cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/0a9c2e2a742009bd32758016049549eb
title: MCR LTER: Coral Reef: Long-term Population and Community Dynamics: Corals, ongoing since 2005 (Reformatted to a Darwin Core Archive)

description: This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/277/3, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-mcr/4/38. The abstract below was extracted from the Level 0 data package and is included for context: This dataset contains the percentage cover of the stony corals (Scleractinia) and other major groups analyzed from 0.5 x 0.5 m photographic quadrats in several reef habitats at the Moorea Coral Reef LTER, French Polynesia. This survey has been repeated annually in April since 2005. There are two tables available, providing different views of the same data: a long table having all values in one column and a wide table having a separate column for each dependent variable. Functional groups (i.e., dependent variables) counted are: Scleractinian Corals (by genus where appropriate, see methods), Macroalgae, Crustose Coralline Algae / Bare Space, Soft Corals, Hydrocorals (Millepora), Algal Turf and Sand. The coral community was sampled photographically in all habitats surrounding the island: Fringing Reef, Lagoon (Backreef), and Outer Reef (Forereef.) The sampling regime consists of a repeated-measures protocol in each habitat, and is structured by habitat to allow a statistical contrast of sites, shores, times, and in the case of the outer reef, depths. Detailed methods are available in the protocols section. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2020). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
DOI: 10.6073/pasta/c46c1bdb893d0068843c37f7a1c3719f
title: MCR LTER: Coral Reef: Long-term Community Dynamics: Backreef (Lagoon) Corals Annual Survey, ongoing since 2005 (Reformatted to a Darwin Core Archive)

description: This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/321/3, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-mcr/1038/10. The abstract below was extracted from the Level 0 data package and is included for context: This dataset contains the percentage cover of all stony corals (Scleractinia, pooled among genera) and other major groups analyzed from 0.5 x 0.5 m photographic quadrats at the Backreef habitat at the Moorea Coral Reef LTER, French Polynesia. This survey time series began in 2005 and is repeated each year in April. Functional groups counted are: Scleractinian corals, Macroalgae, Crustose Coralline Algae / Bare Space, Soft Corals, Hydrocorals (Millepora), Algal Turf and Sand. The coral community was sampled photographically in all represented habitats surrounding the island: Fringing Reef, Lagoon, and Outer Reef. This dataset contains only Lagoon (Backreef) data (see knb-lter-mcr.4 for the other habitats) and is structured in a repeated-measures protocol to allow a statistical contrast of sites, shores and times. Community structure was determined through a coarse analysis of the benthic community, initially completed in situ (2005), but using photoquadrats from 2006. There are quadrats analyzed at each of five areas within each site, and the areas are revisited (but not the quadrats) each year to support the repeated measures design. There are two tables available, providing different views of the same data: a long table having all values in one column and a wide table having a separate column for each observed object. Detailed methods are available in the protocols section. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2018). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
DOI: 10.5281/zenodo.5156158
title: Phenomenological EOS Data Set

description: The MATLAB workspace file eos_data_set.mat contains the parameters and physical properties of 1,966,225 phenomenological neutron star (NS) equations of state (EOS).
DOI: 10.5281/zenodo.3954899
title: Phenomenological EOS Data Set

description: The MATLAB workspace file eos_data_set.mat contains the parameters and physical properties of 1,966,225 phenomenological neutron star (NS) equations of state (EOS).
DOI: 10.15468/u4mxzm
title: A New Species of Pseudactium Casey (Coleoptera: Staphylinidae: Pselaphinae) From Tennessee, USA

description: This dataset contains the digitized treatments in Plazi based on the original journal article Owens, Brittany E., Carlton, Christopher E. (2017): A New Species of Pseudactium Casey (Coleoptera: Staphylinidae: Pselaphinae) From Tennessee, USA. The Coleopterists Bulletin 71 (3): 468-470, DOI: 10.1649/0010-065X-71.3.468, URL: http://dx.doi.org/10.1649/0010-065x-71.3.468
DOI: 10.5281/zenodo.5156189
title: Sentiment Analysis and Cross-lingual Word Embeddings for Endangered Languages

description: A sentiment analyzer and cross-lingual word embeddings for endangered languages (e.g., Erzya, Moksha, Skolt Sami, Komi-Zyrian).
DOI: 10.5281/zenodo.4624113
title: Sentiment Analysis and Cross-lingual Word Embeddings for Endangered Languages

description: A sentiment analyzer and cross-lingual word embeddings for endangered languages (e.g., Erzya, Moksha, Skolt Sami, Komi-Zyrian).
DOI: 10.5281/zenodo.4677097
title: Pitch Audio Dataset (Surge synthesizer)

description: 3.4 hours of audio synthesized using the open-source Surge synthesizer, based upon 2084 presets included in the Surge package. These represent ``natural'' synthesis sounds---i.e.presets devised by humans. We generated 4-second samples playing at velocity 64 with a note-on duration of 3 seconds. For each preset, we varied only the pitch, from MIDI 21--108, the range of a grand piano. Every sound in the dataset was RMS-level normalized using the normalize package. There was no elegant way to dedup this dataset; however only a small percentage of presets (like drums and sound effects) had no perceptual pitch variation or ordering. We used the Surge Python API to generate this dataset. Applications of this dataset include: Pitch prediction Pitch ranking within a preset Predict a sound's preset If you use this dataset in published researched, please cite Turian et al., "One Billion Audio Sounds from GPU-enabled Modular Synthesis", in Proceedings of the 23rd International Conference on Digital Audio Effects (DAFx2020), 2021: @inproceedings{turian2021torchsynth,<br> title = {One Billion Audio Sounds from {GPU}-enabled Modular Synthesis},<br> author = {Joseph Turian and Jordie Shier and George Tzanetakis and Kirk McNally and Max Henry},<br> year = 2021,<br> month = Sep,<br> booktitle = {Proceedings of the 23rd International Conference on Digital Audio Effects (DAFx2020)},<br> location = {Vienna, Austria}<br> }
description: {"references": ["Turian et. al (2021). One Billion Audio Sounds from GPU-enabled Modular Synthesis. arXiv:2104.12922"]}
DOI: 10.5281/zenodo.4677096
title: Pitch Audio Dataset (Surge synthesizer)

description: 3.4 hours of audio synthesized using the open-source Surge synthesizer, based upon 2084 presets included in the Surge package. These represent ``natural'' synthesis sounds---i.e.presets devised by humans. We generated 4-second samples playing at velocity 64 with a note-on duration of 3 seconds. For each preset, we varied only the pitch, from MIDI 21--108, the range of a grand piano. Every sound in the dataset was RMS-level normalized using the normalize package. There was no elegant way to dedup this dataset; however only a small percentage of presets (like drums and sound effects) had no perceptual pitch variation or ordering. We used the Surge Python API to generate this dataset. Applications of this dataset include: Pitch prediction Pitch ranking within a preset Predict a sound's preset If you use this dataset in published researched, please cite Turian et al., "One Billion Audio Sounds from GPU-enabled Modular Synthesis", in Proceedings of the 23rd International Conference on Digital Audio Effects (DAFx2020), 2021: @inproceedings{turian2021torchsynth,<br> title = {One Billion Audio Sounds from {GPU}-enabled Modular Synthesis},<br> author = {Joseph Turian and Jordie Shier and George Tzanetakis and Kirk McNally and Max Henry},<br> year = 2021,<br> month = Sep,<br> booktitle = {Proceedings of the 23rd International Conference on Digital Audio Effects (DAFx2020)},<br> location = {Vienna, Austria}<br> }
description: {"references": ["Turian et. al (2021). One Billion Audio Sounds from GPU-enabled Modular Synthesis. arXiv:2104.12922"]}
DOI: 10.5517/ccdc.csd.cc1n0j7f
title: CCDC 1519844: Experimental Crystal Structure Determination

description: Related Article: Ayon Kanti Ghosh, Hare Ram Yadav, Angshuman Roy Choudhury, N Duraipandian, Manikantan Symala Kiran, Rajarshi Ghosh|2017|Indian J.Chem.,Sect.A:Inorg.,Bio-inorg.,Phys.,Theor.Anal.Chem.|56A|616|
DOI: 10.3886/e146641
title: Data Collection Tool For: Egypt’s ICT Reform: Adoption Decisions and Perspectives of Secondary School Teachers During COVID-19

description: These files include the data collection tool (and its English translation) for the study: "Egypt’s ICT Reform: Adoption Decisions and Perspectives of Secondary School Teachers During COVID-19." The main tool used was the Arabic version as it was distributed in an Arabic-speaking context.<br><br>The abstract for this study can be found below:<br><br>This descriptive quantitative survey study explored the perspectives of 221 secondary school teachers from 19 Egyptian governorates on the ICT component of the 2017 reform in education. Data was collected during the novel context and mandates dictated by the widespread COVID19. The main indicators of teachers’ perspectives were adopted from Roger’s Diffusion of Innovation Theory, while their digital competencies were aligned with the levels of the UNESCO ICT Competency Framework. The study found that the majority of participants hold positive perspectives on the relative advantage of ICT-integration, average perspectives on its complexity, and negative perspectives on its compatibility with Egypt's education needs and main priorities. It further highlights the presence of multiple challenges that may affect teachers’ decision to adopt/reject the ICT-reform, including the human and technological infrastructures as well as communication. The insights gained from this study may assist in understanding teachers' level of persuasion, sources of social resistance, and needed capacity building. <br>
description: non-probabilistic voluntary, convenient, and snowballing sampling methods
description: Secondary school teachers working in the Egyptian national education system.
description: web-based survey; The survey was distributed online and completed by participants on google forms.
DOI: 10.5517/ccdc.csd.cc23kgjp
title: CCDC 1953202: Experimental Crystal Structure Determination

description: Related Article: Nimrod M. Eren, Samantha A. Orr, Christopher D. Thompson, Emily C. Border, Michael A. Stevens, Victoria L. Blair|2020|Organometallics|39|2080|doi:10.1021/acs.organomet.0c00144
DOI: 10.3886/e146641v1
title: Data Collection Tool For: Egypt’s ICT Reform: Adoption Decisions and Perspectives of Secondary School Teachers During COVID-19

description: These files include the data collection tool (and its English translation) for the study: "Egypt’s ICT Reform: Adoption Decisions and Perspectives of Secondary School Teachers During COVID-19." The main tool used was the Arabic version as it was distributed in an Arabic-speaking context.<br><br>The abstract for this study can be found below:<br><br>This descriptive quantitative survey study explored the perspectives of 221 secondary school teachers from 19 Egyptian governorates on the ICT component of the 2017 reform in education. Data was collected during the novel context and mandates dictated by the widespread COVID19. The main indicators of teachers’ perspectives were adopted from Roger’s Diffusion of Innovation Theory, while their digital competencies were aligned with the levels of the UNESCO ICT Competency Framework. The study found that the majority of participants hold positive perspectives on the relative advantage of ICT-integration, average perspectives on its complexity, and negative perspectives on its compatibility with Egypt's education needs and main priorities. It further highlights the presence of multiple challenges that may affect teachers’ decision to adopt/reject the ICT-reform, including the human and technological infrastructures as well as communication. The insights gained from this study may assist in understanding teachers' level of persuasion, sources of social resistance, and needed capacity building. <br>
description: non-probabilistic voluntary, convenient, and snowballing sampling methods
description: Secondary school teachers working in the Egyptian national education system.
description: web-based survey; The survey was distributed online and completed by participants on google forms.
DOI: 10.6073/pasta/e9b4be2c2fc3a7978f79c5a8763a2700
title: Interagency Ecological Program and US Fish and Wildlife Service: San Francisco Estuary Enhanced Delta Smelt Monitoring Program data, 2016-2021

description: The Enhanced Delta Smelt Monitoring Program (EDSM) was initiated by the U.S. Fish and Wildlife Service in 2016. EDSM focuses on providing real-time data to help managers respond to population patterns of Delta Smelt within the upper San Francisco Estuary, primarily by providing estimates of Delta Smelt distribution and abundance. The dataset can also be useful in evaluating habitat use and behavior patterns of this species and other fish species of interest. Sampling is done year round via Kodiak trawls and larval (“20-mm”) gear to sample Delta Smelt across most life stages. Sites are chosen via stratified random sampling. Over the course of a week, field crews sample between 18 and 41 random sites. A minimum of two tows are conducted at each site. All fish collected are identified (in the field when possible, in the lab for early life stages), measured, enumerated, and recorded. In addition to fish information, environmental data are collected for each sampling event. For more information: https://www.fws.gov/lodi/juvenile_fish_monitoring_program/jfmp_index.htm
DOI: 10.6084/m9.figshare.12962612
title: Nutrient budgets calculated in floodwaters using a whole-ecosystem reservoir creation and flooding experiment

description: Data collected during the FLooded Upland Dynamics EXperiment (FLUDEX) at the IISD-Experimental Lakes Area (ELA) in northwestern Ontario, where three upland boreal forest sites were flooded to create experimental reservoirs. Sites were categorized as low, medium, and high carbon based on carbon stored in vegetation, litter, and soil. Measured water budget components for each reservoir include water pumped into each reservoir (inflow), water exiting over weirs, runoff, and direct precipitation inputs. Water chemistry components measured during the experiment include total dissolved nitrogen (TDN), particulate nitrogen (PN), total dissolved phosphorus (TDP), and particulate phosphorus (PP). These components were measured in water pumped into reservoirs (inflow), runoff, water exiting reservoirs over weirs, and within each reservoir at multiple depths in the water column. Other measured components include dissolved oxygen (DO) and water temperature. Nitrogen (N) and phosphorus (P) content in periphyton was also measured to estimate nutrients stored in reservoirs.
DOI: 10.6084/m9.figshare.12962612.v1
title: Nutrient budgets calculated in floodwaters using a whole-ecosystem reservoir creation and flooding experiment

description: Data collected during the FLooded Upland Dynamics EXperiment (FLUDEX) at the IISD-Experimental Lakes Area (ELA) in northwestern Ontario, where three upland boreal forest sites were flooded to create experimental reservoirs. Sites were categorized as low, medium, and high carbon based on carbon stored in vegetation, litter, and soil. Measured water budget components for each reservoir include water pumped into each reservoir (inflow), water exiting over weirs, runoff, and direct precipitation inputs. Water chemistry components measured during the experiment include total dissolved nitrogen (TDN), particulate nitrogen (PN), total dissolved phosphorus (TDP), and particulate phosphorus (PP). These components were measured in water pumped into reservoirs (inflow), runoff, water exiting reservoirs over weirs, and within each reservoir at multiple depths in the water column. Other measured components include dissolved oxygen (DO) and water temperature. Nitrogen (N) and phosphorus (P) content in periphyton was also measured to estimate nutrients stored in reservoirs.
DOI: 10.25390/caryinstitute.13717963.v2
title: Supplementary Tables and Figures

description: Supplementary tables and figures for the manuscript. Supplementary tables 1 and 2 describe the trait variables used in our vertebrate and mammal datasets. In addition to variable names, we provide a description of the trait, units for each variable, the original source of the trait variable, percent coverage across the species in our dataset, and additional notes. Supplementary table 3 describes the results of our various models. For each model described in the main text or Supplementary Methods, we present the parameters determined from a grid search and the evaluation statistics from bootstrapping.Also included are supplementary figures that are associated with Figure 3 (Supplementary Figures 1-4 showing the HADDOCK score distributions of various classes) and Figure 4 (Supplementary Figures 5-6 showing the distribution of model results for a select group of families). Supplementary Figure 7 is related to the 50 bootstrap iterations used to evaluate our model.
DOI: 10.25390/caryinstitute.13717963.v1
title: Supplementary File 2 - Fischhoff et al. 2021

description: Supplementary tables 1 and 2 describing the trait variables used in our vertebrate and mammal datasets. In addition to variable names, we provide a description of the trait, units for each variable, the original source of the trait variable, percent coverage across the species in our dataset, and additional notes.
DOI: 10.6084/m9.figshare.15099411
title: Facial–vestibulocochlear Nerve Template

description: Automated Facial–vestibulocochlear nerve identification based on data-driven tractography clustering
DOI: 10.6084/m9.figshare.15099411.v1
title: Facial–vestibulocochlear Nerve Template

description: Automated Facial–vestibulocochlear nerve identification based on data-driven tractography clustering
DOI: 10.3886/e146761
title: Determinants of Dual Enrollment Access: A National Examination of Institutional Context and State Policies

description: Included are the program files and some of the data files used to generate estimates presented in the 2021 AERA Open article titled “Determinants of Dual Enrollment Access: A National Examination of Institutional Context and State Policies.” The abstract is provided below:<br><br>Despite considerable growth in rates of participation in recent years, concerns remain about disparities in access to dual enrollment programs. On one hand, there are questions regarding who has access: which students are most disadvantaged and which schools fail to offer the opportunity at all? On the other hand, there has been little clarity about what helps to improve access—in particular, what is the role of state policies in this effort? Using nationally representative data sources, this study uses a multilevel approach to understand how dual enrollment participation varies at the level of states, schools, and students. The findings reveal that policy mandates are among the strongest predictors of dual enrollment participation. Furthermore, schools serving greater proportions of racially minoritized students are the least likely to offer dual enrollment, but within schools, students from lower socioeconomic backgrounds have a lower probability of participating relative to their more affluent peers.
DOI: 10.3886/e146761v1
title: Determinants of Dual Enrollment Access: A National Examination of Institutional Context and State Policies

description: Included are the program files and some of the data files used to generate estimates presented in the 2021 AERA Open article titled “Determinants of Dual Enrollment Access: A National Examination of Institutional Context and State Policies.” The abstract is provided below:<br><br>Despite considerable growth in rates of participation in recent years, concerns remain about disparities in access to dual enrollment programs. On one hand, there are questions regarding who has access: which students are most disadvantaged and which schools fail to offer the opportunity at all? On the other hand, there has been little clarity about what helps to improve access—in particular, what is the role of state policies in this effort? Using nationally representative data sources, this study uses a multilevel approach to understand how dual enrollment participation varies at the level of states, schools, and students. The findings reveal that policy mandates are among the strongest predictors of dual enrollment participation. Furthermore, schools serving greater proportions of racially minoritized students are the least likely to offer dual enrollment, but within schools, students from lower socioeconomic backgrounds have a lower probability of participating relative to their more affluent peers.
DOI: 10.34740/kaggle/dsv/2495910
title: BART Ridership
DOI: 10.5281/zenodo.5156186
title: Pragmatic prediction in the processing of referring expressions containing scalar quantifiers

description: Data and analysis scripts pertaining to a study by Macuch Silva & Franke (submitted).
DOI: 10.5281/zenodo.4483734
title: Pragmatic prediction in the processing of referring expressions containing scalar quantifiers

description: Data and analysis scripts pertaining to a study by Macuch Silva & Franke (submitted).