cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.4307813
title: Materials for Pashler & Heriot "Perceptions of Newsworthiness are Contaminated by a Political Usefulness Bias "

description: Raw data
DOI: 10.6084/m9.figshare.12853852
title: Making claims about learning: a microgenetic multiple case study of temporal patterns of conceptual change in learners’ activation of force conceptions

description: Representing conceptual change is challenging. Claims that conceptual change has occurred are sometimes based on data from a small number of probes given over a relatively long interval. Data collected in this way do not allow short-lived variability to be distinguished from more stable conceptual change and can lead to mistaken conclusions about learning. Different forms of variability can be distinguished by reporting temporal patterns of conceptual change, representations of the activations of different conceptions over an interval. In this paper, temporal patterns are constructed from a microgenetic, multiple case study of four 16-17-year-old students’ learning in a school in England. The students were interviewed once a week for twenty-two weeks using various probes related to force. The learners’ activation of two force conceptions showed a high degree of variability over time and to different contexts. Three temporal patterns are discussed, leading to recommendations for teachers and researchers interested in making claims about learning: change should be described by reference to data collected at multiple points over an extended period and claims that conceptual change has occurred require evidence that change has reached a relatively stable state. Future directions for investigations of temporal patterns of conceptual change are proposed.
DOI: 10.6084/m9.figshare.12853852.v1
title: Making claims about learning: a microgenetic multiple case study of temporal patterns of conceptual change in learners’ activation of force conceptions

description: Representing conceptual change is challenging. Claims that conceptual change has occurred are sometimes based on data from a small number of probes given over a relatively long interval. Data collected in this way do not allow short-lived variability to be distinguished from more stable conceptual change and can lead to mistaken conclusions about learning. Different forms of variability can be distinguished by reporting temporal patterns of conceptual change, representations of the activations of different conceptions over an interval. In this paper, temporal patterns are constructed from a microgenetic, multiple case study of four 16-17-year-old students’ learning in a school in England. The students were interviewed once a week for twenty-two weeks using various probes related to force. The learners’ activation of two force conceptions showed a high degree of variability over time and to different contexts. Three temporal patterns are discussed, leading to recommendations for teachers and researchers interested in making claims about learning: change should be described by reference to data collected at multiple points over an extended period and claims that conceptual change has occurred require evidence that change has reached a relatively stable state. Future directions for investigations of temporal patterns of conceptual change are proposed.
DOI: 10.6084/m9.figshare.4307819.v1
title: Game Teorema Pythagoras(Adrianus Galang Permana Putra)- update ganti game

description: game pythagoras, piperevisi ganti game
DOI: 10.6084/m9.figshare.4307819.v2
title: Game Teorema Pythagoras(Adrianus Galang Permana Putra)- update ganti game

description: game pythagoras, piperevisi ganti game
DOI: 10.6084/m9.figshare.4307810
title: Dataset for: A hierarchical modeling approach to estimate regional acute health effects of particulate matter sources

description: Exposure to particulate matter (PM) air pollution has been associated with a range of adverse health outcomes, including cardiovascular disease (CVD) hospitalizations and other clinical parameters. Determining which sources of PM, such as traffic or industry, are most associated with adverse health outcomes could help guide future recommendations aimed at reducing harmful pollution exposure for susceptible individuals. Information obtained from multisite studies, which is generally more precise than information from a single location, is critical to understanding how PM impacts health and to informing local strategies for reducing individual-level PM exposure. However, few methods exist to perform multisite studies of PM sources, which are not generally directly observed, and adverse health outcomes. We developed SHARE, a hierarchical modeling approach that facilitates reproducible, multisite epidemiologic studies of PM sources. SHARE is a two-stage approach that first summarizes information about PM sources across multiple sites. Then, this information is used to determine how community-level (i.e. county- or city-level) health effects of PM sources should be pooled to estimate regional-level health effects. SHARE is a type of population value decomposition that aims to separate out regional-level features from site-level data. Unlike previous approaches for multisite epidemiologic studies of PM sources, the SHARE approach allows the specific PM sources identified to vary by site. Using data from 2000-2010 for 63 northeastern US counties, we estimated regional-level health effects associated with short-term exposure to major types of PM sources. We found PM from secondary sulfate, traffic, and metals sources was most associated with CVD hospitalizations.
DOI: 10.6084/m9.figshare.4307804
title: Dataset for: Territorial origin of olive oil: Representing georeferenced maps of olive oils by NMR profiling.

description: <sup>1</sup>H NMR profiling is nowadays a consolidated technique for the identification of geographical origin of food samples. The common approach consists in correlating NMR spectra of food samples to their territorial origin by multivariate classification statistical algorithms. In the present work we illustrate an alternative perspective to exploit territorial information, contained in the NMR spectra, which is based on the implementation of a Geographic Information System (GIS). NMR spectra are used to build a GIS map permitting the identification of territorial regions having strong similarities in the chemical content of the produced food (terroir units). These terroir units can, in turn, be used as input for labeling samples to be analyzed by traditional classification methods. In this work we describe the methods and the algorithms which permits to produce GIS maps from NMR profiles and apply the described method to the analysis of the geographical distribution of olive oils in an Italian region. In particular, we analyzed by <sup>1</sup>H NMR up to 98 georeferenced olive oil samples produced in the Abruzzo Italian region. By using the first principal component of the NMR variables selected according to the Moran test, we produced a GIS map, in which we identified two regions incidentally corresponding to the provinces of Teramo and Pescara. We then labeled the samples according to the province of provenience and built a LDA model which provides a classification ability up to 99 % . A comparison between the variables selected in the geostatistics and classification steps is finally performed.
DOI: 10.6084/m9.figshare.4307804.v1
title: Dataset for: Territorial origin of olive oil: Representing georeferenced maps of olive oils by NMR profiling.

description: <sup>1</sup>H NMR profiling is nowadays a consolidated technique for the identification of geographical origin of food samples. The common approach consists in correlating NMR spectra of food samples to their territorial origin by multivariate classification statistical algorithms. In the present work we illustrate an alternative perspective to exploit territorial information, contained in the NMR spectra, which is based on the implementation of a Geographic Information System (GIS). NMR spectra are used to build a GIS map permitting the identification of territorial regions having strong similarities in the chemical content of the produced food (terroir units). These terroir units can, in turn, be used as input for labeling samples to be analyzed by traditional classification methods. In this work we describe the methods and the algorithms which permits to produce GIS maps from NMR profiles and apply the described method to the analysis of the geographical distribution of olive oils in an Italian region. In particular, we analyzed by <sup>1</sup>H NMR up to 98 georeferenced olive oil samples produced in the Abruzzo Italian region. By using the first principal component of the NMR variables selected according to the Moran test, we produced a GIS map, in which we identified two regions incidentally corresponding to the provinces of Teramo and Pescara. We then labeled the samples according to the province of provenience and built a LDA model which provides a classification ability up to 99 % . A comparison between the variables selected in the geostatistics and classification steps is finally performed.
DOI: 10.6084/m9.figshare.4307810.v1
title: Dataset for: A hierarchical modeling approach to estimate regional acute health effects of particulate matter sources

description: Exposure to particulate matter (PM) air pollution has been associated with a range of adverse health outcomes, including cardiovascular disease (CVD) hospitalizations and other clinical parameters. Determining which sources of PM, such as traffic or industry, are most associated with adverse health outcomes could help guide future recommendations aimed at reducing harmful pollution exposure for susceptible individuals. Information obtained from multisite studies, which is generally more precise than information from a single location, is critical to understanding how PM impacts health and to informing local strategies for reducing individual-level PM exposure. However, few methods exist to perform multisite studies of PM sources, which are not generally directly observed, and adverse health outcomes. We developed SHARE, a hierarchical modeling approach that facilitates reproducible, multisite epidemiologic studies of PM sources. SHARE is a two-stage approach that first summarizes information about PM sources across multiple sites. Then, this information is used to determine how community-level (i.e. county- or city-level) health effects of PM sources should be pooled to estimate regional-level health effects. SHARE is a type of population value decomposition that aims to separate out regional-level features from site-level data. Unlike previous approaches for multisite epidemiologic studies of PM sources, the SHARE approach allows the specific PM sources identified to vary by site. Using data from 2000-2010 for 63 northeastern US counties, we estimated regional-level health effects associated with short-term exposure to major types of PM sources. We found PM from secondary sulfate, traffic, and metals sources was most associated with CVD hospitalizations.
DOI: 10.6084/m9.figshare.4307783
title: Constructing an Inquiry Orientation from a Learning Theory Perspective: Democratizing Access through Task Design

description: It is widely accepted in the mathematics education community that pedagogies oriented toward inquiry are aligned with a constructivist theory of learning, and that these pedagogies effectively support students’ learning of mathematics. In order to promote such an orientation, we first separate the idea of inquiry from its conception as a collection of methods. Then, by grounding those methods in a generally accepted theory of learning, we construct an inquiry-oriented pedagogy from a constructivist perspective. We then discuss the implications of this pedagogy for the design of mathematical tasks that democratize student access to inquiry. This work has implications for educators who wish to enact an inquiry-oriented pedagogy in their classroom in order to support their students’ problem solving and problem posing.
DOI: 10.6084/m9.figshare.4307771
title: NEON Teaching Data: Tower Temperature Data (HDF5)

description: This teaching data set has sample NEON flux tower temperature data from two different field sites. The file is an HDF5 file. <br>This teaching data set is used for several tutorials on the NEON website (neonscience.org). The dataset is for educational purposes, data for research purposes can be obtained from the NEON Data Portal (data.neonscience.org).<br>
DOI: 10.6084/m9.figshare.4307783.v1
title: Constructing an Inquiry Orientation from a Learning Theory Perspective: Democratizing Access through Task Design

description: It is widely accepted in the mathematics education community that pedagogies oriented toward inquiry are aligned with a constructivist theory of learning, and that these pedagogies effectively support students’ learning of mathematics. In order to promote such an orientation, we first separate the idea of inquiry from its conception as a collection of methods. Then, by grounding those methods in a generally accepted theory of learning, we construct an inquiry-oriented pedagogy from a constructivist perspective. We then discuss the implications of this pedagogy for the design of mathematical tasks that democratize student access to inquiry. This work has implications for educators who wish to enact an inquiry-oriented pedagogy in their classroom in order to support their students’ problem solving and problem posing.
DOI: 10.6084/m9.figshare.4307771.v1
title: NEON Teaching Data: Tower Temperature Data (HDF5)

description: This teaching data set has sample NEON flux tower temperature data from two different field sites. The file is an HDF5 file. <br>This teaching data set is used for several tutorials on the NEON website (neonscience.org). The dataset is for educational purposes, data for research purposes can be obtained from the NEON Data Portal (data.neonscience.org).<br>
DOI: 10.6084/m9.figshare.4307765
title: Investigating the function of play bows in dog and wolf puppies (Canis lupus familiaris, Canis lupus occidentalis)

description: The data set includes all relevant information that was used to run GLMM in the paper "Investigating the function of play bows in dog and wolf puppies (Canis lupus familiaris, Canis lupus occidentals)." For additional information on the statistics conducted please see the manuscript.
DOI: 10.6084/m9.figshare.4307750
title: NEON Teaching Data: LiDAR Point Cloud (.las) Data

description: This .las file contains sample LiDAR point cloud data collected by National Ecological Observatory Network's Airborne Observation Platform. The .las file format is a commonly used file format to store LIDAR point cloud data.<br>This teaching data set is used for several tutorials on the NEON website (neonscience.org). The dataset is for educational purposes, data for research purposes can be obtained from the NEON Data Portal (data.neonscience.org).<br><br>
DOI: 10.6084/m9.figshare.4307183
title: NEON Teaching Data: Imaging Spectrometer Data HDF5

description: The hyperspectral remote sensing data in this HDF5 file were collected over the San Joaquin field site located in California (Domain 17) and processed at NEON headquarters. The NEON imaging spectrometer sensor <br>collected data within 428 bands.<br>This teaching data set is used for several tutorials on the NEON website (neonscience.org). The dataset is for educational purposes, data for research purposes can be obtained from the NEON Data Portal (data.neonscience.org).<br>
DOI: 10.6084/m9.figshare.4306649
title: Hex

description: hex table
DOI: 10.6084/m9.figshare.4306649.v1
title: Hex

description: hex table
DOI: 10.6084/m9.figshare.4300412
title: NEON Teaching Data: Field Site Spatial Data

description: This file set contains select spatial and remote sensing data for the NEON San Joaquin Experimental Range (SJER) and Soaproot Saddle (SOAP) field sites. <br><br>The file, when unzipped, is 283 MB. <br>This teaching data subset is used for several tutorials on the NEON website (neonscience.org). The dataset is for educational purposes, data for research purposes can be obtained from the NEON Data Portal (data.neonscience.org).<br>
DOI: 10.6084/m9.figshare.4300412.v1
title: NEON Teaching Data: Field Site Spatial Data

description: This teaching data subset is used for several tutorials on the NEON Data Skills site (www.neondataskills.org). The dataset is for educational purposes, data for research purposes can be obtained from the NEON Data Portal (data.neonscience.org). <br>This file set contains select spatial and remote sensing data for the NEON San Joaquin and Soaproot Saddle field sites. <br>The file, when unzipped, is 251 MB.
DOI: 10.6084/m9.figshare.4300412.v2
title: NEON Teaching Data: Field Site Spatial Data

description: This teaching data subset is used for several tutorials on the NEON Data Skills site (www.neondataskills.org). The dataset is for educational purposes, data for research purposes can be obtained from the NEON Data Portal (data.neonscience.org). <br>This file set contains select spatial and remote sensing data for the NEON San Joaquin Experimental Range (SJER) and Soaproot Saddle (SOAP) field sites. <br>The file, when unzipped, is 283 MB.
DOI: 10.6084/m9.figshare.4300280
title: 3Year K-Pop Survey: Name Your Favorite Group

description: 334 Responses collected 4/16/2012 - 4/01/2015 in response to the question, "Name your favorite group OR artist and explain why that artist is your favorite."
DOI: 10.6084/m9.figshare.4300412.v3
title: NEON Teaching Data: Field Site Spatial Data

description: This teaching data subset is used for several tutorials on the NEON Data Skills site (www.neondataskills.org). The dataset is for educational purposes, data for research purposes can be obtained from the NEON Data Portal (data.neonscience.org). <br>This file set contains select spatial and remote sensing data for the NEON San Joaquin Experimental Range (SJER) and Soaproot Saddle (SOAP) field sites. <br>The file, when unzipped, is 283 MB.
DOI: 10.6084/m9.figshare.4300175
title: Assessing sampling of the fossil record in a geographically and stratigraphically constrained dataset: the Chalk Group of Hampshire, southern UK

description: A locality list, abundance matrix and all correlation and modelling result
DOI: 10.6084/m9.figshare.4300160
title: fake-data

description: This is just numbers<br>
DOI: 10.6084/m9.figshare.4300160.v1
title: fake-data

description: This is just numbers<br>
DOI: 10.6084/m9.figshare.4300175.v1
title: Assessing sampling of the fossil record in a geographically and stratigraphically constrained dataset: the Chalk Group of Hampshire, southern UK

description: A locality list, abundance matrix and all correlation and modelling result
DOI: 10.6084/m9.figshare.4300109
title: How is Herstatin, a tumor suppressor splice variant of the oncogene <i>HER2</i>, regulated?

description: The human epidermal growth factor receptor 2 (HER2)/receptor tyrosine-protein kinasebB-2 (ERBB2) is overexpressed in 20–30% of breast tumors leading to faster growing and more aggressive tumors. Alternative splicing generates a functionally distinct HER2 variant called Herstatin, which is produced by the inclusion of intron 8. Herstatin acts as a tumor suppressor by effectively blocking HER2 activity and cell proliferation, while promoting apoptosis. In the present study we investigated HER2 pre-mRNA regulatory sequences and splicing factors which regulate the alternative splicing of Herstatin. A Herstatin minigene, comprising exon 8/intron 8/exon 9 of HER2 was generated and subsequent in vitro splicing assays revealed that RNA secondary structure and somatic mutations did not impact on inclusion of intron 8. However, using RNase-assisted RNA chromatography, followed by mass spectrometry, we identified six RNA-binding proteins (splicing factors) that bind to RNA sequences surrounding exon 8/intron 8 and intron 8/exon 9 boundaries; these included hnRNP I, H1, D, A2/B1 and hnRNPA1 plus the SR protein SRSF1. Specifically, overexpression of hnRNP A1 significantly increased retention of intron 8 resulting in higher levels of Herstatin in SKBR3 breast cancer cells whereas SRSF1 only had a marginal effect in decreasing Herstatin but increased exogenous HER2 levels under these experimental conditions. In conclusion, we have identified the first splicing factors and regulatory sequences that are involved in the production of Herstatin.
DOI: 10.6084/m9.figshare.4300106
title: Establishment of a high-throughput detection system for DNA demethylating agents

description: Epigenetic alterations underlie various human disorders, including cancer, and this has resulted in the development of drugs targeting epigenetic alterations. Although DNA demethylating agents are one of the major epigenetic drugs, only two compounds—5-azacytidine (5-aza-CR, azacitidine) and 5-aza-2'-deoxycytidine (5-aza-dC, decitabine)—have obtained clinical approval. Here, we aimed to establish a detection system for DNA demethylating agents suitable for a high-throughput screening (HTS) in mammalian cells. We inserted luciferase and <i>EGFP</i> reporter genes under the <i>UCHL1</i> promoter, which is methylation-silenced in human colon cancers and can be readily demethylated to drive strong expression. Methylated <i>UCHL1</i> promoter was introduced into HCT116 colon cancer cells, and transfectants with methylated exogenous <i>UCHL1</i> promoter were obtained. By screening subclones from each of the epigenetically heterogeneous transfectant clones, we finally obtained three optimal subclones that expressed luciferase and <i>EGFP</i> after 5-aza-dC treatment with high signal-to-noise ratios. Nucleosomes with H3K9me2 were present around the exogenous <i>UCHL1</i> promoter in all three subclones. Using one of the subclones (HML58-3), HTS was conducted using 19,840 small molecules. Two hit compounds were obtained, and these turned out to be 5-aza-dC and 5-aza-CR. The assay system constructed here demonstrates a robust response to DNA demethylating agents, along with high specificity, and will be useful for screening and biological assays in epigenetics.
DOI: 10.6084/m9.figshare.4300106.v1
title: Establishment of a high-throughput detection system for DNA demethylating agents

description: Epigenetic alterations underlie various human disorders, including cancer, and this has resulted in the development of drugs targeting epigenetic alterations. Although DNA demethylating agents are one of the major epigenetic drugs, only two compounds—5-azacytidine (5-aza-CR, azacitidine) and 5-aza-2'-deoxycytidine (5-aza-dC, decitabine)—have obtained clinical approval. Here, we aimed to establish a detection system for DNA demethylating agents suitable for a high-throughput screening (HTS) in mammalian cells. We inserted luciferase and <i>EGFP</i> reporter genes under the <i>UCHL1</i> promoter, which is methylation-silenced in human colon cancers and can be readily demethylated to drive strong expression. Methylated <i>UCHL1</i> promoter was introduced into HCT116 colon cancer cells, and transfectants with methylated exogenous <i>UCHL1</i> promoter were obtained. By screening subclones from each of the epigenetically heterogeneous transfectant clones, we finally obtained three optimal subclones that expressed luciferase and <i>EGFP</i> after 5-aza-dC treatment with high signal-to-noise ratios. Nucleosomes with H3K9me2 were present around the exogenous <i>UCHL1</i> promoter in all three subclones. Using one of the subclones (HML58-3), HTS was conducted using 19,840 small molecules. Two hit compounds were obtained, and these turned out to be 5-aza-dC and 5-aza-CR. The assay system constructed here demonstrates a robust response to DNA demethylating agents, along with high specificity, and will be useful for screening and biological assays in epigenetics.