cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a2610vt1z
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, (R20) Malchilovskaya Channel, Kolyma, Russia. 1996-2020.

description: The Circumpolar Active Layer Monitoring (CALM) program represents the only coordinated program providing collection, standardization, open access, and dissemination of active-layer data world-wide. Widespread, systematic changes in the thickness of the active layer could have profound effects on the flux of greenhouse gases, on the human infrastructure in cold regions, and on landscape and hydrologic processes. It is therefore critical that observational and analytical procedures continue over decadal periods to assess trends and detect cumulative, long-term changes. This dataset contains active-layer observations conducted by the CALM program since the 1990s, supported by a series of National Science Foundation (NSF) awards. CALM program is an integral part of the Global Terrestrial Network for Permafrost. CALM 2020 data are significantly reduced due to pandemic-related travel restrictions. Available 2020 data are limited in terms of extent, and observations were not as controlled as previous years in terms of measurement timing or method, and therefore should be treated with caution.
DOI: 10.18739/a29p2w72g
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, (R19) Lake Glukhoe, Kolyma, Russia. 1996-2020.

description: The Circumpolar Active Layer Monitoring (CALM) program represents the only coordinated program providing collection, standardization, open access, and dissemination of active-layer data world-wide. Widespread, systematic changes in the thickness of the active layer could have profound effects on the flux of greenhouse gases, on the human infrastructure in cold regions, and on landscape and hydrologic processes. It is therefore critical that observational and analytical procedures continue over decadal periods to assess trends and detect cumulative, long-term changes. This dataset contains active-layer observations conducted by the CALM program since the 1990s, supported by a series of National Science Foundation (NSF) awards. CALM program is an integral part of the Global Terrestrial Network for Permafrost. CALM 2020 data are significantly reduced due to pandemic-related travel restrictions. Available 2020 data are limited in terms of extent, and observations were not as controlled as previous years in terms of measurement timing or method, and therefore should be treated with caution.
DOI: 10.18739/a2tq5rf8j
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, (R18A) Mount Rodinka; Kolyma (10 meter (m) grid), Russia. 2003-2020.

description: The Circumpolar Active Layer Monitoring (CALM) program represents the only coordinated program providing collection, standardization, open access, and dissemination of active-layer data world-wide. Widespread, systematic changes in the thickness of the active layer could have profound effects on the flux of greenhouse gases, on the human infrastructure in cold regions, and on landscape and hydrologic processes. It is therefore critical that observational and analytical procedures continue over decadal periods to assess trends and detect cumulative, long-term changes. This dataset contains active-layer observations conducted by the CALM program since the 1990s, supported by a series of National Science Foundation (NSF) awards. CALM program is an integral part of the Global Terrestrial Network for Permafrost. CALM 2020 data are significantly reduced due to pandemic-related travel restrictions. Available 2020 data are limited in terms of extent, and observations were not as controlled as previous years in terms of measurement timing or method, and therefore should be treated with caution.
DOI: 10.18739/a2zg6g829
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, (R18) Mount Rodinka, Kolyma, Russia. 1998-2020.

description: The Circumpolar Active Layer Monitoring (CALM) program represents the only coordinated program providing collection, standardization, open access, and dissemination of active-layer data world-wide. Widespread, systematic changes in the thickness of the active layer could have profound effects on the flux of greenhouse gases, on the human infrastructure in cold regions, and on landscape and hydrologic processes. It is therefore critical that observational and analytical procedures continue over decadal periods to assess trends and detect cumulative, long-term changes. This dataset contains active-layer observations conducted by the CALM program since the 1990s, supported by a series of National Science Foundation (NSF) awards. CALM program is an integral part of the Global Terrestrial Network for Permafrost. CALM 2020 data are significantly reduced due to pandemic-related travel restrictions. Available 2020 data are limited in terms of extent, and observations were not as controlled as previous years in terms of measurement timing or method, and therefore should be treated with caution.
DOI: 10.18739/a26w96998
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, (R16) Segodnya Pingo, Kolyma, Russia. 1996-2020.

description: The Circumpolar Active Layer Monitoring (CALM) program represents the only coordinated program providing collection, standardization, open access, and dissemination of active-layer data world-wide. Widespread, systematic changes in the thickness of the active layer could have profound effects on the flux of greenhouse gases, on the human infrastructure in cold regions, and on landscape and hydrologic processes. It is therefore critical that observational and analytical procedures continue over decadal periods to assess trends and detect cumulative, long-term changes. This dataset contains active-layer observations conducted by the CALM program since the 1990s, supported by a series of National Science Foundation (NSF) awards. CALM program is an integral part of the Global Terrestrial Network for Permafrost. CALM 2020 data are significantly reduced due to pandemic-related travel restrictions. Available 2020 data are limited in terms of extent, and observations were not as controlled as previous years in terms of measurement timing or method, and therefore should be treated with caution.
DOI: 10.18739/a23775w6s
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, (R17) Akhmelo channel, Kolyma, Russia. 1996-2020.

description: The Circumpolar Active Layer Monitoring (CALM) program represents the only coordinated program providing collection, standardization, open access, and dissemination of active-layer data world-wide. Widespread, systematic changes in the thickness of the active layer could have profound effects on the flux of greenhouse gases, on the human infrastructure in cold regions, and on landscape and hydrologic processes. It is therefore critical that observational and analytical procedures continue over decadal periods to assess trends and detect cumulative, long-term changes. This dataset contains active-layer observations conducted by the CALM program since the 1990s, supported by a series of National Science Foundation (NSF) awards. CALM program is an integral part of the Global Terrestrial Network for Permafrost. CALM 2020 data are significantly reduced due to pandemic-related travel restrictions. Available 2020 data are limited in terms of extent, and observations were not as controlled as previous years in terms of measurement timing or method, and therefore should be treated with caution.
DOI: 10.18739/a2bn9x425
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, (R15B) Konkovaya River, Kolyma, Russia. 1999-2020.

description: The Circumpolar Active Layer Monitoring (CALM) program represents the only coordinated program providing collection, standardization, open access, and dissemination of active-layer data world-wide. Widespread, systematic changes in the thickness of the active layer could have profound effects on the flux of greenhouse gases, on the human infrastructure in cold regions, and on landscape and hydrologic processes. It is therefore critical that observational and analytical procedures continue over decadal periods to assess trends and detect cumulative, long-term changes. This dataset contains active-layer observations conducted by the CALM program since the 1990s, supported by a series of National Science Foundation (NSF) awards. CALM program is an integral part of the Global Terrestrial Network for Permafrost. CALM 2020 data are significantly reduced due to pandemic-related travel restrictions. Available 2020 data are limited in terms of extent, and observations were not as controlled as previous years in terms of measurement timing or method, and therefore should be treated with caution.
DOI: 10.18739/a2m61br1p
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, (R14) Chukochya River, Kolyma, Russia. 1996-2020.

description: The Circumpolar Active Layer Monitoring (CALM) program represents the only coordinated program providing collection, standardization, open access, and dissemination of active-layer data world-wide. Widespread, systematic changes in the thickness of the active layer could have profound effects on the flux of greenhouse gases, on the human infrastructure in cold regions, and on landscape and hydrologic processes. It is therefore critical that observational and analytical procedures continue over decadal periods to assess trends and detect cumulative, long-term changes. This dataset contains active-layer observations conducted by the CALM program since the 1990s, supported by a series of National Science Foundation (NSF) awards. CALM program is an integral part of the Global Terrestrial Network for Permafrost. CALM 2020 data are significantly reduced due to pandemic-related travel restrictions. Available 2020 data are limited in terms of extent, and observations were not as controlled as previous years in terms of measurement timing or method, and therefore should be treated with caution.
DOI: 10.18739/a2gf0mx6f
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, (R15A) Konkovaya River, Kolyma, Russia. 1996-2020.

description: The Circumpolar Active Layer Monitoring (CALM) program represents the only coordinated program providing collection, standardization, open access, and dissemination of active-layer data world-wide. Widespread, systematic changes in the thickness of the active layer could have profound effects on the flux of greenhouse gases, on the human infrastructure in cold regions, and on landscape and hydrologic processes. It is therefore critical that observational and analytical procedures continue over decadal periods to assess trends and detect cumulative, long-term changes. This dataset contains active-layer observations conducted by the CALM program since the 1990s, supported by a series of National Science Foundation (NSF) awards. CALM program is an integral part of the Global Terrestrial Network for Permafrost. CALM 2020 data are significantly reduced due to pandemic-related travel restrictions. Available 2020 data are limited in terms of extent, and observations were not as controlled as previous years in terms of measurement timing or method, and therefore should be treated with caution.
DOI: 10.18739/a2vq2sb98
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, (13A) Cape Chukochii; edoma,Kolyma, Russia. 1999-2020.

description: The Circumpolar Active Layer Monitoring (CALM) program represents the only coordinated program providing collection, standardization, open access, and dissemination of active-layer data world-wide. Widespread, systematic changes in the thickness of the active layer could have profound effects on the flux of greenhouse gases, on the human infrastructure in cold regions, and on landscape and hydrologic processes. It is therefore critical that observational and analytical procedures continue over decadal periods to assess trends and detect cumulative, long-term changes. This dataset contains active-layer observations conducted by the CALM program since the 1990s, supported by a series of National Science Foundation (NSF) awards. CALM program is an integral part of the Global Terrestrial Network for Permafrost. CALM 2020 data are significantly reduced due to pandemic-related travel restrictions. Available 2020 data are limited in terms of extent, and observations were not as controlled as previous years in terms of measurement timing or method, and therefore should be treated with caution.
DOI: 10.18739/a2qz22j5h
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, (13B) Cape Chukochi, alas, Kolyma, Russia. 2000-2020.

description: The Circumpolar Active Layer Monitoring (CALM) program represents the only coordinated program providing collection, standardization, open access, and dissemination of active-layer data world-wide. Widespread, systematic changes in the thickness of the active layer could have profound effects on the flux of greenhouse gases, on the human infrastructure in cold regions, and on landscape and hydrologic processes. It is therefore critical that observational and analytical procedures continue over decadal periods to assess trends and detect cumulative, long-term changes. This dataset contains active-layer observations conducted by the CALM program since the 1990s, supported by a series of National Science Foundation (NSF) awards. CALM program is an integral part of the Global Terrestrial Network for Permafrost. CALM 2020 data are significantly reduced due to pandemic-related travel restrictions. Available 2020 data are limited in terms of extent, and observations were not as controlled as previous years in terms of measurement timing or method, and therefore should be treated with caution.
DOI: 10.18739/a21c1th09
title: Holocene lake-based Arctic glacier and ice cap records

description: This data is supplement to "Arctic glaciers and ice caps through the Holocene: A circumpolar synthesis of lake–based reconstructions" and summarizes 66 lake–based records of Holocene glacier and ice cap variations from seven Arctic regions: Alaska (n=6), Baffin Island, Canada (n=5), glaciers and ice caps (GICs) peripheral to the Greenland Ice Sheet (n=22), Iceland (n=5), the Scandinavian peninsula (n=20), Svalbard (n=7), and the Russian high Arctic (n=2) (plus one non-lake record). For each included lake record, glacier and ice cap status is defined in 100–year intervals from 12–0 kiloannum (ka), where 0 = glacially influenced, and 1 = a smaller than present or absent glacier or ice cap. Arctic–wide, the percent of glaciers and ice caps smaller than present or absent is summarized in 100–year intervals from 12–0 ka. Blank cells indicate time periods with no data available, or when the status of the glacier or ice cap was unknown or ambiguous. We assign each record a unique site identifier. See "Site Information" for additional metadata on each record including: region, site # in regional compilations, original reference(s), lake name, glacier or ice cap name, latitude, and longitude.
DOI: 10.5281/zenodo.8298921
title: PHD Thesis: Graph Set Data Mining - Clustering and Pattern Mining in the Context of Cheminformatics - Evaluation Data

description: Evaluation data for the PHD thesis: Graph Set Data Mining<br> Clustering and Pattern Mining in the Context of Cheminformatics zur Erlangung des Grades eines<br> Doktors der Naturwissenschaften<br> der Technischen Universität Dortmund<br> an der Fakultät für Informatik von TIll Schäfer
DOI: 10.5281/zenodo.8298920
title: PHD Thesis: Graph Set Data Mining - Clustering and Pattern Mining in the Context of Cheminformatics - Evaluation Data

description: Evaluation data for the PHD thesis: Graph Set Data Mining<br> Clustering and Pattern Mining in the Context of Cheminformatics zur Erlangung des Grades eines<br> Doktors der Naturwissenschaften<br> der Technischen Universität Dortmund<br> an der Fakultät für Informatik von TIll Schäfer
DOI: 10.18739/a2fn10t3b
title: Model output from particle tracking simulations to assess formation of benthic hotspots on the northern Bering and Chukchi Shelf, 1995-2014

description: This dataset contains particle tracking model results used to analyze the formation of benthic hotspots on the northern Bering and Chukchi continental shelf. The object of our study is to better understand the interplay between biological production and physical transport processes on supplying biogenic materials to various hotspot subdomains in the northern Bering and Chukchi seas. The tracking results provide key information for determining the advective spatio-temporal scales and source regions of biogenic particles that ultimately settle to the benthic hotspots. A detailed description of the modeling approach and data analyses could be found in a journal publication by Feng et al., 2021 (Feng, Z., Ji, R., Ashjian, C., Zhang, J., Campbell, R., and Grebmeier, J. M. 2021. Benthic hotspots on the northern Bering and Chukchi continental shelf: Spatial variability in production regimes and environmental drivers. Progress in Oceanography, 191: 102497).
DOI: 10.18739/a2833n04m
title: Melt Pond Maps around the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Drifting Station derived from High Resolution Optical Imagery, 2020

description: This dataset contains surface maps of sea ice melt pond locations around the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) drifting station. High resolution satellite imagery (0.5 meter (m) per pixel) was acquired by the Planet SkySat satellite platform targeting the drifting track of the MOSAiC central observatory. These satellite images were processed with the OSSP (Open Source Sea ice Processing) Algorithm to categorize the surface observed in each image into four categories: 1) Snow and thick ice, 2) thin or slushy ice, 3) melt ponds and submerged ice, and 4) open water. Each image of surface classifications is a geotiff that contains the georeferencing data of the source satellite image.
DOI: 10.18739/a2cv4bs7j
title: Beryllium-10 measurements from Jakobshavn Isbræ, 2018

description: Erosion beneath glaciers and ice sheets is a fundamental Earth-surface process dictating landscape development, which in turn influences ice-flow dynamics and the climate sensitivity of ice masses. The rate at which subglacial erosion takes place, however, is notoriously difficult to observe because it occurs beneath modern glaciers in a largely inaccessible environment. The data presented here are 31 Beryllium-10 (Be-10) measurements from bedrock surfaces near Jakobshavn Isbræ, western Greenland, collected in August 2018, that we use to calculate exposure ages and subglacial erosion rates for the period of historical ice cover. Also included are 17 Be-10 measurements in a 4-meter (m)-long bedrock core, taken within the same landscape, that we use to constrain subglacial erosion rates on centennial and orbital timescales. Here we provide all input data needed to independently calculate Be-10 ages or erosion rates, including the associated lab-blank dataset.
DOI: 10.18739/a2bc3sz27
title: Meteorological data from two on-ice weather stations at 780 and 950 m asl elevations in the ablation area of Sermeq Avannarleq, West Greenland from 2017-2018.

description: We installed two weather stations during the 2017 melt season to constrain melt rates at two different elevations in the ablation area of Sermeq Avannarleq, on the western Greenland Ice Sheet. LOWC Weather station was installed at our Low Camp field site where the elevation is approximately 780 meters above sea level (m.a.s.l) and the ice is ~500 meters (m) thick. HIGH Weather station was installed at our High Camp field site where the elevation is approximately 950 m.a.s.l. and the ice is ~750m thick. Each station was equipped with a HOBO/ONSET U30 data logger set to record observations continuously every 15 minutes. Each station was mounted to 1.25-inch aluminum conduit, drilled and frozen into the ice. Instruments were mounted approximately two meters above the ice surface upon initial installation in 2017. During the 2017 melt season HIGH weather station experienced surface lowering of 50.2 centimeters (cm) from 2017-07-30 through 2017-08-15. Heavy snow fall beginning 16 Aug. 2020 effectively ended the 2017 melt season. The aluminum conduit mounting LOWC weather station snapped above the coupler over the 2017-2018 winter. LOWC weather station was re-installed in July 2018, while HIGH weather station was lowered, each station maintaining an approximate two meter instrument height above the ice surface.
DOI: 10.34808/bpwn-gw41
title: Multi-parameter dataset on limnological variables and modern sedimentation at Lake Żabińskie, northeast Poland, 2012-2021
DOI: 10.25345/c5j960m3c
title: MassIVE MSV000092781 - Tang_PAN2_3_BirA*_MassIVE_P130
title: This dataset consists of 18 raw MS files and associated peak lists and results files, acquired on AB Sciex TripleTOF 6600 mass spectrometer operated in Data Dependent Acquisition mode for PAN2 and PAN3 BirA*-tagged baits in conjunction with relevant controls. All samples are from BioID experiments, performed in HEK293 Flp-In T-REx cells. The files are associated with a manuscript submitted for publication by Terence T.L. Tang et al. The manuscript investigates how the PAN2-PAN3 deadenylation complex, guided by specific RNA-binding proteins, contributes to mRNA degradation, highlighting a common peptide motif that facilitates interaction with both PAN2-PAN3 and CCR4-NOT via adaptor proteins, suggesting a mechanism for precise post-transcriptional gene expression control through multiple pathways.