cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7915511
title: Results of article : "Prospective European District Heating Scenarios based on Geographical Analysis"

description: Results of the paper "Prospective European District Heating scenarios based on geographical analysis". Three scenarios are generated : Ambitious, Circular, and Conservative. For each scenario, there is a gpkg file and an excel file. The gpkg file is the whole dataset of inputs and results, each row being a European city. The excel summarizes the results for each EU27+UK country.
DOI: 10.34740/kaggle/dsv/5781727
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.34740/kaggle/dsv/5781732
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.7974151
title: Dataset for Tempotron-based pulse shape discrimination

description: This dataset consists of 9,404 radiation pulse signals of neutrons and gamma-rays, including approximately 2,000 neutron events and over 7,000 gamma ray events. Each pulse signal has a length of about 280 ns, and the dataset is saved in txt format, which can be read using the loadtxt function supported by the NumPy library.
description: This dataset is for the GitHub project: https://github.com/HaoranLiu507/TempotronGPU
DOI: 10.5281/zenodo.7974150
title: Dataset for Tempotron-based pulse shape discrimination

description: This dataset consists of 9,404 radiation pulse signals of neutrons and gamma-rays, including approximately 2,000 neutron events and over 7,000 gamma ray events. Each pulse signal has a length of about 280 ns, and the dataset is saved in txt format, which can be read using the loadtxt function supported by the NumPy library.
description: This dataset is for the GitHub project: https://github.com/HaoranLiu507/TempotronGPU
DOI: 10.7281/t1/1ecvb0/amxcu3
title: DustOff-monthly-average_wrfout_d01_2002-06_18_mean.nc
DOI: 10.7281/t1/1ecvb0/lvep7n
title: DustOff-monthly-average_wrfout_d01_2002-09_12_mean.nc
DOI: 10.7281/t1/1ecvb0/swkgjn
title: DustOff-monthly-average_wrfout_d01_2002-04_12_mean.nc
DOI: 10.7281/t1/1ecvb0/6ohqfz
title: DustOff-monthly-average_wrfout_d01_2002-06_00_mean.nc
DOI: 10.7281/t1/1ecvb0/af5gxf
title: DustOff-monthly-average_wrfout_d01_2002-04_18_mean.nc
DOI: 10.7281/t1/1ecvb0/gxxdqq
title: DustOff-monthly-average_wrfout_d01_2002-03_18_mean.nc
DOI: 10.7281/t1/1ecvb0/iketsj
title: DustOff-monthly-average_wrfout_d01_2002-10_12_mean.nc
DOI: 10.7281/t1/1ecvb0/iykw7w
title: DustOff-monthly-average_wrfout_d01_2002-07_06_mean.nc
DOI: 10.7281/t1/1ecvb0/uuywdm
title: DustOff-monthly-average_wrfout_d01_2002-03_00_mean.nc
DOI: 10.7281/t1/1ecvb0/63v0oz
title: DustOff-monthly-average_wrfout_d01_2002-09_18_mean.nc
DOI: 10.7281/t1/1ecvb0/diqrll
title: DustOff-monthly-average_wrfout_d01_2002-04_00_mean.nc
DOI: 10.7281/t1/1ecvb0/hx7dnz
title: DustOff-monthly-average_wrfout_d01_2002-06_12_mean.nc
DOI: 10.7281/t1/1ecvb0/royme4
title: DustOff-monthly-average_wrfout_d01_2002-10_18_mean.nc
DOI: 10.7281/t1/1ecvb0/vn9swg
title: DustOff-monthly-average_wrfout_d01_2002-10_00_mean.nc
DOI: 10.7281/t1/1ecvb0/o8dmbz
title: DustOff-monthly-average_wrfout_d01_2002-05_06_mean.nc
DOI: 10.7281/t1/1ecvb0/0qorj9
title: DustOff-monthly-average_wrfout_d01_2002-09_00_mean.nc
DOI: 10.7281/t1/1ecvb0/fd6nzb
title: DustOff-monthly-average_wrfout_d01_2002-08_06_mean.nc
DOI: 10.7281/t1/1ecvb0/i2bgey
title: DustOff-monthly-average_wrfout_d01_2002-05_12_mean.nc
DOI: 10.7281/t1/1ecvb0/jxczyq
title: DustOff-monthly-average_wrfout_d01_2002-03_12_mean.nc
DOI: 10.7281/t1/1ecvb0/qkyrct
title: DustOff-monthly-average_wrfout_d01_2002-06_06_mean.nc
DOI: 10.7281/t1/1ecvb0/wfmlih
title: DustOff-monthly-average_wrfout_d01_2002-07_00_mean.nc
DOI: 10.7281/t1/1ecvb0/kwfwc1
title: DustOff-monthly-average_wrfout_d01_2002-03_06_mean.nc
DOI: 10.7281/t1/1ecvb0/kyoucu
title: DustOff-monthly-average_wrfout_d01_2002-05_00_mean.nc
DOI: 10.7281/t1/1ecvb0/mkqfkr
title: DustOff-monthly-average_wrfout_d01_2002-04_06_mean.nc
DOI: 10.7281/t1/1ecvb0/vhvxdp
title: DustOff-monthly-average_wrfout_d01_2002-07_18_mean.nc
DOI: 10.7281/t1/1ecvb0/vzxyay
title: DustOff-monthly-average_wrfout_d01_2002-08_12_mean.nc
DOI: 10.7281/t1/1ecvb0/5mh2mo
title: DustOff-monthly-average_wrfout_d01_2002-09_06_mean.nc
DOI: 10.7281/t1/1ecvb0/8ad1zv
title: DustOff-monthly-average_wrfout_d01_2002-08_00_mean.nc
DOI: 10.7281/t1/1ecvb0/hjjdj4
title: DustOff-monthly-average_wrfout_d01_2002-07_12_mean.nc
DOI: 10.7281/t1/1ecvb0/rgq2ad
title: DustOff-monthly-average_wrfout_d01_2002-10_06_mean.nc
DOI: 10.7281/t1/1ecvb0/x6spuf
title: DustOff-monthly-average_wrfout_d01_2002-05_18_mean.nc
DOI: 10.7281/t1/1ecvb0/be7eg8
title: DustOff-monthly-average_wrfout_d01_2003-07_12_mean.nc
DOI: 10.7281/t1/1ecvb0/cwn8bs
title: DustOff-monthly-average_wrfout_d01_2003-04_06_mean.nc
DOI: 10.7281/t1/1ecvb0/rw66bk
title: DustOff-monthly-average_wrfout_d01_2003-05_18_mean.nc
DOI: 10.7281/t1/1ecvb0/tqhrkx
title: DustOff-monthly-average_wrfout_d01_2003-08_18_mean.nc
DOI: 10.7281/t1/1ecvb0/wfvli6
title: DustOff-monthly-average_wrfout_d01_2003-10_06_mean.nc
DOI: 10.7281/t1/1ecvb0/ywii4b
title: DustOff-monthly-average_wrfout_d01_2002-08_18_mean.nc
DOI: 10.7281/t1/1ecvb0/nzqfv9
title: DustOff-monthly-average_wrfout_d01_2003-05_00_mean.nc
DOI: 10.7281/t1/1ecvb0/t4cn3o
title: DustOff-monthly-average_wrfout_d01_2003-09_06_mean.nc
DOI: 10.7281/t1/1ecvb0/wlq1gc
title: DustOff-monthly-average_wrfout_d01_2003-05_12_mean.nc
DOI: 10.7281/t1/1ecvb0/x2vts2
title: DustOff-monthly-average_wrfout_d01_2003-07_18_mean.nc
DOI: 10.7281/t1/1ecvb0/z92ljk
title: DustOff-monthly-average_wrfout_d01_2003-08_00_mean.nc
DOI: 10.7281/t1/1ecvb0/9r6ikc
title: DustOff-monthly-average_wrfout_d01_2003-07_00_mean.nc
DOI: 10.7281/t1/1ecvb0/ccsskn
title: DustOff-monthly-average_wrfout_d01_2003-08_12_mean.nc
DOI: 10.7281/t1/1ecvb0/gnecic
title: DustOff-monthly-average_wrfout_d01_2003-03_06_mean.nc
DOI: 10.7281/t1/1ecvb0/od5wg3
title: DustOff-monthly-average_wrfout_d01_2003-05_06_mean.nc
DOI: 10.7281/t1/1ecvb0/t530me
title: DustOff-monthly-average_wrfout_d01_2003-06_06_mean.nc
DOI: 10.7281/t1/1ecvb0/ajz36h
title: DustOff-monthly-average_wrfout_d01_2003-04_00_mean.nc
DOI: 10.7281/t1/1ecvb0/g2dkq3
title: DustOff-monthly-average_wrfout_d01_2003-09_00_mean.nc
DOI: 10.7281/t1/1ecvb0/hhvwz4
title: DustOff-monthly-average_wrfout_d01_2003-08_06_mean.nc
DOI: 10.7281/t1/1ecvb0/iezwjr
title: DustOff-monthly-average_wrfout_d01_2003-10_18_mean.nc
DOI: 10.7281/t1/1ecvb0/nrho05
title: DustOff-monthly-average_wrfout_d01_2003-03_12_mean.nc
DOI: 10.7281/t1/1ecvb0/eczcsh
title: DustOff-monthly-average_wrfout_d01_2003-09_18_mean.nc
DOI: 10.7281/t1/1ecvb0/isaj0d
title: DustOff-monthly-average_wrfout_d01_2003-10_00_mean.nc
DOI: 10.7281/t1/1ecvb0/mpsph7
title: DustOff-monthly-average_wrfout_d01_2003-06_12_mean.nc
DOI: 10.7281/t1/1ecvb0/pxvc2q
title: DustOff-monthly-average_wrfout_d01_2003-04_18_mean.nc
DOI: 10.7281/t1/1ecvb0/v1zqu5
title: DustOff-monthly-average_wrfout_d01_2003-06_00_mean.nc
DOI: 10.7281/t1/1ecvb0/3wk9y3
title: DustOff-monthly-average_wrfout_d01_2003-10_12_mean.nc
DOI: 10.7281/t1/1ecvb0/4lfxso
title: DustOff-monthly-average_wrfout_d01_2003-06_18_mean.nc
DOI: 10.7281/t1/1ecvb0/edzm45
title: DustOff-monthly-average_wrfout_d01_2003-07_06_mean.nc
DOI: 10.7281/t1/1ecvb0/fp7v3b
title: DustOff-monthly-average_wrfout_d01_2003-03_00_mean.nc
DOI: 10.7281/t1/1ecvb0/ilyylo
title: DustOff-monthly-average_wrfout_d01_2003-04_12_mean.nc
DOI: 10.7281/t1/1ecvb0/p8xsjz
title: DustOff-monthly-average_wrfout_d01_2003-03_18_mean.nc
DOI: 10.7281/t1/1ecvb0/irxzni
title: DustOff-monthly-average_wrfout_d01_2004-05_00_mean.nc
DOI: 10.7281/t1/1ecvb0/qmxngs
title: DustOff-monthly-average_wrfout_d01_2004-04_06_mean.nc
DOI: 10.7281/t1/1ecvb0/slihkr
title: DustOff-monthly-average_wrfout_d01_2004-08_00_mean.nc
DOI: 10.7281/t1/1ecvb0/thvurw
title: DustOff-monthly-average_wrfout_d01_2004-09_06_mean.nc
DOI: 10.7281/t1/1ecvb0/wuo8fj
title: DustOff-monthly-average_wrfout_d01_2003-09_12_mean.nc
DOI: 10.7281/t1/1ecvb0/3tygh7
title: DustOff-monthly-average_wrfout_d01_2004-07_00_mean.nc
DOI: 10.7281/t1/1ecvb0/b3mj5m
title: DustOff-monthly-average_wrfout_d01_2004-06_06_mean.nc
DOI: 10.7281/t1/1ecvb0/dzoe07
title: DustOff-monthly-average_wrfout_d01_2004-10_06_mean.nc
DOI: 10.7281/t1/1ecvb0/eat9rh
title: DustOff-monthly-average_wrfout_d01_2004-08_18_mean.nc
DOI: 10.7281/t1/1ecvb0/mxkvhg
title: DustOff-monthly-average_wrfout_d01_2004-07_12_mean.nc
DOI: 10.7281/t1/1ecvb0/wlzklw
title: DustOff-monthly-average_wrfout_d01_2004-05_18_mean.nc
DOI: 10.7281/t1/1ecvb0/1b1dxv
title: DustOff-monthly-average_wrfout_d01_2004-05_12_mean.nc
DOI: 10.7281/t1/1ecvb0/hwar3k
title: DustOff-monthly-average_wrfout_d01_2004-07_18_mean.nc
DOI: 10.7281/t1/1ecvb0/ixqtsl
title: DustOff-monthly-average_wrfout_d01_2004-08_12_mean.nc
DOI: 10.7281/t1/1ecvb0/mnualh
title: DustOff-monthly-average_wrfout_d01_2004-09_18_mean.nc
DOI: 10.7281/t1/1ecvb0/po9rin
title: DustOff-monthly-average_wrfout_d01_2004-03_06_mean.nc
DOI: 10.7281/t1/1ecvb0/1aluaw
title: DustOff-monthly-average_wrfout_d01_2004-04_18_mean.nc
DOI: 10.7281/t1/1ecvb0/pzjc7s
title: DustOff-monthly-average_wrfout_d01_2004-10_00_mean.nc
DOI: 10.7281/t1/1ecvb0/toggtb
title: DustOff-monthly-average_wrfout_d01_2004-06_12_mean.nc
DOI: 10.7281/t1/1ecvb0/u917ur
title: DustOff-monthly-average_wrfout_d01_2004-09_00_mean.nc
DOI: 10.7281/t1/1ecvb0/x1qk5j
title: DustOff-monthly-average_wrfout_d01_2004-03_12_mean.nc
DOI: 10.7281/t1/1ecvb0/egetot
title: DustOff-monthly-average_wrfout_d01_2004-04_00_mean.nc
DOI: 10.7281/t1/1ecvb0/ikhzwr
title: DustOff-monthly-average_wrfout_d01_2004-08_06_mean.nc
DOI: 10.7281/t1/1ecvb0/rzbjbe
title: DustOff-monthly-average_wrfout_d01_2004-09_12_mean.nc
DOI: 10.15468/dl.bvt25q
title: Occurrence Download

description: A dataset containing 235 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Corallus annulatus (Cope, 1875)"
 ]
}

 The dataset includes 235 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0108376-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2930nx0z
title: Permafrost thaw depth measurements at beaver pond locations in Northwestern Alaska, 2022-2026

description: This dataset contains permafrost thaw depth measurements at Alaskan beaver ponds collected as part of the Arctic Beaver Observation Network.
 The Arctic Beaver Observation Network is a 5-year project (2021-2026) funded by the National Science Foundation. The natural science part of the project uses remote sensing to observe the progress and impacts of beaver engineering in the Arctic, starting in Alaska and extending into Canada and Eurasia. The project also establishes field sites at tundra beaver ponds to study the implications of beaver engineering on hydrology and permafrost, as well as pond evolution documented using Unmanned Aerial Systems (UAS). Remote sensing work will map beaver ponds over time. Field measurements at tundra beaver ponds are made in August and late March. Data generated by field measurements include water level and temperature from pressure-transducers, subsurface imaging from ground-penetrating radar, sonar measurements for beaver pond bathymetry, tabular data associated with water quality measurements, and ice thickness and water depth (in winter). Data is also posted from UAS surveys: annual visible and multi-spectral surveys, as well as snow depth. This dataset comprises thaw depth measurements along transects near beaver ponds, to document permafrost impacts over time.
DOI: 10.15468/dl.td4msk
title: Occurrence Download

description: A dataset containing 2227 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is IRAD Cameroon insect collection"
 ]
}

 The dataset includes 2227 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0108377-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5wd3qc8b
title: MassIVE MSV000095728 - Optimization of LCTIMSMSMS For Nontryptic Peptidomics
title: LC-TIMS-MS/MS was optimized to detect collagenase-generated peptides using a rat tail collagen solution (RTC) standard and Pierce HeLa protein digest. TIMS #1 is StdMobility, TIMS #2 is NoPoly, TIMS #3 is StandardPoly, TIMS #4 is LargeTrapPoly, TIMS #5 is 1ChargeLrgPoly. Clinically archived, formalin-fixed, paraffin-embedded hepatocellular carcinoma patient tissues were scraped and digested in solution with collagenase (Col3) or trypsin (Tryp) and run with TIMS #3 (Tissue_Std) or TIMS #4 (Tissue). Tissues were also digested on-tissue, subjected to liquid surface extraction (LSE files) followed by LC-TIMS-MS/MS with TIMS #4 or MALDI-MSI (20240521_Liver_69259).
DOI: 10.15468/dl.h4cry5
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-54.98825 -53.09111,-27.27587 -53.09111,-27.27587 13.37399,-54.98825 13.37399,-50.09838 0.63088,-54.98825 -53.09111))",
 "HasGeospatialIssue is false",
 "TaxonKey is Omobranchus punctatus (Valenciennes, 1836)"
 ]
}

 The dataset's 1 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0108363-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13543533
title: Extension of Vervoort et al. 2019 simulation set for Trudgill et al. 2024

description: cGENIE simulations that expand the Vervoort et al. 2019 simulation set (additional CIE duration and selected simulations re-run with neritic rather than pelagic carbonate production)
DOI: 10.5281/zenodo.13543535
title: Extension of Vervoort et al. 2019 simulation set for Trudgill et al. 2024

description: cGENIE simulations that expand the Vervoort et al. 2019 simulation set (additional CIE duration and selected simulations re-run with neritic rather than pelagic carbonate production)
DOI: 10.6073/pasta/a038a828646e8a1c3313812846309b6c
title: O. mykiss passages at the Stanislaus River weir, 2005-2024

description: The Central Valley Project Improvement Act (CVPIA) provides funds to aid the San Joaquin Basin Steelhead Collaborative and initiate a Steelhead Life-Cycle Monitoring Program. This dataset includes observations of O. mykiss in the Stanislaus River during the steelhead spawning migration period, September through May. Fish are observed at an Alaskan-style weir outfitted with a VAKI Riverwatcher fish counting device. The counting device provides visual records of upstream passing individuals that are later reviewed by an experienced biologist. During times when the counting device is offline, a continuous video feed is reviewed to provide counts and identifications of passing fish. The length of passing fish is estimated using a known body depth to length ratio derived from individuals trapped and measured at the weir. The weir also has a trap box that, when closed, allows investigators to physically capture fish for measurements, biological sample collection, and injection of a PIT tag. There is also a PIT tag antenna affixed to the weir allowing detection of PIT tagged fish. There are three datasets currently associated with this project, 1) passage data for all O. mykiss from 2005 through 2020, 2) O. mykiss that were captured and processed from the trap, and 3) PIT tag detections from the PIT antenna.
DOI: 10.15468/dl.x8vbyv
title: Occurrence Download

description: A dataset containing 319 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phoradendron argentinum Urb."
 ]
}

 The dataset includes 319 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0108378-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c4xa89
title: Occurrence Download

description: A dataset containing 1381414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dactylis glomerata L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1381414 records from 4619 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0108361-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25505/fiz.icsd.cc248wq1
title: CSD 1974753: Experimental Crystal Structure Determination

description: Related Article: Maria Teresa Caldes, Catherine Guillot-Deudon, Angelica Thomere, Margaux Penicaud, Eric Gautron, Philippe Boullay, Martine Bujoli-Doeuff, Nicolas Barreau, Stéphane Jobic, Alain Lafond|2020|Inorg.Chem.|59|4546|doi:10.1021/acs.inorgchem.9b03686
DOI: 10.25505/fiz.icsd.cc248wr2
title: CSD 1974754: Experimental Crystal Structure Determination

description: Related Article: Maria Teresa Caldes, Catherine Guillot-Deudon, Angelica Thomere, Margaux Penicaud, Eric Gautron, Philippe Boullay, Martine Bujoli-Doeuff, Nicolas Barreau, Stéphane Jobic, Alain Lafond|2020|Inorg.Chem.|59|4546|doi:10.1021/acs.inorgchem.9b03686
DOI: 10.25505/fiz.icsd.cc23yp3w
title: CSD 1964938: Experimental Crystal Structure Determination

description: Related Article: Zoran Mazej, Evgeny Goreshnik|2020|Inorg.Chem.|59|2092|doi:10.1021/acs.inorgchem.9b03518
DOI: 10.25505/fiz.icsd.cc249m8c
title: CSD 1975452: Experimental Crystal Structure Determination

description: Related Article: Jian-Han Zhang, Qi Wu, Wen-Zhong Lai|2020|Dalton Trans.|49|2337|doi:10.1039/D0DT00035C
DOI: 10.25505/fiz.icsd.cc249m9d
title: CSD 1975453: Experimental Crystal Structure Determination

description: Related Article: Jian-Han Zhang, Qi Wu, Wen-Zhong Lai|2020|Dalton Trans.|49|2337|doi:10.1039/D0DT00035C
DOI: 10.25505/fiz.icsd.cc249mbf
title: CSD 1975454: Experimental Crystal Structure Determination

description: Related Article: Jian-Han Zhang, Qi Wu, Wen-Zhong Lai|2020|Dalton Trans.|49|2337|doi:10.1039/D0DT00035C
DOI: 10.25505/fiz.icsd.cc249mcg
title: CSD 1975455: Experimental Crystal Structure Determination

description: Related Article: Jian-Han Zhang, Qi Wu, Wen-Zhong Lai|2020|Dalton Trans.|49|2337|doi:10.1039/D0DT00035C
DOI: 10.25505/fiz.icsd.cc249xx9
title: CSD 1975751: Experimental Crystal Structure Determination

description: Related Article: Yanhua Li, Xuedan Song, Yan Liu, Yongkang Guo, Yu Sun, Min Ji, Zhonglu You, Yonglin An|2020|Dalton Trans.|49|11708|doi:10.1039/D0DT02513E
DOI: 10.25505/fiz.icsd.cc249xyb
title: CSD 1975752: Experimental Crystal Structure Determination

description: Related Article: Yanhua Li, Xuedan Song, Yan Liu, Yongkang Guo, Yu Sun, Min Ji, Zhonglu You, Yonglin An|2020|Dalton Trans.|49|11708|doi:10.1039/D0DT02513E
DOI: 10.25505/fiz.icsd.cc249y5l
title: CSD 1975759: Experimental Crystal Structure Determination

description: Related Article: Yanhua Li, Xuedan Song, Yan Liu, Yongkang Guo, Yu Sun, Min Ji, Zhonglu You, Yonglin An|2020|Dalton Trans.|49|11708|doi:10.1039/D0DT02513E
DOI: 10.25505/fiz.icsd.cc24b3sd
title: CSD 1975933: Experimental Crystal Structure Determination

description: Related Article: Sebastian Wendl, Mathias Mallmann, Philipp Strobel, Peter J. Schmidt, Wolfgang Schnick|2020|Eur.J.Inorg.Chem.|2020|841|doi:10.1002/ejic.202000041
DOI: 10.5517/ccdc.csd.cc24b9kc
title: CSD 1976112: Experimental Crystal Structure Determination

description: Related Article: Zhi-Hui Shi, Yang Chi, Mei Yang, Wenlong Liu, Sheng-Ping Guo|2020|Inorg.Chem.|59|3532|doi:10.1021/acs.inorgchem.0c00086
DOI: 10.5517/ccdc.csd.cc24b9ld
title: CSD 1976113: Experimental Crystal Structure Determination

description: Related Article: Zhi-Hui Shi, Yang Chi, Mei Yang, Wenlong Liu, Sheng-Ping Guo|2020|Inorg.Chem.|59|3532|doi:10.1021/acs.inorgchem.0c00086
DOI: 10.5517/ccdc.csd.cc24b9mf
title: CSD 1976114: Experimental Crystal Structure Determination

description: Related Article: Zhi-Hui Shi, Yang Chi, Mei Yang, Wenlong Liu, Sheng-Ping Guo|2020|Inorg.Chem.|59|3532|doi:10.1021/acs.inorgchem.0c00086
DOI: 10.5517/ccdc.csd.cc24b9ng
title: CSD 1976115: Experimental Crystal Structure Determination

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