cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3829899.v1
title: A novel approach for extracting viscoelastic parameters of living cells through combination of inverse finite element simulation and Atomic Force Microscopy

description: Dynamic mechanical behaviour of living cells has been described by viscoelasticity. However, quantitation of the viscoelastic parameters for living cells is far from sophisticated. In this paper, combining inverse finite element (FE) simulation with Atomic Force Microscope characterization, we attempt to develop a new method to evaluate and acquire trustworthy viscoelastic index of living cells. First, influence of the experiment parameters on stress relaxation process is assessed using FE simulation. As suggested by the simulations, cell height has negligible impact on shape of the force–time curve, i.e. the characteristic relaxation time; and the effect originates from substrate can be totally eliminated when stiff substrate (Young’s modulus larger than 3 GPa) is used. Then, so as to develop an effective optimization strategy for the inverse FE simulation, the parameters sensitivity evaluation is performed for Young’s modulus, Poisson’s ratio, and characteristic relaxation time. With the experiment data obtained through typical stress relaxation measurement, viscoelastic parameters are extracted through the inverse FE simulation by comparing the simulation results and experimental measurements. Finally, reliability of the acquired mechanical parameters is verified with different load experiments performed on the same cell.
DOI: 10.7910/dvn/v1rjpf/pyc8so
title: iqa20160113_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3829896
title: Muridae from the late Miocene site of Venta del Moro (Eastern Spain)

description: Murids are usually the dominant faunas of the late Miocene and early Pliocene micromammal assemblages. The present work deals with the murid faunas of the well-known late Miocene locality of Venta del Moro, comprising over 2700 molars ascribed to the taxa <i>Apodemus gorafensis</i>, <i>Occitanomys alcalai</i>, <i>Paraethomys meini</i> and <i>Stephanomys dubari</i>. This list differs from those of previous studies by the presence of <i>A. gorafensis</i> instead of <i>A. gudrunae</i>. The presence of <i>A. gudrunae</i> in younger localities than Venta del Moro implies that both species, considered ancestor and descendant, coexisted for some time. In addition, the analysis of such an extensive collection has allowed us to check the variability of the studied species in great detail, such as the development of the longitudinal connections of <i>O. alcalai</i>, to a greater extent than previously described. Finally, we discuss the biometrical changes of the lineages of <i>Paraethomys</i> in Southern Europe from MN13 to MN15, and hypothesize about the mechanisms behind these variations in size.
DOI: 10.6084/m9.figshare.3829896.v1
title: Muridae from the late Miocene site of Venta del Moro (Eastern Spain)

description: Murids are usually the dominant faunas of the late Miocene and early Pliocene micromammal assemblages. The present work deals with the murid faunas of the well-known late Miocene locality of Venta del Moro, comprising over 2700 molars ascribed to the taxa <i>Apodemus gorafensis</i>, <i>Occitanomys alcalai</i>, <i>Paraethomys meini</i> and <i>Stephanomys dubari</i>. This list differs from those of previous studies by the presence of <i>A. gorafensis</i> instead of <i>A. gudrunae</i>. The presence of <i>A. gudrunae</i> in younger localities than Venta del Moro implies that both species, considered ancestor and descendant, coexisted for some time. In addition, the analysis of such an extensive collection has allowed us to check the variability of the studied species in great detail, such as the development of the longitudinal connections of <i>O. alcalai</i>, to a greater extent than previously described. Finally, we discuss the biometrical changes of the lineages of <i>Paraethomys</i> in Southern Europe from MN13 to MN15, and hypothesize about the mechanisms behind these variations in size.
DOI: 10.7910/dvn/v1rjpf/yvkhc7
title: iqa20151112_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3829881
title: BIOL 2050, Lab 1 Dataset on the correlation between Gender and Hair Colour

description: For this dataset, 20 people were observed at York University's Keele Campus. Two variables were considered: gender and hair colour. Gender was biologically determined. Hair colour was determined by pigmentation as seen by the naked eye. If multiple colours were present, the the colour of the majority of the hair colour was recorded, meaning highlights and such were ignored.
DOI: 10.7910/dvn/v1rjpf/jiyhlv
title: iqa20161126_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/vtvt21
title: iqa20150621_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/hmlicm
title: iqa20160706_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3829881.v1
title: BIOL 2050, Lab 1 Dataset on Gender and Hair Colour.csv

description: Gender: Biologically determinedHair Colour: determined by pigmentation as seen by the naked eye
DOI: 10.7910/dvn/v1rjpf/ypxkbo
title: iqa20160609_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/luqaqq
title: iqa20151025_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3829881.v3
title: BIOL 2050, Lab 1 Dataset on the correlation between Gender and Hair Colour

description: For this dataset, 20 people were observed at York University's Keele Campus. Two variables were considered: gender and hair colour. Gender was biologically determined. Hair colour was determined by pigmentation as seen by the naked eye. If multiple colours were present, the the colour of the majority of the hair colour was recorded, meaning highlights and such were ignored.
DOI: 10.6084/m9.figshare.3829881.v2
title: BIOL 2050, Lab 1 Dataset on Gender and Hair Colour

description: Gender: Biologically determinedHair Colour: determined by pigmentation as seen by the naked eye
DOI: 10.7910/dvn/v1rjpf/oxe5dy
title: iqa20150708_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/jybtyt
title: iqa20150413_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/qxyy8q
title: iqa20151201_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3829851
title: Introductory Ecology Lab

description: In this introductory lab exercise we collected data of two variables for a set of 20 individuals; one which is the presence of denim bottoms and the second the sex of the individual. No special tool/material was used for this lab.<br>Variable:<br>Presence of Denim: Only denim pants were considered, regardless of colour and/or length. Y= Yes, N=No<br>Sex:M= Male, F=Female
DOI: 10.7910/dvn/v1rjpf/o71wf4
title: iqa20150327_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/kucqzo
title: iqa20160912_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3829851.v2
title: Introductory Ecology Lab

description: In this introductory lab exercise we collected data of two variables for a set of 20 individuals; one which is the presence of denim bottoms and the second the sex of the individual. No special tool/material was used for this lab.<br>Variable:<br>Presence of Denim: Only denim pants were considered, regardless of colour and/or length. Y= Yes, N=No<br>Sex:M= Male, F=Female
DOI: 10.7910/dvn/v1rjpf/ste1ik
title: iqa20150729_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3829851.v1
title: Lab 1.csv

description: In this introductory lab exercise we collected data of two variables for a set of 20 individuals; one which is the presence of denim bottoms and the second the sex of the individual. No special tool/material was used for this lab.<br>Variable:<br>Presence of Denim: Only denim pants were considered, regardless of colour and/or length. Y= Yes, N=No<br>Sex:M= Male, F=Female
DOI: 10.6084/m9.figshare.3829839
title: metadata week 1.xlsx

description: Hypothesis: Determine if the students are wearing their favourite colour on either his/her pants or shirt. Prediction: Observe if colour preference would match their colour choices on what they wear.Methods: conduct experiment by asking around each student their favourite colour and the colour of their pants or shirt.<br><br>
DOI: 10.7910/dvn/v1rjpf/ivu0hp
title: iqa20160519_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3829839.v1
title: metadata week 1.xlsx

description: Hypothesis: Determine if the students are wearing their favourite colour on either his/her pants or shirt. Prediction: Observe if colour preference would match their colour choices on what they wear.Methods: conduct experiment by asking around each student their favourite colour and the colour of their pants or shirt.<br><br>
DOI: 10.6084/m9.figshare.3829836
title: EXCEL.xlsx

description: Method: We asked 20 students in BIO2050 ecology Lab 03 and the TA Amanda on question referring to the 3 factors within the study. <br><br>Hypothesis: Females with dark hair have more visual aid issues than females with light hair and/or males with light hair and males with dark hair due to link between dominant alleles and vision. <br><br>Prediction: <br>1) Females require visual aids more than males<br>2) Females with darker hair require more visual aids than females with lighter hair <br><br>
DOI: 10.7910/dvn/v1rjpf/uzrrtg
title: iqa20160705_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/min71o
title: iqa20161020_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3829833
title: CC1.xlsx

description: Hypothesis: Males tend to have the same hair and eye color among eye and hair having individuals.<br>Methods and materials: Twenty individuals were verbally asked about their hair color, eye color and gender in the ecology lab in Lumbers 118. Their responses were recorded in a Microsoft excel spreadsheet.<br>We preformed this survey in order to find the correlation between hair color, eye color and gender. According to the information gathered males tend to have the same hair and eye color compared to other gender identities.
DOI: 10.7910/dvn/v1rjpf/brngkv
title: iqa20151017_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3829830
title: Ecology Lab 1 Dataset.xlsx

description: Methods: We asked the test subjects for their gender, and determined their natural eye colour and hair colour based on our own observations. <br>Hypotheses: We predict that hair colour affects eye colour because the gene that codes for hair colour also codes for eye colour, so the two traits are related.We predict that more males have dark eyes than females because the testosterone levels in the body induce the coding of dark eye colour.
DOI: 10.7910/dvn/v1rjpf/hr3pae
title: iqa20150808_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/vljsgf
title: iqa20160923_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3829830.v1
title: Ecology Lab 1 Dataset.xlsx

description: Methods: We asked the test subjects for their gender, and determined their natural eye colour and hair colour based on our own observations. <br>Hypotheses: We predict that hair colour affects eye colour because the gene that codes for hair colour also codes for eye colour, so the two traits are related.We predict that more males have dark eyes than females because the testosterone levels in the body induce the coding of dark eye colour.
DOI: 10.7910/dvn/v1rjpf/3dnqd4
title: iqa20150329_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3829824
title: The influence of major types on the preference of movie genres

description: Data was collected by asking 19 people their age in years, their choice of program at York University, and their preferred movie genre. Answers were trusted in full no proof or documentation needed. <br>Hypothesis: The age and major of a university student affects the choice of movies they watch because their maturity and choice of study reflects their general interests. <br>Predictions: It is expected that a science-based major will have more interest in Sci-fi movies than any other genre. It is expected that students over the age of 21 will show more of an interest in action movies.
DOI: 10.7910/dvn/v1rjpf/and5ao
title: iqa20160724_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/swdl6n
title: iqa20150204_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/ehjnob
title: iqa20161229_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/tx9tv8
title: iqa20150210_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3829824.v1
title: practice data.xlsx

description: Data was collected by asking 19 people their age in years, their choice of program at York University, and their preferred movie genre. Answers were trusted in full no proof or documentation needed. <br>Hypothesis: The age and major of a university student affects the choice of movies they watch because their maturity and choice of study reflects their general interests. <br>Predictions: It is expected that a science-based major will have more interest in Sci-fi movies than any other genre. It is expected that students over the age of 21 will show more of an interest in action movies.
DOI: 10.6084/m9.figshare.3829821
title: MALE AND FEMALE THAT HAVE INSTAGRAM ACCOUNT

description: GENDER- STATE OF BEING MALE OR FEMALEINSTAGRAM- A SOCIAL MEDIA APPLICATION THAT ENABLES ITS USERS TO SHARE A PHOTO OR A VIDEO.
DOI: 10.7910/dvn/v1rjpf/paaefs
title: iqa20150107_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3829821.v1
title: MALE AND FEMALE THAT HAVE INSTAGRAM ACCOUNT

description: GENDER- STATE OF BEING MALE OR FEMALEINSTAGRAM- A SOCIAL MEDIA APPLICATION THAT ENABLES ITS USERS TO SHARE A PHOTO OR A VIDEO.
DOI: 10.6084/m9.figshare.3829818
title: ecology lab 1 phone preference.xlsx

description: Methods: The data was collected via verbal survey, students were asked their gender, age and preference of smart phones. <br>Hypothesis: It is hypothesized that the older individuals would prefer androids over iphone because they would be able to maximize the complex features of android and males would also prefer android because of its affordable and durable features. <br>Prediction 1: Females prefer iPhone. Prediction 2: Older students prefer Android. <br>
DOI: 10.7910/dvn/v1rjpf/zibgfx
title: iqa20150802_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3829818.v1
title: ecology lab 1 phone preference.xlsx

description: Methods: The data was collected via verbal survey, students were asked their gender, age and preference of smart phones. <br>Hypothesis: It is hypothesized that the older individuals would prefer androids over iphone because they would be able to maximize the complex features of android and males would also prefer android because of its affordable and durable features. <br>Prediction 1: Females prefer iPhone. Prediction 2: Older students prefer Android. <br>
DOI: 10.6084/m9.figshare.3829809
title: BIOL2050 Lab 1: Relationship Between Gender and Hair Colour Dataset

description: Gender- biologically determinedHair colour- determined by pigmentation as seen by the naked eye
DOI: 10.7910/dvn/v1rjpf/uzyeb0
title: iqa20150123_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/5lei9c
title: iqa20150705_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3829809.v1
title: BIOL2050 Lab 1.csv

description: Gender- biologically determinedHair colour- determined by pigmentation as seen by the naked eye
DOI: 10.7910/dvn/v1rjpf/e9j4xh
title: iqa20150910_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3829809.v2
title: BIOL2050 Lab 1: Relationship between Gender and Hair Colour Dataset

description: Gender- biologically determinedHair colour- determined by pigmentation as seen by the naked eye
DOI: 10.6084/m9.figshare.3829806
title: Workbook1.csv

description: Variable Description <br>Gender Male or Female<br><br>Glasses Y(Yes) or N(NO)<br><br>
DOI: 10.7910/dvn/v1rjpf/ianijn
title: iqa20150721_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3829806.v1
title: Workbook1.csv

description: Variable Description <br>Gender Male or Female<br><br>Glasses Y(Yes) or N(NO)<br><br>
DOI: 10.6084/m9.figshare.3829800
title: Parking lot Car Data

description: Variables:Colour: The paint colour of the car.Company: The company that produced the car.
DOI: 10.7910/dvn/v1rjpf/isxneq
title: iqa20160722_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3829797
title: Car Data

description: Variables:Car Company: Company that designed and created the carCar Colour: Paint job of the car
DOI: 10.7910/dvn/v1rjpf/lddnls
title: iqa20160814_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/ezfhfb
title: iqa20161109_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3829791
title: Ecology 2050 1.csv

description: Variable Description Presence of Denim Denim pants only regardless of colour or length. Y = yes and N = No Sex F = Female and M = Male
DOI: 10.7910/dvn/v1rjpf/acbnm3
title: iqa20160112_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3829791.v1
title: Ecology 2050 1.csv

description: Variable Description Presence of Denim Denim pants only regardless of colour or length. Y = yes and N = No Sex F = Female and M = Male
DOI: 10.7910/dvn/v1rjpf/wjdify
title: iqa20150306_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/tudywe
title: iqa20161115_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3829695
title: Updated South African Cropland 2013-2015

description: This dataset is an updated version of the cropland extent of South Africa derived from multi-sensor Landsat data and an outdated land cover map (National Land Cover 2000, also attached).
DOI: 10.7910/dvn/v1rjpf/nc38sf
title: iqa20161014_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/mtmyi7
title: iqa20161102_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3829695.v1
title: Updated South African Cropland 2013-2015

description: This dataset is an updated version of the cropland extent of South Africa derived from multi-sensor Landsat data and historical land cover data (National Land Cover 2000).
DOI: 10.7910/dvn/v1rjpf/izl0cz
title: iqa20150612_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/kitakn
title: iqa20150508_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3829695.v2
title: Updated South African Cropland 2013-2015

description: This dataset is an updated version of the cropland extent of South Africa derived from multi-sensor Landsat data and historical land cover data (National Land Cover 2000).
DOI: 10.6084/m9.figshare.3829695.v4
title: Updated South African Cropland 2013-2015

description: This dataset is an updated version of the cropland extent of South Africa derived from multi-sensor Landsat data and an outdated land cover map (National Land Cover 2000, also attached).
DOI: 10.7910/dvn/v1rjpf/adr4ek
title: iqa20161227_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3829695.v3
title: Updated South African Cropland 2013-2015

description: This dataset is an updated version of the cropland extent of South Africa derived from multi-sensor Landsat data and historical land cover data (National Land Cover 2000).
DOI: 10.7910/dvn/v1rjpf/cu6qel
title: iqa20150821_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/pu7w7j
title: iqa20160924_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/f97gbf
title: iqa20150311_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/aysrxp
title: iqa20150714_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/t2vy1k
title: iqa20150904_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/qrjznh
title: iqa20160919_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/qfvref
title: iqa20150403_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/8tlagx
title: iqa20150822_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/a8shmt
title: iqa20150722_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/rgjqrk
title: iqa20150827_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3827589
title: α-Glucosidase inhibitory activity, molecular docking, QSAR and ADMET properties of novel 2-amino-phenyldiazenyl-4<i>H</i>-chromene derivatives

description: α-Glucosidase inhibitory activity, molecular docking, QSAR and ADMET properties of novel 2-amino-phenyldiazenyl-4<i>H</i>-chromene derivatives
DOI: 10.6084/m9.figshare.3827589.v1
title: α-Glucosidase inhibitory activity, molecular docking, QSAR and ADMET properties of novel 2-amino-phenyldiazenyl-4<i>H</i>-chromene derivatives

description: α-Glucosidase inhibitory activity, molecular docking, QSAR and ADMET properties of novel 2-amino-phenyldiazenyl-4<i>H</i>-chromene derivatives
DOI: 10.7910/dvn/v1rjpf/olcgzk
title: iqa20150513_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/vmouem
title: iqa20161119_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/tm32gq
title: iqa20150211_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3827496
title: Comparable dose estimates of blinded whole blood samples are obtained independently of culture conditions and analytical approaches. Second RENEB gene expression study

description: <b>Purpose:</b> This collaboration of five established European gene expression labs investigated the potential impact of culture conditions on the transcriptional response of peripheral blood to radiation exposure. <b>Materials and methods:</b> Blood from one healthy donor was exposed ex vivo to a Cobalt 60 source to produce a calibration curve in addition to four unknown doses. After exposure, the blood samples were either diluted with RPMI medium or left untouched. After 24-h incubation at 37 °C the diluted blood samples were lysed, while the undiluted samples were mixed with the preservative RNALater and all samples were shipped frozen to the participating labs. Samples were processed by each lab using microarray (one lab) and QRT-PCR (four labs). <b>Results:</b> We show that although culture conditions affect the total amount of RNA recovered (<i>p</i> p p = .9) and number of out of range (&gt;0.5 Gy) measurements (<i>p</i> = .6). <b>Conclusion:</b> This study confirms the robustness of gene expression as a method for biological dosimetry.
DOI: 10.7910/dvn/v1rjpf/bveaiy
title: iqa20151103_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3827496.v1
title: Comparable dose estimates of blinded whole blood samples are obtained independently of culture conditions and analytical approaches. Second RENEB gene expression study

description: <b>Purpose:</b> This collaboration of five established European gene expression labs investigated the potential impact of culture conditions on the transcriptional response of peripheral blood to radiation exposure. <b>Materials and methods:</b> Blood from one healthy donor was exposed ex vivo to a Cobalt 60 source to produce a calibration curve in addition to four unknown doses. After exposure, the blood samples were either diluted with RPMI medium or left untouched. After 24-h incubation at 37 °C the diluted blood samples were lysed, while the undiluted samples were mixed with the preservative RNALater and all samples were shipped frozen to the participating labs. Samples were processed by each lab using microarray (one lab) and QRT-PCR (four labs). <b>Results:</b> We show that although culture conditions affect the total amount of RNA recovered (<i>p</i> p p = .9) and number of out of range (&gt;0.5 Gy) measurements (<i>p</i> = .6). <b>Conclusion:</b> This study confirms the robustness of gene expression as a method for biological dosimetry.
DOI: 10.7910/dvn/v1rjpf/lcyzto
title: iqa20151116_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/sp8lwr
title: iqa20160815_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3827331
title: Nest contents count data for Aztec Zawn, Lundy, 2015 and 2016

description: <br>This is an Excel file with data from 2015 and 2016 collected by three observers. Notes are on the first sheet explaining the data and who the observers are. But, the data is basically clutch size data collected using methods outlined in Dickins, T.E. (2016.) Average clutch size for a Kittiwake <i>Rissa tridactyla</i> colony on Lundy. Devon Birds, 69 (1), 7-13. This paper reports on the 2015 data.<br>Please note that the nest codes for 2015 and 2016 are different, such that nest 1 in 2015 is not nest 1 in 2016 and so forth. This is due to changes in colony structure.
DOI: 10.7910/dvn/v1rjpf/ibciu8
title: iqa20150118_03.txt.gz

description: :unav