cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14272/dblydxdfrqusrq-qyqcsxrtsa-f.26
title: C51H49Cu8N16O16
title: InChI=1S/2C16H10N6O4.2C6H12N2.4C2H4O2.8Cu/c2*17-21-19-13-7-11(15(23)24)5-3-9(13)1-2-10-4-6-12(16(25)26)8-14(10)20-22-18;2*1-2-8-5-3-7(1)4-6-8;4*1-2(3)4;;;;;;;;/h2*1-8H,(H,23,24)(H,25,26);2*1-6H2;4*1H3,(H,3,4);;;;;;;;/p-8/b2*2-1+;;;;;;;;;;;;;;

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/2C16H10N6O4.2C6H12N2.4C2H4O2.8Cu/c2*17-21-19-13-7-11(15(23)24)5-3-9(13)1-2-10-4-6-12(16(25)26)8-14(10)20-22-18;2*1-2-8-5-3-7(1)4-6-8;4*1-2(3)4;;;;;;;;/h2*1-8H,(H,23,24)(H,25,26);2*1-6H2;4*1H3,(H,3,4);;;;;;;;/p-8/b2*2-1+;;;;;;;;;;;;;;, and canonical SMILES descriptor[cheminf_000007]: C1CN2CCN1CC2.C1CN2CCN1CC2.[O-]C(=O)C.[O-]C(=O)C.[O-]C(=O)C.[O-]C(=O)C.[N-]=[N+]=Nc1cc(ccc1/C=C/c1ccc(cc1N=[N+]=[N-])C(=O)[O-])C(=O)[O-].[N-]=[N+]=Nc1cc(ccc1/C=C/c1ccc(cc1N=[N+]=[N-])C(=O)[O-])C(=O)[O-].[Cu][Cu].[Cu][Cu].[Cu][Cu].[Cu][Cu], and by the IUPAC name[cheminf_000107]: . 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-35856 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:0000156 | X-ray diffraction (XRD) 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/dblydxdfrqusrq-qyqcsxrtsa-f/chmo0000156.27
title: X-ray diffraction (XRD) ()
title: InChI=1S/2C16H10N6O4.2C6H12N2.4C2H4O2.8Cu/c2*17-21-19-13-7-11(15(23)24)5-3-9(13)1-2-10-4-6-12(16(25)26)8-14(10)20-22-18;2*1-2-8-5-3-7(1)4-6-8;4*1-2(3)4;;;;;;;;/h2*1-8H,(H,23,24)(H,25,26);2*1-6H2;4*1H3,(H,3,4);;;;;;;;/p-8/b2*2-1+;;;;;;;;;;;;;;

description: dataset for X-ray diffraction (XRD)
DOI: 10.14272/dblydxdfrqusrq-qyqcsxrtsa-f.27
title: C51H49Cu8N16O16
title: InChI=1S/2C16H10N6O4.2C6H12N2.4C2H4O2.8Cu/c2*17-21-19-13-7-11(15(23)24)5-3-9(13)1-2-10-4-6-12(16(25)26)8-14(10)20-22-18;2*1-2-8-5-3-7(1)4-6-8;4*1-2(3)4;;;;;;;;/h2*1-8H,(H,23,24)(H,25,26);2*1-6H2;4*1H3,(H,3,4);;;;;;;;/p-8/b2*2-1+;;;;;;;;;;;;;;

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/2C16H10N6O4.2C6H12N2.4C2H4O2.8Cu/c2*17-21-19-13-7-11(15(23)24)5-3-9(13)1-2-10-4-6-12(16(25)26)8-14(10)20-22-18;2*1-2-8-5-3-7(1)4-6-8;4*1-2(3)4;;;;;;;;/h2*1-8H,(H,23,24)(H,25,26);2*1-6H2;4*1H3,(H,3,4);;;;;;;;/p-8/b2*2-1+;;;;;;;;;;;;;;, and canonical SMILES descriptor[cheminf_000007]: C1CN2CCN1CC2.C1CN2CCN1CC2.[O-]C(=O)C.[O-]C(=O)C.[O-]C(=O)C.[O-]C(=O)C.[N-]=[N+]=Nc1cc(ccc1/C=C/c1ccc(cc1N=[N+]=[N-])C(=O)[O-])C(=O)[O-].[N-]=[N+]=Nc1cc(ccc1/C=C/c1ccc(cc1N=[N+]=[N-])C(=O)[O-])C(=O)[O-].[Cu][Cu].[Cu][Cu].[Cu][Cu].[Cu][Cu], and by the IUPAC name[cheminf_000107]: . 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-35858 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:0000156 | X-ray diffraction (XRD) 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/dblydxdfrqusrq-qyqcsxrtsa-f.28
title: C51H49Cu8N16O16
title: InChI=1S/2C16H10N6O4.2C6H12N2.4C2H4O2.8Cu/c2*17-21-19-13-7-11(15(23)24)5-3-9(13)1-2-10-4-6-12(16(25)26)8-14(10)20-22-18;2*1-2-8-5-3-7(1)4-6-8;4*1-2(3)4;;;;;;;;/h2*1-8H,(H,23,24)(H,25,26);2*1-6H2;4*1H3,(H,3,4);;;;;;;;/p-8/b2*2-1+;;;;;;;;;;;;;;

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/2C16H10N6O4.2C6H12N2.4C2H4O2.8Cu/c2*17-21-19-13-7-11(15(23)24)5-3-9(13)1-2-10-4-6-12(16(25)26)8-14(10)20-22-18;2*1-2-8-5-3-7(1)4-6-8;4*1-2(3)4;;;;;;;;/h2*1-8H,(H,23,24)(H,25,26);2*1-6H2;4*1H3,(H,3,4);;;;;;;;/p-8/b2*2-1+;;;;;;;;;;;;;;, and canonical SMILES descriptor[cheminf_000007]: C1CN2CCN1CC2.C1CN2CCN1CC2.[O-]C(=O)C.[O-]C(=O)C.[O-]C(=O)C.[O-]C(=O)C.[N-]=[N+]=Nc1cc(ccc1/C=C/c1ccc(cc1N=[N+]=[N-])C(=O)[O-])C(=O)[O-].[N-]=[N+]=Nc1cc(ccc1/C=C/c1ccc(cc1N=[N+]=[N-])C(=O)[O-])C(=O)[O-].[Cu][Cu].[Cu][Cu].[Cu][Cu].[Cu][Cu], and by the IUPAC name[cheminf_000107]: . 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-35860 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:0000156 | X-ray diffraction (XRD) 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/dblydxdfrqusrq-qyqcsxrtsa-f/chmo0000156.28
title: X-ray diffraction (XRD) ()
title: InChI=1S/2C16H10N6O4.2C6H12N2.4C2H4O2.8Cu/c2*17-21-19-13-7-11(15(23)24)5-3-9(13)1-2-10-4-6-12(16(25)26)8-14(10)20-22-18;2*1-2-8-5-3-7(1)4-6-8;4*1-2(3)4;;;;;;;;/h2*1-8H,(H,23,24)(H,25,26);2*1-6H2;4*1H3,(H,3,4);;;;;;;;/p-8/b2*2-1+;;;;;;;;;;;;;;

description: dataset for X-ray diffraction (XRD)
DOI: 10.14272/dblydxdfrqusrq-qyqcsxrtsa-f/chmo0000156.29
title: X-ray diffraction (XRD) ()
title: InChI=1S/2C16H10N6O4.2C6H12N2.4C2H4O2.8Cu/c2*17-21-19-13-7-11(15(23)24)5-3-9(13)1-2-10-4-6-12(16(25)26)8-14(10)20-22-18;2*1-2-8-5-3-7(1)4-6-8;4*1-2(3)4;;;;;;;;/h2*1-8H,(H,23,24)(H,25,26);2*1-6H2;4*1H3,(H,3,4);;;;;;;;/p-8/b2*2-1+;;;;;;;;;;;;;;

description: dataset for X-ray diffraction (XRD)
DOI: 10.14272/dblydxdfrqusrq-qyqcsxrtsa-f.29
title: C51H49Cu8N16O16
title: InChI=1S/2C16H10N6O4.2C6H12N2.4C2H4O2.8Cu/c2*17-21-19-13-7-11(15(23)24)5-3-9(13)1-2-10-4-6-12(16(25)26)8-14(10)20-22-18;2*1-2-8-5-3-7(1)4-6-8;4*1-2(3)4;;;;;;;;/h2*1-8H,(H,23,24)(H,25,26);2*1-6H2;4*1H3,(H,3,4);;;;;;;;/p-8/b2*2-1+;;;;;;;;;;;;;;

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/2C16H10N6O4.2C6H12N2.4C2H4O2.8Cu/c2*17-21-19-13-7-11(15(23)24)5-3-9(13)1-2-10-4-6-12(16(25)26)8-14(10)20-22-18;2*1-2-8-5-3-7(1)4-6-8;4*1-2(3)4;;;;;;;;/h2*1-8H,(H,23,24)(H,25,26);2*1-6H2;4*1H3,(H,3,4);;;;;;;;/p-8/b2*2-1+;;;;;;;;;;;;;;, and canonical SMILES descriptor[cheminf_000007]: C1CN2CCN1CC2.C1CN2CCN1CC2.[O-]C(=O)C.[O-]C(=O)C.[O-]C(=O)C.[O-]C(=O)C.[N-]=[N+]=Nc1cc(ccc1/C=C/c1ccc(cc1N=[N+]=[N-])C(=O)[O-])C(=O)[O-].[N-]=[N+]=Nc1cc(ccc1/C=C/c1ccc(cc1N=[N+]=[N-])C(=O)[O-])C(=O)[O-].[Cu][Cu].[Cu][Cu].[Cu][Cu].[Cu][Cu], and by the IUPAC name[cheminf_000107]: . 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-35862 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:0000156 | X-ray diffraction (XRD) 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: 10.3217/z5zhh-5qh04
title: Symmetric-Reciprocal-Match Calibration: Dataset and Code
DOI: 10.5281/zenodo.8321918
title: Images and 3D digitisations of Branding Heritage #3

description: These files are 3D digitisations and images of Branding Heritage
DOI: 10.5281/zenodo.8321917
title: Images and 3D digitisations of Branding Heritage #3

description: These files are 3D digitisations and images of Branding Heritage
DOI: 10.6084/m9.figshare.24012786
title: 城市水体高光谱图像

description: 用于监测城市地表水质的城市水体高光谱图像。
DOI: 10.25442/hku.24018419.v1
title: Supporting data for ''Monitoring and Elucidating the Regulation of Material Viscoelasticity on Neural Crest Cell Migration''

description: <b>Title:</b><br>Multimodal Dataset for ''Monitoring and Elucidating the Regulation of Material Viscoelasticity on Neural Crest Cell Migration''<b>Introduction:</b><br>This dataset comprises a diverse collection of in vivo and in vitro data related to neural crest cell migration, mechanical testing of embryos and hydrogels, as well as rheometer and flow cytometer measurements. The purpose of this dataset is to facilitate research and analysis in the field of developmental biology, tissue engineering, and biomechanics.<b>Source:</b><br>The data was collected from a combination of laboratory experiments, microscopy imaging, mechanical tests, and specialized instruments. The dataset originates from Yuan Lin's Lab, HKU, where Yuanjun Zhang conducted controlled experiments to investigate various aspects of neural crest cell behavior and material properties.<b>Data Collection:</b><br>In vitro data was acquired through live imaging of developing embryos and involved controlled experimental design. The mechanical testing and rheometer data were obtained by subjecting embryos and hydrogel samples to specific mechanical conditions. Flow cytometer data was collected to analyze cell populations in different experimental conditions.<b>Dataset Composition:</b><br>The dataset is composed of multiple components, including:In vitro videos capturing neural crest cell migration dynamics.In vitro videos depicting neural crest cell behaviour in controlled environments.Mechanical test results from indentation tests on embryos and hydrogel samples.Rheometer measurements of methylcellulose solution properties.Flow cytometer data profiling cell populations.<b>Variables/Features:</b><b>In Vivo and In Vitro Videos:</b>Time framesCellular behaviorMigration patterns<b>Mechanical Test Data:</b>Sample type (embryo/hydrogel)Force appliedDisplacement responseMechanical properties<b>Rheometer Measurements:</b>Material type (hydrogel)Viscoelastic properties<b>Flow Cytometer Data:</b>Cell populationsExperimental conditions
DOI: 10.25442/hku.24018419
title: Supporting data for ''Monitoring and Elucidating the Regulation of Material Viscoelasticity on Neural Crest Cell Migration''

description: <b>Title:</b><br>Multimodal Dataset for ''Monitoring and Elucidating the Regulation of Material Viscoelasticity on Neural Crest Cell Migration''<b>Introduction:</b><br>This dataset comprises a diverse collection of in vivo and in vitro data related to neural crest cell migration, mechanical testing of embryos and hydrogels, as well as rheometer and flow cytometer measurements. The purpose of this dataset is to facilitate research and analysis in the field of developmental biology, tissue engineering, and biomechanics.<b>Source:</b><br>The data was collected from a combination of laboratory experiments, microscopy imaging, mechanical tests, and specialized instruments. The dataset originates from Yuan Lin's Lab, HKU, where Yuanjun Zhang conducted controlled experiments to investigate various aspects of neural crest cell behavior and material properties.<b>Data Collection:</b><br>In vitro data was acquired through live imaging of developing embryos and involved controlled experimental design. The mechanical testing and rheometer data were obtained by subjecting embryos and hydrogel samples to specific mechanical conditions. Flow cytometer data was collected to analyze cell populations in different experimental conditions.<b>Dataset Composition:</b><br>The dataset is composed of multiple components, including:In vitro videos capturing neural crest cell migration dynamics.In vitro videos depicting neural crest cell behaviour in controlled environments.Mechanical test results from indentation tests on embryos and hydrogel samples.Rheometer measurements of methylcellulose solution properties.Flow cytometer data profiling cell populations.<b>Variables/Features:</b><b>In Vivo and In Vitro Videos:</b>Time framesCellular behaviorMigration patterns<b>Mechanical Test Data:</b>Sample type (embryo/hydrogel)Force appliedDisplacement responseMechanical properties<b>Rheometer Measurements:</b>Material type (hydrogel)Viscoelastic properties<b>Flow Cytometer Data:</b>Cell populationsExperimental conditions
DOI: 10.34740/kaggle/dsv/6428870
title: Sunborn - customer churn
DOI: 10.25442/hku.24043533
title: Supporting data for the "Temporal, Spatial, and Logical Modeling in Robotic Motion Planning" Ph.D. thesis

description: This zip file serves as supporting data for the "Temporal, Spatial, and Logical Modeling in Robotic Motion Planning" Ph.D. thesis. The first part is about the humanoid robot locomotion task, which is about Chapter 3 "Perceptive Motion Reference for Environmental Uncertainty". The second part is related to mobile manipulation for a static environment in the world coordinate system (Chapter 2 "Perceptive Motion Reference for Configuration Uncertainty") and movable objects in the tool coordinate system (Chapter 4 "Non-Vector Space State Representation for Task Uncertainty" and Chapter 5 "Optimal Perceptive Motion Planning in Non-Vector Space").The source code and accordingly, experimental data are included. The experimental data is plotted by the rqt_plot tool. The required software to replay the rosbag for rostopic data is ROS in Ubuntu 20.04.
DOI: 10.5519/qd.da2tyjov
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2028 records)
DOI: 10.5281/zenodo.7994202
title: Simulation output for Improving the stability of bivariate correlations using informative Bayesian priors: A Monte Carlo simulation study

description: This repository contains the (compressed) simulation output from <em>Improving the stability of bivariate correlations using informative Bayesian priors: A Monte Carlo simulation study</em>. On a Linux-based system, extract the contents with: <pre><code class="language-bash">tar -xvzf raw_output_compressed.tar.gz </code></pre> Please refer to the published article (https://doi.org/10.3389/fpsyg.2023.1253452) and the associated GitHub (github.com/carldelfin/stability-of-bivariate-correlations) for additional information.
DOI: 10.5281/zenodo.7994203
title: Simulation output for Improving the stability of bivariate correlations using informative Bayesian priors: A Monte Carlo simulation study

description: This repository contains the (compressed) simulation output from <em>Improving the stability of bivariate correlations using informative Bayesian priors: A Monte Carlo simulation study</em>. On a Linux-based system, extract the contents with: <pre><code class="language-bash">tar -xvzf raw_output_compressed.tar.gz </code></pre> Please refer to the published article (https://doi.org/10.3389/fpsyg.2023.1253452) and the associated GitHub (github.com/carldelfin/stability-of-bivariate-correlations) for additional information.
DOI: 10.6084/m9.figshare.24099459.v1
title: Supplementary Table S1 for Genotype-Phenotype Correlations in 30 Japanese Patients with Congenital Hypothyroidism due to <i>TG</i> defect

description: Supplementary Table showing detailed information on the detected <i>TG</i> variants described in the current paper by Tanase-Nakao K.
DOI: 10.5281/zenodo.7694865
title: Impact data on GFRP plate

description: The files contain impact data registered on 0 degree GFRP plate with 4 acoustically coupled bond locations and single FBG. Type of data: matlab files language: english The impact locations and details will be included in an article which will be prepared and updated here The measurements were conducted under the project “Guided waves based reference-free SHM using fiber Bragg grating sensors (REF-FREE)” (2020/39/D/ST8/00188) granted by National Science Center, Poland.
description: The research was supported by the project "Guided waves based reference-free SHM using fiber Bragg grating sensors (REF-FREE)" (2020/39/D/ST8/00188) granted by National Science Center, Poland.
DOI: 10.5281/zenodo.7694866
title: Impact data on GFRP plate

description: The files contain impact data registered on 0 degree GFRP plate with 4 acoustically coupled bond locations and single FBG. Type of data: matlab files language: english The impact locations and details will be included in an article which will be prepared and updated here The measurements were conducted under the project “Guided waves based reference-free SHM using fiber Bragg grating sensors (REF-FREE)” (2020/39/D/ST8/00188) granted by National Science Center, Poland.
description: The research was supported by the project "Guided waves based reference-free SHM using fiber Bragg grating sensors (REF-FREE)" (2020/39/D/ST8/00188) granted by National Science Center, Poland.
DOI: 10.18112/openneuro.ds004744.v1.0.0
title: White matter tract and peaks
DOI: 10.5281/zenodo.8324667
title: Eye movement data

description: Eye movement data during free throws
DOI: 10.5281/zenodo.8324666
title: Eye movement data

description: Eye movement data during free throws
DOI: 10.6084/m9.figshare.24099501.v1
title: Supplementary Table S2 for Genotype-Phenotype Correlations in 30 Japanese Patients with Congenital Hypothyroidism due to <i>TG</i> defect

description: Supplementary Table showing detailed clinical information on each patients with <i>TG</i> variants described in the current paper by Tanase-Nakao K.
DOI: 10.5281/zenodo.8228595
title: Dataset to the article "Omnidirectional endpoint force control through Functional Electrical Stimulation" by Marek Sierotowicz and Claudio Castellini

description: The present .zip files contains the anonimized datasets of a static force output control test facilitated through FES. In addition, the DataExtraction MATLAB code is meant to provide the synchronisation offsets for the logs. The data is sampled from 3 anonymized participants, who all signed informed consent forms. The experiment was carried out in compliance with the standards of the Declaration of Helsinki, and was approved by the ethical committee of the Friedrich-Alexander Universität Erlangen-Nürnberg (approval ID 22-304-S).
DOI: 10.3886/e193586
title: The Spanish- and English-Language Literacy Impacts on Descubriendo La Lectura Across Three Experimental Replications

description: We present findings across three randomized trials of Descubriendo la Lectura (DLL), an intervention designed to improve literacy skills of Spanish-speaking first graders struggling with reading. DLL is a one-to-one Spanish-language literacy program lasting 12-20 weeks offered to schools’ lowest-performing emerging bilingual first-graders. Directly replicating procedures across three cohorts, we examined Spanish and English literacy outcomes for approximately 400 students across 30 schools, 10 districts, and 5 states. Analyses revealed statistically significant effects of student-level assignment to DLL on all 11 Spanish-language outcomes, with an average impact of d = 0.57. Impacts across the 4 English-language outcomes were positive, but not statistically significant. Descriptive results suggest the Spanish-language impacts are reliably replicated, most likely due to the intervention’s strong implementation supports.
DOI: 10.3886/e193586v1
title: The Spanish- and English-Language Literacy Impacts on Descubriendo La Lectura Across Three Experimental Replications

description: We present findings across three randomized trials of Descubriendo la Lectura (DLL), an intervention designed to improve literacy skills of Spanish-speaking first graders struggling with reading. DLL is a one-to-one Spanish-language literacy program lasting 12-20 weeks offered to schools’ lowest-performing emerging bilingual first-graders. Directly replicating procedures across three cohorts, we examined Spanish and English literacy outcomes for approximately 400 students across 30 schools, 10 districts, and 5 states. Analyses revealed statistically significant effects of student-level assignment to DLL on all 11 Spanish-language outcomes, with an average impact of d = 0.57. Impacts across the 4 English-language outcomes were positive, but not statistically significant. Descriptive results suggest the Spanish-language impacts are reliably replicated, most likely due to the intervention’s strong implementation supports.
DOI: 10.3886/e193586v2
title: The Spanish- and English-Language Literacy Impacts on Descubriendo La Lectura Across Three Experimental Replications

description: We present findings across three randomized trials of Descubriendo la Lectura (DLL), an intervention designed to improve literacy skills of Spanish-speaking first graders struggling with reading. DLL is a one-to-one Spanish-language literacy program lasting 12-20 weeks offered to schools’ lowest-performing emerging bilingual first-graders. Directly replicating procedures across three cohorts, we examined Spanish and English literacy outcomes for approximately 400 students across 30 schools, 10 districts, and 5 states. Analyses revealed statistically significant effects of student-level assignment to DLL on all 11 Spanish-language outcomes, with an average impact of d = 0.57. Impacts across the 4 English-language outcomes were positive, but not statistically significant. Descriptive results suggest the Spanish-language impacts are reliably replicated, most likely due to the intervention’s strong implementation supports.
DOI: 10.48370/ofd/uoxgem/xorfo7
title: HMW_Hypochoeris_radicata_L._H_8458.jpg

description: :unav