cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8214168
title: [IO Islamic 1446] ليلى و مجنون

description: <strong>Lailâ-u-Majnûn.</strong> <strong>This manuscript is now IO Islamic 1398 in the India Office collections.</strong> <strong>[metadata:</strong> <strong>Hermann Ethé</strong><strong><em>, </em></strong><strong><em>Catalogue of Persian Manuscripts in the Library of the India Office,</em></strong> <strong>2 vols. (Oxford: India Office, 1903): volume 1,</strong> <strong>number 1446 here with notations and hyperlinks].</strong> Hâtifî (Nos. 1398-1416). 1398 Lailâ u Majnûn (ليلى و مجنون). The loves of Lailâ and Majnûn, an epic poem by Maulânâ ‘Abdallâh Hâtifî of Jâm, Jâmî’s nephew, who died A.H. 927 (A.D. 1521), according to the ta’rîkhs شاعر شهان and شه شاعران, quoted in the Makhzan-algharâ’ib, No. 3036 (col. 393 in the Bodleian Library), which may serve as corrective for the slight error in A. Sprenger, Catal., p. 87, ll. 22 and 23. This mathnawî is the first of his projected Khamsah, of which, however, only four poems are extant, viz. the present one, the تيمور نامه (Nos. 1410-1416 below), the هفت منظر and شيرين و خسرو (or خسرو و شيرين); see Haft Iḳlim, No. 671 (col. 427 in this Cat.); Safînah, No. 45 (col. 213 in the Bodleian Cat.); Âtashkada, No. 158 (ib. col. 267); Khulâṣt-alkalâm, No. 76 (ib. col. 301), etc.; comp. on Hâtifî and his poems, Bodleian Cat., Nos. 996-1016; Rieu ii. p. 652 sq.; W. Pertsch, p. 107, and Berlin Cat., pp. 888-893; A. Sprenger, Catal., p. 421 sq.; Ouseley, Biogr. Notices, p. 143; G. Flügel i. pp. 581 and 582; Cat. Codd. Or. Lugd. Bat. ii. p. 121, etc. This poem was edited by Sir W. Jones, Calcutta, 1788; lithographed, Lucknow, A. H. 1279 (A.D. 1862). Beginning: اين نامه كه خامه كرد بنياد – توقيع قبول روزيش باد Dated the 16th of Rabî’-althânî, A.H. 1078 (A.D. 1667, Oct. 5). No. 1446, ff. 69, 2. Coll., each ll. 15; Nasta’lîḳ; size, 9<sup>1/4</sup> in. by 5<sup>3/8</sup> in.
DOI: 10.6084/m9.figshare.23812830.v48
title: Development of global monthly dataset of CMIP6 climate variables for estimating evapotranspiratio

description: Regridding Global CMIP6 GCMs dataset(0.5 degree)Historical dataset:14 CMIP6 GCMs (1850-2014)Future dataset: 14CMIP6 GCMs and 4 SSP scenarios (2015-2100)Composition of dataset: Average temperature, Maximum temperature, Minimum temperature, Windspeed, Relative humidity, Solar radiationIf you are using our codes and dataset, please use the following references:Song, Y.H., Chung, E.S., Shahid, S., Kim, Y.J., Kim, D.K. 2023. Development of global monthly dataset of CMIP6 climate variables for estimating evapotranspiration. Scientific Data.<br>
DOI: 10.5281/zenodo.8214177
title: [IO Islamic 1465] ليلى و مجنون

description: <strong>Lailâ-u-Majnûn.</strong> <strong>This manuscript is now IO Islamic 1399 in the India Office collections.</strong> <strong>[metadata:</strong> <strong>Hermann Ethé</strong><strong><em>, </em></strong><strong><em>Catalogue of Persian Manuscripts in the Library of the India Office,</em></strong> <strong>2 vols. (Oxford: India Office, 1903): volume 1,</strong> <strong>number 1465 here with notations and hyperlinks].</strong> 1399 Another copy of the same. Beginning as in the preceding copy. Dated by Sayyid Faiḍ-allâh ibn Sayyid ‘Itâb-allâh ibn Sayyid ‘Ażmat-allâh Nahrwânî (نهروانى ) the 13th of Dhû-alḥijjah. A.H. 1108 (A.D. 1697, July 3). This copy belonged formerly to Sir Barry Close. No. 1465, ff. 21<sup>b</sup>-102, coll., each ll. 13; Nasta’lîḳ; size, 6<sup>5/8</sup> in. by 4<sup>1/2 </sup>in.
DOI: 10.5281/zenodo.8214176
title: [IO Islamic 1465] ليلى و مجنون

description: <strong>Lailâ-u-Majnûn.</strong> <strong>This manuscript is now IO Islamic 1399 in the India Office collections.</strong> <strong>[metadata:</strong> <strong>Hermann Ethé</strong><strong><em>, </em></strong><strong><em>Catalogue of Persian Manuscripts in the Library of the India Office,</em></strong> <strong>2 vols. (Oxford: India Office, 1903): volume 1,</strong> <strong>number 1465 here with notations and hyperlinks].</strong> 1399 Another copy of the same. Beginning as in the preceding copy. Dated by Sayyid Faiḍ-allâh ibn Sayyid ‘Itâb-allâh ibn Sayyid ‘Ażmat-allâh Nahrwânî (نهروانى ) the 13th of Dhû-alḥijjah. A.H. 1108 (A.D. 1697, July 3). This copy belonged formerly to Sir Barry Close. No. 1465, ff. 21<sup>b</sup>-102, coll., each ll. 13; Nasta’lîḳ; size, 6<sup>5/8</sup> in. by 4<sup>1/2 </sup>in.
DOI: 10.14272/cxzsdegqlbzwec-uhfffaoysa-n.2
title: 2,3,4,5,8,9,10,11-octazatetracyclo[10.4.0.0^{2,6}.0^{7,11}]hexadeca-1(16),3,5,7,9,12,14-heptaene
title: InChI=1S/C8H4N8/c1-2-4-6-5(3-1)15-7(9-11-13-15)8-10-12-14-16(6)8/h1-4H

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367]. The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]: InChI descriptor[cheminf_000113]: InChI=1S/C8H4N8/c1-2-4-6-5(3-1)15-7(9-11-13-15)8-10-12-14-16(6)8/h1-4H, and canonical SMILES descriptor[cheminf_000007]: c1ccc2c(c1)n1nnnc1c1n2nnn1, and by the IUPAC name[cheminf_000107]: 2,3,4,5,8,9,10,11-octazatetracyclo[10.4.0.02,6.07,11]hexadeca-1(16),3,5,7,9,12,14-heptaene. The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]: The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-33457 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]: Melting point descriptor[CHEMINF_000256]: Boiling point descriptor[CHEMINF_000257]: Refractive index descriptor[CHEMINF_000253]: The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]: CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR) The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: Used ontologies: CHEBI - Chemical Entities of Biological Interest CHEMINF - chemical information ontology (information entities about chemical entities) CHMO - Chemical Methods Ontology OBI - Ontology for Biomedical Investigations
DOI: 10.14272/cxzsdegqlbzwec-uhfffaoysa-n/chmo0000593.1
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (2,3,4,5,8,9,10,11-octazatetracyclo[10.4.0.02,6.07,11]hexadeca-1(16),3,5,7,9,12,14-heptaene)
title: InChI=1S/C8H4N8/c1-2-4-6-5(3-1)15-7(9-11-13-15)8-10-12-14-16(6)8/h1-4H

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, DMSO-d6, ppm) δ = 8.79–8.74 (m, 2H, CHar), 8.09–8.04 (m, 2H, CHar). Further analysis available at https://dx.doi.org/10.14272/reaction/SA-FUHFF-UHFFFADPSC-CXZSDEGQLB-UHFFFADPSC-NUHFF-NUHFF-NUHFF-ZZZ.
DOI: 10.5281/zenodo.8214171
title: WILIAM Data Dictionary and Database of selected simulated scenarios and results

description: The shared database and open database management system developed for the Integrated Assessment Model WILIAM in the LOCOMOTION project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 821105. The shared database and open database management system consists of: The Data Dictionary, which includes information on the Symbols developed within the project (variables, historical data, constants, parameters, scenario parameters, etc.) and used in the WILIAM model, and information related to their metadata, as well as acronyms, semantic rules, etc. A specific protocol has been defined for the Data Dictionary in order to validate modifications based on the authorised roles of users. The purpose of the Data Dictionary is to enhance the transparency of the WILIAM model by disclosing all the Symbols and data sources used. The WILIAM Database of selected simulated scenarios and results, includes information on the narrative description of selected storylines and selected simulated scenarios and the necessary details to access the inputs used for these scenarios, as well as the future projections of the main output variables of the WILIAM model for selected simulated scenarios. The purpose of the WILIAM Database of selected simulated scenarios and results is to be used as an instrument for dissemination of the results of WILIAM.
DOI: 10.5281/zenodo.8214170
title: WILIAM Data Dictionary and Database of selected simulated scenarios and results

description: The shared database and open database management system developed for the Integrated Assessment Model WILIAM in the LOCOMOTION project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 821105. The shared database and open database management system consists of: The Data Dictionary, which includes information on the Symbols developed within the project (variables, historical data, constants, parameters, scenario parameters, etc.) and used in the WILIAM model, and information related to their metadata, as well as acronyms, semantic rules, etc. A specific protocol has been defined for the Data Dictionary in order to validate modifications based on the authorised roles of users. The purpose of the Data Dictionary is to enhance the transparency of the WILIAM model by disclosing all the Symbols and data sources used. The WILIAM Database of selected simulated scenarios and results, includes information on the narrative description of selected storylines and selected simulated scenarios and the necessary details to access the inputs used for these scenarios, as well as the future projections of the main output variables of the WILIAM model for selected simulated scenarios. The purpose of the WILIAM Database of selected simulated scenarios and results is to be used as an instrument for dissemination of the results of WILIAM.
DOI: 10.34740/kaggle/dsv/6246792
title: AutoXGB
DOI: 10.11583/dtu.12513269
title: 6 - Ortho-photo, Digital Terrain Model etc.

description: Orthophotos, digital terrain models etc. provided by SDFE. See more information in the metadata file.<br>This item is a part of the collection "Dataset for Bellinge: An urban drainage case study", https://doi.org/10.11583/DTU.c.5029124 <br><br>Changes in version 2 - 31-08-2021- Updated documentation file- New names to subfolders<br>
DOI: 10.11583/dtu.12513269.v1
title: Ortho-photo, Digital Terrain Model etc.

description: Orthophotos, digital terrain models etc. provided by SDFE. See more information in the metadata file.<br>This item is a part of the collection "Dataset for Bellinge: An urban drainage case study", https://doi.org/10.11583/DTU.c.5029124<br>
DOI: 10.11583/dtu.12513269.v2
title: 6 - Ortho-photo, Digital Terrain Model etc.

description: Orthophotos, digital terrain models etc. provided by SDFE. See more information in the metadata file.<br>This item is a part of the collection "Dataset for Bellinge: An urban drainage case study", https://doi.org/10.11583/DTU.c.5029124 <br><br>Changes in version 2 - 31-08-2021- Updated documentation file- New names to subfolders<br>
DOI: 10.11583/dtu.12513428.v1
title: Models

description: Mike Urban and SWMM models for an urban draiange system. See metadata for more information.<br>This item is a part of the collection "Dataset for Bellinge: An urban drainage case study", https://doi.org/10.11583/DTU.c.5029124<br>
DOI: 10.11583/dtu.12513428.v2
title: 7 - Models

description: Mike Urban and SWMM models for an urban draiange system. See metadata for more information.<br>This item is a part of the collection "Dataset for Bellinge: An urban drainage case study", https://doi.org/10.11583/DTU.c.5029124 <br><br>Changes in version 2 - 31-08-2021- Updated documentation file- New names to subfolders- Minor adjustments to rain data file in SWMM - Updated rain input files to Aug 18th 2021
DOI: 10.11583/dtu.12513428
title: 7 - Models

description: Mike Urban and SWMM models for an urban draiange system. See metadata for more information.<br>This item is a part of the collection "Dataset for Bellinge: An urban drainage case study", https://doi.org/10.11583/DTU.c.5029124 <br><br>Changes in version 2 - 31-08-2021- Updated documentation file- New names to subfolders- Minor adjustments to rain data file in SWMM - Updated rain input files to Aug 18th 2021
DOI: 10.11583/dtu.12509774
title: 3a - Rain gauge data

description: Rainfall data only for non-commercial use, see License file. See meta file for more information.<br>This item is a part of the collection "Dataset for Bellinge: An urban drainage case study", https://doi.org/10.11583/DTU.c.5029124<br> <br>Changes in version 2 - 31-08-2021- Updated documentation file- The period is extended to Aug 18th 2021<br><br>
DOI: 10.11583/dtu.12509774.v1
title: Rain gauge data

description: Rainfall data only for non-commercial use, see License file. See meta file for more information.<br>This item is a part of the collection "Dataset for Bellinge: An urban drainage case study", https://doi.org/10.11583/DTU.c.5029124<br>
DOI: 10.11583/dtu.12509774.v2
title: 3a - Rain gauge data

description: Rainfall data only for non-commercial use, see License file. See meta file for more information.<br>This item is a part of the collection "Dataset for Bellinge: An urban drainage case study", https://doi.org/10.11583/DTU.c.5029124<br> <br>Changes in version 2 - 31-08-2021- Updated documentation file- The period is extended to Aug 18th 2021<br><br>
DOI: 10.11583/dtu.12509249.v1
title: Sensor data - urban drainage system

description: Sensor data from an urban drainage system. See metadata file for more info.<br>This item is a part of the collection "Dataset for Bellinge: An urban drainage case study", https://doi.org/10.11583/DTU.c.5029124<br><br>
DOI: 10.11583/dtu.12509249
title: 2 - Sensor data - urban drainage system

description: Sensor data from an urban drainage system. See metadata file for more info.<br>This item is a part of the collection "Dataset for Bellinge: An urban drainage case study", https://doi.org/10.11583/DTU.c.5029124<br>Changes in version 2 - 31-08-2021- Updated documentation file- New names to subfolders- Coordinates provided for locations- The period is extended to Aug 18th 2021
DOI: 10.11583/dtu.12508517
title: 1 - Asset database - urban drainage system

description: Asset database of an urban drainage system. See metadata file for more info.<br>This item is a part of the collection "Dataset for Bellinge: An urban drainage case study", https://doi.org/10.11583/DTU.c.5029124 <b></b><i></i><sub></sub><sup></sup><br>Changes in version 2 - 31-08-2021- Updated documentation file
DOI: 10.11583/dtu.12508517.v1
title: Asset database - urban drainage system

description: Asset database of an urban drainage system. See metadata file for more info.<br>This item is a part of the collection "Dataset for Bellinge: An urban drainage case study", https://doi.org/10.11583/DTU.c.5029124<br><b></b><i></i><sub></sub><sup></sup><br>
DOI: 10.11583/dtu.12508517.v2
title: 1 - Asset database - urban drainage system

description: Asset database of an urban drainage system. See metadata file for more info.<br>This item is a part of the collection "Dataset for Bellinge: An urban drainage case study", https://doi.org/10.11583/DTU.c.5029124 <b></b><i></i><sub></sub><sup></sup><br>Changes in version 2 - 31-08-2021- Updated documentation file
DOI: 10.11583/dtu.12513236
title: 3b - Radar data etc.

description: Rainfall data. See metadata file for more information.<br>This item is a part of the collection "Dataset for Bellinge: An urban drainage case study", https://doi.org/10.11583/DTU.c.5029124<br><br>Changes in version 2 - 14-04-2021Files from C-band and X-band radars respectively are concatenated in one timeseries per cell with correct headers. <br>Changes in version 3 - 31-08-2021- Updated documentation file- New names to subfolders
DOI: 10.11583/dtu.12513236.v2
title: Radar data etc.

description: Rainfall data. See metadata file for more information.<br>This item is a part of the collection "Dataset for Bellinge: An urban drainage case study", https://doi.org/10.11583/DTU.c.5029124<br><br>Changes in version 2 - 14-04-2021Files from C-band and X-band radars respectively are concatenated in one timeseries per cell with correct headers.
DOI: 10.11583/dtu.12513236.v3
title: 3b - Radar data etc.

description: Rainfall data. See metadata file for more information.<br>This item is a part of the collection "Dataset for Bellinge: An urban drainage case study", https://doi.org/10.11583/DTU.c.5029124<br><br>Changes in version 2 - 14-04-2021Files from C-band and X-band radars respectively are concatenated in one timeseries per cell with correct headers. <br>Changes in version 3 - 31-08-2021- Updated documentation file- New names to subfolders
DOI: 10.5281/zenodo.6143690
title: Differential gene expression data of commercial compounds used to assess the performance of human TeraTox assay

description: The dataset supplements the publication `Optimization of the <em>TeraTox</em> assay for preclinical teratogenicity assessment`. 2022-02-18-TeraTox-commercial-logFC.gct: log2FC matrix of genes by compounds (in concentration ranges) 2022-02-18-TeraTox-commercial-pScore.gct: p-scores (log 10 transformed p-values with the sign of logFC) of genes by compounds 2022-02-18-TeraTox-commercial-featureData.txt: feature annotation in TSV format 2022-02-18-TeraTox-commercial-phenoData.txt: sample annotation in TSV format 2021-06-10-gcGeneFactorAnno-withPositiveCoefs.tsv: gene membership of germ-layer factors, with germ-layer annotation and average expression in copies per million (cpm). Citation: Jaklin, Manuela, Jitao David Zhang, Nicole Schäfer, Nicole Clemann, Paul Barrow, Erich Küng, Lisa Sach-Peltason, Claudia McGinnis, Marcel Leist, and Stefan Kustermann. “Optimization of the TeraTox Assay for Preclinical Teratogenicity Assessment.” <em>Toxicological Sciences</em> 188, no. 1 (July 1, 2022): 17–33. https://doi.org/10.1093/toxsci/kfac046.
DOI: 10.5281/zenodo.6143691
title: Differential gene expression data of commercial compounds used to assess the performance of human TeraTox assay

description: The dataset supplements the publication `Optimization of the <em>TeraTox</em> assay for preclinical teratogenicity assessment`. 2022-02-18-TeraTox-commercial-logFC.gct: log2FC matrix of genes by compounds (in concentration ranges) 2022-02-18-TeraTox-commercial-pScore.gct: p-scores (log 10 transformed p-values with the sign of logFC) of genes by compounds 2022-02-18-TeraTox-commercial-featureData.txt: feature annotation in TSV format 2022-02-18-TeraTox-commercial-phenoData.txt: sample annotation in TSV format 2021-06-10-gcGeneFactorAnno-withPositiveCoefs.tsv: gene membership of germ-layer factors, with germ-layer annotation and average expression in copies per million (cpm). Citation: Jaklin, Manuela, Jitao David Zhang, Nicole Schäfer, Nicole Clemann, Paul Barrow, Erich Küng, Lisa Sach-Peltason, Claudia McGinnis, Marcel Leist, and Stefan Kustermann. “Optimization of the TeraTox Assay for Preclinical Teratogenicity Assessment.” <em>Toxicological Sciences</em> 188, no. 1 (July 1, 2022): 17–33. https://doi.org/10.1093/toxsci/kfac046.
DOI: 10.6084/m9.figshare.23853978
title: Data for the paper: Revisited: The anatomy of value and growth stock returns

description: Data set related to the paper: Revisited-TheAnatomyOfValue-GrowthStockReturns
DOI: 10.6084/m9.figshare.23853978.v1
title: Data for the paper: Revisited: The anatomy of value and growth stock returns

description: Data set related to the paper: Revisited-TheAnatomyOfValue-GrowthStockReturns
DOI: 10.48457/4174a7b5-7e53-4f71-8424-d68aec167dbc
title: ECOTIP Merian Cruise August 2022 - downward flux (sediment traps) of Chl a, POC, PON, protist cells, fecal pellets (overview)

description: During the Merian Cruise in August 2022, short-term sediment traps were deployed at seven stations to determine the vertical flux of Chlorophyll a (Chl a), particulate organic carbon (POC), particulate organic nitrogen (PON), phytoplankton community, and fecal pellets. The flux was determined at standard depth (20, 30, 50, 90, 120, 200, 300, 400 m). At shallower stations, the deepest deployment depths were omitted. Detailed metadata information can be found here: Chl a flux - https://ecotip-geo.iopan.pl/geonetwork/srv/eng/catalog.search#/metadata/e0f04f14-8ed7-4149-a3a2-aed44cceaa02 POC/PON flux - https://ecotip-geo.iopan.pl/geonetwork/srv/eng/catalog.search#/metadata/36e3d6b6-9892-454b-bff3-f61e3ffa1e91 Flux of protist cells - https://ecotip-geo.iopan.pl/geonetwork/srv/eng/catalog.search#/metadata/9db253d5-bc77-4a1f-a64b-2426f3256117 Fecal pellet flux - https://ecotip-geo.iopan.pl/geonetwork/srv/eng/catalog.search#/metadata/82033470-4b59-4711-878c-838dcc32b262
DOI: 10.25625/q25p1z/svmex1
title: SimulationForPowerAnalysis_FSK13.m

description: :unav
DOI: 10.25625/q25p1z/ls7b8p
title: getSmoothedTimecourse.m

description: :unav
DOI: 10.25625/q25p1z/tl5hcl
title: getExperimentData.m

description: :unav
DOI: 10.25625/q25p1z
title: poweranalysis_permutationTest

description: MATLAB files for a power analysis.
DOI: 10.25625/q25p1z/lhmqfn
title: doFFT.m

description: :unav
DOI: 10.25625/ekujry/afziyy
title: simulateAR1processes.m

description: :unav
DOI: 10.25625/ekujry/rvtqns
title: simulateVariances.m

description: :unav
DOI: 10.25625/ekujry/gpovaz
title: sineFit.m

description: :unav
DOI: 10.25625/ekujry/omsr9s
title: simulateNeatOscillation.m

description: :unav
DOI: 10.25625/ekujry
title: poweranalysis_neatOscillationHypothesis

description: MATLAB files for a power analysis.
DOI: 10.18462/iir.tptpr.2021.1966
title: Thermodynamic properties measurement of binary HFC32 + CF3I refrigerant mixtures
DOI: 10.6073/pasta/1da866a2eb79be84195e785a4370010c
title: Macrosystems EDDIE Module 5: Introduction to Ecological Forecasting (Instructor Materials)

description: Ecological forecasting is a tool that can be used for understanding and predicting changes in populations, communities, and ecosystems. Ecological forecasting is an emerging approach which provides an estimate of the future state of an ecological system with uncertainty, allowing society to prepare for changes in important ecosystem services. Ecological forecasters develop and update forecasts using the iterative forecasting cycle, in which they make a hypothesis of how an ecological system works; embed their hypothesis in a model; and use the model to make a forecast of future conditions. When observations become available, they can assess the accuracy of their forecast, which indicates if their hypothesis is supported or needs to be updated before the next forecast is generated. In this Macrosystems EDDIE (Environmental Data-Driven Inquiry & Exploration) module, students will apply the iterative forecasting cycle to develop an ecological forecast for a National Ecological Observation Network (NEON) site. Students will use NEON data to build an ecological model that predicts primary productivity. Using their calibrated model, they will learn about the different components of a forecast with uncertainty and compare productivity forecasts among NEON sites. The overarching goal of this module is for students to learn fundamental concepts about ecological forecasting and build a forecast for a NEON site. Students will work with an R Shiny interface to visualize data, build a model, generate a forecast with uncertainty, and then compare the forecast with observations. The A-B-C structure of this module makes it flexible and adaptable to a range of student levels and course structures. This EDI data package contains instructional materials and the files necessary to teach the module. Readers are referred to the Zenodo data package (Moore et al. 2022; DOI: 10.5281/zenodo.6587161) for the R Shiny application code needed to run the module locally.
DOI: 10.5063/f137775k
title: Germination phenology and seedling competition between two forest herb species of the eastern United States in controlled enironments

description: This dataset includes data from two experiments.