cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1184657
title: Seasonal Carbonate Chemistry Variability In Marine Surface Waters Of The Pacific Northwest. Data Archive.

description: This archive includes two .nc files (NetCDF format) containing observational data (discrete and mooring) from marine surface waters of the Pacific Northwest that have not yet been submitted to a long-term data repository. These data contributed to the development of seasonal cycle data products described in the manuscript by Fassbender et al. A metadata file is provided for the discrete data subset (upper 10 m of discrete observational data); however, the complete cruise datasets and metadata will be submitted for archival in the National Centers for Environmental Information’s (NCEI) Ocean Carbon and Acidification Data repository (https://www.nodc.noaa.gov/oceanacidification/). Data subsets are provided here for accelerated public access. Data users are encouraged to download the complete datasets from NCEI once they are available (https://www.nodc.noaa.gov/oceanacidification/stewardship/data_portal.html). Metadata for the University of Washington Oceanic Remote Chemical/Optical Analyzer (ORCA) mooring observations used by Fassbender et al., including the temperature and salinity data from the Dabob Bay and Twanoh moorings, are not provided here. Quality control protocols applied to the ORCA mooring data are outlined in the Quality Assurance Project Plan (http://nwem.ocean.washington.edu/ORCA_QAPP.pdf; Newton and Devol, 2012).
description: {"references": ["Fassbender et al., submitted to Earth System Science Data."]}
DOI: 10.15139/s3/chbxoo
title: Replication Data for: Ethnicity and nationality among Ethiopians in Canada's census data: a consideration of overlapping and divergent identities
DOI: 10.6073/pasta/940ed6659060d249a7a275f0fc1233bd
title: SBC LTER: Beach: Time-series of beach wrack cover and biomass, ongoing since 2008

description: These data decribe the composition, cover, depth, and wet biomass of
  macrophyte wrack accumulated in the intertidal zone measured on five
  selected sandy beaches of the mainland coast of the Santa Barbara
  Channel. Data collection began in 2008 and this dataset is updated
  annually.
DOI: 10.6073/pasta/a3fbf8fc61fbe0603789a60f8ad7ac91
title: Monthly monitoring fluorescence data for Shark River Slough and Taylor Slough, Everglades National Park (FCE) for October 2004 to February 2014

description: Dissolved organic matter plays an important role in biogeochemical processes in aquatic environments such as elemental cycling, microbial loop energetics, and the transport of materials across landscapes.  Since most of N (&gt; 90%) and P (around 90%) is in the organic form in the oligotrophic subtropical Florida Coastal Everglades (FCE), study of the source and dynamics of dissolved organic matter (DOM) in the ecosystem is crucial for the better understanding of the biogeochemical cycling of nutrients.  FCE are composed of estuaries with distinct regions with different biogeochemical processes. Freshwater marsh primarily receives terrestrial input and local autochthonous vegetation production. Mangrove ecotone, nevertheless, is affected by the tidal contributions from Florida Bay and local mangrove production. Florida Bay (FB) is a wedge-shaped shallow oligotrophic estuary which lays south of the Everglades, the bottom of which is covered with a dense biomass of seagrass.  The sources of both freshwater and nutrients in FCE are difficult to quantify, owing to the non-point source nature of runoff from the Everglades and the dendritic cross channels in the mangroves.  Furthermore, the combination of multiple DOM sources (freshwater marsh vegetation, mangroves, phytoplankton, seagrass, etc.), and the potential seasonal variability of their relative contribution, along with the history of (photo)chemical and microbial diagenetic processing, and complex advective circulation, makes the study of DOM dynamics in FCE particularly difficult using standard schemes of estuarine ecology.  Quantitative information of DOM is very useful to investigate the biogeochemical cycling of DOM to a certain degree, however, qualitative information is necessary to better understand the source and dynamics of DOM.  Since fluorescence spectroscopic techniques are very sensitive, quick and simple, they have been applied to investigate the fate of DOM in estuaries.
DOI: 10.5285/663383d8-6461-7959-e053-6c86abc0f17a
title: Quantification of effect of bioturbating macrofauna on the abundance of genes and transcripts associated with nitrogen cycling in Shelf Sea Biogeochemistry.

description: This data set contains incubations with sediment cores to assess the effect of bioturbating macrofauna on the abundance of genes and transcripts associated with nitrogen cycling. The data were collected between 01-April-2015 to 28-August-2015 over 3 cruises on board the RRS Discovery (DY021, DY030, and DY034) in the Celtic Sea. The authors do not have any concerns over the quality of the data set and values are consistent with similar data reported in the wider literature. Replicate sediment cores (n = 5) of size 20 cm by 20 cm and depth 12 cm were collected from NIOZ cores taken at 4 sites (Muddy, site A; Sandy Mud, site G; Muddy Sand, site H; and Sand, site I). These sediment cores were transferred to clear perspex mesocosms and luminophores, coloured sand which fluoresces under ultra-violet light, were added to guide the selection of undisturbed and bioturbated sediment samples for RNA and DNA molecular analysis. The data were collected as part of the Shelf Sea Biogeochemistry (SSB) research programme as part of Module 3, Task 3.1.1 of the Biogeochemistry, Macronutrient and Carbon Cycling in the benthic layer (BMCC) research programme. SSB was co-funded by the Natural Environment Research Council (NERC) and the Department for Environment, Food and Rural Affairs (Defra). The programme took a holistic approach to the cycling of nutrients and carbon and the controls on primary and secondary production in UK and European shelf seas, to increase understanding of these processes and their role in wider biogeochemical cycles. The British Oceanographic Data Centre (BODC) created the metadata entry and is responsible for holding master copies of the data.
DOI: 10.5517/ccdc.csd.cc1knbsb
title: CCDC 1449522: Experimental Crystal Structure Determination

description: Related Article: Ke Wen, Zhengxing Wu, Banruo Huang, Zheng Ling, Ilya D. Gridnev, Wanbin Zhang|2018|Org.Lett.|20|1608|doi:10.1021/acs.orglett.8b00352
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1knbtc
title: CCDC 1449523: Experimental Crystal Structure Determination

description: Related Article: Ke Wen, Zhengxing Wu, Banruo Huang, Zheng Ling, Ilya D. Gridnev, Wanbin Zhang|2018|Org.Lett.|20|1608|doi:10.1021/acs.orglett.8b00352
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1knbvd
title: CCDC 1449524: Experimental Crystal Structure Determination

description: Related Article: Ke Wen, Zhengxing Wu, Banruo Huang, Zheng Ling, Ilya D. Gridnev, Wanbin Zhang|2018|Org.Lett.|20|1608|doi:10.1021/acs.orglett.8b00352
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1knbyh
title: CCDC 1449527: Experimental Crystal Structure Determination

description: Related Article: Ke Wen, Zhengxing Wu, Banruo Huang, Zheng Ling, Ilya D. Gridnev, Wanbin Zhang|2018|Org.Lett.|20|1608|doi:10.1021/acs.orglett.8b00352
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1kpmjd
title: CCDC 1450754: Experimental Crystal Structure Determination

description: Related Article: Ke Wen, Zhengxing Wu, Banruo Huang, Zheng Ling, Ilya D. Gridnev, Wanbin Zhang|2018|Org.Lett.|20|1608|doi:10.1021/acs.orglett.8b00352
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1pyyn7
title: CCDC 1577920: Experimental Crystal Structure Determination

description: Related Article: Albert-Manga Badiane, Stéphane Freslon, Carole Daiguebonne, Yan Suffren, Kevin Bernot, Guillaume Calvez, Karine Costuas, Magatte Camara, Olivier Guillou|2018|Inorg.Chem.|57|3399|doi:10.1021/acs.inorgchem.8b00169
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1pyyp8
title: CCDC 1577921: Experimental Crystal Structure Determination

description: Related Article: Albert-Manga Badiane, Stéphane Freslon, Carole Daiguebonne, Yan Suffren, Kevin Bernot, Guillaume Calvez, Karine Costuas, Magatte Camara, Olivier Guillou|2018|Inorg.Chem.|57|3399|doi:10.1021/acs.inorgchem.8b00169
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1z0r2t
title: CCDC 1817966: Experimental Crystal Structure Determination

description: Related Article: Xiaoyu Chen, James Theodore Merrett, Philip Wai Hong Chan|2018|Org.Lett.|20|1542|doi:10.1021/acs.orglett.8b00267
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc7psj6
title: CCDC 229478: Experimental Crystal Structure Determination

description: Related Article: Albert-Manga Badiane, Stéphane Freslon, Carole Daiguebonne, Yan Suffren, Kevin Bernot, Guillaume Calvez, Karine Costuas, Magatte Camara, Olivier Guillou|2018|Inorg.Chem.|57|3399|doi:10.1021/acs.inorgchem.8b00169
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/9w8qmo
title: Review of the mandibularis group of the genus Dolichomitus (Hymenoptera, Ichneumonidae, Pimplinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Matsumoto, Rikio (2018): Review of the mandibularis group of the genus Dolichomitus (Hymenoptera, Ichneumonidae, Pimplinae). Journal of Hymenoptera Research 62: 73-82, DOI: http://dx.doi.org/10.3897/jhr.62.23559, URL: http://dx.doi.org/10.3897/jhr.62.23559
DOI: 10.5281/zenodo.1182486
title: Dataset of Axon Segmentation and Centerlines, Acquired using a Two-photon Microscope in the Live Mouse Cortex

description: This dataset contains 20 images of real axons that were published previously in Bass et al (2017). This subset dataset has been added labels of binary images for segmentation of the axons, and of centerline for tracing of the axons.

We provide the following:


	Images-MAX: 2D images of axons (.png)
	Images-TIFF: 3D images of axons (.tiff)
	Labels-binary: Manual segmentation of the axons as binary images (.png)
	Labels-tracing: Manual tracing of the axons (.swc)


This data was collected in the live mouse cortex, using a two-photon microscope, with a 40x objective, at zoom 4, and with a resolution of 512 × 512 pixels, 0.147 <em>μ</em>m per pixel for the <em>x</em>, <em>y</em> planes, and 1 <em>μ</em>m for the <em>z</em> plane. . 

<strong>Please cite the following papers when using this dataset:</strong>

T. Dai, M. Dubois, K. Arulkumaran, J. Campbell, B. Billot, C. Bass, Z. Uslu, V. De Paola, C. Clopath, and A. A. Bharath. Deep reinforcement learning for subpixel neural tracking. <em>Medical Imaging with Deep Learning</em>. 2019.

Bass C, Helkkula P, De Paola V, Clopath C, Bharath AA. Detection of axonal synapses in 3D two-photon images. Giniger E, ed. <em>PLoS ONE</em>. 2017;12(9):e0183309. doi:10.1371/journal.pone.0183309.
description: {"references": ["Bass C, Helkkula P, De Paola V, Clopath C, Bharath AA. Detection of axonal synapses in 3D two-photon images. Giniger E, ed.\u00a0PLoS ONE. 2017;12(9):e0183309. doi:10.1371/journal.pone.0183309."]}
DOI: 10.5281/zenodo.1182487
title: Dataset of Axon Segmentation and Centerlines, Acquired using a Two-photon Microscope in the Live Mouse Cortex

description: This dataset contains 20 images of real axons that were published previously in Bass et al (2017). This subset dataset has been added labels of binary images for segmentation of the axons, and of centerline for tracing of the axons.

We provide the following:


	Images-MAX: 2D images of axons (.png)
	Images-TIFF: 3D images of axons (.tiff)
	Labels-binary: Manual segmentation of the axons as binary images (.png)
	Labels-tracing: Manual tracing of the axons (.swc)


This data was collected in the live mouse cortex, using a two-photon microscope, with a 40x objective, at zoom 4, and with a resolution of 512 × 512 pixels, 0.147 <em>μ</em>m per pixel for the <em>x</em>, <em>y</em> planes, and 1 <em>μ</em>m for the <em>z</em> plane. . 

<strong>Please cite the following papers when using this dataset:</strong>

T. Dai, M. Dubois, K. Arulkumaran, J. Campbell, B. Billot, C. Bass, Z. Uslu, V. De Paola, C. Clopath, and A. A. Bharath. Deep reinforcement learning for subpixel neural tracking. <em>Medical Imaging with Deep Learning</em>. 2019.

Bass C, Helkkula P, De Paola V, Clopath C, Bharath AA. Detection of axonal synapses in 3D two-photon images. Giniger E, ed. <em>PLoS ONE</em>. 2017;12(9):e0183309. doi:10.1371/journal.pone.0183309.
description: {"references": ["Bass C, Helkkula P, De Paola V, Clopath C, Bharath AA. Detection of axonal synapses in 3D two-photon images. Giniger E, ed.\u00a0PLoS ONE. 2017;12(9):e0183309. doi:10.1371/journal.pone.0183309."]}
DOI: 10.5281/zenodo.1185410
title: Photos And Photoscan Projects For Hansbreen Subglacial Conduit

description: These are photos from DOI 10.7291/V9RN35SV but here organized into time and GCP folders and given synthetic geo-tagged coordinates (based on the GCPs) so that PhotoScan can use the geo-tags as hints to improve its processing. The archive also includes the PhotoScan projects.
description: See DOIs 10.7291/V9RN35SV and 10.1017/jog.2016.134
DOI: 10.5281/zenodo.1185411
title: Photos And Photoscan Projects For Hansbreen Subglacial Conduit

description: These are photos from DOI 10.7291/V9RN35SV but here organized into time and GCP folders and given synthetic geo-tagged coordinates (based on the GCPs) so that PhotoScan can use the geo-tags as hints to improve its processing. The archive also includes the PhotoScan projects.
description: See DOIs 10.7291/V9RN35SV and 10.1017/jog.2016.134
DOI: 10.17909/t93d5k
title: WASP-52b

description: Used for Bruno et al. (2018)
DOI: 10.17632/3w85zp3nzs.1
title: Acute-phase corticosterone response to stress among Dom and Sub mice

description: Serum corticosterone levels of Dom and Sub mice sacrificed immediately following 45 minutes of restraint (a) or 90 minutes following the Forced Swim test (FST, b) demonstrate similar effects of stress (a: F1,16 = 244.8, p&lt;0.001; b: F1,16 = 110.0, p&lt;0.001), without between-strain differences (a: F1,16 = 0.01, ns; b: F1,16 = 1.03, ns). Data are presented as mean ±SEM, with independent variables contributing to statistical significance by two-way ANOVA indicated as: (+)stress effect. Bonferroni post-hoc pairwise comparisons indicated as ***(p&lt;0.001); n=5.
DOI: 10.17632/bswsr3gpy2.14
title: 3.5d-DEMs optimization-Zagros Ranges (enlarged study area)

description: Multi-dimensional DEM [ALOS(average, median), SRTM, ASTER) ] of SE Zagros Ranges (enlarged study area) rows: 2499, columns: 2799
DOI: 10.17632/fbd9pd6hnx.9
title: 4d-DEM optimization - [Death Valley, CA]

description: ALOS, SRTM, ASTER and NED DEMS at 1 arc sec resolution for Death Valley California-Nevada Data files are in data2.zip while Run outputs in _rundata2.zip. Used only for 4-d testing of the SVR.DEM (GitHub) software since a) ALOS, SRTM, ASTER GDEM and b) NED DTM present different vertical datums !
DOI: 10.17632/k9zpyh8c9k.4
title: 2d-DEM optimization (ALOS, SRTM)-[Zagros Ranges, enlarged study area]

description: Multi-dimensional DEM [ALOS(median), SRTM) ] of SE Zagros Ranges (enlarged study area) rows: 2499, columns: 2799. Only 2 DEMs of DATA4 in order to compare SRTM DEM to ALOS median DEM.
DOI: 10.17632/z4nxdjdyys.3
title: 2d-DEM optimization (ALOS median & mean)-Zagros Ranges (enlarged study area)

description: The median & average ALOS 1 arc sec DEMs are compared. Aiming to stretch to it's limits the alternative method of the analysis of DEM difference images that in it's general version is not limited to only 2 DEMs but can handle 3 DEMs, 4 DEMs etc. etc. The study includes the Zagros Ranges enlarged region that is used in DATA4.
DOI: 10.6073/pasta/e49bd6bdbf3e2ddfbd09d503e3c8e609
title: LFDP phenology plot seedlings – 16 ha plot

description: These data on temporal and spatial patterns of seedling recruitment in conjunction with data on flower and seed rain production allow tests of hypotheses concerning causes of inter-annual variation and roles of different mechanisms in facilitating species coexistence. The data are being used to, among other things 1) quantify seasonal and inter-annual variation in reproductive output in tropical plant populations and communities; 2) analyze relationships between reproduction and a variety of hypothesized local and regional climate drivers; 3) evaluate evidence for long-term directional trends which could reflect responses to anthropogenic global change; 4) quantify spatiotemporal variation in seed arrival and seedling recruitment of individual species; 5) analyze associated evidence of recruitment limitation, life history trade-offs, density dependent recruitment and regeneration niche partitioning; and 6) evaluate how these processes interact with inter-annual variation in climate and plant reproduction.
DOI: 10.17632/b6kpnzv9d3.4
title: Homology modeling of an GPR18 receptor

description: This dataset enclose GPR18 homology models, along with ligands database, GalaxySite predicted binding site and selected docking studies result
DOI: 10.17632/bswsr3gpy2.13
title: 3.5d-DEMs optimization-Zagros Ranges (enlarged study area)

description: Multi-dimensional DEM [ALOS(average, median), SRTM, ASTER) ] of SE Zagros Ranges (enlarged study area) rows: 2499, columns: 2799
DOI: 10.17632/bz274vnjgm.1
title: Data: The Eurosceptic Vote and the Citizens’ Perception of the Loss of Economic Sovereignty

description: ·ESS2014 (.dta) - EES 2014 Voter Study reordened in the form of a stacked data matrix, with party-level variables included. ·Article (.do) - Stata codes.
DOI: 10.17632/kwhwx9s7tv.1
title: Glucocorticoid receptor (GR) immunoreactivity in basolateral amygdala (BLA), and hypothalamal paraventricular nucleus (PVN) of Dom and Sub mice, 24 hours following restraint stress

description: GR immunoreactivity in the BLA (a) and the PVN (b) was not found to be significantly different between strains (BLA: F1,66 = 0.84, ns; PVN: F1,66 = 0.03, ns), nor to be altered 24 hours following restraint (BLA: F2,66 = 2.05, ns; PVN: F2,66 = 2.93, ns). Data are presented as mean ±SEM, n=12 images from 3 mice.
DOI: 10.5517/ccdc.csd.cc1phw79
title: CCDC 1564391: Experimental Crystal Structure Determination

description: Related Article: S. Yousef Ebrahimipour, Mehrji Khosravan, Jesus Castro, Fatemeh Khajoee Nejad, Michal Dusek, Vaclav Eigner|2018|Polyhedron|146|73|doi:10.1016/j.poly.2018.02.013
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1pphkf
title: CCDC 1569795: Experimental Crystal Structure Determination

description: Related Article: Riccardo Suter, Paul A. Gray, Neil Burford, Robert McDonald|2018|Chem.-Eur.J.|24|4718|doi:10.1002/chem.201706107
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1psfjf
title: CCDC 1572615: Experimental Crystal Structure Determination

description: Related Article: Chi-Hang Chang, Chen-Yen Tsai, Wei-Jen Lin, Yu-Chia Su, Hui-Ju Chuang, Wan-Ling Liu, Chi-Tien Chen, Chih-Kuang Chen, Bao-Tsan Ko|2018|Polymer|141|1|doi:10.1016/j.polymer.2018.02.063
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1psfkg
title: CCDC 1572616: Experimental Crystal Structure Determination

description: Related Article: Chi-Hang Chang, Chen-Yen Tsai, Wei-Jen Lin, Yu-Chia Su, Hui-Ju Chuang, Wan-Ling Liu, Chi-Tien Chen, Chih-Kuang Chen, Bao-Tsan Ko|2018|Polymer|141|1|doi:10.1016/j.polymer.2018.02.063
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.18169/papdeott007002
title: Modifikation einer pflanzlichen Energiequelle
DOI: 10.5281/zenodo.1185251
title: 2018-02-20_Rna-Seq_Lesson

description: Files for the RNA-Seq lesson on February 20, 2018.