cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1222839
title: Dataset pesticide risk assessment in the honey bee

description: Dataset of the article "A pragmatic approach to assess the exposure of the honey bee (Apis mellifera) when<br>subjected to pesticide spray"
DOI: 10.6084/m9.figshare.12830579
title: Apocynaceae_all_bait_sequences.txt

description: Targeted sequencing probes for solution hybridization to enrich for single copy nuclear genes in Apocynaceae. This file also contains probes for <i>dhs </i>and <i>hss.</i>
DOI: 10.6084/m9.figshare.1222832
title: Gaussian Job Archive for C7H8OS

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1222829
title: Gaussian Job Archive for C14H15OP

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1222830
title: Gaussian Job Archive for C16H20N(1+)

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1222832.v1
title: Gaussian Job Archive for C7H8OS

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1222829.v1
title: Gaussian Job Archive for C14H15OP

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1222830.v1
title: Gaussian Job Archive for C16H20N(1+)

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1222834.v1
title: Gaussian Job Archive for C9H16

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1222824
title: Gaussian Job Archive for C9H13ClSi

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1222825
title: Gaussian Job Archive for C14H15NO

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1222827
title: Gaussian Job Archive for C9H13S(1+)

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1222825.v1
title: Gaussian Job Archive for C14H15NO

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1222824.v1
title: Gaussian Job Archive for C9H13ClSi

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1222827.v1
title: Gaussian Job Archive for C9H13S(1+)

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1222819
title: Gaussian Job Archive for C6H10

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1222820
title: Gaussian Job Archive for C6H10

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1222817
title: Gaussian Job Archive for C4H8

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1222819.v1
title: Gaussian Job Archive for C6H10

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1222820.v1
title: Gaussian Job Archive for C6H10

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1222816
title: Gaussian Job Archive for C4H10O

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1222817.v1
title: Gaussian Job Archive for C4H8

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1222816.v1
title: Gaussian Job Archive for C4H10O

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1221857
title: Sapling Density in Comparison to Competing Adults and Light Penetration

description: team of researchers went into a forest, located a tree specimen, used transects to measure a 6 meter radius from tree specimen. One to two researchers counted the number of saplings that are the same type of tree as the tree specimen within the 6 meter radius. One researcher counted the number of all adult trees within the 6 meter radius. And one researcher estimated the percentage of light penetration in four random spots within the 6 meter radius. After this researchers would repeat on a different tree outside of the 6 meter radius.
DOI: 10.6084/m9.figshare.1222584
title: Effects of Density and Sunlight Exposure on Leaf Abundance

description: The experiment was performed in Danby Park at the Keele York university campus. The plant of interest in this case was the Goldenrod. The trials were split and were to be done on two different days. The first 20 trials were done in a fairly cloudy weather, with little direct sunlight. The following 10 trials were done on day two (one week from day one) during clear and sunny weather. With this kept in mind, in the grassland of Danby Park, a random spot where Goldenrod species were present was selected and a quadrat was placed over the area. First, the plant density (not including grass) was estimated. The grass was excluded because the focus of the experiment was on larger plants that were similar in size to the Goldenrod species. Also the grass was very abundant throughout the field that the competition of grass witth the Goldenrod was ruled out. The density within the quadrat was estimated by considering the presense of all plant types present. This estimation was to be recorded in a percentage. Next, the number of leaves on the Goldenrod plant was to be counted. If multiple Goldenrod plants were present, then an average count of leaves was to be recorded. This was done by counting all the leaves on all present plants within the quadrat and divided by the number of plants present to get an average. the average leaf count on day one was generally higher when compared to day two. Once done, the next step was to count only the leaves of the Goldenrod plant that were exposed to sunlight within the quadrat. If multiple Goldenrod plants were present this was to be averaged. On day two, the sunlight exposure was noticeably higher than day one. Once all observations were recorded, the next trial was to be done and so to pick the next spot, students were to move 1m north and 1m east, picking a new spot and repeating the steps above for a total of 30 trials.
DOI: 10.6084/m9.figshare.1221856
title: Evolutionary Insights into Cospeciation and Host Switching in Neotropical Streblidae (Diptera)

description: This work was an undergraduate project done by Gordon Bennett between 2003 and 2005. It was submitted for publication and reviewed but ultimately never published. We are providing the manuscript text and figures here for any interested parties. The sequences generated in this study have been submitted to Genbank. Voucher material is present in my lab. Please contact me if you are interested in any aspect of this work.
DOI: 10.6084/m9.figshare.1221871
title: The Effects of Goldenrod Density and Species Richness on the Height of Goldenrod

description: This dataset was collected on October 15, 2014 and October 22, 2014 at approximately 3:00pm on both dates. A 1m x 1m quadrat was laid out in the York University grassland area where Goldenrods were present. The contents of the quadrat were observed. Three Goldrenrods that were representative of the population within the quadrat were measured, in centimetres, using a transect measuring tape and recorded. The density of Goldenrod was calculated by counting the abundance and diving it by the total area (1m^2) of the quadrat. Once the density was calculated and recorded, the species richness within the quadrat was counted, excluding Goldenrod and Poa. The sampling took place 40 times in the grassland area where Goldenrods were present in order to accurately determine the affect that species richness and Goldenrod density have on the height of Goldenrod.
DOI: 10.6084/m9.figshare.1222584.v1
title: Effects of Density and Sunlight Exposure on Leaf Abundance

description: The experiment was performed in Danby Park at the Keele York university campus. The plant of interest in this case was the Goldenrod. The trials were split and were to be done on two different days. The first 20 trials were done in a fairly cloudy weather, with little direct sunlight. The following 10 trials were done on day two (one week from day one) during clear and sunny weather. With this kept in mind, in the grassland of Danby Park, a random spot where Goldenrod species were present was selected and a quadrat was placed over the area. First, the plant density (not including grass) was estimated. The grass was excluded because the focus of the experiment was on larger plants that were similar in size to the Goldenrod species. Also the grass was very abundant throughout the field that the competition of grass witth the Goldenrod was ruled out. The density within the quadrat was estimated by considering the presense of all plant types present. This estimation was to be recorded in a percentage. Next, the number of leaves on the Goldenrod plant was to be counted. If multiple Goldenrod plants were present, then an average count of leaves was to be recorded. This was done by counting all the leaves on all present plants within the quadrat and divided by the number of plants present to get an average. the average leaf count on day one was generally higher when compared to day two. Once done, the next step was to count only the leaves of the Goldenrod plant that were exposed to sunlight within the quadrat. If multiple Goldenrod plants were present this was to be averaged. On day two, the sunlight exposure was noticeably higher than day one. Once all observations were recorded, the next trial was to be done and so to pick the next spot, students were to move 1m north and 1m east, picking a new spot and repeating the steps above for a total of 30 trials.
DOI: 10.6084/m9.figshare.1221851
title: Vegetation compostion and environmental data from PPBio transects at Karawatha Forest Park

description: This is the dataset used in the PLOS ONE manuscript on woody vegetation composition at Karawatha Forest Park (Latitude -27.632 and Longitude 153.084). The first tab contains the vegation data (woody stems &gt;1 cm DBH) within PPBio plots in 2009. The second tab contains environmental variables collected in 2009. The third tab is a legend for the variables used in the first two tabs
DOI: 10.6084/m9.figshare.1221871.v1
title: The Effects of Goldenrod Density and Species Richness on the Height of Goldenrod

description: This dataset was collected on October 15, 2014 and October 22, 2014 at approximately 3:00pm on both dates. A 1m x 1m quadrat was laid out in the York University grassland area where Goldenrods were present. The contents of the quadrat were observed. Three Goldrenrods that were representative of the population within the quadrat were measured, in centimetres, using a transect measuring tape and recorded. The density of Goldenrod was calculated by counting the abundance and diving it by the total area (1m^2) of the quadrat. Once the density was calculated and recorded, the species richness within the quadrat was counted, excluding Goldenrod and Poa. The sampling took place 40 times in the grassland area where Goldenrods were present in order to accurately determine the affect that species richness and Goldenrod density have on the height of Goldenrod.
DOI: 10.6084/m9.figshare.1221847
title: KG_8.5_Template.xlsx (Kliger Gurevich Chapter 8.5 Template)

description: Event Studies are overwhelmingly widespread in financial research, providing tools for shedding light on market efficiency, as well as measuring the impact of various occurrences on public firms’ security prices. Mastering the Event Study approach is essential for researchers and practitioners alike. Event Studies for Financial Research aims to help readers obtain valuable hands-on experience with Event Study tools and gain technical skills for conducting their own studies. Kliger and Gurevich provide a detailed application of their approach, which consists of a description of the method, references, guided applications, and elaborated framework for implementing the applications.
DOI: 10.6084/m9.figshare.1221857.v2
title: Sapling Density in Comparison to Competing Adults and Light Penetration

description: team of researchers went into a forest, located a tree specimen, used transects to measure a 6 meter radius from tree specimen. One to two researchers counted the number of saplings that are the same type of tree as the tree specimen within the 6 meter radius. One researcher counted the number of all adult trees within the 6 meter radius. And one researcher estimated the percentage of light penetration in four random spots within the 6 meter radius. After this researchers would repeat on a different tree outside of the 6 meter radius.
DOI: 10.6084/m9.figshare.1221846
title: KG_8.5_Solution.xlsx (Kliger Gurevich Chapter 8.5 Solution)

description: Event Studies are overwhelmingly widespread in financial research, providing tools for shedding light on market efficiency, as well as measuring the impact of various occurrences on public firms’ security prices. Mastering the Event Study approach is essential for researchers and practitioners alike. Event Studies for Financial Research aims to help readers obtain valuable hands-on experience with Event Study tools and gain technical skills for conducting their own studies. Kliger and Gurevich provide a detailed application of their approach, which consists of a description of the method, references, guided applications, and elaborated framework for implementing the applications.
DOI: 10.6084/m9.figshare.1222587.v1
title: DevoWorm: reconstructing development as bits and datatypes

description: From synthetic biology to software development, collaborative efforts have allowed us to "hack at" incredibly complex systems. When hackathon efforts are done at scale, we can produce sparsely represented emulations of these systems. While these efforts might yield immediate (albeit small-scale) rewards, the broader implications are typically not a part of such efforts. As OpenWorm is an attempt to emulate the whole organism (C. elegans), DevoWorm is an attempt to emulate developmental processes that lead to the adult C. elegans. Such a meta-emulation is useful in a number of ways, from providing crucial information about development itself to providing a combinatorial source of developmental outcomes for evaluating phenotypic mutants. Therefore, we will discuss not only how emulation of C. elegans development can proceed, but also how this is relevant to a broader developmental perspective. We will primarily focus on the embryogenetic aspects of mosaic development, and how using a differentiation tree approach can provide multi-axis resolution to the process of cell division and identity. Information on the use of multiple datatypes such as gene expression, microscopy, and semantic metadata will also be featured. In conclusion, we will consider the limitations of developmental simulations and how they can be useful heuristics for enabling better cell, molecular, and computational biology.
DOI: 10.6084/m9.figshare.1221847.v1
title: KG_8.5_Template.xlsx (Kliger Gurevich Chapter 8.5 Template)

description: Event Studies are overwhelmingly widespread in financial research, providing tools for shedding light on market efficiency, as well as measuring the impact of various occurrences on public firms’ security prices. Mastering the Event Study approach is essential for researchers and practitioners alike. Event Studies for Financial Research aims to help readers obtain valuable hands-on experience with Event Study tools and gain technical skills for conducting their own studies. Kliger and Gurevich provide a detailed application of their approach, which consists of a description of the method, references, guided applications, and elaborated framework for implementing the applications.
DOI: 10.6084/m9.figshare.1221857.v1
title: Sapling density in comparison to competing adults and light penetration

description: team of researchers went into a forest, located a tree specimen, used transects to measure a 6 meter radius from tree specimen. One to two researchers counted the number of saplings that are the same type of tree as the tree specimen within the 6 meter radius. One researcher counted the number of all adult trees within the 6 meter radius. And one researcher estimated the percentage of light penetration in four random spots within the 6 meter radius. After this researchers would repeat on a different tree outside of the 6 meter radius.
DOI: 10.6084/m9.figshare.1221844
title: KG_8.4_Solution.xlsx (Kliger Gurevich Chapter 8.4 Solution)

description: Event Studies are overwhelmingly widespread in financial research, providing tools for shedding light on market efficiency, as well as measuring the impact of various occurrences on public firms’ security prices. Mastering the Event Study approach is essential for researchers and practitioners alike. Event Studies for Financial Research aims to help readers obtain valuable hands-on experience with Event Study tools and gain technical skills for conducting their own studies. Kliger and Gurevich provide a detailed application of their approach, which consists of a description of the method, references, guided applications, and elaborated framework for implementing the applications.
DOI: 10.6084/m9.figshare.1221845
title: KG_8.4_Template.xlsx (Kliger Gurevich Chapter 8.4 Template)

description: Event Studies are overwhelmingly widespread in financial research, providing tools for shedding light on market efficiency, as well as measuring the impact of various occurrences on public firms’ security prices. Mastering the Event Study approach is essential for researchers and practitioners alike. Event Studies for Financial Research aims to help readers obtain valuable hands-on experience with Event Study tools and gain technical skills for conducting their own studies. Kliger and Gurevich provide a detailed application of their approach, which consists of a description of the method, references, guided applications, and elaborated framework for implementing the applications.
DOI: 10.6084/m9.figshare.1221846.v1
title: KG_8.5_Solution.xlsx (Kliger Gurevich Chapter 8.5 Solution)

description: Event Studies are overwhelmingly widespread in financial research, providing tools for shedding light on market efficiency, as well as measuring the impact of various occurrences on public firms’ security prices. Mastering the Event Study approach is essential for researchers and practitioners alike. Event Studies for Financial Research aims to help readers obtain valuable hands-on experience with Event Study tools and gain technical skills for conducting their own studies. Kliger and Gurevich provide a detailed application of their approach, which consists of a description of the method, references, guided applications, and elaborated framework for implementing the applications.
DOI: 10.6084/m9.figshare.1221843
title: KG_8.3_Template.xlsx (Kliger Gurevich Chapter 8.3 Template)

description: Event Studies are overwhelmingly widespread in financial research, providing tools for shedding light on market efficiency, as well as measuring the impact of various occurrences on public firms’ security prices. Mastering the Event Study approach is essential for researchers and practitioners alike. Event Studies for Financial Research aims to help readers obtain valuable hands-on experience with Event Study tools and gain technical skills for conducting their own studies. Kliger and Gurevich provide a detailed application of their approach, which consists of a description of the method, references, guided applications, and elaborated framework for implementing the applications.
DOI: 10.6084/m9.figshare.1221844.v1
title: KG_8.4_Solution.xlsx (Kliger Gurevich Chapter 8.4 Solution)

description: Event Studies are overwhelmingly widespread in financial research, providing tools for shedding light on market efficiency, as well as measuring the impact of various occurrences on public firms’ security prices. Mastering the Event Study approach is essential for researchers and practitioners alike. Event Studies for Financial Research aims to help readers obtain valuable hands-on experience with Event Study tools and gain technical skills for conducting their own studies. Kliger and Gurevich provide a detailed application of their approach, which consists of a description of the method, references, guided applications, and elaborated framework for implementing the applications.
DOI: 10.6084/m9.figshare.1221841
title: KG_8.3_Solution.xlsx (Kliger Gurevich Chapter 8.3 Solution)

description: Event Studies are overwhelmingly widespread in financial research, providing tools for shedding light on market efficiency, as well as measuring the impact of various occurrences on public firms’ security prices. Mastering the Event Study approach is essential for researchers and practitioners alike. Event Studies for Financial Research aims to help readers obtain valuable hands-on experience with Event Study tools and gain technical skills for conducting their own studies. Kliger and Gurevich provide a detailed application of their approach, which consists of a description of the method, references, guided applications, and elaborated framework for implementing the applications.
DOI: 10.6084/m9.figshare.1221843.v1
title: KG_8.3_Template.xlsx (Kliger Gurevich Chapter 8.3 Template)

description: Event Studies are overwhelmingly widespread in financial research, providing tools for shedding light on market efficiency, as well as measuring the impact of various occurrences on public firms’ security prices. Mastering the Event Study approach is essential for researchers and practitioners alike. Event Studies for Financial Research aims to help readers obtain valuable hands-on experience with Event Study tools and gain technical skills for conducting their own studies. Kliger and Gurevich provide a detailed application of their approach, which consists of a description of the method, references, guided applications, and elaborated framework for implementing the applications.
DOI: 10.6084/m9.figshare.1221845.v1
title: KG_8.4_Template.xlsx (Kliger Gurevich Chapter 8.4 Template)

description: Event Studies are overwhelmingly widespread in financial research, providing tools for shedding light on market efficiency, as well as measuring the impact of various occurrences on public firms’ security prices. Mastering the Event Study approach is essential for researchers and practitioners alike. Event Studies for Financial Research aims to help readers obtain valuable hands-on experience with Event Study tools and gain technical skills for conducting their own studies. Kliger and Gurevich provide a detailed application of their approach, which consists of a description of the method, references, guided applications, and elaborated framework for implementing the applications.