cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3860013
title: Observing the Number of Snails vs. Insects found in Rainy Weather Through Net Sweeping

description: Meta-data: <br>For both the snail and insect abundance, data was collected through the process of net sweeping, wherein the observations were made through counting. <br>Both are Quanititave variables. The weather conditions in the grasslands at York University Keele Campus were cloudy and rainy that afternoon. <br><br>Hypothesis: <br>The rainy weather will impact the abundance of insects available for collection, but will increase the abundance of snails in the grassland.<br><br>Predictions:<br>1) The number of snails collected will outnumber the number of insects collected.<br>2) Winged insects cannot fly well in rain, thus, a lower count of these insects is expected.<br>3)Hopping insects are expected to be the most abundant group of insects collected compared to all other insects<br><br>Methods:<br>A sweeping net was provided for this experiment. Each sweep was about 1m in distance from the next, over a total of d=30m. It took t=2 min to finish 1 sweep of 30m. Sweeps were recorded at least 10m apart from one another in the grassland. The conditions were cloudy and rainy.<br><br>
DOI: 10.6084/m9.figshare.3860028.v2
title: DevoWorm Project Introduction, October 2016

description: Ignite talk (update on DevoWorm project) to be presented at the OpenWorm Open House in October 2016.
DOI: 10.7910/dvn/v1rjpf/shxeum
title: snk20171105_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3860013.v1
title: Observing the Number of Snails vs. Insects found in Rainy Weather Through Net Sweeping

description: Meta-data: <br>For both the snail and insect abundance, data was collected through the process of net sweeping, wherein the observations were made through counting. <br>Both are Quanititave variables. The weather conditions in the grasslands at York University Keele Campus were cloudy and rainy that afternoon. <br><br>Hypothesis: <br>The rainy weather will impact the abundance of insects available for collection, but will increase the abundance of snails in the grassland.<br><br>Predictions:<br>1) The number of snails collected will outnumber the number of insects collected.<br>2) Winged insects cannot fly well in rain, thus, a lower count of these insects is expected.<br>3)Hopping insects are expected to be the most abundant group of insects collected compared to all other insects<br><br>Methods:<br>A sweeping net was provided for this experiment. Each sweep was about 1m in distance from the next, over a total of d=30m. It took t=2 min to finish 1 sweep of 30m. Sweeps were recorded at least 10m apart from one another in the grassland. The conditions were cloudy and rainy.<br><br>
DOI: 10.7910/dvn/v1rjpf/nnnuvg
title: snk20171123_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3860028.v3
title: DevoWorm Project Introduction, October 2016

description: Ignite talk (update on DevoWorm project) to be presented at the OpenWorm Open House in October 2016.
DOI: 10.7910/dvn/v1rjpf/lyl4jc
title: snk20170921_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/n6aukt
title: snk20171001_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/sqmntd
title: snk20170912_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3859995
title: BIOL 2050 Lab 1.xlsx

description: Hypothesis: There is a significant difference in the number of species attracted to specific coloured traps. Predictions: 1. Brighter colors such as Yellow and light blue would attract the greatest number of flying insects. 2. Less floral colors such as dark blue and white would attract the least number of flying insects. Methods: A total of 18 colored plates were placed equally in the woodlot and grassland (9 plates respectively). Each plate was filled with soapy water upon arrival to the site. The plates were placed specifically to ensure a fair collection of data and were analyzed for RTUs and abundance at the end of the lab. Meta-analysis: Abundance: Bowls were placed within a given area specific to their color in order to collect flying insects and pollinators. They were placed with each color on a specific end of the area in order to attract any and all insects approaching the area in any direction. The abundance was counted by how many total insects were collected per color. Number of Species: A count of how many of each species was being recorded to illustrate how each color trapped specific insects more or less than others. Location: The bowls were placed using the same method in two distinct areas in order to see if species behaved and are attracted to colors differently within grasslands and woodlots. <br>
DOI: 10.7910/dvn/v1rjpf/rdfzek
title: snk20170630_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/iusaww
title: snk20171204_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/gwed8t
title: snk20170901_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/nsxsy5
title: snk20170709_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3859980
title: The impact of location and colour on the diversity and abundance of insects at York University

description: <b>Meta data:</b>Replicates: The total number of bowls places randomly in both grassland and woodlot Number of insects: it’s a continuous variable, which shows the total number of individuals visualized and counted in the bowl. Bowl colour: it’s a categorical variable which shows the different colours which the bowl may have; yellow, blue or white. . Rtus (recognizable taxonomic unit): it’s a continuous variable which represents the total number of different identified insects visualized in bowl and can represent diversity. Study site it’s a categorical variable and represents the location of habitat used for measuring the abundance and diversity of insects; woodlot or grassland.<b>Method:</b> On Monday, September 26<sup>th</sup> 2016, the data was collected on a rainy day with the temperature of 17 °C, approximately at 3:00 pm. The woodlots and grasslands of Saywell Woods at York University were chosen for data collection. This experiment was conducted with the help of Fatin Anwar, a student of Biol 2050 course. 20 bowls with three colors of yellow, blue and white were obtained and each was filled with soapy water up to an inch. For each grassland and woodlot, 10 bowls were placed randomly, by taking random number of steps away from each bowl. The number of steps was determined using a random-number-generator application on iPhone. After waiting for an hour, the number of insects and the number of different recognizable taxonomic units (rtus) was measured through visualization and counting. <b>Hypothesis:</b>There will be more insects in woodlots than grassland, specifically on the bowls, which mimic the color of their natural habitat. The reason is that due to environmental condition, more diversity in terms of habitat is available for insects. In addition, if the colour of the bowl is more similar to the habitat that these insects live, such as trees or flowers, the chances of insect being trapped in the bowl is also higher. <b>Prediction:</b>The most number of insects and rtus would be found on the bowls with yellow colour and placed in woodlots, since there are more insects found in woodlots and the yellow colour mimics the colour of flowers which many flies can notice.Moreover, the least number of insects and rtus would be found on blue bowls found in the grassland. Because they’re less similar to insects natural habitat and the colour of the bowl is least similar to the colour which insect can usually see.
DOI: 10.7910/dvn/v1rjpf/plqgy9
title: snk20170404_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3859974
title: yorku.grassland.sept26-2016.csv

description: <b>Meta-data</b>Time Intervals: To ensure speeds were constant in order to meet the time requirements, average steps were calculated and followed through by experimenters while sweeping along transects (i.e. walking each meter in 2 seconds for the 60 second intervals)<br>Sweeping Maneuver: The general rule applied was to sweep once for every second spent walking along transect.<br>Observations: Total number of individuals and RTUs were counted by flipping net over but also making sure not to let any individuals fly out.<br><b>Method</b>Experimenter with sweep net walked along a transect (30 meters) over an interval of 60, 70, 80, 90, and 100 seconds, respectively. The net was continually (swept) along the plant species of the grassland, slowly but steadily. At the end of every transect, collected animal life were observed and recorded in terms of the Total Number of Individuals and Recognizable Taxonomic Units (RTUs). "Sweeps" of each time interval were repeated for two trials for a total of 10 sweeps. <br><b>Hypothesis</b>There is a significant correlation between the amount of time spent on a "sweep" and the resulting total number of individuals and RTUs in the sweep net. <br><b>Predictions</b>1. The more time spent conducting a sweep, the higher the resulting total number of individuals will be.2. With higher total number of individuals in a sweep, higher RTUs will be observed.
DOI: 10.6084/m9.figshare.3859980.v2
title: The impact of location and colour on the diversity and abundance of insects at York University

description: <b>Meta data:</b>Replicates: The total number of bowls places randomly in both grassland and woodlot Number of insects: it’s a continuous variable, which shows the total number of individuals visualized and counted in the bowl. Bowl colour: it’s a categorical variable which shows the different colours which the bowl may have; yellow, blue or white. . Rtus (recognizable taxonomic unit): it’s a continuous variable which represents the total number of different identified insects visualized in bowl and can represent diversity. Study site it’s a categorical variable and represents the location of habitat used for measuring the abundance and diversity of insects; woodlot or grassland.<b>Method:</b> On Monday, September 26<sup>th</sup> 2016, the data was collected on a rainy day with the temperature of 17 °C, approximately at 3:00 pm. The woodlots and grasslands of Saywell Woods at York University were chosen for data collection. This experiment was conducted with the help of Fatin Anwar, a student of Biol 2050 course. 20 bowls with three colors of yellow, blue and white were obtained and each was filled with soapy water up to an inch. For each grassland and woodlot, 10 bowls were placed randomly, by taking random number of steps away from each bowl. The number of steps was determined using a random-number-generator application on iPhone. After waiting for an hour, the number of insects and the number of different recognizable taxonomic units (rtus) was measured through visualization and counting. <b>Hypothesis:</b>There will be more insects in woodlots than grassland, specifically on the bowls, which mimic the color of their natural habitat. The reason is that due to environmental condition, more diversity in terms of habitat is available for insects. In addition, if the colour of the bowl is more similar to the habitat that these insects live, such as trees or flowers, the chances of insect being trapped in the bowl is also higher. <b>Prediction:</b>The most number of insects and rtus would be found on the bowls with yellow colour and placed in woodlots, since there are more insects found in woodlots and the yellow colour mimics the colour of flowers which many flies can notice.Moreover, the least number of insects and rtus would be found on blue bowls found in the grassland. Because they’re less similar to insects natural habitat and the colour of the bowl is least similar to the colour which insect can usually see.
DOI: 10.7910/dvn/v1rjpf/e7ajjn
title: snk20170624_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3859974.v1
title: yorku.grassland.sept26-2016.csv

description: <b>Meta-data</b>Time Intervals: To ensure speeds were constant in order to meet the time requirements, average steps were calculated and followed through by experimenters while sweeping along transects (i.e. walking each meter in 2 seconds for the 60 second intervals)<br>Sweeping Maneuver: The general rule applied was to sweep once for every second spent walking along transect.<br>Observations: Total number of individuals and RTUs were counted by flipping net over but also making sure not to let any individuals fly out.<br><b>Method</b>Experimenter with sweep net walked along a transect (30 meters) over an interval of 60, 70, 80, 90, and 100 seconds, respectively. The net was continually (swept) along the plant species of the grassland, slowly but steadily. At the end of every transect, collected animal life were observed and recorded in terms of the Total Number of Individuals and Recognizable Taxonomic Units (RTUs). "Sweeps" of each time interval were repeated for two trials for a total of 10 sweeps. <br><b>Hypothesis</b>There is a significant correlation between the amount of time spent on a "sweep" and the resulting total number of individuals and RTUs in the sweep net. <br><b>Predictions</b>1. The more time spent conducting a sweep, the higher the resulting total number of individuals will be.2. With higher total number of individuals in a sweep, higher RTUs will be observed.
DOI: 10.6084/m9.figshare.3859980.v1
title: The impact of location and colour on the diversity and abundance of insects at York University

description: <b>Meta data:</b>Replicates: The total number of bowls places randomly in both grassland and woodlot Number of insects: it’s a continuous variable, which shows the total number of individuals visualized and counted in the bowl. Bowl colour: it’s a categorical variable which shows the different colours which the bowl may have; yellow, blue or white. . Rtus (recognizable taxonomic unit): it’s a continuous variable which represents the total number of different identified insects visualized in bowl and can represent diversity. Study site it’s a categorical variable and represents the location of habitat used for measuring the abundance and diversity of insects; woodlot or grassland.<b>Method:</b> On Monday, September 26<sup>th</sup> 2016, the data was collected on a rainy day with the temperature of 17 °C, approximately at 3:00 pm. The woodlots and grasslands of Saywell Woods at York University were chosen for data collection. This experiment was conducted with the help of Fatin Anwar, a student of Biol 2050 course. 20 bowls with three colors of yellow, blue and white were obtained and each was filled with soapy water up to an inch. For each grassland and woodlot, 10 bowls were placed randomly, by taking random number of steps away from each bowl. The number of steps was determined using a random-number-generator application on iPhone. After waiting for an hour, the number of insects and the number of different recognizable taxonomic units (rtus) was measured through visualization and counting. <b>Hypothesis:</b>There will be more insects in woodlots than grassland, specifically on the bowls, which mimic the color of their natural habitat. The reason is that due to environmental condition, more diversity in terms of habitat is available for insects. In addition, if the colour of the bowl is more similar to the habitat that these insects live, such as trees or flowers, the chances of insect being trapped in the bowl is also higher. <b>Prediction:</b>The most number of insects and rtus would be found on the bowls with yellow colour and placed in woodlots, since there are more insects found in woodlots and the yellow colour mimics the colour of flowers which many flies can notice.Moreover, the least number of insects and rtus would be found on blue bowls found in the grassland. Because they’re less similar to insects natural habitat and the colour of the bowl is least similar to the colour which insect can usually see.
DOI: 10.7910/dvn/v1rjpf/xkze1h
title: snk20170819_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3859968
title: Lab 3 Ecology.csv

description: Total number of insects and RTUs counted and recorded in both grassland and woodland area in 10 different yellow cups after letting it sit for an hour
DOI: 10.6084/m9.figshare.3859968.v1
title: Lab 3 Ecology.csv

description: Total number of insects and RTUs counted and recorded in both grassland and woodland area in 10 different yellow cups after letting it sit for an hour
DOI: 10.6084/m9.figshare.3859941
title: Weather Conditions Affects on Bird Sightings

description: Hypothesis: <br>Weather conditions and location will have no affect on bird sightings.<br><br>Predictions:<br>(1) Weather conditions will have no affect on number of individuals spotted.<br>(2) Weather conditions will have no affect on the number of species spotted.<br>(3) number of sightings will stay consistent between the grassland and woodland regions.<br><br>Methods:<br>First a 15m transect was laid out randomly. Then to collect the data the transect was walked and the number of birds and the species seen within 10m of either side was was written down on a notebook along with the approximate distance from the transect and the Beaufort scale number. This was done 5 times in the grassland and five times in the woodland for a total of 10 times.<br><br>Variables:<br>Individuals were determined by counting the number of birds seen.<br>Species were defined using the morphological species concept, "if it looks different it is different."<br>Distance was gathered by approximation.<br>Beaufort scale number was measured using approximation and a provided chart. <br> <br><br> <br>
DOI: 10.7910/dvn/v1rjpf/f6aq0g
title: snk20170915_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3859941.v1
title: Weather Conditions Affects on Bird Sightings

description: Hypothesis: <br>Weather conditions and location will have no affect on bird sightings.<br><br>Predictions:<br>(1) Weather conditions will have no affect on number of individuals spotted.<br>(2) Weather conditions will have no affect on the number of species spotted.<br>(3) number of sightings will stay consistent between the grassland and woodland regions.<br><br>Methods:<br>First a 15m transect was laid out randomly. Then to collect the data the transect was walked and the number of birds and the species seen within 10m of either side was was written down on a notebook along with the approximate distance from the transect and the Beaufort scale number. This was done 5 times in the grassland and five times in the woodland for a total of 10 times.<br><br>Variables:<br>Individuals were determined by counting the number of birds seen.<br>Species were defined using the morphological species concept, "if it looks different it is different."<br>Distance was gathered by approximation.<br>Beaufort scale number was measured using approximation and a provided chart. <br> <br><br> <br>
DOI: 10.7910/dvn/v1rjpf/joeedl
title: snk20171212_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/qszfsp
title: snk20170319_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3859932
title: Ground insects abundance and species variation in woodlot by quadrats

description: Variable descriptions:The abundance of insects is the number of them found within the 1m by 1m quadrat. Only land insects that were completely within the quadrat were included, not flying ones. This is a quantitive discrete variable.<br>The species richness is the number of different types of land insects found within the 1m by 1m quadrat. Only land insects that were completely within the quadrat were included, not flying ones. Different species of an animal, like ants, were counted as one. This is a quantitive discrete variable.<br>Hypothesis: As the observations are made farther away from the grasslands, there will be a significant difference in the variability and number of insects seen due to environmental preferences.<br>Predictions:1) The further in the woodlot the insects are observed, the higher the abundance of insects.2) As the quadrats are moved farther into the woodlot, more different types of land insects will be observed.3) As the types of insects increases, so will the abundance of them.<br>Methods:3The quadrats were placed in the woodlot on the east side of york university keele campus. For each new measurement the quadrat was moved 3 steps to the east, then 3 steps north, to the east, then 3 to the north, until all 25 of the data observations were collected. This method moved the collection away from the grasslands and further into the woodlot. Only land insects were considered for the data, no flying insects or animals other than insects.<br><br>
DOI: 10.7910/dvn/v1rjpf/sp4hfu
title: snk20170221_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3859932.v1
title: Ground insects abundance and species variation in woodlot by quadrats

description: Variable descriptions:The abundance of insects is the number of them found within the 1m by 1m quadrat. Only land insects that were completely within the quadrat were included, not flying ones. This is a quantitive discrete variable.<br>The species richness is the number of different types of land insects found within the 1m by 1m quadrat. Only land insects that were completely within the quadrat were included, not flying ones. Different species of an animal, like ants, were counted as one. This is a quantitive discrete variable.<br>Hypothesis: As the observations are made farther away from the grasslands, there will be a significant difference in the variability and number of insects seen due to environmental preferences.<br>Predictions:1) The further in the woodlot the insects are observed, the higher the abundance of insects.2) As the quadrats are moved farther into the woodlot, more different types of land insects will be observed.3) As the types of insects increases, so will the abundance of them.<br>Methods:3The quadrats were placed in the woodlot on the east side of york university keele campus. For each new measurement the quadrat was moved 3 steps to the east, then 3 steps north, to the east, then 3 to the north, until all 25 of the data observations were collected. This method moved the collection away from the grasslands and further into the woodlot. Only land insects were considered for the data, no flying insects or animals other than insects.<br><br>
DOI: 10.7910/dvn/v1rjpf/kif0j9
title: snk20170923_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/jeey04
title: snk20171010_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/dep5uj
title: snk20170714_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3859926
title: Sighting data base

description: This dataset has Commerson’s dolphin <i>Cephalorhynchus c. commersonii</i> and Peale’s dolphin <i>Lagenorhynchus australis</i> sightings collected during eight scientific cruises on board of the vessels <i>R/V Puerto Deseado</i> and <i>Tango SB-15 </i>of Argentina<i> </i>during austral summer and fall months (November-April) between 2009 and 2015, along the Patagonian shelf .Cetacean sightings were recorded on a portable handheld computer with integrated GPS (Trimble Juno ST), using the free software CyberTracker (CyberTracker Software (Pty) Ltd Reg. no. 97/01908/07, http://www.cybertracker.co.za). Surveys were conducted daily during daylight hours (~ 12 hrs) at a mean vessel speed of 10 knots. During the surveys, two observers collected the data from both sides of the vessel, through naked eye scans supplemented by use of 7x50 binoculars<b> </b>with internal compass and reticle. A third observer assisted in the scans and recorded observations. Observers switched between the three positions at 2 hour intervals. Data recorded for each sighting included GPS position, date and time, sighting distance, sighting angle, species, group size and composition. Vessel speed, air temperature, wind speed and direction, Beaufort Sea State (BSS), cloud cover and visibility were recorded at the start of each day and updated whenever they changed.
DOI: 10.7910/dvn/v1rjpf/7rzuqg
title: snk20170830_03.txt.gz

description: :unav