cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.904909.v1
title: Data on the responses of neurons and astrocytes to oxidative injury in the presence of insulin-like growth factor I

description: Fig1a) Neuron viability measured as percentage of GFP positive cells cultured ± astrocytes after treatment with H2O2. N: neurons, NA: neurons + astrocytes. Names for each file refer to the related figures in the associated research article. Fig1b) IGF-I measured in the supernatant of neuron or astrocyte cultures treated ± with H2O2. Fig1c) pAKT levels measured in astrocytes transfected with an IGF-IR dominant negative construct (IGF-IR DN) after treatment with IGF-I. Fig1d) Neuron viability measured as percentage of GFP positive cells cultured with astrocytes transfected with IGF-IR DN. Fig2a) pAKT levels in astrocytes treated ± with PPP (picropodophyllin) after treatment with IGF-I. Fig2b) Neuron viability measured as percentage of GFP positive cells treated ± with PPP and H2O2. Fig2c) Neuron viability expressed as percentage of GFP positive cells cultured with astrocytes and treated ± with PPP and H2O2. Fig2d) Neuron viability measured as percentage of GFP positive cells cultured with astrocytes (both cells types from forebrain) and treated ± with PPP and H2O2. Fig2e) Neuron viability measured as percentage of GFP positive cells cultured with astrocytes and treated with IGF-I, H2O2 or both. Fig3a) Neuron death measured as percentage of PI positive cells treated ± with IGF-I and H2O2. Fig3b) Astrocyte survival expressed as percentage of PI negative cells treated ± with IGF-I and H2O2. Fig3c) FOXO activity from astrocytes treated with IGF-I, H2O2 or both. Fig3d) Cell survival expressed as percentage of GFP positive cells for astrocytes transfected with wt or AKT-insensitive mutant FOXO, treated ± with IGF-Iand H2O2. Fig3e) pAKT levels form astrocytes treated with IGF-I I ± H2O2. Fig4a) Mitochondrial O2- measured in astrocytes treated ± with IGF-I and H2O2. Fig4b) Total ROS (reactive oxygen species) measured in astrocytes treated ± with IGF-I and H2O2. Fig5a) Cu/Zn SOD (superoxide dismutase) levels from astrocytes treated with IGF-I, H2O2 or both. Fig5b) Mn SOD levels from astrocytes treated with IGF-I, H2O2 or both. Fig6a) TXNIP levels from astrocytes treated with IGF-I, H2O2 or both. Fig6b) Cell survival from astrocytes transfected with TXNIP shRNA ± H2O2. Fig6c) TXNIP levels from neurons treated with IGF-I, H2O2 or both. Fig6d) TXNIP levels from astrocytes pre-treated with the calcium inhibitor BAPTA in the presence of IGF-I, H2O2 or both. Fig7a) SCF (stem cell factor) mRNA from astrocytes treated with IGF-I, H2O2 or both. Fig7b) Neuron viability measured as percentage of GFP positive cells treated with IGF-I, SCF or both in the presence of H2O2. Fig7c) pERK levels form astrocytes treated with IGF-I, SCF or both ± H2O2. Fig7d) SCF and IGF-I mRNA from control or MCAO (medial cerebral artery occlusion) animal cortex (contralateral or ispsilateral cortex). Fig7e) SCF protein levels from control or MCAO animal cortex (contralateral or ispsilateral cortex). Luminol) Reactive oxygen species (ROS) measurements using luminol (which detects superoxide anions)
DOI: 10.6084/m9.figshare.904851
title: Risk preferences and optimal management of uneven-aged forests in the presence of climate change: a Markov decision process approach

description: This study analyzes optimal harvesting of uneven-aged stands by applying a Markov Decision Processes (MDP) framework and an economic description of uneven-aged forestry. <br>Two management types are considered: the exact uneven-aged forest management model in which the forest owner jointly manages all the different stand plots, and the independent uneven-aged forest management model that assumes that the forest owner separately and independently manages each plot of the forest. The MDP framework is applied to a non-industrial private forest owner located in North-East of France. The zip file contains Matlab code(files RUN.m and run_all_cases.m), results (directories RESULT_n5 and RESULT_n10) and howto information (file README) to reproduce experiments.
DOI: 10.6084/m9.figshare.904856
title: Forest industry expectations to future development in the forest sector

description: Participatory surveys of sawn wood industry employees in Norway (2010, 2013), assessing expectations of how key factors will develop until 2020.
DOI: 10.6084/m9.figshare.904908.v1
title: Responses from a survey on leadership and management issues by wildlife reintroduction practitioners

description: Responses of 68 wildlife reintroduction practitioners to a survey (Qualtrics, 2009) on management and leadership aspects of wildlife reintroduction programs. The survey was completed between April-May 2009.
DOI: 10.6084/m9.figshare.904819
title: Raw data for "Data-driven modeling of olfactory neural codes and their dynamics in the insect antennal lobe"

description: RAW data for "Data-driven modeling of olfactory neural codes and their dynamics in the insect antennal lobe"
DOI: 10.6084/m9.figshare.904850
title: order in spontaneous behavior

description: This folder contains all raw data (including additional flies) and all MatLab scripts used to evaluate the data in the paper: Order in Spontaneous Behavior by Alexander Maye, Chih-hao Hsieh, George Sugihara, Björn Brembs Published: May 16, 2007, DOI: 10.1371/journal.pone.0000443
DOI: 10.6084/m9.figshare.904850.v1
title: order in spontaneous behavior

description: This folder contains all raw data (including additional flies) and all MatLab scripts used to evaluate the data in the paper: Order in Spontaneous Behavior by Alexander Maye, Chih-hao Hsieh, George Sugihara, Björn Brembs Published: May 16, 2007, DOI: 10.1371/journal.pone.0000443
DOI: 10.6084/m9.figshare.904856.v1
title: Forest industry expectations to future development in the forest sector

description: Participatory surveys of sawn wood industyr employees in Norway (2010, 2013), assessing expectations of how key factors will develop until 2013.
DOI: 10.6084/m9.figshare.904851.v2
title: Materials to support reproductibility

description: Risk preferences and optimal management of uneven-aged forests in the presence of climate change: a Markov decision process approach. Matlab code, results and howto explanation to reproduce experiments.
DOI: 10.6084/m9.figshare.904851.v4
title: Risk preferences and optimal management of uneven-aged forests in the presence of climate change: a Markov decision process approach

description: This study analyzes optimal harvesting of uneven-aged stands by applying a Markov Decision Processes (MDP) framework and an economic description of uneven-aged forestry. <br>Two management types are considered: the exact uneven-aged forest management model in which the forest owner jointly manages all the different stand plots, and the independent uneven-aged forest management model that assumes that the forest owner separately and independently manages each plot of the forest. The MDP framework is applied to a non-industrial private forest owner located in North-East of France. The zip file contains Matlab code(files RUN.m and run_all_cases.m), results (directories RESULT_n5 and RESULT_n10) and howto information (file README) to reproduce experiments.
DOI: 10.6084/m9.figshare.904856.v2
title: Forest industry expectations to future development in the forest sector

description: Participatory surveys of sawn wood industyr employees in Norway (2010, 2013), assessing expectations of how key factors will develop until 2013.
DOI: 10.6084/m9.figshare.904851.v3
title: Risk preferences and optimal management of uneven-aged forests in the presence of climate change: a Markov decision process approach

description: This study analyzes optimal harvesting of uneven-aged stands by applying a Markov Decision Processes (MDP) framework and an economic description of uneven-aged forestry. <br>Two management types are considered: the exact uneven-aged forest management model in which the forest owner jointly manages all the different stand plots, and the independent uneven-aged forest management model that assumes that the forest owner separately and independently manages each plot of the forest. The MDP framework is applied to a non-industrial private forest owner located in North-East of France. The zip file contains Matlab code(files RUN.m and run_all_cases.m), results (directories RESULT_n5 and RESULT_n10) and howto information (file README) to reproduce experiments.
DOI: 10.6084/m9.figshare.903751
title: Structured eligibility criteria of breast cancer clinical trials

description: This data set contains semi structured eligibility criteria of nearly 300 breast cancer trials from ClinicalTrials.gov. The structured representation consists of the detected in text: patterns (e.g. "No prior ()"), UMLS concepts and normalized measurements. The criteria are classified according to several dimensions which describe the meta information of temporal status, time independent status, specification type and medical content. The metadata can be used to define fine grained queries. Additionally, some criteria are interlinked witch each other by a transitive relation "isMoreStrict/isMoreRelaxed" - indicating which criterion can in theory be satisfied by a larger number of patients. The method for criteria structuring has been described in [1]. The method for creating a library and comparing the restrictiveness of criteria has been described in [2]. An interactive visualization of the library, prepared by Rinke Hoekstra can be accessed at http://semweb.cs.vu.nl/eligibility [3]. The library can be queried using the following SPARQL endpoint http://semweb.cs.vu.nl:8080/openrdf-sesame/repositories/ct [4] Example of sparql queries are available at [5] . Enclosed examples allow to i.e.: 1.Find criteria that mention a conceptwith a specific UMLS CUI e.g.“C0029925”(OvarianCarcinoma) 2. Find trials with criteria that match a specific pattern e.g. “At least () since prior ()” 3. Displays a list of all defined patterns 4. Find trials with criteria that mention a specific drug e.g. “C0039286” (Tamoxifen) in a specific context e.g. as a forbidden prior treatment 5. Find trials with criteria that are more relaxed than a provided one e.g. “bilirubin less than 1.5”
DOI: 10.6084/m9.figshare.903752
title: Gaussian Job Archive for C38H46ClMnN2O3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.904856.v3
title: Forest industry expectations to future development in the forest sector

description: Participatory surveys of sawn wood industyr employees in Norway (2010, 2013), assessing expectations of how key factors will develop until 2013.
DOI: 10.6084/m9.figshare.903724
title: Refleksje na temat pracy: Analiza finansowa ekonomicznej kondycji na przykładzie instytucji non profit o charakterze charytatywnym autorstwa K. Karwackiej

description: Celem niniejszej refleksji jest ocena pracy napisanej przez studenke Uniwersytetu Ekonomicznego. W wykonanym przez siebie projekcie autorka bada<br>ekonomiczna kondycje wybranej organizacji non-profit działajacej charytatywnie. Modelem zastosowanym w pracy jest model J. Zietlowa.
DOI: 10.6084/m9.figshare.903752.v1
title: Gaussian Job Archive for C38H46ClMnN2O3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.904856.v4
title: Forest industry expectations to future development in the forest sector

description: Participatory surveys of sawn wood industyr employees in Norway (2010, 2013), assessing expectations of how key factors will develop until 2013.
DOI: 10.6084/m9.figshare.903724.v1
title: Refleksje na temat pracy: Analiza finansowa ekonomicznej kondycji na przykładzie instytucji non profit o charakterze charytatywnym autorstwa K. Karwackiej

description: Celem niniejszej refleksji jest ocena pracy napisanej przez studenke Uniwersytetu Ekonomicznego. W wykonanym przez siebie projekcie autorka bada<br>ekonomiczna kondycje wybranej organizacji non-profit działajacej charytatywnie. Modelem zastosowanym w pracy jest model J. Zietlowa.
DOI: 10.6084/m9.figshare.904856.v5
title: Forest industry expectations to future development in the forest sector

description: Participatory surveys of sawn wood industyr employees in Norway (2010, 2013), assessing expectations of how key factors will develop until 2013.
DOI: 10.6084/m9.figshare.904856.v6
title: Forest industry expectations to future development in the forest sector

description: Participatory surveys of sawn wood industry employees in Norway (2010, 2013), assessing expectations of how key factors will develop until 2020.
DOI: 10.6084/m9.figshare.903716.v2
title: Meta-analysis Implicit Behavioral Anticipation

description: Database and software scripts in R to calculate Bayes Factor and Bayesian estimates of effect size
DOI: 10.6084/m9.figshare.903716.v3
title: Meta-analysis Implicit Behavioral Anticipation

description: Database and software scripts in R to calculate Bayes Factor and Bayesian estimates of effect size
DOI: 10.6084/m9.figshare.903706
title: Post forest fire soil nutrient levels in burned and unburned areas of the Kaubru Hills, Manipur

description: Available zinc levels (mg/kg) in 0-5 (1), 5-10 (2) and 10-15 cm (3) soil layers taken form burned and unburned areas following a forest fire. Samples were taken at monthly intervals between April 2010– March 2011. Available Soil Organic Carbon (%) levels in 0-5 (1), 5-10 (2) and 10-15 cm (3) soil layers taken form burned and unburned areas following a forest fire. Samples were taken at monthly intervals between April 2010– March 2011. Available potassium levels (kg/ha) in 0-5 (1), 5-10 (2) and 10-15 cm (3) soil layers taken form burned and unburned areas following a forest fire. Samples were taken at monthly intervals between April 2010– March 2011. Available phosphorous levels (kg/ha) in 0-5 (1), 5-10 (2) and 10-15 cm (3) soil layers taken form burned and unburned areas following a forest fire. Samples were taken at monthly intervals between April 2010– March 2011. Available copper levels (mg/kg) in 0-5 (1), 5-10 (2) and 10-15 cm (3) soil layers taken form burned and unburned areas following a forest fire. Samples were taken at monthly intervals between April 2010– March 2011. Available manganese levels (mg/kg) in 0-5 (1), 5-10 (2) and 10-15 cm (3) soil layers taken form burned and unburned areas following a forest fire. Samples were taken at monthly intervals between April 2010– March 2011. Available iron levels (mg/kg) in 0-5 (1), 5-10 (2) and 10-15 cm (3) soil layers taken form burned and unburned areas following a forest fire. Samples were taken at monthly intervals between April 2010– March 2011. Available NH4+-N levels (kg/ha) in 0-5 (1), 5-10 (2) and 10-15 cm (3) soil layers taken form burned and unburned areas following a forest fire. Samples were taken at monthly intervals between April 2010– March 2011.
DOI: 10.6084/m9.figshare.903704
title: InSciOut

description: Data and materials associated with: Sumner P., Vivian-Griffiths, S., Boivin J., Williams A., Venetis, CA., Davies A., Ogden J, Whelan L., Hughes B., Dalton B., Boy F., & Chambers C.D. The association between exaggeration in health related science news and academic press releases: retrospective observational study.
DOI: 10.6084/m9.figshare.903706.v1
title: Post forest fire soil nutrient levels in burned and unburned areas of the Kaubru Hills, Manipur

description: Available zinc levels (mg/kg) in 0-5 (1), 5-10 (2) and 10-15 cm (3) soil layers taken form burned and unburned areas following a forest fire. Samples were taken at monthly intervals between April 2010– March 2011. Available Soil Organic Carbon (%) levels in 0-5 (1), 5-10 (2) and 10-15 cm (3) soil layers taken form burned and unburned areas following a forest fire. Samples were taken at monthly intervals between April 2010– March 2011. Available potassium levels (kg/ha) in 0-5 (1), 5-10 (2) and 10-15 cm (3) soil layers taken form burned and unburned areas following a forest fire. Samples were taken at monthly intervals between April 2010– March 2011. Available phosphorous levels (kg/ha) in 0-5 (1), 5-10 (2) and 10-15 cm (3) soil layers taken form burned and unburned areas following a forest fire. Samples were taken at monthly intervals between April 2010– March 2011. Available copper levels (mg/kg) in 0-5 (1), 5-10 (2) and 10-15 cm (3) soil layers taken form burned and unburned areas following a forest fire. Samples were taken at monthly intervals between April 2010– March 2011. Available manganese levels (mg/kg) in 0-5 (1), 5-10 (2) and 10-15 cm (3) soil layers taken form burned and unburned areas following a forest fire. Samples were taken at monthly intervals between April 2010– March 2011. Available iron levels (mg/kg) in 0-5 (1), 5-10 (2) and 10-15 cm (3) soil layers taken form burned and unburned areas following a forest fire. Samples were taken at monthly intervals between April 2010– March 2011. Available NH4+-N levels (kg/ha) in 0-5 (1), 5-10 (2) and 10-15 cm (3) soil layers taken form burned and unburned areas following a forest fire. Samples were taken at monthly intervals between April 2010– March 2011.
DOI: 10.6084/m9.figshare.903697
title: GPS monitoring of Mooses in HardangerVidda and Snohetta (Norway)

description: This dataset contains the GPS relocations of several mooses monitored using GPS in two study areas in Norway.
DOI: 10.6084/m9.figshare.903716.v4
title: Meta-analysis Implicit Behavioral Anticipation

description: Database and software scripts in R to calculate Bayes Factor and Bayesian estimates of effect size
DOI: 10.6084/m9.figshare.903716.v5
title: FeelingFuture Meta-analysis

description: Databases and software scripts in R to calculate Bayes Factor and Bayesian estimates of effect size
DOI: 10.6084/m9.figshare.903697.v1
title: GPS monitoring of Mooses in HardangerVidda and Snohetta (Norway)

description: This dataset contains the GPS relocations of several mooses monitored using GPS in two study areas in Norway.
DOI: 10.6084/m9.figshare.903697.v3
title: GPS monitoring of Mooses in HardangerVidda and Snohetta (Norway)

description: This dataset contains the GPS relocations of several mooses monitored using GPS in two study areas in Norway.
DOI: 10.6084/m9.figshare.903704.v1
title: InSciOut

description: Data and materials associated with: Sumner P., Stonkute A., Williams A., Davies A., Ogden J, Whelan L., Hughes B., Dalton B., Boy F., Boivin J. & Chambers C.D. Most exaggeration in health-related science news is already present in academic press releases.
DOI: 10.6084/m9.figshare.903697.v2
title: GPS monitoring of Mooses in HardangerVidda and Snohetta (Norway)

description: This dataset contains the GPS relocations of several mooses monitored using GPS in two study areas in Norway.
DOI: 10.6084/m9.figshare.903704.v2
title: InSciOut

description: Data and materials associated with: Sumner P., Stonkute A., Williams A., Davies A., Ogden J, Whelan L., Hughes B., Dalton B., Boy F., Boivin J. & Chambers C.D. Most exaggeration in health-related science news is already present in academic press releases.
DOI: 10.6084/m9.figshare.903716.v6
title: FeelingFuture Meta-analysis

description: Databases and software scripts in R to calculate Bayes Factor and Bayesian estimates of effect size
DOI: 10.6084/m9.figshare.903716.v7
title: FeelingFuture Meta-analysis

description: Databases and software scripts in R to calculate Bayes Factor and Bayesian estimates of effect sizes and tau-squared
DOI: 10.6084/m9.figshare.903704.v3
title: InSciOut

description: Data and materials associated with: Sumner P., Vivian-Griffiths, S., Boivin J., Williams A., Venetis, CA., Davies A., Ogden J, Whelan L., Hughes B., Dalton B., Boy F., & Chambers C.D. Most exaggeration in health-related science news is already present in academic press releases.
DOI: 10.6084/m9.figshare.903704.v4
title: InSciOut

description: Data and materials associated with: Sumner P., Vivian-Griffiths, S., Boivin J., Williams A., Venetis, CA., Davies A., Ogden J, Whelan L., Hughes B., Dalton B., Boy F., & Chambers C.D. Most exaggeration in health-related science news is already present in academic press releases.
DOI: 10.6084/m9.figshare.903716.v8
title: FeelingFuture Meta-analysis

description: Databases and software scripts in R to calculate Bayes Factor and Bayesian estimates of effect sizes and tau-squared
DOI: 10.6084/m9.figshare.903716.v9
title: FeelingFuture Meta-analysis

description: Databases and software scripts in R to calculate Bayes Factor and Bayesian estimates of effect sizes and tau-squared
DOI: 10.6084/m9.figshare.903683
title: microbe identification and sorting

description: manapulation on bacterial scale
DOI: 10.6084/m9.figshare.903683.v1
title: microbe identification and sorting

description: manapulation on bacterial scale
DOI: 10.6084/m9.figshare.903716.v10
title: FeelingFuture Meta-analysis

description: Databases and software scripts in R to calculate Bayes Factor and Bayesian estimates of effect sizes and tau-squared
DOI: 10.6084/m9.figshare.903716.v11
title: FeelingFuture Meta-analysis

description: Databases and software scripts in R to calculate Bayes Factor and Bayesian estimates of effect sizes and tau-squared
DOI: 10.6084/m9.figshare.903663
title: Reaction path EFMO-RHF/6-31G(d):MP2/6-31G(d)

description: Chorismate Mutase reaction path calculated at the EFMO-RHF/6-31G(d):MP2/6-31G(d) level
DOI: 10.6084/m9.figshare.903662
title: Chorismate Mutase MD snapshots

description: Chorismate Mutase MD snapshots
DOI: 10.6084/m9.figshare.903662.v1
title: Chorismate Mutase MD snapshots

description: Chorismate Mutase MD snapshots
DOI: 10.6084/m9.figshare.903659
title: Reaction path calculated at the LCCSD(T0) level of theory

description: Chorismate to Prephanate reaction path calculated at the LCCSD(T0) level of theory
DOI: 10.6084/m9.figshare.903663.v1
title: Reaction path EFMO-RHF/6-31G(d):MP2/6-31G(d)

description: Chorismate Mutase reaction path calculated at the EFMO-RHF/6-31G(d):MP2/6-31G(d) level
DOI: 10.6084/m9.figshare.903716.v12
title: FeelingFuture Meta-analysis

description: Databases and software scripts in R to calculate Bayes Factor and Bayesian estimates of effect sizes and tau-squared
DOI: 10.6084/m9.figshare.903656
title: Reaction path EFMO-RHF/6-31G(d):MP2/cc-pVTZ

description: Chorismate Mutase reaction path calculated at the EFMO-RHF/6-31G(d):MP2/cc-PVTZ level
DOI: 10.6084/m9.figshare.903657
title: Chorismate Mutase reaction path calculated at the EFMO-RHF/6-31G(d):MP2/cc-PVTZ level

description: Chorismate Mutase reaction path calculated at the EFMO-RHF/6-31G(d):MP2/cc-PVTZ level
DOI: 10.6084/m9.figshare.903658
title: Chorismate Mutase reaction path calculated at the EFMO-RHF/6-31G(d):MP2/cc-PVTZ level

description: Chorismate Mutase reaction path calculated at the EFMO-RHF/6-31G(d):MP2/cc-PVTZ level
DOI: 10.6084/m9.figshare.903659.v1
title: Reaction path calculated at the LCCSD(T0) level of theory

description: Chorismate to Prephanate reaction path calculated at the LCCSD(T0) level of theory
DOI: 10.6084/m9.figshare.903655
title: Reaction path EFMO-RHF/6-31G(d):MP2/cc-pVTZ

description: Chorismate Mutase reaction path calculated at the EFMO-RHF/6-31G(d):MP2/cc-PVTZ level
DOI: 10.6084/m9.figshare.903657.v1
title: Chorismate Mutase reaction path calculated at the EFMO-RHF/6-31G(d):MP2/cc-PVTZ level

description: Chorismate Mutase reaction path calculated at the EFMO-RHF/6-31G(d):MP2/cc-PVTZ level
DOI: 10.6084/m9.figshare.903716.v13
title: FeelingFuture Meta-analysis

description: Databases and software scripts in R to calculate Bayes Factor and Bayesian estimates of effect sizes and tau-squared
DOI: 10.6084/m9.figshare.903654
title: Reaction path EFMO-RHF/6-31G(d):MP2/cc-pVDZ

description: Chorismate Mutase reaction path calculated at the EFMO-RHF/6-31G(d):MP2/cc-PVDZ level
DOI: 10.6084/m9.figshare.903655.v1
title: Reaction path EFMO-RHF/6-31G(d):MP2/cc-pVTZ

description: Chorismate Mutase reaction path calculated at the EFMO-RHF/6-31G(d):MP2/cc-PVTZ level
DOI: 10.6084/m9.figshare.903656.v1
title: Reaction path EFMO-RHF/6-31G(d):MP2/cc-pVTZ

description: Chorismate Mutase reaction path calculated at the EFMO-RHF/6-31G(d):MP2/cc-PVTZ level