cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17182/hepdata.114862.v2/t21
title: "7 channel Covariance Matrix, LEE(x=0.5)" of "Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction"

description: 7 channel covariance matrix showing correlations between bins due to flux uncertainties, cross-section uncertainties, hadron reinteraction uncertainties, detector systematic uncertainties, Monte-Carlo statistical uncertainties, and dirt (outside cryostat) uncertainties. For the data statistical uncertainty covariance matrix, (only diagonal elements, not included here), the Neyman, Pearson, or combined Neyman and Pearson (CNP) techniques can be used. This corresponds to LEE(x=0.5). No constraints have been applied at this stage. The 1-26th bins/rows/columns correspond to the $\nu_e$CC FC channel. The 27-52nd bins/rows/columns correspond to the $\nu_e$CC PC channel. The 53-78th bins/rows/columns correspond to the $\nu_\mu$CC FC channel. The 79-104th bins/rows/columns correspond to the $\nu_\mu$CC PC channel. The 105-115th bins/rows/columns correspond to the CC$\pi^0$ FC channel. The 116-126th bins/rows/columns correspond to the CC$\pi^0$ PC channel. The 127-137th bins/rows/columns correspond to the NC$\pi^0$ channel.
description: Data release for the first results from MicroBooNE's inclusive $\nu_e$CC search using Wire-Cell reconstruction, corresponding to information from arXiv:2110.13978. Attached is a python script which shows an example of how to use this data release to plot the unconstrained and constrained $\nu_e$CC FC data and predictions. Version 2 adds $\nu_\mu$CC energy resolution matrices, and fixes a small issue in the previous version in which the bins in the $\nu_e$CC energy resolution matrices were shifted by 50 MeV.
DOI: 10.17182/hepdata.114862.v2/t22
title: "7 channel Covariance Matrix, LEE(x=0.6)" of "Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction"

description: 7 channel covariance matrix showing correlations between bins due to flux uncertainties, cross-section uncertainties, hadron reinteraction uncertainties, detector systematic uncertainties, Monte-Carlo statistical uncertainties, and dirt (outside cryostat) uncertainties. For the data statistical uncertainty covariance matrix, (only diagonal elements, not included here), the Neyman, Pearson, or combined Neyman and Pearson (CNP) techniques can be used. This corresponds to LEE(x=0.6). No constraints have been applied at this stage. The 1-26th bins/rows/columns correspond to the $\nu_e$CC FC channel. The 27-52nd bins/rows/columns correspond to the $\nu_e$CC PC channel. The 53-78th bins/rows/columns correspond to the $\nu_\mu$CC FC channel. The 79-104th bins/rows/columns correspond to the $\nu_\mu$CC PC channel. The 105-115th bins/rows/columns correspond to the CC$\pi^0$ FC channel. The 116-126th bins/rows/columns correspond to the CC$\pi^0$ PC channel. The 127-137th bins/rows/columns correspond to the NC$\pi^0$ channel.
description: Data release for the first results from MicroBooNE's inclusive $\nu_e$CC search using Wire-Cell reconstruction, corresponding to information from arXiv:2110.13978. Attached is a python script which shows an example of how to use this data release to plot the unconstrained and constrained $\nu_e$CC FC data and predictions. Version 2 adds $\nu_\mu$CC energy resolution matrices, and fixes a small issue in the previous version in which the bins in the $\nu_e$CC energy resolution matrices were shifted by 50 MeV.
DOI: 10.17182/hepdata.114862.v2/t17
title: "7 channel Covariance Matrix, LEE(x=0.1)" of "Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction"

description: 7 channel covariance matrix showing correlations between bins due to flux uncertainties, cross-section uncertainties, hadron reinteraction uncertainties, detector systematic uncertainties, Monte-Carlo statistical uncertainties, and dirt (outside cryostat) uncertainties. For the data statistical uncertainty covariance matrix, (only diagonal elements, not included here), the Neyman, Pearson, or combined Neyman and Pearson (CNP) techniques can be used. This corresponds to LEE(x=0.1). No constraints have been applied at this stage. The 1-26th bins/rows/columns correspond to the $\nu_e$CC FC channel. The 27-52nd bins/rows/columns correspond to the $\nu_e$CC PC channel. The 53-78th bins/rows/columns correspond to the $\nu_\mu$CC FC channel. The 79-104th bins/rows/columns correspond to the $\nu_\mu$CC PC channel. The 105-115th bins/rows/columns correspond to the CC$\pi^0$ FC channel. The 116-126th bins/rows/columns correspond to the CC$\pi^0$ PC channel. The 127-137th bins/rows/columns correspond to the NC$\pi^0$ channel.
description: Data release for the first results from MicroBooNE's inclusive $\nu_e$CC search using Wire-Cell reconstruction, corresponding to information from arXiv:2110.13978. Attached is a python script which shows an example of how to use this data release to plot the unconstrained and constrained $\nu_e$CC FC data and predictions. Version 2 adds $\nu_\mu$CC energy resolution matrices, and fixes a small issue in the previous version in which the bins in the $\nu_e$CC energy resolution matrices were shifted by 50 MeV.
DOI: 10.17182/hepdata.114862.v2/t24
title: "7 channel Covariance Matrix, LEE(x=0.8)" of "Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction"

description: 7 channel covariance matrix showing correlations between bins due to flux uncertainties, cross-section uncertainties, hadron reinteraction uncertainties, detector systematic uncertainties, Monte-Carlo statistical uncertainties, and dirt (outside cryostat) uncertainties. For the data statistical uncertainty covariance matrix, (only diagonal elements, not included here), the Neyman, Pearson, or combined Neyman and Pearson (CNP) techniques can be used. This corresponds to LEE(x=0.8). No constraints have been applied at this stage. The 1-26th bins/rows/columns correspond to the $\nu_e$CC FC channel. The 27-52nd bins/rows/columns correspond to the $\nu_e$CC PC channel. The 53-78th bins/rows/columns correspond to the $\nu_\mu$CC FC channel. The 79-104th bins/rows/columns correspond to the $\nu_\mu$CC PC channel. The 105-115th bins/rows/columns correspond to the CC$\pi^0$ FC channel. The 116-126th bins/rows/columns correspond to the CC$\pi^0$ PC channel. The 127-137th bins/rows/columns correspond to the NC$\pi^0$ channel.
description: Data release for the first results from MicroBooNE's inclusive $\nu_e$CC search using Wire-Cell reconstruction, corresponding to information from arXiv:2110.13978. Attached is a python script which shows an example of how to use this data release to plot the unconstrained and constrained $\nu_e$CC FC data and predictions. Version 2 adds $\nu_\mu$CC energy resolution matrices, and fixes a small issue in the previous version in which the bins in the $\nu_e$CC energy resolution matrices were shifted by 50 MeV.
DOI: 10.17182/hepdata.114862.v2/t25
title: "7 channel Covariance Matrix, LEE(x=0.9)" of "Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction"

description: 7 channel covariance matrix showing correlations between bins due to flux uncertainties, cross-section uncertainties, hadron reinteraction uncertainties, detector systematic uncertainties, Monte-Carlo statistical uncertainties, and dirt (outside cryostat) uncertainties. For the data statistical uncertainty covariance matrix, (only diagonal elements, not included here), the Neyman, Pearson, or combined Neyman and Pearson (CNP) techniques can be used. This corresponds to LEE(x=0.9). No constraints have been applied at this stage. The 1-26th bins/rows/columns correspond to the $\nu_e$CC FC channel. The 27-52nd bins/rows/columns correspond to the $\nu_e$CC PC channel. The 53-78th bins/rows/columns correspond to the $\nu_\mu$CC FC channel. The 79-104th bins/rows/columns correspond to the $\nu_\mu$CC PC channel. The 105-115th bins/rows/columns correspond to the CC$\pi^0$ FC channel. The 116-126th bins/rows/columns correspond to the CC$\pi^0$ PC channel. The 127-137th bins/rows/columns correspond to the NC$\pi^0$ channel.
description: Data release for the first results from MicroBooNE's inclusive $\nu_e$CC search using Wire-Cell reconstruction, corresponding to information from arXiv:2110.13978. Attached is a python script which shows an example of how to use this data release to plot the unconstrained and constrained $\nu_e$CC FC data and predictions. Version 2 adds $\nu_\mu$CC energy resolution matrices, and fixes a small issue in the previous version in which the bins in the $\nu_e$CC energy resolution matrices were shifted by 50 MeV.
DOI: 10.17182/hepdata.114862.v2/t26
title: "7 channel Covariance Matrix, LEE(x=1.0)" of "Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction"

description: 7 channel covariance matrix showing correlations between bins due to flux uncertainties, cross-section uncertainties, hadron reinteraction uncertainties, detector systematic uncertainties, Monte-Carlo statistical uncertainties, and dirt (outside cryostat) uncertainties. For the data statistical uncertainty covariance matrix, (only diagonal elements, not included here), the Neyman, Pearson, or combined Neyman and Pearson (CNP) techniques can be used. This corresponds to LEE(x=1.0), the median unfolded MiniBooNE LEE under a $\nu_e$CC hypothesis. No constraints have been applied at this stage. The 1-26th bins/rows/columns correspond to the $\nu_e$CC FC channel. The 27-52nd bins/rows/columns correspond to the $\nu_e$CC PC channel. The 53-78th bins/rows/columns correspond to the $\nu_\mu$CC FC channel. The 79-104th bins/rows/columns correspond to the $\nu_\mu$CC PC channel. The 105-115th bins/rows/columns correspond to the CC$\pi^0$ FC channel. The 116-126th bins/rows/columns correspond to the CC$\pi^0$ PC channel. The 127-137th bins/rows/columns correspond to the NC$\pi^0$ channel.
description: Data release for the first results from MicroBooNE's inclusive $\nu_e$CC search using Wire-Cell reconstruction, corresponding to information from arXiv:2110.13978. Attached is a python script which shows an example of how to use this data release to plot the unconstrained and constrained $\nu_e$CC FC data and predictions. Version 2 adds $\nu_\mu$CC energy resolution matrices, and fixes a small issue in the previous version in which the bins in the $\nu_e$CC energy resolution matrices were shifted by 50 MeV.
DOI: 10.17182/hepdata.114862.v2/t27
title: "7 channel Covariance Matrix, LEE(x=1.1)" of "Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction"

description: 7 channel covariance matrix showing correlations between bins due to flux uncertainties, cross-section uncertainties, hadron reinteraction uncertainties, detector systematic uncertainties, Monte-Carlo statistical uncertainties, and dirt (outside cryostat) uncertainties. For the data statistical uncertainty covariance matrix, (only diagonal elements, not included here), the Neyman, Pearson, or combined Neyman and Pearson (CNP) techniques can be used. This corresponds to LEE(x=1.1). No constraints have been applied at this stage. The 1-26th bins/rows/columns correspond to the $\nu_e$CC FC channel. The 27-52nd bins/rows/columns correspond to the $\nu_e$CC PC channel. The 53-78th bins/rows/columns correspond to the $\nu_\mu$CC FC channel. The 79-104th bins/rows/columns correspond to the $\nu_\mu$CC PC channel. The 105-115th bins/rows/columns correspond to the CC$\pi^0$ FC channel. The 116-126th bins/rows/columns correspond to the CC$\pi^0$ PC channel. The 127-137th bins/rows/columns correspond to the NC$\pi^0$ channel.
description: Data release for the first results from MicroBooNE's inclusive $\nu_e$CC search using Wire-Cell reconstruction, corresponding to information from arXiv:2110.13978. Attached is a python script which shows an example of how to use this data release to plot the unconstrained and constrained $\nu_e$CC FC data and predictions. Version 2 adds $\nu_\mu$CC energy resolution matrices, and fixes a small issue in the previous version in which the bins in the $\nu_e$CC energy resolution matrices were shifted by 50 MeV.
DOI: 10.17182/hepdata.114862.v2/t29
title: "7 channel Covariance Matrix, LEE(x=1.3)" of "Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction"

description: 7 channel covariance matrix showing correlations between bins due to flux uncertainties, cross-section uncertainties, hadron reinteraction uncertainties, detector systematic uncertainties, Monte-Carlo statistical uncertainties, and dirt (outside cryostat) uncertainties. For the data statistical uncertainty covariance matrix, (only diagonal elements, not included here), the Neyman, Pearson, or combined Neyman and Pearson (CNP) techniques can be used. This corresponds to LEE(x=1.3). No constraints have been applied at this stage. The 1-26th bins/rows/columns correspond to the $\nu_e$CC FC channel. The 27-52nd bins/rows/columns correspond to the $\nu_e$CC PC channel. The 53-78th bins/rows/columns correspond to the $\nu_\mu$CC FC channel. The 79-104th bins/rows/columns correspond to the $\nu_\mu$CC PC channel. The 105-115th bins/rows/columns correspond to the CC$\pi^0$ FC channel. The 116-126th bins/rows/columns correspond to the CC$\pi^0$ PC channel. The 127-137th bins/rows/columns correspond to the NC$\pi^0$ channel.
description: Data release for the first results from MicroBooNE's inclusive $\nu_e$CC search using Wire-Cell reconstruction, corresponding to information from arXiv:2110.13978. Attached is a python script which shows an example of how to use this data release to plot the unconstrained and constrained $\nu_e$CC FC data and predictions. Version 2 adds $\nu_\mu$CC energy resolution matrices, and fixes a small issue in the previous version in which the bins in the $\nu_e$CC energy resolution matrices were shifted by 50 MeV.
DOI: 10.17182/hepdata.114862.v2/t31
title: "7 channel Covariance Matrix, LEE(x=1.5)" of "Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction"

description: 7 channel covariance matrix showing correlations between bins due to flux uncertainties, cross-section uncertainties, hadron reinteraction uncertainties, detector systematic uncertainties, Monte-Carlo statistical uncertainties, and dirt (outside cryostat) uncertainties. For the data statistical uncertainty covariance matrix, (only diagonal elements, not included here), the Neyman, Pearson, or combined Neyman and Pearson (CNP) techniques can be used. This corresponds to LEE(x=1.5). No constraints have been applied at this stage. The 1-26th bins/rows/columns correspond to the $\nu_e$CC FC channel. The 27-52nd bins/rows/columns correspond to the $\nu_e$CC PC channel. The 53-78th bins/rows/columns correspond to the $\nu_\mu$CC FC channel. The 79-104th bins/rows/columns correspond to the $\nu_\mu$CC PC channel. The 105-115th bins/rows/columns correspond to the CC$\pi^0$ FC channel. The 116-126th bins/rows/columns correspond to the CC$\pi^0$ PC channel. The 127-137th bins/rows/columns correspond to the NC$\pi^0$ channel.
description: Data release for the first results from MicroBooNE's inclusive $\nu_e$CC search using Wire-Cell reconstruction, corresponding to information from arXiv:2110.13978. Attached is a python script which shows an example of how to use this data release to plot the unconstrained and constrained $\nu_e$CC FC data and predictions. Version 2 adds $\nu_\mu$CC energy resolution matrices, and fixes a small issue in the previous version in which the bins in the $\nu_e$CC energy resolution matrices were shifted by 50 MeV.
DOI: 10.25549/vercoutere-ouc110611936
title: Woven wall hanging in cream with diamond pattern

description: Cream warp thread with black and silver metallic thread and cream yarn weft creating a diamond pattern on both sides of a plain pattern center; plain pattern weave on horizontal (weft) edges
DOI: 10.17182/hepdata.114862.v2/t23
title: "7 channel Covariance Matrix, LEE(x=0.7)" of "Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction"

description: 7 channel covariance matrix showing correlations between bins due to flux uncertainties, cross-section uncertainties, hadron reinteraction uncertainties, detector systematic uncertainties, Monte-Carlo statistical uncertainties, and dirt (outside cryostat) uncertainties. For the data statistical uncertainty covariance matrix, (only diagonal elements, not included here), the Neyman, Pearson, or combined Neyman and Pearson (CNP) techniques can be used. This corresponds to LEE(x=0.7). No constraints have been applied at this stage. The 1-26th bins/rows/columns correspond to the $\nu_e$CC FC channel. The 27-52nd bins/rows/columns correspond to the $\nu_e$CC PC channel. The 53-78th bins/rows/columns correspond to the $\nu_\mu$CC FC channel. The 79-104th bins/rows/columns correspond to the $\nu_\mu$CC PC channel. The 105-115th bins/rows/columns correspond to the CC$\pi^0$ FC channel. The 116-126th bins/rows/columns correspond to the CC$\pi^0$ PC channel. The 127-137th bins/rows/columns correspond to the NC$\pi^0$ channel.
description: Data release for the first results from MicroBooNE's inclusive $\nu_e$CC search using Wire-Cell reconstruction, corresponding to information from arXiv:2110.13978. Attached is a python script which shows an example of how to use this data release to plot the unconstrained and constrained $\nu_e$CC FC data and predictions. Version 2 adds $\nu_\mu$CC energy resolution matrices, and fixes a small issue in the previous version in which the bins in the $\nu_e$CC energy resolution matrices were shifted by 50 MeV.
DOI: 10.17182/hepdata.114862.v2/t30
title: "7 channel Covariance Matrix, LEE(x=1.4)" of "Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction"

description: 7 channel covariance matrix showing correlations between bins due to flux uncertainties, cross-section uncertainties, hadron reinteraction uncertainties, detector systematic uncertainties, Monte-Carlo statistical uncertainties, and dirt (outside cryostat) uncertainties. For the data statistical uncertainty covariance matrix, (only diagonal elements, not included here), the Neyman, Pearson, or combined Neyman and Pearson (CNP) techniques can be used. This corresponds to LEE(x=1.4). No constraints have been applied at this stage. The 1-26th bins/rows/columns correspond to the $\nu_e$CC FC channel. The 27-52nd bins/rows/columns correspond to the $\nu_e$CC PC channel. The 53-78th bins/rows/columns correspond to the $\nu_\mu$CC FC channel. The 79-104th bins/rows/columns correspond to the $\nu_\mu$CC PC channel. The 105-115th bins/rows/columns correspond to the CC$\pi^0$ FC channel. The 116-126th bins/rows/columns correspond to the CC$\pi^0$ PC channel. The 127-137th bins/rows/columns correspond to the NC$\pi^0$ channel.
description: Data release for the first results from MicroBooNE's inclusive $\nu_e$CC search using Wire-Cell reconstruction, corresponding to information from arXiv:2110.13978. Attached is a python script which shows an example of how to use this data release to plot the unconstrained and constrained $\nu_e$CC FC data and predictions. Version 2 adds $\nu_\mu$CC energy resolution matrices, and fixes a small issue in the previous version in which the bins in the $\nu_e$CC energy resolution matrices were shifted by 50 MeV.
DOI: 10.15156/bio/sh1376578.10fu
title: SH1376578.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1376583.10fu
title: SH1376583.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1376588.10fu
title: SH1376588.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.