cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3587536
title: Synthetic magnetic nanoparticles for remote-controlled stemcell therapies of neurodegenerative disorders

description: In the context of the MAGNEURON european project, we developed different types of magnetic nanoparticles that can act as nanoactuators to manipulate intracellular proteins involved in signaling pathways. Four types of particles are presented here. First, size-sorted maghemite cores of different diameter (8 to 20 nm) were synthesized. Then these cores were used to make Fe2O3@SiO2 core-shell nanoparticles that are colloidally stable and easy to functionalize, and poly(acrylic acid) coated nanoparticles. Both types of particles can be rendered fluorescent by the addition of a fluorophore. Finally, we also developed a way to synthesize micro-needles made of aligned maghemite cores encapsulated in a silica layer. In this dataset are presented some electron microscopy images of the optimized particles and their characterizations in terms of sizes and magnetic properties. These particles have then been used by the other members of the Magneuron consortium in order to manipulate different intracellular signalling pathways.
DOI: 10.5281/zenodo.3587537
title: Synthetic magnetic nanoparticles for remote-controlled stemcell therapies of neurodegenerative disorders

description: In the context of the MAGNEURON european project, we developed different types of magnetic nanoparticles that can act as nanoactuators to manipulate intracellular proteins involved in signaling pathways. Four types of particles are presented here. First, size-sorted maghemite cores of different diameter (8 to 20 nm) were synthesized. Then these cores were used to make Fe2O3@SiO2 core-shell nanoparticles that are colloidally stable and easy to functionalize, and poly(acrylic acid) coated nanoparticles. Both types of particles can be rendered fluorescent by the addition of a fluorophore. Finally, we also developed a way to synthesize micro-needles made of aligned maghemite cores encapsulated in a silica layer. In this dataset are presented some electron microscopy images of the optimized particles and their characterizations in terms of sizes and magnetic properties. These particles have then been used by the other members of the Magneuron consortium in order to manipulate different intracellular signalling pathways.
DOI: 10.5281/zenodo.3466610
title: Cp*2Yb(bipym)PdMe2, bis(pentamethyl)ytterbium(bipyrimidine)dimethylpalladium

description: The dataset contains the raw data for the compound Cp*2Yb(bipym)PdMe2
DOI: 10.5281/zenodo.3466611
title: Cp*2Yb(bipym)PdMe2, bis(pentamethyl)ytterbium(bipyrimidine)dimethylpalladium

description: The dataset contains the raw data for the compound Cp*2Yb(bipym)PdMe2
DOI: 10.5281/zenodo.3588249
title: Training data for "Differential exon usage analysis"

description: In RNA-Seq, we usually want to know the differentially expressed genes, as explained in several Galaxy Training Material tutorials. Sometimes,the question is more "which exons are differentially expressed". The process to identify differentially expressed exons is really similar to the one for differentially expressed genes. In this tutorial, we identify exons regulated by the <em>Pasilla</em> gene using RNA-Seq data from Brooks <em>et al.</em> 2011.
DOI: 10.5281/zenodo.3588250
title: Training data for "Differential exon usage analysis"

description: In RNA-Seq, we usually want to know the differentially expressed genes, as explained in several Galaxy Training Material tutorials. Sometimes,the question is more "which exons are differentially expressed". The process to identify differentially expressed exons is really similar to the one for differentially expressed genes. In this tutorial, we identify exons regulated by the <em>Pasilla</em> gene using RNA-Seq data from Brooks <em>et al.</em> 2011.
DOI: 10.14272/qdmaxrjhdmktqh-uhfffaoysa-n.4
title: 4,16-Dibromo[2.2]paracyclophane
title: InChI=1S/C16H14Br2/c17-15-9-11-1-5-13(15)8-4-12-2-6-14(7-3-11)16(18)10-12/h1-2,5-6,9-10H,3-4,7-8H2

description: This dataset contains experimental data from a sample (5,11-dibromotricyclo[8.2.2.2^{4,7}]hexadeca-1(12),4,6,10,13,15-hexaene, InChI=1S/C16H14Br2/c17-15-9-11-1-5-13(15)8-4-12-2-6-14(7-3-11)16(18)10-12/h1-2,5-6,9-10H,3-4,7-8H2). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) infrared absorption spectroscopy (IR) electron ionisation mass spectrometry (EI-MS)
DOI: 10.14272/qdmaxrjhdmktqh-uhfffaoysa-n/chmo0000480
title: electron ionisation mass spectrometry (EI-MS) (5,11-dibromotricyclo[8.2.2.2^{4,7}]hexadeca-1(12),4,6,10,13,15-hexaene)
title: InChI=1S/C16H14Br2/c17-15-9-11-1-5-13(15)8-4-12-2-6-14(7-3-11)16(18)10-12/h1-2,5-6,9-10H,3-4,7-8H2

description: dataset for electron ionisation mass spectrometry (EI-MS) MS (EI, 70 eV, %) m/z = 368/366/364 (20/40/20) [M]+, 184/182 (97/100) [M–C8H7Br]+, 103 (39) [C8H7]+.HRMS (EI, [M]+, C16H1479Br81Br) calc.: 365.9442; found: 363.9442.
DOI: 10.14272/qdmaxrjhdmktqh-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (5,11-dibromotricyclo[8.2.2.2^{4,7}]hexadeca-1(12),4,6,10,13,15-hexaene)
title: InChI=1S/C16H14Br2/c17-15-9-11-1-5-13(15)8-4-12-2-6-14(7-3-11)16(18)10-12/h1-2,5-6,9-10H,3-4,7-8H2

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (101 MHz, CDCl3, ppm) δ = 141.3 (2C, Cq., CAr), 138.7 (2C, Cq., CAr), 137.5 (2C, +, CH, CAr), 134.3 (2C, +, CH, CAr), 128.4 (2C, +, CH, CAr), 126.9 (2C, Cq., CAr–Br) , 35.5 (2C, –, CH2), 33.0 (2C, –, CH2).
DOI: 10.14272/qdmaxrjhdmktqh-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) (5,11-dibromotricyclo[8.2.2.2^{4,7}]hexadeca-1(12),4,6,10,13,15-hexaene)
title: InChI=1S/C16H14Br2/c17-15-9-11-1-5-13(15)8-4-12-2-6-14(7-3-11)16(18)10-12/h1-2,5-6,9-10H,3-4,7-8H2

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, cm–1) ṽ = 2962 (w), 2932 (m), 2888 (w), 2850 (w), 1584 (m), 1536 (m), 1473 (m), 1449 (m), 1432 (w), 1390 (s), 1347 (w), 1313 (w), 1286 (w), 1239 (w), 1186 (m), 1156 (w), 1105 (w), 1030 (vs), 948 (w), 898 (s), 887 (s), 854 (vs), 830 (vs), 772 (m), 705 (vs), 697 (s), 669 (s), 647 (vs), 599 (m), 585 (w), 557 (w), 523 (vs), 465 (vs), 441 (m), 416 (w), 394 (s), 377 (m).
DOI: 10.14272/iaxlqxmtbzstdt-uhfffaoysa-n.1
title: ethyl 4-(3-methyl-1-oxo-1-phenylbut-2-en-2-yl)benzoate
title: InChI=1S/C20H20O3/c1-4-23-20(22)17-12-10-15(11-13-17)18(14(2)3)19(21)16-8-6-5-7-9-16/h5-13H,4H2,1-3H3

description: This dataset contains experimental data from a sample (InChI=1S/C20H20O3/c1-4-23-20(22)17-12-10-15(11-13-17)18(14(2)3)19(21)16-8-6-5-7-9-16/h5-13H,4H2,1-3H3). The datasets from the following experiments are available: infrared absorption spectroscopy (IR) 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) electrospray ionisation quadrupole detection (ESI Q Trap)
DOI: 10.14272/iaxlqxmtbzstdt-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C20H20O3/c1-4-23-20(22)17-12-10-15(11-13-17)18(14(2)3)19(21)16-8-6-5-7-9-16/h5-13H,4H2,1-3H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (500 MHz, CDCl3, ppm) δ = 8.00–7.96 (m, 2H, HAr), 7.96–7.93 (m, 2H, HAr), 7.54–7.49 (m, 1H, HAr), 7.44–7.41 (m, 1H, HAr), 7.41–7.37 (m, 3H, HAr), 4.34 (q, J = 7.1 Hz, 2H, CH2CH3), 1.89 (s, 3H, CH3), 1.80 (s, 3H, CH3), 1.36 (t, J = 7.1 Hz, 3H, CH2CH3). Spectrum contains impurities.
DOI: 10.14272/iaxlqxmtbzstdt-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C20H20O3/c1-4-23-20(22)17-12-10-15(11-13-17)18(14(2)3)19(21)16-8-6-5-7-9-16/h5-13H,4H2,1-3H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (126 MHz, CDCl3, ppm) δ = 198.3 (Cq., CO), 166.3 (Cq., CO), 141.8 (Cq., CAr), 137.1 (Cq., CAr), 136.8 (Cq., CAr), 136.1 (Cq., CAr), 133.3 (2C, +, CH, CAr), 129.7 (2C, +, CH, CAr), 129.6 (+, CH, CAr), 129.2 (2C, +, CH, CAr), 129.2 (Cq., CAr), 128.7 (2C, +, CH, CAr), 61.0 (–, CH2, CH2CH3), 22.7 (+, CH3, CH3), 21.5 (+, CH3, CH3), 14.3 (+, CH3, CH2CH3). Spectrum contains impurities.
DOI: 10.14272/iaxlqxmtbzstdt-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C20H20O3/c1-4-23-20(22)17-12-10-15(11-13-17)18(14(2)3)19(21)16-8-6-5-7-9-16/h5-13H,4H2,1-3H3

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, cm-1) ṽ = 2978 (w), 2946 (w), 2922 (w), 2866 (vw), 1713 (vs), 1662 (s), 1605 (m), 1581 (w), 1509 (w), 1469 (w), 1448 (m), 1402 (w), 1367 (m), 1268 (vs), 1239 (vs), 1176 (s), 1101 (vs), 1043 (w), 1016 (s), 844 (s), 810 (w), 790 (w), 769 (s), 751 (vs), 705 (s), 697 (s), 652 (m), 645 (m), 612 (w), 543 (w), 527 (w), 503 (w), 497 (w), 407 (w), 395 (w).
DOI: 10.14272/iaxlqxmtbzstdt-uhfffaoysa-n/chmo0002337
title: electrospray ionisation quadrupole detection (ESI Q Trap) ()
title: InChI=1S/C20H20O3/c1-4-23-20(22)17-12-10-15(11-13-17)18(14(2)3)19(21)16-8-6-5-7-9-16/h5-13H,4H2,1-3H3

description: dataset for electrospray ionisation quadrupole detection (ESI Q Trap) HRMS (ESI+, [M+H]+, C21H24O2Na) calc.: 309.1419; found: 309.1477.
DOI: 10.14272/qdmaxrjhdmktqh-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (5,11-dibromotricyclo[8.2.2.2^{4,7}]hexadeca-1(12),4,6,10,13,15-hexaene)
title: InChI=1S/C16H14Br2/c17-15-9-11-1-5-13(15)8-4-12-2-6-14(7-3-11)16(18)10-12/h1-2,5-6,9-10H,3-4,7-8H2

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, CDCl3, ppm) δ = 7.14 (dd, J = 7.8 Hz, J = 1.8 Hz, 2H, HAr), 6.51 (d, J = 1.9 Hz, 2H, HAr), 6.44 (d, J = 7.8 Hz, 2H, HAr), 3.49 (ddd, J = 13.1 Hz, J = 10.3 Hz, J = 2.3 Hz, 2H, HPc), 3.16 (ddd, J = 12.6 Hz, J = 10.3 Hz, J = 4.9 Hz, 2H, HPc), 2.95 (td, J = 12.6 Hz, J = 11.7 Hz, J = 2.3 Hz, 2H, HPc), 2.85 (ddd, J = 13.2 Hz, J = 10.7 Hz, J = 4.9 Hz, 2H, HPc).
DOI: 10.17632/x6g8xtfv2j.3
title: Data for: Roles of nucleus accumbens shell and core in footshock-induced stress altering behavioral sensitization by methamphetamine in acquisition and testing

description: The files include two parts. One is nucleus accumbens core and the other is nucleus accumbens shell.
DOI: 10.17632/fdxs7bbwm8.1
title: Details of illegal tickets issued by the Kuwaiti Fishery Protection Authority from 2000 to 2017.

description: the Kuwaiti FPA issued 9,755 for illegal fishing during a period of 16 years. This is an average of 609.7 illegal fishing incidents recorded every year, which seems excessive, but given that most fisher interviewees said they rarely see FPA vessels at sea, and all the illegal fisher interviewees said they had never been caught by the authorities, the number of IUU fishing incidents that the FPA did not report is likely to have been substantial. This shortfall of the FPA is partly explained by its prioritization of safety at sea over fishery monitoring. the total number of tickets issued for IUU fishing between 2001 and 2017 was 9,755, meaning that the FPA issued an average of 573.8 tickets per year, which is three tickets every two days. The proportion of IUU offenses committed by immigrant fishers was 53%, and by Kuwaiti fishers was 45%.
DOI: 10.7910/dvn/suxfdt/cnmv8u
title: mobisite_data_anonymised.Rdata

description: Mobisite
DOI: 10.7910/dvn/suxfdt/kzgbgd
title: anonymised_messaging_dataset.Rdata

description: Normal
DOI: 10.7910/dvn/rjgsdf/dswb5q
title: 8. IRB Approval Letter_CSA_perf - extension 2019 4.pdf

description: :unav
DOI: 10.7910/dvn/rjgsdf/aa4an4
title: 2. UGA_HMA_CC_107_Maize_2018.tab

description: :unav
DOI: 10.7910/dvn/rjgsdf/gwxptq
title: 2. UGA_HMA_CC_108_SweetPotato_2018.tab

description: :unav
DOI: 10.7910/dvn/rjgsdf/i91qui
title: 3. 2018_EA_UGA-HMA_Glossary_Main_CSA_practices.pdf

description: :unav
DOI: 10.7910/dvn/rjgsdf/lmhlc2
title: 1. 2018_EA_UGA-HMA Questionnaire Codified.xls

description: :unav
DOI: 10.7910/dvn/rjgsdf/lpbdre
title: 3. UGA_HMA_AC_98_Pig_2018.tab

description: :unav
DOI: 10.7910/dvn/rjgsdf/lyl3sg
title: 6. 2018_EA_UGA-HMA_PROTOCOL OF CLEANING AND PREPARATION OF DATA FOR ANALYSIS AND PUBLICATION IN REPOSITORY.docx

description: :unav
DOI: 10.7910/dvn/rjgsdf/owvhw1
title: 2. UGA_HMA_CC_111_Banana_2018.tab

description: :unav
DOI: 10.7910/dvn/rjgsdf/rdsbkk
title: 4. 2018_EA_UGA-HMA_Inform Consent.docx

description: :unav
DOI: 10.7910/dvn/rjgsdf/yx03uv
title: 2. UGA_HMA_CC_112_Coffee_2018.tab

description: :unav
DOI: 10.7910/dvn/rjgsdf/1iflq6
title: 3. UGA_HMA_AC_100_Goat_2018.tab

description: :unav
DOI: 10.7910/dvn/rjgsdf/afjw8d
title: 3. UGA_HMA_AC_97_Cattle_2018.tab

description: :unav
DOI: 10.7910/dvn/rjgsdf/afthet
title: 3. UGA_HMA_AC_99_Poultry_2018.tab

description: :unav
DOI: 10.7910/dvn/rjgsdf/arivg1
title: M4_EA_UGA_HMA_cleaned_anonymized.tab

description: :unav
DOI: 10.7910/dvn/rjgsdf/dbongi
title: 1. UGA_HMA_FC_96_data_2018.tab

description: :unav
DOI: 10.7910/dvn/rjgsdf/ekj7k4
title: 2. 2018_EA_UGA-HMA_Questions Tree Short.pdf

description: :unav
DOI: 10.7910/dvn/rjgsdf/q0hyrw
title: M3_EA_UGA_HMA_cleaned_anonymized.tab

description: :unav
DOI: 10.7910/dvn/rjgsdf/vnw5ux
title: 2. UGA_HMA_CC_106_Beans_2018.tab

description: :unav
DOI: 10.7910/dvn/rjgsdf/wbyhcz
title: 7. Minimum Risk Review Application_ME for IDRC_20180628.doc

description: :unav
DOI: 10.14272/isevxpwnzfvrou-uhfffaoysa-n.1
title: C27H23N
title: InChI=1S/C27H23N/c1-2-18-28-27(3-1)25-16-14-24(15-17-25)26-19-22-9-8-20-4-6-21(7-5-20)10-12-23(26)13-11-22/h1-7,11,13-19H,8-10,12H2

description: This dataset contains experimental data from a sample (InChI=1S/C27H23N/c1-2-18-28-27(3-1)25-16-14-24(15-17-25)26-19-22-9-8-20-4-6-21(7-5-20)10-12-23(26)13-11-22/h1-7,11,13-19H,8-10,12H2). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) mass spectrometry (MS) 13C nuclear magnetic resonance spectroscopy (13C NMR)
DOI: 10.14272/isevxpwnzfvrou-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C27H23N/c1-2-18-28-27(3-1)25-16-14-24(15-17-25)26-19-22-9-8-20-4-6-21(7-5-20)10-12-23(26)13-11-22/h1-7,11,13-19H,8-10,12H2

description: dataset for mass spectrometry (MS) HRMS (C27H23N1) calc. 361.1830, found 361.1831.
DOI: 10.14272/isevxpwnzfvrou-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C27H23N/c1-2-18-28-27(3-1)25-16-14-24(15-17-25)26-19-22-9-8-20-4-6-21(7-5-20)10-12-23(26)13-11-22/h1-7,11,13-19H,8-10,12H2

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (500 MHz, Chloroform-d) δ [ppm] = 8.75 (dt, J = 4.8 Hz, J = 1.4 Hz, 1H), 8.12 (d, J = 8.3 Hz, 2H), 7.82 (dt, J = 4.7 Hz, J = 1.6 Hz, 2H), 7.68–7.53 (m, 2H), 7.30–7.27 (m, 1H), 6.69–6.49 (m, 7H), 3.50 (ddd, J = 12.5 Hz, J = 10.0 Hz, J = 2.9 Hz, 1H), 3.24–3.02 (m, 4H), 3.00–2.83 (m, 2H), 2.66 (ddd, J = 13.0 Hz, J = 9.9 Hz, J = 4.6 Hz, 1H).
DOI: 10.14272/isevxpwnzfvrou-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C27H23N/c1-2-18-28-27(3-1)25-16-14-24(15-17-25)26-19-22-9-8-20-4-6-21(7-5-20)10-12-23(26)13-11-22/h1-7,11,13-19H,8-10,12H2

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (101 MHz, CDCl3) δ = 157.3, 149.7, 142.1, 141.4, 139.9, 139.6, 137.7, 137.4, 137.2, 136.1, 133.3, 132.7, 132.5, 132.2, 132.2, 130.3 (2C), 130.0, 127.2 (2C), 122.3, 120.8, 35.7, 35.4, 35.0, 34.4, 27.1.
DOI: 10.7910/dvn/rjgsdf/9ird4z
title: 2. UGA_HMA_CC_105_Cassava_2018.tab

description: :unav
DOI: 10.7910/dvn/rjgsdf/bma55w
title: 2. UGA_HMA_CC_109_Fingermillet_2018.tab

description: :unav
DOI: 10.7910/dvn/rjgsdf/dodak9
title: 2. UGA_HMA_CC_113_Other_2018.tab

description: :unav
DOI: 10.7910/dvn/rjgsdf/kgkzin
title: 9. Final_Enumerators Recordings anonymized_ Hoima_2018.xls

description: :unav
DOI: 10.7910/dvn/rjgsdf/myzxaf
title: 5. Comments on Hoima data cleaning anonimized.xls

description: :unav
DOI: 10.7910/dvn/rjgsdf/qcyn5h
title: M5_EA_UGA_HMA_cleaned_anonymized.tab

description: :unav
DOI: 10.7910/dvn/rjgsdf/vlahma
title: M1_EA_UGA_HMA_cleaned_anonymized.tab

description: :unav
DOI: 10.7910/dvn/rjgsdf/zyfete
title: M0_EA_UGA_HMA_cleaned_anonymized.tab

description: :unav
DOI: 10.5281/zenodo.3588253
title: High seasonal variability in sediment carbon stocks of cold-temperate seagrass meadows

description: Dataset for "High seasonal variability in sediment carbon stocks of cold-temperate seagrass meadows" containing sedimentary carbon and nitrogen data used in the study.
DOI: 10.5281/zenodo.3588254
title: High seasonal variability in sediment carbon stocks of cold-temperate seagrass meadows

description: Dataset for "High seasonal variability in sediment carbon stocks of cold-temperate seagrass meadows" containing sedimentary carbon and nitrogen data used in the study.
DOI: 10.7910/dvn/j31ljt/39bna8
title: 5. 2017_WA_GHA-LAW_Comments_data_cleaning_anonimized.xls

description: :unav
DOI: 10.7910/dvn/j31ljt/dark1w
title: 3. 2017_WA_GHA-LAW_Glossary_Main_CSA_practices.pdf

description: :unav
DOI: 10.7910/dvn/j31ljt/ffw3br
title: 6. Minimum Risk Review Application_ME for IDRC_20180628.doc

description: :unav
DOI: 10.7910/dvn/j31ljt/kjukx6
title: M1_WA_GHHA_LAW_cleaned_anonymized.tab

description: :unav
DOI: 10.7910/dvn/j31ljt/krad90
title: 1. 2017_WA GHA Lawra-Jirapa Questionnaire Codified.xls

description: :unav
DOI: 10.7910/dvn/j31ljt/nknonr
title: M0_WA_GHHA_LAW_cleaned_anonymized.tab

description: :unav
DOI: 10.7910/dvn/j31ljt/pjkcqm
title: M5_WA_GHHA_LAW_cleaned_anonymized.tab

description: :unav
DOI: 10.7910/dvn/j31ljt/qipfvy
title: 4. 2017_WA_GHA-LAW_Inform Consents.docx

description: :unav
DOI: 10.7910/dvn/j31ljt/z3fe4i
title: 2. 2017_WA_GHA-LAW_CCAFS_Monitoring_Survey_Questions_TREE.pdf

description: :unav
DOI: 10.7910/dvn/rjgsdf/yi3pkw
title: M2_EA_UGA_HMA_cleaned_anonymized.tab

description: :unav
DOI: 10.18716/nmrshiftdb2/21453
title: NMR data for (4-iso-propylphenyl) (Z)-1-propenyl ether; (4-iso-propylphenyl) (Z)-prop-1-enyl ether; (p-iso-propylphenyl) (Z)-1-propenyl ether; (p-iso-propylphenyl) (Z)-prop-1-enyl ether; [4-(2-propylphenyl)] (Z)-1-propenyl ether; [4-(2-propylphenyl)] (Z)-prop-1-enyl ether; [p-(2-propylphenyl)] (Z)-1-propenyl ether; [p-(2-propylphenyl)] (Z)-prop-1-enyl ether
DOI: 10.7910/dvn/j31ljt/74ko0w
title: M2_WA_GHHA_LAW_cleaned_anonymized.tab

description: :unav
DOI: 10.7910/dvn/j31ljt/gehjoc
title: M3_WA_GHHA_LAW_cleaned_anonymized.tab

description: :unav
DOI: 10.7910/dvn/j31ljt/ng1waw
title: 7. IRB Approval Letter_CSA_perf - extension 2019.pdf

description: :unav
DOI: 10.7910/dvn/j31ljt/zej0ja
title: M4_WA_GHHA_LAW_cleaned_anonymized.tab

description: :unav
DOI: 10.18716/nmrshiftdb2/21376
title: NMR data for (2,6-dichlorophenyl) (2-propenyl) ether; allyl (2,6-dichlorophenyl) ether
DOI: 10.18716/nmrshiftdb2/21451
title: NMR data for (4-methylphenyl) (Z)-1-prop-1-enyl ether; (4-methylphenyl) (Z)-1-propenyl ether; (p-methylphenyl) (Z)-1-propenyl ether; (p-methylphenyl) (Z)-prop-1-enyl ether; p-tolyl (Z)-1-propenyl ether; p-tolyl (Z)-prop-1-enyl ether
DOI: 10.17632/tnkmrd4dfg.1
title: Data for: Recovery of the benthic bacterial community in coastal abandoned saltern requires over 35 years: a comparative case study in the Yellow Sea
DOI: 10.18716/nmrshiftdb2/21576
title: NMR data for (3-methylphenyl) (1-propenyl) ether; (3-methylphenyl) (prop-1-enyl) ether; (m-methylphenyl) (1-propenyl) ether; (m-tolyl) (1-propenyl) ether
DOI: 10.5281/zenodo.3588244
title: Phenological metrics for Protected Area "WaddenSea", MODIS aqua tile h18v03

description: Phenological metrics derived from satellite data by use of R-package "phenex" (Lange (2017)). NDVI is filtered by modified BISE algorithm (see Viovy (1992)). NDVI curve is modelled with method DLogistic (see Doktor (2017), Lange (2017)). Phenological metrics include: (1) Start of season / green-up (GU); (2) End of season / senescence (SEN); (3) Length of vegetation period (VP); (4) GPP proxy (integral over vegetation period, GSIVI); (5) minimum NDVI (MinNDVI); (6) maximum NDVI (MaxNDVI); (7) day of minimum NDVI as julian date (MinDOY); (8) day of maximum NDVI as julian date (MaxDOY); (9) r-square of modelled NDVI curve; (1)-(4) are derived by using local threshold (LT) and global threshold (GT) method (see Doktor (2017), Lange (2017)). (1)-(6) include mean and standard deviation; References: [Viovy 1992]: Viovy N, Arino O, Belward A (1992) The Best Index Slope Extraction (BISE): A method for reducing noise in NDVI time-series. International Journal of Remote Sensing 13(8):1585–1590; [Doktor 2017]: Doktor D, Lange M (2017) Disparate applicability and broad spatio-temporal satellite resolution affects extracted trends of European spring phenology for 1989-2007. In preparation for Global Ecology and Biogeographie; [Lange 2017]: Lange M, Doktor D (2017) phenex: Auxiliary Functions for Phenological Data Analysis. R package version 1.4-5, https://CRAN.R-project.org/package=phenex, Last accessed on 2017-05-29;
DOI: 10.5281/zenodo.3588245
title: Phenological metrics for Protected Area "WaddenSea", MODIS aqua tile h18v03

description: Phenological metrics derived from satellite data by use of R-package "phenex" (Lange (2017)). NDVI is filtered by modified BISE algorithm (see Viovy (1992)). NDVI curve is modelled with method DLogistic (see Doktor (2017), Lange (2017)). Phenological metrics include: (1) Start of season / green-up (GU); (2) End of season / senescence (SEN); (3) Length of vegetation period (VP); (4) GPP proxy (integral over vegetation period, GSIVI); (5) minimum NDVI (MinNDVI); (6) maximum NDVI (MaxNDVI); (7) day of minimum NDVI as julian date (MinDOY); (8) day of maximum NDVI as julian date (MaxDOY); (9) r-square of modelled NDVI curve; (1)-(4) are derived by using local threshold (LT) and global threshold (GT) method (see Doktor (2017), Lange (2017)). (1)-(6) include mean and standard deviation; References: [Viovy 1992]: Viovy N, Arino O, Belward A (1992) The Best Index Slope Extraction (BISE): A method for reducing noise in NDVI time-series. International Journal of Remote Sensing 13(8):1585–1590; [Doktor 2017]: Doktor D, Lange M (2017) Disparate applicability and broad spatio-temporal satellite resolution affects extracted trends of European spring phenology for 1989-2007. In preparation for Global Ecology and Biogeographie; [Lange 2017]: Lange M, Doktor D (2017) phenex: Auxiliary Functions for Phenological Data Analysis. R package version 1.4-5, https://CRAN.R-project.org/package=phenex, Last accessed on 2017-05-29;
DOI: 10.14469/hpc/6513
title: Spectral data for 2a-2c

description: NMR spectroscopy data for fluoroallyl-boranes, 2a-2c.
DOI: 10.18716/nmrshiftdb2/21577
title: NMR data for (3-ethylphenyl) (1-propenyl) ether; (3-ethylphenyl) (prop-1-enyl) ether; (m-ethylphenyl) (1-propenyl) ether
DOI: 10.18716/nmrshiftdb2/21618
title: NMR data for 5-[(Z)-1-propenyloxy]-1,3-benzodioxole; 5-[(Z)-prop-1-enyloxy]-1,3-benzodioxole
DOI: 10.5281/zenodo.3588335
title: QM7b-T (QCArchive View Formatted)

description: Data curated by the QCArchive team, originally sourced from data.caltech.edu. Small organic molecules with up to 7 heavy atoms corresponding to those in QM7b, thermalized with 350K MD at the B3LYP/6-31g* level of theory. Energies are provided at the HF/cc-pvDZ, HF/cc-pVTZ, MP2/cc-pVTZ, and CCSD(T0)/cc-pVDZ levels of theory. All molecules are neutral singlets. For more information, see http://qcarchive.molssi.org/apps/ml_datasets/.
description: {"references": ["Welborn, M.; Cheng, L. & Miller III, T. F. Transferability in machine learning for electronic structure via the molecular orbital basis. J. Chem. Theory Comput., 2018, 14, 4772-4779. https://pubs.acs.org/doi/abs/10.1021/acs.jctc.8b00636", "Cheng, L.; Welborn, M.; Christensen, A. S. & Miller III, T. F. A universal density matrix functional from molecular orbital-based machine learning: Transferability across organic molecules. J. Chem. Phys., 2019, 150, 131103. https://aip.scitation.org/doi/full/10.1063/1.5088393"]}