cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/b6f418436088b14666a02467797ff1ad
title: Gloeotrichia echinulata density at four nearshore sites in Lake Sunapee, NH, USA from 2005-2016

description: Surface densities of Gloeotrichia echinulata, a filamentous colonial cyanobacterium, were collected at four nearshore sites in Lake Sunapee, NH, USA from 2005-2016. Lake Sunapee is a large (1667 hectare surface area), oligotrophic, north temperate lake used for drinking water and recreation with a primarily forested watershed and a moderately-developed shoreline. Samples were collected approximately weekly at Herrick Cove South and Newbury mid-July to September in 2005 and at Herrick Cove South late June to mid-September in 2006. Data collection at Herrick Cove South, Newbury, South of the Fells, and Sunapee Harbor occurred from mid-June to mid-September in 2007-2008 and from May to October in 2009-2016.
DOI: 10.6073/pasta/af14c8e8f2b0a793fab067536fb8abeb
title: Lake Sunapee Gloeotrichia echinulata density near-term hindcasts from 2015-2016 and meteorological model driver data, including shortwave radiation and precipitation from 2009-2016

description: Hindcasts were generated for density of Gloeotrichia echinulata, a toxin-producing cyanobacterium, at a nearshore site (South Herrick Cove) in Lake Sunapee, NH, USA, from May-October in 2015 and 2016 using several different Bayesian state-space models as part of a Global Lake Ecological Observatory Network working group project (Lofton et al. 20XX). Hindcasts were produced for one-week to four-week forecast horizons. Models ranged in complexity from a random walk to dynamic linear models with up to two environmental covariates. A subset of the model meteorological driver data for calibration and hindcasting was downloaded from the North American Land Data Assimilation System (NLDAS-2; https://ldas.gsfc.nasa.gov/nldas/) and the Parameter-elevation Regressions on Independent Slopes Model (PRISM; http://www.prism.oregonstate.edu/) for Lake Sunapee, New Hampshire, USA. The model driver data derived from NLDAS-2 data are daily summaries of solar radiation on G. echinulata sampling days from 2009-2016. The model driver data derived from PRISM data are daily sums of precipitation on G. echinulata sampling days from 2009-2016. All other model driver data are also published on the Environmental Data Initiative repository and are specified in the Notes and Comments of this data publication. All code to import data, calibrate models, and generate and analyze hindcasts are available on Github at https://github.com/GLEON/Bayes_forecast_WG/tree/eco_apps_release.
DOI: 10.6073/pasta/175cfde22aaeee7349285d2c9fd298d9
title: Lake Sunapee High Frequency Weather Data measured on buoy - 2007-2017

description: The Lake Sunapee instrumented buoy is equipped with a LICord Li19SB PAR sensor (2007-present), an air temperature sensor (HMP50 Vaisala, 2010-present), a wind speed/direction sensor (WMT50 Vaisala, 2010-present). Precise air temperature and wind sensor equipment unknown prior to 2010. These data have been QAQC'd to remove obviously errant readings, highly suspicious readings and artifacts of buoy maintenance. The buoy is also equipped with below-water surface sensors comprised of thermistors, DO sensors, chlorophyll-a and conductivity sensors. These data are available in separate datasets. The Lake Sunapee buoy is located at a location near Loon Island during the summer months and in the Lake Sunapee harbor during the winter months (2010-current) except the first few years of data (2007-2010), when the buoy was located near Loon Island all year.
DOI: 10.6084/m9.figshare.19496969
title: Sample data file

description: Example file for demonstration purposes
DOI: 10.17870/bathspa.15121155
title: D4D: Electric Bodies - 'Ways of Understanding' poetry and interview content

description: D4D (Disability and Community: Dis/engagement, Dis/enfranchisement, Dis/parity and Dissent) was a four year AHRC Connected Communities project investigating issues around disability and community.<br>Electric Bodies was one of the eight project strands. It explored the relationship between the disabled artist and the disability arts community through a series of extensive life history interviews edited into transcription poetry cycles.<br>'Ways of Understanding' is a cycle of transcription poems written by Allan Sutherland. They are based on interviews conducted by Sutherland with the artist, poet and journalist Colin Hambrook. <br><br>The poems cover Hambrook's childhood, his mother's schizophrenia and eventual sectioning, the damage done to his family by Jehovah's Witnesses, and his own psychosis and depression. Hambrook describes his development of an artistic practice that drew upon his personal experiences of mental health issues, particularly aided by his education as a student at Dartington College. He mentions his involvement with Survivors Poetry and his work on their first anthology 'Under the Asylum Tree'. Hambrook discusses his role as editor of Disability Arts in London magazine and as founding editor of the website Disability Arts Online. He talks about his two self-illustrated books of poetry, '100 Houses' and 'Knitting Time'.<br>Colin Hambrook was a Community Co-Investigator on the D4D project.<br><br>This item contains the following files:<br><br>The poems (PDF)Recording of Allan Sutherland reading the poems (MP3)Transcript of the interviews (PDF)Audio of the interviews (5 x MP3)<br><br><b>This content has been uploaded with the permission of the creators. This content is under copyright and may not be used without permission. Use of this repository acknowledges cooperation with its policies and relevant copyright law.</b>
DOI: 10.17870/bathspa.15121155.v1
title: D4D: Electric Bodies - 'Ways of Understanding' poetry and interview content

description: D4D (Disability and Community: Dis/engagement, Dis/enfranchisement, Dis/parity and Dissent) was a four year AHRC Connected Communities project investigating issues around disability and community.<br>Electric Bodies was one of the eight project strands. It explored the relationship between the disabled artist and the disability arts community through a series of extensive life history interviews edited into transcription poetry cycles.<br>'Ways of Understanding' is a cycle of transcription poems written by Allan Sutherland. They are based on interviews conducted by Sutherland with the artist, poet and journalist Colin Hambrook. <br><br>The poems cover Hambrook's childhood, his mother's schizophrenia and eventual sectioning, the damage done to his family by Jehovah's Witnesses, and his own psychosis and depression. Hambrook describes his development of an artistic practice that drew upon his personal experiences of mental health issues, particularly aided by his education as a student at Dartington College. He mentions his involvement with Survivors Poetry and his work on their first anthology 'Under the Asylum Tree'. Hambrook discusses his role as editor of Disability Arts in London magazine and as founding editor of the website Disability Arts Online. He talks about his two self-illustrated books of poetry, '100 Houses' and 'Knitting Time'.<br>Colin Hambrook was a Community Co-Investigator on the D4D project.<br><br>This item contains the following files:<br><br>The poems (PDF)Recording of Allan Sutherland reading the poems (MP3)Transcript of the interviews (PDF)Audio of the interviews (5 x MP3)<br><br><b>This content has been uploaded with the permission of the creators. This content is under copyright and may not be used without permission. Use of this repository acknowledges cooperation with its policies and relevant copyright law.</b>
DOI: 10.18434/mds2-2562
title: QICO2 Indoor Carbon Dioxide Metric Analysis Tool
DOI: 10.5281/zenodo.6406995
title: Integrating tick density and park visitor behaviors to assess the risk of tick exposure in urban parks on Staten Island, New York

description: <strong>Background</strong> Public green spaces are important for human health, but they may expose visitors to ticks and tick-borne pathogens. We sought to understand, for the first time, visitors’ exposure risk and drivers of tick-preventative behavior in three popular parks on Staten Island, New York City, NY, USA, by integrating tick hazard and park visitors’ behaviors, risk perceptions and knowledge. <strong>Methods</strong> We conducted tick sampling in three parks, across three site types (open spaces, the edge of open spaces and trails) and three within-park habitats (maintained grass, unmaintained herbaceous, and leaf litter) to estimate tick density during May-August 2019. Human behavior was assessed by observations of time spent and activity type in each site. We integrated the time spent in each location by park visitors and the tick density to estimate the probability of human-tick encounter. To assess visitors’ tick prevention behaviors, a knowledge, attitude, and practices (KAP) survey was administered. <strong>Results</strong> Three tick species (<em>Ixodes scapularis</em>, <em>Amblyomma americanum</em> and <em>Haemaphysalis longicornis) </em>were collected. For all species, the density of nymphs was greatest in unmaintained herbaceous habitats and trails, however, the fewest people entered these hazardous locations and parks. The KAP survey revealed that most respondents (N= 190) identified parks as the main location for tick exposure, but most believed they had minimal risk for tick encounter. Consequently, many visitors did not conduct tick checks. People were most likely to practice tick checks if they knew multiple prevention methods and perceived a high likelihood of tick encounter. <strong>Conclusions</strong> By integrating acarological indices with park visitor behaviors, we found a mismatch between areas with higher tick densities and areas more frequently used by park visitors. However, this exposure risk varied among demographic groups, the type of activities and parks, with a higher probability of human-tick encounters in trails compared to open spaces. Furthermore, we showed that people’s KAP did not change across parks even if parks represented different exposure risks. Our research is a first step towards identifying visitor risk, attitudes, and practices that could be targeted by optimized messaging strategies for tick bite prevention among park visitors.
DOI: 10.5281/zenodo.6406994
title: Integrating tick density and park visitor behaviors to assess the risk of tick exposure in urban parks on Staten Island, New York

description: <strong>Background</strong> Public green spaces are important for human health, but they may expose visitors to ticks and tick-borne pathogens. We sought to understand, for the first time, visitors’ exposure risk and drivers of tick-preventative behavior in three popular parks on Staten Island, New York City, NY, USA, by integrating tick hazard and park visitors’ behaviors, risk perceptions and knowledge. <strong>Methods</strong> We conducted tick sampling in three parks, across three site types (open spaces, the edge of open spaces and trails) and three within-park habitats (maintained grass, unmaintained herbaceous, and leaf litter) to estimate tick density during May-August 2019. Human behavior was assessed by observations of time spent and activity type in each site. We integrated the time spent in each location by park visitors and the tick density to estimate the probability of human-tick encounter. To assess visitors’ tick prevention behaviors, a knowledge, attitude, and practices (KAP) survey was administered. <strong>Results</strong> Three tick species (<em>Ixodes scapularis</em>, <em>Amblyomma americanum</em> and <em>Haemaphysalis longicornis) </em>were collected. For all species, the density of nymphs was greatest in unmaintained herbaceous habitats and trails, however, the fewest people entered these hazardous locations and parks. The KAP survey revealed that most respondents (N= 190) identified parks as the main location for tick exposure, but most believed they had minimal risk for tick encounter. Consequently, many visitors did not conduct tick checks. People were most likely to practice tick checks if they knew multiple prevention methods and perceived a high likelihood of tick encounter. <strong>Conclusions</strong> By integrating acarological indices with park visitor behaviors, we found a mismatch between areas with higher tick densities and areas more frequently used by park visitors. However, this exposure risk varied among demographic groups, the type of activities and parks, with a higher probability of human-tick encounters in trails compared to open spaces. Furthermore, we showed that people’s KAP did not change across parks even if parks represented different exposure risks. Our research is a first step towards identifying visitor risk, attitudes, and practices that could be targeted by optimized messaging strategies for tick bite prevention among park visitors.
DOI: 10.5281/zenodo.6391098
title: Active flutter suppression for light sport airplanes by a control surface split

description: The DataSet contains Matlab files to carried out a Modal Analysis, Flutter Analysis, Active Flutter Suppression and Dynamical response for developed mathematical model of the airplane.
DOI: 10.5281/zenodo.6391097
title: Active flutter suppression for light sport airplanes by a control surface split

description: The DataSet contains Matlab files to carried out a Modal Analysis, Flutter Analysis, Active Flutter Suppression and Dynamical response for developed mathematical model of the airplane.
DOI: 10.21223/fozt2l/laoih3
title: 02_Yield_potato.tab
DOI: 10.21223/fozt2l/qn2dfa
title: 01_Yield_sweetpotato.tab
DOI: 10.5281/zenodo.6403182
title: Seismic velocity models (Vp, Vs and Vp/Vs) of the Beaufort Sea continental margin

description: This folder contains the local tomography software (LOTOS, Koulakov et al. 2009), three-dimensional seismic velocity models (Vp, Vs and Vp/Vs) and the earthquake relocations presented in "Seismic evidence for a weakened thick crust at the Beaufort Sea continental margin" submitted to <em>Geophysical Research Letters</em>. Please consult the detailed description of these files provided by I. Koulakov (http://www.ivan-art.com/science/LOTOS/). Koulakov, I. (2009). LOTOS code for local earthquake tomographic inversion: Benchmarks for testing tomographic algorithms. Bulletin of the Seismological Society of America, 99 (1), 194–214. doi: https://doi.org/10.1785/0120080013
DOI: 10.5281/zenodo.6403181
title: Seismic velocity models (Vp, Vs and Vp/Vs) of the Beaufort Sea continental margin

description: This folder contains the local tomography software (LOTOS, Koulakov et al. 2009), three-dimensional seismic velocity models (Vp, Vs and Vp/Vs) and the earthquake relocations presented in "Seismic evidence for a weakened thick crust at the Beaufort Sea continental margin" submitted to <em>Geophysical Research Letters</em>. Please consult the detailed description of these files provided by I. Koulakov (http://www.ivan-art.com/science/LOTOS/). Koulakov, I. (2009). LOTOS code for local earthquake tomographic inversion: Benchmarks for testing tomographic algorithms. Bulletin of the Seismological Society of America, 99 (1), 194–214. doi: https://doi.org/10.1785/0120080013
DOI: 10.5281/zenodo.5835260
title: Twitter Data of the #BlackLivesMatter Movement And Counter Protests: 2013 to 2021

description: This data set contains all currently available tweets from the beginning of the Black Lives Matter (BLM) movement in 2013 to 2021. All tweets contain the following keywords BlackLivesMatter, AllLivesMatter, and BlueLivesMatter, or some variation (e.g., #blacklivesmatter or black lives matter). The data set consists of 63.9 million tweets from 13.0 million users from over 100 countries. Instructions on pulling the Twitter data from the Twitter API are here. Please use the following citation if you use this data in a paper: Giorgi, S., Guntuku, S. C., Himelein-Wachowiak, M., Kwarteng, A., Hwang, S., Rahman, M., & Curtis, B. (2022). Twitter Corpus of the #BlackLivesMatter Movement And Counter Protests: 2013 to 2021. In <em>Proceedings of the International AAAI Conference on Web and Social Media</em>
DOI: 10.5281/zenodo.4056562
title: Twitter Data of the #BlackLivesMatter Movement And Counter Protests: 2013 to 2021

description: This data set contains all currently available tweets from the beginning of the Black Lives Matter (BLM) movement in 2013 to 2021. All tweets contain the following keywords BlackLivesMatter, AllLivesMatter, and BlueLivesMatter, or some variation (e.g., #blacklivesmatter or black lives matter). The data set consists of 63.9 million tweets from 13.0 million users from over 100 countries. Instructions on pulling the Twitter data from the Twitter API are here. Please use the following citation if you use this data in a paper: Giorgi, S., Guntuku, S. C., Himelein-Wachowiak, M., Kwarteng, A., Hwang, S., Rahman, M., & Curtis, B. (2022). Twitter Corpus of the #BlackLivesMatter Movement And Counter Protests: 2013 to 2021. In <em>Proceedings of the International AAAI Conference on Web and Social Media</em>
DOI: 10.5517/ccdc.csd.cc297pcm
title: CCDC 2122550: Experimental Crystal Structure Determination

description: Related Article: Dariusz Osypiuk, Beata Cristóvão, Liliana Mazur|2022|J.Mol.Struct.|1261|132924|doi:10.1016/j.molstruc.2022.132924
DOI: 10.21223/drwbk2/8hnyaw
title: 15_Mbatabata.rar

description: :unav
DOI: 10.21223/drwbk2/fnlns1
title: 02_Kanyamitara.rar

description: :unav
DOI: 10.21223/drwbk2/vchr0o
title: 22_Gisensero.rar

description: :unav
DOI: 10.21223/drwbk2/9tunua
title: 01_RABStation.rar

description: :unav
DOI: 10.21223/drwbk2/cdmmco
title: 18_Rungu.rar

description: :unav
DOI: 10.21223/drwbk2/xaa9mo
title: 16_Gasiza.rar

description: :unav
DOI: 10.21223/drwbk2/aegqzb
title: 20_RubayaTeaFactory.rar

description: :unav
DOI: 10.21223/drwbk2/nhfqtz
title: 10_Nyamicucu.rar

description: :unav
DOI: 10.21223/drwbk2/vnmjab
title: 05_Karwasa.rar

description: :unav
DOI: 10.21223/drwbk2/vr1ffz
title: 03_Gakoro.rar

description: :unav
DOI: 10.21223/drwbk2/yv1u2u
title: 06_Karangara.rar

description: :unav
DOI: 10.21223/drwbk2/y5cemo
title: 21_Nyundo.rar

description: :unav
DOI: 10.21223/drwbk2/pbzlmu
title: 23_Musezero.rar

description: :unav
DOI: 10.21223/drwbk2/dpufs9
title: 12_Ruconsho.rar

description: :unav
DOI: 10.21223/drwbk2/w2tar9
title: 11_Ruhanga.rar

description: :unav
DOI: 10.21223/drwbk2/vat6ob
title: 04_Bikara.rar

description: :unav
DOI: 10.21223/drwbk2/oim6ne
title: 25_Mutanda.rar

description: :unav
DOI: 10.21223/drwbk2/nlblqr
title: 14_Nganzo.rar

description: :unav
DOI: 10.21223/drwbk2/qj1wz2
title: 19_Gitega.rar

description: :unav
DOI: 10.21223/drwbk2/0gony9
title: 17_Muhabura.rar

description: :unav
DOI: 10.21223/drwbk2/e4qvd5
title: 07_Kagitega.rar

description: :unav
DOI: 10.21223/drwbk2/5wna8w
title: 09_Bugamba.rar

description: :unav
DOI: 10.15156/bio/sh0864532.10fu
title: SH0864532.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0864533.10fu
title: SH0864533.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0864534.10fu
title: SH0864534.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0864535.10fu
title: SH0864535.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.