cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6789313
title: LPL5 - June 2022

description: Measurements of LPL5 (Tejeda) in June 2022 Gran Canaria Light Pollution Laboratorie info
DOI: 10.5281/zenodo.6789316
title: LPL7 - June 2022

description: Measurements of LPL7 (Archipielago Chinijo) in June 2022 Archipielago Chinijo Light Pollution Laboratorie info
DOI: 10.5281/zenodo.6789315
title: LPL7 - June 2022

description: Measurements of LPL7 (Archipielago Chinijo) in June 2022 Archipielago Chinijo Light Pollution Laboratorie info
DOI: 10.5281/zenodo.6789318
title: LPL8 - June 2022

description: Measurements of LPL8 (Timanfaya NP) in June 2022 Lanzarote Light Pollution Laboratorie info
DOI: 10.5281/zenodo.6789317
title: LPL8 - June 2022

description: Measurements of LPL8 (Timanfaya NP) in June 2022 Lanzarote Light Pollution Laboratorie info
DOI: 10.5281/zenodo.6789320
title: LPL15 - June 2022

description: Measurements of LPL15 (Badajoz) in June 2022 Provincia de Badajoz Light Pollution Laboratorie info
DOI: 10.5281/zenodo.6789319
title: LPL15 - June 2022

description: Measurements of LPL15 (Badajoz) in June 2022 Provincia de Badajoz Light Pollution Laboratorie info
DOI: 10.5281/zenodo.6789322
title: LPL16 - June 2022

description: Measurements of LPL16 (Caceres) in June 2022 Provincia de Cáceres Light Pollution Laboratorie info
DOI: 10.5281/zenodo.6789321
title: LPL16 - June 2022

description: Measurements of LPL16 (Caceres) in June 2022 Provincia de Cáceres Light Pollution Laboratorie info
DOI: 10.25919/g29f-pa49
title: Parkes pulsar observations with undefined project IDs for 2022APRS_06

description: Parkes pulsar observations with undefined project IDs for 2022APRS. This collection contains observations from project IDs PX084, PX085 and PX086.
DOI: 10.6084/m9.figshare.20217212
title: m3gnet phonon dispersion curve of 328 materials

description: This zip contains the phonon dispersion curves for the predicted dynamically stable materials.
DOI: 10.6084/m9.figshare.20211176.v1
title: Polyp-canal reconstruction reveals evolution towards complexity in corals (Dataset Part 7)

description: There are 17 files in this dataset. This is the seventh part of this dataset. The <em>A. millepora</em>, <em>A. muricata</em>,<em> C. vaughani</em>,<em> M. capricornis</em>, <em>M. foliosa</em>,<em> P. damicornis</em>, <em>P. meandrina</em>,<em> P. verrucosa</em>, and<em> S. pistillata</em> samples were collected from the Xisha Islands (2018); the <em>A. digitifera</em>, <em>F. speciosa </em>(2008), and<em> M. turgescens</em> (2017) samples were collected from the Nansha Islands; the <em>P. lutea</em> samples were collected from the Weizhou Islands (2017); the <em>G. fascicularis</em>, and<em> M. stellata </em>samples were collected from the Gaven Reef (2017); the <em>A. myriophthalma</em> samples were collected from the Reed Tablemount (2017); the <em>P. sinensis</em> samples were collected from the Subi Reef (2017). All samples, which occurred in large arborescent colonies forming thickets, were found in tropical shallow reefs of the marine neritic zone, from depths of about 5 to 10 m. The daily mean temperature was between 23.2 and 29.2°C. The coral samples were kept whole and housed in our laboratory coral tank, where all conditions were simulated to reflect those of their habitat in the South China Sea. These samples were kept in the tank for about one to three months before HRCT analysis.
DOI: 10.6084/m9.figshare.20211176
title: Polyp-canal reconstruction reveals evolution towards complexity in corals (Dataset Part 7)

description: There are 17 files in this dataset. This is the seventh part of this dataset. The <em>A. millepora</em>, <em>A. muricata</em>,<em> C. vaughani</em>,<em> M. capricornis</em>, <em>M. foliosa</em>,<em> P. damicornis</em>, <em>P. meandrina</em>,<em> P. verrucosa</em>, and<em> S. pistillata</em> samples were collected from the Xisha Islands (2018); the <em>A. digitifera</em>, <em>F. speciosa </em>(2008), and<em> M. turgescens</em> (2017) samples were collected from the Nansha Islands; the <em>P. lutea</em> samples were collected from the Weizhou Islands (2017); the <em>G. fascicularis</em>, and<em> M. stellata </em>samples were collected from the Gaven Reef (2017); the <em>A. myriophthalma</em> samples were collected from the Reed Tablemount (2017); the <em>P. sinensis</em> samples were collected from the Subi Reef (2017). All samples, which occurred in large arborescent colonies forming thickets, were found in tropical shallow reefs of the marine neritic zone, from depths of about 5 to 10 m. The daily mean temperature was between 23.2 and 29.2°C. The coral samples were kept whole and housed in our laboratory coral tank, where all conditions were simulated to reflect those of their habitat in the South China Sea. These samples were kept in the tank for about one to three months before HRCT analysis.
DOI: 10.6084/m9.figshare.20212580.v1
title: Polyp-canal reconstruction reveals evolution towards complexity in corals (Dataset Part 9)

description: There are 17 files in this dataset. This is the 9th part of this dataset. The <em>A. millepora</em>, <em>A. muricata</em>,<em> C. vaughani</em>,<em> M. capricornis</em>, <em>M. foliosa</em>,<em> P. damicornis</em>, <em>P. meandrina</em>,<em> P. verrucosa</em>, and<em> S. pistillata</em> samples were collected from the Xisha Islands (2018); the <em>A. digitifera</em>, <em>F. speciosa </em>(2008), and<em> M. turgescens</em> (2017) samples were collected from the Nansha Islands; the <em>P. lutea</em> samples were collected from the Weizhou Islands (2017); the <em>G. fascicularis</em>, and<em> M. stellata </em>samples were collected from the Gaven Reef (2017); the <em>A. myriophthalma</em> samples were collected from the Reed Tablemount (2017); the <em>P. sinensis</em> samples were collected from the Subi Reef (2017). All samples, which occurred in large arborescent colonies forming thickets, were found in tropical shallow reefs of the marine neritic zone, from depths of about 5 to 10 m. The daily mean temperature was between 23.2 and 29.2°C. The coral samples were kept whole and housed in our laboratory coral tank, where all conditions were simulated to reflect those of their habitat in the South China Sea. These samples were kept in the tank for about one to three months before HRCT analysis.
DOI: 10.6084/m9.figshare.20212580
title: Polyp-canal reconstruction reveals evolution towards complexity in corals (Dataset Part 9)

description: There are 17 files in this dataset. This is the 9th part of this dataset. The <em>A. millepora</em>, <em>A. muricata</em>,<em> C. vaughani</em>,<em> M. capricornis</em>, <em>M. foliosa</em>,<em> P. damicornis</em>, <em>P. meandrina</em>,<em> P. verrucosa</em>, and<em> S. pistillata</em> samples were collected from the Xisha Islands (2018); the <em>A. digitifera</em>, <em>F. speciosa </em>(2008), and<em> M. turgescens</em> (2017) samples were collected from the Nansha Islands; the <em>P. lutea</em> samples were collected from the Weizhou Islands (2017); the <em>G. fascicularis</em>, and<em> M. stellata </em>samples were collected from the Gaven Reef (2017); the <em>A. myriophthalma</em> samples were collected from the Reed Tablemount (2017); the <em>P. sinensis</em> samples were collected from the Subi Reef (2017). All samples, which occurred in large arborescent colonies forming thickets, were found in tropical shallow reefs of the marine neritic zone, from depths of about 5 to 10 m. The daily mean temperature was between 23.2 and 29.2°C. The coral samples were kept whole and housed in our laboratory coral tank, where all conditions were simulated to reflect those of their habitat in the South China Sea. These samples were kept in the tank for about one to three months before HRCT analysis.
DOI: 10.6084/m9.figshare.20212586
title: Polyp-canal reconstruction reveals evolution towards complexity in corals (Dataset Part 10)

description: There are 17 files in this dataset. This is the 10th part of this dataset. The <em>A. millepora</em>, <em>A. muricata</em>,<em> C. vaughani</em>,<em> M. capricornis</em>, <em>M. foliosa</em>,<em> P. damicornis</em>, <em>P. meandrina</em>,<em> P. verrucosa</em>, and<em> S. pistillata</em> samples were collected from the Xisha Islands (2018); the <em>A. digitifera</em>, <em>F. speciosa </em>(2008), and<em> M. turgescens</em> (2017) samples were collected from the Nansha Islands; the <em>P. lutea</em> samples were collected from the Weizhou Islands (2017); the <em>G. fascicularis</em>, and<em> M. stellata </em>samples were collected from the Gaven Reef (2017); the <em>A. myriophthalma</em> samples were collected from the Reed Tablemount (2017); the <em>P. sinensis</em> samples were collected from the Subi Reef (2017). All samples, which occurred in large arborescent colonies forming thickets, were found in tropical shallow reefs of the marine neritic zone, from depths of about 5 to 10 m. The daily mean temperature was between 23.2 and 29.2°C. The coral samples were kept whole and housed in our laboratory coral tank, where all conditions were simulated to reflect those of their habitat in the South China Sea. These samples were kept in the tank for about one to three months before HRCT analysis.
DOI: 10.6084/m9.figshare.20212586.v1
title: Polyp-canal reconstruction reveals evolution towards complexity in corals (Dataset Part 10)

description: There are 17 files in this dataset. This is the 10th part of this dataset. The <em>A. millepora</em>, <em>A. muricata</em>,<em> C. vaughani</em>,<em> M. capricornis</em>, <em>M. foliosa</em>,<em> P. damicornis</em>, <em>P. meandrina</em>,<em> P. verrucosa</em>, and<em> S. pistillata</em> samples were collected from the Xisha Islands (2018); the <em>A. digitifera</em>, <em>F. speciosa </em>(2008), and<em> M. turgescens</em> (2017) samples were collected from the Nansha Islands; the <em>P. lutea</em> samples were collected from the Weizhou Islands (2017); the <em>G. fascicularis</em>, and<em> M. stellata </em>samples were collected from the Gaven Reef (2017); the <em>A. myriophthalma</em> samples were collected from the Reed Tablemount (2017); the <em>P. sinensis</em> samples were collected from the Subi Reef (2017). All samples, which occurred in large arborescent colonies forming thickets, were found in tropical shallow reefs of the marine neritic zone, from depths of about 5 to 10 m. The daily mean temperature was between 23.2 and 29.2°C. The coral samples were kept whole and housed in our laboratory coral tank, where all conditions were simulated to reflect those of their habitat in the South China Sea. These samples were kept in the tank for about one to three months before HRCT analysis.
DOI: 10.25493/z43m-zs7
title: Point coordinate data showing spatial distribution of corticostriatal, corticothalamic, corticocollicular, and corticopontine projections in wild type mice

description: The data set comprises three-dimensional point coordinate data representing the spatial distribution of subcortical projections from 35 widespread locations in the cerebral cortex to the striatum, thalamus, superior colliculus, and pontine nuclei in wild-type mice. The point data are derived from public high-resolution images of anterogradely labeled axonal projections from different cerebro-cortical locations to four subcortical brain regions. Serial two-photon tomography images and derived segmented images series were programmatically downloaded via API from the Allen Brain Atlas Data Portal. The spatial registrations of the images with the Allen mouse brain atlas Common Coordinate Framework 3 were slightly adjusted to improve anatomical correspondence in regions of interest. The segmented images were binarized, and pixels representing tracer labelling within the caudate-putamen, thalamus, superior colliculus, and pontine nuclei were converted to 3-D point coordinates. The data points are suitable for co-visualization of different combinations of data sets, for comparison the topographic arrangement of visual corticostriatal, corticothalamic, corticocollicular, and corticopontine projections.
DOI: 10.25493/mcsj-ha7
title: Point coordinate data showing spatial distribution of corticostriatal, corticothalamic, corticocollicular, and corticopontine projections in transgenic mice

description: The data set comprises three-dimensional point coordinate data representing the spatial distribution of subcortical projections from 11 locations in the cerebral cortex to the striatum, thalamus, superior colliculus, and pontine nuclei in transgenic mice (Scnn1a-Tg3-Cre, Trib2-F2A-CreERT2, Rbp4-Cre_KL100, Sim1-Cre_KJ18 Tlx3-Cre_PL56). The point data are derived from public high-resolution images of anterogradely labeled axonal projections from different cerebro-cortical locations to four subcortical brain regions. Serial two-photon tomography images and derived segmented images series were programmatically downloaded via API from the Allen Brain Atlas Data Portal. The spatial registrations of the images with the Allen mouse brain atlas Common Coordinate Framework 3 were slightly adjusted to improve anatomical correspondence in regions of interest. The segmented images were binarized, and pixels representing tracer labelling within the caudate-putamen, thalamus, superior colliculus, and pontine nuclei were converted to 3-D point coordinates. The data points are suitable for co-visualization of different combinations of data sets, for comparison the topographic arrangement of visual corticostriatal, corticothalamic, corticocollicular, and corticopontine projections.
DOI: 10.25493/ewn9-aap
title: Ca2+/calmodulin-dependent protein kinase II tetracycline-transactivator expression: coronal sections (case 317.8)

description: Bright-field microscopy images of serial coronal brain sections showing Ca2+/calmodulin-dependent protein kinase II (Camk2a) promoter expression in a bigenic Camk2a-tetracycline-transactivator (tTA) mouse brain (case 317.8, adult female), using a driver-reporter construct in which the Camk2a-tTA promoter regulates the expression of the E. coli derived LacZ reporter gene encoding β-galactosidase, which is visualized histologically using X-gal (5-Bromo-4-chloro-3-indolyl β-d-galactopyranoside) as a substrate. Methodological details are provided in Odeh et al., Neuroimage 54:2603-11, 2011. Our data show that the Camk2a-tTA promoter is spatially expressed in multiple brain regions, including the cerebral cortex, several basal ganglia regions, hippocampus, tectum, and cerebellum.
DOI: 10.25493/7ehr-zc7
title: An optogenetic probe for the specific manipulation of newly potentiated dendritic spines

description: We created a pair of constructs aimed at expressing Channelrhodopsin (ChR) selectively at potentiated synapses. The constructs allow activity-dependent expression of the high-performance ChR isoform ChR-XXM in an activity-dependent fashion at dendritic spines. Moreover, the temporal window for the expression of ChR-XXM can be regulated via a tetON system. The constructs were validated using patch-clamp recordings and demonstrate the possibility to control neuronal firing by specifically acting on the subset of synapses recruited by structural plasticity. Once inserted in AAV vectors, these constructs will be distributed and reused by the scientific community for studies on the physiopathology of learning and memory.
DOI: 10.25493/yfzq-fs2
title: Comparative overview of brain-wide tetracycline-transactivator expression

description: Tabular overview (csv format) of brain-wide reporter expression mapped in five commonly used tetracycline-transactivator (tTA) driver lines: neuropsin (Nop); L7/Purkinje cell protein 2 (Pcp2); Pituitary homeobox 3 (Pitx3); cellular prion protein (Prnp), and Ca2+/calmodulin-dependent protein kinase IIa (Camk2a). This analysis is derived from microscopic brain images taken from 12 driver-reporter constructs (DOIs for source data sets are specified in data descriptor file listed below; hbp-00170\_Comparative\_DataDescriptor\_v1p1.txt) in which the different promoters regulate the expression of the E. coli derived LacZ reporter gene encoding β-galactosidase, visualized histologically using X-gal (5-Bromo-4-chloro-3-indolyl β-d-galactopyranoside) as a substrate. Labelling was observed in microscopic images that were spatially registered to the Allen Mouse Common Coordinate Framework (v2; mouse.brain-map.org). The density of labeling was assessed by two independent researchers using a semi-quantitative grading system from 0 – 4, introduced in Yetman et al., Brain Struct Funct 221:2231-49, 2016. Here grade 0 represents absence of labeled cells (less than 1 per 0.01 mm2), grade 1 - low density (few cells, possible to count), grade 2 - medium density (several cells that can be individually discerned, but not readily counted), grade 3 - high density (many labeled cells with large degree of overlap), and grade 4 - very high density (where individual cells cannot be discerned). For each promoter-tTA line one representative case was semi-quantitatively scored and results verified in the other cases. Scores did not vary more than 1 grade between cases or researchers in any regions. The highest numbers were reported. If the density of labeling was found to vary substantially within a region, the highest observed score was recorded.
DOI: 10.25493/r6xq-f72
title: E11.5 3D Edge-Aware Refined Atlas Derived from the Allen Developing Mouse Brain Atlas

description: 3D imaging necessitates corresponding 3D anatomical atlases, but generating such atlases is time consuming and challenging. Substantial efforts have generated such atlases including the Allen Developing Mouse Brain Atlas (ADMBA) but are typically limited by the process of serial 2D annotation for 3D reconstruction leading to artifacts. We have developed an automated, edge-aware atlas refinement method to curate existing atlases in a topologically consistent, 3D manner. Applying this approach to the E11.5 atlas in the ADMBA, we smoothed the labels in 3D and realigned labels to the underlying anatomical edges. We also rotated images in 3D and straightened a caudal kink in the spinal cord for midline symmetry, and we used the completed labels to strip regions outside of the central nervous system.
DOI: 10.25493/dx66-tks
title: E13.5 3D Edge-Aware Refined Atlas Derived from the Allen Developing Mouse Brain Atlas

description: 3D imaging necessitates corresponding 3D anatomical atlases, but generating such atlases is time consuming and challenging. Substantial efforts have generated such atlases including the Allen Developing Mouse Brain Atlas (ADMBA) but are typically limited by the process of serial 2D annotation for 3D reconstruction leading to artifacts. We have developed an automated, edge-aware atlas refinement method to curate existing atlases in a topologically consistent, 3D manner. Applying this approach to the E13.5 atlas in the ADMBA, we inferred labels for incompletely labeled areas, smoothed the labels in 3D, and realigned the labels to the underlying anatomical edges. As required, we also rotated images in 3D for midline symmetry and used the completed labels to strip regions outside of the central nervous system.
DOI: 10.25493/yfys-jse
title: E15.5 3D Edge-Aware Refined Atlas Derived from the Allen Developing Mouse Brain Atlas

description: 3D imaging necessitates corresponding 3D anatomical atlases, but generating such atlases is time consuming and challenging. Substantial efforts have generated such atlases including the Allen Developing Mouse Brain Atlas (ADMBA) but are typically limited by the process of serial 2D annotation for 3D reconstruction leading to artifacts. We have developed an automated, edge-aware atlas refinement method to curate existing atlases in a topologically consistent, 3D manner. Applying this approach to the E15.5 atlas in the ADMBA, we inferred labels for incompletely labeled areas, smoothed the labels in 3D, and realigned the labels to the underlying anatomical edges. As required, we also rotated images in 3D for midline symmetry and used the completed labels to strip regions outside of the central nervous system.
DOI: 10.25493/7098-7xq
title: E18.5 3D Edge-Aware Refined Atlas Derived from the Allen Developing Mouse Brain Atlas

description: 3D imaging necessitates corresponding 3D anatomical atlases, but generating such atlases is time consuming and challenging. Substantial efforts have generated such atlases including the Allen Developing Mouse Brain Atlas (ADMBA) but are typically limited by the process of serial 2D annotation for 3D reconstruction leading to artifacts. We have developed an automated, edge-aware atlas refinement method to curate existing atlases in a topologically consistent, 3D manner. Applying this approach to the E18.5 atlas in the ADMBA, we inferred labels for incompletely labeled areas, smoothed the labels in 3D, and realigned the labels to the underlying anatomical edges. As required, we also rotated images in 3D for midline symmetry and resized a stretch of compressed sagittal label planes.
DOI: 10.6084/m9.figshare.20212589
title: Polyp-canal reconstruction reveals evolution towards complexity in corals (Dataset Part 11)

description: There are 17 files in this dataset. This is the 11th part of this dataset. The <em>A. millepora</em>, <em>A. muricata</em>,<em> C. vaughani</em>,<em> M. capricornis</em>, <em>M. foliosa</em>,<em> P. damicornis</em>, <em>P. meandrina</em>,<em> P. verrucosa</em>, and<em> S. pistillata</em> samples were collected from the Xisha Islands (2018); the <em>A. digitifera</em>, <em>F. speciosa </em>(2008), and<em> M. turgescens</em> (2017) samples were collected from the Nansha Islands; the <em>P. lutea</em> samples were collected from the Weizhou Islands (2017); the <em>G. fascicularis</em>, and<em> M. stellata </em>samples were collected from the Gaven Reef (2017); the <em>A. myriophthalma</em> samples were collected from the Reed Tablemount (2017); the <em>P. sinensis</em> samples were collected from the Subi Reef (2017). All samples, which occurred in large arborescent colonies forming thickets, were found in tropical shallow reefs of the marine neritic zone, from depths of about 5 to 10 m. The daily mean temperature was between 23.2 and 29.2°C. The coral samples were kept whole and housed in our laboratory coral tank, where all conditions were simulated to reflect those of their habitat in the South China Sea. These samples were kept in the tank for about one to three months before HRCT analysis.
DOI: 10.25493/8qgh-4h7
title: P14 3D Edge-Aware Refined Atlas Derived from the Allen Developing Mouse Brain Atlas

description: 3D imaging necessitates corresponding 3D anatomical atlases, but generating such atlases is time consuming and challenging. Substantial efforts have generated such atlases including the Allen Developing Mouse Brain Atlas (ADMBA) but are typically limited by the process of serial 2D annotation for 3D reconstruction leading to artifacts. We have developed an automated, edge-aware atlas refinement method to curate existing atlases in a topologically consistent, 3D manner. Applying this approach to the P14 atlas in the ADMBA, we inferred labels for incompletely labeled areas, smoothed the labels in 3D, and realigned the labels to the underlying anatomical edges. As required, we also rotated images in 3D for midline symmetry.