cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13061684
title: Climate change induced deprivation of dietary essential fatty acids can reduce growth and mitochondrial efficiency of wild juvenile salmon

description: 1. Omega-3 long-chain polyunsaturated fatty acids (n-3 LC-PUFA) are essential micronutrients for optimal functioning of cellular metabolism and for somatic growth of all vertebrates including fishes. In addition, n-3 LC-PUFA could also play a key role in response of fishes and other ectothermic vertebrates to changing temperatures.2. An important, but largely overlooked, consequence of climate change is the reduced availability of dietary n-3 LC-PUFA in aquatic food webs. Changes in availability of dietary n-3 LC-PUFA have recently been proposed as a major driver of novel adaptations and diversification of consumers. Yet, there is only limited knowledge about how n-3 LC-PUFA depletion in aquatic food-webs will affect the performance of wild fishes.3. Here we combine biochemistry and physiology at the cellular level with physiological and cognitive processes at the whole-animal level to test how ecologically relevant deprivation of n-3 LC-PUFA affects performance of wild juvenile Atlantic salmon (<i>Salmo salar</i>).4. We found that juvenile salmon had a limited capacity to maintain the fatty acid profile of both muscle and brain under a n-3 LC-PUFA-deficient diet. Despite these findings, brain tissues showed remarkable functional stability in mitochondrial metabolism, and we found no effect of diet on learning ability. However, we found that mitochondrial efficiency in muscles and the somatic growth were reduced under a n-3 LC-PUFA-deficient diet. Importantly, we discovered that the somatic growth of juvenile salmon within both treatments decreased with increasing rate of DHA synthesis and retention. 5. Since DHA is essential for functioning of cellular metabolism, which together with body size are traits closely related to fitness of wild fishes, we suggest that the trade-off between growth rate and accumulation of DHA could play a critical role in resilience of juvenile salmon to the ongoing rapid environmental change.
DOI: 10.6084/m9.figshare.13061684.v2
title: Climate change induced deprivation of dietary essential fatty acids can reduce growth and mitochondrial efficiency of wild juvenile salmon

description: 1. Omega-3 long-chain polyunsaturated fatty acids (n-3 LC-PUFA) are essential micronutrients for optimal functioning of cellular metabolism and for somatic growth of all vertebrates including fishes. In addition, n-3 LC-PUFA could also play a key role in response of fishes and other ectothermic vertebrates to changing temperatures.2. An important, but largely overlooked, consequence of climate change is the reduced availability of dietary n-3 LC-PUFA in aquatic food webs. Changes in availability of dietary n-3 LC-PUFA have recently been proposed as a major driver of novel adaptations and diversification of consumers. Yet, there is only limited knowledge about how n-3 LC-PUFA depletion in aquatic food-webs will affect the performance of wild fishes.3. Here we combine biochemistry and physiology at the cellular level with physiological and cognitive processes at the whole-animal level to test how ecologically relevant deprivation of n-3 LC-PUFA affects performance of wild juvenile Atlantic salmon (<i>Salmo salar</i>).4. We found that juvenile salmon had a limited capacity to maintain the fatty acid profile of both muscle and brain under a n-3 LC-PUFA-deficient diet. Despite these findings, brain tissues showed remarkable functional stability in mitochondrial metabolism, and we found no effect of diet on learning ability. However, we found that mitochondrial efficiency in muscles and the somatic growth were reduced under a n-3 LC-PUFA-deficient diet. Importantly, we discovered that the somatic growth of juvenile salmon within both treatments decreased with increasing rate of DHA synthesis and retention. 5. Since DHA is essential for functioning of cellular metabolism, which together with body size are traits closely related to fitness of wild fishes, we suggest that the trade-off between growth rate and accumulation of DHA could play a critical role in resilience of juvenile salmon to the ongoing rapid environmental change.
DOI: 10.6084/m9.figshare.13061684.v1
title: ate change induced deprivation of dietary essential fatty acids can reduce growth and mitochondrial efficiency of wild juvenile salmon

description: 1. Omega-3 long-chain polyunsaturated fatty acids (n-3 LC-PUFA) are essential micronutrients for optimal functioning of cellular metabolism and for somatic growth of all vertebrates including fishes. In addition, n-3 LC-PUFA could also play a key role in response of fishes and other ectothermic vertebrates to changing temperatures.2. An important, but largely overlooked, consequence of climate change is the reduced availability of dietary n-3 LC-PUFA in aquatic food webs. Changes in availability of dietary n-3 LC-PUFA have recently been proposed as a major driver of novel adaptations and diversification of consumers. Yet, there is only limited knowledge about how n-3 LC-PUFA depletion in aquatic food-webs will affect the performance of wild fishes.3. Here we combine biochemistry and physiology at the cellular level with physiological and cognitive processes at the whole-animal level to test how ecologically relevant deprivation of n-3 LC-PUFA affects performance of wild juvenile Atlantic salmon (<i>Salmo salar</i>).4. We found that juvenile salmon had a limited capacity to maintain the fatty acid profile of both muscle and brain under a n-3 LC-PUFA-deficient diet. Despite these findings, brain tissues showed remarkable functional stability in mitochondrial metabolism, and we found no effect of diet on learning ability. However, we found that mitochondrial efficiency in muscles and the somatic growth were reduced under a n-3 LC-PUFA-deficient diet. Importantly, we discovered that the somatic growth of juvenile salmon within both treatments decreased with increasing rate of DHA synthesis and retention. 5. Since DHA is essential for functioning of cellular metabolism, which together with body size are traits closely related to fitness of wild fishes, we suggest that the trade-off between growth rate and accumulation of DHA could play a critical role in resilience of juvenile salmon to the ongoing rapid environmental change.
DOI: 10.26180/14753964.v1
title: Hydro_traces

description: Hydro inflows for NEM
DOI: 10.26180/14753964
title: Hydro_traces

description: Hydro inflows for NEM
DOI: 10.26180/14753952
title: Demand_traces

description: Demand traces for NEM from 2019-2050 for different scenarios.
DOI: 10.26180/14753952.v1
title: Demand_traces

description: Demand traces for NEM from 2019-2050 for different scenarios.
DOI: 10.26180/14747931
title: Wind_solar_traces

description: Renewable generation profiles for wind and solar generators in NEM.
DOI: 10.26180/14747931.v1
title: Wind_solar_traces

description: Renewable generation profiles for wind and solar generators in NEM.
DOI: 10.25345/c50v51
title: MassIVE MSV000087591 - 20210609-Q1095-GNPS-Cyclic peptides
title: To minimize the burden of making datasets for GNPS analysis and to enable as much flexibility in what additional information the user wants to make available, very few metadata fields are absolutely required, although the user is encouraged to provide as much metadata as possible. It should be noted that the datasets that have the most information associated with them are also the datasets that are the most visible to the community.
DOI: 10.34808/9y96-jz21
title: Change of exhaust gases concentration for LSCNT modified SOFC fueled by biogas mixture at 750 C

description: The dataset changes of exhaust gases concentrations (CH4,CO,CO2,H2) over working time for SOFC with La0.27Sr0.54Ce0.09Ni0.1Ti0.9O3-s layer. Concentrations were calculated based on the FTIR measurements and calibration files presented in coupled dataset.
DOI: 10.34808/fxzf-yx17
title: Electrical power measurement of LSCNT modified SOFC fueled by biogas mixture at 750 C

description: The dataset contains the electrical measurements of IV curves for SOFC with La0.27Sr0.54Ce0.09Ni0.1Ti0.9O3-s layer working under biogas and H2 feeding stream. The SOFC was reduced at 900C and conditioned for 12 h under H2 prior the measurements. The measurements were performed using Gamry potentiostat/galvanostat
DOI: 10.34808/p1a4-h024
title: Electrical power measurement of reference SOFC fueled by biogas mixture at 750 C

description: The dataset contains the electrical measurements of IV curves for SOFC without La0.27Sr0.54Ce0.09Ni0.1Ti0.9O3-s layer working under biogas and H2 feeding stream. The SOFC was reduced at 900C and conditioned for 12 h under H2 prior the measurements. The measurements were performed using Gamry potentiostat/galvanostat
DOI: 10.34808/zpc6-7s78
title: FTIR spectra of reference SOFC fueled by H2 and 20ppm H2S/biogas mixture at 750 C - cyclic measurements (12h per cycle)

description: The dataset contains the FTIR spectra collected during the cyclic measurements of H2S poisoning in DIR-SOFC without LSCNT layer. The H2S poisoning and H2 regenrating cycles were 12 h each. The spectra were collected every 10 min.
DOI: 10.34808/zv3j-0v67
title: FTIR spectra of SOFC with LSCNT layer fueled by H2 and 20ppm H2S/biogas mixture at 750 C - cyclic measurements (12h per cycle)

description: The dataset contains the FTIR spectra collected during the cyclic measurements of H2S poisoning in DIR-SOFC with LSCNT layer. The H2S poisoning and H2 regenrating cycles were 12 h each. The spectra were collected every 10 min.
DOI: 10.5281/zenodo.4916151
title: Multiple Alternative Promoters and Alternative Splicing Enable Universal Transcription-Based Logic Computation in Mammalian Cells

description: Data underlying the figures in the publication “Multiple Alternative Promoters and Alternative Splicing Enable Universal Transcription-Based Logic Computation in Mammalian Cells”, published in <em>Cell Reports</em>, <strong>2020</strong>, 33, 108437. https://doi.org/10.1016/j.celrep.2020.108437 Table of contents: 1. Table 1; Excel file containing the DNA sequences of modules used to construct genetic logic circuits in this paper, related to Figures 1, 2, 3, 4, 5, 6, and S2–S6. 2. Table 2; Excel file containing the list of primers and siRNAs used in this paper, related to STAR Methods 3. Table 3; Excel file containing the list of sequences of gene fragments, synthetic DNA sequences, and gBlocks used in this paper, related to STAR Methods. 4. Table 4; Excel file containing the list of plasmids with their cloning procedures, related to STAR Methods.
DOI: 10.5281/zenodo.4916150
title: Multiple Alternative Promoters and Alternative Splicing Enable Universal Transcription-Based Logic Computation in Mammalian Cells

description: Data underlying the figures in the publication “Multiple Alternative Promoters and Alternative Splicing Enable Universal Transcription-Based Logic Computation in Mammalian Cells”, published in <em>Cell Reports</em>, <strong>2020</strong>, 33, 108437. https://doi.org/10.1016/j.celrep.2020.108437 Table of contents: 1. Table 1; Excel file containing the DNA sequences of modules used to construct genetic logic circuits in this paper, related to Figures 1, 2, 3, 4, 5, 6, and S2–S6. 2. Table 2; Excel file containing the list of primers and siRNAs used in this paper, related to STAR Methods 3. Table 3; Excel file containing the list of sequences of gene fragments, synthetic DNA sequences, and gBlocks used in this paper, related to STAR Methods. 4. Table 4; Excel file containing the list of plasmids with their cloning procedures, related to STAR Methods.
DOI: 10.34808/mjnt-0e72
title: Electrical performance measurement of reference and SOFC with LSCNT layer fueled by H2 and 20ppm H2S/biogas mixture at 750 C - cyclic measurements (12h per cycle)

description: The dataset contains the electrical IV measurements collected during the cyclic measurements of H2S poisoning in DIR-SOFC with/-out LSCNT layer. The H2S poisoning and H2 regenrating cycles were 12 h each. The spectra were collected every 10 min.
DOI: 10.20350/digitalcsic/225
title: Data set on the joint use of shells and red ochre by humans

description: Human evolution
description: Red ochre
description: Shells
description: Data set on the joint use of shells and red ochre by humans. Reports of the joint use of red ochre and shells by humans are rapidly growing in number, including reports for both modern humans and Nearderthals. Existing records track the reconstructed dispersal of modern humans including findings of the joint use of red ochre and shells in Africa, Eurasia, Australia, and America ranging from paleorecords starting in 250 ka to present. Numbers show, for paleoanthropological evidence, the dates in ka, when reported. When multiple reports were available for a given region the oldest one is shown. See Duarte (2014) for additional details. The database is subject to a Creative Commons Attribution-Noncommercial-ShareAlike International licence 4.0.
description: No
DOI: 10.5281/zenodo.4916126
title: Function Hub Scalability Test Datasets

description: <strong>Function Hub - characterization</strong> Running Benchmarks Use the scripts <code>run_sequential_benchmark.sh</code> and <code>run_load_test_benchmark.sh</code> to orchestrate running the benchmark, this will create a docker container, that will first deploy a cloudstash instance, then run the benchmark, output the results to .csv saved in the <code>output</code> directory, and finally remove the created cloudstash instance. <pre><code>&gt;&gt;&gt; THE SCRIPTS EXPECTS TO BE CALLED FROM THE ROOT OF THE REPOSITORY &lt;&lt;&lt; </code></pre> You may add the following <code>option</code> flags after the required arguments: <code>--local</code> runt the script locally, will bindmount the benchmark code from the local directory to make development easier <code>--tail</code> will automatically follow the generated log file, note that when invoking the option, when you exit tail with Ctrl-c, you will the container process too, so do not use in production! <code>--debug</code> will enable some debug prints <code>--verbose</code> will enable more verbose prints Sequential Uploads Benchmark This benchmark will sequentially upload the specified number of artifacts. You must pass the <code>number of artifacts to be sequentially uploaded</code> as the first argument: <pre><code>bash run_sequential_benchmarks &lt;number of artifacts (int)&gt; [options] </code></pre> Load Test Benchmark This benchmark will run a predefined load test, consisting of listing artifacts, getting (downloading) artifacts and uploading artifacts. You must pass the <code>number of artifacts to already be in the cloudstash instance</code> before the load test is started, these will be uploaded to the deployed cloudstash instance before the load test starts. <pre><code>bash run_load_test_benchmark.sh &lt;number of artifacts (int)&gt; [options]</code></pre>
DOI: 10.5281/zenodo.4916125
title: Function Hub Scalability Test Datasets

description: <strong>Function Hub - characterization</strong> Running Benchmarks Use the scripts <code>run_sequential_benchmark.sh</code> and <code>run_load_test_benchmark.sh</code> to orchestrate running the benchmark, this will create a docker container, that will first deploy a cloudstash instance, then run the benchmark, output the results to .csv saved in the <code>output</code> directory, and finally remove the created cloudstash instance. <pre><code>&gt;&gt;&gt; THE SCRIPTS EXPECTS TO BE CALLED FROM THE ROOT OF THE REPOSITORY &lt;&lt;&lt; </code></pre> You may add the following <code>option</code> flags after the required arguments: <code>--local</code> runt the script locally, will bindmount the benchmark code from the local directory to make development easier <code>--tail</code> will automatically follow the generated log file, note that when invoking the option, when you exit tail with Ctrl-c, you will the container process too, so do not use in production! <code>--debug</code> will enable some debug prints <code>--verbose</code> will enable more verbose prints Sequential Uploads Benchmark This benchmark will sequentially upload the specified number of artifacts. You must pass the <code>number of artifacts to be sequentially uploaded</code> as the first argument: <pre><code>bash run_sequential_benchmarks &lt;number of artifacts (int)&gt; [options] </code></pre> Load Test Benchmark This benchmark will run a predefined load test, consisting of listing artifacts, getting (downloading) artifacts and uploading artifacts. You must pass the <code>number of artifacts to already be in the cloudstash instance</code> before the load test is started, these will be uploaded to the deployed cloudstash instance before the load test starts. <pre><code>bash run_load_test_benchmark.sh &lt;number of artifacts (int)&gt; [options]</code></pre>
DOI: 10.5517/ccdc.csd.cc230g4r
title: CCDC 1936853: Experimental Crystal Structure Determination

description: Related Article: Huai-Yu Bin, Li Cheng, Xiong Wu, Chang-Liang Zhu, Xiao-Hui Yang, Jian-Hua Xie, Qi-Lin Zhou|2021|Chemical Science|12|7793|doi:10.1039/D1SC02044G
DOI: 10.5517/ccdc.csd.cc23jkv2
title: CCDC 1952344: Experimental Crystal Structure Determination

description: Related Article: Philipp Niermeier, Kristina A. M. Maibom, Jan-Hendrik Lamm, Beate Neumann, Hans-Georg Stammler, Norbert W. Mitzel|2021|Chemical Science|12|7943|doi:10.1039/D1SC02065J
DOI: 10.5517/ccdc.csd.cc23jkw3
title: CCDC 1952345: Experimental Crystal Structure Determination

description: Related Article: Philipp Niermeier, Kristina A. M. Maibom, Jan-Hendrik Lamm, Beate Neumann, Hans-Georg Stammler, Norbert W. Mitzel|2021|Chemical Science|12|7943|doi:10.1039/D1SC02065J
DOI: 10.5517/ccdc.csd.cc23jkx4
title: CCDC 1952346: Experimental Crystal Structure Determination

description: Related Article: Philipp Niermeier, Kristina A. M. Maibom, Jan-Hendrik Lamm, Beate Neumann, Hans-Georg Stammler, Norbert W. Mitzel|2021|Chemical Science|12|7943|doi:10.1039/D1SC02065J
DOI: 10.5517/ccdc.csd.cc23jky5
title: CCDC 1952347: Experimental Crystal Structure Determination

description: Related Article: Philipp Niermeier, Kristina A. M. Maibom, Jan-Hendrik Lamm, Beate Neumann, Hans-Georg Stammler, Norbert W. Mitzel|2021|Chemical Science|12|7943|doi:10.1039/D1SC02065J
DOI: 10.5517/ccdc.csd.cc23jkz6
title: CCDC 1952348: Experimental Crystal Structure Determination

description: Related Article: Philipp Niermeier, Kristina A. M. Maibom, Jan-Hendrik Lamm, Beate Neumann, Hans-Georg Stammler, Norbert W. Mitzel|2021|Chemical Science|12|7943|doi:10.1039/D1SC02065J
DOI: 10.5517/ccdc.csd.cc23jl08
title: CCDC 1952349: Experimental Crystal Structure Determination

description: Related Article: Philipp Niermeier, Kristina A. M. Maibom, Jan-Hendrik Lamm, Beate Neumann, Hans-Georg Stammler, Norbert W. Mitzel|2021|Chemical Science|12|7943|doi:10.1039/D1SC02065J
DOI: 10.5517/ccdc.csd.cc23jl19
title: CCDC 1952350: Experimental Crystal Structure Determination

description: Related Article: Philipp Niermeier, Kristina A. M. Maibom, Jan-Hendrik Lamm, Beate Neumann, Hans-Georg Stammler, Norbert W. Mitzel|2021|Chemical Science|12|7943|doi:10.1039/D1SC02065J
DOI: 10.5517/ccdc.csd.cc23jl2b
title: CCDC 1952351: Experimental Crystal Structure Determination

description: Related Article: Philipp Niermeier, Kristina A. M. Maibom, Jan-Hendrik Lamm, Beate Neumann, Hans-Georg Stammler, Norbert W. Mitzel|2021|Chemical Science|12|7943|doi:10.1039/D1SC02065J
DOI: 10.5517/ccdc.csd.cc23jl3c
title: CCDC 1952352: Experimental Crystal Structure Determination

description: Related Article: Philipp Niermeier, Kristina A. M. Maibom, Jan-Hendrik Lamm, Beate Neumann, Hans-Georg Stammler, Norbert W. Mitzel|2021|Chemical Science|12|7943|doi:10.1039/D1SC02065J
DOI: 10.5517/ccdc.csd.cc23jl4d
title: CCDC 1952353: Experimental Crystal Structure Determination

description: Related Article: Philipp Niermeier, Kristina A. M. Maibom, Jan-Hendrik Lamm, Beate Neumann, Hans-Georg Stammler, Norbert W. Mitzel|2021|Chemical Science|12|7943|doi:10.1039/D1SC02065J
DOI: 10.5517/ccdc.csd.cc23jl5f
title: CCDC 1952354: Experimental Crystal Structure Determination

description: Related Article: Philipp Niermeier, Kristina A. M. Maibom, Jan-Hendrik Lamm, Beate Neumann, Hans-Georg Stammler, Norbert W. Mitzel|2021|Chemical Science|12|7943|doi:10.1039/D1SC02065J
DOI: 10.5517/ccdc.csd.cc23jl6g
title: CCDC 1952355: Experimental Crystal Structure Determination

description: Related Article: Philipp Niermeier, Kristina A. M. Maibom, Jan-Hendrik Lamm, Beate Neumann, Hans-Georg Stammler, Norbert W. Mitzel|2021|Chemical Science|12|7943|doi:10.1039/D1SC02065J
DOI: 10.5517/ccdc.csd.cc24vpwl
title: CCDC 1991870: Experimental Crystal Structure Determination

description: Related Article: Przemysław Szklarz, Vasyl Kinzhybalo, Grażyna Bator|2021|CrystEngComm|23|4005|doi:10.1039/D1CE00381J
DOI: 10.5517/ccdc.csd.cc26b692
title: CCDC 2035593: Experimental Crystal Structure Determination

description: Related Article: Anqi Li, Xiaofan Ma, Jie Ma, Qingyi Yuan, Jun Zhang, Xiaopeng Xuan|2021|CrystEngComm|23|3989|doi:10.1039/D1CE00251A
DOI: 10.5517/ccdc.csd.cc26nhcr
title: CCDC 2045484: Experimental Crystal Structure Determination

description: Related Article: Qiang Feng, An Wu, Xinhao Zhang, Lijuan Song, Jianwei Sun|2021|Chemical Science|12|7953|doi:10.1039/D1SC00941A
DOI: 10.34808/fy5z-ad08
title: FTIR spectra of SOFC with LSCNT layer fueled by biogas mixture at 750 C (pure)

description: The dataset contains the FTIR spectra collected during the electrical measurements DIR-SOFC with LSCNT layer. The SOFC was reduced at 800degC in H2 prior to mesurements. The spectra were collected every 10 min.
DOI: 10.5517/ccdc.csd.cc26qdr3
title: CCDC 2047325: Experimental Crystal Structure Determination

description: Related Article: Joseph F. DeJesus, Ryan W. F. Kerr, Deborah A. Penchoff, Xian B. Carroll, Charles C. Peterson, Polly L. Arnold, David M. Jenkins|2021|Chemical Science|12|7882|doi:10.1039/D1SC01007G
DOI: 10.5517/ccdc.csd.cc26qds4
title: CCDC 2047326: Experimental Crystal Structure Determination

description: Related Article: Joseph F. DeJesus, Ryan W. F. Kerr, Deborah A. Penchoff, Xian B. Carroll, Charles C. Peterson, Polly L. Arnold, David M. Jenkins|2021|Chemical Science|12|7882|doi:10.1039/D1SC01007G
DOI: 10.5517/ccdc.csd.cc26qdt5
title: CCDC 2047327: Experimental Crystal Structure Determination

description: Related Article: Joseph F. DeJesus, Ryan W. F. Kerr, Deborah A. Penchoff, Xian B. Carroll, Charles C. Peterson, Polly L. Arnold, David M. Jenkins|2021|Chemical Science|12|7882|doi:10.1039/D1SC01007G
DOI: 10.5517/ccdc.csd.cc26skyj
title: CCDC 2049408: Experimental Crystal Structure Determination

description: Related Article: Raj K. Tak, Fuyuki Amemiya, Hidetoshi Noda, Masakatsu Shibasaki|2021|Chemical Science|12|7809|doi:10.1039/D1SC01419F
DOI: 10.5517/ccdc.csd.cc26v2ms
title: CCDC 2050855: Experimental Crystal Structure Determination

description: Related Article: Juntaro Nogami, Yuki Nagashima, Kazunori Miyamoto, Atsuya Muranaka, Masanobu Uchiyama, Ken Tanaka|2021|Chemical Science|12|7858|doi:10.1039/D1SC00861G
DOI: 10.5517/ccdc.csd.cc26x14b
title: CCDC 2052731: Experimental Crystal Structure Determination

description: Related Article: Shridhar H. Thorat, Christy P. George, Parth S. Shaligram, Suresha P. R. , Rajesh G. Gonnade|2021|CrystEngComm|23|3961|doi:10.1039/D1CE00032B
DOI: 10.5517/ccdc.csd.cc26x15c
title: CCDC 2052732: Experimental Crystal Structure Determination

description: Related Article: Shridhar H. Thorat, Christy P. George, Parth S. Shaligram, Suresha P. R. , Rajesh G. Gonnade|2021|CrystEngComm|23|3961|doi:10.1039/D1CE00032B
DOI: 10.5517/ccdc.csd.cc26x16d
title: CCDC 2052733: Experimental Crystal Structure Determination

description: Related Article: Shridhar H. Thorat, Christy P. George, Parth S. Shaligram, Suresha P. R. , Rajesh G. Gonnade|2021|CrystEngComm|23|3961|doi:10.1039/D1CE00032B