cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/rrf5tb
title: Patterns of head shape and scutellation in Drymarchon couperi (Squamata: Colubridae) reveal a single species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Guyer, Craig, Folt, Brian, Hoffman, Michelle, Stevenson, Dirk, Goetz, Scott M., Miller, Melissa A., Godwin, James C. (2019): Patterns of head shape and scutellation in Drymarchon couperi (Squamata: Colubridae) reveal a single species. Zootaxa 4695 (2): 168-174, DOI: https://doi.org/10.11646/zootaxa.4695.2.6
DOI: 10.5281/zenodo.3998656
title: Extended RAM Legacy Stock Assessment Database version 4.46

description: Extended RAM Legacy Stock Assessment Database version 4.46 Please be aware that this ‘mdl’ ('model fits included') version 4.46 of the RAM Legacy Stock Assessment Database (RAMLDB) additionally includes data not contained in the assessments themselves, but generated from assessment data. Generated data are used to fill in gaps where possible, for example, if stock assessments do not include reference point estimates. Supplemented data include calculations from assessment values, conversions of biomass variables, and reference points estimated post-hoc with surplus production models. The ‘Documents’ folder includes documentation files on the methods used for these calculations, conversions and model fitting. When assessment data are available, they are used preferentially in all cases.<br> <br> Although we identify data that were supplemented from data that were derived from stock assessments, some collector variables in RAMLDB include both of these data sources (with assessment values preferred). We recommend that the average user does not use this 'mdl' version of RAMLDB because of the additional assumptions and calculations involved. Instead, to avoid confusion between assessment-derived values and supplemented values, we recommend using the ‘asmt’ ('assessment data only') version of RAMLDB version 4.46. This 'asmt' version (10.5281/zenodo.3676083) is also available in our Zenodo repository: https://zenodo.org/communities/rlsadb/
DOI: 10.5281/zenodo.3998655
title: Extended RAM Legacy Stock Assessment Database version 4.46

description: Extended RAM Legacy Stock Assessment Database version 4.46 Please be aware that this ‘mdl’ ('model fits included') version 4.46 of the RAM Legacy Stock Assessment Database (RAMLDB) additionally includes data not contained in the assessments themselves, but generated from assessment data. Generated data are used to fill in gaps where possible, for example, if stock assessments do not include reference point estimates. Supplemented data include calculations from assessment values, conversions of biomass variables, and reference points estimated post-hoc with surplus production models. The ‘Documents’ folder includes documentation files on the methods used for these calculations, conversions and model fitting. When assessment data are available, they are used preferentially in all cases.<br> <br> Although we identify data that were supplemented from data that were derived from stock assessments, some collector variables in RAMLDB include both of these data sources (with assessment values preferred). We recommend that the average user does not use this 'mdl' version of RAMLDB because of the additional assumptions and calculations involved. Instead, to avoid confusion between assessment-derived values and supplemented values, we recommend using the ‘asmt’ ('assessment data only') version of RAMLDB version 4.46. This 'asmt' version (10.5281/zenodo.3676083) is also available in our Zenodo repository: https://zenodo.org/communities/rlsadb/
DOI: 10.6073/pasta/ef591b27f6336849868626e48ef588ee
title: University of Michigan Biological Station Weather Observations 1980 to Present

description: This data set includes daily year-round weather measurements and observations recorded at the University of Michigan Biological Station (UMBS) from 1980-present. Data primarily serves the purpose of benefitting UMBS researchers needing access to weather data as a confounding variable. Parameters include maximum and minimum temperatures, precipitation, snowfall, snowpack, and estimated cloud cover and type recorded daily at approximately 08:00. Maximum and minimum temperatures were measured at the Biological Station campus with National Weather Service liquid-in-glass thermometers housed in a Weather Service (a.k.a., Cotton Region) shelter located on State Road. Precipitation was measured with either a Belfort Rainfall Transmitter 5915 or an ETI NOAH IV Total Precipitation Gauge in the “UV Field” located immediately northwest of the Biological Station campus. Snowfall and snowpack were also measured in the UV Field on snowboards using National Weather Service according to National Weather Service snow measurement guidelines. Cloud cover was estimated in oktas and classified into one of the ten basic cloud types.
DOI: 10.5517/ccdc.csd.cc24p6dg
title: CCDC 1986585: Experimental Crystal Structure Determination

description: Related Article: Xiao-Gang Yang, Zhi-Min Zhai, Xiao-Min Lu, Jian-Hua Qin, Fei-Fei Li, Lu-Fang Ma|2020|Inorg.Chem.|59|10395|doi:10.1021/acs.inorgchem.0c01415
DOI: 10.5517/ccdc.csd.cc24p6cf
title: CCDC 1986584: Experimental Crystal Structure Determination

description: Related Article: Xiao-Gang Yang, Zhi-Min Zhai, Xiao-Min Lu, Jian-Hua Qin, Fei-Fei Li, Lu-Fang Ma|2020|Inorg.Chem.|59|10395|doi:10.1021/acs.inorgchem.0c01415
DOI: 10.5517/ccdc.csd.cc25bc63
title: CCDC 2005954: Experimental Crystal Structure Determination

description: Related Article: Mohan Gopalakrishnan, Nuttaporn Krittametaporn, Nobuto Yoshinari, Takumi Konno, Preeyanuch Sangtrirutnugul|2020|New J.Chem.|44|13764|doi:10.1039/D0NJ02832K
DOI: 10.5517/ccdc.csd.cc25bbrm
title: CCDC 2005940: Experimental Crystal Structure Determination

description: Related Article: Mohan Gopalakrishnan, Nuttaporn Krittametaporn, Nobuto Yoshinari, Takumi Konno, Preeyanuch Sangtrirutnugul|2020|New J.Chem.|44|13764|doi:10.1039/D0NJ02832K
DOI: 10.5517/ccdc.csd.cc25rkl3
title: CCDC 2018645: Experimental Crystal Structure Determination

description: Related Article: Adrian Saura-Sanmartin, Alberto Martinez-Cuezva, Delia Bautista, Mara R. B. Marzari, Marcos A. P. Martins, Mateo Alajarin, Jose Berna|2020|J.Am.Chem.Soc.|142|13442|doi:10.1021/jacs.0c04477
DOI: 10.5517/ccdc.csd.cc25rkm4
title: CCDC 2018646: Experimental Crystal Structure Determination

description: Related Article: Adrian Saura-Sanmartin, Alberto Martinez-Cuezva, Delia Bautista, Mara R. B. Marzari, Marcos A. P. Martins, Mateo Alajarin, Jose Berna|2020|J.Am.Chem.Soc.|142|13442|doi:10.1021/jacs.0c04477
DOI: 10.5517/ccdc.csd.cc25rks9
title: CCDC 2018651: Experimental Crystal Structure Determination

description: Related Article: Yury Lebedev, Chirag Apte, Susan Cheng, Cyrille Lavigne, Alan Lough, Alán Aspuru-Guzik, Dwight S. Seferos, Andrei K. Yudin|2020|J.Am.Chem.Soc.|142|13544|doi:10.1021/jacs.0c05410
DOI: 10.5517/ccdc.csd.cc25rktb
title: CCDC 2018652: Experimental Crystal Structure Determination

description: Related Article: Yury Lebedev, Chirag Apte, Susan Cheng, Cyrille Lavigne, Alan Lough, Alán Aspuru-Guzik, Dwight S. Seferos, Andrei K. Yudin|2020|J.Am.Chem.Soc.|142|13544|doi:10.1021/jacs.0c05410
DOI: 10.5517/ccdc.csd.cc25rkvc
title: CCDC 2018653: Experimental Crystal Structure Determination

description: Related Article: Yury Lebedev, Chirag Apte, Susan Cheng, Cyrille Lavigne, Alan Lough, Alán Aspuru-Guzik, Dwight S. Seferos, Andrei K. Yudin|2020|J.Am.Chem.Soc.|142|13544|doi:10.1021/jacs.0c05410
DOI: 10.5517/ccdc.csd.cc25rkwd
title: CCDC 2018654: Experimental Crystal Structure Determination

description: Related Article: Yury Lebedev, Chirag Apte, Susan Cheng, Cyrille Lavigne, Alan Lough, Alán Aspuru-Guzik, Dwight S. Seferos, Andrei K. Yudin|2020|J.Am.Chem.Soc.|142|13544|doi:10.1021/jacs.0c05410
DOI: 10.5517/ccdc.csd.cc25rkxf
title: CCDC 2018655: Experimental Crystal Structure Determination

description: Related Article: Yury Lebedev, Chirag Apte, Susan Cheng, Cyrille Lavigne, Alan Lough, Alán Aspuru-Guzik, Dwight S. Seferos, Andrei K. Yudin|2020|J.Am.Chem.Soc.|142|13544|doi:10.1021/jacs.0c05410
DOI: 10.15468/yh8463
title: One new species of the genus Xizicus Gorochov, 1993 (Orthoptera: Tettigoniidae Meconematinae) from Guangxi, China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Chen, Lixuan, Mao, Shaoli, Chang, Yanlin (2019): One new species of the genus Xizicus Gorochov, 1993 (Orthoptera: Tettigoniidae Meconematinae) from Guangxi, China. Zootaxa 4652 (1): 196-200, DOI: https://doi.org/10.11646/zootaxa.4652.1.14
DOI: 10.15468/n837x8
title: Comments on the taxonomic validity of Camptodontornis yangi (Li, Gong, Zhang Yang, and Hou, 2010) and its relationships to Longipteryx chaoyangensis Zhang Zhou, Hou, and Gu, 2000 and Boluochia zhengi Zhou, 1995

description: This dataset contains the digitized treatments in Plazi based on the original journal article Yun, Chan-Gyu (2019): Comments on the taxonomic validity of Camptodontornis yangi (Li, Gong, Zhang Yang, and Hou, 2010) and its relationships to Longipteryx chaoyangensis Zhang Zhou, Hou, and Gu, 2000 and Boluochia zhengi Zhou, 1995. Zootaxa 4652 (2): 391-392, DOI: https://doi.org/10.11646/zootaxa.4652.2.12
DOI: 10.15468/pkgbx4
title: Revision of the species-group of Mischocyttarus (Omega) filiformis (de Saussure 1854), with description of three new species (Hymenoptera, Vespidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Borges, Rafael Cabral, Silveira, Orlando Tobias (2019): Revision of the species-group of Mischocyttarus (Omega) filiformis (de Saussure 1854), with description of three new species (Hymenoptera, Vespidae). Zootaxa 4657 (3): 545-564, DOI: https://doi.org/10.11646/zootaxa.4657.3.7
DOI: 10.15468/97xcft
title: The correct spelling of the nomen of the lost shark Carcharhinus obsolerus White, Kyne & Harris, 2019 (Chondrichthyes, Carcharhinidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article White, William T., Kyne, Peter M., Harris, Mark (2019): The correct spelling of the nomen of the lost shark Carcharhinus obsolerus White, Kyne & Harris, 2019 (Chondrichthyes, Carcharhinidae). Zootaxa 4657 (3): 599-600, DOI: https://doi.org/10.11646/zootaxa.4657.3.14
DOI: 10.15468/enu57b
title: A new species of the genus Rachicerus Walker (Diptera: Xylophagidae), with notes on Messias Carrera’s 1940 and 1945 types housed in Museu de Zoologia Universidade de São Paulo and in Instituto Oswaldo Cruz, Rio de Janeiro, Brazil

description: This dataset contains the digitized treatments in Plazi based on the original journal article Pujol-Luz, José Roberto (2019): A new species of the genus Rachicerus Walker (Diptera: Xylophagidae), with notes on Messias Carrera’s 1940 and 1945 types housed in Museu de Zoologia Universidade de São Paulo and in Instituto Oswaldo Cruz, Rio de Janeiro, Brazil. Zootaxa 4668 (1): 126-134, DOI: https://doi.org/10.11646/zootaxa.4668.1.8
DOI: 10.15468/yvzxhx
title: Coelogynopora schockaerti n. sp. (Proseriata: Coelogynoporidae), a remnant of a platyhelminth coldwater fauna in the northwestern Mediterranean?

description: This dataset contains the digitized treatments in Plazi based on the original journal article Jouk, Philippe E. H., Revis, Nathalie J. P., Artois, Tom (2019): Coelogynopora schockaerti n. sp. (Proseriata: Coelogynoporidae), a remnant of a platyhelminth coldwater fauna in the northwestern Mediterranean? Zootaxa 4686 (3): 409-418, DOI: https://doi.org/10.11646/zootaxa.4686.3.6
DOI: 10.15468/fje58e
title: Integrative taxonomy reveals first country record of Hyalinobatrachium mondolfii Señaris and Ayarzagüena 2001, and distribution range extensions for Cochranella nola Harvey 1996, and Rulyrana spiculata Duellman 1976 (Anura: Centrolenidae) in Peru

description: This dataset contains the digitized treatments in Plazi based on the original journal article Chávez, Germán, Pradel, Renzo, Catenazzi, Alessandro (2019): Integrative taxonomy reveals first country record of Hyalinobatrachium mondolfii Señaris and Ayarzagüena 2001, and distribution range extensions for Cochranella nola Harvey 1996, and Rulyrana spiculata Duellman 1976 (Anura: Centrolenidae) in Peru. Zootaxa 4691 (5): 541-560, DOI: https://doi.org/10.11646/zootaxa.4691.5.7
DOI: 10.15468/hfv5jq
title: Redescription and lectotype designation of Gynaikothrips microchaetus Ananthakrishnan & Jagadish (Thysanoptera: Phlaeothripidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article SHYAM, M., JOHNSON, TH., RACHANA, R. R., VARATHARAJAN, R., MOUND, L. A. (2019): Redescription and lectotype designation of Gynaikothrips microchaetus Ananthakrishnan & Jagadish (Thysanoptera: Phlaeothripidae). Zootaxa 4701 (6): 588-590, DOI: https://doi.org/10.11646/zootaxa.4701.6.8
DOI: 10.15468/sbsj8r
title: The tadpole of Elachistocleis helianneae Caramaschi, 2010 (Anura: Microhylidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Dias-Souza, Marcos Roberto, Costa-Campos, Carlos Eduardo, Menin, Marcelo (2019): The tadpole of Elachistocleis helianneae Caramaschi, 2010 (Anura: Microhylidae). Zootaxa 4701 (6): 594-600, DOI: https://doi.org/10.11646/zootaxa.4701.6.10
DOI: 10.3886/e113326v1-43662
title: Replication data for: Art as an Investment and Conspicuous Consumption Good

description: This paper provides a simple and empirically plausible model of artworks as investment vehicles. It reconciles the observation that average financial returns for collectibles are low and volatile with the theory of consumption-based asset pricing. Art assets are appealing both for their ability to transfer consumption over time and for their use as signals of wealth, as in the literature on the demand for luxuries. Adding art value to utility, returns also reflect this "conspicuous consumption" dividend; as a result, average financial returns are low. Risk premia for artworks are predicted to be modest or even negative. (JEL G11, Z11)
DOI: 10.6084/m9.figshare.12844520.v1
title: Model interpretation through lower-dimensional posterior summarization

description: Nonparametric regression models have recently surged in their power and popularity, accompanying the trend of increasing dataset size and complexity. While these models have proven their predictive ability in empirical settings, they are often difficult to interpret and do not address the underlying inferential goals of the analyst or decision maker. In this paper, we propose a modular two-stage approach for creating parsimonious, interpretable summaries of complex models which allow freedom in the choice of modeling technique and the inferential target. In the first stage a flexible model is fit which is believed to be as accurate as possible. In the second stage, lower-dimensional summaries are constructed by projecting draws from the distribution onto simpler structures. These summaries naturally come with valid Bayesian uncertainty estimates. Further, since we use the data only once to move from prior to posterior, these uncertainty estimates remain valid across multiple summaries and after iteratively refining a summary. We apply our method and demonstrate its strengths across a range of simulated and real datasets. Code to reproduce the examples shown is avaiable at github.com/spencerwoody/ghost.
DOI: 10.34740/kaggle/dsv/1427190
title: Dataset Search: metadata for datasets
DOI: 10.6084/m9.figshare.12858068.v1
title: R Script

description: R script to run the main and sensitivity analysis of the study
DOI: 10.6084/m9.figshare.12858068
title: R Script

description: R script to run the main and sensitivity analysis of the study
DOI: 10.6084/m9.figshare.12858086
title: Synthetic data sets

description: Synthetic data sets for co-location pattern mining.
DOI: 10.6084/m9.figshare.12858062.v2
title: Population density and basic reproductive number of COVID-19 across United States counties (Data and Script)

description: This repository includes:<br>1. RData file that includes two data sets: (a) Data set with all United State counties (n=3,221) (b) Data set with United State counties with greater than 25 COVID-19 cases at the end of the exponential growth period (n=1,151)2. R script to run the main and sensitivity analysis of the study Work described in: Sy KTL, White LF, Nichols BE. Population density and basic reproductive number of COVID-19 across United States counties. Under Review, 2020. Original Data Sources: New York Times. Coronavirus (Covid-19) Data in the United States - https://github.com/nytimes/covid-19-data/blob/master/us-counties.csv<br>
DOI: 10.6084/m9.figshare.12858086.v1
title: Synthetic data sets

description: Synthetic data sets for co-location pattern mining.
DOI: 10.6084/m9.figshare.12858062.v3
title: Population density and basic reproductive number of COVID-19 across United States counties (Data and Script)

description: This repository includes:<br>1. RData file that includes two data sets: (a) Data set with all United State counties (n=3,221) (b) Data set with United State counties with greater than 25 COVID-19 cases at the end of the exponential growth period (n=1,151)2. R script to run the main and sensitivity analysis of the study<br>Work described in:Sy KTL, White LF, Nichols BE. Population density and basic reproductive number of COVID-19 across United States counties. Under Review, 2020.<br>Original Data Sources:New York Times. Coronavirus (Covid-19) Data in the United States - https://github.com/nytimes/covid-19-data/blob/master/us-counties.csv<br>
DOI: 10.6084/m9.figshare.12858089
title: Participant scores before and after the workshop

description: The dataset shows the scores of students on different aspects of the medical humanities before and after a medical humanities workshop.
DOI: 10.6084/m9.figshare.12858089.v1
title: Participant scores before and after the workshop

description: The dataset shows the scores of students on different aspects of the medical humanities before and after a medical humanities workshop.
DOI: 10.6084/m9.figshare.12858062
title: Population density and basic reproductive number of COVID-19 across United States counties (Data and Code)

description: This repository includes:<br>1. RData file that includes two data sets: (a) Data with all United State counties (n=3,221) (b) Data with United State counties with greater than 25 COVID-19 cases at the end of the exponential growth period (n=1,151)2. R code script to run the main and sensitivity analysis of the study<br>Work described in:Sy KTL, White LF, Nichols BE. Population density and basic reproductive number of COVID-19 across United States counties. Under Review, 2020.<br>Original Data Sources:New York Times. Coronavirus (Covid-19) Data in the United States - https://github.com/nytimes/covid-19-data/blob/master/us-counties.csv<br>
DOI: 10.6084/m9.figshare.12830792
title: Data extracted for "Hidden layers of density dependence in consumer feeding rates."

description: These consumer functional response datasets were extracted from the literature, either from tables or from figures. While some entail "raw" data, most represent means and associated levels of uncertainty (expressed as standard errors). Two types of functional response experiments are represented:1) experiments entailing 1 consumer species and 1 prey/host species in which both prey/host and consumer abundances are varied;2) experiments entailing 1 consumer species and 2 prey/host species in which both prey/host abundances are varied.<br>~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~<br>The structure of the data varies somewhat across datasets, but in general..<br>Preds (or Parasitoids) - number of predator (parasitoid) individuals<br>Prey (or Hosts) - number of prey (host) individualsEaten (or Parasitized) - number of prey (hosts) eaten (parasitized)Time - the time-period of the experiment (not standardized)<br>For datasets represented by summary statistics...<br>Prey.Eaten.Mean - arithmetic mean number of prey eatenPrey.Eaten.SE - standard error of the mean number of prey eatenn - treatment sample size (number of replicates)<br><br>For datasets entailing two prey/host species, the numbers available and eaten are indicated by Prey1 and Prey2.
DOI: 10.6084/m9.figshare.12830792.v1
title: Data extracted for "Hidden layers of density dependence in consumer feeding rates."

description: These consumer functional response datasets were extracted from the literature, either from tables or from figures. While some entail "raw" data, most represent means and associated levels of uncertainty (expressed as standard errors). Two types of functional response experiments are represented:1) experiments entailing 1 consumer species and 1 prey/host species in which both prey/host and consumer abundances are varied;2) experiments entailing 1 consumer species and 2 prey/host species in which both prey/host abundances are varied.<br>~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~<br>The structure of the data varies somewhat across datasets, but in general..<br>Preds (or Parasitoids) - number of predator (parasitoid) individuals<br>Prey (or Hosts) - number of prey (host) individualsEaten (or Parasitized) - number of prey (hosts) eaten (parasitized)Time - the time-period of the experiment (not standardized)<br>For datasets represented by summary statistics...<br>Prey.Eaten.Mean - arithmetic mean number of prey eatenPrey.Eaten.SE - standard error of the mean number of prey eatenn - treatment sample size (number of replicates)<br><br>For datasets entailing two prey/host species, the numbers available and eaten are indicated by Prey1 and Prey2.
DOI: 10.6084/m9.figshare.12858113
title: CPM-MCHM

description: This is the code and data for mining co-location pattern algorithm.
DOI: 10.6084/m9.figshare.12858113.v1
title: CPM-MCHM

description: This is the code and data for mining co-location pattern algorithm.
DOI: 10.6084/m9.figshare.12855536
title: R0186_20170831a_videos

description: Rat 0186, skilled reaching data collected on 8/31/2017 in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12858119
title: CPM-MCHM

description: This is the code and data sets for mining co-location patterns.
DOI: 10.6084/m9.figshare.12858119.v1
title: CPM-MCHM

description: This is the code and data sets for mining co-location patterns.
DOI: 10.25919/5f4459f64a833
title: Parkes observations for project P958 semester 2020APRS_30

description: Fast radio bursts (FRBs) continue to raise more questions than they answer. Until last year, only one burst – the only one known to repeat - had been localized to a bright radio nebula (either a young supernova remnant or pulsar wind nebulae) in a distant dwarf galaxy. Over the last three years searches with the Australian Square Kilometre Array Pathfinder (ASKAP) have detected 35 bursts, eight of which have been localised to host galaxies at redshifts ranging from 0.1 to 0.5. These bursts and their hosts are very unlike the repeater, suggesting there may be a dichotomy in the population. However one of the arcminute-localised ASKAP FRBs has recently been found to repeat. Here we propose to search and study repetitions in this FRB population. Our comprehensive sample and a dense monitoring campaign of well localised bursts, at a fluence limit more than 60 times lower than that of their detections to characterise the fraction of bursts that repeat. For bursts that repeat the unique wide bandwidth observations will be used to test leading models of burst emission.
DOI: 10.6084/m9.figshare.12855536.v1
title: R0186_20170831a_videos

description: Rat 0186, skilled reaching data collected on 8/31/2017 in Leventhal laboratory by Alexandra Bova
DOI: 10.3886/e120754
title: The Evolving Distribution of Giving in the United States

description: Time series measures of giving participation rate (1960-2017) and the within-year concentration of giving (1960-2012).<br>