Find research datasets worth reusing

Distribution. Lowlands of EC Ethiopia (Awash area) and NW Somalia. The exact southern limit of the Northern Lesser Kudu''s distribution in eastern Ethiopia requires additional research. in Bovidae

Distribution. Lowlands of EC Ethiopia (Awash area) and NW Somalia. The exact southern limit of the Northern Lesser Kudu''s distribution in eastern Ethiopia requires additional research.

Subspecies and Distribution. P.c.capensisPallas,1766—SouthAfrica,includingLesothoandSwaziland. P.c.bamendaeBrauer,1913—CameroonandCentralAfricanRepublic. P.c.capillosaBrauer,1917—SEthiopia. P.c.erlanger:Neumann,1901—SSomalia. P.c.habessinicaHemprich&Ehrenberg,1832—Egypt,NSudan,Israel,SaudiArabia,andYemen. P.c.jacksoniThomas,1900—EKenya. P.c.jayakariThomas,1892—Oman. P.c.johnston:Thomas,1894—SWTanzania,Malawi,Mozambique,andZimbabwe. P.c.kerstingiMatschie,1899—TogoandBenin. P.c.mackinder:Thomas,1900—WKenya. P.c.matschietNeumann,1900—DRCongoandTanzania. P.c.pallidaThomas,1891—NSomalia. P.c.ruficepsHemprich&Ehrenberg,1832—NandWAfrica. P.c.scioanaGiglioli,1888—NEthiopia. P.c.sharicaThomas&Wroughton,1907—Chad. P.c.syriacaSchreber,1784—Syria,Lebanon,Jordan,andIsrael. P. c. welwitschii Gray, 1868 — SW Angola and Namibia. The distribution information for this species is still incomplete; the Rock Hyrax is also present in Eritrea, Niger, Nigeria, C & S Sudan, Uganda, Rwanda, Burundi, Zambia and E Botswana, but the subspecific identity of these populations still requires confirmation. in Procaviidae

Subspecies and Distribution. P.c.capensisPallas,1766—SouthAfrica,includingLesothoandSwaziland. P.c.bamendaeBrauer,1913—CameroonandCentralAfricanRepublic. P.c.capillosaBrauer,1917—SEthiopia. P.c.erlanger:Neumann,1901—SSomalia. P.c.habessinicaHemprich&Ehrenberg,1832—Egypt,NSudan,Israel,SaudiArabia,andYemen. P.c.jacksoniThomas,1900—EKenya. P.c.jayakariThomas,1892—Oman. P.c.johnston:Thomas,1894—SWTanzania,Malawi,Mozambique,andZimbabwe. P.c.kerstingiMatschie,1899—TogoandBenin. P.c.mackinder:Thomas,1900—WKenya. P.c.matschietNeumann,1900—DRCongoandTanzania. P.c.pallidaThomas,1891—NSomalia. P.c.ruficepsHemprich&Ehrenberg,1832—NandWAfrica. P.c.scioanaGiglioli,1888—NEthiopia. P.c.sharicaThomas&Wroughton,1907—Chad. P.c.syriacaSchreber,1784—Syria,Lebanon,Jordan,andIsrael. P. c. welwitschii Gray, 1868 — SW Angola and Namibia. The distribution information for this species is still incomplete; the Rock Hyrax is also present in Eritrea, Niger, Nigeria, C & S Sudan, Uganda, Rwanda, Burundi, Zambia and E Botswana, but the subspecific identity of these populations still requires confirmation.

opencc-by-4.0Nov 2021View details →

Inputs and outputs for bilayers simulations in "Accurate Simulations of Lipid Monolayers Require a Water Model With Correct Surface Tension"

Inputs and outputs file for simulations of POPC and DPPC Bilayers at various temperatures. For details see:

Distribution. Patchy records in S Asia (Nepal and S India), much of mainland SE Asia (Myanmar, S China including Hainan I, Thailand, Laos, Vietnam, and Cambodia), and part of insular SE Asia (Nicobar Is, Sumatra, Java, Sulawesi, Lesser Sundas, and Moluccas); a record from Borneo requires confirmation. in Miniopteridae

Distribution. Patchy records in S Asia (Nepal and S India), much of mainland SE Asia (Myanmar, S China including Hainan I, Thailand, Laos, Vietnam, and Cambodia), and part of insular SE Asia (Nicobar Is, Sumatra, Java, Sulawesi, Lesser Sundas, and Moluccas); a record from Borneo requires confirmation.

opencc-by-4.0Feb 2022View details →

Data and scripts for Is it possible to disregard obsolete requirements? A family of experiments in software effort estimation

Supplementary materials (data and R scripts) for the publication: Gren, L., Berntsson Svensson, R. Is it possible to disregard obsolete requirements? a family of experiments in software effort estimation. Requirements Eng 26, 459–480 (2021). https://doi.org/10.1007/s00766-021-00351-7

opencc-zeroFeb 2022View details →

Data from: Temporal dissonance between group size and its benefits requires whole-of-lifecycle measurements

The benefits of living in groups drive the evolution of sociality, and these benefits could vary across a life-cycle. However, there may be experimental problems in linking group size at one time in a life-cycle to benefits that only become apparent later on when group size has changed, leading to what we call 'temporal dissonance'. In the only known social colletid bee, Amphylaeus morosus, parasite pressures arise at various times throughout the life-cycle from different parasitoid species. Amphylaeus morosus is impacted by eight different parasitoid species operating at different host-colony phenology phases, including five species of Gasteruption wasps, a bombyliid fly and two mutillid wasp species. We found that, as the reproductive season progressed, the number of host adults in a nest declined, often to zero, but the presence of even one adult host female during late brood-rearing stages appeared to offer substantial brood protection against mutillids. We propose that the apparent benefits of colony size at one point in time may not reflect the benefits that become apparent at a later point in the season, leading to a temporal dissonance between group size and its later fitness benefits. We also show that A. morosus is strongly protogynous, with variation in parasitoid pressure across the reproductive phenology distorting operational sex ratios away from initial investment ratios. Combined, our data suggest that seasonal variation in parasitoid pressure may have major consequences for understanding social evolution, but these kinds of consequences are largely unexplored in current studies of insect social evolution.

opencc-by-4.0Feb 2022View details →

Data Set of Thesis on Architectural Data Flow Analysis for Detecting Violations of Confidentiality Requirements

The data set contains the results of the validation, the docker image for conducting the validation and the source code of all developed projects to conduct the validation.

Distribution. Recorded from two localities in Papua New Guinea, Mt Missim in Morobe Province and Trans-Fly region of Western Province; it likely has a wider distribution, and there is a third possible record (as N. timoriensis) from Daru I that requires validation. in Vespertilionidae

Distribution. Recorded from two localities in Papua New Guinea, Mt Missim in Morobe Province and Trans-Fly region of Western Province; it likely has a wider distribution, and there is a third possible record (as N. timoriensis) from Daru I that requires validation.

Distribution. SW Russian Far East (Ussuri region), North and South Korea, Japan including many offshore Is (Tsushima, Yakushima, Tanegashima, Kuchinoshima, Takarajima, Amami-Oshima, Kakeroma-Jima, Tokunoshima, Okinawajima, Miyakojima, Irabu, Ishigakijima, Iriomotejima, and Yonagunijima), C, E & S China, Taiwan and Hainan Is, N Myanmar, N Laos, N & C Vietnam (including Cat Ba and Kaitien Is), and scattered records in NC, SC & NE India (Uttar Pradesh, Arunachal Pradesh, and Andhra Pradesh); there is a record from Sakhalin I, but this requires confirmation. in Vespertilionidae

Distribution. SW Russian Far East (Ussuri region), North and South Korea, Japan including many offshore Is (Tsushima, Yakushima, Tanegashima, Kuchinoshima, Takarajima, Amami-Oshima, Kakeroma-Jima, Tokunoshima, Okinawajima, Miyakojima, Irabu, Ishigakijima, Iriomotejima, and Yonagunijima), C, E & S China, Taiwan and Hainan Is, N Myanmar, N Laos, N & C Vietnam (including Cat Ba and Kaitien Is), and scattered records in NC, SC & NE India (Uttar Pradesh, Arunachal Pradesh, and Andhra Pradesh); there is a record from Sakhalin I, but this requires confirmation.

Distribution. WC Afghanistan (Nangarhar and Paktika provinces) and along the S Himalayas of N India (Himachal Pradesh and Uttarakhand) and W Nepal; it apparently occurs in N Pakistan, but this requires confirmation. in Vespertilionidae

Distribution. WC Afghanistan (Nangarhar and Paktika provinces) and along the S Himalayas of N India (Himachal Pradesh and Uttarakhand) and W Nepal; it apparently occurs in N Pakistan, but this requires confirmation.

opencc-by-4.0Apr 2022View details →

Replication Package - How Do Requirements Evolve During Elicitation? An Empirical Study Combining Interviews and App Store Analysis

This is the replication package for the paper titled "How Do Requirements Evolve During Elicitation? An Empirical Study Combining Interviews and App Store Analysis", by Alessio Ferrari, Paola Spoletini and Sourav Debnath.   The package contains the following folders and files.    **/Experiment Material** This folder contains the material used for the experiment, and provided to the participants. In particular, it includes the following files:   - Happy CampingTM_briefdescription.pdf/docx: brief description of the product for which requirements need to be elicited - Hw_description.pdf/docx: desciption of the tasks to be performed by the participants - Modeling_Intro_Slides.pdf: introductory slides to modelling for requirements engineering - Self-assessment Questionnaire.pdf: first questionnaire to self-assess the mistakes, from the SaPeer method (https://doi.org/10.1007/s00766-020-00334-0)  - Self-assessment Questionnaire (Second Interview).pdf: second questionnare to self-assess the mistakes, from the Sapeer method   **/R-analysis**   This is a folder containing all the R implementations of the the statistical tests included in the paper, together with the source .csv file used to produce the results. Each R file has the same title as the associated .csv file. The titles of the files reflect the RQs as they appear in the paper. The association between R files and Tables in the paper is as follows:   - RQ1-1-analyse-story-rates.R: Tabe 1, user story rates  - RQ1-1-analyse-role-rates.R: Table 1, role rates - RQ1-2-analyse-story-category-phase-1.R: Table 3, user story category rates in phase 1 compared to original rates - RQ1-2-analyse-role-category-phase-1.R: Table 5, role category rates in phase 1 compared to original rates - RQ2.1-analysis-app-store-rates-phase-2.R: Table 8, user story and role rates in phase 2 - RQ2.2-analysis-percent-three-CAT-groups-ph1-ph2.R: Table 9, comparison of the categories of user stories in phase 1 and 2 - RQ2.2-analysis-percent-two-CAT-roles-ph1-ph2.R: Table 10, comparison of the categories of roles in phase 1 and 2.     The .csv files used for statistical tests are also used to produce boxplots. The association betwee boxplot figures and files is as follows.    - RQ1-1-story-rates.csv: Figure 4  - RQ1-1-role-rates.csv: Figure 5 - RQ1-2-categories-phase-1.csv: Figure 8 - RQ1-2-role-category-phase-1.csv: Figure 9 - RQ2-1-user-story-and-roles-phase-2.csv: Figure 13 - RQ2.2-percent-three-CAT-groups-ph1-ph2.csv: Figure 14 - RQ2.2-percent-two-CAT-roles-ph1-ph2.csv: Figure 17 - IMG-only-RQ2.2-us-category-comparison-ph1-ph2.csv: Figure 15 - IMG-only-RQ2.2-frequent-roles.csv: Figure 18   NOTE: The last two .csv files do not have an associated statistical tests, but are used solely to produce boxplots.   **/Data-Analysis**   This folder contains all the data used to answer the research questions.    **RQ1.xlsx**: includes all the data associated to RQ1 subquestions, two tabs for each subquestion (one for user stories and one for roles). The names of the tabs are self-explanatory of their content.   **RQ2.1.xlsx**: includes all the data for the RQ1.1 subquestion. Specifically, it includes the following tabs:   * Data Source-US-category: for each category of user story, and for each analyst, there are two lines.  The first one reports the number of user stories in that category for phase 1, and the second one reports the number of user stories in that category for phase 2, considering the specific analyst.    * Data Source-role: for each category of role, and for each analyst, there are two lines.  The first one reports the number of user stories in that role for phase 1, and the second one reports the number of user stories in that role for phase 2, considering the specific analyst.    * RQ2.1 rates: reports the final rates for RQ2.1.  NOTE: The other tabs are used to support the computation of the final rates.   **RQ2.2.xlsx**: includes all the data for the RQ2.2 subquestion. Specifically, it includes the following tabs:   * Data Source-US-category: same as RQ2.1.xlsx   * Data Source-role: same as RQ2.1.xlsx   * RQ2.2-category-group: comparison between groups of categories in the different phases, used to produce Figure 14   * RQ2.2-role-group: comparison between role groups in the different phases, used to produce Figure 17   * RQ2.2-specific-roles-diff: difference between specific roles, used to produce Figure 18   **NOTE:** the other tabs are used to support the computation of the values reported in the tabs above.    **RQ2.2-single-US-category.xlsx**: includes the data for the RQ2.2 subquestion associated to single categories of user stories. A separate tab is used given the complexity of the computations.    * Data Source-US-category: same as RQ2.1.xlsx   * Totals: total number of user stories for each analyst in phase 1 and phase 2   * Results-Rate-Comparison: difference between rates of user stories in phase 1 and phase 2, used to produce the file "img/IMG-only-RQ2.2-us-category-comparison-ph1-ph2.csv", which is in turn used to produce Figure 15   * Results-Analysts: number of analysts using each novel category produced in phase 2, used to produce Figure 16. NOTE: the other tabs are used to support the computation of the values reported in the tabs above.    **RQ2.3.xlsx**: includes the data for the RQ2.3 subquestion. Specifically, it includes the following tabs:   * Data Source-US-category: same as RQ2.1.xlsx   * Data Source-role: same as RQ2.1.xlsx   * RQ2.3-categories: novel categories produced in phase 2, used to produce Figure 19   * RQ2-3-most-frequent-categories: most frequent novel categories   **/Raw-Data-Phase-I** The folder contains one Excel file for each analyst, s1.xlsx...s30.xlsx, plus the file of the original user stories with annotations (original-us.xlsx). Each file contains two tabs:   - Evaluation: includes the annotation of the user stories as existing user story in the original categories (annotated with "E"), novel user story in a certain category (refinement, annotated with "N"), and novel user story in novel category (Name of the category in column "New Feature"). **NOTE 1:** It should be noticed that in the paper the case "refinement" is said to be annotated with "R" (instead of "N", as in the files) to make the paper clearer and easy to read.    - Roles: roles used in the user stories, and count of the user stories belonging to a certain role.   **/Raw-Data-Phaes-II** The folder contains one Excel file for each analyst, s1.xlsx...s30.xlsx. Each file contains two tabs:   - Analysis: includes the annotation of the user stories as belonging to existing original  category (X), or to categories introduced after interviews, or to categories introduced  after app store inspired elicitation (name of category in "Cat. Created in PH1"), or to  entirely novel categories (name of category in "New Category").   - Roles: roles used in the user stories, and count of the user stories belonging to a certain role.   **/Figures**   This folder includes the figures reported in the paper. The boxplots are generated from the  data using the tool http://shiny.chemgrid.org/boxplotr/. The histograms and other plots are  produced with Excel, and are also reported in the excel files listed above.

opencc-zeroApr 2022View details →

Bringing Back the Manchester Argus Coenonympha tullia ssp. davus (Fabricius 1777): Quantifying the habitat resource requirements to inform the successful reintroduction of a specialist peatland butterfly

2021-30 has been designated the UN decade of ecosystem restoration. A landscape scale peatland restoration project is being undertaken on Chat Moss, Greater Manchester, UK, with conservation translocations an important component of this work. The Manchester Argus Coenonympha tullia ssp. davus, a specialist butterfly of lowland raised bogs in the northwest of England, UK is under threat due to severe habitat loss and degradation. A species reintroduction was planned for spring 2020. This study aimed to quantify the resource thresholds for C. tullia, in order to assess potential risks for the project. Thirteen peatland habitat patches with either recent historic or current C. tullia populations were surveyed for biotic and abiotic factors based on previous qualitative research on the species' requirements. Percentage cover of two habitat resources were found to be the strongest predictors in models of C. tullia presence: cross-leaved heath Erica tetralix and hair's-tail cotton-sedge Eriophorum vaginatum. Critical inflection points on logistic regression curves were used to make quantitative estimates of the minimum requirement of each resource for population survival and the near-optimum abundance of each resource. The results of this study improve our understanding of C. tullia's ecology and the restoration of peatlands for its reintroduction. Additionally, the method has wider utility for the quantitative assessment of habitat readiness before attempting species reintroductions.

Distribution. Tanzania (not extreme NW), extreme S DR Congo, Malawi, Mozambique, Zambia (not extreme N), S Angola, Namibia, Botswana, Zimbabwe, Swaziland, and N South Africa. Demarcation of the distribution between the Zambezi Kudu and the Northern Kudu (S. chora) in S Kenya and N Tanzania requires additional research. in Bovidae

Distribution. Tanzania (not extreme NW), extreme S DR Congo, Malawi, Mozambique, Zambia (not extreme N), S Angola, Namibia, Botswana, Zimbabwe, Swaziland, and N South Africa. Demarcation of the distribution between the Zambezi Kudu and the Northern Kudu (S. chora) in S Kenya and N Tanzania requires additional research.

Distribution. Lowlands of EC Ethiopia (Awash area) and NW Somalia. The exact southern limit of the Northern Lesser Kudu''s distribution in eastern Ethiopia requires additional research. in Bovidae

Distribution. Lowlands of EC Ethiopia (Awash area) and NW Somalia. The exact southern limit of the Northern Lesser Kudu''s distribution in eastern Ethiopia requires additional research.

opencc-zeroMay 2022View details →

Thermal ecology and baseline energetic requirements of a large-bodied ectotherm suggest resilience to climate change

Most studies on how rising temperatures will impact terrestrial ectotherms have focused on single populations or multiple sympatric species. Addressing the thermal and energetic implications of climatic variation on multiple allopatric populations of a species will help us better elucidate how a species may be impacted by altered climates. We used eight years of thermal and behavioral data collected from four populations of Pacific rattlesnakes (Crotalus oreganus) living in climatically distinct habitat types (inland and coastal) to determine the field-active and lab-preferred body temperatures, thermoregulatory metrics, and maintenance energetic requirements of snakes from each population. Physical models showed that thermal quality was best at coastal sites, but inland snakes thermoregulated more accurately despite being in more thermally constrained environments. Projected increases of 1 and 2 ºC in ambient temperature result in an increase in overall thermal quality at both coastal and inland sites. Population differences in modeled standard metabolic rate estimates were driven by body size and not field-active body temperature, with inland snakes requiring 1.6x more food annually than coastal snakes. All snakes thermoregulated with high accuracy, suggesting that small increases in ambient temperature are unlikely to impact the maintenance energetic requirements of individual snakes and that some species of large-bodied reptiles may be robust to modest thermal perturbations under conservative climate change predictions.

opennotspecifiedNov 2017View details →

Distribution. Widely distributed in S Africa (S DR Congo, Angola, Zambia, Malawi, S Tanzania, Mozambique, NE Namibia, N & SE Botswana, Zimbabwe, N South Africa, and Swaziland; isolated records from Ethiopia and Kenya require verification. in Nesomyidae

Distribution. Widely distributed in S Africa (S DR Congo, Angola, Zambia, Malawi, S Tanzania, Mozambique, NE Namibia, N & SE Botswana, Zimbabwe, N South Africa, and Swaziland; isolated records from Ethiopia and Kenya require verification.

opennotspecifiedMar 2013View details →

Distribution. NE Madagascar, known only from the Mananara-Nord region, with the only confirmed reports coming from the Ivontaka-Sud and Verezanantsoro (Ambinanibeorana) parcels of the Mananara-Nord Biosphere Reserve. The N and S limits of the range have not been defined, but they are tentatively assumed to be S of the Fahambahy or Mananara rivers and N of the Simianona, Sandratsio, or Maningory rivers, respectively. Additional surveys are required to determine the full extent of the distribution. in Lepilemuridae

Distribution. NE Madagascar, known only from the Mananara-Nord region, with the only confirmed reports coming from the Ivontaka-Sud and Verezanantsoro (Ambinanibeorana) parcels of the Mananara-Nord Biosphere Reserve. The N and S limits of the range have not been defined, but they are tentatively assumed to be S of the Fahambahy or Mananara rivers and N of the Simianona, Sandratsio, or Maningory rivers, respectively. Additional surveys are required to determine the full extent of the distribution.

opennotspecifiedMar 2013View details →

Distribution. East African coast from the Rufiji River in SE Tanzania to the Limpopo River in SE Mozambique, also inland in montane areas (e.g. Thyolo Mts of W Malawi) and extending W into Chimanimani, Zimbabwe; a record from Mt Namuli in Mozambique requires verification. in Galagidae

Distribution. East African coast from the Rufiji River in SE Tanzania to the Limpopo River in SE Mozambique, also inland in montane areas (e.g. Thyolo Mts of W Malawi) and extending W into Chimanimani, Zimbabwe; a record from Mt Namuli in Mozambique requires verification.

opencc-zeroJun 2022View details →

Lichen speciation is sparked by a substrate requirement shift and reproduction mode differentiation

We show that obligate lignicoles in lichenized Micarea are predominately asexual whereas most facultative lignicoles reproduce sexually.AQ1 Our phylogenetic analyses (ITS, mtSSU, Mcm7) together with ancestral state reconstruction show that the shift in reproduction mode has evolved independently several times within the group and that facultative and obligate lignicoles are sister species. The analyses support the assumption that the ancestor of these species was a facultative lignicole. We hypothezise that a shift in substrate requirement from bark to wood leads to differentiation in reproduction mode and becomes a driver of speciation. This is the first example of lichenized fungi where reproduction mode is connected to substrate requirement. This is also the first example where such an association is demonstrated to spark lichen speciation. Our main hypothesis is that obligate species on dead wood need to colonize new suitable substrata relatively fast and asexual reproduction is more effective a strategy for successful colonization.