cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/40344c82a2d00f34ef8cf0c40b5291f8
title: Forest Inventory for Tree Demography and Carbohydrate Reserves at Harvard Forest 2009-2011

description: The objective of this study is to establish a network of forest plots spanning the eastern U.S. focused on understanding how regional scale climate patterns affect patterns of tree demography (e.g. growth, mortality, dieback). Within each research site we also aim to understand the landscape-scale variability in demographic rates and how these rates are affected by edaphic variables by aligning plots along primary environmental gradients (elevation, soils, hydrology, fire return interval). The demographic data obtained will also be compared to regional and landscape-scale patterns in carbon reserves in adults and sapling by sampling root and stem concentrations of nonstructural carbohydrates (TNC) and relate these to demographic patterns, life-history traits, and plant C:N ratios.
 Besides addressing important ecological questions directly, this study is designed to improve the representations of vegetation dynamics and carbohydrate reserves in regional and landscape-scale forest ecosystem models--two of the least data-constrained processes in such models--by parameterizing and validating the modules for these processes in the Ecosystem Demography model (ED v2.1).
 This data set contains two years of census data for eight mapped plots distributed across Harvard Forest along the aforementioned primary environmental gradients.
DOI: 10.26138/sxs:bbh:0470v1.2
title: Binary black-hole simulation SXS:BBH:0470
DOI: 10.26138/sxs:bbh:0470v1.3
title: Binary black-hole simulation SXS:BBH:0470
DOI: 10.26138/sxs:bbh:0470v1.4
title: Binary black-hole simulation SXS:BBH:0470
DOI: 10.26138/sxs:bbh:0470v1.5
title: Binary black-hole simulation SXS:BBH:0470
DOI: 10.26138/sxs:bbh:0471v1.2
title: Binary black-hole simulation SXS:BBH:0471
DOI: 10.26138/sxs:bbh:0471v1.3
title: Binary black-hole simulation SXS:BBH:0471
DOI: 10.26138/sxs:bbh:0471v1.4
title: Binary black-hole simulation SXS:BBH:0471
DOI: 10.26138/sxs:bbh:0471v1.5
title: Binary black-hole simulation SXS:BBH:0471
DOI: 10.26138/sxs:bbh:0472v1.2
title: Binary black-hole simulation SXS:BBH:0472
DOI: 10.26138/sxs:bbh:0472v1.3
title: Binary black-hole simulation SXS:BBH:0472
DOI: 10.26138/sxs:bbh:0472v1.4
title: Binary black-hole simulation SXS:BBH:0472
DOI: 10.26138/sxs:bbh:0472v1.5
title: Binary black-hole simulation SXS:BBH:0472
DOI: 10.26138/sxs:bbh:0473v1.2
title: Binary black-hole simulation SXS:BBH:0473
DOI: 10.26138/sxs:bbh:0473v1.3
title: Binary black-hole simulation SXS:BBH:0473
DOI: 10.26138/sxs:bbh:0473v1.4
title: Binary black-hole simulation SXS:BBH:0473
DOI: 10.26138/sxs:bbh:0473v1.5
title: Binary black-hole simulation SXS:BBH:0473
DOI: 10.26138/sxs:bbh:0474v1.2
title: Binary black-hole simulation SXS:BBH:0474
DOI: 10.26138/sxs:bbh:0474v1.3
title: Binary black-hole simulation SXS:BBH:0474
DOI: 10.26138/sxs:bbh:0474v1.4
title: Binary black-hole simulation SXS:BBH:0474
DOI: 10.26138/sxs:bbh:0474v1.5
title: Binary black-hole simulation SXS:BBH:0474
DOI: 10.26138/sxs:bbh:0475v1.2
title: Binary black-hole simulation SXS:BBH:0475
DOI: 10.26138/sxs:bbh:0475v1.3
title: Binary black-hole simulation SXS:BBH:0475
DOI: 10.26138/sxs:bbh:0475v1.4
title: Binary black-hole simulation SXS:BBH:0475
DOI: 10.26138/sxs:bbh:0475v1.5
title: Binary black-hole simulation SXS:BBH:0475
DOI: 10.26138/sxs:bbh:0476v1.2
title: Binary black-hole simulation SXS:BBH:0476
DOI: 10.26138/sxs:bbh:0476v1.3
title: Binary black-hole simulation SXS:BBH:0476
DOI: 10.26138/sxs:bbh:0476v1.4
title: Binary black-hole simulation SXS:BBH:0476
DOI: 10.26138/sxs:bbh:0476v1.5
title: Binary black-hole simulation SXS:BBH:0476
DOI: 10.26138/sxs:bbh:0477v1.2
title: Binary black-hole simulation SXS:BBH:0477
DOI: 10.26138/sxs:bbh:0477v1.3
title: Binary black-hole simulation SXS:BBH:0477
DOI: 10.26138/sxs:bbh:0477v1.4
title: Binary black-hole simulation SXS:BBH:0477
DOI: 10.26138/sxs:bbh:0477v1.5
title: Binary black-hole simulation SXS:BBH:0477
DOI: 10.26138/sxs:bbh:0478v1.2
title: Binary black-hole simulation SXS:BBH:0478
DOI: 10.26138/sxs:bbh:0478v1.3
title: Binary black-hole simulation SXS:BBH:0478
DOI: 10.26138/sxs:bbh:0478v1.4
title: Binary black-hole simulation SXS:BBH:0478
DOI: 10.26138/sxs:bbh:0478v1.5
title: Binary black-hole simulation SXS:BBH:0478
DOI: 10.26138/sxs:bbh:0479v1.2
title: Binary black-hole simulation SXS:BBH:0479
DOI: 10.26138/sxs:bbh:0479v1.3
title: Binary black-hole simulation SXS:BBH:0479
DOI: 10.26138/sxs:bbh:0479v1.4
title: Binary black-hole simulation SXS:BBH:0479
DOI: 10.26138/sxs:bbh:0479v1.5
title: Binary black-hole simulation SXS:BBH:0479
DOI: 10.26138/sxs:bbh:0480v1.2
title: Binary black-hole simulation SXS:BBH:0480
DOI: 10.26138/sxs:bbh:0480v1.3
title: Binary black-hole simulation SXS:BBH:0480
DOI: 10.26138/sxs:bbh:0480v1.4
title: Binary black-hole simulation SXS:BBH:0480
DOI: 10.26138/sxs:bbh:0480v1.5
title: Binary black-hole simulation SXS:BBH:0480
DOI: 10.26138/sxs:bbh:0481v1.2
title: Binary black-hole simulation SXS:BBH:0481
DOI: 10.26138/sxs:bbh:0481v1.3
title: Binary black-hole simulation SXS:BBH:0481
DOI: 10.17630/c0262859-1d55-4463-9e4f-883859a7ac8f
title: Organic light-emitting diodes based on a columnar liquid-crystalline perylene emitter (dataset)

description: Liquid crystalline materials possessgreat potential as emitters inorganic light-emitting diodes (OLEDs) due to their self-assembling property,which may lead to anisotropic films and improved charge transport. Here, weinvestigate key photophysical properties of the columnar liquid crystallineemitter perylene-3,4,9,10-tetracarboxylic tetraethyl ester (PTCTE) and implementthe material into OLEDs. We find that vacuum-deposited PTCTE films exhibitpreferential horizontal orientation of the transition dipole moment. Embeddingthe emitter into different host materials leads to increased photoluminescencequantum yield but reduces molecular orientation compared to the neat film.OLEDs containing PTCTE doped into an exciplex-forming co-host achieve very highluminance exceeding 10,000 cd m-2 at 5.7 V, which isamongst the best performance of OLEDs based on columnar liquid crystallineemitters reported so far.
DOI: 10.26138/sxs:bbh:0481v1.4
title: Binary black-hole simulation SXS:BBH:0481
DOI: 10.26138/sxs:bbh:0481v1.5
title: Binary black-hole simulation SXS:BBH:0481
DOI: 10.26138/sxs:bbh:0482v1.2
title: Binary black-hole simulation SXS:BBH:0482
DOI: 10.26138/sxs:bbh:0482v1.3
title: Binary black-hole simulation SXS:BBH:0482
DOI: 10.26138/sxs:bbh:0482v1.4
title: Binary black-hole simulation SXS:BBH:0482
DOI: 10.26138/sxs:bbh:0482v1.5
title: Binary black-hole simulation SXS:BBH:0482
DOI: 10.26138/sxs:bbh:0483v1.2
title: Binary black-hole simulation SXS:BBH:0483
DOI: 10.26138/sxs:bbh:0483v1.3
title: Binary black-hole simulation SXS:BBH:0483
DOI: 10.26138/sxs:bbh:0483v1.4
title: Binary black-hole simulation SXS:BBH:0483
DOI: 10.26138/sxs:bbh:0483v1.5
title: Binary black-hole simulation SXS:BBH:0483
DOI: 10.26138/sxs:bbh:0484v1.2
title: Binary black-hole simulation SXS:BBH:0484
DOI: 10.26138/sxs:bbh:0484v1.3
title: Binary black-hole simulation SXS:BBH:0484
DOI: 10.26138/sxs:bbh:0484v1.4
title: Binary black-hole simulation SXS:BBH:0484
DOI: 10.26138/sxs:bbh:0484v1.5
title: Binary black-hole simulation SXS:BBH:0484
DOI: 10.26138/sxs:bbh:0485v1.2
title: Binary black-hole simulation SXS:BBH:0485
DOI: 10.26138/sxs:bbh:0485v1.3
title: Binary black-hole simulation SXS:BBH:0485
DOI: 10.26138/sxs:bbh:0485v1.4
title: Binary black-hole simulation SXS:BBH:0485
DOI: 10.26138/sxs:bbh:0485v1.5
title: Binary black-hole simulation SXS:BBH:0485
DOI: 10.26138/sxs:bbh:0486v1.2
title: Binary black-hole simulation SXS:BBH:0486
DOI: 10.26138/sxs:bbh:0486v1.3
title: Binary black-hole simulation SXS:BBH:0486
DOI: 10.26138/sxs:bbh:0486v1.4
title: Binary black-hole simulation SXS:BBH:0486
DOI: 10.26138/sxs:bbh:0486v1.5
title: Binary black-hole simulation SXS:BBH:0486
DOI: 10.26138/sxs:bbh:0487v1.2
title: Binary black-hole simulation SXS:BBH:0487
DOI: 10.26138/sxs:bbh:0487v1.3
title: Binary black-hole simulation SXS:BBH:0487
DOI: 10.26138/sxs:bbh:0487v1.4
title: Binary black-hole simulation SXS:BBH:0487
DOI: 10.26138/sxs:bbh:0487v1.5
title: Binary black-hole simulation SXS:BBH:0487
DOI: 10.26138/sxs:bbh:0488v1.2
title: Binary black-hole simulation SXS:BBH:0488
DOI: 10.26138/sxs:bbh:0488v1.3
title: Binary black-hole simulation SXS:BBH:0488
DOI: 10.26138/sxs:bbh:0488v1.4
title: Binary black-hole simulation SXS:BBH:0488
DOI: 10.26138/sxs:bbh:0488v1.5
title: Binary black-hole simulation SXS:BBH:0488
DOI: 10.26138/sxs:bbh:0489v1.2
title: Binary black-hole simulation SXS:BBH:0489
DOI: 10.26138/sxs:bbh:0489v1.3
title: Binary black-hole simulation SXS:BBH:0489
DOI: 10.26138/sxs:bbh:0489v1.4
title: Binary black-hole simulation SXS:BBH:0489
DOI: 10.26138/sxs:bbh:0489v1.5
title: Binary black-hole simulation SXS:BBH:0489
DOI: 10.6073/pasta/b535566978c98d5471072efeb7c1211d
title: Fluxes of Carbonyl Sulfide at Harvard Forest EMS Tower 2010-2013

description: Carbonyl sulfide (OCS), the most abundant sulfur compound in the atmosphere, controls the
 sulfur budget and aerosol loading of the stratosphere in times of low volcanic activity. OCS is
 also closely tied to the vegetative carbon cycle and may provide an independent measure of the
 photosynthetic uptake of carbon. However, the detailed nature of the biogeochemical cycling of
 OCS throughout the seasons in terrestrial ecosystems has not been thoroughly explored. We
 measured the seasonal response of the ecosystem flux of OCS above a deciduous temperate forest
 using an infrared laser absorption spectrometer at Harvard Forest (MA, USA) in 2011. Fluxes
 were calculated using two complementary approaches: gradient – flux (also known as flux –
 gradient; January – July, 2011) and eddy covariance flux (August – December, 2011), which
 agreed within the combined error for a period with both measurements. Strong uptake of OCS by
 the forest was observed during most of the growing season, but significant uptake also occurred
 when the deciduous leaves were not present. A strong diel cycle of mid-day OCS uptake was
 observed in May/June and August/September, consistent with OCS uptake by processes parallel to
 CO2 photosynthetic uptake, at the ecosystem scale, for these months. The results show that
 while overall OCS and CO2 both show evidence of vegetative uptake, the OCS flux cannot be
 explained by this process alone and the relationship between OCS and CO2 changes throughout the
 year above this mixed deciduous forest. The data imply that terrestrial uptake of OCS, and
 hence the stratospheric sulfur cycle, are potentially quite sensitive to extremes in
 temperature and soil moisture.
DOI: 10.26138/sxs:bbh:0490v1.2
title: Binary black-hole simulation SXS:BBH:0490
DOI: 10.26138/sxs:bbh:0490v1.3
title: Binary black-hole simulation SXS:BBH:0490
DOI: 10.26138/sxs:bbh:0490v1.4
title: Binary black-hole simulation SXS:BBH:0490
DOI: 10.26138/sxs:bbh:0490v1.5
title: Binary black-hole simulation SXS:BBH:0490
DOI: 10.26138/sxs:bbh:0491v1.2
title: Binary black-hole simulation SXS:BBH:0491
DOI: 10.26138/sxs:bbh:0491v1.3
title: Binary black-hole simulation SXS:BBH:0491
DOI: 10.26138/sxs:bbh:0491v1.4
title: Binary black-hole simulation SXS:BBH:0491
DOI: 10.26138/sxs:bbh:0491v1.5
title: Binary black-hole simulation SXS:BBH:0491
DOI: 10.26138/sxs:bbh:0492v1.2
title: Binary black-hole simulation SXS:BBH:0492
DOI: 10.26138/sxs:bbh:0492v1.3
title: Binary black-hole simulation SXS:BBH:0492
DOI: 10.26138/sxs:bbh:0492v1.4
title: Binary black-hole simulation SXS:BBH:0492
DOI: 10.26138/sxs:bbh:0492v1.5
title: Binary black-hole simulation SXS:BBH:0492
DOI: 10.26138/sxs:bbh:0493v1.2
title: Binary black-hole simulation SXS:BBH:0493
DOI: 10.26138/sxs:bbh:0493v1.3
title: Binary black-hole simulation SXS:BBH:0493
DOI: 10.17630/e8a98e0e-a6f3-4117-87c7-b1df1607dc81
title: Electronically driven spin-reorientation transition of the correlated polar metal Ca3Ru2O7 (dataset)
DOI: 10.26138/sxs:bbh:0493v1.4
title: Binary black-hole simulation SXS:BBH:0493
DOI: 10.26138/sxs:bbh:0493v1.5
title: Binary black-hole simulation SXS:BBH:0493
DOI: 10.5281/zenodo.10279041
title: Maize Phosphorus Leaf Deficiency (MPLD) Database | Compact Scientific Camera (original-processed)

description: This database presents samples of maize leaves placed on a withe background, representing three levels of phosphorus deficiency: complete absence of the nutrient (labeled -P), half dose of the required phosphorus for normal plant development (-P50), and complete supply (C).
Its composed of two folders:

Original_dataset: 722 jpg images of 1280 x 1020 pixels size divided into '_C', '-P' and '-P50' folders for class labels.
Processed_dataset: 2433 png images of 224 x 224 pixels size divided into '-C', '-P' and '-P50' folders for class labels.
description: Data collection
Image acquisition was done by searching a diversity of conditions, although the plants were grown in laboratory conditions. In this way, photographs included the growth stages of seedling, jointing, and flowering. The images were acquired inside a plastic shed, involving natural illumination, and five consecutive images were taken by plant. 
Acquisition device was a compact scientific camera (ThorLabs DCC1645C-HQ).
Image preprocessing and augmentation
The original images underwent a preprocessing stage in terms of cropping and resizing by two methods done simultaneously: 

Cut to central square: Image cropped to a central square.
Cuadrant division: Square image divided into four equal parts.
All cropped images were resized to 224x224 pixels size.
As cuadrant division method can generate sub-images with black content or a minimum portion of the leaf, and these images can confuse the algorithm, a suffix is added to the images cosidered as empty on the Processed_dataset. 
description: Composition of Processed_dataset folder
Each image has a filename as 'S<xx>-T-<class>-<yy><_n>
Were

<xx> goes from 05 to 10 and represents the week of maize growth at the time image was collected.
<class> could be C, P or P50
<yy> is a unique id for each image and
<n> Could be present or not, indicating the number of the cuadrant obtained from the Cuadrant Division process, and goes from 0 to 3
In addition, some images have the suffix '_EMPTY' which leads to a blank image or one that does not have enough leaf content.
For each image taken from a single leaf, there are 5 processed images in this folder.
DOI: 10.5281/zenodo.10279042
title: Maize Phosphorus Leaf Deficiency (MPLD) Database | Compact Scientific Camera (original-processed)

description: This database presents samples of maize leaves placed on a withe background, representing three levels of phosphorus deficiency: complete absence of the nutrient (labeled -P), half dose of the required phosphorus for normal plant development (-P50), and complete supply (C).
Its composed of two folders:

Original_dataset: 722 jpg images of 1280 x 1020 pixels size divided into '_C', '-P' and '-P50' folders for class labels.
Processed_dataset: 2433 png images of 224 x 224 pixels size divided into '-C', '-P' and '-P50' folders for class labels.
description: Data collection
Image acquisition was done by searching a diversity of conditions, although the plants were grown in laboratory conditions. In this way, photographs included the growth stages of seedling, jointing, and flowering. The images were acquired inside a plastic shed, involving natural illumination, and five consecutive images were taken by plant. 
Acquisition device was a compact scientific camera (ThorLabs DCC1645C-HQ).
Image preprocessing and augmentation
The original images underwent a preprocessing stage in terms of cropping and resizing by two methods done simultaneously: 

Cut to central square: Image cropped to a central square.
Cuadrant division: Square image divided into four equal parts.
All cropped images were resized to 224x224 pixels size.
As cuadrant division method can generate sub-images with black content or a minimum portion of the leaf, and these images can confuse the algorithm, a suffix is added to the images cosidered as empty on the Processed_dataset. 
description: Composition of Processed_dataset folder
Each image has a filename as 'S<xx>-T-<class>-<yy><_n>
Were

<xx> goes from 05 to 10 and represents the week of maize growth at the time image was collected.
<class> could be C, P or P50
<yy> is a unique id for each image and
<n> Could be present or not, indicating the number of the cuadrant obtained from the Cuadrant Division process, and goes from 0 to 3
In addition, some images have the suffix '_EMPTY' which leads to a blank image or one that does not have enough leaf content.
For each image taken from a single leaf, there are 5 processed images in this folder.
DOI: 10.26138/sxs:bbh:0494v1.2
title: Binary black-hole simulation SXS:BBH:0494
DOI: 10.26138/sxs:bbh:0494v1.3
title: Binary black-hole simulation SXS:BBH:0494
DOI: 10.26138/sxs:bbh:0494v1.4
title: Binary black-hole simulation SXS:BBH:0494
DOI: 10.26138/sxs:bbh:0494v1.5
title: Binary black-hole simulation SXS:BBH:0494
DOI: 10.26138/sxs:bbh:0495v1.2
title: Binary black-hole simulation SXS:BBH:0495
DOI: 10.26138/sxs:bbh:0495v1.3
title: Binary black-hole simulation SXS:BBH:0495
DOI: 10.26138/sxs:bbh:0495v1.4
title: Binary black-hole simulation SXS:BBH:0495
DOI: 10.26138/sxs:bbh:0495v1.5
title: Binary black-hole simulation SXS:BBH:0495
DOI: 10.26138/sxs:bbh:0496v1.2
title: Binary black-hole simulation SXS:BBH:0496
DOI: 10.26138/sxs:bbh:0496v1.3
title: Binary black-hole simulation SXS:BBH:0496
DOI: 10.26138/sxs:bbh:0496v1.4
title: Binary black-hole simulation SXS:BBH:0496
DOI: 10.26138/sxs:bbh:0496v1.5
title: Binary black-hole simulation SXS:BBH:0496
DOI: 10.26138/sxs:bbh:0497v1.2
title: Binary black-hole simulation SXS:BBH:0497
DOI: 10.26138/sxs:bbh:0497v1.3
title: Binary black-hole simulation SXS:BBH:0497
DOI: 10.26138/sxs:bbh:0497v1.4
title: Binary black-hole simulation SXS:BBH:0497
DOI: 10.26138/sxs:bbh:0497v1.5
title: Binary black-hole simulation SXS:BBH:0497
DOI: 10.26138/sxs:bbh:0498v1.2
title: Binary black-hole simulation SXS:BBH:0498
DOI: 10.26138/sxs:bbh:0498v1.3
title: Binary black-hole simulation SXS:BBH:0498
DOI: 10.26138/sxs:bbh:0498v1.4
title: Binary black-hole simulation SXS:BBH:0498
DOI: 10.26138/sxs:bbh:0498v1.5
title: Binary black-hole simulation SXS:BBH:0498
DOI: 10.26138/sxs:bbh:0499v1.2
title: Binary black-hole simulation SXS:BBH:0499
DOI: 10.26138/sxs:bbh:0499v1.3
title: Binary black-hole simulation SXS:BBH:0499
DOI: 10.26138/sxs:bbh:0499v1.4
title: Binary black-hole simulation SXS:BBH:0499
DOI: 10.26138/sxs:bbh:0499v1.5
title: Binary black-hole simulation SXS:BBH:0499
DOI: 10.26138/sxs:bbh:0500v1.2
title: Binary black-hole simulation SXS:BBH:0500
DOI: 10.26138/sxs:bbh:0500v1.3
title: Binary black-hole simulation SXS:BBH:0500
DOI: 10.26138/sxs:bbh:0500v1.4
title: Binary black-hole simulation SXS:BBH:0500
DOI: 10.26138/sxs:bbh:0500v1.5
title: Binary black-hole simulation SXS:BBH:0500
DOI: 10.26138/sxs:bbh:0501v1.2
title: Binary black-hole simulation SXS:BBH:0501
DOI: 10.26138/sxs:bbh:0501v1.3
title: Binary black-hole simulation SXS:BBH:0501
DOI: 10.6084/m9.figshare.24764796
title: Supplementary Material_MetS.docx

description: This is a supplementary material.
DOI: 10.6084/m9.figshare.24764796.v1
title: Supplementary Material_MetS.docx

description: This is a supplementary material.
DOI: 10.26138/sxs:bbh:0501v1.4
title: Binary black-hole simulation SXS:BBH:0501
DOI: 10.26138/sxs:bbh:0501v1.5
title: Binary black-hole simulation SXS:BBH:0501
DOI: 10.26138/sxs:bbh:0502v1.2
title: Binary black-hole simulation SXS:BBH:0502
DOI: 10.26138/sxs:bbh:0502v1.3
title: Binary black-hole simulation SXS:BBH:0502
DOI: 10.26138/sxs:bbh:0502v1.4
title: Binary black-hole simulation SXS:BBH:0502
DOI: 10.26138/sxs:bbh:0502v1.5
title: Binary black-hole simulation SXS:BBH:0502
DOI: 10.26138/sxs:bbh:0503v1.2
title: Binary black-hole simulation SXS:BBH:0503
DOI: 10.26138/sxs:bbh:0503v1.3
title: Binary black-hole simulation SXS:BBH:0503
DOI: 10.26138/sxs:bbh:0503v1.4
title: Binary black-hole simulation SXS:BBH:0503
DOI: 10.26138/sxs:bbh:0503v1.5
title: Binary black-hole simulation SXS:BBH:0503
DOI: 10.26138/sxs:bbh:0504v1.2
title: Binary black-hole simulation SXS:BBH:0504
DOI: 10.26138/sxs:bbh:0504v1.3
title: Binary black-hole simulation SXS:BBH:0504
DOI: 10.26138/sxs:bbh:0504v1.4
title: Binary black-hole simulation SXS:BBH:0504
DOI: 10.26138/sxs:bbh:0504v1.5
title: Binary black-hole simulation SXS:BBH:0504
DOI: 10.26138/sxs:bbh:0505v1.2
title: Binary black-hole simulation SXS:BBH:0505
DOI: 10.26138/sxs:bbh:0505v1.3
title: Binary black-hole simulation SXS:BBH:0505
DOI: 10.26138/sxs:bbh:0505v1.4
title: Binary black-hole simulation SXS:BBH:0505
DOI: 10.26138/sxs:bbh:0505v1.5
title: Binary black-hole simulation SXS:BBH:0505
DOI: 10.26138/sxs:bbh:0506v1.2
title: Binary black-hole simulation SXS:BBH:0506
DOI: 10.26138/sxs:bbh:0506v1.3
title: Binary black-hole simulation SXS:BBH:0506
DOI: 10.26138/sxs:bbh:0506v1.4
title: Binary black-hole simulation SXS:BBH:0506
DOI: 10.26138/sxs:bbh:0506v1.5
title: Binary black-hole simulation SXS:BBH:0506
DOI: 10.26138/sxs:bbh:0507v1.2
title: Binary black-hole simulation SXS:BBH:0507
DOI: 10.26138/sxs:bbh:0507v1.3
title: Binary black-hole simulation SXS:BBH:0507
DOI: 10.26138/sxs:bbh:0507v1.4
title: Binary black-hole simulation SXS:BBH:0507
DOI: 10.26138/sxs:bbh:0507v1.5
title: Binary black-hole simulation SXS:BBH:0507
DOI: 10.26138/sxs:bbh:0508v1.2
title: Binary black-hole simulation SXS:BBH:0508
DOI: 10.26138/sxs:bbh:0508v1.3
title: Binary black-hole simulation SXS:BBH:0508
DOI: 10.26138/sxs:bbh:0508v1.4
title: Binary black-hole simulation SXS:BBH:0508
DOI: 10.26138/sxs:bbh:0508v1.5
title: Binary black-hole simulation SXS:BBH:0508
DOI: 10.26138/sxs:bbh:0509v1.2
title: Binary black-hole simulation SXS:BBH:0509
DOI: 10.26138/sxs:bbh:0509v1.3
title: Binary black-hole simulation SXS:BBH:0509
DOI: 10.26138/sxs:bbh:0509v1.4
title: Binary black-hole simulation SXS:BBH:0509
DOI: 10.26138/sxs:bbh:0509v1.5
title: Binary black-hole simulation SXS:BBH:0509
DOI: 10.26138/sxs:bbh:0510v1.2
title: Binary black-hole simulation SXS:BBH:0510
DOI: 10.17630/1b8cace6-ad7c-4452-b3ab-35f5d42ad409
title: Isothiourea-catalyzed functionalization of pyrrolyl- and indolylacetic acid: enantioselective synthesis of dihydropyridinones and one-pot synthesis of pyridinones (dataset)
DOI: 10.26138/sxs:bbh:0510v1.3
title: Binary black-hole simulation SXS:BBH:0510
DOI: 10.26138/sxs:bbh:0510v1.4
title: Binary black-hole simulation SXS:BBH:0510
DOI: 10.26138/sxs:bbh:0510v1.5
title: Binary black-hole simulation SXS:BBH:0510
DOI: 10.26138/sxs:bbh:0511v1.2
title: Binary black-hole simulation SXS:BBH:0511
DOI: 10.26138/sxs:bbh:0511v1.3
title: Binary black-hole simulation SXS:BBH:0511
DOI: 10.26138/sxs:bbh:0511v1.4
title: Binary black-hole simulation SXS:BBH:0511
DOI: 10.26138/sxs:bbh:0511v1.5
title: Binary black-hole simulation SXS:BBH:0511
DOI: 10.26138/sxs:bbh:0512v1.2
title: Binary black-hole simulation SXS:BBH:0512
DOI: 10.26138/sxs:bbh:0512v1.3
title: Binary black-hole simulation SXS:BBH:0512
DOI: 10.26138/sxs:bbh:0512v1.4
title: Binary black-hole simulation SXS:BBH:0512
DOI: 10.26138/sxs:bbh:0512v1.5
title: Binary black-hole simulation SXS:BBH:0512
DOI: 10.26138/sxs:bbh:0513v1.2
title: Binary black-hole simulation SXS:BBH:0513
DOI: 10.26138/sxs:bbh:0513v1.3
title: Binary black-hole simulation SXS:BBH:0513
DOI: 10.26138/sxs:bbh:0513v1.4
title: Binary black-hole simulation SXS:BBH:0513
DOI: 10.26138/sxs:bbh:0513v1.5
title: Binary black-hole simulation SXS:BBH:0513
DOI: 10.26138/sxs:bbh:0514v1.2
title: Binary black-hole simulation SXS:BBH:0514
DOI: 10.26138/sxs:bbh:0514v1.3
title: Binary black-hole simulation SXS:BBH:0514
DOI: 10.26138/sxs:bbh:0514v1.4
title: Binary black-hole simulation SXS:BBH:0514
DOI: 10.26138/sxs:bbh:0514v1.5
title: Binary black-hole simulation SXS:BBH:0514
DOI: 10.26138/sxs:bbh:0515v1.2
title: Binary black-hole simulation SXS:BBH:0515
DOI: 10.26138/sxs:bbh:0515v1.3
title: Binary black-hole simulation SXS:BBH:0515
DOI: 10.26138/sxs:bbh:0515v1.4
title: Binary black-hole simulation SXS:BBH:0515