cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25625/6oohe5/qxep16
title: bond_170.dat

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DOI: 10.25625/6oohe5/i0j2l1
title: prod.rst7

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DOI: 10.25625/6oohe5/ddjbhj
title: bond.365

description: :unav
DOI: 10.25625/6oohe5/w3lpex
title: eq.rst7

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DOI: 10.25345/c57s7ht5n
title: MassIVE Reanalysis RMSV000000354.5313 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SNTG2 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5cj87m89
title: MassIVE Reanalysis RMSV000000354.5314 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, NKD2 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25625/6oohe5/kaepwf
title: eq.rst7

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DOI: 10.25625/6oohe5/xmvrrs
title: send.sh

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DOI: 10.25345/c5416t117
title: MassIVE Reanalysis RMSV000000354.5311 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, PLEKHG5 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25625/6oohe5/6groev
title: bond_145.dat

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DOI: 10.25625/6oohe5/mhnfq6
title: omp.prmtop

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DOI: 10.25625/6oohe5/qkdbda
title: bond.280

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DOI: 10.25625/6oohe5/zejndx
title: bond_230.dat

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DOI: 10.25625/6oohe5/lrttik
title: bond_305.dat

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DOI: 10.25625/6oohe5/l0psc1
title: min0.in

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DOI: 10.25625/6oohe5/ngquj9
title: omp.prmtop

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DOI: 10.25625/6oohe5/6h31u2
title: bond_380.dat

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DOI: 10.25625/6oohe5/0mnghi
title: min2.out

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DOI: 10.25625/6oohe5/vj5xd4
title: prod.rst7

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DOI: 10.25625/6oohe5/gyc0ye
title: eq.in

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DOI: 10.25625/6oohe5/e9z8ly
title: eq.out

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DOI: 10.25625/6oohe5/ui9lnq
title: bond.175

description: :unav
DOI: 10.25625/6oohe5/ukwfmq
title: eq.rst7

description: :unav
DOI: 10.25345/c5086366c
title: MassIVE Reanalysis RMSV000000354.5304 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, MAPK10 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25625/6oohe5/9fnfam
title: OD1-H11.out

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DOI: 10.25625/6oohe5/htgjke
title: min2.rst7

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DOI: 10.25625/6oohe5/ijokvk
title: eq.rst7

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DOI: 10.25625/6oohe5/dcptqw
title: min1.in

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DOI: 10.25625/6oohe5/nduxxk
title: min2.rst7

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DOI: 10.25625/6oohe5/hj40ac
title: bond_355.dat

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DOI: 10.25625/6oohe5/yyzjkv
title: eq.out

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DOI: 10.25625/6oohe5/gvialu
title: send.sh

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DOI: 10.25625/6oohe5/cgi828
title: send.sh

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DOI: 10.25625/6oohe5/ysv5en
title: bond_390.dat

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DOI: 10.25625/6oohe5/eu3ru0
title: min2.in

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DOI: 10.25625/6oohe5/jbqu1d
title: min2.in

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DOI: 10.25625/6oohe5/prsbvh
title: omb.frcmod

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DOI: 10.25625/6oohe5/smgak2
title: eq.out

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DOI: 10.25625/6oohe5/cecwyu
title: README

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DOI: 10.25625/6oohe5/5px8jg
title: eq.rst7

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DOI: 10.25625/6oohe5/uodnps
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DOI: 10.25625/6oohe5/byfd53
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DOI: 10.25625/6oohe5/1yktri
title: min2.out

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DOI: 10.25625/6oohe5/ukmb0o
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DOI: 10.25625/6oohe5/ws5x6n
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DOI: 10.25625/6oohe5/nnvy1l
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DOI: 10.25625/6oohe5/rnukbi
title: bond.210

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DOI: 10.25625/6oohe5/3dqn9d
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DOI: 10.25625/6oohe5/phrb64
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DOI: 10.25625/6oohe5/vjpc8m
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DOI: 10.25625/6oohe5/wz2nj8
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DOI: 10.25625/6oohe5/nuuds5
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DOI: 10.25625/6oohe5/03qtyg
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DOI: 10.25625/6oohe5/brrczh
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DOI: 10.25625/6oohe5/fxicij
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DOI: 10.25625/6oohe5/q5jjcg
title: omp.prmtop

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DOI: 10.25625/6oohe5/xrjbfm
title: eq.out

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DOI: 10.25625/6oohe5/gtjack
title: eq.out

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DOI: 10.25625/6oohe5/g4pdam
title: prod.in

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DOI: 10.25625/6oohe5/duiqbi
title: prod.rst7

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DOI: 10.25625/6oohe5/r4vkpv
title: prod.out

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DOI: 10.25625/6oohe5/xohuqt
title: eq.out

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DOI: 10.25625/6oohe5/vbdzeb
title: heat.out

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DOI: 10.25625/6oohe5/cqxc8m
title: min2.out

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DOI: 10.25625/6oohe5/qzaiwq
title: min2.in

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DOI: 10.25625/6oohe5/scsphi
title: omp.prmtop

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DOI: 10.25625/6oohe5/9vcsdn
title: min2.rst7

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DOI: 10.25625/6oohe5/n7orpt
title: min2.rst7

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DOI: 10.25625/6oohe5/s9vlq6
title: send.sh

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DOI: 10.25625/6oohe5/w3xswz
title: eq.rst7

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DOI: 10.25625/6oohe5/aiw33p
title: initial.pdb

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DOI: 10.25625/6oohe5/xroewn
title: omp.prmtop

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DOI: 10.25625/6oohe5/u5nuvv
title: min2.rst7

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DOI: 10.25625/6oohe5/at7fnm
title: bond_385.dat

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DOI: 10.25625/6oohe5/wftoxu
title: min2.rst7

description: :unav
DOI: 10.25625/6oohe5/qgbrbh
title: bond_195.dat

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DOI: 10.25625/6oohe5/nzuplk
title: bond.310

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DOI: 10.25625/6oohe5/fdkvx5
title: heat.out

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DOI: 10.25625/6oohe5/rtjzob
title: eq.in

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DOI: 10.25625/6oohe5/gs5ukc
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DOI: 10.25625/6oohe5/ghmhl8
title: prod.in

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DOI: 10.25625/6oohe5/r61a2y
title: prod.out

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DOI: 10.25625/6oohe5/bnkus5
title: min2.in

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DOI: 10.25625/6oohe5/i793q5
title: eq.in

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DOI: 10.25625/6oohe5/6cboy8
title: prod.out

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DOI: 10.25625/6oohe5/odpzhd
title: min1.in

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DOI: 10.25625/6oohe5/3hv6ib
title: prod.in

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DOI: 10.25625/6oohe5/6klgk3
title: min2.rst7

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DOI: 10.25625/6oohe5/buijha
title: min2.in

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DOI: 10.25625/6oohe5/86bgcz
title: min2.in

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DOI: 10.25625/6oohe5/sl6xc3
title: min2.tmpl

description: :unav
DOI: 10.25625/6oohe5/jju6yw
title: bond_200.dat

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DOI: 10.25625/6oohe5/c3bupp
title: bond.360

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DOI: 10.25625/6oohe5/zlmvxu
title: bond_215.dat

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DOI: 10.25625/6oohe5/8fsbcb
title: bond_220.dat

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DOI: 10.25625/6oohe5/yo1pzu
title: eq.out

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DOI: 10.25625/6oohe5/plma1z
title: eq.rst7

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DOI: 10.25625/6oohe5/tef7j0
title: eq.in

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DOI: 10.25625/6oohe5/xzfbhb
title: bond.160

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DOI: 10.25625/6oohe5/zbtwrl
title: eq.out

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DOI: 10.25625/6oohe5/ux7sx0
title: prod.out

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DOI: 10.25625/6oohe5/bmbfp0
title: bond_340.dat

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DOI: 10.25625/6oohe5/7ziil8
title: min2.in

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DOI: 10.25625/6oohe5/ufmn9h
title: send.sh

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DOI: 10.25625/6oohe5/usrjvh
title: bond_165.dat

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DOI: 10.25625/6oohe5/d3465t
title: min1.rst7

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DOI: 10.25625/6oohe5/smzz7z
title: min2.out

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DOI: 10.25625/6oohe5/moi6xx
title: min2.rst7

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DOI: 10.25625/6oohe5/qjupqq
title: min1.rst7

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DOI: 10.25625/6oohe5/bdxxxa
title: eq.out

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DOI: 10.25625/6oohe5/y0v1ih
title: eq.out

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DOI: 10.25625/6oohe5/mv0nec
title: prod.out

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DOI: 10.25625/6oohe5/b7q0cp
title: min2.out

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DOI: 10.25625/6oohe5/oorkt5
title: send.sh

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DOI: 10.25625/6oohe5/ivsjmz
title: bond.380

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DOI: 10.25625/6oohe5/pcsbrn
title: bond_160.dat

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DOI: 10.25625/6oohe5/aciawc
title: min1.out

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DOI: 10.25625/6oohe5/oc5jjq
title: prod.rst7

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DOI: 10.25625/6oohe5/9txhgm
title: bond_315.dat

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DOI: 10.25625/6oohe5/uk2nhr
title: eq.in

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DOI: 10.25625/6oohe5/hl4cje
title: eq.rst7

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DOI: 10.25625/6oohe5/ar9o4u
title: prod.in

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DOI: 10.25625/6oohe5/kdn8jr
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DOI: 10.25625/6oohe5/hcz3rv
title: eq.out

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DOI: 10.25625/6oohe5/sg6cln
title: prod.out

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DOI: 10.25625/6oohe5/o5dvj0
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DOI: 10.25625/6oohe5/8h4xy9
title: eq.in

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DOI: 10.25625/6oohe5/i3mpwy
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DOI: 10.25625/6oohe5/lhdu7h
title: eq.rst7

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DOI: 10.25625/6oohe5/hyvgjg
title: eq.out

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DOI: 10.25625/6oohe5/glfz1e
title: send.sh

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DOI: 10.25625/6oohe5/d9pupj
title: omp.prmtop

description: :unav
DOI: 10.25625/6oohe5/tih0nd
title: prod.in

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DOI: 10.25625/6oohe5/zjx8po
title: eq.out

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DOI: 10.25625/6oohe5/mqvi02
title: min2.rst7

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DOI: 10.25625/6oohe5/gbaeah
title: prod.in

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DOI: 10.25625/6oohe5/yudbuc
title: send.sh

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DOI: 10.25625/6oohe5/u2kvbj
title: eq.in

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DOI: 10.25625/6oohe5/b6ghtj
title: eq.in

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DOI: 10.25625/6oohe5/pcq5py
title: prod.out

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DOI: 10.25625/6oohe5/b9alwd
title: eq.in

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DOI: 10.25625/6oohe5/tnb9wz
title: bond_290.dat

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DOI: 10.25625/6oohe5/vqbf1j
title: eq.rst7

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DOI: 10.25625/6oohe5/ctz87d
title: min2.out

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DOI: 10.5255/ukda-sn-855543
title: The Early Childhood Intervention and Parental Involvement in Bangladesh, 2016-2021

description: In this project, we introduce and test alternative models of early childhood interventions- traditional kindergarten versus home visit- that could be effectively adapted for implementation at scale. The project uses a large scale randomized controlled trials (RCTs) in rural communities to evaluate the efficacy of three early childhood interventions: a preschool program, this program combined with a parent academy, and combined with home visit. The first intervention established a pre-school program. The second intervention included weekly home visit by teachers/caregivers to demonstrate parent-child interactions and learning environment at home. The third intervention combined pre-school program with home visit. The research involves 7000 children from 223 villages in southwestern Bangladesh. Our evidence shows that the establishing traditional kindergarten is the most cost-effective way to improve children’s early learning outcomes in remote rural area in Bangladesh.
DOI: 10.25625/6oohe5/yfocuc
title: bond.325

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DOI: 10.25625/6oohe5/assjwo
title: send.sh

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DOI: 10.25625/6oohe5/6zn1le
title: bond_210.dat

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DOI: 10.25625/6oohe5/czakyu
title: bond.200

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DOI: 10.25625/6oohe5/9bx1i2
title: prod.out

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DOI: 10.25625/6oohe5/oh2mbs
title: bond_310.dat

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DOI: 10.25625/6oohe5/gjqmnm
title: bond_375.dat

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DOI: 10.25625/6oohe5/qrlczj
title: bond.335

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DOI: 10.25625/6oohe5/zgvoxa
title: bond.155

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DOI: 10.25625/6oohe5/dfwbcq
title: min2.in

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DOI: 10.25625/6oohe5/tlchra
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DOI: 10.25625/6oohe5/p5hm3a
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DOI: 10.25625/6oohe5/a47bpy
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DOI: 10.25625/6oohe5/zgzbfo
title: bond_295.dat

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DOI: 10.25625/6oohe5/9vjskg
title: eq.in

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DOI: 10.25625/6oohe5/lequm8
title: bond_300.dat

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DOI: 10.25625/6oohe5/zwbssm
title: min2.rst7

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DOI: 10.25625/6oohe5/yjibag
title: send.sh

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DOI: 10.25625/6oohe5/fhpawq
title: send.sh

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DOI: 10.25625/6oohe5/quphnc
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DOI: 10.25625/6oohe5/fcca7o
title: min2.out

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DOI: 10.25625/6oohe5/im4ah9
title: bond_305.dat

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DOI: 10.25625/6oohe5/7t7kkt
title: heat.in

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DOI: 10.25625/6oohe5/o1y7qv
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DOI: 10.25625/6oohe5/redfkx
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DOI: 10.25625/6oohe5/44eygw
title: bond_180.dat

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DOI: 10.25625/6oohe5/yimt2n
title: eq.in

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DOI: 10.25625/6oohe5/fayhlt
title: bond.245

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DOI: 10.25625/6oohe5/9zsjky
title: bond_255.dat

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DOI: 10.25625/6oohe5/lbsu6f
title: bond_350.dat

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DOI: 10.25625/6oohe5/jnkcvv
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DOI: 10.25625/6oohe5/f8awmf
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DOI: 10.17037/data.00002743
title: Samvad Project Datasets
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DOI: 10.25625/6oohe5/8kxqz8
title: bond_315.dat

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title: bond.185

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DOI: 10.25625/6oohe5/l0ygfl
title: bond.145

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DOI: 10.25625/6oohe5/qwwich
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DOI: 10.25625/6oohe5/lcb2qd
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title: min2.rst7

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DOI: 10.25625/6oohe5/drhxmv
title: prod.in

description: :unav
DOI: 10.25625/6oohe5/fraouc
title: bond_355.dat

description: :unav
DOI: 10.25625/6oohe5/n64bcq
title: send.sh

description: :unav
DOI: 10.25625/6oohe5/sndukw
title: heat.out

description: :unav
DOI: 10.25625/6oohe5/rhjnru
title: prod.in

description: :unav
DOI: 10.25625/6oohe5/zo0noh
title: eq.in

description: :unav
DOI: 10.25625/6oohe5/odnqav
title: eq.out

description: :unav
DOI: 10.25625/6oohe5/dkgjs8
title: eq.in

description: :unav
DOI: 10.25625/6oohe5/cwbn7r
title: prod.rst7

description: :unav
DOI: 10.25625/6oohe5/vugpnk
title: prod.rst7

description: :unav
DOI: 10.25625/6oohe5/kjxw5p
title: eq.out

description: :unav
DOI: 10.25625/6oohe5/4bwiuz
title: omp.prmtop

description: :unav
DOI: 10.25625/6oohe5/kubesc
title: bond_260.dat

description: :unav
DOI: 10.25625/6oohe5/beffpl
title: min2.rst7

description: :unav
DOI: 10.25625/6oohe5/cy9p3l
title: heat.rst7

description: :unav
DOI: 10.25625/6oohe5/h9i4kl
title: bond.170

description: :unav
DOI: 10.25625/6oohe5/tuyqml
title: min2.in

description: :unav
DOI: 10.25625/6oohe5/ntgzhd
title: surfanalysis.pdb

description: :unav
DOI: 10.25625/6oohe5/gburiy
title: LIDI.txt

description: :unav
DOI: 10.25625/6oohe5/hlgkli
title: 2.xyz

description: :unav
DOI: 10.25625/6oohe5/mkc8qz
title: orotic.fchk

description: :unav
DOI: 10.25625/6oohe5/2m3miq
title: ump.pov

description: :unav
DOI: 10.25625/6oohe5/mwjqas
title: orotic.log

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DOI: 10.25625/6oohe5/gxzaw4
title: carbene.fchk

description: :unav
DOI: 10.5281/zenodo.6246853
title: Environmental variables measured in 624 lakes across Canada

description: The file “LakePluse_env_624lakes.csv” contains environmental variables from 624 sampled as part of the NSERC Canadian Lake Pulse Network project over three summers (2017-2018-2019). Lake morphometry variables were either measured on site (lake depth), or obtained from HydroLAKES v. 1.0 (Messager et al. 2016). Water quality variables (water physical and chemical properties) were collected or measured at the deepest point of each lake, following the protocols from the NSERC Canadian Lake Pulse Network (2021). Watershed land use fractions were characterized for each lake, as described by Huot et al. (2019). Variables sampling depth and units are described in “metadata_variables.xlsx”. The file “fishTL_314lakes.csv" contains fish data in a subset of 314 lakes. Fish presence-data was collected as part of the FishHab project (fishab.weebly.com). Species trophic position were obtained using FishBase (https://www.fishbase.se/), and the highest trophic level was recorded for each lake (maxTL). Fish species were assigned a trophic position of piscivore (trophic level or TL &gt; 3.5) or planktivore (TL ≤ 3.5) based on FishBase classification of known planktivore and piscivore species (adult stages). The total number of piscivore and planktivore taxa were then recorded for each lake. Lakes IDs with respective locations (longitude and latitude coordinates) and Continental Basin allocations can be found here: https://doi.org/10.5281/zenodo.4701262 References Huot, Y., C. A. Brown, G. Potvin, and others. 2019. The NSERC Canadian Lake Pulse Network: A national assessment of lake health providing science for water management in a changing climate. Sci. Total Environ. <strong>695</strong>: 133668. doi:10.1016/j.scitotenv.2019.133668 Messager, M. L., B. Lehner, G. Grill, I. Nedeva, and O. Schmitt. 2016. Estimating the volume and age of water stored in global lakes using a geo-statistical approach. Nat. Commun. <strong>7</strong>: 1–11. doi:10.1038/ncomms13603 NSERC Canadian Lake Pulse Network. 2021. NSERC Canadian Lake Pulse Network field manual 2017 - 2018 - 2019 surveys, M.-P. Varin, M.-L. Beaulieu, and Y. Huot [eds.]. Université de Sherbrooke.
description: {"references": ["Huot, Y., C. A. Brown, G. Potvin, and others. 2019. The NSERC Canadian Lake Pulse Network: A national assessment of lake health providing science for water management in a changing climate. Sci. Total Environ. 695: 133668. doi:10.1016/j.scitotenv.2019.133668", "Messager, M. L., B. Lehner, G. Grill, I. Nedeva, and O. Schmitt. 2016. Estimating the volume and age of water stored in global lakes using a geo-statistical approach. Nat. Commun. 7: 1\u201311. doi:10.1038/ncomms13603", "NSERC Canadian Lake Pulse Network. 2021. NSERC Canadian Lake Pulse Network field manual 2017 - 2018 - 2019 surveys, M.-P. Varin, M.-L. Beaulieu, and Y. Huot [eds.]. Universit\u00e9 de Sherbrooke."]}
DOI: 10.25625/6oohe5/g5bq8g
title: deprot_bmp.log

description: :unav