cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9971642.v2
title: GPS and DD sheep data

description: The data were collected from one sheep in Bariloche, Argentina, during February and March of 2019. The contains information of a GPS (CatLog-B, Perthold Engineering, www.perthold.de; USA), that was programmed to record location data every five minutes, and a DailyDiary, that was programmed to record 40 acceleration data per second (frequency of 40Hz) and 13 magnetometer data per second (frequency of 13Hz).
DOI: 10.6084/m9.figshare.9971564.v2
title: Quantification

description: rsem quantification<br>
DOI: 10.6084/m9.figshare.9971546
title: De novo transcriptome assembly

description: de novo transcriptome assembly. <br><br>These high quality reads were prepared for <em>de novo</em> transcriptome assembly using Trinity software with default parameters.
DOI: 10.6084/m9.figshare.9971564.v1
title: Quantification

description: rsem quantification<br>
DOI: 10.6084/m9.figshare.9971519
title: Disturbance after Disturbance: Combined Effects of Two Successive Hurricanes on Forest Community Structure

description: Our attempts to gain knowledge from studying the effects of a single windstorm might be complicated by one or more other events that pass through the same system before it recovers from prior damage. In this article, we had the opportunity to examine permanent plots affected by two consecutive catastrophic storms of comparable intensity within a short time frame (less than a decade). We compared tree damage patterns resulting from Hurricane Rita in 2005 and Hurricane Ike in 2008, which struck the same five forest plots (40 m × 50 m each; 1 ha total) established in the Big Thicket National Preserve of southeast Texas. The results showed that the post-Rita forest structure was characterized by intense damage to short, shade-tolerant stems and increased canopy openness. Hence, trees damaged by Ike were, in general, taller, more shade intolerant, and more spatially distant from their undamaged counterparts than trees damaged by Rita. These contrasting damage patterns indicate that Ike affected the plots differently to a normal windstorm occurring in isolation (after a long absence of prior windstorms). We anticipate that the cumulative, compounded effects of these two storms will potentially have long-lasting footprints on the structure and function of the study forest. The need to account for compounding disturbance interactions in forest research and management will grow, because many atmospheric scientists predict increases in both the intensity and frequency of hurricanes in conjunction with future climate change scenarios. <i>Key Words: Big Thicket, disturbance interaction, forest structure, hurricane, spatial point pattern analysis</i>.
DOI: 10.6084/m9.figshare.9971549.v1
title: Metadata record for: Room-level occupant counts and environmental quality from heterogeneous sensing modalities in a smart building

description: This dataset contains key characteristics about the data described in the Data Descriptor Room-level occupant counts and environmental quality from heterogeneous sensing modalities in a smart building. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.9971519.v1
title: Disturbance after Disturbance: Combined Effects of Two Successive Hurricanes on Forest Community Structure

description: Our attempts to gain knowledge from studying the effects of a single windstorm might be complicated by one or more other events that pass through the same system before it recovers from prior damage. In this article, we had the opportunity to examine permanent plots affected by two consecutive catastrophic storms of comparable intensity within a short time frame (less than a decade). We compared tree damage patterns resulting from Hurricane Rita in 2005 and Hurricane Ike in 2008, which struck the same five forest plots (40 m × 50 m each; 1 ha total) established in the Big Thicket National Preserve of southeast Texas. The results showed that the post-Rita forest structure was characterized by intense damage to short, shade-tolerant stems and increased canopy openness. Hence, trees damaged by Ike were, in general, taller, more shade intolerant, and more spatially distant from their undamaged counterparts than trees damaged by Rita. These contrasting damage patterns indicate that Ike affected the plots differently to a normal windstorm occurring in isolation (after a long absence of prior windstorms). We anticipate that the cumulative, compounded effects of these two storms will potentially have long-lasting footprints on the structure and function of the study forest. The need to account for compounding disturbance interactions in forest research and management will grow, because many atmospheric scientists predict increases in both the intensity and frequency of hurricanes in conjunction with future climate change scenarios. <i>Key Words: Big Thicket, disturbance interaction, forest structure, hurricane, spatial point pattern analysis</i>.
DOI: 10.6084/m9.figshare.9971546.v2
title: De novo transcriptome assembly

description: de novo transcriptome assembly. <br><br>These high quality reads were prepared for <em>de novo</em> transcriptome assembly using Trinity software with default parameters.
DOI: 10.6084/m9.figshare.9971546.v1
title: De novo transcriptome assembly

description: transcriptome denovo<br>
DOI: 10.6084/m9.figshare.9971426
title: Left, Right, Left, Right: Chemotaxing Neutrophils Enter Alternative Branches at Capillary Bifurcations

description: Data for Figures 2 to 7
DOI: 10.6084/m9.figshare.9971414
title: COI_TOP.fasta

description: This sequence is mitochondrial cytochrome oxidase subunit 1 of <i>Echiniscoides sigismundi</i> obtained from Japan:Kanagawa, Yokohama, Hirakata-bay. The library was sequenced using an Illumina HiSeq 2000. And De novo assembly of the clean reads was carried out using Bridger software.<br>
DOI: 10.6084/m9.figshare.9971384
title: Normas Federais Brasileiras de 1946 a 2017

description: Normas Federais Brasileiras de 1946 a 2017
DOI: 10.6084/m9.figshare.9971414.v1
title: COI_TOP.fasta

description: This sequence is mitochondrial cytochrome oxidase subunit 1 of <i>Echiniscoides sigismundi</i> obtained from Japan:Kanagawa, Yokohama, Hirakata-bay. The library was sequenced using an Illumina HiSeq 2000. And De novo assembly of the clean reads was carried out using Bridger software.<br>
DOI: 10.6084/m9.figshare.9971384.v2
title: Normas Federais Brasileiras de 1946 a 2017

description: Normas Federais Brasileiras de 1946 a 2017
DOI: 10.6084/m9.figshare.9971255
title: Modified EEZ (Exclusive Economic Zone) to Contain Mangrove Forest Ecosystems

description: This is manually modified EEZ dataset (shapefile) for each country that contains mangrove forests. This dataset has been manually edited for coastal regions where the country border often cuts through coastal ecosystems, rather than fully containing them. This has implications for calculating country statistics on coastal ecosystem services (e.g. carbon content). Our manually modified dataset circumvents this. This dataset was created as part of the Simard et al 2019 Mangrove Height and Biomass data.
DOI: 10.6084/m9.figshare.9971384.v1
title: Normas Federais Brasileiras de 1946 a 2017

description: Normas Federais Brasileiras de 1946 a 2017
DOI: 10.6084/m9.figshare.9971246
title: All Sky Camera Images, Svalbard, 2 October 2017

description: All Sky Camera images from the Sony a7s camera at the Kjell Henriksen Observatory, Svalbard. The timestamps are available in the file name in LYR-Sony-DDMMYY_HHMMSS.jpg format. The images span from October 2 2017 01:00 UT - 01:20 UT. An intensification in the aurora potentially linked with a flow channel is noted from approximately 01:10-01:17 UT.
DOI: 10.6084/m9.figshare.9971225
title: Output of CPlantBox-PiafMunch coupling

description: Simulation output of CPlantBox-PiafMunch coupling. Example 2-4
DOI: 10.6084/m9.figshare.9971222
title: Metadata record for: Travel times to hospitals in Australia

description: This dataset contains key characteristics about the data described in the Data Descriptor Travel times to hospitals in Australia. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>
DOI: 10.6084/m9.figshare.9971264.v1
title: High-dimensional macroeconomic forecasting using message passing algorithms*

description: This paper proposes two distinct contributions to econometric analysis of large information sets and structural instabilities. First, it treats a regression model with time-varying coefficients, stochastic volatility and exogenous predictors, as an equivalent high-dimensional static regression problem with thousands of covariates. Inference in this specification proceeds using Bayesian hierarchical priors that shrink the high-dimensional vector of coefficients either towards zero or time-invariance. Second, it introduces the frameworks of factor graphs and message passing as a means of designing efficient Bayesian estimation algorithms. In particular, a Generalized Approximate Message Passing (GAMP) algorithm is derived that has low algorithmic complexity and is trivially parallelizable. The result is a comprehensive methodology that can be used to estimate time-varying parameter regressions with arbitrarily large number of exogenous predictors. In a forecasting exercise for U.S. price inflation this methodology is shown to work very well.
DOI: 10.6084/m9.figshare.9971225.v1
title: Output of CPlantBox-PiafMunch coupling

description: Simulation output of CPlantBox-PiafMunch coupling. Example 2-4
DOI: 10.6084/m9.figshare.9971255.v1
title: Untitled Item

description: This is manually modified EEZ dataset (shapefile) for each country that contains mangrove forests. This dataset has been manually edited for coastal regions where the country border often cuts through coastal ecosystems, rather than fully containing them. This has implications for calculating country statistics on coastal ecosystem services (e.g. carbon content). Our manually modified dataset circumvents this. This dataset was created as part of the Simard et al 2019 Mangrove Height and Biomass data.
DOI: 10.6084/m9.figshare.9971255.v3
title: Modified EEZ (Exclusive Economic Zone) to Contain Mangrove Forest Ecosystems

description: This is manually modified EEZ dataset (shapefile) for each country that contains mangrove forests. This dataset has been manually edited for coastal regions where the country border often cuts through coastal ecosystems, rather than fully containing them. This has implications for calculating country statistics on coastal ecosystem services (e.g. carbon content). Our manually modified dataset circumvents this. This dataset was created as part of the Simard et al 2019 Mangrove Height and Biomass data.
DOI: 10.6084/m9.figshare.9971222.v2
title: Metadata record for: Travel times to hospitals in Australia

description: This dataset contains key characteristics about the data described in the Data Descriptor Travel times to hospitals in Australia. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>
DOI: 10.6084/m9.figshare.9971255.v2
title: Modified EEZ (Exclusive Economic Zone) to Contain Mangrove Forest Ecosystems

description: This is manually modified EEZ dataset (shapefile) for each country that contains mangrove forests. This dataset has been manually edited for coastal regions where the country border often cuts through coastal ecosystems, rather than fully containing them. This has implications for calculating country statistics on coastal ecosystem services (e.g. carbon content). Our manually modified dataset circumvents this. This dataset was created as part of the Simard et al 2019 Mangrove Height and Biomass data.
DOI: 10.6084/m9.figshare.9971222.v1
title: Metadata record for: Travel times to hospitals in Australia

description: This dataset contains key characteristics about the data described in the Data Descriptor Travel times to hospitals in Australia. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.9971051
title: Motivation_Data_M.sav

description: Data collected from agriculture students in four universities in South-Western Nigeria in the month of July 2018. To determine the motivational factors/drivers of young people to study agriculture contrary to dominant narratives.
DOI: 10.6084/m9.figshare.9971051.v2
title: Motivation_Data_M.sav

description: Data collected from agriculture students in four universities in South-Western Nigeria in the month of July 2018. To determine the motivational factors/drivers of young people to study agriculture contrary to dominant narratives.
DOI: 10.6084/m9.figshare.9971051.v1
title: Motivation_Data_M.sav

description: Data collected from agriculture students in four universities in South-Western Nigeria in the month of July 2018. To determine the motivational factors/drivers of young people to study agriculture contrary to dominant narratives.
DOI: 10.5522/04/9970907
title: Distributed coding of choice, action, and engagement across the mouse brain

description: Data from "Distributed coding of choice, action, and engagement across the mouse brain" by Nicholas A. Steinmetz, Peter Zatka-Haas, Matteo Carandini, Kenneth D. Harris, Nature 2019.<br><br><br>Vision, choice, action, and behavioral engagement arise from neuronal activity that may be distributed across brain regions. Here we delineate the spatial distribution of neurons underlying these processes. We used Neuropixels probes to record from ~30,000 neurons in 42 brain regions of mice performing a visual discrimination task. Neurons in nearly all regions responded non-specifically when the mouse initiated an 5 action. By contrast, neurons encoding visual stimuli and upcoming choices occupied restricted regions in neocortex, basal ganglia, and midbrain. Choice signals were rare and emerged with indistinguishable timing across regions. Midbrain neurons were activated before contralateral choices and suppressed before ipsilateral choices, whereas forebrain neurons could prefer either side. Brain-wide pre-stimulus activity 10 predicted engagement in individual trials and in the overall task, with enhanced subcortical but suppressed neocortical activity during engagement. These results reveal organizing principles for the distribution of neurons encoding behaviorally relevant variables across the mouse brain.<br><br>[experimental] ONE interface<br><br>The data is available via the ONE interface.<br><br>Installation instructions here.<br><br><br>To search and download this dataset:<br><br><br>import onelight as one<br>sessions = one.search(['trials']) # search for all sessions that have a `trials` object<br>session = sessions[0] # take the first session<br>trials = one.load_object(session, 'trials') # load the trials object<br>print(trials.intervals) # trials is a Bunch, values are NumPy arrays or pandas DataFrames<br>print(trials.goCue_times)<br><br><br>
DOI: 10.5522/04/9970907.v1
title: Distributed coding of choice, action, and engagement across the mouse brain

description: Data from "Distributed coding of choice, action, and engagement across the mouse brain" by Nicholas A. Steinmetz, Peter Zatka-Haas, Matteo Carandini, Kenneth D. Harris, Nature 2019.<br><br><br>Vision, choice, action, and behavioral engagement arise from neuronal activity that may be distributed across brain regions. Here we delineate the spatial distribution of neurons underlying these processes. We used Neuropixels probes to record from ~30,000 neurons in 42 brain regions of mice performing a visual discrimination task. Neurons in nearly all regions responded non-specifically when the mouse initiated an 5 action. By contrast, neurons encoding visual stimuli and upcoming choices occupied restricted regions in neocortex, basal ganglia, and midbrain. Choice signals were rare and emerged with indistinguishable timing across regions. Midbrain neurons were activated before contralateral choices and suppressed before ipsilateral choices, whereas forebrain neurons could prefer either side. Brain-wide pre-stimulus activity 10 predicted engagement in individual trials and in the overall task, with enhanced subcortical but suppressed neocortical activity during engagement. These results reveal organizing principles for the distribution of neurons encoding behaviorally relevant variables across the mouse brain.<br><br>[experimental] ONE interface<br><br>The data is available via the ONE interface.<br><br>Installation instructions here.<br><br><br>To search and download this dataset:<br><br><br>import onelight as one<br>sessions = one.search(['trials']) # search for all sessions that have a `trials` object<br>session = sessions[0] # take the first session<br>trials = one.load_object(session, 'trials') # load the trials object<br>print(trials.intervals) # trials is a Bunch, values are NumPy arrays or pandas DataFrames<br>print(trials.goCue_times)<br><br><br>
DOI: 10.6084/m9.figshare.9970859
title: Hydrogen diffusional loss in peridotite xenoliths from Nanjing, eastern China

description: This dataset includes original data of mineral chemistry analyses and representative FTIR spectra for olivine and pyroxene within peridotite xenoliths from Nanjing, eastern China. In addition, typical FTIR profile analyses for pyroxene are also included.
DOI: 10.6084/m9.figshare.9970859.v1
title: Hydrogen diffusional loss in peridotite xenoliths from Nanjing, eastern China

description: This dataset includes original data of mineral chemistry analyses and representative FTIR spectra for olivine and pyroxene within peridotite xenoliths from Nanjing, eastern China. In addition, typical FTIR profile analyses for pyroxene are also included.
DOI: 10.6084/m9.figshare.9970670
title: Biodegradation kinetics of dichlorvos and chlorpyrifos by enriched bacterial cultures from an agricultural soil

description: The study focuses on the biodegradation kinetics of organophosphate pesticides (OPs), chlorpyrifos and dichlorvos by enriched cultures and its application in pesticide transport models. <i>Pseudomonas aeruginosa</i> and <i>Taonella mepensis</i> were the species identified in dichlorvos enriched culture (DEC) while <i>Pseudomonas aeruginosa</i> and <i>Methylobacterium zatmanii</i> were present in chlorpyrifos enriched culture (CPEC). DEC readily degraded dichlorvos as the sole carbon source at higher concentrations up to 1000 mg/L while CPEC rapidly degraded chlorpyrifos up to 100 mg/L. On addition of 1 g/L C of dextrose, dichlorvos degradation efficiency significantly increased only at higher pesticide concentrations while there was no effect on chlorpyrifos degradation. Cross-feed and mixed-feed studies highlighted that, CPEC degraded dichlorvos as a sole substrate and a mixture of both the pesticides effectively when compared to DEC. Edward inhibition and Haldane inhibition models satisfactorily simulated the biodegradation kinetics of dichlorvos and chlorpyrifos by DEC and CPEC respectively. The biokinetic parameters; maximum specific growth rate (<i>µ<sub>max</sub></i>), half saturation constant (<i>K<sub>C</sub></i>), yield coefficient (<i>Y</i>) and inhibition concentration (<i>K<sub>i</sub></i>) for the selected pesticides were thus estimated from the best fit biokinetic models. Further, batch determined biokinetic parameters were successfully applied to pesticide transport model and used to simulate breakthrough curves (BTCs) from flow-through pesticide soil column studies. The results indicated that the enriched microbes are promising candidates for insitu bioremediation of contaminated waters and soils. In addition, the estimated biokinetic constants can be used to assess the biodegradation capabilities of the enriched cultures and act as input parameters for transport models.
DOI: 10.6084/m9.figshare.9970670.v1
title: Biodegradation kinetics of dichlorvos and chlorpyrifos by enriched bacterial cultures from an agricultural soil

description: The study focuses on the biodegradation kinetics of organophosphate pesticides (OPs), chlorpyrifos and dichlorvos by enriched cultures and its application in pesticide transport models. <i>Pseudomonas aeruginosa</i> and <i>Taonella mepensis</i> were the species identified in dichlorvos enriched culture (DEC) while <i>Pseudomonas aeruginosa</i> and <i>Methylobacterium zatmanii</i> were present in chlorpyrifos enriched culture (CPEC). DEC readily degraded dichlorvos as the sole carbon source at higher concentrations up to 1000 mg/L while CPEC rapidly degraded chlorpyrifos up to 100 mg/L. On addition of 1 g/L C of dextrose, dichlorvos degradation efficiency significantly increased only at higher pesticide concentrations while there was no effect on chlorpyrifos degradation. Cross-feed and mixed-feed studies highlighted that, CPEC degraded dichlorvos as a sole substrate and a mixture of both the pesticides effectively when compared to DEC. Edward inhibition and Haldane inhibition models satisfactorily simulated the biodegradation kinetics of dichlorvos and chlorpyrifos by DEC and CPEC respectively. The biokinetic parameters; maximum specific growth rate (<i>µ<sub>max</sub></i>), half saturation constant (<i>K<sub>C</sub></i>), yield coefficient (<i>Y</i>) and inhibition concentration (<i>K<sub>i</sub></i>) for the selected pesticides were thus estimated from the best fit biokinetic models. Further, batch determined biokinetic parameters were successfully applied to pesticide transport model and used to simulate breakthrough curves (BTCs) from flow-through pesticide soil column studies. The results indicated that the enriched microbes are promising candidates for insitu bioremediation of contaminated waters and soils. In addition, the estimated biokinetic constants can be used to assess the biodegradation capabilities of the enriched cultures and act as input parameters for transport models.
DOI: 10.6084/m9.figshare.9970613
title: Readme

description: Readme for repository data from ''Polyphase mid-latitude glaciation on Mars: chronology of the formation of superposed glacier-like forms from crater-count dating''
DOI: 10.6084/m9.figshare.9970619
title: SSVEP-recognition

description: Supplementary material for Minami et al., "Steady-state visually evoked potential is modulated by the difference of recognition condition", PLoS ONE
DOI: 10.6084/m9.figshare.9970613.v1
title: Readme

description: Readme for repository data from ''Polyphase mid-latitude glaciation on Mars: chronology of the formation of superimposed glacier-like forms from crater-count dating''
DOI: 10.6084/m9.figshare.9970619.v1
title: SSVEP-recognition

description: Supplementary material for Minami et al., "Steady-state visually evoked potential is modulated by the difference of recognition condition", PLoS ONE
DOI: 10.6084/m9.figshare.9970601
title: Data File S2

description: Excel file listing the counting area and crater counts in different crater diameter bins on each SGLF aggregate (Sheet 1) and its underlying VFF (Sheet 2).
DOI: 10.6084/m9.figshare.9970595
title: Data file S1

description: Excel file listing the inventory of SGLFs and their morphometric characteristics <br>