cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25446/oxford.22240429
title: COVID19 Pandemic and Learning Loss

description: <strong>Background:</strong><br> The pandemic has disrupted schooling across the world, with potentially devastating long-term consequences for children’s learning and life outcomes. School close ures have restricted learning activities to each individual homes, and limited digital infrastructure and parent’s inexperience in supporting children’s learning is almost certain to result in learning loss. However, the effect is unlikely to have affected everyone equally. Children from disadvantaged background are likely to have suffered more from the closures. Given the financial strain that COVID19 has afflicted to the government and the public, it is important to identify policies that could effectively mitigate the long-term consequences of the impact, particularly for those who are most affected, who are also most likely to not receive sufficient support after school have reopened. To achieve this, we need to further our understanding beyond the scale of the impact of COVID19 on learning. Identifying the factors that have influenced differences in learning outcomes during the pandemic will strengthen policymaking using research-based evidence. <br> <strong>Objective:</strong> This research has a twofold aim. The first is to measure the scale of learning loss that is caused by the disruption during the COVID19 Pandemic. Second is to identify the factors that have influenced the difference in the scale of learning loss between different groups, including ones who were exposed to different policies. <br> <strong>Methodology:</strong> This research is conducted using primary data, both that have been collected before this research began from past RISE studies, and one that is collected during. There are two main information types that is going to be collected during the study: 1. Student learning assessment results to measure learning outcomes between students, collected periodically and 2. Principal and parent’s survey to obtain information on the different behaviours and policies each child is exposed to, collected once during school closures, and once after school have reopened. The two data will be analysed together to potentially identify the effect of each factors and policies on learning outcomes during the pandemic.
DOI: 10.25446/oxford.22240429.v1
title: COVID19 Pandemic and Learning Loss

description: <strong>Background:</strong><br> The pandemic has disrupted schooling across the world, with potentially devastating long-term consequences for children’s learning and life outcomes. School close ures have restricted learning activities to each individual homes, and limited digital infrastructure and parent’s inexperience in supporting children’s learning is almost certain to result in learning loss. However, the effect is unlikely to have affected everyone equally. Children from disadvantaged background are likely to have suffered more from the closures. Given the financial strain that COVID19 has afflicted to the government and the public, it is important to identify policies that could effectively mitigate the long-term consequences of the impact, particularly for those who are most affected, who are also most likely to not receive sufficient support after school have reopened. To achieve this, we need to further our understanding beyond the scale of the impact of COVID19 on learning. Identifying the factors that have influenced differences in learning outcomes during the pandemic will strengthen policymaking using research-based evidence. <br> <strong>Objective:</strong> This research has a twofold aim. The first is to measure the scale of learning loss that is caused by the disruption during the COVID19 Pandemic. Second is to identify the factors that have influenced the difference in the scale of learning loss between different groups, including ones who were exposed to different policies. <br> <strong>Methodology:</strong> This research is conducted using primary data, both that have been collected before this research began from past RISE studies, and one that is collected during. There are two main information types that is going to be collected during the study: 1. Student learning assessment results to measure learning outcomes between students, collected periodically and 2. Principal and parent’s survey to obtain information on the different behaviours and policies each child is exposed to, collected once during school closures, and once after school have reopened. The two data will be analysed together to potentially identify the effect of each factors and policies on learning outcomes during the pandemic.
DOI: 10.25446/oxford.22240276
title: Learning whether and how policy innovations spread

description: Objectives: To understand the innovation of education policies in specified districts; To examine the spread of district education policy innovations. Unit analysis: district level
DOI: 10.25446/oxford.22240276.v1
title: Learning whether and how policy innovations spread

description: Objectives: To understand the innovation of education policies in specified districts; To examine the spread of district education policy innovations. Unit analysis: district level
DOI: 10.14272/zetlvsoyhdfnpz-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (2-(4-methoxyphenyl)isoindole-1,3-dione)
title: InChI=1S/C15H11NO3/c1-19-11-8-6-10(7-9-11)16-14(17)12-4-2-3-5-13(12)15(16)18/h2-9H,1H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (101 MHz, CDCl3 [77.16 ppm], ppm) δ = 167.7 (2C), 159.4, 134.4 (2C), 132.0 (2C), 128.1 (2C), 124.4, 123.8 (2C), 114.6 (2C), 55.7.
DOI: 10.14272/zetlvsoyhdfnpz-uhfffaoysa-n.1
title: 2-(4-methoxyphenyl)isoindoline-1,3-dione
title: InChI=1S/C15H11NO3/c1-19-11-8-6-10(7-9-11)16-14(17)12-4-2-3-5-13(12)15(16)18/h2-9H,1H3

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/C15H11NO3/c1-19-11-8-6-10(7-9-11)16-14(17)12-4-2-3-5-13(12)15(16)18/h2-9H,1H3, and canonical SMILES descriptor[cheminf_000007]: COc1ccc(cc1)N1C(=O)c2c(C1=O)cccc2, and by the IUPAC name[cheminf_000107]: 2-(4-methoxyphenyl)isoindole-1,3-dione. The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]: COc1ccc(cc1)N1C(=O)c2c(C1=O)cccc2 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-33454 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]: Melting point descriptor[CHEMINF_000256]: 158.0 (°C) 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) CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR) CHMO:0000473 | atmospheric pressure chemical ionisation mass spectrometry (APCI MS) 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/zetlvsoyhdfnpz-uhfffaoysa-n/chmo0000473
title: atmospheric pressure chemical ionisation mass spectrometry (APCI MS) (2-(4-methoxyphenyl)isoindole-1,3-dione)
title: InChI=1S/C15H11NO3/c1-19-11-8-6-10(7-9-11)16-14(17)12-4-2-3-5-13(12)15(16)18/h2-9H,1H3

description: dataset for atmospheric pressure chemical ionisation mass spectrometry (APCI MS) APCI (m/z): 255 (81), 254 (100) [M+H]+, 118 (18), 117 (25)
DOI: 10.14272/gjyiwqybismeii-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (3-hydroxy-2-(4-methoxyphenyl)-3H-isoindol-1-one)
title: InChI=1S/C15H13NO3/c1-19-11-8-6-10(7-9-11)16-14(17)12-4-2-3-5-13(12)15(16)18/h2-9,14,17H,1H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, CDCl3 [7.26 ppm], ppm): δ = 7.68–7.57 (m, 3H), 7.54–7.49 (m, 2H), 7.44 (tt, J = 7.2, 1.3 Hz, 1H), 6.94–6.81 (m, 2H), 6.23 (d, J = 10.4 Hz, 1H), 3.79 (s, 3H). Missing Signal (1H, OH).
DOI: 10.14272/gjyiwqybismeii-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (3-hydroxy-2-(4-methoxyphenyl)-3H-isoindol-1-one)
title: InChI=1S/C15H13NO3/c1-19-11-8-6-10(7-9-11)16-14(17)12-4-2-3-5-13(12)15(16)18/h2-9,14,17H,1H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (101 MHz, CDCl3 [77.16 ppm], ppm): δ = 166.6, 157.4, 143.0, 132.8, 131.6, 130.2, 130.0, 124.6 (2C), 123.9, 123.3, 114.4 (2C), 83.5, 55.6.
DOI: 10.5281/zenodo.7962324
title: SciExpeM - 10.5281/zenodo.7962324

description: Sun et al., Combustion and Flame 244 (2022) 112247
DOI: 10.5281/zenodo.7962323
title: SciExpeM - 10.5281/zenodo.7962324

description: Sun et al., Combustion and Flame 244 (2022) 112247
DOI: 10.14272/gjyiwqybismeii-uhfffaoysa-n/chmo0000498
title: high-resolution mass spectrometry (HRMS) (3-hydroxy-2-(4-methoxyphenyl)-3H-isoindol-1-one)
title: InChI=1S/C15H13NO3/c1-19-11-8-6-10(7-9-11)16-14(17)12-4-2-3-5-13(12)15(16)18/h2-9,14,17H,1H3

description: dataset for high-resolution mass spectrometry (HRMS) HRMS-EI (m/z): [M]+ calcd for C15H13NO3, 255.0895, found 255.0880.
DOI: 10.14272/gjyiwqybismeii-uhfffaoysa-n/chmo0000473
title: atmospheric pressure chemical ionisation mass spectrometry (APCI MS) (3-hydroxy-2-(4-methoxyphenyl)-3H-isoindol-1-one)
title: InChI=1S/C15H13NO3/c1-19-11-8-6-10(7-9-11)16-14(17)12-4-2-3-5-13(12)15(16)18/h2-9,14,17H,1H3

description: dataset for atmospheric pressure chemical ionisation mass spectrometry (APCI MS) APCI (m/z): 258 (19), 257 (95), 256 (100), 255 (26) [M]+, 241 (22), 240 (91), 239 (99), 238 (99), 237 (43), 134 (22), 133 (39)
DOI: 10.5281/zenodo.7962061
title: Supplementary tables master's thesis Carolin Mattausch 2023

description: These table contain information about ChIP-seq files from different sources used in Carolin Mattausch's master's thesis "Integration of transcriptome and epigenome for comparative analysis of various chondrocyte subtypes" conducted November 2022 to June 2023 in the Department of Developmental Biology at the Center of Medical Biotechnology, University Duisburg-Essen, under the supervision of Prof. Dr. Andrea Vortkamp, Dr. Manuela Wuelling, and Christoph Neu. <strong>Supplementary table 1</strong>: Table containing number of successfully mapped sequencing reads, peaks, and peak-associated genes for in-house murine and human ChIP-seq data. <strong>Supplementary table 2</strong>: File IDs of in-house murine ChIP-seq files used for identification of chromatin states with ChromHMM and integrative analysis of ChIP- and RNA-seq data. <strong>Supplementary table 3</strong>: File IDs of in-house human ChIP-seq files used for identification of chromatin states with ChromHMM. <strong>Supplementary table 4</strong>: Metadata, experiment, and file accession numbers for ChIP-seq files downloaded from ENCODE. These files were used in in comparison of H3K27me3 level between different murine and human tissues. <strong>Supplementary table 5</strong>: Metadata, experiment, and file accession numbers for ChIP-seq files downloaded from Roadmap. These files were used in in comparison of H3K27me3 level between different murine and human tissues. <strong>Supplementary table 6</strong>: Metadata, experiment, and file accession numbers for ChIP-seq files downloaded from Gene Expression Omnibus. These files were used in in comparison of H3K27me3 level between different murine and human tissues. <strong>Supplementary table 7</strong>: Metadata and file IDs of in-house murine ChIP-seq files used in comparison of H3K27me3 level between different murine and human tissues. <strong>Supplementary table 8</strong>: Metadata and file IDs of in-house human ChIP-seq files used in comparison of H3K27me3 level between different murine and human tissues.
DOI: 10.14272/gjyiwqybismeii-uhfffaoysa-n.1
title: 3-hydroxy-2-(4-methoxyphenyl)isoindolin-1-one
title: InChI=1S/C15H13NO3/c1-19-11-8-6-10(7-9-11)16-14(17)12-4-2-3-5-13(12)15(16)18/h2-9,14,17H,1H3

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/C15H13NO3/c1-19-11-8-6-10(7-9-11)16-14(17)12-4-2-3-5-13(12)15(16)18/h2-9,14,17H,1H3, and canonical SMILES descriptor[cheminf_000007]: COc1ccc(cc1)N1C(O)c2c(C1=O)cccc2, and by the IUPAC name[cheminf_000107]: 3-hydroxy-2-(4-methoxyphenyl)-3H-isoindol-1-one. The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]: COc1ccc(cc1)N1C(O)c2c(C1=O)cccc2 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-33464 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]: Melting point descriptor[CHEMINF_000256]: 160.0 (°C) 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) CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR) CHMO:0000473 | atmospheric pressure chemical ionisation mass spectrometry (APCI MS) CHMO:0000630 | infrared absorption spectroscopy (IR) CHMO:0000498 | high-resolution mass spectrometry (HRMS) 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/gjyiwqybismeii-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) (3-hydroxy-2-(4-methoxyphenyl)-3H-isoindol-1-one)
title: InChI=1S/C15H13NO3/c1-19-11-8-6-10(7-9-11)16-14(17)12-4-2-3-5-13(12)15(16)18/h2-9,14,17H,1H3

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 3198 (m), 1667 (s), 1661 (vs), 1509 (vs), 1471 (m), 1459 (m), 1452 (m), 1441 (s), 1391 (s), 1309 (m), 1296 (vs), 1248 (vs), 1215 (m), 1209 (m), 1178 (s), 1164 (m), 1129 (vs), 1121 (vs), 1109 (vs), 1071 (vs), 1065 (vs), 1041 (m), 1025 (vs), 830 (vs), 799 (vs), 790 (vs), 773 (s), 740 (s), 718 (vs), 708 (vs), 689 (vs), 666 (vs), 636 (s), 630 (s), 573 (m), 546 (s), 530 (m), 520 (vs) cm–1.
DOI: 10.21227/961z-jn75
title: Data-efficient Human Walking Speed Intent Identification

description: This dataset is associated with the manuscript entitled "Data-efficient Human Walking Speed Intent Inference". The data represent the measurements taken from 15 able-bodied human subjects as the made speed changes while walking on a treadmill. Each subject is associated with a .mat file that contains 8 variables. Four variables are associated with the training dataset while four are associated with the experimental testing protocol. The testing data includes the time series trajectories of the four main joint angles of the lower body (the left leg hip flexion, right leg hip flexion, left leg knee flexion, and right leg knee flexion) as the individual made a series of speed changes.
DOI: 10.34740/kaggle/dsv/5753547
title: 2021 World Population (updated daily)
DOI: 10.23728/b2share.a38365b6f49647a3bff8aaae0b0ce767
title: Gesäuse-Johnsbachtal - Austria, Nomenclature of territorial units for statistics

description: Nomenclature of territorial units for statistics of the Gesäuse-Johnsbachtal site
DOI: 10.25375/uct.23057924
title: Nest design as an adaptative tool to escape brood parasitism

description: Abstract 1. Nest characteristics vary depending on environmental factors but may also be influenced by between-species interactions. As a defence against avian brood parasites, hosts can evolve specific nest architecture to minimise risks of brood parasitism by preventing access to the nest cup or reducing the success of the parasite chick. 2. The common redstart (<em>Phoenicurus phoenicurus</em>) is a regular host of the common cuckoo (<em>Cuculus canorus</em>), and due to its cavity-nesting behaviour, cuckoo eggs are often laid outside the nest cup and consequently unsuccessful. This allowed us to test (i) if cuckoos prefer certain host nest designs and (ii) if redstart nest design can reduce the probability of successful brood parasitism. 3. While recording brood parasitism events in two redstart populations, we documented nest cup characteristics, such as internal dimensions, materials used and position within the nest-box, as well as the distance and angle between the nest cup and the nest-box entrance hole. 4. We found that cuckoos preferred bigger nest cups, possibly targeting high-quality individuals, and nest cups that were built higher than the rim material, which may contribute to an easier eviction of the host eggs/nestlings. Redstarts, on the other hand, reduced successful brood parasitism by placing nest cups further from the cavity entrance, but also selecting cavities with relatively smaller entrances. 5. We show the importance of host nest design influencing the coevolution between hosts and brood parasites. Redstarts seem to adopt nest design strategies to decrease brood parasitism risk, while cuckoos’ preference for certain aspects of redstart nest design may be shaped by a conflict between female laying success and chick eviction success. Hosts’ and brood parasites’ frontline strategies may then shape host nest characteristics and parasite’s preferences, impacting their co-evolutionary arms-race.
DOI: 10.25375/uct.23057924.v1
title: Nest design as an adaptative tool to escape brood parasitism

description: Abstract 1. Nest characteristics vary depending on environmental factors but may also be influenced by between-species interactions. As a defence against avian brood parasites, hosts can evolve specific nest architecture to minimise risks of brood parasitism by preventing access to the nest cup or reducing the success of the parasite chick. 2. The common redstart (<em>Phoenicurus phoenicurus</em>) is a regular host of the common cuckoo (<em>Cuculus canorus</em>), and due to its cavity-nesting behaviour, cuckoo eggs are often laid outside the nest cup and consequently unsuccessful. This allowed us to test (i) if cuckoos prefer certain host nest designs and (ii) if redstart nest design can reduce the probability of successful brood parasitism. 3. While recording brood parasitism events in two redstart populations, we documented nest cup characteristics, such as internal dimensions, materials used and position within the nest-box, as well as the distance and angle between the nest cup and the nest-box entrance hole. 4. We found that cuckoos preferred bigger nest cups, possibly targeting high-quality individuals, and nest cups that were built higher than the rim material, which may contribute to an easier eviction of the host eggs/nestlings. Redstarts, on the other hand, reduced successful brood parasitism by placing nest cups further from the cavity entrance, but also selecting cavities with relatively smaller entrances. 5. We show the importance of host nest design influencing the coevolution between hosts and brood parasites. Redstarts seem to adopt nest design strategies to decrease brood parasitism risk, while cuckoos’ preference for certain aspects of redstart nest design may be shaped by a conflict between female laying success and chick eviction success. Hosts’ and brood parasites’ frontline strategies may then shape host nest characteristics and parasite’s preferences, impacting their co-evolutionary arms-race.
DOI: 10.23728/b2share.8c68dd725c0544c29b0f01becb867532
title: Gesäuse-Johnsbachtal - Austria, Nomenclature of territorial units for statistics

description: Nomenclature of territorial units for statistics of the Gesäuse-Johnsbachtal site
DOI: 10.5281/zenodo.7962362
title: IASI BC data AM

description: The reanalyzed daily IASI/Metop-B/C ammonia (NH3) total column dataset (ANNI-NH3-v3R) includes the results of a flexible and robust NH3 retrieval algorithm from measurements of the Infrared Atmospheric Sounding Interferometer (IASI). The method is based on the calculation of a spectral hyperspectral range index (HRI) and subsequent conversion to NH3 columns via a neural network. The dataset is available over Europe from January 2020 till June 2022. The full IASI dataset can be downloaded here: https://doi.org/10.25326/11 (Clarisse et al., 2018),
DOI: 10.5281/zenodo.7962361
title: IASI BC data AM

description: The reanalyzed daily IASI/Metop-B/C ammonia (NH3) total column dataset (ANNI-NH3-v3R) includes the results of a flexible and robust NH3 retrieval algorithm from measurements of the Infrared Atmospheric Sounding Interferometer (IASI). The method is based on the calculation of a spectral hyperspectral range index (HRI) and subsequent conversion to NH3 columns via a neural network. The dataset is available over Europe from January 2020 till June 2022. The full IASI dataset can be downloaded here: https://doi.org/10.25326/11 (Clarisse et al., 2018),
DOI: 10.17028/rd.lboro.23097164
title: Supplementary information files for The mechanisms underpinning the effects of self-control exertion on subsequent physical performance: a meta-analysis

description: Supplementary files for article The mechanisms underpinning the effects of self-control exertion on subsequent physical performance: a meta-analysis Prior self-control exertion is consistently reported to cause decrements in subsequent physical performance. However, research into the explanatory mechanisms underpinning the effect is limited and has not been assessed under a meta-analytical lens. Therefore, the present study reports a meta-analysis examining the effects of self-control exertion on subsequent physical performance, as well as the mechanisms underpinning the effect. A systematic search of relevant databases was conducted to identify studies that utilized the sequential task paradigm, involving self-control manipulations lasting 30 minutes or less, and examined an aspect of physical performance. Random effects meta-analysis demonstrated that the prior exertion of self-control resulted in a statistically significant medium sized negative effect of prior self-control exertion on subsequent physical performance (g = −0.55). Further analysis revealed a small increase in initial perceptions of pain (g = 0.18) and a medium sized reduction in self-efficacy (g = −0.48), while motivation and RPE were unaffected following the exertion of self-control. The present study provides a novel insight into the mechanisms underpinning the effects of prior self-control exertion on subsequent physical performance. Initial perceptions of pain and self-efficacy appear important mechanisms and thus could be targeted in future interventions aimed at attenuating the effects of self-control exertion to enhance subsequent physical performance. <br> <br>