cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25625/pgnm3b/gfj00f
title: B11Data_leaves_201704_v3.tab

description: This is the data for one specific month: April 2017 Date_sample: Date of sample PlotID: ID of the plot TrapID: ID of the trap Responsible: Person responsible for the data Date_sort: Date of sorting Weight.all: Dry weight of all litter W.Sp.A.Leaf: Dry weight of the branches carrying leaves of species A (Parkia speciosa) W.Sp.A.Branch: Dry weight of the leaves of species A (Parkia speciosa) W.Sp.B: Dry weight of the leaves of species B (Archidendron pauciflorum) W.Sp.C: Dry weight of the leaves of species C (Durio zibethinus) W.Sp.D: Dry weight of the leaves of species D (Dyera polyphylla) W.Sp.E.Leaf: Dry weight of the leaves of species E (peronema canescens) W.Sp.E.Branch W.Sp.F: Dry weight of the leaves of species F (Shorea leprosula) W.Sawit: Dry weight of the leaves of oil palms W.Other: Dry weight of other type of leaf litter Remark: Comments about the samples (for example, if the seeds were sorted after or prior to leaf litter weighting)
DOI: 10.25625/pgnm3b/akrlol
title: B11Data_leaves_201801_v2.tab

description: This is the data for one specific month: January 2018 Date_sample: Date of sample PlotID: ID of the plot TrapID: ID of the trap Responsible: Person responsible for the data Date_sort: Date of sorting Weight.all: Dry weight of all litter W.Sp.A.Leaf: Dry weight of the branches carrying leaves of species A (Parkia speciosa) W.Sp.A.Branch: Dry weight of the leaves of species A (Parkia speciosa) W.Sp.B: Dry weight of the leaves of species B (Archidendron pauciflorum) W.Sp.C: Dry weight of the leaves of species C (Durio zibethinus) W.Sp.D: Dry weight of the leaves of species D (Dyera polyphylla) W.Sp.E.Leaf: Dry weight of the leaves of species E (peronema canescens) W.Sp.E.Branch W.Sp.F: Dry weight of the leaves of species F (Shorea leprosula) W.Sawit: Dry weight of the leaves of oil palms W.Other: Dry weight of other type of leaf litter Remark: Comments about the samples (for example, if the seeds were sorted after or prior to leaf litter weighting)
DOI: 10.25625/pgnm3b/klsn7o
title: B11Data_leaves_201706_v4.tab

description: This is the data for one specific month: June 2017 Date_sample: Date of sample PlotID: ID of the plot TrapID: ID of the trap Responsible: Person responsible for the data Date_sort: Date of sorting Weight.all: Dry weight of all litter W.Sp.A.Leaf: Dry weight of the branches carrying leaves of species A (Parkia speciosa) W.Sp.A.Branch: Dry weight of the leaves of species A (Parkia speciosa) W.Sp.B: Dry weight of the leaves of species B (Archidendron pauciflorum) W.Sp.C: Dry weight of the leaves of species C (Durio zibethinus) W.Sp.D: Dry weight of the leaves of species D (Dyera polyphylla) W.Sp.E.Leaf: Dry weight of the leaves of species E (peronema canescens) W.Sp.E.Branch W.Sp.F: Dry weight of the leaves of species F (Shorea leprosula) W.Sawit: Dry weight of the leaves of oil palms W.Other: Dry weight of other type of leaf litter Remark: Comments about the samples (for example, if the seeds were sorted after or prior to leaf litter weighting)
DOI: 10.25625/pgnm3b/mnfc0c
title: B11Data_leaves_201708_v2.tab

description: This is the data for one specific month: August 2017. Date_sample: Date of sample PlotID: ID of the plot TrapID: ID of the trap Responsible: Person responsible for the data Date_sort: Date of sorting Weight.all: Dry weight of all litter W.Sp.A.Leaf: Dry weight of the branches carrying leaves of species A (Parkia speciosa) W.Sp.A.Branch: Dry weight of the leaves of species A (Parkia speciosa) W.Sp.B: Dry weight of the leaves of species B (Archidendron pauciflorum) W.Sp.C: Dry weight of the leaves of species C (Durio zibethinus) W.Sp.D: Dry weight of the leaves of species D (Dyera polyphylla) W.Sp.E.Leaf: Dry weight of the leaves of species E (peronema canescens) W.Sp.E.Branch W.Sp.F: Dry weight of the leaves of species F (Shorea leprosula) W.Sawit: Dry weight of the leaves of oil palms W.Other: Dry weight of other type of leaf litter Remark: Comments about the samples (for example, if the seeds were sorted after or prior to leaf litter weighting)
DOI: 10.25625/pgnm3b/edbrao
title: B11Data_leaves_201710_v3.tab

description: This is the data for one specific month: october 2017 Date_sample: Date of sample PlotID: ID of the plot TrapID: ID of the trap Responsible: Person responsible for the data Date_sort: Date of sorting Weight.all: Dry weight of all litter W.Sp.A.Leaf: Dry weight of the branches carrying leaves of species A (Parkia speciosa) W.Sp.A.Branch: Dry weight of the leaves of species A (Parkia speciosa) W.Sp.B: Dry weight of the leaves of species B (Archidendron pauciflorum) W.Sp.C: Dry weight of the leaves of species C (Durio zibethinus) W.Sp.D: Dry weight of the leaves of species D (Dyera polyphylla) W.Sp.E.Leaf: Dry weight of the leaves of species E (peronema canescens) W.Sp.E.Branch W.Sp.F: Dry weight of the leaves of species F (Shorea leprosula) W.Sawit: Dry weight of the leaves of oil palms W.Other: Dry weight of other type of leaf litter Remark: Comments about the samples (for example, if the seeds were sorted after or prior to leaf litter weighting)
DOI: 10.25625/pgnm3b/9mh4n5
title: B11Data_leaves_201705_v3.csv

description: This is the data for one specific month: May 2017 Date_sample: Date of sample PlotID: ID of the plot TrapID: ID of the trap Responsible: Person responsible for the data Date_sort: Date of sorting Weight.all: Dry weight of all litter W.Sp.A.Leaf: Dry weight of the branches carrying leaves of species A (Parkia speciosa) W.Sp.A.Branch: Dry weight of the leaves of species A (Parkia speciosa) W.Sp.B: Dry weight of the leaves of species B (Archidendron pauciflorum) W.Sp.C: Dry weight of the leaves of species C (Durio zibethinus) W.Sp.D: Dry weight of the leaves of species D (Dyera polyphylla) W.Sp.E.Leaf: Dry weight of the leaves of species E (peronema canescens) W.Sp.E.Branch W.Sp.F: Dry weight of the leaves of species F (Shorea leprosula) W.Sawit: Dry weight of the leaves of oil palms W.Other: Dry weight of other type of leaf litter Remark: Comments about the samples (for example, if the seeds were sorted after or prior to leaf litter weighting)
DOI: 10.25625/pgnm3b/etum2c
title: B11Data_leaves_201707_v3.tab

description: This is the data for one specific month: July 2017 Date_sample: Date of sample PlotID: ID of the plot TrapID: ID of the trap Responsible: Person responsible for the data Date_sort: Date of sorting Weight.all: Dry weight of all litter W.Sp.A.Leaf: Dry weight of the branches carrying leaves of species A (Parkia speciosa) W.Sp.A.Branch: Dry weight of the leaves of species A (Parkia speciosa) W.Sp.B: Dry weight of the leaves of species B (Archidendron pauciflorum) W.Sp.C: Dry weight of the leaves of species C (Durio zibethinus) W.Sp.D: Dry weight of the leaves of species D (Dyera polyphylla) W.Sp.E.Leaf: Dry weight of the leaves of species E (peronema canescens) W.Sp.E.Branch W.Sp.F: Dry weight of the leaves of species F (Shorea leprosula) W.Sawit: Dry weight of the leaves of oil palms W.Other: Dry weight of other type of leaf litter Remark: Comments about the samples (for example, if the seeds were sorted after or prior to leaf litter weighting)
DOI: 10.25625/pgnm3b/pnptyq
title: B11Data_leaves_201711_v2.tab

description: This is the data for one specific month: November 2017 Date_sample: Date of sample PlotID: ID of the plot TrapID: ID of the trap Responsible: Person responsible for the data Date_sort: Date of sorting Weight.all: Dry weight of all litter W.Sp.A.Leaf: Dry weight of the branches carrying leaves of species A (Parkia speciosa) W.Sp.A.Branch: Dry weight of the leaves of species A (Parkia speciosa) W.Sp.B: Dry weight of the leaves of species B (Archidendron pauciflorum) W.Sp.C: Dry weight of the leaves of species C (Durio zibethinus) W.Sp.D: Dry weight of the leaves of species D (Dyera polyphylla) W.Sp.E.Leaf: Dry weight of the leaves of species E (peronema canescens) W.Sp.E.Branch W.Sp.F: Dry weight of the leaves of species F (Shorea leprosula) W.Sawit: Dry weight of the leaves of oil palms W.Other: Dry weight of other type of leaf litter Remark: Comments about the samples (for example, if the seeds were sorted after or prior to leaf litter weighting)
DOI: 10.25625/pgnm3b/5f8dbl
title: B11Data_leaves_201803_v2.tab

description: This is the data for one specific month: March 2018 Date_sample: Date of sample PlotID: ID of the plot TrapID: ID of the trap Responsible: Person responsible for the data Date_sort: Date of sorting Weight.all: Dry weight of all litter W.Sp.A.Leaf: Dry weight of the branches carrying leaves of species A (Parkia speciosa) W.Sp.A.Branch: Dry weight of the leaves of species A (Parkia speciosa) W.Sp.B: Dry weight of the leaves of species B (Archidendron pauciflorum) W.Sp.C: Dry weight of the leaves of species C (Durio zibethinus) W.Sp.D: Dry weight of the leaves of species D (Dyera polyphylla) W.Sp.E.Leaf: Dry weight of the leaves of species E (peronema canescens) W.Sp.E.Branch W.Sp.F: Dry weight of the leaves of species F (Shorea leprosula) W.Sawit: Dry weight of the leaves of oil palms W.Other: Dry weight of other type of leaf litter Remark: Comments about the samples (for example, if the seeds were sorted after or prior to leaf litter weighting)
DOI: 10.25625/pgnm3b/qgswgc
title: B11Data_leaves_201712_v2.tab

description: This is the data for one specific month: December 2017 Date_sample: Date of sample PlotID: ID of the plot TrapID: ID of the trap Responsible: Person responsible for the data Date_sort: Date of sorting Weight.all: Dry weight of all litter W.Sp.A.Leaf: Dry weight of the branches carrying leaves of species A (Parkia speciosa) W.Sp.A.Branch: Dry weight of the leaves of species A (Parkia speciosa) W.Sp.B: Dry weight of the leaves of species B (Archidendron pauciflorum) W.Sp.C: Dry weight of the leaves of species C (Durio zibethinus) W.Sp.D: Dry weight of the leaves of species D (Dyera polyphylla) W.Sp.E.Leaf: Dry weight of the leaves of species E (peronema canescens) W.Sp.E.Branch W.Sp.F: Dry weight of the leaves of species F (Shorea leprosula) W.Sawit: Dry weight of the leaves of oil palms W.Other: Dry weight of other type of leaf litter Remark: Comments about the samples (for example, if the seeds were sorted after or prior to leaf litter weighting)
DOI: 10.25625/pgnm3b/kfjkxx
title: B11Data_leaves_201703_v2.tab

description: This is the data for one specific month: March 2017 Date_sample: Date of sample PlotID: ID of the plot TrapID: ID of the trap Responsible: Person responsible for the data Date_sort: Date of sorting Weight.all: Dry weight of all litter W.Sp.A.Leaf: Dry weight of the branches carrying leaves of species A (Parkia speciosa) W.Sp.A.Branch: Dry weight of the leaves of species A (Parkia speciosa) W.Sp.B: Dry weight of the leaves of species B (Archidendron pauciflorum) W.Sp.C: Dry weight of the leaves of species C (Durio zibethinus) W.Sp.D: Dry weight of the leaves of species D (Dyera polyphylla) W.Sp.E.Leaf: Dry weight of the leaves of species E (peronema canescens) W.Sp.E.Branch W.Sp.F: Dry weight of the leaves of species F (Shorea leprosula) W.Sawit: Dry weight of the leaves of oil palms W.Other: Dry weight of other type of leaf litter Remark: Comments about the samples (for example, if the seeds were sorted after or prior to leaf litter weighting)
DOI: 10.25625/pgnm3b/h4hr9k
title: B11Data_leaves_201802_v2.tab

description: This is the data for one specific month: February 2018 Date_sample: Date of sample PlotID: ID of the plot TrapID: ID of the trap Responsible: Person responsible for the data Date_sort: Date of sorting Weight.all: Dry weight of all litter W.Sp.A.Leaf: Dry weight of the branches carrying leaves of species A (Parkia speciosa) W.Sp.A.Branch: Dry weight of the leaves of species A (Parkia speciosa) W.Sp.B: Dry weight of the leaves of species B (Archidendron pauciflorum) W.Sp.C: Dry weight of the leaves of species C (Durio zibethinus) W.Sp.D: Dry weight of the leaves of species D (Dyera polyphylla) W.Sp.E.Leaf: Dry weight of the leaves of species E (peronema canescens) W.Sp.E.Branch W.Sp.F: Dry weight of the leaves of species F (Shorea leprosula) W.Sawit: Dry weight of the leaves of oil palms W.Other: Dry weight of other type of leaf litter Remark: Comments about the samples (for example, if the seeds were sorted after or prior to leaf litter weighting)
DOI: 10.25625/pgnm3b/t64hzm
title: read_leaf_litter.R

description: Code to read and process the leaf litter input data and to create the file "litter_B11_2017_2018.v6.csv"
DOI: 10.25625/pgnm3b/j5czud
title: read me.txt

description: This is a text file that list all the relevant notes and changes that have been made on the raw data.
DOI: 10.25625/pgnm3b
title: EFForTS-BEE (B11) Litter input

description: Leaf litter biomass input in the 56 study plots of EFForTS-BEE collected during Phase 2. Contains the data and the code to process it. The data is available at monthly and yearly basis, sorted per tree species and for the total, per trap and per plot.
DOI: 10.25574/05829
title: Chandra X-ray Observatory ObsId 5829

description: The History of AGN Activity in M87 and the Interaction of Nuclear Outbursts with the Surrounding Atmosphere
DOI: 10.5281/zenodo.7011529
title: 4 image cytochrome dataset with per-shot spectra recorded on the Jungfrau 16M detector at SwissFEL in NeXus format

description: Cytochrome data recorded in 2019 on the Jungfrau 16M detector recorded at SwissFEL including per-shot spectra measure each SASE pulse. First a NeXus master file was created using scripts in cctbx.xfel: libtbx.python `libtbx.find_in_repositories xfel`/swissfel/jf16m_cxigeom2nexus.py unassembled_file=run_000795.JF07T32V01.h5 geom_file=16M_bernina_backview_optimized_adu_quads.geom wavelength=1.3038 detector_distance=163.9 output_file=./run_000795.JF07T32V01_master_spectrum.h5 beam_file=run_000795.BSREAD.h5 include_spectra=True Then it was sliced down to 4 images that successfully index using the attached script, sliceit.py The file can be processed by DIALS using this command: dials.stills_process run_000795.JF07T32V01_master_spectrum_4img.h5 indexing.phil Where the indexing phil refers to the attached mask and refined geometry file, both produced by DIALS.
description: {"references": ["Bernstein HJ et. al (2020). \"Gold Standard for macromolecular crystallography diffraction data.\" IUCrJ 7, 784-792."]}
DOI: 10.5281/zenodo.7011530
title: 4 image cytochrome dataset with per-shot spectra recorded on the Jungfrau 16M detector at SwissFEL in NeXus format

description: Cytochrome data recorded in 2019 on the Jungfrau 16M detector recorded at SwissFEL including per-shot spectra measure each SASE pulse. First a NeXus master file was created using scripts in cctbx.xfel: libtbx.python `libtbx.find_in_repositories xfel`/swissfel/jf16m_cxigeom2nexus.py unassembled_file=run_000795.JF07T32V01.h5 geom_file=16M_bernina_backview_optimized_adu_quads.geom wavelength=1.3038 detector_distance=163.9 output_file=./run_000795.JF07T32V01_master_spectrum.h5 beam_file=run_000795.BSREAD.h5 include_spectra=True Then it was sliced down to 4 images that successfully index using the attached script, sliceit.py The file can be processed by DIALS using this command: dials.stills_process run_000795.JF07T32V01_master_spectrum_4img.h5 indexing.phil Where the indexing phil refers to the attached mask and refined geometry file, both produced by DIALS.
description: {"references": ["Bernstein HJ et. al (2020). \"Gold Standard for macromolecular crystallography diffraction data.\" IUCrJ 7, 784-792."]}
DOI: 10.25574/05839
title: Chandra X-ray Observatory ObsId 5839

description: Continuing X-Raying the Intergalactic Medium with Blazars in Outburst: Deeper in Redshift and Wider in Area.
DOI: 10.25574/05888
title: Chandra X-ray Observatory ObsId 5888

description: Measuring X-ray Absorption Fine Structures of Interstellar Grains
DOI: 10.25574/05933
title: Chandra X-ray Observatory ObsId 5933

description: Chandra HETG View of an ULX Associated with an SNR in Holmberg II
DOI: 10.25574/05956
title: Chandra X-ray Observatory ObsId 5956

description: AO6 Calibration Observations of Capella
DOI: 10.25574/05957
title: Chandra X-ray Observatory ObsId 5957

description: AO6 Calibration Observations of HZ43
DOI: 10.25574/05958
title: Chandra X-ray Observatory ObsId 5958

description: AO6 Calibration Observations of HZ43
DOI: 10.25574/05959
title: Chandra X-ray Observatory ObsId 5959

description: AO6 Calibration Observations of HZ43
DOI: 10.25574/05960
title: Chandra X-ray Observatory ObsId 5960

description: AO6 Calibration Observations of HZ43
DOI: 10.25574/05966
title: Chandra X-ray Observatory ObsId 5966

description: AO6 Measurements of the optical/UV Transmission of the HRC and ACIS Filters.
DOI: 10.25574/05967
title: Chandra X-ray Observatory ObsId 5967

description: AO6 Measurements of the optical/UV Transmission of the HRC and ACIS Filters.
DOI: 10.25574/05968
title: Chandra X-ray Observatory ObsId 5968

description: AO6 Measurements of the optical/UV Transmission of the HRC and ACIS Filters.
DOI: 10.25574/05969
title: Chandra X-ray Observatory ObsId 5969

description: AO6 Measurements of the optical/UV Transmission of the HRC and ACIS Filters.
DOI: 10.25574/05971
title: Chandra X-ray Observatory ObsId 5971

description: AO6 Measurements of the optical/UV Transmission of the HRC and ACIS Filters.
DOI: 10.25574/05972
title: Chandra X-ray Observatory ObsId 5972

description: AO6 Measurements of the optical/UV Transmission of the HRC and ACIS Filters.
DOI: 10.25574/05973
title: Chandra X-ray Observatory ObsId 5973

description: AO6 Measurements of the optical/UV Transmission of the HRC and ACIS Filters.
DOI: 10.25574/05974
title: Chandra X-ray Observatory ObsId 5974

description: AO6 Measurements of the optical/UV Transmission of the HRC and ACIS Filters.
DOI: 10.25574/05976
title: Chandra X-ray Observatory ObsId 5976

description: AO6 Measurements of the optical/UV Transmission of the HRC and ACIS Filters.
DOI: 10.25574/05977
title: Chandra X-ray Observatory ObsId 5977

description: AO6 Measurements of the optical/UV Transmission of the HRC and ACIS Filters.
DOI: 10.25574/05978
title: Chandra X-ray Observatory ObsId 5978

description: AO6 Measurements of the optical/UV Transmission of the HRC and ACIS Filters.
DOI: 10.23729/1d982b68-7b5f-430e-875e-8fa188d8bb92
title: FERMAID Part1

description: First batch of samples for the FERMAID project, collective preview entry found at https://doi.org/10.23729/c9377f8c-9978-48d2-8dec-1f0daf2b0eb0 . Preview dataset found at https://doi.org/10.23729/0f99ddd5-7aa1-4152-a085-6bdbc23a25a5 . To obtain data, please contact fairdata-pas@gtk.fi .
DOI: 10.11583/dtu.20555586.v1
title: Raw data used for: "Ignition and combustion study of premixed ammonia using GDI pilot injection in CI engine"

description: This is the data used for the results in the paper "<em>Ignition and combustion study of premixed ammonia using GDI pilot injection in CI engine</em>" (Førby et al, 2022, <em>Fuel</em>). <br> **<strong>NOTE:</strong> At the time of writing (23/8, 2022), the paper is peer-reviewed and accepted by the journal but not yet published. After publication, a DOI to the paper will be added. ** <br> <strong>Experiments: </strong> In the experiments, premixed ammonia was ignited using a pilot fuel in a CI-engine. The pilot fuel was injected with a GDI nozzle. Very small pilot fuel sprays were used succesfully to ignite the ammonia. <br> The data available here is the in-cylinder pressure pick-up traces -- collected with LabView-software -- and overviews of the corresponding test conditions. <br> The data can be loaded and used with Open-Source software freely available through e.g. Python. <br> <br> <strong>Please consult the ReadMe-file for using the data. </strong> <br> <br> For any questions or enquiries, please contact: nilfor@dtu.dk <br> <br>
DOI: 10.14278/rodare.1838
title: Data publication: Non-invasive assessment of locally overexpressed human adenosine 2A receptors in the heart of transgenic mice

description: PET data, mice; i.v. administration of [18F]FLUDA with and without pre-administration of istradefylline
DOI: 10.14278/rodare.1837
title: Data publication: Non-invasive assessment of locally overexpressed human adenosine 2A receptors in the heart of transgenic mice

description: PET data, mice; i.v. administration of [18F]FLUDA with and without pre-administration of istradefylline
DOI: 10.5281/zenodo.5746779
title: Enhanced ion escape rate during IMF rotation under weak intrinsic magnetic field conditions on a Mars-like planet

description: This dataset contains the simulation results used for figures in the paper "Enhanced ion escape rate during CME-like IMF rotation under weak intrinsic magnetic field conditions on a Mars-like planet" submitted to Journal of Geophysical Research: Space Physics. Detailed information about the dataset can be found in "README.txt".
DOI: 10.5281/zenodo.5746778
title: Enhanced ion escape rate during IMF rotation under weak intrinsic magnetic field conditions on a Mars-like planet

description: This dataset contains the simulation results used for figures in the paper "Enhanced ion escape rate during CME-like IMF rotation under weak intrinsic magnetic field conditions on a Mars-like planet" submitted to Journal of Geophysical Research: Space Physics. Detailed information about the dataset can be found in "README.txt".
DOI: 10.5281/zenodo.839674
title: Matching Construction Workers Across Views For Automated 3D Vision Tracking On-Site

description: Computer vision based tracking of construction resources is one of the several options available for obtaining trajectories useful in safety and productivity applications. This type of tracking requires that targets are accurately matched across multiple camera views to obtain a 3D trajectory out of two or more 2D trajectories. This matching is straightforward when it involves easily distinguishable targets in uncluttered scenes. This can be challenging in industrial scenes such as construction sites due to congestion, occlusions and workers in greatly similar high visibility apparel. This paper proposes a novel vision based method that addresses all these issues. It uses as input the output of a 2D vision based tracking method and searches for potential matches in three sequential steps. It terminates only when a positive match is found. The first step returns the strongest candidate by correlating a segment of workers’ past 2D trajectories. The second employs geometric restrictions, whilst the third correlates colour intensity values. The proposed method featured a promising performance of 97% precision, 98% recall and 95% accuracy.
DOI: 10.34740/kaggle/dsv/3821288
title: My Pokemon ranking
DOI: 10.5517/ccdc.csd.cc28fpbr
title: CCDC 2098524: Experimental Crystal Structure Determination

description: Related Article: Norbert Jux, Max M. Martin, Dominik Lungerich, Frank Hampel, Jens Langer, Tanya K. Ronson|2019|Chem.-Eur.J.|25|15083|doi:10.1002/chem.201903113
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.cc28fpcs
title: CCDC 2098525: Experimental Crystal Structure Determination

description: Related Article: Norbert Jux, Max M. Martin, Dominik Lungerich, Frank Hampel, Jens Langer, Tanya K. Ronson|2019|Chem.-Eur.J.|25|15083|doi:10.1002/chem.201903113
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: 10.14469/hpc/11015
title: The Houk–List transition states for organocatalytic mechanisms revisited. Table 2
DOI: 10.14469/hpc/11016
title: The Houk–List transition states for organocatalytic mechanisms revisited. Table 3