cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26126/intervals.6t2s58
title: TEER measurements in small airway and bronchial organotypic cultures [Individual measurements]

description: This dataset was generated in an in vitro study where the parameters of small airway and bronchial organotypic cultures from different donors were compared.
TEER was measured in small airway and bronchial cultures using an EndOhm-6 chamber connected to an EVOM™ Epithelial voltohmmeter.
This dataset includes single measurements for each sample.
DOI: 10.15129/fa67c29b-acd0-4237-8c68-e968f4f05a8a
title: Data for: "Pragmatic evaluation of the Go2Play Active Play intervention on physical activity and fundamental movement skills in children"

description: The pragmatic evaluation aimed to determine the effects of participating in a school-based Active Play intervention on school day physical activity and fundamental movement skills. The time spent in MVPA during the session was also analysed and compared to a comparison groups PE session. There are four main files of relevance: • Demographics • School day physical activity • FMS • Active Play and PE These excel files should be self-explanatory; for ease intervention and comparison groups have been presented separately and any variables are described in each excel file. Where required, comments have been added to variables on the excel documents to provide further explanation. For example, for gender a ‘1’ is Male and a ‘2’ is Female. Details of the study design, participants etc. can be found in the related publication. Data embargo until 09/08/2020. On 06/10/20 the data embargo was extended until 8/8/2023
DOI: 10.6084/m9.figshare.13055725.v1
title: TrustYourGut code from Trust your gut: using physiological states as a source of information is almost as effective as optimal Bayesian learning

description: Approaches to understanding adaptive behaviour often assume that animals have perfect information about environmental conditions or are capable of sophisticated learning. If such learning abilities are costly, however, natural selection will favour simpler mechanisms for controlling behaviour when faced with uncertain conditions. Here, we show that, in a foraging context, a strategy based only on current energy reserves often performs almost as well as a Bayesian learning strategy that integrates all previous experiences to form an optimal estimate of environmental conditions. We find that Bayesian learning gives a strong advantage only if fluctuations in the food supply are very strong and reasonably frequent. The performance of both the Bayesian and the reserve-based strategy are more robust to inaccurate knowledge of the temporal pattern of environmental conditions than a strategy that has perfect knowledge about current conditions. Studies assuming Bayesian learning are often accused of being unrealistic; our results suggest that animals can achieve a similar level of performance to Bayesians using much simpler mechanisms based on their physiological state. More broadly, our work suggests that the ability to use internal states as a source of information about recent environmental conditions will have weakened selection for sophisticated learning and decision-making systems.
DOI: 10.6084/m9.figshare.13055725
title: TrustYourGut code from Trust your gut: using physiological states as a source of information is almost as effective as optimal Bayesian learning

description: Approaches to understanding adaptive behaviour often assume that animals have perfect information about environmental conditions or are capable of sophisticated learning. If such learning abilities are costly, however, natural selection will favour simpler mechanisms for controlling behaviour when faced with uncertain conditions. Here, we show that, in a foraging context, a strategy based only on current energy reserves often performs almost as well as a Bayesian learning strategy that integrates all previous experiences to form an optimal estimate of environmental conditions. We find that Bayesian learning gives a strong advantage only if fluctuations in the food supply are very strong and reasonably frequent. The performance of both the Bayesian and the reserve-based strategy are more robust to inaccurate knowledge of the temporal pattern of environmental conditions than a strategy that has perfect knowledge about current conditions. Studies assuming Bayesian learning are often accused of being unrealistic; our results suggest that animals can achieve a similar level of performance to Bayesians using much simpler mechanisms based on their physiological state. More broadly, our work suggests that the ability to use internal states as a source of information about recent environmental conditions will have weakened selection for sophisticated learning and decision-making systems.
DOI: 10.6084/m9.figshare.13055728
title: OptDec code from Trust your gut: using physiological states as a source of information is almost as effective as optimal Bayesian learning

description: Approaches to understanding adaptive behaviour often assume that animals have perfect information about environmental conditions or are capable of sophisticated learning. If such learning abilities are costly, however, natural selection will favour simpler mechanisms for controlling behaviour when faced with uncertain conditions. Here, we show that, in a foraging context, a strategy based only on current energy reserves often performs almost as well as a Bayesian learning strategy that integrates all previous experiences to form an optimal estimate of environmental conditions. We find that Bayesian learning gives a strong advantage only if fluctuations in the food supply are very strong and reasonably frequent. The performance of both the Bayesian and the reserve-based strategy are more robust to inaccurate knowledge of the temporal pattern of environmental conditions than a strategy that has perfect knowledge about current conditions. Studies assuming Bayesian learning are often accused of being unrealistic; our results suggest that animals can achieve a similar level of performance to Bayesians using much simpler mechanisms based on their physiological state. More broadly, our work suggests that the ability to use internal states as a source of information about recent environmental conditions will have weakened selection for sophisticated learning and decision-making systems.
DOI: 10.6084/m9.figshare.13055728.v1
title: OptDec code from Trust your gut: using physiological states as a source of information is almost as effective as optimal Bayesian learning

description: Approaches to understanding adaptive behaviour often assume that animals have perfect information about environmental conditions or are capable of sophisticated learning. If such learning abilities are costly, however, natural selection will favour simpler mechanisms for controlling behaviour when faced with uncertain conditions. Here, we show that, in a foraging context, a strategy based only on current energy reserves often performs almost as well as a Bayesian learning strategy that integrates all previous experiences to form an optimal estimate of environmental conditions. We find that Bayesian learning gives a strong advantage only if fluctuations in the food supply are very strong and reasonably frequent. The performance of both the Bayesian and the reserve-based strategy are more robust to inaccurate knowledge of the temporal pattern of environmental conditions than a strategy that has perfect knowledge about current conditions. Studies assuming Bayesian learning are often accused of being unrealistic; our results suggest that animals can achieve a similar level of performance to Bayesians using much simpler mechanisms based on their physiological state. More broadly, our work suggests that the ability to use internal states as a source of information about recent environmental conditions will have weakened selection for sophisticated learning and decision-making systems.
DOI: 10.6084/m9.figshare.13055731.v1
title: indexfromarray code from Trust your gut: using physiological states as a source of information is almost as effective as optimal Bayesian learning

description: Approaches to understanding adaptive behaviour often assume that animals have perfect information about environmental conditions or are capable of sophisticated learning. If such learning abilities are costly, however, natural selection will favour simpler mechanisms for controlling behaviour when faced with uncertain conditions. Here, we show that, in a foraging context, a strategy based only on current energy reserves often performs almost as well as a Bayesian learning strategy that integrates all previous experiences to form an optimal estimate of environmental conditions. We find that Bayesian learning gives a strong advantage only if fluctuations in the food supply are very strong and reasonably frequent. The performance of both the Bayesian and the reserve-based strategy are more robust to inaccurate knowledge of the temporal pattern of environmental conditions than a strategy that has perfect knowledge about current conditions. Studies assuming Bayesian learning are often accused of being unrealistic; our results suggest that animals can achieve a similar level of performance to Bayesians using much simpler mechanisms based on their physiological state. More broadly, our work suggests that the ability to use internal states as a source of information about recent environmental conditions will have weakened selection for sophisticated learning and decision-making systems.
DOI: 10.6084/m9.figshare.13055731
title: indexfromarray code from Trust your gut: using physiological states as a source of information is almost as effective as optimal Bayesian learning

description: Approaches to understanding adaptive behaviour often assume that animals have perfect information about environmental conditions or are capable of sophisticated learning. If such learning abilities are costly, however, natural selection will favour simpler mechanisms for controlling behaviour when faced with uncertain conditions. Here, we show that, in a foraging context, a strategy based only on current energy reserves often performs almost as well as a Bayesian learning strategy that integrates all previous experiences to form an optimal estimate of environmental conditions. We find that Bayesian learning gives a strong advantage only if fluctuations in the food supply are very strong and reasonably frequent. The performance of both the Bayesian and the reserve-based strategy are more robust to inaccurate knowledge of the temporal pattern of environmental conditions than a strategy that has perfect knowledge about current conditions. Studies assuming Bayesian learning are often accused of being unrealistic; our results suggest that animals can achieve a similar level of performance to Bayesians using much simpler mechanisms based on their physiological state. More broadly, our work suggests that the ability to use internal states as a source of information about recent environmental conditions will have weakened selection for sophisticated learning and decision-making systems.
DOI: 10.5281/zenodo.4068036
title: Constraint-Induced Movement Therapy in multiple sclerosis

description: Dataset related to the journal articole "Constraint-Induced Movement Therapy in multiple sclerosis" de Sire Alessandro, Bigoni Matteo, Priano Lorenzo, Baudo Silvia, Solaro Claudio, MAURO ALESSANDRO NeuroRehabilitation 2019;45(2):247-254.
DOI: 10.5281/zenodo.4068035
title: Constraint-Induced Movement Therapy in multiple sclerosis

description: Dataset related to the journal articole "Constraint-Induced Movement Therapy in multiple sclerosis" de Sire Alessandro, Bigoni Matteo, Priano Lorenzo, Baudo Silvia, Solaro Claudio, MAURO ALESSANDRO NeuroRehabilitation 2019;45(2):247-254.
DOI: 10.5281/zenodo.4068038
title: Convective invigoration traced to warm-rain microphysics (manuscript data)

description: Data and scripts used to generate the results in the manuscript "Convective invigoration traced to warm-rain microphysics (manuscript data)" by Xin Rong Chua and Yi Ming.
DOI: 10.5281/zenodo.4068037
title: Convective invigoration traced to warm-rain microphysics (manuscript data)

description: Data and scripts used to generate the results in the manuscript "Convective invigoration traced to warm-rain microphysics (manuscript data)" by Xin Rong Chua and Yi Ming.
DOI: 10.17632/68v3x3gzck.1
title: Data for: Recommender Systems for Sensor-based Ambient Control in Academic Facilities

description: Academic spaces are an environment that promotes student performance not only because of the quality of its equipment, but also because of its ambient comfort conditions, which can be controlled by means of actuators that receive data from sensors. Something similar can be said about other environments, such as home, business, or industry environment. However, sensor devices can cause faults or inaccurate readings in a timely manner, affecting control mechanisms. The mutual relationship between ambient variables can be a source of knowledge to predict a variable in case a sensor fails. Moreover, the relationship between these variables and the occupation of spaces by students over time also contains an adequate knowledge of the context for prediction. This dataset provides sensor readings from sensors over time in different academic rooms. The data are supplied in a file in Excel format .xlsx. It containts several sheets corresponding with the different smart spaces (laboratories and classrooms). Each dataset is a matrix where the rows are the time dates of the readings, and there are three columns for the sensor readings of temperature, CO2 and humidity.
DOI: 10.26302/sshade/experiment_op_20200908_001
title: Vis-NIR reflectance spectra of powdered olivine, pyroxene, smectite and silica at 4 different grain sizes (from sub-µm to 200 µm) and with sub-µm grains in compact or porous surfaces

description: We measured the reflectance spectra (from 0.5 to 4.2 µm) of powders of olivine, pyroxene, a smectite-rich material, and amorphous silica. The powders were grinded and sieved and the spectra of four size fractions were measured: 100-200 µm, 50-100 µm, 0-50 µm, and sub-micrometer sized grains. In addition, porous surfaces of the latter grains were produced by mixing them with water ice and sublimating the ice.
DOI: 10.17632/h325b4jzgv.3
title: Data for: Mineralogical and isotopic characterization of graphite deposits in the western part of the North Qaidam Orogen and East Kunlun Orogen, northeast Tibetan Plateau, China

description: Data for X-ray diffraction, Carbon-oxygen isotopes of graphite and calcite
DOI: 10.6084/m9.figshare.12155553.v9
title: A global dataset for crop production under conventional tillage and no tillage practice

description: Author: <br>Yang Su 1, Benoit Gabrielle 1, David Makowski 2,3 <br>Affiliations: <br>1. UMR ECOSYS, INRAE AgroParisTech, Université Paris-Saclay, 78850 Thiverval-Grignon, France 2. UMR Agronomie, INRAE AgroParisTech, Université Paris-Saclay, 78850 Thiverval-Grignon, France<br>3. Applied mathematics and computer science (MIA 518), INRAE AgroParisTech, Université Paris-Saclay, 75005 Paris, France.<br><br>This dataset includes the results extracted from 422 papers (published between 1983 to 2020), 4403 paired yield observations from CA and CT for 8 major crop species (370 observations for barley (232 for spring barley and 138 for winter barley), 94 observations for cotton, 1690 observations for maize, 195 observation for rice, 160 observations for sorghum, 583 observations for soybean, 61 observations for sunflower, 1250 observations for wheat (209 for spring wheat and 1041 for winter wheat)) in 50 countries from 1980 to 2017. <br>For more information, please contact with author through: yang.su@inrae.fr<br>
DOI: 10.6084/m9.figshare.12162246.v1
title: Neudesin: a neuropeptide hormone decreased in subjects with polycystic ovary syndrome

description: Neudesin is a neuropeptide hormone involves in female reproduction system via promoting effects of progesterone. Polycystic ovary syndrome (PCOS) is a metabolic and reproductive disorder associated with hypothalamic-pituitary-ovarian axis abnormalities and impaired negative feedback mechanism of progesterone upon gonadotropin-releasing hormone secretion. Our aims were to discover whether neudesin levels were altered in PCOS women comparing to controls and to determine the link of neudesin with hormonal-metabolic parameters in PCOS women. The current research was designed as a case-control study. Sixty-eight subjects with PCOS and 67 age- and body mass index (BMI)-matched subjects as controls were enrolled into the study. Circulating neudesin levels were measured by ELISA. Neudesin levels were significantly lower in PCOS subjects compared to controls (4.07 ± 1.22 vs. 6.02 ± 2.07 ng/ml, <i>p</i>
DOI: 10.6084/m9.figshare.12162246
title: Neudesin: a neuropeptide hormone decreased in subjects with polycystic ovary syndrome

description: Neudesin is a neuropeptide hormone involves in female reproduction system via promoting effects of progesterone. Polycystic ovary syndrome (PCOS) is a metabolic and reproductive disorder associated with hypothalamic-pituitary-ovarian axis abnormalities and impaired negative feedback mechanism of progesterone upon gonadotropin-releasing hormone secretion. Our aims were to discover whether neudesin levels were altered in PCOS women comparing to controls and to determine the link of neudesin with hormonal-metabolic parameters in PCOS women. The current research was designed as a case-control study. Sixty-eight subjects with PCOS and 67 age- and body mass index (BMI)-matched subjects as controls were enrolled into the study. Circulating neudesin levels were measured by ELISA. Neudesin levels were significantly lower in PCOS subjects compared to controls (4.07 ± 1.22 vs. 6.02 ± 2.07 ng/ml, <i>p</i>
DOI: 10.6084/m9.figshare.13055789
title: Gas chromatography mass spectrometry calibration curves for acetophenone and 1-Phenylethanol

description: Gas chromatography mass spectrometry (GC-MS) is a sensitive technique for the detection of organic compounds from different matrixes. Sensitive to matrix interference, the technique often needs high dilution factor to obtain linear calibration curves useful for downstream analysis. This work presents the GC-MS calibration curves of acetophenone and 1-Phenylethanol obtained with Agilent 5890 GC with 5977B MSD detector. Ethyl acetate was the solvent and diluent for the calibration standards. Temperature programme used was 50 <sup>o</sup>C for 5 min, ramp from 50 <sup>o</sup>C to 120 <sup>o</sup>C at 10 <sup>o</sup>C/min, ramp from 120 <sup>o</sup>C to 280 <sup>o</sup>C at 80 <sup>o</sup>C/min, and hold at 280 <sup>o</sup>C for 3 min. Results indicated that linear calibration curves could not be obtained for both acetophenone and 1-Phenylethanol within the concentration range from 0.1 g/L to 2.0 g/L. Thus, dilution with ethyl acetate was effected, and linear calibration curves with good correlation coefficients could be obtained for acetophenone and 1-Phenylethanol within the concentration range 0.01 g/L to 0.1 g/L. Overall, the calibration effort revealed that GC-MS was prone to signal saturation from detecting acetophenone and 1-Phenylethanol molecular ions at relatively low concentrations of 1-2 g/L, thereby, pushing down the linear calibration range, and making analysis with the technique difficult and more prone to errors from dilution of samples.
DOI: 10.6084/m9.figshare.13054187
title: R0235_20181110a_videos

description: Rat 0235, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13048577
title: statistical analysis

description: statistical analysis
DOI: 10.6084/m9.figshare.13048577.v1
title: statistical analysis

description: statistical analysis
DOI: 10.5517/ccdc.csd.cc24h13t
title: CCDC 1980655: Experimental Crystal Structure Determination

description: Related Article: Alexander K. Mengele, Carolin Müller, Djawed Nauroozi, Stephan Kupfer, Benjamin Dietzek, Sven Rau|2020|Inorg.Chem.|59|12097|doi:10.1021/acs.inorgchem.0c01022
DOI: 10.5517/ccdc.csd.cc24h14v
title: CCDC 1980656: Experimental Crystal Structure Determination

description: Related Article: Alexander K. Mengele, Carolin Müller, Djawed Nauroozi, Stephan Kupfer, Benjamin Dietzek, Sven Rau|2020|Inorg.Chem.|59|12097|doi:10.1021/acs.inorgchem.0c01022
DOI: 10.5517/ccdc.csd.cc24h15w
title: CCDC 1980657: Experimental Crystal Structure Determination

description: Related Article: Alexander K. Mengele, Carolin Müller, Djawed Nauroozi, Stephan Kupfer, Benjamin Dietzek, Sven Rau|2020|Inorg.Chem.|59|12097|doi:10.1021/acs.inorgchem.0c01022
DOI: 10.5517/ccdc.csd.cc265smt
title: CCDC 2031356: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Constantin-Gabriel Daniliuc, Elena Fodor, M. Heiko Franz, Ion Neda|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc265sy4
title: CCDC 2031366: Experimental Crystal Structure Determination

description: Related Article: Frank R. Fronczek|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc265x1c
title: CCDC 2031462: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, M.R.J. Elsegood, M.A. Echevarria|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc265x2d
title: CCDC 2031463: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.A. Coxall|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc265xdq
title: CCDC 2031473: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, M.R.J. Elsegood, M.A. Echevarria|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc265xfr
title: CCDC 2031474: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.A. Coxall|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc265xkw
title: CCDC 2031478: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.A. Coxall|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc265xmy
title: CCDC 2031480: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, M.R.J. Elsegood, M.A. Echevarria|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc265xnz
title: CCDC 2031481: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, M.R.J. Elsegood, M.A. Echevarria|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc265xq1
title: CCDC 2031483: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.A. Coxall|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc265xr2
title: CCDC 2031484: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, M.A. Echevarria|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc265xs3
title: CCDC 2031485: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, M.R.J. Elsegood|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc265xt4
title: CCDC 2031486: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, M.R.J. Elsegood|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc265xv5
title: CCDC 2031487: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, M.R.J. Elsegood|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc265xw6
title: CCDC 2031488: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, M.R.J. Elsegood|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc265xy8
title: CCDC 2031490: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, M.A. Echevarria|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc265xz9
title: CCDC 2031491: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, M.R.J. Elsegood, M.A. Echevarria|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc265y0c
title: CCDC 2031492: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, M.R.J. Elsegood|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc265y1d
title: CCDC 2031493: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, M.R.J. Elsegood|2020|CSD Communication|||