cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25625/j1flm6/a9a2gh
title: 2022_1_23_1336_alignmentResult_2021_12_8_14_32_48_13920_7.67_755.2.mat

description: :unav
DOI: 10.25625/j1flm6/uqleut
title: C51H32O7.sfd

description: :unav
DOI: 10.25625/j1flm6/zhakz7
title: 2021_12_6_111_alignmentResult_2021_12_2_17_40_47_13914_9.11_755.18.fgt

description: :unav
DOI: 10.25625/j1flm6/qxjaei
title: 2021_12_6_113_alignmentResult_2021_12_2_17_40_47_13920_7.67_755.2.mat

description: :unav
DOI: 10.25625/j1flm6/yqsg4o
title: batchparam-2022_1_17_19_48_45.txt

description: :unav
DOI: 10.25625/j1flm6
title: MS-FINDER analyses

description: For import into MS-FINDER all files have to be located in one project folder. Retention times of flavonoids can be found in file names as exemplified: 6.78 as 6_78.
DOI: 10.15784/601519
title: Major, trace elements contents and radiogenic isotopes of erupted lavas Antarctic Peninsula and Phoenix Ridge
DOI: 10.17027/4a244ff3-bd55-4d99-9943-26e799cf56cb
title: SoilGrids250m 2.0 - Soil pH in H2O aggregated 5000m

description: Soil pH x 10 in H2O at 6 standard depths (to convert to pH values divide by 10). Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Poggio et al. 2021) for each 5000 m cell.
DOI: 10.17027/isric-soilgrids./191be9ad-1817-43cd-9c8e-f22b8ff64294
title: SoilGrids250m 2.0 - Soil organic carbon content aggregated 1000m

description: Soil organic carbon content (fine earth fraction) in dg/kg at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Poggio et al. 2021) for each 1000 m cell.
DOI: 10.25625/qoyftx/dwe1ii
title: 7_67_757.txt

description: :unav
DOI: 10.25625/qoyftx/htfqav
title: 7_93_303.txt

description: :unav
DOI: 10.25625/qoyftx/ewltiw
title: 8_70_815.txt

description: :unav
DOI: 10.25625/qoyftx/70lr3k
title: 7_93_771.txt

description: :unav
DOI: 10.25625/qoyftx/rin6kg
title: 7_46_755.txt

description: :unav
DOI: 10.17027/isric-soilgrids./35421259-e5f4-4411-8102-9cb67c74b9ef
title: SoilGrids250m 2.0 - Silt content aggregated 5000m

description: Silt content (2-50/63 micro meter) mass fraction in ‰ at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Poggio et al. 2021) for each 5000 m cell.
DOI: 10.25625/qoyftx/xifhrc
title: 7_93_773.txt

description: :unav
DOI: 10.25625/qoyftx/zgf5st
title: 8_04_755.txt

description: :unav
DOI: 10.25625/qoyftx/yrss06
title: 8_58_287.txt

description: :unav
DOI: 10.25625/qoyftx/wvrern
title: 7_35_755.txt

description: :unav
DOI: 10.25625/qoyftx/xmlcsk
title: 9_50_815.txt

description: :unav
DOI: 10.25625/qoyftx/pjn1qo
title: 9_11_755.txt

description: :unav
DOI: 10.25625/qoyftx/qz3a6y
title: 7_67_779.txt

description: :unav
DOI: 10.25625/qoyftx/1hhvip
title: 6_78_771.txt

description: :unav
DOI: 10.25625/qoyftx/vtfemu
title: 8_58_755.txt

description: :unav
DOI: 10.25625/qoyftx/hjnv40
title: 8_72_757.txt

description: :unav
DOI: 10.25625/qoyftx/g2np5g
title: 6_20_771.txt

description: :unav
DOI: 10.25625/qoyftx/psjzwr
title: 8_72_755.txt

description: :unav
DOI: 10.25625/qoyftx/x02was
title: 7_93_795.txt

description: :unav
DOI: 10.25625/qoyftx/bdneeh
title: 8_58_757.txt

description: :unav
DOI: 10.25625/qoyftx/1pyd6f
title: 7_93_1543.txt

description: :unav
DOI: 10.25625/qoyftx/rhs5in
title: 7_67_755.txt

description: :unav
DOI: 10.25625/qoyftx
title: MS/MS spectra in MassBank format

description: MassBank text file format
DOI: 10.25625/gfgkrn/cwwo1l
title: 8_58_757.msp

description: :unav
DOI: 10.25625/gfgkrn/dxkuoz
title: 7_93_771.msp

description: :unav
DOI: 10.25625/gfgkrn/7fp2p2
title: 8_72_755.msp

description: :unav
DOI: 10.25625/gfgkrn/lmlvuh
title: 7_46_755.msp

description: :unav
DOI: 10.25625/gfgkrn/da7rb0
title: 9_11_755.msp

description: :unav
DOI: 10.25625/gfgkrn/ngkcj8
title: 7_93_795.msp

description: :unav
DOI: 10.25625/gfgkrn/vkfwyi
title: 7_67_779.msp

description: :unav
DOI: 10.25625/gfgkrn/do9ikk
title: 8_72_757.msp

description: :unav
DOI: 10.25625/gfgkrn/0mkuws
title: 7_93_773.msp

description: :unav
DOI: 10.25625/gfgkrn/hhz39v
title: 6_20_771.msp

description: :unav
DOI: 10.25625/gfgkrn/v3pzcn
title: 8_58_287.msp

description: :unav
DOI: 10.25625/gfgkrn/k0gzwq
title: 8_58_755.msp

description: :unav
DOI: 10.25625/gfgkrn/n4dmr3
title: 7_35_755.msp

description: :unav
DOI: 10.25625/gfgkrn/y0x8pb
title: 7_67_755.msp

description: :unav
DOI: 10.25625/gfgkrn/ue6shv
title: 8_04_755.msp

description: :unav
DOI: 10.25625/gfgkrn/jb9hwx
title: 7_93_1543.msp

description: :unav
DOI: 10.25625/gfgkrn/7i0900
title: 7_67_757.msp

description: :unav
DOI: 10.25625/gfgkrn/rpf5it
title: 6_78_771.msp

description: :unav
DOI: 10.25625/gfgkrn/ywtbvn
title: 7_93_303.msp

description: :unav
DOI: 10.25625/gfgkrn/uh529c
title: 8_70_815.msp

description: :unav
DOI: 10.25625/gfgkrn/a3fojx
title: 9_50_815.msp

description: :unav
DOI: 10.25625/gfgkrn
title: MS/MS spectra in NIST format

description: NIST format as required for input in MS-FINDER
DOI: 10.3886/e112517v1-108560
title: Replication data for: What Do Emissions Markets Deliver and to Whom? Evidence from Southern California's NOx Trading Program

description: An advantage of cap-and-trade programs over more prescriptive environmental regulation is that compliance flexibility and cost effectiveness can make more stringent emissions reductions politically feasible. However, when markets (versus regulators) determine where emissions occur, it becomes more difficult to assure that mandated emissions reductions are equitably achieved. We investigate these issues in the context of Southern California's RECLAIM program by matching facilities in RECLAIM with similar California facilities also in nonattainment areas. Our results indicate that average emissions fell 20 percent at RECLAIM facilities relative to our counterfactual. Furthermore, observed changes in emissions do not vary significantly with neighborhood demographic characteristics. (JEL H23, L51, Q53, Q58)
DOI: 10.5281/zenodo.5997357
title: High-Efficiency Quantum Dot Lasers as Comb Sources for DWDM Applications

description: data used to generate the numbers and figures in the paper
DOI: 10.5281/zenodo.5997356
title: High-Efficiency Quantum Dot Lasers as Comb Sources for DWDM Applications

description: data used to generate the numbers and figures in the paper
DOI: 10.25625/l6ilrd/fiiyb8
title: 9_11_755.mgf

description: :unav
DOI: 10.25625/l6ilrd/yuzlfa
title: 7_93_303.mgf

description: :unav
DOI: 10.25625/l6ilrd/ycbihw
title: 8_58_755.mgf

description: :unav
DOI: 10.25625/l6ilrd/qpzqoi
title: 7_35_755.mgf

description: :unav
DOI: 10.25625/l6ilrd/d9pg2w
title: 7_93_1543.mgf

description: :unav
DOI: 10.25625/l6ilrd/ezlkkf
title: 8_04_755.mgf

description: :unav
DOI: 10.25625/l6ilrd/tnqfu4
title: 8_72_757.mgf

description: :unav
DOI: 10.25625/l6ilrd/epnrhu
title: 7_67_779.mgf

description: :unav
DOI: 10.25625/l6ilrd/lytwmr
title: 7_93_771.mgf

description: :unav
DOI: 10.25625/l6ilrd/gyzhoe
title: 8_58_757.mgf

description: :unav
DOI: 10.25625/l6ilrd/vxqya1
title: 8_58_287.mgf

description: :unav
DOI: 10.25625/l6ilrd/3pebl2
title: 8_72_755.mgf

description: :unav
DOI: 10.25625/l6ilrd/i8fnht
title: 8_70_815.mgf

description: :unav
DOI: 10.25625/l6ilrd/gvjmub
title: 7_67_755.mgf

description: :unav
DOI: 10.25625/l6ilrd/jajf7i
title: 7_67_757.mgf

description: :unav
DOI: 10.25625/l6ilrd/uljft3
title: 7_93_773.mgf

description: :unav
DOI: 10.25625/l6ilrd/veb5ax
title: 9_50_815.mgf

description: :unav
DOI: 10.25625/l6ilrd/hibvkm
title: 7_93_795.mgf

description: :unav
DOI: 10.25625/l6ilrd/rpco6n
title: 6_20_771.mgf

description: :unav
DOI: 10.25625/l6ilrd/orkdej
title: 7_46_755.mgf

description: :unav
DOI: 10.25625/l6ilrd/cizna7
title: 6_78_771.mgf

description: :unav
DOI: 10.25625/l6ilrd
title: Auto MS/MS spectra in Mascot format

description: Mascot generic file format for SIRIUS input
DOI: 10.25625/ce4yo6/pdfzz5
title: flavon glycosides_structures.tab

description: :unav
DOI: 10.25625/ce4yo6
title: Flavonol glycoside chemical structures

description: Structures, CAS, and SMILES for 12 flavonol glycosides
DOI: 10.6084/m9.figshare.19131281
title: Evaluating Balance Tasks using fNIRS

description: The raw data of this study was obtained from continuous wave fNIRS system (tandem NIRSPORT 2 fNIRS system, from NIRx Medical Technologies, LLC). All of the files obtained by this instrument in this study are fully available without any restriction. Following are the organization of the data:1) Group 1 folder shows the data obtained during action observation experiment for 13 subjects. 2) Group 2 folder shows the data obtained during action observation and motor imagery experiment for 13 subjects. 3) Group 3 folder shows the data obtained during motor imagery experiment for 13 subjects.
DOI: 10.17027/isric-soilgrids/fe36b48f-c4b1-4598-8111-b788dd5c3abb
title: SoilGrids250m 2.0 - Volumetric Water Content at 33kPa aggregated 5000m

description: Volumetric Water Content at 33kPa in 10-3 cm3cm-3 (0.1 v% or 1 mm/m) at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Turek et al. 2021) for each 5000 m cell.
DOI: 10.17027/isric-soilgrids/e598556a-4dfc-40dc-89ef-1cfd01276744
title: SoilGrids250m 2.0 - Volumetric Water Content at 1500kPa aggregated 5000m

description: Volumetric Water Content at 1500kPa in 10-3 cm3cm-3 (0.1 v% or 1 mm/m) at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Turek et al. 2021) for each 5000 m cell.
DOI: 10.6084/m9.figshare.19131305
title: Dimitriadou et al Guppy OXT BBRES data.csv

description: Dataset for the paper "Social partner cooperativeness influences brain <i>oxytocin </i>transcription in Trinidadian guppies (<i>Poecilia reticulata</i>)"by Dimitriadou et al (2021)
DOI: 10.17027/isric-soilgrids/2be1c098-b2b6-40ab-94b5-86674ad9f4cb
title: SoilGrids250m 2.0 - Volumetric Water Content at 10kPa aggregated 5000m

description: Volumetric Water Content at 10kPa in 10-3 cm3cm-3 (0.1 v% or 1 mm/m) at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Turek et al. 2021) for each 5000 m cell.
DOI: 10.17027/isric-soilgrids/35421259-e5f4-4411-8102-9cb67c74b9ef
title: SoilGrids250m 2.0 - Silt content aggregated 5000m

description: Silt content (2-50/63 micro meter) mass fraction in ‰ at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Poggio et al. 2021) for each 5000 m cell.
DOI: 10.5281/zenodo.5975334
title: Shotgun primer expansion in confined environmnets

description: Contains datasets of shotgun primers being fired into varying levels on confinement.
DOI: 10.5281/zenodo.5975333
title: Shotgun primer expansion in confined environmnets

description: Contains datasets of shotgun primers being fired into varying levels on confinement.
DOI: 10.17027/isric-soilgrids/0df59382-8b09-419c-80c2-96ee41971fe0
title: SoilGrids250m 2.0 - Sand content aggregated 5000m

description: Sand content (50/63-2000 micro meter) mass fraction in ‰ at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Poggio et al. 2021) for each 5000 m cell.
DOI: 10.17027/isric-soilgrids/b5ca4bb7-7846-48d9-9af9-a0a4a0b94f23
title: SoilGrids250m 2.0 - Bulk density aggregated 5000m

description: Bulk density (fine earth) in cg/cm³ at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Poggio et al. 2021) for each 5000 m cell.
DOI: 10.17027/isric-soilgrids/6d86f10a-d898-4ba9-b41d-b11c767dde8b
title: SoilGrids250m 2.0 - Total nitrogen aggregated 5000m

description: Total nitrogen in cg/kg at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Poggio et al. 2021) for each 5000 m cell.
DOI: 10.17027/isric-soilgrids/e24b2c2b-5bb4-4c0c-b743-55aa9c276400
title: SoilGrids250m 2.0 - Soil organic carbon density aggregated 5000m

description: Soil organic carbon density in g/dm³ at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Poggio et al. 2021) for each 5000 m cell.
DOI: 10.17027/isric-soilgrids/1492ae40-b4f9-4ce2-bfe2-9d41be7444d2
title: SoilGrids250m 2.0 - Coarse fragments volumetric aggregated 5000m

description: Coarse fragments volumetric in ‱ at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Poggio et al. 2021) for each 5000 m cell.
DOI: 10.17027/isric-soilgrids/4a244ff3-bd55-4d99-9943-26e799cf56cb
title: SoilGrids250m 2.0 - Soil pH in H2O aggregated 5000m

description: Soil pH x 10 in H2O at 6 standard depths (to convert to pH values divide by 10). Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Poggio et al. 2021) for each 5000 m cell.
DOI: 10.6084/m9.figshare.16802158.v17
title: Good Fences Make Good Neighbours? On the Impact of Cultural and Geographical Dispersion on Community Smells

description: Appendix and Replication Package of the paper titled <b>Good Fences Make Good Neighbours! On the Impact of Cultural and Geographical Dispersion on Community Smells</b>.
DOI: 10.6084/m9.figshare.16802158.v16
title: Good Fences Make Good Neighbours? On the Impact of Cultural and Geographical Dispersion on Community Smells

description: Appendix and Replication Package of the paper titled <b>Good Fences Make Good Neighbours! On the Impact of Cultural and Geographical Dispersion on Community Smells</b>.
DOI: 10.17027/isric-soilgrids/867431df-9c35-4aaa-8cd7-93ee0226eb3d
title: SoilGrids250m 2.0 - Cation exchange capacity at ph7 aggregated 5000m

description: Cation exchange capacity (buffered at pH 7) of fine earth fraction in cmolc/kg at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Poggio et al. 2021) for each 5000 m cell.
DOI: 10.15129/f2582aef-9a9d-48b9-a4f4-a69d379bcfa1
title: Data for: "Investigation into the Use of Microfluidics in the Manufacture of Metallic Gold-Coated Iron Oxide Hybrid Nanoparticles"

description: Concentration, size and surface charge data including calibrations.
DOI: 10.17027/isric-soilgrids/57dc0d08-95ee-4118-8f23-9aeab65ba31b
title: SoilGrids250m 2.0 - Volumetric Water Content at 10kPa aggregated 1000m

description: Volumetric Water Content at 10kPa in 10-3 cm3cm-3 (0.1 v% or 1 mm/m) at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Turek et al. 2021) for each 1000 m cell.
DOI: 10.17027/isric-soilgrids/f6ecfed7-035b-49ca-bec3-3cbd87f5aba3
title: SoilGrids250m 2.0 - Volumetric Water Content at 33kPa aggregated 1000m

description: Volumetric Water Content at 33kPa in 10-3 cm3cm-3 (0.1 v% or 1 mm/m) at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Turek et al. 2021) for each 1000 m cell.
DOI: 10.17027/isric-soilgrids/145ee3ba-76e0-4a0f-88e2-6b2df3957dab
title: SoilGrids250m 2.0 - Volumetric Water Content at 1500kPa aggregated 1000m

description: Volumetric Water Content at 1500kPa in 10-3 cm3cm-3 (0.1 v% or 1 mm/m) at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Turek et al. 2021) for each 1000 m cell.
DOI: 10.17027/isric-soilgrids/08a4990c-ca15-4871-8d12-ea21dae6b354
title: SoilGrids250m 2.0 - Silt content aggregated 1000m

description: Silt content (2-50/63 micro meter) mass fraction in ‰ at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Poggio et al. 2021) for each 1000 m cell.
DOI: 10.17027/isric-soilgrids/e70d9b3b-a395-4cf7-a6f9-06ca316e506c
title: SoilGrids250m 2.0 - Sand content aggregated 1000m

description: Sand content (50/63-2000 micro meter) mass fraction in ‰ at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Poggio et al. 2021) for each 1000 m cell.
DOI: 10.22021/bbldntz202201
title: The Linked Open British National Bibliography – Books. 1950/2022-01 – N-Triples
DOI: 10.22021/bbldrdfz202201
title: The Linked Open British National Bibliography – Books. 1950/2022-01 – RDF/XML
DOI: 10.17027/isric-soilgrids/5e1605a7-5cae-4f7c-b800-9aa7f315d00d
title: SoilGrids250m 2.0 - Clay content aggregated 1000m

description: Clay content (0-2 micro meter) mass fraction in ‰ at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Poggio et al. 2021) for each 1000 m cell.
DOI: 10.22021/bsldntz202201
title: The Linked Open British National Bibliography – Serials. 1950/2022-01 – N-Triples
DOI: 10.22021/bsldrdfz202201
title: The Linked Open British National Bibliography – Serials. 1950/2022-01 – RDF/XML
DOI: 10.5517/ccdc.csd.cc1ncgxd
title: CCDC 1530374: Experimental Crystal Structure Determination

description: Related Article: Yun-Di Yue, Chen Sun, Wei-Feng Zhang, Xing-Yu Sun, Yan Du, Hong-Mei Pan, Yue-Yu Ma, Ting-Jiang Yan, Zhi-Hong Jing|2020|J.Solid State Chem.|285|121212|doi:10.1016/j.jssc.2020.121212
DOI: 10.25505/fiz.icsd.cc22805k
title: CSD 1914317: Experimental Crystal Structure Determination

description: Related Article: M. Ørndrup Nielsen, P. Brilner Lund, V. McKee, D.B. Ravnsbæk, T.E. Warner, C. Wegeberg|2020|J.Solid State Chem.|285|121259|doi:10.1016/j.jssc.2020.121259
DOI: 10.25505/fiz.icsd.cc22806l
title: CSD 1914318: Experimental Crystal Structure Determination

description: Related Article: M. Ørndrup Nielsen, P. Brilner Lund, V. McKee, D.B. Ravnsbæk, T.E. Warner, C. Wegeberg|2020|J.Solid State Chem.|285|121259|doi:10.1016/j.jssc.2020.121259
DOI: 10.5517/ccdc.csd.cc23046h
title: CCDC 1936545: Experimental Crystal Structure Determination

description: Related Article: Jing Jin|2019|CSD Communication|||
description: Related Article: Jing Jin, Yanchen Liu, Meng Wang, Yizhou Liu, Guoping Yang, Yao-Yu Wang|2020|J.Solid State Chem.|285|121270|doi:10.1016/j.jssc.2020.121270
DOI: 10.5517/ccdc.csd.cc23047j
title: CCDC 1936546: Experimental Crystal Structure Determination

description: Related Article: Jing Jin|2019|CSD Communication|||
description: Related Article: Jing Jin, Yanchen Liu, Meng Wang, Yizhou Liu, Guoping Yang, Yao-Yu Wang|2020|J.Solid State Chem.|285|121270|doi:10.1016/j.jssc.2020.121270
DOI: 10.5517/ccdc.csd.cc23048k
title: CCDC 1936547: Experimental Crystal Structure Determination

description: Related Article: Jing Jin|2019|CSD Communication|||
description: Related Article: Jing Jin, Yanchen Liu, Meng Wang, Yizhou Liu, Guoping Yang, Yao-Yu Wang|2020|J.Solid State Chem.|285|121270|doi:10.1016/j.jssc.2020.121270
DOI: 10.22021/bcldntz202201
title: The Linked Open British National Bibliography – Forthcoming Books. 2022-01 – N-Triples
DOI: 10.5517/ccdc.csd.cc23bkvw
title: CCDC 1946578: Experimental Crystal Structure Determination

description: Related Article: Yun-Long Wu, Yang-Tian Yan, Ti-Sha Liang, Huan-Huan Liang, Guoping Yang, Xiao-Lei Su, Xin-Hai He, Muhammad Tahir Khan, Yao-Yu Wang|2020|J.Solid State Chem.|285|121258|doi:10.1016/j.jssc.2020.121258
DOI: 10.5517/ccdc.csd.cc23x7s2
title: CCDC 1963564: Experimental Crystal Structure Determination

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