, Cara E. Brocklehurst, Konstantin Karaghiosoff, Hendrik Zipse, Paul Knochel|2022|Chem.-Eur.J.|28|e202200733|doi:10.1002/chem.202200733
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bc798
title: CCDC 2155749: Experimental Crystal Structure Determination

description: Related Article: Saroj Kumar Rout, Agonist Kastrati, Harish Jangra, Kuno Schwärzer, Alisa S. Sunagatullina, Maximilien Garny, Fabio Lima, Cara E. Brocklehurst, Konstantin Karaghiosoff, Hendrik Zipse, Paul Knochel|2022|Chem.-Eur.J.|28|e202200733|doi:10.1002/chem.202200733
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bc7b9
title: CCDC 2155750: Experimental Crystal Structure Determination

description: Related Article: Saroj Kumar Rout, Agonist Kastrati, Harish Jangra, Kuno Schwärzer, Alisa S. Sunagatullina, Maximilien Garny, Fabio Lima, Cara E. Brocklehurst, Konstantin Karaghiosoff, Hendrik Zipse, Paul Knochel|2022|Chem.-Eur.J.|28|e202200733|doi:10.1002/chem.202200733
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bc7cb
title: CCDC 2155751: Experimental Crystal Structure Determination

description: Related Article: Saroj Kumar Rout, Agonist Kastrati, Harish Jangra, Kuno Schwärzer, Alisa S. Sunagatullina, Maximilien Garny, Fabio Lima, Cara E. Brocklehurst, Konstantin Karaghiosoff, Hendrik Zipse, Paul Knochel|2022|Chem.-Eur.J.|28|e202200733|doi:10.1002/chem.202200733
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bc7dc
title: CCDC 2155752: Experimental Crystal Structure Determination

description: Related Article: Saroj Kumar Rout, Agonist Kastrati, Harish Jangra, Kuno Schwärzer, Alisa S. Sunagatullina, Maximilien Garny, Fabio Lima, Cara E. Brocklehurst, Konstantin Karaghiosoff, Hendrik Zipse, Paul Knochel|2022|Chem.-Eur.J.|28|e202200733|doi:10.1002/chem.202200733
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.22806536.v1
title: GenAdI: Towards automatic indexing of Russian-Polish church records

description: Dataset comprised of church book records aimed at End-To-End Information Extraction using Connected-Offline Handwriting Recognition. <br> This dataset is difficult: given just an image with (usually) several (birth, marriage, death) records on it, recognize the Russian-language text (some items also have Polish language equivalents) and return appropriate Polish language data points (or ISO 8601 dates and periods). This requires not only understanding of underlying Russian text, but also proper normalization and Natural Language Generation. Given the fact that there are up to 6 records per image, it is important to return data regarding specific record.
DOI: 10.18739/a2fj29f20
title: RAIIZ-TREES1: Hydrometeorological, subsurface, and snow data in Western Siberia near Salekhard of Yamal-Nenets Autonomous District, Russia, 2018-2021

description: Three observational sites (ENGAYU, RAI-IZ, LPTEG) were established in 2018 on the eastern slope of the Polar Urals range near the city of Salekhard of Yamal-Nenets Autonomous District, Russia. Each site contained four to five plots in the vicinity of about 1000 meters across a defined vegetation gradient, from the areas with tall and dense vegetation cover (FOREST), to the areas of tall and sparse vegetation (TREES), and to the areas of short vegetation dominated by sedges, mosses and dwarf shrubs (TUNDRA). At each plot, meteorological towers were erected and instrumented with above and below ground measuring equipment. The data was collected continuously from 2018 to 2021 with 30 to 60 min time interval. The data underwent quality assurance and data management protocols and were organized into three datasets: (i) subsurface and above ground observations (precipitation, air temperature, relative humidity, wind speed, four-channel radiation fluxes, net radiation, albedo, soil heat flux), (ii) below ground observations (temperature and soil water content at five depths up to 100 cm; temperature in the upper organic layer), and (iii) snow depth measurements. The data collection was a part of the project sponsored by the Office of Polar Programs (OPP) of the National Science Foundation (NSF). A specific goal of the project was to explore ecohydrological changes associated with tree and shrub encroachment into tundra areas at the scales of in situ field monitoring programs and the regional scale of the Western Siberian Plain.