cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18710/0wghzm/dy4lxb
title: 20191021_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/ghqal7
title: 20191116_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/hsvxmx
title: 20190211_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/puzvhy
title: 20190904_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/unka9y
title: 20190703_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/vocvsn
title: 20190404_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/vpum4v
title: 20190508_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/wc7pvd
title: 20191128_NYA_REDOBS_glo.txt
DOI: 10.18710/juwe1o/9s8rzi
title: 20190211_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/de8v6x
title: 20190115_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/dz4i6d
title: 20190729_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/irm1nh
title: 20190413_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/jzypqi
title: 20190127_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/nzrlfw
title: 20190123_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/upoylx
title: 20190707_HOP_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/hufycf
title: 20190105_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/ok219f
title: 20191009_BJN_REDTEC_glo.txt
DOI: 10.18710/q0f8pa/gh4ysh
title: OPX-6.stl
DOI: 10.18710/0wghzm/nll3jt
title: 20190326_NYA_REDOBS_glo.txt
DOI: 10.18710/juwe1o/3o6j5z
title: 20190116_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/5bqlts
title: 20190919_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/7mdgxx
title: 20190803_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/aunlw2
title: 20190403_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/b9ftvm
title: 20191124_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/bfihs0
title: 20190218_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/cdssah
title: 20190110_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/ch7gss
title: 20190126_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/dmz8a7
title: 20190528_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/dtu1fd
title: 20190310_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/ej4p3b
title: 20190515_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/feu01n
title: 20190103_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/fhwrpz
title: 20190808_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/hckxmv
title: 20190207_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/iaee4d
title: 20191012_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/ibnsgr
title: 20191202_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/mcoa3g
title: 20190502_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/mjhiys
title: 20191120_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/ngebng
title: 20190820_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/ngrfib
title: 20191125_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/ocn5wr
title: 20190403_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/ormv4l
title: 20190215_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/otvigu
title: 20190623_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/py9xeg
title: 20190425_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/qtiijb
title: 20190606_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/rqlxgy
title: 20191102_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/svweud
title: 20190205_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/tfwevu
title: 20191216_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/trugst
title: 20191220_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/uhglrd
title: 20190610_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/vle1fl
title: 20190904_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/vswbgf
title: 20190120_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/x9xgus
title: 20190930_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/xp1vj5
title: 20190908_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/yjhrhv
title: 20190718_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/yuri9f
title: 20190209_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/z4yc0w
title: 20191211_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/zexvyn
title: 20190715_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/zzi5lf
title: 20190921_HOP_REDTEC_gps.txt
DOI: 10.18710/q0f8pa/3lxn9n
title: OPX-56.stl
DOI: 10.18710/q0f8pa/3p7io3
title: OPX-39.stl
DOI: 10.18710/q0f8pa/4tu3ox
title: PLAG68.stl
DOI: 10.18710/q0f8pa/6mfu6e
title: OPX-35.stl
DOI: 10.18710/q0f8pa/ffgxcc
title: OPX-58.stl
DOI: 10.18710/q0f8pa/mfr482
title: OPX-60.stl
DOI: 10.18710/q0f8pa/nmxjyw
title: OPX-258.stl
DOI: 10.18710/q0f8pa/pi6cls
title: OPX-199.stl
DOI: 10.18710/q0f8pa/xcf9uj
title: OPX-209.stl
DOI: 10.5258/soton/d3769
title: Dataset in support of the article "Multiscale geometrical and topological learning in the analysis of soft matter collective dynamics"

description: Understanding the behavior and evolution of a dynamical many-body system by analyzing patterns in their experimentally captured images is a promising method relevant for a variety of living and non-living self-assembled systems. The arrays of moving liquid crystal skyrmions studied here are a representative example of hierarchically organized materials that exhibit complex spatiotemporal dynamics driven by multiscale processes. Joint geometric and topological data analysis (TDA) offers a powerful framework for investigating such systems by capturing the underlying structure of the data at multiple scales. In the TDA approach, we introduce the Ψ function, a robust numerical topological descriptor related to both the spatiotemporal changes in the size and shape of individual topological solitons and the emergence of regions with their different spatial organization. The geometric method based on the analysis of vector fields generated from images of skyrmion ensembles offers insights into the nonlinear physical mechanisms of the system’s response to external stimuli and provides a basis for comparison with theoretical predictions. The methodology presented here is very general and can provide a characterization of system behavior both at the level of individual pattern-forming agents and as a whole, allowing one to relate the results of image data analysis to processes occurring in a physical, chemical, or biological system in the real world.
DOI: 10.18710/juwe1o/3jdwtw
title: 20191127_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/cfam9c
title: 20190328_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/fp2gpz
title: 20190605_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/htoqld
title: 20191122_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/jgaols
title: 20190829_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/osj4kd
title: 20190802_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/s8kqan
title: 20190414_HOP_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/3vklwv
title: 20190108_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/5k5xyr
title: 20190929_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/iqklfq
title: 20190930_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/orw6r3
title: 20190726_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/rotqxv
title: 20190327_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/talryz
title: 20190407_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/xg03kp
title: 20190401_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/yhqbn7
title: 20191125_BJN_REDTEC_gps.txt
DOI: 10.18710/q0f8pa/nt9ufw
title: OPX-236.stl
DOI: 10.18710/q0f8pa/rncadq
title: OPX-186.stl
DOI: 10.18710/q0f8pa/supjjg
title: OPX-260.stl
DOI: 10.18710/q0f8pa/xq0jrz
title: PLAG158.stl
DOI: 10.18710/juwe1o/4c6n8x
title: 20191219_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/5qh4ce
title: 20190616_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/yzvndd
title: 20190513_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/zquut6
title: 20190615_HOP_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/2j3jz8
title: 20190703_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/ytbmyi
title: 20190430_BJN_REDTEC_gal.txt
DOI: 10.18710/q0f8pa/0b5tr1
title: OPX-101.stl
DOI: 10.18710/q0f8pa/3exndi
title: OPX74.stl
DOI: 10.18710/q0f8pa/ksrxmh
title: PLAG-100.stl
DOI: 10.18710/q0f8pa/lqzp1o
title: OPX-111.stl
DOI: 10.18710/q0f8pa/nomrah
title: OPX-48.stl
DOI: 10.18710/q0f8pa/qrhc7i
title: OPX165.stl
DOI: 10.18710/q0f8pa/sgceqd
title: OPX-189.stl
DOI: 10.18710/q0f8pa/stxvqy
title: OPX All.stl
DOI: 10.18710/q0f8pa/swg92r
title: OPX-94.stl
DOI: 10.18710/q0f8pa/v4nv3p
title: OPX-240.stl
DOI: 10.18710/q0f8pa/w2nqad
title: OPX-145.stl
DOI: 10.18710/q0f8pa/wvxb2p
title: OPX-87.stl
DOI: 10.18710/q0f8pa/xzlejj
title: OPX-122.stl
DOI: 10.18710/0wghzm/3kts9h
title: 20191214_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/4f6xoa
title: 20191024_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/ahchmd
title: 20190814_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/ffsaql
title: 20191008_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/hhhfgi
title: 20190213_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/kod8q1
title: 20191108_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/mygcgw
title: 20190425_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/vwnhyt
title: 20190427_NYA_REDOBS_gal.txt
DOI: 10.18710/juwe1o/1sjtmi
title: 20190605_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/4rg9by
title: 20190313_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/aormi6
title: 20191027_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/dg3t2w
title: 20190103_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/eeel6p
title: 20190525_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/fkpdqe
title: 20190924_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/hcoskk
title: 20191209_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/n898ej
title: 20190902_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/qbexxx
title: 20190905_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/qeijcv
title: 20191116_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/reghup
title: 20190929_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/wnehwf
title: 20190430_HOP_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/ezgiqx
title: 20190628_BJN_REDTEC_glo.txt
DOI: 10.18710/juwe1o/ajkcly
title: 20191006_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/mdigv4
title: 20190823_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/xybcky
title: 20190316_HOP_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/0advfb
title: 20190330_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/1jepjq
title: 20191219_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/7hhcqp
title: 20190209_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/b92dt7
title: 20190110_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/dqrubu
title: 20190511_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/lgwu7r
title: 20190903_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/ofhyqs
title: 20190902_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/sho2ou
title: 20190906_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/ttjgwy
title: 20190818_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/xfesqd
title: 20190222_BJN_REDTEC_gps.txt
DOI: 10.18710/q0f8pa/c8wxgh
title: PLAG9.stl
DOI: 10.18710/q0f8pa/yb9rnm
title: OPX29.stl
DOI: 10.18710/juwe1o/0yd1ed
title: 20190610_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/8kh5se
title: 20190102_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/ci6obd
title: 20191101_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/ejdzro
title: 20190208_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/isbe41
title: 20190220_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/itaeds
title: 20190118_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/jxmscy
title: 20190205_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/kumafn
title: 20190204_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/rcmm6g
title: 20190507_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/xu2tzt
title: 20190928_HOP_REDTEC_gal.txt
DOI: 10.18710/q0f8pa/6qz6kt
title: PLAG-95.stl
DOI: 10.18710/q0f8pa/97wimo
title: OPX109.stl
DOI: 10.18710/q0f8pa/fkgvm5
title: PLAG48.stl
DOI: 10.18710/q0f8pa/lwpyv2
title: PLAG67.stl
DOI: 10.18710/q0f8pa/ouid6b
title: PLAG2.stl
DOI: 10.18710/q0f8pa/rgalhe
title: OPX254.stl
DOI: 10.18710/0wghzm/1snih7
title: 20190122_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/dyekwv
title: 20190309_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/s0ttdn
title: 20191025_NYA_REDOBS_gal.txt
DOI: 10.18710/juwe1o/atwy4g
title: 20190422_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/dcss2b
title: 20191214_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/e3q7x6
title: 20190915_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/ggqjrq
title: 20190105_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/gimuwz
title: 20190131_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/kto0ih
title: 20191105_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/rymkcv
title: 20190909_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/s5a79e
title: 20191108_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/tqgpuu
title: 20190306_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/wmqc89
title: 20190907_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/ymriiq
title: 20190210_HOP_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/n91bvx
title: 20190403_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/uyhcmn
title: 20190202_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/xgijv0
title: 20190723_BJN_REDTEC_gal.txt
DOI: 10.18710/juwe1o/8wluc5
title: 20190529_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/jkq3cj
title: 20190218_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/qxlq7m
title: 20190826_HOP_REDTEC_gps.txt
DOI: 10.18710/q0f8pa/0yict6
title: PLAG-2.stl
DOI: 10.18710/q0f8pa/gt7qwy
title: PLAG123.stl
DOI: 10.18710/q0f8pa/hkwipk
title: OPX96.stl
DOI: 10.18710/q0f8pa/jpxjfz
title: OPX10.stl
DOI: 10.18710/q0f8pa/lfczzs
title: OPX77.stl
DOI: 10.18710/q0f8pa/nwg8z6
title: OPX120.stl
DOI: 10.18710/0wghzm/1sexwr
title: 20190128_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/4hapvi
title: 20190624_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/apvsls
title: 20190228_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/frdjvy
title: 20190814_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/gezyqq
title: 20190921_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/lhhhlw
title: 20191009_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/nnpsex
title: 20190612_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/ofrci8
title: 20191107_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/qlwvfk
title: 20190830_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/rjrtgr
title: 20191214_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/rvvimx
title: 20190325_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/xn6gry
title: 20191119_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/zhscda
title: 20190621_NYA_REDOBS_gps.txt
DOI: 10.18710/juwe1o/fqlqtk
title: 20190320_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/giedn1
title: 20190920_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/khpesk
title: 20190805_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/nq6okf
title: 20190724_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/oc5wra
title: 20190603_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/tnx8ff
title: 20191201_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/y9fa6f
title: 20191219_HOP_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/1eqe4y
title: 20191123_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/5g7dii
title: 20191219_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/6ivuzp
title: 20190215_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/9atyp5
title: 20190325_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/ambgd3
title: 20191009_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/dv7y4o
title: 20191101_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/hydife
title: 20191225_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/ilaldt
title: 20190111_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/k5u7mm
title: 20191115_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/ker9kr
title: 20191019_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/odo2i5
title: 20190615_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/qgk3jx
title: 20190923_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/sb396p
title: 20191016_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/sqn2kn
title: 20190628_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/tfonsf
title: 20190304_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/zgbugd
title: 20190411_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/zqlplv
title: 20191016_BJN_REDTEC_gal.txt
DOI: 10.18710/q0f8pa/0xvouy
title: OPX37.stl
DOI: 10.18710/q0f8pa/9bjxh7
title: OPX71.stl
DOI: 10.18710/q0f8pa/la55xi
title: PLAG-24.stl
DOI: 10.18710/q0f8pa/r97gxa
title: PLAG99.stl
DOI: 10.18710/xfwqec/mqyo2s
title: 20190218_KHO_REDTEC_gal.txt
DOI: 10.18710/xfwqec/yidjz3
title: 20190515_KHO_REDTEC_gal.txt
DOI: 10.18710/0wghzm/7tugcm
title: 20190821_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/8hb7cb
title: 20191222_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/fca0k1
title: 20190527_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/i7s0iy
title: 20190115_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/ikvq5v
title: 20190526_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/oyif1d
title: 20190422_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/ujdetd
title: 20190715_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/wiiakl
title: 20191223_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/xr8fkc
title: 20190125_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/yyfl6a
title: 20190311_NYA_REDOBS_gps.txt
DOI: 10.18710/juwe1o/0f4zeo
title: 20190307_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/5zxirq
title: 20190516_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/96eunq
title: 20190719_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/bkwqkx
title: 20191202_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/dtuus6
title: 20190815_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/hhga1i
title: 20190421_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/lvfqxr
title: 20191028_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/qp9oky
title: 20190617_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/s3knf8
title: 20190618_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/y1bwvm
title: 20190621_HOP_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/0koybg
title: 20190226_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/5iildh
title: 20191025_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/8e0o2n
title: 20190626_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/bh1cgl
title: 20190618_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/c5r5pf
title: 20190613_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/fbhqbv
title: 20190302_BJN_REDTEC_gps.txt
DOI: 10.18710/lu4p3w/lcnbnw
title: 20190404_BJN_REDTEC_gal.txt
DOI: 10.18710/lu4p3w/llr1st
title: 20190722_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/ouclbw
title: 20190708_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/sj803j
title: 20190610_BJN_REDTEC_glo.txt
DOI: 10.18710/lu4p3w/sucbkv
title: 20191004_BJN_REDTEC_gps.txt
DOI: 10.18710/q0f8pa/6gpa5l
title: OPX21.stl
DOI: 10.18710/q0f8pa/amu7ln
title: OPX141.stl
DOI: 10.18710/q0f8pa/bytchh
title: PLAG-138.stl
DOI: 10.18710/q0f8pa/i7qyj5
title: PLAG-60.stl
DOI: 10.18710/q0f8pa/jhwuzp
title: OPX107.stl
DOI: 10.18710/q0f8pa/kgvuzl
title: PLAG29.stl
DOI: 10.18710/q0f8pa/l0n0ci
title: OPX33.stl
DOI: 10.18710/q0f8pa/lmttzb
title: PLAG38.stl
DOI: 10.18710/q0f8pa/qkyly8
title: OPX234.stl
DOI: 10.18710/q0f8pa/zadvin
title: OPX76.stl
DOI: 10.18710/0wghzm/1bi2ma
title: 20190318_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/1fbgk3
title: 20191003_NYA_REDOBS_gps.txt
DOI: 10.18710/0wghzm/8ng4aa
title: 20190706_NYA_REDOBS_gal.txt
DOI: 10.18710/0wghzm/d8sl5h
title: 20191218_NYA_REDOBS_glo.txt
DOI: 10.18710/0wghzm/wadlgx
title: 20190713_NYA_REDOBS_gps.txt
DOI: 10.18710/juwe1o/18iljx
title: 20190920_HOP_REDTEC_glo.txt
DOI: 10.18710/juwe1o/2s4p3o
title: 20190121_HOP_REDTEC_gal.txt
DOI: 10.18710/juwe1o/4bahnr
title: 20190206_HOP_REDTEC_gps.txt
DOI: 10.18710/juwe1o/7dymud
title: 20191022_HOP_REDTEC_gal.txt
DOI: 10.15468/dl.24zqx4
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Eliomys munbyanus (Pomel, 1856)"
 ]
}

 The dataset includes 67 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072664-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.0vdipc
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Piabuna Chamberlin & Ivie, 1933"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025328-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.35hmzr
title: Occurrence Download

description: A dataset containing 593946 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "Year is greater than or equal to 1970",
 "TaxonKey is Oryctolagus cuniculus (Linnaeus, 1758)"
 ]
}

 The dataset includes 593946 records from 2023 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011719-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.5526477
title: dictionaria/palula: Palula dictionary

description: Liljegren, Henrik. 2019. Palula dictionary. Dictionaria 3. 1-2700 (Available online at https://dictionaria.clld.org/contributions/palula)
DOI: 10.5285/299b1bb28eaa440f9a36e9786adfe398
title: BICEP/NCEO: Monthly global Particulate Organic Carbon (POC), between 1997-2020 at 4 km resolution (produced from the Ocean Colour Climate Change Initiative v4.2 dataset), version 2

description: The BICEP/NCEO: Monthly global Particulate Organic Carbon (POC) v4.2 datasets contain POC concentrations (mg m^-3) with per pixel uncertainties estimates gridded on both geographic and sinusoidal projections at 4 km spatial resolution for the period of 1997 to 2020. The POC products were generated as part of the European Space Agency (ESA) Biological Pump and Carbon Exchange Processes (BICEP) project with support from the National Centre of Earth Observation (NCEO). The POC concentrations were estimated using an empirical Remote Sensing Reflectance (Rrs) band ratio algorithm by Stramski et al. (2008): 203.2*Rrs(443)/Rrs(555)^-1.034. This algorithm has shown a relatively good performance in the recent global inter-comparison study conducted by Evers-King et al. (2017). Additional variables that were used for the calculation of the POC products are also provided in the datasets, including the Rrs at 443 nm and 555 nm obtained from the ESA Ocean Colour Climate Change Initiative version 4.2 dataset (OC-CCI v4.2)(Sathyendranath et al., 2020). In addition to the papers by Stramski et al. (2008) and Evers-king et al. (2017), for more details on the algorithm and its validation, please see the BICEP Algorithm Theoretical Basis Document (ATBD) and validation report (https://bicep-project.org/Home). This version of the dataset is an updated version of the previous 'NCEO: Monthly global Particulate Organic Carbon (POC) (produced from the Ocean Colour Climate Change Initiative, Version 4.2 dataset)'. A related product based on the Ocean Colour Climate Change Initiative v5.0 data is also available (see the link in the related records section).
DOI: 10.5525/gla.researchdata.1698
title: Phenotypic evolution of SARS-CoV-2 spike throughout the COVID-19 pandemic
DOI: 10.6084/m9.figshare.27316020
title: Activity-Induced Annealing leads to Ductile-to-Brittle Transition in Amorphous Solids

description: Raw data and Codes for the study.
DOI: 10.6084/m9.figshare.28136894
title: Supplementary Material for: Deep brain stimulation in pediatric populations: A scoping review of the clinical trial landscape

description: Objective: There has been rapid advancement in the development of deep brain stimulation (DBS) as a treatment option for adults for neurological and neuropsychiatric conditions. Here, we present a scoping review of completed and ongoing clinical trials focused on DBS in pediatric populations, highlighting key knowledge gaps. 

Methods: Three databases (PubMed, OVID, and Embase) and the clinicaltrials.gov registry were queried to identify clinical trials for DBS in pediatric cohorts (age &lt; 18). Prospective and retrospective case series were excluded. No restrictions were placed on the diagnoses or measured clinical outcomes. Individual patient demographics, diagnosis, DBS target, and primary endpoints were extracted and summarized. 

Results: A total of 13 clinical trials were included in the final review, consisting of 9 completed trials (357 screened) and 4 ongoing trials (82 screened). Of the completed trials, 6 studied dystonia (both inherited and acquired; participants aged 4-18), and 3 studied drug-resistant epilepsy (participants aged 4-17). Amongst the 6 trials for dystonia, 5 used the Burke-Fahn-Marsden Dystonia Rating Scale (BFMDRS) as the primary endpoint. There were a total of 18 adverse events documented across 63 participants, with 5 of 9 studies reporting adverse events. Ongoing clinical trials are evaluating DBS for dystonia (N=2), epilepsy (N=1), and self-injurious behaviour (N=1).

Conclusions: This scoping review summarizes the landscape of clinical trials for DBS in children and youth. In dystonia, further research is warranted with more relevant pediatric outcome measures and for understudied patient subgroups and targets. There are also significant gaps in our understanding of evaluate the role of DBS in other neurological and neurodevelopmental disorders in pediatric populations.