cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1564779
title: Ecology week 4 Lab : Number of insects captured and Number of RTUs within 3 Different Coloured Pan Traps in Grasslands and Woodlot

description: The purpose of this lab was to collect 4 data sets to familiarize yourself with sampling tools and publishing datasets individually. I was responsible for the pan trap data set. My partners Krystal and Sumera were responsible for the distance based data set and quadrat data set. Mustafa and I worked hand in hand for my personal data set and his whichb was the sweep net data set. Our discussion of the lab took place in room 118 of the Lumbars building at York University on Monday September 28th 2015 at 2:30pm. We then proceeded to the Danby woodlot also located at york Univeristy. It was a rainy and cloudy day with winds at 10km/h a 2 on the beaufort scale and 18 degrees celsius. For the pan trap data set the materials needed were 20 bowls, 10 for the woodlot and 10 for the grassland located behind the woodlot. We also needed a pair of tweezers and small strainer (this is used to sort the insects in data collection). I strategically placed the bowls alternating colours in a straight line, 6 steps between each on the edge of the grassland and in the woodlot from the centre clearing into the heavy wooded area. There were 4 yellow bowls, 3 white bowls and 3 blue bowls per grassland and woodlot. Each bowl was filled with soapy water and placed on in its chosen position at approximately 3:15pm. Giving an hour gap to make sure there was time for insects to find their way into the bowl. Whilst waiting through that hour I helped Mustafa contiue his sweepnet data set. After an hour had passed my whole group went to observe and collect the data from each bowl, we siffed the soapy water through the strainer and used the tweezers to pick up each insect individual. I then noted what colour bowl it was, how many insects were found in the bowl total and how many RTU’s which is the recgonizable taxanomic units could be distinguished. This was repeated for each bowl in both the grassland and woodlot. We then emptied the bowls collected the materials and made our way back to room 118 lumbars building. The data was then placed in an excel file and uploaded to figshare.
DOI: 10.6084/m9.figshare.1564782
title: Real data in paper "Association Tests of Multiple Phenotypes: ATeMP"

description: The real data used in paper " Association Tests of Multiple Phenotypes: ATeMP ". Please refer to the original paper for detailed data description
DOI: 10.6084/m9.figshare.1564848.v3
title: WK4 Lab 3 - Abundance of Species in Danby Woods - Dataset 1

description: This study of species' abundance in Danby Woods of York Univerisity was conducted by myself and three other group members including Alexandra, Khaula and Houra from BIOL 2050 Ecology Lab 02 on September 29, 2015. It was a cloudy day and it started pouring heavily a while after we started the experiment around 2:45pm. When we finished at 4:30pm, it was still raining. The purpose of this lab was to study the abundance of different species in the grassland and woodlot of Danby Woods in York University. An 1 inch x 1 inch quadrat was randomly placed on the ground and we recorded the number of different species within the quadrat. The same procedure was repeated 10 times in the grassland area and 10 times in the woodlot. Identified species included ants, flies, beeltes, grasshoppers and moths. However, the total number of the insects found was very small due to the rainy weather.
DOI: 10.6084/m9.figshare.1564771
title: The Insect abundance in the Woodlot and Grassland

description: The purpose of this experiement was to see the attractiveness of species towards a certain colored bowls.Two Lab partners studied the abundance of the insects on the grassland (Stong Pond) and Woodlot (Saywell Woods) at York University. 18 coulorful bowls (white,blue and yellow) were placed along a transect 3m apart from each bowls, (9 bowls at each locations). A certain amount of solution was filled into the bowls to trap the insects. They were kept in there for an hour and then the bowls were studied for the trapped insects. The abundace (number of insects trapped) and the richness (different species) were distinguished on both the habitats.Grassland had more abundance and richness in the species than the woodlot. The weather was little windy and it was raining early in the morning.
DOI: 10.6084/m9.figshare.1564796.v2
title: The Frequency and Richness of Bird Species in Saywell Woodlot and Stong Pond Grasslands at York University (Keele Campus)

description: All bird species were observed on September 28. 2015. The weather was 22 degrees celcius with an overcast (cloudy) day after a rainfall. The barometer read 101.76 kPa, and the windspeed was 15 Km/hour SSW. All birds were observed and counted either near the Stong Pond grassland or, in or near the Saywell Woodlot. Five specific sites within each of these two habitats were chosen randomly with no particular procedure/protocol. In all 10 sites, a transect measuring 50 meters by 50 meters wide and a height of unlimited (to the sky), were set as parameters. Any individual bird that entered these parameters was counted and recorded in the dataset, distance from the transect was not taken into consideration. The total sum of the number of individuals of each species observed was recorded as the “Frequency of # of Birds”, and the total number of species was recorded as the “Richness of Bird Species”. All observations were made using a pair of binoculars, and by walking around the parameters of the transects for 5 minutes.
DOI: 10.6084/m9.figshare.1564782.v1
title: Real data in paper "Association Tests of Multiple Phenotypes: ATeMP"

description: The real data used in paper " Association Tests of Multiple Phenotypes: ATeMP ". Please refer to the original paper for detailed data description
DOI: 10.6084/m9.figshare.1564808.v1
title: Grassland, Dataset #3 - Surveying the Insect Abundance and Different RTU

description: The data was collected at the grassland of York University Campus on Wednesday, September 30, 2015 at 3:30 pm to 4:45 pm contributed by J.Quach, I. Darman and Amin A. As a group, sections of the grassland must be decided on and received a group consensus with careful consideration before starting the investigation. Once that is completed, a transect measuring tape will be used to determine a distance of 10 metres and serves the purpose of setting limits and precise measurement for each replicate. For every metre on the transect measuring tape, an attempt is performed and can be totaled up to 10 attempts (or 1 replicate for a total of 100 metres covered in 10 replicates). One group member was in charged of recording the data, another member needed for using the sweep net to capture the data and one more member or two to count the insect abundance and total number of RTUs within the sweep net by visual observation. Each group member swapped roles to get an opportunity of using the sweep net and to see a definite deviation in data. More replicates were required to see a variation in species and to get an accurate reading of certain areas of the grassland. The sweep net method is generally used to determine whether pesticides are necessary in case of an pest infestation on crops, but for this experiment, it is useful for locating certain RTU's, and whether most of the essential insect groups are present in the grasslands.
DOI: 10.6084/m9.figshare.1564771.v1
title: The Insect abundance in the Woodlot and Grassland

description: The purpose of this experiement was to see the attractiveness of species towards a certain colored bowls.Two Lab partners studied the abundance of the insects on the grassland (Stong Pond) and Woodlot (Saywell Woods) at York University. 18 coulorful bowls (white,blue and yellow) were placed along a transect 3m apart from each bowls, (9 bowls at each locations). A certain amount of solution was filled into the bowls to trap the insects. They were kept in there for an hour and then the bowls were studied for the trapped insects. The abundace (number of insects trapped) and the richness (different species) were distinguished on both the habitats.Grassland had more abundance and richness in the species than the woodlot. The weather was little windy and it was raining early in the morning.
DOI: 10.6084/m9.figshare.1564796.v1
title: The Frequency and Richness of Bird Species in Saywell Woodlot and Stong Pond grasslands at York University

description: All bird species were observed on September 28. 2015. The weather was 22 degrees celcius with an overcast (cloudy) day after a rainfall. The barometer read 101.76 kPa, and the windspeed was 15 Km/hour SSW. All birds were observed and counted either near the Stong Pond grassland or, in or near the Saywell Woodlot. Five specific sites within each of these two habitats were chosen randomly with no particular procedure/protocol. In all 10 sites, a transect measuring 50 meters by 50 meters wide and a height of unlimited (to the sky), were set as parameters. Any individual bird that entered these parameters was counted and recorded in the dataset, distance from the transect was not taken into consideration. The total sum of the number of individuals of each species observed was recorded as the “Frequency of # of Birds”, and the total number of species was recorded as the “Richness of Bird Species”. All observations were made using a pair of binoculars, and by walking around the parameters of the transects for 5 minutes.
DOI: 10.6084/m9.figshare.1564750
title: Biodiversity of Organisms Found in York Grassland and Woodlots

description: This experiment took place on Monday, September 28/2015 between 3:00 and 5:00pm. The weather consisted of clouded skies and small breezes and the temperature was 21 degrees celsius. The purpose of this study was to discover the abundance of different animals that can be found in both the Saywell Woodlot and Stong Pond Grassland at York University. This experiment was conducted by placing a 1 by 1 metre quadrat at each location and spending 2 minutes counting the amount of animals found within the quadrat. Then, to ensure randomness, the experimentor took a repating pattern of 5,10,15 steps in a systematic north,south,east,west pattern. Each location was sampled ten times and the organisms were sorted by abundance and RTUs that the experimentor was able to distinguish from.
DOI: 10.6084/m9.figshare.1564752
title: Sperm Proteome Maturation in the Mouse Epididymis

description: Mass Spectra Data Files: Samples consisted of intact epididymides that were harvested from five euthanized adult male mice (Mus musculus). Each epididymis was then defatted, separated from the testis and vas deferens and cut into three segments, corresponding to the caput, corpus, and cauda epididymis, based on morphological analysis. The sperm from each tissue segment were then purified using repeated rounds of centrifugation and pellet resuspension, solubilized in SDS, and ran on a 1-dimensional SDS-PAGE for in-gel digestion. Extracted peptides were analyzed by nanoflow reverse phase liquid chromatography using a nanoAcquity LC system (Waters) coupled in-line with the linear trap quadrupole (LTQ) Orbitrap Velos instrument (Thermo Fisher Scientific). Mass spectrometry data were collected with the instrument operating in data dependent MS/MS mode and analysed using X!Tandem (The GPM; version 2009.10.01.1) searched against the NCBI Mus musculus protein fasta file (dated 3/4/2011, with 29617 entries). X!Tandem was searched with a fragment ion mass tolerance of 0.50Da and a parent ion tolerance of 2.0Da. Iodoacetamide derivative of cysteine was specified as a fixed modification, while oxidation of methionine was specified as a variable modification.
DOI: 10.6084/m9.figshare.1564808.v2
title: Grassland, Dataset #3 - Surveying the Insect Abundance and Different RTU's

description: The data was collected at the grassland of York University Campus on Wednesday, September 30, 2015 at 3:30 pm to 4:45 pm contributed by J.Quach, I. Darman and Amin A. As a group, sections of the grassland must be decided on and received a group consensus with careful consideration before starting the investigation. Once that is completed, a transect measuring tape will be used to determine a distance of 10 metres and serves the purpose of setting limits and precise measurement for each replicate. For every metre on the transect measuring tape, an attempt is performed and can be totaled up to 10 attempts (or 1 replicate for a total of 100 metres covered in 10 replicates). One group member was in charged of recording the data, another member needed for using the sweep net to capture the data and one more member or two to count the insect abundance and total number of RTUs within the sweep net by visual observation. Each group member swapped roles to get an opportunity of using the sweep net and to see a definite deviation in data. More replicates were required to see a variation in species and to get an accurate reading of certain areas of the grassland. The sweep net method is generally used to determine whether pesticides are necessary in case of an pest infestation on crops, but for this experiment, it is useful for locating certain RTU's, and whether most of the essential insect groups are present in the grasslands.
DOI: 10.6084/m9.figshare.1564746
title: Sweep net data from Stong Pond gassland

description: This study was conducted to observe the diversity of insects in the York University Stong Pond grasslands. To do this, a transect was laid out in ten randomly seleted places. A sweep net was used to sweep 50 centimetres on either side of the transect (belt transect) for eight metres for approximately one minute. At the end of each sweep, the organisms caught in the net were counted, along with the number of recognizable taxonomic units (RTUs), and then set free in roughly the same location they were caught. Starting locations for each replicate were randomized by turning 30 degrees to the right and taking 10 steps from the starting location of the previous transect's starting point. The study was done on September 28th, 2015. It was approximately 20 degrees celsius and there was a light breeze. Earlier in the day there had been rain and the sky was still overcast.
DOI: 10.6084/m9.figshare.1564748
title: too many files, delete me

description: Model data from the case study on MPA design for Atlantic Cod generated by: http://dx.doi.org/10.6084/m9.figshare.1556143 Please unzip shapefiles folder before trying to reproduce analysis
DOI: 10.6084/m9.figshare.1564750.v1
title: Biodiversity of Organisms Found in York Grassland and Woodlots

description: This experiment took place on Monday, September 28/2015 between 3:00 and 5:00pm. The weather consisted of clouded skies and small breezes and the temperature was 21 degrees celsius. The purpose of this study was to discover the abundance of different animals that can be found in both the Saywell Woodlot and Stong Pond Grassland at York University. This experiment was conducted by placing a 1 by 1 metre quadrat at each location and spending 2 minutes counting the amount of animals found within the quadrat. Then, to ensure randomness, the experimentor took a repating pattern of 5,10,15 steps in a systematic north,south,east,west pattern. Each location was sampled ten times and the organisms were sorted by abundance and RTUs that the experimentor was able to distinguish from.
DOI: 10.6084/m9.figshare.1564746.v1
title: Sweep net data from Stong Pond gassland

description: This study was conducted to observe the diversity of insects in the York University Stong Pond grasslands. To do this, a transect was laid out in ten randomly seleted places. A sweep net was used to sweep 50 centimetres on either side of the transect (belt transect) for eight metres for approximately one minute. At the end of each sweep, the organisms caught in the net were counted, along with the number of recognizable taxonomic units (RTUs), and then set free in roughly the same location they were caught. Starting locations for each replicate were randomized by turning 30 degrees to the right and taking 10 steps from the starting location of the previous transect's starting point. The study was done on September 28th, 2015. It was approximately 20 degrees celsius and there was a light breeze. Earlier in the day there had been rain and the sky was still overcast.
DOI: 10.6084/m9.figshare.1564739
title: WEEK 4: Dataset 1 - Using a quadrat to determine RTUs

description: Description The experiment was conducted on Monday September 28nd at approximately 3:45 pm until 5:00. All the data was collected in the woodlot and corresponds to dataset 1. It was cloudly, windy and humid. The temperature was around 20 degrees celcius. Materials: Quadrat, 1m by 1m Method: 20 quadrats were used in total, 10 to be placed in the grassland and 10 to be placed in the woodlot. The selection of each quadrat in the habitat was randomized by first selecting a location and then the next one would be located 1.5 meters north to the previous location where the quadrat was placed. The quadrat was left in place for a duration of 2 minutes. After the desired time elapsed 2 minutes were spent counting the insects within the quadrat. The recognizable RTUs include dragonflies, mayflies, grasshoppers,bugs,butterflies,moths beetles, flies, ants, wasps, bees and spider.
DOI: 10.6084/m9.figshare.1564740
title: Pan Trap Dataset

description: The experiment was conducted on September 29, 2015 in the Danby Woodlots and Danby Grasslands on the York University Keele Campus between 2:50pm-4:30pm in collaboration with Naduni, Bryson and Stanley. The experiment was conducted on a rainy, gloomy day with an overcast and an external temperature of 17°C. The purpose of this experiment is to get field training using sampling techniques, such as pan traps, in order to estimate animal abundances. The study was conducted by organizing the solo bowls into groups of three with 1 white, 1 yellow and 1 blue bowl in each group. I then filled each bowl with enough soapy water such that the base of the bowl was filled with a thin layer of soapy water so that if any insects did fall into the pan trap, they would be unable to escape from the pan trap. I then placed 3 groups of bowls randomly throughout the Danby Woodlot, as well as another 3 groups of bowls randomly in the Danby Grassland. Within each group, I placed the three bowls in a triangular position with the bowls spread apart 30 centimeters equally from each other. I finished placing the bowls by around 3:10pm, I then waited one hour to allow the pan traps to trap insects. While waiting for an hour, I assisted my collaborators with their respective experiments. After waiting for an hour, I first went to the Woodlot and observed the results of my pan traps. I closely observed the contents of each bowl within the 3 groups scattered across the Danby Woodlot and counted the number of total insects caught within each bowl, the number of RTU’s caught within each bowl and classified the unique RTU’s. I was only able to count the captured insects if they were large enough to be seen with the naked eye. After collecting my data, I poured the soapy water out of each bowl and collected all the bowls. I then proceeded to the Danby Grasslands to repeat the same process of data tabulation. The average number of insects caught among all the pan traps was 1.6. The average number of insects caught among the blue pan traps was 1.0. The average number of insects caught among the white pan traps is 1.2. The average number of insects caught among the yellow pan traps was 2.5. The most common RTU caught was flies and the least common RTU caught was ants.
DOI: 10.6084/m9.figshare.1564745
title: Slovenia's Gross Domestic Expenditure on R&D By Sector and Field (2007-2013)

description: The attached files include: A data set that describes Slovenia's Gross Domestic Expenditure on R&D between 2007-2013 (the only time frame the data is currently available for). A R script to produce a plot which shows spending by sector (the sector that spent the money) and the field of science (broadly) they spent their funds on. The final plot. The R script is heavily commented and includes links to the original data source, and descriptions of why things are done. It is very simple!
DOI: 10.6084/m9.figshare.1564748.v1
title: Bioeconomic MPA network design - Cod case study output

description: Model data from the case study on MPA design for Atlantic Cod generated by http://dx.doi.org/10.6084/m9.figshare.1556143
DOI: 10.6084/m9.figshare.1564738
title: Myth vs. reality: Altmetrics & librarians

description: This dataset includes survey response data exported from Qualtrics. It is a subset of the full survey response data collected that covers many different areas of library services. It's uploaded here for sharing as part of the Altmetrics15 workshop in Amsterdam (October 2015). Librarians have historically been early adopters of research metrics, which are commonly understood as being used in the context of their day-to-day jobs, particularly for collection management activities. While much has been written about librarians’ role in the formation and use of the journal impact factor and article and journal usage statistics, there have until now been no major studies of how librarians use altmetrics. In this talk, the authors will share the results from a survey of librarians in the United States who work in research intensive institutions. Respondents self-report that they are increasingly passing over the journal impact factor in favor of using altmetrics, citation counts, and usage statistics for collection development decisions and other job-related duties (including information literacy instruction, reference services, and scholarly communication consulting). Librarians are also increasingly using altmetrics in their own capacities as researchers, to help determine how to best communicate their research impacts to others when going up for tenure and in other professional advancement contexts. The authors expect that this survey will serve as a useful benchmark for the uptake of altmetrics and other research impact measures among librarians, the extent of which may change in the future. We will also discuss the possible implications of these responses on the services provided by altmetrics aggregators like Altmetric, who often count librarians among their subscribers.
DOI: 10.6084/m9.figshare.1564745.v1
title: Slovenia's Gross Domestic Expenditure on R&D By Sector and Field (2007-2013)

description: The attached files include: A data set that describes Slovenia's Gross Domestic Expenditure on R&D between 2007-2013 (the only time frame the data is currently available for). A R script to produce a plot which shows spending by sector (the sector that spent the money) and the field of science (broadly) they spent their funds on. The final plot. The R script is heavily commented and includes links to the original data source, and descriptions of why things are done. It is very simple!