cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18419/darus-1410/134
title: 9739_DiFe_plus_3gperl_HS_200_16_30_inc20_T1_T2_100_5db_3439.DSC

description: :unav
DOI: 10.18419/darus-1410/133
title: Fe2_DCM_Toluol_1mM_He1_10K_12279_3500_200ms.dat

description: :unav
DOI: 10.18419/darus-1410/132
title: rephase.m

description: :unav
DOI: 10.18419/darus-1410/131
title: Fe2_DCM_Toluol_1mM_He2_70K_12468_3500_2ms.dat

description: :unav
DOI: 10.18419/darus-1410/130
title: Fc+_50K.txt

description: :unav
DOI: 10.18419/darus-1410/129
title: Devis_ENDOR_9751_200_400_500_15K_srt_10000_60MHz_11804.DTA

description: :unav
DOI: 10.18419/darus-1410/128
title: Vgl_Fc+.py

description: :unav
DOI: 10.18419/darus-1410/127
title: Simulation_ENDOR_Xband.m

description: :unav
DOI: 10.18419/darus-1410/126
title: 0equiv

description: :unav
DOI: 10.18419/darus-1410/125
title: 9739_DiFe_plus_3gperl_HS_136_16_30_inc20_T1_T2_100_6db_3439.DTA

description: :unav
DOI: 10.18419/darus-1410/124
title: 9739_DiFe_plus_3gperl_HS_200_16_30_inc20_T1_T2_100_5db_3544.DTA

description: :unav
DOI: 10.18419/darus-1410/123
title: SI_22_HYSCORE_DiFeplus_1HlowfieldSim.png

description: :unav
DOI: 10.18419/darus-1410/122
title: simulation_180GHz.dat

description: :unav
DOI: 10.18419/darus-1410/121
title: SQUID_sumchi.py

description: :unav
DOI: 10.18419/darus-1410/120
title: Hys3fft.m

description: :unav
DOI: 10.18419/darus-1410/119
title: 14_MW_20180904_DiFeox1sol_XB_SP_140K_probeweiterdraussen_5reps.spc

description: :unav
DOI: 10.18419/darus-1410/118
title: SI_21_HYSCORE_DiFeplus_13CmidfieldSim.png

description: :unav
DOI: 10.18419/darus-1410/117
title: 12_MW_20180904_DiFeox1sol_XB_SP_120K_3reps.spc

description: :unav
DOI: 10.18419/darus-1410/116
title: Fe2_DCM_Toluol_1mM_T1_15K_12468_3500_25ms.dat

description: :unav
DOI: 10.18419/darus-1410/115
title: Fe2_DCM_Toluol_1mM_T1_70K_12468_3500_2ms.dat

description: :unav
DOI: 10.18419/darus-1410/114
title: 05_MW_20180904_DiFeox1sol_XB_SP_41K.spc

description: :unav
DOI: 10.18419/darus-1410/113
title: ox-235K-MossWin_Versuch1.txt

description: :unav
DOI: 10.18419/darus-1410/112
title: 182 DiFe P2 MCD 20190528 FE 380nm 0pm10to0T 1p5K 2nmBW 1sAg 1Tm 3260.dat

description: :unav
DOI: 10.18419/darus-1410/111
title: Simulation_ENDOR_Qband.m

description: :unav
DOI: 10.18419/darus-1410/110
title: 10T subtracted.dat

description: :unav
DOI: 10.18419/darus-1410/109
title: Fc+_80K.txt

description: :unav
DOI: 10.18419/darus-1410/108
title: Devis_9751_6gl_diFe_plus_32_16_3448.9_10K.DTA

description: :unav
DOI: 10.18419/darus-1410/107
title: DiFe2 P2 MCD 20190527 FE VIS 5T 5K SUB.txt

description: :unav
DOI: 10.18419/darus-1410/106
title: Fe2_DCM_Toluol_1mM_T1_40K_12468_3500_2ms.dat

description: :unav
DOI: 10.18419/darus-1410/105
title: fe2co9.txt

description: :unav
DOI: 10.18419/darus-1410/104
title: dppf.txt

description: :unav
DOI: 10.18419/darus-1410/103
title: 14equiv

description: :unav
DOI: 10.18419/darus-1410/102
title: subplotsHYSCOREFFT.m

description: :unav
DOI: 10.18419/darus-1410/101
title: Fe2_DCM_Toluol_1mM_S7_50K_12to13kG_3500_2ms.dat

description: :unav
DOI: 10.18419/darus-1410/100
title: Fe2_DCM_Toluol_1mM_He2_40K_12468_3500_2ms.dat

description: :unav
DOI: 10.18419/darus-1410/99
title: SI_21_HYSCORE_DiFeplus_13ClowfieldSim.png

description: :unav
DOI: 10.18419/darus-1410/98
title: Plotting_Xband_solution_TempDep_Low2High.m

description: :unav
DOI: 10.18419/darus-1410/97
title: DiFe_Xband_TempDep.txt

description: :unav
DOI: 10.18419/darus-1410/96
title: SI_22_HYSCORE_DiFeplus_1HmidfieldSim.png

description: :unav
DOI: 10.18419/darus-1410/95
title: ox-50K-MossWin_Versuch1.txt

description: :unav
DOI: 10.18419/darus-1410/94
title: 9739_DiFe_plus_3gperl_HS_200_16_30_inc20_T1_T2_100_5db_3439.DTA

description: :unav
DOI: 10.18419/darus-1410/93
title: 13_MW_20180904_DiFeox1sol_XB_SP_140K_probeweiterdraussen.par

description: :unav
DOI: 10.18419/darus-1410/92
title: DiFe2 P2 MCD 20190527 FE VIS 5T 116K SUB.txt

description: :unav
DOI: 10.18419/darus-1410/91
title: 10equiv

description: :unav
DOI: 10.18419/darus-1410/90
title: Fe2_DCM_Toluol_1mM_S4_20K_12to13kG_3500_10ms.dat

description: :unav
DOI: 10.18419/darus-1410/89
title: MCD_Sweep_V2 and fit 380.py

description: :unav
DOI: 10.18419/darus-1410/88
title: 11_MW_20180904_DiFeox1sol_XB_SP_120K.spc

description: :unav
DOI: 10.18419/darus-1410/87
title: FeCO3PPh32.txt

description: :unav
DOI: 10.18419/darus-1410/86
title: 03_(dppf)Fe(CO)3_000K_375GHz_15-00T_000mA_phased.dat

description: :unav
DOI: 10.18419/darus-1410/85
title: HYSCOREFFT.m

description: :unav
DOI: 10.18419/darus-1410/84
title: dppfFeCO3.txt

description: :unav
DOI: 10.18419/darus-1410/83
title: 07_MW_20180904_DiFeox1sol_XB_SP_60K.spc

description: :unav
DOI: 10.18419/darus-1410/82
title: 07_(dppf)Fe(CO)3_000K_375GHz_15-00T_000mA_phased.dat

description: :unav
DOI: 10.18419/darus-1410/81
title: 9739_DiFe_plus_3gperl_HS_136_16_30_inc20_T1_T2_100_3.10db_3505.DSC

description: :unav
DOI: 10.18419/darus-1410/80
title: Fc+_RT.txt

description: :unav
DOI: 10.18419/darus-1410/79
title: Devis_9751_6gl_diFe_plus_32_16_3448.9_10K.DSC

description: :unav
DOI: 10.18419/darus-1410/78
title: 9739_DiFe_plus_3gperl_HS_200_16_30_inc20_T1_T2_100_5db_3544.DSC

description: :unav
DOI: 10.18419/darus-1410/77
title: HFEPR.py

description: :unav
DOI: 10.18419/darus-1410/76
title: Plotting.py

description: :unav
DOI: 10.18419/darus-1410/75
title: Fe2_DCM_Toluol_1mM_T1_50K_12468_3500_2ms.dat

description: :unav
DOI: 10.18419/darus-1410/74
title: midfield_mess.txt

description: :unav
DOI: 10.18419/darus-1410/73
title: 04_MW_20180904_DiFeox1sol_XB_SP_22K.par

description: :unav
DOI: 10.18419/darus-1410/72
title: Fe2_DCM_Toluol_1mM_T1_30K_12468_3500_2ms.dat

description: :unav
DOI: 10.18419/darus-1410/71
title: S9_DiFe.m

description: :unav
DOI: 10.18419/darus-1410/69
title: midfield_sim.txt

description: :unav
DOI: 10.18419/darus-1410/68
title: ox-90K-MossWin_Versuch1.txt

description: :unav
DOI: 10.18419/darus-1410/67
title: FcBArF4 P2 MCD 20190523 FE NIR 0p1T 1p5K SUB.txt

description: :unav
DOI: 10.18419/darus-1410/66
title: Devis_9751_6gl_diFe_plus_32_16_3515_10K.DSC

description: :unav
DOI: 10.18419/darus-1410/65
title: Plotting.py

description: :unav
DOI: 10.18419/darus-1410/64
title: Mossbauer_OxState.py

description: :unav
DOI: 10.18419/darus-1410/63
title: simulation.dat

description: :unav
DOI: 10.18419/darus-1410/62
title: 9739_DiFe_plus_3gperl_HS_200_16_30_inc16_T1_T2_100_6db_3504.7.DTA

description: :unav
DOI: 10.18419/darus-1410/61
title: DiFe2 P2 MCD 20190527 FE VIS 5T 1p5K SUB.txt

description: :unav
DOI: 10.18419/darus-1410/60
title: 12_MW_20180904_DiFeox1sol_XB_SP_120K_3reps.par

description: :unav
DOI: 10.18419/darus-1410/59
title: midfield_sim.txt

description: :unav
DOI: 10.18419/darus-1410/58
title: Fe2_DCM_Toluol_1mM_S3_10K_12to13kG_3500_2ms.dat

description: :unav
DOI: 10.18419/darus-1410/57
title: 05_MW_20180904_DiFeox1sol_XB_SP_41K.par

description: :unav
DOI: 10.18419/darus-1410/56
title: 09_MW_20180904_DiFeox1sol_XB_SP_80K.par

description: :unav
DOI: 10.18419/darus-1410/55
title: 10_MW_20180904_DiFeox1sol_XB_SP_100K.spc

description: :unav
DOI: 10.18419/darus-1410/54
title: 03_MW_20180904_DiFeox1sol_XB_SP_16K.par

description: :unav
DOI: 10.18419/darus-1410/53
title: 07_MW_20180904_DiFeox1sol_XB_SP_60K.par

description: :unav
DOI: 10.18419/darus-1410/52
title: ED_9751_20_40_250_15K_srt_10000.DSC

description: :unav
DOI: 10.18419/darus-1410/51
title: CV_Eu.py

description: :unav
DOI: 10.18419/darus-1410/50
title: Fe2_DCM_Toluol_1mM_He2_25K_12468_3500_2ms.dat

description: :unav
DOI: 10.18419/darus-1410/49
title: Fe2_DCM_Toluol_1mM_T1_15K_12279_3500_20ms.dat

description: :unav
DOI: 10.18419/darus-1410/48
title: diFe_AC_Feld.dat

description: :unav
DOI: 10.18419/darus-1410/47
title: QBand_ESE.py

description: :unav
DOI: 10.18419/darus-1410/46
title: simulation_230GHz.dat

description: :unav
DOI: 10.18419/darus-1410/45
title: Devis_ENDOR_9751_200_400_500_15K_srt_10000_60MHz_12006.DSC

description: :unav
DOI: 10.18419/darus-1410/44
title: 98_MW_20180904_DiFeox1sol_XB_SP_9K.par

description: :unav
DOI: 10.18419/darus-1410/43
title: ED_9751_6gl_diFe_plus_16_32_200_10K.DTA

description: :unav
DOI: 10.18419/darus-1410/42
title: 7T subtracted.dat

description: :unav
DOI: 10.18419/darus-1410/41
title: 06_MW_20180904_DiFeox1sol_XB_SP_41K.par

description: :unav
DOI: 10.18419/darus-1410/40
title: 6equiv

description: :unav
DOI: 10.18419/darus-1410/39
title: 16equiv

description: :unav
DOI: 10.18419/darus-1410/38
title: Fe2_DCM_Toluol_1mM_T1_20K_12468_3500_15ms.dat

description: :unav
DOI: 10.18419/darus-1410/37
title: S16_Simulation_ESE_QBand.m

description: :unav
DOI: 10.18419/darus-1410/36
title: Fe2_DCM_Toluol_1mM_He2_40K_12279_3500_2ms.dat

description: :unav
DOI: 10.18419/darus-1410/35
title: lowfield_sim.txt

description: :unav
DOI: 10.18419/darus-1410/34
title: Fe2_DCM_Toluol_1mM_He2_50K_12279_3500_2ms.dat

description: :unav
DOI: 10.18419/darus-1410/33
title: XRay.py

description: :unav
DOI: 10.18419/darus-1410/32
title: Background_380-nosample.txt

description: :unav
DOI: 10.18419/darus-1410/31
title: 01_MW_20180904_DiFeox1sol_XB_SP_RT.par

description: :unav
DOI: 10.18419/darus-1410/30
title: Fe2_DCM_Toluol_1mM_T1_25K_12468_3500_3ms.dat

description: :unav
DOI: 10.18419/darus-1410/29
title: ED_9751_20_40_250_15K_srt_10000.DTA

description: :unav
DOI: 10.18419/darus-1410/27
title: SQUID.py

description: :unav
DOI: 10.18419/darus-1410/28
title: 9739_DiFe_plus_3gperl_HS_136_16_30_inc20_T1_T2_100_5db_3544.DTA

description: :unav
DOI: 10.18419/darus-1410/26
title: Fe2_DCM_Toluol_1mM_He2_20K_12279_3500_6ms.dat

description: :unav
DOI: 10.18419/darus-1410/25
title: Hys3fft.m

description: :unav
DOI: 10.18419/darus-1410/24
title: FcBArF4 P2 MCD 20190520 FE VIS 5T 1p5K SUB.txt

description: :unav
DOI: 10.18419/darus-1410/23
title: DiFe2 P2 MCD 20190527 FE VIS 5T 10K SUB.txt

description: :unav
DOI: 10.18419/darus-1410/22
title: dppf.txt

description: :unav
DOI: 10.18419/darus-1410/21
title: Devis_9751_6gl_diFe_plus_32_16_3559_10K.DTA

description: :unav
DOI: 10.18419/darus-1410/20
title: XBandENDOR.py

description: :unav
DOI: 10.18419/darus-1410/19
title: 03_9751_DiFe_DCMTol_50K_EDFS_20-400-40_12007G_33-596397GHz.DTA

description: :unav
DOI: 10.18419/darus-1410/18
title: 33_(dppf)Fe(CO)3_300K_375GHz_15-00T_000mA_phased.dat

description: :unav
DOI: 10.18419/darus-1410/17
title: QBandENDOR.py

description: :unav
DOI: 10.18419/darus-1410/16
title: DiFe2 P2 MCD 20190527 FE VIS 5T 50K SUB.txt

description: :unav
DOI: 10.18419/darus-1410/15
title: DiFe_cw_XBand_sim.txt

description: :unav
DOI: 10.18419/darus-1410/14
title: lowfield_mess.txt

description: :unav
DOI: 10.18419/darus-1410/13
title: distfromT_m.m

description: :unav
DOI: 10.18419/darus-1410/12
title: DiFe_HFEPR_simulations.dat

description: :unav
DOI: 10.18419/darus-1410/11
title: Devis_9751_6gl_diFe_plus_256_128_3559_10K.DSC

description: :unav
DOI: 10.18419/darus-1410/10
title: 01_(dppf)Fe(CO)3_000K_375GHz_15-00T_000mA_phased.dat

description: :unav
DOI: 10.18419/darus-1410/9
title: ox-7K-MossWin_Versuch1.txt

description: :unav
DOI: 10.18419/darus-1410/8
title: ox-10K-MossWin_Versuch1.txt

description: :unav
DOI: 10.18419/darus-1410/6
title: 2equiv

description: :unav
DOI: 10.18419/darus-1410/7
title: FcBArF4 P1 MCD 20190515 MW NIR 5T 1p5K SUB.txt

description: :unav
DOI: 10.18419/darus-1410/5
title: DiFeOx3 Prob1 MCD 20190423 FE VIS 5T 1p5K SUB.dat

description: :unav
DOI: 10.18419/darus-1410/3
title: Devis_ENDOR_9751_200_400_500_15K_srt_10000_60MHz_12006.DTA

description: :unav
DOI: 10.18419/darus-1410/4
title: Fc+_10K.txt

description: :unav
DOI: 10.18419/darus-1410/2
title: Fc+_5K.txt

description: :unav
DOI: 10.18419/darus-1410/1
title: 2p5T subtracted.dat

description: :unav
DOI: 10.6084/m9.figshare.14703636
title: Data_Rat_Observations_Per_Week

description: This folder contains the Excel file Rat_Observations_Per_Week,which gives an overview of the brown rat observations per week per camerafor the duration of the five week data collection period in Flevopark in Amsterdam, the Netherlands (24/03/2021 - 27/04/2021).This overview was created by manually going through all the collected data and counting the number of rats per camera per week. Photos that were taken less than thirty minutes apart will be assumed to represent a single individual and therefore a single observation unless different individuals could be identified with certainty.
DOI: 10.6084/m9.figshare.14703636.v1
title: Data_Rat_Observations_Per_Week

description: This folder contains the Excel file Rat_Observations_Per_Week,which gives an overview of the brown rat observations per week per camerafor the duration of the five week data collection period in Flevopark in Amsterdam, the Netherlands (24/03/2021 - 27/04/2021).This overview was created by manually going through all the collected data and counting the number of rats per camera per week. Photos that were taken less than thirty minutes apart will be assumed to represent a single individual and therefore a single observation unless different individuals could be identified with certainty.
DOI: 10.3886/e117623v1-87720
title: Data and Code for: Spousal (dis)agreement in reporting of intimate partner violence in Kenya

description: We investigate differences in spousal reports of intimate partner violence (IPV) against women and men using a sample of 800 couples in rural Kenya. We find that up to one-third of couples disagree, but that disagreement varies by violence type and victim’s gender. We study the role of gender attitudes in explaining this heterogeneity. We find that couples with more gender-unequal attitudes are more likely to agree on violence against women and less likely to agree on violence against men. This suggests that gender norms govern reporting by the victim. Thus, discrepancies may result even if perpetrators report accurately.
description: Reportings from husband and wife in same household.
DOI: 10.5281/zenodo.4875691
title: Parastichopus californicus genome assembly and mitochondrion

description: .
DOI: 10.5281/zenodo.4875690
title: Parastichopus californicus genome assembly and mitochondrion

description: .
DOI: 10.5281/zenodo.4841813
title: Supplementary data for FMICS 2021 publication "A Case Study in Formal Analysis of System Requirements"

description: Supplementary data for FMICS 2021 publication "A Case Study in Formal Analysis of System Requirements": UMC, ProB, LNT Models, SECURail Deliverables Translation Tools (source code)
DOI: 10.5281/zenodo.4756862
title: Supplementary data for FMICS 2021 publication "A Case Study in Formal Analysis of System Requirements"

description: Supplementary data for FMICS 2021 publication "A Case Study in Formal Analysis of System Requirements": UMC, ProB, LNT Models, SECURail Deliverables Translation Tools (source code)
DOI: 10.5281/zenodo.4841277
title: Data for the article on "Grammatical and contextual factors in the interpretation and acquisition of superordinate collectives in Mandarin Chinese", published in Linguistics: An Interdisciplinary Journal of the Language Sciences

description: The file contains the data underlying the quantitative analysis of the study
DOI: 10.5281/zenodo.4841276
title: Data for the article on "Grammatical and contextual factors in the interpretation and acquisition of superordinate collectives in Mandarin Chinese", published in Linguistics: An Interdisciplinary Journal of the Language Sciences

description: The file contains the data underlying the quantitative analysis of the study
DOI: 10.5281/zenodo.4841179
title: COVID-19 Vaccine Tweets in Turkish

description: This dataset contains the Turkish tweets that are collected with the keyword 'aşı' (vaccine in Turkish) by using Twitter Academic API. The time interval of tweets is 2020-08-20 - 2021-03-17 for now. The new versions will be more up-to-date and will be classified monthly folders.
DOI: 10.5281/zenodo.4818589
title: Clinical and biochemical characteristics of COVID(+) and COVID(-) patients with hyperglycemic crisis: a cross-sectional study

description: A cross-sectional study was conducted with 82 patients admitted to an urban academic medical center in Philadelphia, PA, USA between March 1<sup>st</sup> and July 30<sup>th</sup>, 2020. Data were collected by computer query and manual review of electronic health records. Patients met lab criteria for either DKA (serum bicarbonate ≤18 mEq/L, anion gap &gt;10, ketonemia or ketonuria, and arterial pH ≤7.30), or HHS (blood glucose &gt; 33.3 mmol/L and osmolality &gt; 320 mOsm/kg).[7] Mixed DKA-HHS was defined as meeting all criteria for either DKA or HHS with at least 1 criterion for the other diagnosis. Diagnoses were adjudicated by an endocrinologist.
DOI: 10.5281/zenodo.4818588
title: Clinical and biochemical characteristics of COVID(+) and COVID(-) patients with hyperglycemic crisis: a cross-sectional study

description: A cross-sectional study was conducted with 82 patients admitted to an urban academic medical center in Philadelphia, PA, USA between March 1<sup>st</sup> and July 30<sup>th</sup>, 2020. Data were collected by computer query and manual review of electronic health records. Patients met lab criteria for either DKA (serum bicarbonate ≤18 mEq/L, anion gap &gt;10, ketonemia or ketonuria, and arterial pH ≤7.30), or HHS (blood glucose &gt; 33.3 mmol/L and osmolality &gt; 320 mOsm/kg).[7] Mixed DKA-HHS was defined as meeting all criteria for either DKA or HHS with at least 1 criterion for the other diagnosis. Diagnoses were adjudicated by an endocrinologist.
DOI: 10.5281/zenodo.4818292
title: Biophysical characterization of the SARS-CoV-2 E protein

description: Molecular dynamics simulations of E protein of SARS-COV-2. - CG: coarse-grained simulations for Figure 3 - AA_unbiased: atomistic simulations for Table S1 - AA_AWH: AWH simulations for Figure 5
DOI: 10.5281/zenodo.4818291
title: Biophysical characterization of the SARS-CoV-2 E protein

description: Molecular dynamics simulations of E protein of SARS-COV-2. - CG: coarse-grained simulations for Figure 3 - AA_unbiased: atomistic simulations for Table S1 - AA_AWH: AWH simulations for Figure 5
DOI: 10.5281/zenodo.4818208
title: Concepts and services for the homogenization and management of file structures in collaborative neuroscientific projects

description: This data set belongs to a joint project carried out by three neuroscientific Collaborative Research Centres (CRC/TRR 135, CRC 1315 and CRC 1158) with the support of the NFDI Neuroscience initiative with the aim of creating a homogeneous project structure. Two initial templates that had been created after analysing the research workflows within the CRCs (https://doi.org/10.5281/zenodo.3987767) were evaluated in a CRC-wide online survey. This data set consists of the Jupyter-Notebook-based evaluation of the survey specific to the CRC/TRR 135 on the one hand and the corresponding data on the other hand. The data set supplements the project poster presented at E-Science Tage 2021 (https://doi.org/10.11588/heidok.00029718). Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project number 222641018 – SFB/TRR 135 TP INF.
DOI: 10.5281/zenodo.4818207
title: Concepts and services for the homogenization and management of file structures in collaborative neuroscientific projects

description: This data set belongs to a joint project carried out by three neuroscientific Collaborative Research Centres (CRC/TRR 135, CRC 1315 and CRC 1158) with the support of the NFDI Neuroscience initiative with the aim of creating a homogeneous project structure. Two initial templates that had been created after analysing the research workflows within the CRCs (https://doi.org/10.5281/zenodo.3987767) were evaluated in a CRC-wide online survey. This data set consists of the Jupyter-Notebook-based evaluation of the survey specific to the CRC/TRR 135 on the one hand and the corresponding data on the other hand. The data set supplements the project poster presented at E-Science Tage 2021 (https://doi.org/10.11588/heidok.00029718). Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project number 222641018 – SFB/TRR 135 TP INF.
DOI: 10.5281/zenodo.4805258
title: Rapid classification of COVID-19 severity by ATR-FTIR Spectros-copy of plasma samples

description: In this study, we investigated the potential of Attenuated Total Reflectance Fourier-Transform Infrared (ATR-FTIR) spectroscopy on SARS-CoV-2 plasma samples. An algorithm such as partial least squares-discriminant analysis (PLS-DA) was used to build the model and tested using data from 130 and 30 patients, respectively. Key clinical parameters (age, sex, diabetes mellitus and hypertension) were also included which resulted in area under the ROC curve (C statistics) for both the training and test datasets 85.7% (78.6-92.8%), and 85.1% (71.3-98.8%), respectively. The test result showed 69.2% specificity (42.4-87.3%) and 94.1% sensitivity (73.0-99.0%). Diabetes mellitus was the strongest predictor in the model, followed by FTIR regions 1020-1090 cm-1 and 1588-1592 cm-1. In summary, this study demonstrates the potential of ATR-FTIR spectroscopy as a rapid, low-cost COVID-19 severity triage tool to facilitate COVID-19 patient management during an outbreak.
DOI: 10.5281/zenodo.4805257
title: Rapid classification of COVID-19 severity by ATR-FTIR Spectros-copy of plasma samples

description: In this study, we investigated the potential of Attenuated Total Reflectance Fourier-Transform Infrared (ATR-FTIR) spectroscopy on SARS-CoV-2 plasma samples. An algorithm such as partial least squares-discriminant analysis (PLS-DA) was used to build the model and tested using data from 130 and 30 patients, respectively. Key clinical parameters (age, sex, diabetes mellitus and hypertension) were also included which resulted in area under the ROC curve (C statistics) for both the training and test datasets 85.7% (78.6-92.8%), and 85.1% (71.3-98.8%), respectively. The test result showed 69.2% specificity (42.4-87.3%) and 94.1% sensitivity (73.0-99.0%). Diabetes mellitus was the strongest predictor in the model, followed by FTIR regions 1020-1090 cm-1 and 1588-1592 cm-1. In summary, this study demonstrates the potential of ATR-FTIR spectroscopy as a rapid, low-cost COVID-19 severity triage tool to facilitate COVID-19 patient management during an outbreak.
DOI: 10.5281/zenodo.4817326
title: Supporting dataset for: Common mechanisms explain nitrogen-dependent growth of Arctic shrubs over three decades despite heterogeneous trends and declines in soil nitrogen availability

description: Supporting dataset required for the analyses undertaken in: Common mechanisms explain nitrogen-dependent growth of Arctic shrubs over three decades despite heterogeneous trends and declines in soil nitrogen availability [accepted for publication in New Phytologist on 20th May 2021].
DOI: 10.5281/zenodo.4817325
title: Supporting dataset for: Common mechanisms explain nitrogen-dependent growth of Arctic shrubs over three decades despite heterogeneous trends and declines in soil nitrogen availability

description: Supporting dataset required for the analyses undertaken in: Common mechanisms explain nitrogen-dependent growth of Arctic shrubs over three decades despite heterogeneous trends and declines in soil nitrogen availability [accepted for publication in New Phytologist on 20th May 2021].
DOI: 10.5281/zenodo.4813117
title: Orexin neuron activity in mating mice - pilot imaging data

description: Dataset from article 10.35430/nab.2021.e17 "Orexin neuron activity in mating mice - a pilot study" by Denis Burdakov and Mahesh Karnani, published in Neuroanatomy and Behaviour
DOI: 10.5281/zenodo.4813116
title: Orexin neuron activity in mating mice - pilot imaging data

description: Dataset from article 10.35430/nab.2021.e17 "Orexin neuron activity in mating mice - a pilot study" by Denis Burdakov and Mahesh Karnani, published in Neuroanatomy and Behaviour