cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7483/opendata.cms.nsa0.2nq7
title: /X0ToUpsilonJPsi_M-13p0_TuneCP5_v2_13TeV-JHUGen-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.13021/orc2020/qsn50q/rtmiea
title: V4W_42.bag
DOI: 10.13021/orc2020/qsn50q/pkkorx
title: V4W_40.bag
DOI: 10.13021/orc2020/qsn50q/j8b85y
title: V4W_9.bag
DOI: 10.7483/opendata.cms.hynr.z858
title: /X0ToUpsilonJPsi_M-13p0_TuneCP5_v2_13TeV-JHUGen-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.13021/orc2020/qsn50q/wflluf
title: V4W_38.bag
DOI: 10.13021/orc2020/qsn50q/f4o85p
title: V4W_60.bag
DOI: 10.13021/orc2020/qsn50q/ucrgj8
title: V4W_3.bag
DOI: 10.7483/opendata.cms.uvgm.lgdd
title: /X0ToUpsilonJPsi_M-13p2_TuneCP5_13TeV-JHUGen-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.13021/orc2020/qsn50q/yl9bde
title: V4W_28.bag
DOI: 10.13021/orc2020/qsn50q/ywnamy
title: V4W_2.bag
DOI: 10.7483/opendata.cms.h0bg.zugo
title: /X0ToUpsilonJPsi_M-13p2_TuneCP5_13TeV-JHUGen-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.13021/orc2020/qsn50q/q5balx
title: V4W_25.bag
DOI: 10.13021/orc2020/qsn50q/hhfdoi
title: V4W_29.bag
DOI: 10.7483/opendata.cms.dzxt.ihqz
title: /X0ToUpsilonJPsi_M-13p2_TuneCP5_v2_13TeV-JHUGen-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.13021/orc2020/qsn50q/qwskmd
title: V4W_15.bag
DOI: 10.13021/orc2020/qsn50q/ttbyqx
title: V4W_12.bag
DOI: 10.13021/orc2020/qsn50q/jfxpe8
title: V4W_1.bag
DOI: 10.13021/orc2020/qsn50q/csquqv
title: V4W_21.bag
DOI: 10.7483/opendata.cms.xu19.jbum
title: /X0ToUpsilonJPsi_M-13p2_TuneCP5_v2_13TeV-JHUGen-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.13021/orc2020/qsn50q/3tqqsm
title: V4W_58.bag
DOI: 10.13021/orc2020/qsn50q/hu9zgb
title: V4W_36.bag
DOI: 10.7483/opendata.cms.adrj.5yn7
title: /X0ToUpsilonJPsi_M-13p4_TuneCP5_13TeV-JHUGen-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.13021/orc2020/qsn50q/qrxt8m
title: V4W_19.bag
DOI: 10.13021/orc2020/qsn50q/xxali3
title: V4W_8.bag
DOI: 10.13021/orc2020/qsn50q/e7siph
title: V4W_7.bag
DOI: 10.7483/opendata.cms.m92k.9lst
title: /X0ToUpsilonJPsi_M-13p4_TuneCP5_13TeV-JHUGen-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.13021/orc2020/qsn50q/krbuxh
title: V4W_59.bag
DOI: 10.13021/orc2020/qsn50q/ptg31b
title: V4W_24.bag
DOI: 10.7483/opendata.cms.pz1d.1qje
title: /X0ToUpsilonJPsi_M-13p4_TuneCP5_v2_13TeV-JHUGen-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.13021/orc2020/qsn50q/2saibb
title: V4W_61.bag
DOI: 10.13021/orc2020/qsn50q/5mevoa
title: V4W_44.bag
DOI: 10.7483/opendata.cms.fmgs.0ifj
title: /X0ToUpsilonJPsi_M-13p4_TuneCP5_v2_13TeV-JHUGen-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.13021/orc2020/qsn50q/ba7k6g
title: V4W_45.bag
DOI: 10.7483/opendata.cms.6sd5.41lg
title: /X0ToUpsilonJPsi_M-13p6_TuneCP5_13TeV-JHUGen-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.13021/orc2020/qsn50q/x9bkum
title: V4W_16.bag
DOI: 10.15468/45crz3
title: Hymenopteran parasitoids of European gall midges

description: The dataset comprises occurrence and host records of hymenopteran parasitoids associated with gall midges (Cecidomyiidae, subfam. Cecidomyiinae) in Europe. It comprises data obtained by a range rearing techniques, incl. rearing adult wasps from parasitoid larvae extracted from galls, directly from parasitized gall midge larvae within galls or from gall midge larvae transferred to soil to pupate there, in many cases after hibernation. Documentation of rearing techniques and results are found in Bruun et al. (2024).
DOI: 10.15468/dl.ju8kzs
title: Occurrence Download

description: A dataset containing 12904 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Crotalaria pallida Aiton, Crotalaria albida B.Heyne ex Roth, Crotalaria uncinella Lam., Crotalaria novae-hollandiae subsp. novae-hollandiae, Crotalaria ramosissima Roxb., Crotalaria juncea L., Crotalaria medicaginea var. neglecta (Wight & Arn.) Baker, Crotalaria dissitiflora subsp. benthamiana (E.Pritz.) A.E.Holland, Crotalaria cunninghamii subsp. sturtii (R.Br.) A.E.Holland, Wiborgia obcordata Thunb., Rafnia capensis (L.) Schinz)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12904 records from 356 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072773-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28219862
title: Supplementary Material from Development of compounds for targeted degradation of mammalian cryptochrome proteins

description: Tables S1-4.xlsx
DOI: 10.6084/m9.figshare.28219868.v1
title: Supplementary Material from Development of compounds for targeted degradation of mammalian cryptochrome proteins

description: Table S6.xlsx
DOI: 10.6084/m9.figshare.28219874.v1
title: Supplementary Material from Development of compounds for targeted degradation of mammalian cryptochrome proteins

description: Table S5.xlsx
DOI: 10.15468/dl.v4bz9j
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Impatiens ethiopica Grey-Wilson"
 ]
}

 The dataset includes 50 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072774-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28219880.v1
title: Supplementary Material from Development of compounds for targeted degradation of mammalian cryptochrome proteins

description: Raw_data_and_analysis_for_Munns_et_al_2024.xlsx
DOI: 10.13021/orc2020/qsn50q/8qdvfo
title: V4W_26.bag
DOI: 10.7483/opendata.cms.xaqw.semp
title: /X0ToUpsilonJPsi_M-13p6_TuneCP5_13TeV-JHUGen-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.13021/orc2020/qsn50q/06xlxe
title: V4W_31.bag
DOI: 10.13021/orc2020/qsn50q/2iecje
title: V4W_50.bag
DOI: 10.13021/orc2020/qsn50q/x1hquf
title: V4W_10.bag
DOI: 10.34740/kaggle/dsv/10488941
title: Mahanagar Yatayat Transport Dataset
DOI: 10.7483/opendata.cms.k8zo.7zgc
title: /X0ToUpsilonJPsi_M-13p6_TuneCP5_v2_13TeV-JHUGen-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.13021/orc2020/qsn50q/7pertg
title: V4W_62.bag
DOI: 10.13021/orc2020/qsn50q/w6nuez
title: V4W_43.bag
DOI: 10.13021/orc2020/qsn50q/qzj2tz
title: V4W_64.bag
DOI: 10.7483/opendata.cms.ek14.0oox
title: /X0ToUpsilonJPsi_M-13p6_TuneCP5_v2_13TeV-JHUGen-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.13021/orc2020/qsn50q/epijip
title: V4W_53.bag
DOI: 10.13021/orc2020/qsn50q/qdvtpv
title: V4W_6.bag
DOI: 10.13021/orc2020/qsn50q/jknkqr
title: V4W_33.bag
DOI: 10.7483/opendata.cms.r5nw.438d
title: /X0ToUpsilonJPsi_M-14p0_TuneCP5_13TeV-JHUGen-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.13021/orc2020/qsn50q/r3hqsf
title: V4W_20.bag
DOI: 10.13021/orc2020/qsn50q/93vmr7
title: V4W_39.bag
DOI: 10.7483/opendata.cms.ii0e.08y7
title: /X0ToUpsilonJPsi_M-14p0_TuneCP5_13TeV-JHUGen-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.13021/orc2020/qsn50q/hxoflg
title: V4W_30.bag
DOI: 10.13021/orc2020/qsn50q/yozgp0
title: V4W_55.bag
DOI: 10.13021/orc2020/qsn50q/zpiakc
title: V4W_57.bag
DOI: 10.7483/opendata.cms.j1yt.mpy1
title: /X0ToUpsilonJPsi_M-14p0_TuneCP5_v2_13TeV-JHUGen-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.13021/orc2020/qsn50q/kdlqd9
title: V4W_17.bag
DOI: 10.13021/orc2020/qsn50q/yqahkz
title: V4W_48.bag
DOI: 10.13021/orc2020/qsn50q/avwuvr
title: V4W_35.bag
DOI: 10.7483/opendata.cms.u6cc.rgil
title: /X0ToUpsilonJPsi_M-14p0_TuneCP5_v2_13TeV-JHUGen-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.13021/orc2020/qsn50q/agxdr3
title: V4W_5.bag
DOI: 10.13021/orc2020/qsn50q/bzxwst
title: V4W_27.bag
DOI: 10.15468/dl.vehb4s
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhinella rubescens (Lutz, 1925)"
 ]
}

 The dataset includes 69 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072775-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7483/opendata.cms.l901.gp5v
title: /X0ToUpsilonJPsi_M-14p5_TuneCP5_13TeV-JHUGen-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.13021/orc2020/qsn50q/cgrr4e
title: V4W_51.bag
DOI: 10.13021/orc2020/qsn50q/zveq4y
title: V4W_37.bag
DOI: 10.13021/orc2020/qsn50q/wpyis8
title: V4W_11.bag
DOI: 10.7483/opendata.cms.1rds.mj0l
title: /X0ToUpsilonJPsi_M-14p5_TuneCP5_13TeV-JHUGen-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.13021/orc2020/qsn50q/kquh0x
title: V4W_95.bag
DOI: 10.13021/orc2020/qsn50q/urpnio
title: V4W_105.bag
DOI: 10.7483/opendata.cms.jzgf.ho9w
title: /X0ToUpsilonJPsi_M-14p5_TuneCP5_v2_13TeV-JHUGen-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.13021/orc2020/qsn50q/cun3uh
title: V4W_72.bag
DOI: 10.13021/orc2020/qsn50q/0dkwn8
title: V4W_79.bag
DOI: 10.13021/orc2020/qsn50q/0pgrmq
title: V4W_96.bag
DOI: 10.7483/opendata.cms.27h2.uqsc
title: /X0ToUpsilonJPsi_M-14p5_TuneCP5_v2_13TeV-JHUGen-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.13021/orc2020/qsn50q/m2g09j
title: V4W_100.bag
DOI: 10.13021/orc2020/qsn50q/z0gir8
title: V4W_91.bag
DOI: 10.13021/orc2020/qsn50q/vwf78h
title: V4W_101.bag
DOI: 10.7483/opendata.cms.ubq8.6pii
title: /X0ToUpsilonJPsi_M-15p0_TuneCP5_13TeV-JHUGen-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.13021/orc2020/qsn50q/zkxdzl
title: V4W_74.bag
DOI: 10.15468/dl.b86be5
title: Occurrence Download

description: A dataset containing 1609 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Abarema cochliacarpos (Gomes) Barneby & J.W.Grimes)"
 ]
}

 The dataset includes 1609 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072776-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13021/orc2020/qsn50q/zy4sbs
title: V4W_99.bag
DOI: 10.7483/opendata.cms.p16a.359v
title: /X0ToUpsilonJPsi_M-15p0_TuneCP5_13TeV-JHUGen-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.13021/orc2020/qsn50q/z9ivfu
title: V4W_84.bag
DOI: 10.13021/orc2020/qsn50q/636sax
title: V4W_83.bag
DOI: 10.13021/orc2020/qsn50q/qmicxl
title: V4W_90.bag
DOI: 10.7483/opendata.cms.sfde.j4tq
title: /X0ToUpsilonJPsi_M-15p0_TuneCP5_v2_13TeV-JHUGen-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.13021/orc2020/qsn50q/jb1drz
title: V4W_102.bag
DOI: 10.13021/orc2020/qsn50q/ro04z2
title: V4W_103.bag
DOI: 10.13021/orc2020/qsn50q/pebtqq
title: V4W_80.bag
DOI: 10.7483/opendata.cms.adlt.2s2l
title: /X0ToUpsilonJPsi_M-15p0_TuneCP5_v2_13TeV-JHUGen-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v2/NANOAODSIM
DOI: 10.13021/orc2020/qsn50q/opdoks
title: V4W_92.bag
DOI: 10.13021/orc2020/qsn50q/xqampd
title: V4W_71.bag
DOI: 10.7483/opendata.cms.y5oi.w142
title: /XToYYprimeTo4q_MX1000_MY120_MYprime120_narrow_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.13021/orc2020/qsn50q/qeh3gs
title: V4W_104.bag
DOI: 10.13021/orc2020/qsn50q/isom0m
title: V4W_76.bag
DOI: 10.13021/orc2020/qsn50q/huuqhl
title: V4W_93.bag
DOI: 10.7483/opendata.cms.bwzw.5af4
title: /XToYYprimeTo4q_MX1000_MY120_MYprime120_narrow_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.13021/orc2020/qsn50q/psi9kf
title: V4W_87.bag
DOI: 10.13021/orc2020/qsn50q/roy9lf
title: V4W_88.bag
DOI: 10.13021/orc2020/qsn50q/dodluy
title: V4W_81.bag
DOI: 10.7483/opendata.cms.jqla.lgh4
title: /XToYYprimeTo4q_MX1000_MY120_MYprime150_narrow_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.13021/orc2020/qsn50q/r5vgc4
title: V4W_78.bag
DOI: 10.13021/orc2020/qsn50q/gy1ifw
title: V4W_86.bag
DOI: 10.13021/orc2020/qsn50q/z4noh8
title: V4W_89.bag
DOI: 10.7483/opendata.cms.7wyj.qt1x
title: /XToYYprimeTo4q_MX1000_MY120_MYprime150_narrow_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.13021/orc2020/qsn50q/f1zhyi
title: V4W_98.bag
DOI: 10.13021/orc2020/qsn50q/rpbkfy
title: V4W_70.bag
DOI: 10.7483/opendata.cms.um9v.obi6
title: /XToYYprimeTo4q_MX1000_MY120_MYprime200_narrow_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.13021/orc2020/qsn50q/xjc1qi
title: V4W_65.bag
DOI: 10.13021/orc2020/qsn50q/gwjgu3
title: V4W_82.bag
DOI: 10.13021/orc2020/qsn50q/cdokiv
title: V4W_94.bag
DOI: 10.7483/opendata.cms.91q8.ysno
title: /XToYYprimeTo4q_MX1000_MY120_MYprime200_narrow_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.13021/orc2020/qsn50q/h8uktj
title: V4W_73.bag
DOI: 10.13021/orc2020/qsn50q/gzazgt
title: V4W_85.bag
DOI: 10.13021/orc2020/qsn50q/lp5bs7
title: V4W_75.bag
DOI: 10.7483/opendata.cms.gi0k.67k5
title: /XToYYprimeTo4q_MX1000_MY120_MYprime250_narrow_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.13021/orc2020/qsn50q
title: Verti-Wheelers Datasets

description: The Verti-Wheelers dataset contains human teleoperated demonstration of wheeled robots (Verti-Wheelers) driving through vertically challenging terrain. [&lt;a href="https://cs.gmu.edu/~xiao/Research/Verti-Wheelers/" target="_blank"&gt;Website&lt;/a&gt;] [&lt;a href="https://cs.gmu.edu/~xiao/papers/vw.pdf" target="_blank"&gt;Paper&lt;/a&gt;] [&lt;a href="https://www.youtube.com/watch?v=7um8PRUsQDg" target="_blank"&gt;Video&lt;/a&gt;] [&lt;a href="https://dataverse.orc.gmu.edu/dataset.xhtml?persistentId=doi:10.13021/orc2020/QSN50Q" target="_blank"&gt;Datasets&lt;/a&gt;] [&lt;a href="https://github.com/RobotiXX/Verti-Wheelers" target="_blank"&gt;Code&lt;/a&gt;]
DOI: 10.13021/orc2020/qsn50q/ge4ovy
title: V4W_97.bag
DOI: 10.7483/opendata.cms.9ues.fxmx
title: /XToYYprimeTo4q_MX1000_MY120_MYprime250_narrow_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.qabt.swne
title: /XToYYprimeTo4q_MX1000_MY150_MYprime150_narrow_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.13021/orc2020/rlztdf/brb2nw
title: Original_Data.zip

description: This folder contains all original data associated with the manuscript. It includes an Excel spreadsheet which lists the filenames and associated variables for the particular data set. The original data is in the Nanonis .sxm format.
DOI: 10.7483/opendata.cms.h0qp.k7u4
title: /XToYYprimeTo4q_MX1000_MY150_MYprime150_narrow_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.13021/orc2020/rlztdf/8thxdk
title: Figures_supplemental.zip

description: Contains the files to generate all figures.
The data is contained in one of three formats:
A. A MATLAB .mat data file with a .m script to reproduce the figures
B. An ORIGIN .opju project file which contains both the data and plots
C. A .png file to generate the figure
DOI: 10.13021/orc2020/rlztdf/ac5qfd
title: Source_code.zip

description: This folder contains scripts used to generate calculated results and also to analyze data.
DOI: 10.7483/opendata.cms.3xor.vpd3
title: /XToYYprimeTo4q_MX1000_MY150_MYprime200_narrow_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.13021/orc2020/rlztdf/ll0z2e
title: README.txt

description: Read me file
DOI: 10.13021/orc2020/rlztdf
title: Replication Data for: A Quantum Ruler for Orbital Magnetism in Moiré Quantum Matter

description: All experimental and theoretical data and code used to generate theoretical results contained in the main text and supplemental material file is contained in this archive.

The archive consists of four main directories:

1. Figures_main and Figures_supplemental: These two folders contain all the files to generate all figures.

The data is contained in one of three formats:

A. A MATLAB .mat data file with a .m script to reproduce the figures

B. An ORIGIN .opju project file which contains both the data and plots

C. A .png file to generate the figure

2. Source_code: This folder contains scripts used to generate calculated results and also to analyze data.

3. Original Data: This folder contains all original data associated with the manuscript. It includes an Excel spreadsheet which lists the filenames and associated variables for the particular data set. The original data is in the Nanonis .sxm format.

 Correspondence should be addressed to:

Joseph A. Stroscio; email: joseph.stroscio@nist.gov

Fereshte Ghahari; email: fghahari@gmu.edu
DOI: 10.13021/orc2020/rlztdf/sahflt
title: Figures_main.zip

description: Contains the files to generate all figures. The data is contained in one of three formats:
A. A MATLAB .mat data file with a .m script to reproduce the figures
B. An ORIGIN .opju project file which contains both the data and plots
C. A .png file to generate the figure
DOI: 10.7483/opendata.cms.mdha.pdc6
title: /XToYYprimeTo4q_MX1000_MY150_MYprime200_narrow_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.7483/opendata.cms.nsvo.5vof
title: /XToYYprimeTo4q_MX1000_MY150_MYprime250_narrow_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.13021/orc2020/ka1slz/j7fku7
title: compute_es9_0.5.R
DOI: 10.13021/orc2020/ka1slz/bcupcj
title: results_9_0.3.Rmd
DOI: 10.13021/orc2020/ka1slz/majjgh
title: results_9_0.7.Rmd
DOI: 10.7483/opendata.cms.w0il.uq1h
title: /XToYYprimeTo4q_MX1000_MY150_MYprime250_narrow_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.13021/orc2020/ka1slz/8z0abh
title: AnalyticFile12Sept2023.xlsx
DOI: 10.13021/orc2020/ka1slz/njbwn0
title: compute_es9_0.7.R
DOI: 10.13021/orc2020/ka1slz/q2rxka
title: results_9_0.5.Rmd
DOI: 10.7483/opendata.cms.rxk0.4vwb
title: /XToYYprimeTo4q_MX1000_MY200_MYprime200_narrow_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.13021/orc2020/ka1slz/puxqzw
title: compute_es9_0.3.R
DOI: 10.13021/orc2020/ka1slz/jy2wwa
title: Read Me.rtf
DOI: 10.7483/opendata.cms.mfmg.22am
title: /XToYYprimeTo4q_MX1000_MY200_MYprime200_narrow_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.13021/orc2020/ka1slz/6wnqpy
title: compute_es10_0.7.R
DOI: 10.13021/orc2020/ka1slz/dgxwxk
title: AnalyticFile7Feb2024.xlsx
DOI: 10.13021/orc2020/ka1slz/9ku7d4
title: compute_es10_0.3.R
DOI: 10.7483/opendata.cms.c8p2.ausj
title: /XToYYprimeTo4q_MX1000_MY200_MYprime250_narrow_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.13021/orc2020/ka1slz/8uk4vg
title: compute_es10_0.5.R
DOI: 10.13021/orc2020/ka1slz/udvvep
title: results_10_0.5.Rmd
DOI: 10.7483/opendata.cms.qdmj.d6cn
title: /XToYYprimeTo4q_MX1000_MY200_MYprime250_narrow_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.15468/dl.upz4az
title: Occurrence Download

description: A dataset containing 663 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Türkiye, Greece)",
 "TaxonKey is Origanum onites L."
 ]
}

 The dataset includes 663 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072778-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57754/fdat.cmgnm-1ra17
title: Soil quality data from Mesa Redonda at Villaverde del Río (ES-SE), field campaign 2023-03

description: Soil quality is a key feature for agriculturual management and to discribe the growing potential for field crops. It involves soil organic carbon content (SOC), soil acidity (pH), cation exchange capacity (CEC) and water content at field capacity (θFC). Since these soil properties are time consuming and costly to measure, we employed machine learning models to predict them from MIR spectra.
The dataset was used to predict soil organic carbon (%), clay (<2 µm), silt (2-50 µm), and sand (50-2000 µm) content (%) and pH on samples that were not analysed with wet chemistry. Subsequently, cation exchange capacity (cmol kg⁻¹; doi:10.1016/j.catena.2017.07.002) and water content at field capacity (cm³ cm⁻³; doi:10.1111/ejss.12192) were calculated with the referenced pedo-transfer functions. The soil samples were taken in an area around Villaverde del Río, Andalusia, Spain, in the Sierra Morena mountain range (Palaeozoic granite, gneiss, and slate) and at the Guadalquivir river flood plain (Pleistocene marl, calcarenite, coarse sand, and Holocene sands and loams). Present soil types according to USDA Soil Taxonomy are Alfisols, Entisols, Inceptisols, and Vertisols. 
For more details see "SFB 1070 A02 - Short report on pedological analysis at Mesa Redonda, Villaverde del Río, ES-SE".
DOI: 10.7483/opendata.cms.gkub.w4uq
title: /XToYYprimeTo4q_MX1000_MY250_MYprime250_narrow_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.13021/orc2020/pdsap7/exlzwr
title: mfa_tg.tar.bz2
DOI: 10.13021/orc2020/ka1slz
title: Meta-Analysis: Effects of Acute Exercise on General Mood

description: The purpose of the present data (meta-analysis) was to quantify the effect size of the affective response to acute exercise and to identify factors that are associated with an enhanced or attenuated affective response to acute exercise. The uploaded are the extracted data from the original studies and the R code files and RMarkdown files that were used to run the analyses.
DOI: 10.13021/orc2020/ka1slz/pc64y5
title: results_11_0.5.Rmd
DOI: 10.13021/orc2020/pdsap7/4vwvtq
title: test_tg.tar.bz2
DOI: 10.7483/opendata.cms.vcmt.93zd
title: /XToYYprimeTo4q_MX1000_MY250_MYprime250_narrow_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.13021/orc2020/pdsap7/qt0fs9
title: val_tg.tar.bz2
DOI: 10.13021/orc2020/pdsap7
title: Replication Data for "The Mason-Alberta Phonetic Segmenter: A forced alignment system based on deep neural networks and interpolation"

description: These are the TextGrid outputs of the alignments run during the evaluation process for the MAPS paper. They are separated into train, validation, and test sets. The results from training and running the Montreal Forced Aligner (MFA) are also provided. The tar file for MFA contains subfolders for each of the train, validation, and test sets. The code that evaluated these files can be found on GitHub at https://github.com/MasonPhonLab/MAPS_Paper_Code.

If your operating system does not have an untarring utility pre-installed to open the tar files, 7-zip may prove a good option: https://www.7-zip.org/
DOI: 10.13021/orc2020/pdsap7/ljg5cg
title: train_tg.tar.bz2
DOI: 10.7483/opendata.cms.mo92.ind8
title: /XToYYprimeTo4q_MX1000_MY30_MYprime120_narrow_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM