cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5783436
title: Non-collinear magnetic structures in the Swedenborgite CaBaFe4O7 derived by powder and single-crystal neutron diffraction

description: We have investigated the magnetic structures of the Swedenborgite compound CaBaFe<sub>4</sub>O<sub>7</sub> using magnetic susceptibility and neutron diffraction experiments on powder (FRM-II, Garching) and single-crystal samples (ILL, Grenoble). Below <em>T</em><sub>N1</sub> = 274 K the system orders in a ferrimagnetic structure with spins along the <em>c</em> axis and an additional antiferromagnetic component within the kagome plane which obviously cannot satisfy all exchange interactions. Competing single-ion anisotropy and exchange interactions lead to a transition into a multi-<strong>q</strong> conical structure at <em>T</em><sub>N2</sub> = 202 K.
DOI: 10.5281/zenodo.5783435
title: Non-collinear magnetic structures in the Swedenborgite CaBaFe4O7 derived by powder and single-crystal neutron diffraction

description: We have investigated the magnetic structures of the Swedenborgite compound CaBaFe<sub>4</sub>O<sub>7</sub> using magnetic susceptibility and neutron diffraction experiments on powder (FRM-II, Garching) and single-crystal samples (ILL, Grenoble). Below <em>T</em><sub>N1</sub> = 274 K the system orders in a ferrimagnetic structure with spins along the <em>c</em> axis and an additional antiferromagnetic component within the kagome plane which obviously cannot satisfy all exchange interactions. Competing single-ion anisotropy and exchange interactions lead to a transition into a multi-<strong>q</strong> conical structure at <em>T</em><sub>N2</sub> = 202 K.
DOI: 10.25318/3210015401-fra
title: Certaines cultures, données chronologiques du Recensement de l'agriculture

description: Recensement de l’agriculture, 1921 à 2021. Certaines cultures.
DOI: 10.25318/3210015501-fra
title: Certaines types de bétail et volailles, données chronologiques du Recensement de l'agriculture

description: Recensement de l’agriculture, 1921 à 2021. Certaines types de bétail et volailles.
DOI: 10.25919/bsye-r254
title: Parkes observations for project P1050 semester 2021OCTS_08

description: This is a request for observing time for the timing campaign of new pulsar discoveries from the reprocessing of the low-latitude Galactic plane section of the HTRU survey (P630). We have now completed 90 % of the survey with GPU based coherent acceleration search, template bank and fast folding algorithm pipelines, and now have discovered 92 previously unknown pulsars and 8 "class A" pulsars awaiting confirmation. Interesting science can usually only be derived from a new pulsar after confirmation and a follow-up timing campaign is carried out. One year of initial timing is the minimum timespan required to fully characterise any newly-discovered pulsars, essential for deriving pulsar parameters such as the characteristic age, magnetic field strength, spin-down rate, as well as to detect any unexpected behaviour of the pulsar which might result from emission instabilities. Pulsars on the observing list here have been confirmed in the previous and current 2021APRS semesters, the follow-up timing in OCTS2021 will produce completely new and exciting results. In addition, this timing project will allow us to measure the true Galactic plane pulsar population and the boundaries of pulsar parameter space in the galactic plane.
DOI: 10.25919/wh91-m983
title: Parkes observations for project P1101 semester 2021OCTS_07

description: We propose to carry out fortnightly monitoring of a very active repeater, FRB~190520, with the Parkes UWL system. Our current observations show that FRB~190520 is not only the most active FRB that can be observed with Parkes, but also shows unique behaviour at 2 to 3 GHz frequency. This makes UWL the ideal instrument to carry out in-depth studies of this repeating FRB. With this program, we expect to detect a large sample of bursts from FRB~190520, and in collaboration with the FAST telescope we will study emission properties, fluence distributions and polarisation properties over an extremely wide bandwidth with high sensitivity.
DOI: 10.5517/ccdc.csd.cc26nx3x
title: CCDC 2045879: Experimental Crystal Structure Determination

description: Related Article: Linnea Lindh, Olga Gordivska, Samuel Persson, Hannes Michaels, Hao Fan, Pavel Chábera, Nils W. Rosemann, Arvind Kumar Gupta, Iacopo Benesperi, Jens Uhlig, Om Prakash, Esmaeil Sheibani, Kasper S. Kjaer, Gerrit Boschloo, Arkady Yartsev, Marina Freitag, Reiner Lomoth, Petter Persson, Kenneth Wärnmark|2021|Chemical Science|12|16035|doi:10.1039/D1SC02963K
DOI: 10.5517/ccdc.csd.cc26rj7r
title: CCDC 2048394: Experimental Crystal Structure Determination

description: Related Article: Itai Schlesinger, Xingang Zhao, Natalia E. Powers-Riggs, Michael R. Wasielewski|2021|J.Phys.Chem.C|125|13946|doi:10.1021/acs.jpcc.1c02999
DOI: 10.5517/ccdc.csd.cc26th3n
title: CCDC 2050281: Experimental Crystal Structure Determination

description: Related Article: Linnea Lindh, Olga Gordivska, Samuel Persson, Hannes Michaels, Hao Fan, Pavel Chábera, Nils W. Rosemann, Arvind Kumar Gupta, Iacopo Benesperi, Jens Uhlig, Om Prakash, Esmaeil Sheibani, Kasper S. Kjaer, Gerrit Boschloo, Arkady Yartsev, Marina Freitag, Reiner Lomoth, Petter Persson, Kenneth Wärnmark|2021|Chemical Science|12|16035|doi:10.1039/D1SC02963K
DOI: 10.5517/ccdc.csd.cc26chhl
title: CCDC 2036839: Experimental Crystal Structure Determination

description: Related Article: Atash Gurbanov, Dmitriy Mertsalov, Fedor Zubkov, Maryana Nadirova, Eugeniya Nikitina, Hieu Truong, Mikhail Grigoriev, Vladimir Zaytsev, Kamran Mahmudov, Armando Pombeiro|2021|Crystals|11|112|doi:10.3390/cryst11020112
DOI: 10.5517/ccdc.csd.cc26cj7c
title: CCDC 2036862: Experimental Crystal Structure Determination

description: Related Article: Atash Gurbanov, Dmitriy Mertsalov, Fedor Zubkov, Maryana Nadirova, Eugeniya Nikitina, Hieu Truong, Mikhail Grigoriev, Vladimir Zaytsev, Kamran Mahmudov, Armando Pombeiro|2021|Crystals|11|112|doi:10.3390/cryst11020112
DOI: 10.5517/ccdc.csd.cc27j14z
title: CCDC 2070990: Experimental Crystal Structure Determination

description: Related Article: Linnea Lindh, Olga Gordivska, Samuel Persson, Hannes Michaels, Hao Fan, Pavel Chábera, Nils W. Rosemann, Arvind Kumar Gupta, Iacopo Benesperi, Jens Uhlig, Om Prakash, Esmaeil Sheibani, Kasper S. Kjaer, Gerrit Boschloo, Arkady Yartsev, Marina Freitag, Reiner Lomoth, Petter Persson, Kenneth Wärnmark|2021|Chemical Science|12|16035|doi:10.1039/D1SC02963K
DOI: 10.5517/ccdc.csd.cc281vmt
title: CCDC 2087156: Experimental Crystal Structure Determination

description: Related Article: Li Zhang, Guilan Zhang, Hang Qu, Yogesh Todarwal, Yun Wang, Patrick Norman, Mathieu Linares, Mathieu Surin, Hui‐Jun Zhang, Jianbin Lin, Yun‐Bao Jiang|2021|Angew.Chem.,Int.Ed.|60|24543|doi:10.1002/anie.202107893
DOI: 10.5517/ccdc.csd.cc28270m
title: CCDC 2087509: Experimental Crystal Structure Determination

description: Related Article: Li Zhang, Guilan Zhang, Hang Qu, Yogesh Todarwal, Yun Wang, Patrick Norman, Mathieu Linares, Mathieu Surin, Hui‐Jun Zhang, Jianbin Lin, Yun‐Bao Jiang|2021|Angew.Chem.,Int.Ed.|60|24543|doi:10.1002/anie.202107893
DOI: 10.5517/ccdc.csd.cc281vkr
title: CCDC 2087154: Experimental Crystal Structure Determination

description: Related Article: Li Zhang, Guilan Zhang, Hang Qu, Yogesh Todarwal, Yun Wang, Patrick Norman, Mathieu Linares, Mathieu Surin, Hui‐Jun Zhang, Jianbin Lin, Yun‐Bao Jiang|2021|Angew.Chem.,Int.Ed.|60|24543|doi:10.1002/anie.202107893
DOI: 10.5517/ccdc.csd.cc285gmk
title: CCDC 2090628: Experimental Crystal Structure Determination

description: Related Article: Xiujie Jiang, Wei Tao, Cheng Chen, Guoyong Xu, Haoke Zhang, Peifa Wei|2021|Chemical Science|12|15928|doi:10.1039/D1SC05426K
DOI: 10.5517/ccdc.csd.cc285gnl
title: CCDC 2090629: Experimental Crystal Structure Determination

description: Related Article: Xiujie Jiang, Wei Tao, Cheng Chen, Guoyong Xu, Haoke Zhang, Peifa Wei|2021|Chemical Science|12|15928|doi:10.1039/D1SC05426K
DOI: 10.5517/ccdc.csd.cc27b9kg
title: CCDC 2065485: Experimental Crystal Structure Determination

description: Related Article: Zi-Jian Li, Min Lei, Hongliang Bao, Yu Ju, Huangjie Lu, Yongxin Li, Zhi-Hui Zhang, Xiaofeng Guo, Yuan Qian, Ming-Yang He, Jian-Qiang Wang, Wei Liu, Jian Lin|2021|Chemical Science|12|15833|doi:10.1039/D1SC03709A
DOI: 10.5517/ccdc.csd.cc27b9lh
title: CCDC 2065486: Experimental Crystal Structure Determination

description: Related Article: Zi-Jian Li, Min Lei, Hongliang Bao, Yu Ju, Huangjie Lu, Yongxin Li, Zhi-Hui Zhang, Xiaofeng Guo, Yuan Qian, Ming-Yang He, Jian-Qiang Wang, Wei Liu, Jian Lin|2021|Chemical Science|12|15833|doi:10.1039/D1SC03709A
DOI: 10.5517/ccdc.csd.cc27b9nk
title: CCDC 2065488: Experimental Crystal Structure Determination

description: Related Article: Zi-Jian Li, Min Lei, Hongliang Bao, Yu Ju, Huangjie Lu, Yongxin Li, Zhi-Hui Zhang, Xiaofeng Guo, Yuan Qian, Ming-Yang He, Jian-Qiang Wang, Wei Liu, Jian Lin|2021|Chemical Science|12|15833|doi:10.1039/D1SC03709A
DOI: 10.5517/ccdc.csd.cc28ck6f
title: CCDC 2096474: Experimental Crystal Structure Determination

description: Related Article: Chong Shen, Xiang Cheng, Liang Wei, Ruo-Qing Wang, Chun-Jiang Wang|2021|Chemical Science|12|15882|doi:10.1039/D1SC06115A
DOI: 10.5517/ccdc.csd.cc28ck7g
title: CCDC 2096475: Experimental Crystal Structure Determination

description: Related Article: Chong Shen, Xiang Cheng, Liang Wei, Ruo-Qing Wang, Chun-Jiang Wang|2021|Chemical Science|12|15882|doi:10.1039/D1SC06115A
DOI: 10.5517/ccdc.csd.cc28ck8h
title: CCDC 2096476: Experimental Crystal Structure Determination

description: Related Article: Chong Shen, Xiang Cheng, Liang Wei, Ruo-Qing Wang, Chun-Jiang Wang|2021|Chemical Science|12|15882|doi:10.1039/D1SC06115A
DOI: 10.5517/ccdc.csd.cc28ckbk
title: CCDC 2096478: Experimental Crystal Structure Determination

description: Related Article: Chong Shen, Xiang Cheng, Liang Wei, Ruo-Qing Wang, Chun-Jiang Wang|2021|Chemical Science|12|15882|doi:10.1039/D1SC06115A
DOI: 10.5517/ccdc.csd.cc28f4wr
title: CCDC 2098014: Experimental Crystal Structure Determination

description: Related Article: Li Zhang, Guilan Zhang, Hang Qu, Yogesh Todarwal, Yun Wang, Patrick Norman, Mathieu Linares, Mathieu Surin, Hui‐Jun Zhang, Jianbin Lin, Yun‐Bao Jiang|2021|Angew.Chem.,Int.Ed.|60|24543|doi:10.1002/anie.202107893
DOI: 10.5517/ccdc.csd.cc27b9mj
title: CCDC 2065487: Experimental Crystal Structure Determination

description: Related Article: Zi-Jian Li, Min Lei, Hongliang Bao, Yu Ju, Huangjie Lu, Yongxin Li, Zhi-Hui Zhang, Xiaofeng Guo, Yuan Qian, Ming-Yang He, Jian-Qiang Wang, Wei Liu, Jian Lin|2021|Chemical Science|12|15833|doi:10.1039/D1SC03709A
DOI: 10.5517/ccdc.csd.cc28lylf
title: CCDC 2103585: Experimental Crystal Structure Determination

description: Related Article: Benjoe Rey B. Visayas, Shyam K. Pahari, Tugba Ceren Gokoglan, James A. Golen, Ertan Agar, Patrick J. Cappillino, Maricris L. Mayes|2021|Chemical Science|12|15892|doi:10.1039/D1SC04990A
DOI: 10.5517/ccdc.csd.cc28lymg
title: CCDC 2103586: Experimental Crystal Structure Determination

description: Related Article: Benjoe Rey B. Visayas, Shyam K. Pahari, Tugba Ceren Gokoglan, James A. Golen, Ertan Agar, Patrick J. Cappillino, Maricris L. Mayes|2021|Chemical Science|12|15892|doi:10.1039/D1SC04990A
DOI: 10.5517/ccdc.csd.cc28lynh
title: CCDC 2103587: Experimental Crystal Structure Determination

description: Related Article: Benjoe Rey B. Visayas, Shyam K. Pahari, Tugba Ceren Gokoglan, James A. Golen, Ertan Agar, Patrick J. Cappillino, Maricris L. Mayes|2021|Chemical Science|12|15892|doi:10.1039/D1SC04990A
DOI: 10.5517/ccdc.csd.cc28jf3c
title: CCDC 2101152: Experimental Crystal Structure Determination

description: Related Article: Mariusz Tasior, Paweł Kowalczyk, Marta Przybył, Małgorzata Czichy, Patryk Janasik, Manon H. E. Bousquet, Mieczysław Łapkowski, Matt Rammo, Aleksander Rebane, Denis Jacquemin, Daniel T. Gryko|2021|Chemical Science|12|15935|doi:10.1039/D1SC05007A
DOI: 10.5517/ccdc.csd.cc28xx26
title: CCDC 2113148: Experimental Crystal Structure Determination

description: Related Article: Xinzhe Shi, Sihan Li, Melanie Reiß, Anke Spannenberg, Thorsten Holtrichter-Rößmann, Fabian Reiß, Torsten Beweries|2021|Chemical Science|12|16074|doi:10.1039/D1SC06052J
DOI: 10.5517/ccdc.csd.cc28xx37
title: CCDC 2113149: Experimental Crystal Structure Determination

description: Related Article: Xinzhe Shi, Sihan Li, Melanie Reiß, Anke Spannenberg, Thorsten Holtrichter-Rößmann, Fabian Reiß, Torsten Beweries|2021|Chemical Science|12|16074|doi:10.1039/D1SC06052J
DOI: 10.5517/ccdc.csd.cc28xx48
title: CCDC 2113150: Experimental Crystal Structure Determination

description: Related Article: Xinzhe Shi, Sihan Li, Melanie Reiß, Anke Spannenberg, Thorsten Holtrichter-Rößmann, Fabian Reiß, Torsten Beweries|2021|Chemical Science|12|16074|doi:10.1039/D1SC06052J
DOI: 10.5517/ccdc.csd.cc28xx59
title: CCDC 2113151: Experimental Crystal Structure Determination

description: Related Article: Xinzhe Shi, Sihan Li, Melanie Reiß, Anke Spannenberg, Thorsten Holtrichter-Rößmann, Fabian Reiß, Torsten Beweries|2021|Chemical Science|12|16074|doi:10.1039/D1SC06052J
DOI: 10.5281/zenodo.5784500
title: Data and code for bovine lung ultrasound studies

description: Data and code repository for a study published in a traditional journal
DOI: 10.5281/zenodo.5784499
title: Data and code for bovine lung ultrasound studies

description: Data and code repository for a study published in a traditional journal
DOI: 10.25318/3210015601-eng
title: Farms classified by total farm area, Census of Agriculture historical data

description: Census of Agriculture, 1976 to 2021. Farms classified by total farm area.
DOI: 10.5281/zenodo.5784236
title: Cyanopsitta spixii zanfona pass 2

description: .
DOI: 10.5281/zenodo.5784235
title: Cyanopsitta spixii zanfona pass 2

description: .
DOI: 10.25318/3210015601-fra
title: Exploitations agricoles classées selon la superficie agricole totale, données chronologiques du Recensement de l'agriculture

description: Recensement de l’agriculture, 1976 à 2021. Exploitations agricoles classées selon la superficie agricole totale.
DOI: 10.23641/asha.17155934
title: Who is Right? test (Evans & Rosen, 2021)

description: <b>Purpose: </b>Many children have difficulties understanding speech. At present, there are few assessments that test for subtle impairments in speech perception with normative data from U.K. children. We present a new test that evaluates children’s ability to identify target words in background noise by choosing between minimal pair alternatives that differ by a single articulatory phonetic feature. This task (a) is tailored to testing young children, but also readily applicable to adults; (b) has minimal memory demands; (c) adapts to the child’s ability; and (d) does not require reading or verbal output.<b>Method: </b>We tested 155 children and young adults aged from 5 to 25 years on this new test of single word perception.<b>Results: </b>Speech-in-noise abilities in this particular task develop rapidly through childhood until they reach maturity at around 9 years of age.<b>Conclusions:</b> We make this test freely available and provide associated normative data. We hope that it will be useful to researchers and clinicians in the assessment of speech perception abilities in children who are hard of hearing or have developmental language disorder, dyslexia, or auditory processing disorder.<br><b>Supplemental Material S1.</b> Full list of targets and foils for the familiarization and testing phase.<b><br></b><b>Supplemental Material S2. </b>Participants’ characteristics and testing environments.<br>Evans, S., & Rosen, S. (2021). Who is right? A word-identification-in-noise test for young children using minimal pair distracters. <i>Journal of Speech, Language, and Hearing Research</i>. Advance online publication. https://doi.org/10.1044/2021_JSLHR-20-00658
DOI: 10.25318/3210015801-fra
title: Exploitations agricoles classées selon la forme juridique, données chronologiques du Recensement de l'agriculture

description: Recensement de l’agriculture, 1976 à 2021. Exploitations agricoles classées selon la forme juridique.
DOI: 10.5281/zenodo.5783044
title: Multicrystal Diffraction Patterns in Cryocrystallography

description: Multicrystal Diffraction Patterns in Cryocrystallography Data collection: Pohang Light Source II Sample: Lysozyme
DOI: 10.5281/zenodo.5783043
title: Multicrystal Diffraction Patterns in Cryocrystallography

description: Multicrystal Diffraction Patterns in Cryocrystallography Data collection: Pohang Light Source II Sample: Lysozyme
DOI: 10.6084/m9.figshare.17209175
title: armadillo data.csv

description: These data are used in the article "Automatic selection of the number of clusters using Bayesian clustering and sparsity-inducing priors", published in Ecological Applications.<br>These data contain the following columns:id: this corresponds to the identification code of each animalregion: this corresponds to the study region (N=north, S=south)date: this variable contains the date and time of the GPS fixSL1: contains the discretized speeds TA1: contains the discretized turning anglesSex: contains the sex of the animal (F=female, M=Male)<br>The discretized speeds are:1=0.0 to 0.1 m/s2=0.1 to 0.2 m/s3=0.2 to 0.3 m/s4=0.3 to 0.4 m/s5=0.4 to 0.5 m/s6=0.5 to 0.6 m/s7= &gt;0.6 m/s<br><br>The discretized turning angles are:1=-(10/10)pi to -(8/10)*pi2= -(8/10)*pi to -(6/10)*pi<br>3= -(6/10)*pi to -(4/10)*pi<br>4= -(4/10)*pi to -(2/10)*pi<br>5= -(2/10)*pi to (0/10)*pi<br>6= (0/10)*pi to (2/10)*pi<br>7= (2/10)*pi to (4/10)*pi<br>8= (4/10)*pi to (6/10)*pi<br>9= (6/10)*pi to (8/10)*pi<br>10=(8/10)*pi to (10/10)*pi
DOI: 10.6084/m9.figshare.17209175.v1
title: armadillo data.csv

description: These data are used in the article "Automatic selection of the number of clusters using Bayesian clustering and sparsity-inducing priors", published in Ecological Applications.<br>These data contain the following columns:id: this corresponds to the identification code of each animalregion: this corresponds to the study region (N=north, S=south)date: this variable contains the date and time of the GPS fixSL1: contains the discretized speeds TA1: contains the discretized turning anglesSex: contains the sex of the animal (F=female, M=Male)<br>The discretized speeds are:1=0.0 to 0.1 m/s2=0.1 to 0.2 m/s3=0.2 to 0.3 m/s4=0.3 to 0.4 m/s5=0.4 to 0.5 m/s6=0.5 to 0.6 m/s7= &gt;0.6 m/s<br><br>The discretized turning angles are:1=-(10/10)pi to -(8/10)*pi2= -(8/10)*pi to -(6/10)*pi<br>3= -(6/10)*pi to -(4/10)*pi<br>4= -(4/10)*pi to -(2/10)*pi<br>5= -(2/10)*pi to (0/10)*pi<br>6= (0/10)*pi to (2/10)*pi<br>7= (2/10)*pi to (4/10)*pi<br>8= (4/10)*pi to (6/10)*pi<br>9= (6/10)*pi to (8/10)*pi<br>10=(8/10)*pi to (10/10)*pi
DOI: 10.23641/asha.17155961
title: Considerations for analyzing EMA data (Oleson et al., 2021)

description: <b>Purpose: </b>The analysis of Ecological Momentary Assessment (EMA) data can be difficult to conceptualize due to the complexity of how the data are collected. The goal of this tutorial is to provide an overview of statistical considerations for analyzing observational data arising from EMA studies.<b>Method: </b>EMA data are collected in a variety of ways, complicating the statistical analysis. We focus on fundamental statistical characteristics of the data and general purpose statistical approaches to analyzing EMA data. We implement those statistical approaches using a recent study involving EMA.<b>Results: </b>The linear or generalized linear mixed-model statistical approach can adequately capture the challenges resulting from EMA collected data if properly set up. Additionally, while sample size depends on both the number of participants and the number of survey responses per participant, having more participants is more important than the number of responses per participant.<b>Conclusion:</b> Using modern statistical methods when analyzing EMA data and adequately considering all of the statistical assumptions being used can lead to interesting and important findings when using EMA.<br><b>Supplemental Material S1. </b>Power for given effect sizes, number of participants, and number of surveys per individual for a two independent groups comparison.<br><b>Supplemental Material S2.</b> Power for given effect sizes, number of participants, and number of surveys per individual for a paired groups comparison.<br>Oleson, J. J., Jones, M. A., Jorgensen, E. J., & Wu, Y.-H. (2021). Statistical considerations for analyzing Ecological Momentary Assessment data. <i>Journal of Speech, Language, and Hearing Research</i>. Advance online publication. https://doi.org/10.1044/2021_JSLHR-21-00081
DOI: 10.23641/asha.17155961.v1
title: Considerations for analyzing EMA data (Oleson et al., 2021)

description: <b>Purpose: </b>The analysis of Ecological Momentary Assessment (EMA) data can be difficult to conceptualize due to the complexity of how the data are collected. The goal of this tutorial is to provide an overview of statistical considerations for analyzing observational data arising from EMA studies.<b>Method: </b>EMA data are collected in a variety of ways, complicating the statistical analysis. We focus on fundamental statistical characteristics of the data and general purpose statistical approaches to analyzing EMA data. We implement those statistical approaches using a recent study involving EMA.<b>Results: </b>The linear or generalized linear mixed-model statistical approach can adequately capture the challenges resulting from EMA collected data if properly set up. Additionally, while sample size depends on both the number of participants and the number of survey responses per participant, having more participants is more important than the number of responses per participant.<b>Conclusion:</b> Using modern statistical methods when analyzing EMA data and adequately considering all of the statistical assumptions being used can lead to interesting and important findings when using EMA.<br><b>Supplemental Material S1. </b>Power for given effect sizes, number of participants, and number of surveys per individual for a two independent groups comparison.<br><b>Supplemental Material S2.</b> Power for given effect sizes, number of participants, and number of surveys per individual for a paired groups comparison.<br>Oleson, J. J., Jones, M. A., Jorgensen, E. J., & Wu, Y.-H. (2021). Statistical considerations for analyzing Ecological Momentary Assessment data. <i>Journal of Speech, Language, and Hearing Research</i>. Advance online publication. https://doi.org/10.1044/2021_JSLHR-21-00081
DOI: 10.5281/zenodo.5784498
title: Source data for gamete binning for an autotetraploid potato cultivar Otava

description: Here we provide the source data for analyzing a highly heterozygous autotetraploid potato cultivar 'Otava'.
DOI: 10.5281/zenodo.5784497
title: Source data for gamete binning for an autotetraploid potato cultivar Otava

description: Here we provide the source data for analyzing a highly heterozygous autotetraploid potato cultivar 'Otava'.
DOI: 10.6073/pasta/76bc9cc41e2f71a8a285947136bd5318
title: Grasshopper survey and substrate utilization data at the Jornada Basin LTER site, 1983 to 1985

description: This dataset contains grasshopper occurrence observations sampled from 9 plots on the east bajada of the Dona Ana Mountains at the Jornada Basin LTER site from 1983 to 1985. Three plots were situated on the bajada parallel to and 200 m south of the LTER-I transect. Two additional sets of three plots were located 5 km and 10 km south of the LTER transect. Each plot is composed of two 50 meter belt transects, each divided into ten 5-square-meter quadrats. Grasshoppers were visually sampled in each quadrat/plot, once in May, July and September, in 1983, 1984 and 1985. Each individual grasshopper, its age, sex and the substrate it was observed on, are recorded as observations in the dataset. This study is complete.