cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6458297
title: Grain size distribution of Amazon river sediment samples collected over the period 2005-2008; and ADCP water velocity profiles collected on the major tributaries of the Amazon in Bolivia and Peru, 2007-2008

description: This dataset contains two items: - The grain size distribution of river sediment samples collected along the Amazon River and its tributaries during four sampling campaigns performed in June 2005 (lower Amazon, Brazil), March 2006 (lower Amazon, Brazil), May 2007 (Upper Madeira, Bolivia), and April 2008 (Upper Solimões-Amazonas, Peru). [spreadsheet "Grain_size_distribution_dataset_Amazon_2005-2008_Bouchez_data.xlsx"]. - River water velocity profiles derived from Acoustic Doppler Current Profiler (ADCP) measurements performed on the major tributaries of the Amazon in May 2007 (Upper Madeira, Bolivia) and April 2008 (Upper Solimões-Amazonas, Peru) [folder "ADCP_dataset_Amazon_2007-2008_Bouchez_data"]. The dataset description and the relevant references are provided in the text files "Grain_size_distribution_dataset_Amazon_2005-2008_Bouchez_description.docx" and "ADCP_dataset_Amazon_2007-2008_Bouchez_description.docx" . These data were acquired thanks to the support of the French National Service for Observation "HYBAM" ("Hydrogeochemistry of the Amazon Basin"), part of the CNRS National Infrastructure "OZCAR" ("Critical Zone Observatories: Applications and Research").
DOI: 10.34820/fk2/ps4qqk/cqsdmx
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DOI: 10.34820/fk2/ps4qqk/fk8bqm
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DOI: 10.34820/fk2/ps4qqk/y4xykb
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DOI: 10.34820/fk2/ps4qqk/zsnxvg
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DOI: 10.34820/fk2/ps4qqk/dyiemc
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DOI: 10.34820/fk2/ps4qqk/vrsril
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DOI: 10.34820/fk2/ps4qqk/ugmrpz
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DOI: 10.34820/fk2/ps4qqk/nnoiy7
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DOI: 10.34820/fk2/ps4qqk/65orna
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DOI: 10.34820/fk2/ps4qqk/upbizm
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DOI: 10.34820/fk2/ps4qqk/5dqqdt
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DOI: 10.34820/fk2/ps4qqk/udff0c
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DOI: 10.34820/fk2/ps4qqk/if7whe
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DOI: 10.34820/fk2/ps4qqk/hmjhrg
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DOI: 10.34820/fk2/ps4qqk/eyghgk
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DOI: 10.34820/fk2/ps4qqk/m6s4lu
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DOI: 10.34820/fk2/ps4qqk/swofcy
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DOI: 10.34820/fk2/ps4qqk/oelcti
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DOI: 10.34820/fk2/ps4qqk/n45wv8
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DOI: 10.34820/fk2/ps4qqk/jpfirc
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DOI: 10.34820/fk2/ps4qqk/putd4d
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DOI: 10.34820/fk2/ps4qqk/errxlm
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DOI: 10.34820/fk2/ps4qqk/poyzrh
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DOI: 10.34820/fk2/ps4qqk/dzpevu
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DOI: 10.34820/fk2/ps4qqk/iix5it
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DOI: 10.34820/fk2/ps4qqk/5gm1l1
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DOI: 10.34820/fk2/ps4qqk/2hm9wa
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DOI: 10.34820/fk2/ps4qqk/ceqqc4
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DOI: 10.34820/fk2/ps4qqk/fswpk5
title: datauji (33).jpg

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DOI: 10.34820/fk2/ps4qqk/ubwjrq
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DOI: 10.34820/fk2/ps4qqk/w3uouh
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DOI: 10.34820/fk2/ps4qqk/brmbkp
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DOI: 10.34820/fk2/ps4qqk/w1erzj
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DOI: 10.34820/fk2/ps4qqk/iwhi8w
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DOI: 10.34820/fk2/ps4qqk/rascb4
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DOI: 10.34820/fk2/ps4qqk/me48xt
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DOI: 10.34820/fk2/ps4qqk/zq3tw1
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DOI: 10.34820/fk2/ps4qqk/gmy3ur
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DOI: 10.34820/fk2/ps4qqk/xxet9a
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DOI: 10.34820/fk2/ps4qqk/5hzkd8
title: datauji (17).jpg

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DOI: 10.34820/fk2/ps4qqk/ku9pjr
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DOI: 10.34820/fk2/ps4qqk/22h2q7
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DOI: 10.34820/fk2/ps4qqk/izpkjy
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DOI: 10.34820/fk2/ps4qqk/uckgd7
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DOI: 10.34820/fk2/ps4qqk/70fyuv
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DOI: 10.34820/fk2/ps4qqk/uwzgpg
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DOI: 10.34820/fk2/ps4qqk/agox2i
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DOI: 10.34820/fk2/ps4qqk/yejhep
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DOI: 10.34820/fk2/ps4qqk/uow5z2
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DOI: 10.34820/fk2/ps4qqk/freowe
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DOI: 10.34820/fk2/ps4qqk
title: Anemia Conjunctiva Images

description: Anemia Conjunctiva Images
DOI: 10.5281/zenodo.3466965
title: Phenological Center - Plants (Murmansk)

description: Plants Phenology dataset compiled by Komarov Botanical Institute (Russian Federation) by digitizing paper based records of volunteer network of phenological observers (Fenologicheskii Klub) resulting in 1590 records collected for 60 years between 1927 and 1990.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3466968
title: Chronicle of Nature - Phenology of Plants of Visimsky Nature Biosphere Reserve

description: Plants Phenology dataset compiled in the context of Chronicle of Nature program in Visimsky Nature Biosphere Reserve (Russian Federation) consisting of 1349 records collected during 35 years between 1978 and 2012.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3466969
title: Chronicle of Nature - Phenology of Plants of Visimsky Nature Biosphere Reserve

description: Plants Phenology dataset compiled in the context of Chronicle of Nature program in Visimsky Nature Biosphere Reserve (Russian Federation) consisting of 1349 records collected during 35 years between 1978 and 2012.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3466970
title: Chronicle of Nature - Phenology of Birds (2) of Volzhsko-Kamsky National Nature Biosphere Rezerve

description: Birds Phenology dataset compiled in the context of Chronicle of Nature program in Volzhsko-Kamsky National Nature Biosphere Rezerve (Russian Federation) consisting of 1296 records collected during 49 years between 1964 and 2013.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3466971
title: Chronicle of Nature - Phenology of Birds (2) of Volzhsko-Kamsky National Nature Biosphere Rezerve

description: Birds Phenology dataset compiled in the context of Chronicle of Nature program in Volzhsko-Kamsky National Nature Biosphere Rezerve (Russian Federation) consisting of 1296 records collected during 49 years between 1964 and 2013.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3466973
title: Chronicle of Nature - Phenology of Plants of Volzhsko-Kamsky National Nature Biosphere Rezerve

description: Plants Phenology dataset compiled in the context of Chronicle of Nature program in Volzhsko-Kamsky National Nature Biosphere Rezerve (Russian Federation) consisting of 1279 records collected during 49 years between 1964 and 2013.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3466972
title: Chronicle of Nature - Phenology of Plants of Volzhsko-Kamsky National Nature Biosphere Rezerve

description: Plants Phenology dataset compiled in the context of Chronicle of Nature program in Volzhsko-Kamsky National Nature Biosphere Rezerve (Russian Federation) consisting of 1279 records collected during 49 years between 1964 and 2013.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.25345/c5nq2d
title: MassIVE MSV000084394 - 20S proteasome enhancement targets c-MYC manuscript proteomic data set
title: raw proteomic data set for 20S proteasome enhancement targets c-MYC manuscript
DOI: 10.5281/zenodo.3466772
title: Sptiotemporal OTL analysis

description: These data are related to the paper "Wei Peng, Qijie Wang, Yunmeng Cao, F.benjamin Zhan. Spatiotemporal Ocean Tidal Loading in InSAR Measurements Determined by Kinematic PPP Tidal Estimates of a Regional GPS Network". If you have any questions, please email the corresponding author: Qijie Wang (qjwang@csu.edu.cn).
DOI: 10.5281/zenodo.3466773
title: Sptiotemporal OTL analysis

description: These data are related to the paper "Wei Peng, Qijie Wang, Yunmeng Cao, F.benjamin Zhan. Spatiotemporal Ocean Tidal Loading in InSAR Measurements Determined by Kinematic PPP Tidal Estimates of a Regional GPS Network". If you have any questions, please email the corresponding author: Qijie Wang (qjwang@csu.edu.cn).
DOI: 10.17632/zpk56mc7xt.1
title: Data for: Developing a Nitrogen load Apportionment Tool (NAT): theory and application
DOI: 10.18716/nmrshiftdb2/2444
title: NMR data for Hyrtiosulawesine
DOI: 10.18716/nmrshiftdb2/2455
title: NMR data for 3-21-dihydroxyserrat-14-en-24-oic acid; Lycernuic acid A
DOI: 10.18716/nmrshiftdb2/2443
title: NMR data for 5-(2-Hydroxyphenoxymethyl)furfural
DOI: 10.5281/zenodo.3467011
title: An evaluation of compression algorithms applied to moving object trajectories

description: This file contains the dataset, source code and results presented in the paper entitled "An evaluation of compression algorithms applied to moving object trajectories" published in the International Journal of Geographical Information Science in 2019. Abstract: The amount of spatiotemporal data collected by gadgets is rapidly growing, resulting in increasing costs to transfer, process and store it. In an attempt to minimize these costs several algorithms were proposed to reduce the trajectory size. However, to choose the right algorithm depends on a careful analysis of the application scenario. Therefore, this paper evaluates seven general purpose lossy compression algorithms in terms of structural aspects and performance characteristics, regarding four transportation modes: Bike, Bus, Car and Walk. The lossy compression algorithms evaluated are: Douglas-Peucker (DP), Opening-Window (OW), Dead-Reckoning (DR), Top-Down Time-Ratio (TS), Opening-Window Time-Ratio (OS), STTrace (ST) and SQUISH (SQ). Pareto Efficiency analysis pointed out that there is no best algorithm for all assessed characteristics, but rather DP applied less error and kept length better-preserved, OW kept speed better-preserved, ST kept acceleration better-preserved and DR spent less execution time. Another important finding is that algorithms that use metrics that do not keep time information have performed quite well even with characteristics time-dependent like speed and acceleration. Finally, it is possible to see that DR had the most suitable performance in general, being among the three best algorithms in four of the five assessed performance characteristics.
DOI: 10.5281/zenodo.3467012
title: An evaluation of compression algorithms applied to moving object trajectories

description: This file contains the dataset, source code and results presented in the paper entitled "An evaluation of compression algorithms applied to moving object trajectories" published in the International Journal of Geographical Information Science in 2019. Abstract: The amount of spatiotemporal data collected by gadgets is rapidly growing, resulting in increasing costs to transfer, process and store it. In an attempt to minimize these costs several algorithms were proposed to reduce the trajectory size. However, to choose the right algorithm depends on a careful analysis of the application scenario. Therefore, this paper evaluates seven general purpose lossy compression algorithms in terms of structural aspects and performance characteristics, regarding four transportation modes: Bike, Bus, Car and Walk. The lossy compression algorithms evaluated are: Douglas-Peucker (DP), Opening-Window (OW), Dead-Reckoning (DR), Top-Down Time-Ratio (TS), Opening-Window Time-Ratio (OS), STTrace (ST) and SQUISH (SQ). Pareto Efficiency analysis pointed out that there is no best algorithm for all assessed characteristics, but rather DP applied less error and kept length better-preserved, OW kept speed better-preserved, ST kept acceleration better-preserved and DR spent less execution time. Another important finding is that algorithms that use metrics that do not keep time information have performed quite well even with characteristics time-dependent like speed and acceleration. Finally, it is possible to see that DR had the most suitable performance in general, being among the three best algorithms in four of the five assessed performance characteristics.
DOI: 10.5281/zenodo.3467028
title: Comparative profiling of skeletal muscle models reveals heterogeneity of transcriptome and metabolism

description: This dataset is a complement to the following publication: Ahmed M. Abdelmoez, Laura Sardón Puig, Jonathon AB. Smith, Brendan M. Gabriel, Mladen Savikj, Lucile Dollet, Alexander V. Chibalin, Anna Krook, Juleen R. Zierath, and Nicolas J. Pillon. Comparative profiling of skeletal muscle models reveals heterogeneity of transcriptome and metabolism. Am J Physiol Cell Physiol. 2019 Dec 11. METHODS: Publicly available data from myotubes and skeletal muscle tissues were selected from the GEO database. Raw files were downloaded and robust multi array (RMA) normalization was performed in unison for all samples from the same platform. For each human ENSEMBL, the rat and mouse orthologs were found using the R package BioMart and the arrays were merged based on the human ENSEMBL annotation. The database was then aggregated according to the official human gene symbol. When multiple ENSEMBL were found for a single gene symbol, an average was calculated.
description: The authors are supported by grants from the Novo Nordisk Foundation (NNF14OC0011493, NNF17OC0030088 and NNF14OC0009941), Swedish Diabetes Foundation (DIA 2018-357, DIA2018-336), Swedish Research Council (2015-00165, 2018-02389), the Strategic Research Program in Diabetes at Karolinska Institutet (2009-1068), the Stockholm County Council (SLL20170159), the Swedish Research Council for Sport Science (P2018-0097) and the EFSD European Research Programme on New Targets for Type 2 Diabetes supported by an educational research grant from MSD. LD was supported by a Novo Nordisk postdoctoral fellowship run in partnership with Karolinska Institutet. BMG was supported by a fellowship from the Wenner-Gren Foundation (Sweden). NJP and LSP were supported by the Marie Skłodowska-Curie Actions (European Commission, 704978, 675610) and grants from the Sigurd och Elsa Goljes Minne and Lars Hiertas Minne Foundations (Sweden). We acknowledge the Beta Cell in-vivo Imaging/ Extracellular Flux Analysis core facility supported by the Strategic Research Program (SRP) in Diabetes for the usage of the Seahorse flux analyzer.
description: {"references": ["https://github.com/NicoPillon/Muscle_Models_Profiling", "https://nicopillon.com/tools/across-species/", "https://doi.org/10.1152/ajpcell.00540.2019"]}
DOI: 10.5281/zenodo.3467031
title: Phenological Center - Insects (Arkhangelsk)

description: Insects Phenology dataset compiled by Komarov Botanical Institute (Russian Federation) by digitizing paper based records of volunteer network of phenological observers (Fenologicheskii Klub) resulting in 762 records collected for 64 years between 1939 and 2002.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3467032
title: Phenological Center - Insects (Arkhangelsk)

description: Insects Phenology dataset compiled by Komarov Botanical Institute (Russian Federation) by digitizing paper based records of volunteer network of phenological observers (Fenologicheskii Klub) resulting in 762 records collected for 64 years between 1939 and 2002.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3467033
title: Phenological Center - Birds (Laplandskiy)

description: Birds Phenology dataset compiled by Komarov Botanical Institute (Russian Federation) by digitizing paper based records of volunteer network of phenological observers (Fenologicheskii Klub) resulting in 748 records collected for 71 years between 1928 and 2015.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3467034
title: Phenological Center - Birds (Laplandskiy)

description: Birds Phenology dataset compiled by Komarov Botanical Institute (Russian Federation) by digitizing paper based records of volunteer network of phenological observers (Fenologicheskii Klub) resulting in 748 records collected for 71 years between 1928 and 2015.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3467035
title: Phenological Center - Birds (Karelia)

description: Birds Phenology dataset compiled by Komarov Botanical Institute (Russian Federation) by digitizing paper based records of volunteer network of phenological observers (Fenologicheskii Klub) resulting in 676 records collected for 45 years between 1949 and 2005.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3467036
title: Phenological Center - Birds (Karelia)

description: Birds Phenology dataset compiled by Komarov Botanical Institute (Russian Federation) by digitizing paper based records of volunteer network of phenological observers (Fenologicheskii Klub) resulting in 676 records collected for 45 years between 1949 and 2005.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.21227/69wh-ya88
title: EXPACT NHANES dataset

description: The dataset is used in "EXPACT: Explainable complex machine learning prediction of all-cause mortality in the U.S."The National Health and Nutrition Examination Survey (NHANES) from the National Center for Health Statistics (NCHS) \footnote[1]{http://www.cdc.gov/nchs/nhanes.htm} conducts interviews and physical examinations to assess the health and nutrition data for all ages in the United States. The interviews include demographic, socioeconomic, dietary, and health-related questions. The examinations include medical, dental, physiological measurements, and laboratory tests administered by highly trained medical personnel. Since 1999, data was collected and released at 2-year intervals. Each year NHANES examines a nationally representative sample of roughly 5,000 individuals across the Unites States. In this study, we include NHANES data sampled between 1999 and 2014. All-cause mortality is ascertained by a linked NHANES mortality file that provides follow-up mortality data from the date of survey participation through December 31, 2015.Our study includes samples with known mortality status who participated in NHANES 1999-2014 (n = 47,261). We include all demographic, laboratory, examination, and questionnaire features that could be automatically matched across different NHANES cycles.
DOI: 10.5281/zenodo.3467037
title: Phenological Center - Mammals (Arkhangelsk)

description: Mammals Phenology dataset compiled by Komarov Botanical Institute (Russian Federation) by digitizing paper based records of volunteer network of phenological observers (Fenologicheskii Klub) resulting in 266 records collected for 58 years between 1939 and 2002.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3467038
title: Phenological Center - Mammals (Arkhangelsk)

description: Mammals Phenology dataset compiled by Komarov Botanical Institute (Russian Federation) by digitizing paper based records of volunteer network of phenological observers (Fenologicheskii Klub) resulting in 266 records collected for 58 years between 1939 and 2002.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3467039
title: Phenological Center - Mushrooms (Arkhangelsk)

description: Mushrooms Phenology dataset compiled by Komarov Botanical Institute (Russian Federation) by digitizing paper based records of volunteer network of phenological observers (Fenologicheskii Klub) resulting in 213 records collected for 42 years between 1959 and 2002.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3467040
title: Phenological Center - Mushrooms (Arkhangelsk)

description: Mushrooms Phenology dataset compiled by Komarov Botanical Institute (Russian Federation) by digitizing paper based records of volunteer network of phenological observers (Fenologicheskii Klub) resulting in 213 records collected for 42 years between 1959 and 2002.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3467041
title: Phenological Center - Insects (Laplandskiy)

description: Insects Phenology dataset compiled by Komarov Botanical Institute (Russian Federation) by digitizing paper based records of volunteer network of phenological observers (Fenologicheskii Klub) resulting in 207 records collected for 71 years between 1928 and 2015.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.5281/zenodo.3467042
title: Phenological Center - Insects (Laplandskiy)

description: Insects Phenology dataset compiled by Komarov Botanical Institute (Russian Federation) by digitizing paper based records of volunteer network of phenological observers (Fenologicheskii Klub) resulting in 207 records collected for 71 years between 1928 and 2015.
description: This dataset export was created by EarthCape software platform version 18.3.1.17814
DOI: 10.21227/140p-gh22
title: EXPACT NHANES dataset

description: The dataset is used in "EXPACT: Explainable complex machine learning prediction of all-cause mortality in the U.S."The National Health and Nutrition Examination Survey (NHANES) from the National Center for Health Statistics (NCHS) \footnote[1]{http://www.cdc.gov/nchs/nhanes.htm} conducts interviews and physical examinations to assess the health and nutrition data for all ages in the United States. The interviews include demographic, socioeconomic, dietary, and health-related questions. The examinations include medical, dental, physiological measurements, and laboratory tests administered by highly trained medical personnel. Since 1999, data was collected and released at 2-year intervals. Each year NHANES examines a nationally representative sample of roughly 5,000 individuals across the Unites States. In this study, we include NHANES data sampled between 1999 and 2014. All-cause mortality is ascertained by a linked NHANES mortality file that provides follow-up mortality data from the date of survey participation through December 31, 2015.Our study includes samples with known mortality status who participated in NHANES 1999-2014 (n = 47,261). We include all demographic, laboratory, examination, and questionnaire features that could be automatically matched across different NHANES cycles.