cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25346/s6eecgix/bxqzbc
title: msXL_344v_0_ring.jpg
DOI: 10.25346/s6eecgix/blbgig
title: msXL_344v.jpg
DOI: 10.25346/s6eecgix/s8iajb
title: msXL_334v_65_49.tif
DOI: 10.25346/s6eecgix/fgbgto
title: msXL_334v_65_48.tif
DOI: 10.25346/s6eecgix/nm7gag
title: msXL_334v_65_47.tif
DOI: 10.25346/s6eecgix/bh5f21
title: msXL_334v_65_46.tif
DOI: 10.25346/s6eecgix/1vidyy
title: msXL_334v_65_45.tif
DOI: 10.25346/s6eecgix/6s4mym
title: msXL_334v_65_44.tif
DOI: 10.25346/s6eecgix/c4pp2n
title: msXL_334v_65_43.tif
DOI: 10.25346/s6eecgix/7tkzkr
title: msXL_334v_65_42.tif
DOI: 10.25346/s6eecgix/quvy3d
title: msXL_334v_65_41.tif
DOI: 10.25346/s6eecgix/ghsb79
title: msXL_334v_65_40.tif
DOI: 10.25346/s6eecgix/po0dae
title: msXL_334v_65_39.tif
DOI: 10.25346/s6eecgix/mnjbrt
title: msXL_334v_65_38.tif
DOI: 10.25346/s6eecgix/kre48a
title: msXL_334v_48_37.tif
DOI: 10.25346/s6eecgix/lsqap9
title: msXL_334v_48_36.tif
DOI: 10.25346/s6eecgix/plrg6g
title: msXL_334v_48_35.tif
DOI: 10.25346/s6eecgix/vd2aex
title: msXL_334v_48_34.tif
DOI: 10.25346/s6eecgix/xfzru2
title: msXL_334v_48_33.tif
DOI: 10.25346/s6eecgix/beu1wn
title: msXL_334v_48_32.tif
DOI: 10.25346/s6eecgix/vb6uwh
title: msXL_334v_48_31.tif
DOI: 10.25346/s6eecgix/myhnzb
title: msXL_334v_48_30.tif
DOI: 10.25346/s6eecgix/wfw3vn
title: msXL_334v_48_29.tif
DOI: 10.25346/s6eecgix/zzwjwm
title: msXL_334v_48_28.tif
DOI: 10.25346/s6eecgix/lmzvm6
title: msXL_334v_48_27.tif
DOI: 10.6084/m9.figshare.30292249
title: Data for Teachers that teach the irrelevant: Pre-training machine learned interaction potentials with classical force fields for robust molecular dynamics simulations

description: This repository contains datasets, trained models, simulation scripts, and analysis notebooks for molecular dynamics (MD), metadynamics, and machine learning potential development using NewtonNet. The data spans three chemical systems—aspirin, water, and H₂ combustion reactions—and includes training, sampling, and simulation workflows.Key contents:Rattled sampling with GAFF/Q-force: Structure files and scripts for generating diverse molecular configurations of aspirin, water, and H₂ combustion systems.Trained NewtonNet models: Collections of models trained from scratch and via pre-training/fine-tuning strategies on datasets such as MD17, FANE, GAFF, Q-force, and H2comb data.Molecular dynamics simulations: Python scripts and Jupyter notebooks for running and analyzing MD simulations with NewtonNet-trained models on aspirin and water.Metadynamics simulations: Input files, scripts, and trajectories for PLUMED-driven metadynamics on H2 combustion reactions, along with analysis notebooks.Simulation trajectories and outputs: MD and metadynamics trajectory data generated from trained models across all systems.This dataset supports benchmarking of machine learning interatomic potentials with and without transfer learning, and provides workflows for molecular sampling, training, simulation, and enhanced sampling across diverse chemical systems.
DOI: 10.6084/m9.figshare.30292249.v1
title: Data for Teachers that teach the irrelevant: Pre-training machine learned interaction potentials with classical force fields for robust molecular dynamics simulations

description: This repository contains datasets, trained models, simulation scripts, and analysis notebooks for molecular dynamics (MD), metadynamics, and machine learning potential development using NewtonNet. The data spans three chemical systems—aspirin, water, and H₂ combustion reactions—and includes training, sampling, and simulation workflows.Key contents:Rattled sampling with GAFF/Q-force: Structure files and scripts for generating diverse molecular configurations of aspirin, water, and H₂ combustion systems.Trained NewtonNet models: Collections of models trained from scratch and via pre-training/fine-tuning strategies on datasets such as MD17, FANE, GAFF, Q-force, and H2comb data.Molecular dynamics simulations: Python scripts and Jupyter notebooks for running and analyzing MD simulations with NewtonNet-trained models on aspirin and water.Metadynamics simulations: Input files, scripts, and trajectories for PLUMED-driven metadynamics on H2 combustion reactions, along with analysis notebooks.Simulation trajectories and outputs: MD and metadynamics trajectory data generated from trained models across all systems.This dataset supports benchmarking of machine learning interatomic potentials with and without transfer learning, and provides workflows for molecular sampling, training, simulation, and enhanced sampling across diverse chemical systems.
DOI: 10.25346/s6eecgix/4fn9gj
title: msXL_334v_48_26.tif
DOI: 10.25346/s6eecgix/oenloq
title: msXL_334v_48_25.tif
DOI: 10.25346/s6eecgix/1tgdcx
title: msXL_334v_31_24.tif
DOI: 10.25346/s6eecgix/wja4er
title: msXL_334v_31_23.tif
DOI: 10.26023/dwaj-5016-4w03
title: MAIR-E: Flight Tracks - Google Earth .kml files. Version 1.0

description: KML is a file format used to display geographic data in an Earth browser such as Google Earth. This dataset contains KML files used to display the NSF/NCAR HIAPER GV flight track in real-time during the MAIR-E project.
DOI: 10.25346/s6eecgix/j429rr
title: msXL_334v_31_22.tif
DOI: 10.25346/s6eecgix/r668ji
title: msXL_334v_31_21.tif
DOI: 10.25346/s6eecgix/ajd1uw
title: msXL_334v_31_20.tif
DOI: 10.25346/s6eecgix/htqa9y
title: msXL_334v_31_19.tif
DOI: 10.25346/s6eecgix/hc8ynm
title: msXL_334v_31_18.tif
DOI: 10.25346/s6eecgix/n60wdv
title: msXL_334v_31_17.tif
DOI: 10.25346/s6eecgix/mgv2uu
title: msXL_334v_31_16.tif
DOI: 10.25346/s6eecgix/k7aajg
title: msXL_334v_31_15.tif
DOI: 10.25346/s6eecgix/uaxsjy
title: msXL_334v_31_14.tif
DOI: 10.25346/s6eecgix/lwskcm
title: msXL_334v_31_13.tif
DOI: 10.25346/s6eecgix/bfjbyp
title: msXL_334v_22_73.tif
DOI: 10.25346/s6eecgix/yxq67t
title: msXL_334v_22_72.tif
DOI: 10.25346/s6eecgix/dkpqjo
title: msXL_334v_22_71.tif
DOI: 10.25346/s6eecgix/mlo1wi
title: msXL_334v_22_70.tif
DOI: 10.25346/s6eecgix/f2edkf
title: msXL_334v_22_69.tif
DOI: 10.25346/s6eecgix/9usilk
title: msXL_334v_22_68.tif
DOI: 10.25346/s6eecgix/qyk2ci
title: msXL_334v_22_67.tif
DOI: 10.25346/s6eecgix/cpfdy1
title: msXL_334v_22_66.tif
DOI: 10.25346/s6eecgix/pjqztb
title: msXL_334v_22_65.tif
DOI: 10.25346/s6eecgix/jrxfqt
title: msXL_334v_22_64.tif
DOI: 10.25346/s6eecgix/deyq9f
title: msXL_334v_22_63.tif
DOI: 10.25346/s6eecgix/1ygnmd
title: msXL_334v_22_62.tif
DOI: 10.25346/s6eecgix/e7vxba
title: msXL_334v_15_12.tif
DOI: 10.25346/s6eecgix/gbkbs9
title: msXL_334v_15_11.tif
DOI: 10.25346/s6eecgix/ftg6p6
title: msXL_334v_15_10.tif
DOI: 10.25346/s6eecgix/hbhni1
title: msXL_334v_15_09.tif
DOI: 10.25346/s6eecgix/wzsozc
title: msXL_334v_15_08.tif
DOI: 10.25346/s6eecgix/3lrcrc
title: msXL_334v_15_07.tif
DOI: 10.25346/s6eecgix/1bamua
title: msXL_334v_15_06.tif
DOI: 10.25346/s6eecgix/dgfhal
title: msXL_334v_15_05.tif
DOI: 10.25346/s6eecgix/wkulil
title: msXL_334v_15_04.tif
DOI: 10.25346/s6eecgix/lrf55k
title: msXL_334v_15_03.tif
DOI: 10.25346/s6eecgix/fra7wq
title: msXL_334v_15_02.tif
DOI: 10.25346/s6eecgix/ffboe5
title: msXL_334v_15_01.tif
DOI: 10.25346/s6eecgix/bstadk
title: msXL_334v_10_61.tif
DOI: 10.25346/s6eecgix/32axl4
title: msXL_334v_10_60.tif
DOI: 10.25346/s6eecgix/0hkpc1
title: msXL_334v_10_59.tif
DOI: 10.25346/s6eecgix/318sfe
title: msXL_334v_10_58.tif
DOI: 10.25346/s6eecgix/ghxe56
title: msXL_334v_10_57.tif
DOI: 10.25346/s6eecgix/aj7lzl
title: msXL_334v_10_56.tif
DOI: 10.25346/s6eecgix/dc4ivi
title: msXL_334v_10_55.tif
DOI: 10.25346/s6eecgix/ql3c2j
title: msXL_334v_10_54.tif
DOI: 10.25346/s6eecgix/ky9u0t
title: msXL_334v_10_53.tif
DOI: 10.25346/s6eecgix/9m3aaf
title: msXL_334v_10_52.tif
DOI: 10.25346/s6eecgix/zt87ma
title: msXL_334v_10_51.tif
DOI: 10.25346/s6eecgix/saaaoy
title: msXL_334v_10_50.tif
DOI: 10.25346/s6eecgix/7yzefg
title: msXL_334v_0_ring.tif
DOI: 10.25346/s6eecgix/av3uvq
title: msXL_334v.tif
DOI: 10.25346/s6eecgix/fuoumd
title: plane_8.jpg
DOI: 10.25346/s6eecgix/eohb76
title: plane_7.jpg
DOI: 10.25346/s6eecgix/e2a1jl
title: plane_6.jpg
DOI: 10.25346/s6eecgix/aihyvg
title: plane_5.jpg
DOI: 10.25346/s6eecgix/pclwnb
title: plane_4.jpg
DOI: 10.25346/s6eecgix/esqic2
title: plane_3.jpg
DOI: 10.25346/s6eecgix/uyvoww
title: plane_2.jpg
DOI: 10.25346/s6eecgix/s0h9o6
title: plane_1.jpg
DOI: 10.25346/s6eecgix/wuncrr
title: plane_0.jpg
DOI: 10.25346/s6eecgix/tbqp4g
title: info.json
DOI: 10.25346/s6eecgix/usahcw
title: plane_8.jpg
DOI: 10.25346/s6eecgix/7v2wfh
title: plane_7.jpg
DOI: 10.25346/s6eecgix/ry4w9s
title: plane_6.jpg
DOI: 10.25346/s6eecgix/oq4zia
title: plane_5.jpg
DOI: 10.25346/s6eecgix/4znjcy
title: plane_4.jpg
DOI: 10.25346/s6eecgix/ueiqua
title: plane_3.jpg
DOI: 10.25346/s6eecgix/f8qmif
title: plane_2.jpg
DOI: 10.25346/s6eecgix/pq78tk
title: plane_1.jpg
DOI: 10.25346/s6eecgix/shsloi
title: plane_0.jpg
DOI: 10.25346/s6eecgix/cpzfcm
title: plane_2.jpg
DOI: 10.25346/s6eecgix/poltqt
title: plane_1.jpg
DOI: 10.25346/s6eecgix/qs91cq
title: plane_0.jpg
DOI: 10.25346/s6eecgix/6i3dpu
title: materials.png
DOI: 10.25346/s6eecgix/kfkz2l
title: plane_5.jpg
DOI: 10.25346/s6eecgix/odxrfa
title: plane_4.jpg
DOI: 10.25346/s6eecgix/f0vu4g
title: plane_3.jpg
DOI: 10.25346/s6eecgix/dat72a
title: plane_2.jpg
DOI: 10.25346/s6eecgix/2avcco
title: plane_1.jpg
DOI: 10.25346/s6eecgix/ew8hgz
title: plane_0.jpg
DOI: 10.25346/s6eecgix/lv9vct
title: info.json
DOI: 10.25346/s6eecgix/uusf59
title: plane_2.jpg
DOI: 10.25346/s6eecgix/t2kjji
title: plane_1.jpg
DOI: 10.25346/s6eecgix/1amief
title: plane_0.jpg
DOI: 10.25346/s6eecgix/73ygli
title: info.json
DOI: 10.25346/s6eecgix/gkd5vh
title: plane_8.jpg
DOI: 10.5281/zenodo.13756044
title: Data for: Machine learning for predicting environmental mobility based on retention behaviour

description: This repository contains the data and supplementary information for the paper: "Machine learning for predicting environmental mobility based on retention behaviour".
DOI: 10.5281/zenodo.17282914
title: Data for: Machine learning for predicting environmental mobility based on retention behaviour

description: This repository contains the data and supplementary information for the paper: "Machine learning for predicting environmental mobility based on retention behaviour".
DOI: 10.25346/s6eecgix/nz5h2l
title: plane_7.jpg
DOI: 10.25346/s6eecgix/gz9okm
title: plane_6.jpg
DOI: 10.25346/s6eecgix/elt5bp
title: plane_5.jpg
DOI: 10.25346/s6eecgix/6vfklg
title: plane_4.jpg
DOI: 10.25346/s6eecgix/2kwo2q
title: plane_3.jpg
DOI: 10.25346/s6eecgix/ahwhmu
title: plane_2.jpg
DOI: 10.25346/s6eecgix/loyqjl
title: plane_1.jpg
DOI: 10.25346/s6eecgix/dytpg5
title: plane_0.jpg
DOI: 10.25346/s6eecgix/gtydto
title: msXL_334v_HSH_plane_6.jpg
DOI: 10.25346/s6eecgix/wd23jy
title: plane_2.jpg
DOI: 10.25346/s6eecgix/0arabp
title: plane_1.jpg
DOI: 10.25346/s6eecgix/hfzqht
title: plane_0.jpg
DOI: 10.25346/s6eecgix/sba2by
title: msXL_334v_jpg_RTI.relight
DOI: 10.25346/s6eecgix/gt48ki
title: 334v_RTI_HSH27.rti
DOI: 10.25346/s6eecgix/mrwfsv
title: msXL_334v_65_49.jpg
DOI: 10.25346/s6eecgix/oq4hiz
title: msXL_334v_65_48.jpg
DOI: 10.25346/s6eecgix/pxmnee
title: msXL_334v_65_47.jpg
DOI: 10.25346/s6eecgix/lkcbfu
title: msXL_334v_65_46.jpg
DOI: 10.25346/s6eecgix/hpe5u0
title: msXL_334v_65_45.jpg
DOI: 10.25346/s6eecgix/p3wfjq
title: msXL_334v_65_44.jpg
DOI: 10.25346/s6eecgix/zh4iay
title: msXL_334v_65_43.jpg
DOI: 10.5281/zenodo.17206196
title: Dollar/Rupiah Forex Prediction in the Indonesian Market Using Large Language Model, Sentiment Analysis, and Deep Learning Datasets

description: Dataset for Dollar/Rupiah Forex Prediction in the Indonesian Market Using Large Language Model, Sentiment Analysis, and Deep Learning Paper

 

Fed Rates :





Board of Governors of the Federal Reserve System (US). (n.d.-c). Federal Funds Effective Rate [DFF] [Data set]. Retrieved from FRED, Federal Reserve Bank of St. Louis https://fred.stlouisfed.org/series/DFF
DOI: 10.25346/s6eecgix/fkdlkm
title: msXL_334v_65_42.jpg
DOI: 10.25346/s6eecgix/mdcsk5
title: msXL_334v_65_41.jpg
DOI: 10.25346/s6eecgix/ppcp99
title: msXL_334v_65_40.jpg
DOI: 10.25346/s6eecgix/gc5jng
title: msXL_334v_65_39.jpg
DOI: 10.25346/s6eecgix/2kveeh
title: msXL_334v_65_38.jpg
DOI: 10.25346/s6eecgix/atfnux
title: msXL_334v_48_37.jpg
DOI: 10.25346/s6eecgix/8kwrb1
title: msXL_334v_48_36.jpg
DOI: 10.25346/s6eecgix/4wyps7
title: msXL_334v_48_35.jpg
DOI: 10.25346/s6eecgix/l8bk1g
title: msXL_334v_48_34.jpg
DOI: 10.25346/s6eecgix/omfzy7
title: msXL_334v_48_33.jpg
DOI: 10.25346/s6eecgix/jwndii
title: msXL_334v_48_32.jpg
DOI: 10.25346/s6eecgix/fja3wf
title: msXL_334v_48_31.jpg
DOI: 10.25346/s6eecgix/0lgqq4
title: msXL_334v_48_30.jpg
DOI: 10.25346/s6eecgix/5oci9o
title: msXL_334v_48_29.jpg
DOI: 10.26023/f49r-8g25-qq0x
title: MAIR-E: Low Rate (LRT - 1 sps) Navigation, State Parameter, and Microphysics Flight-Level Data. Version 1.0

description: This dataset includes airborne measurements obtained from the NSF/NCAR HIAPER GV aircraft (Tail Number N677F) during the MAIR-E project. Files contain low rate navigation, state parameter, and microphysics flight-level data in netCDF format.
DOI: 10.25346/s6eecgix/synddx
title: msXL_334v_48_28.jpg
DOI: 10.25346/s6eecgix/xpv3no
title: msXL_334v_48_27.jpg
DOI: 10.25346/s6eecgix/teqsvm
title: msXL_334v_48_26.jpg
DOI: 10.25346/s6eecgix/ci1zui
title: msXL_334v_48_25.jpg
DOI: 10.25346/s6eecgix/av4gjo
title: msXL_334v_31_24.jpg
DOI: 10.25346/s6eecgix/apoze7
title: msXL_334v_31_23.jpg
DOI: 10.25346/s6eecgix/bumonn
title: msXL_334v_31_22.jpg
DOI: 10.6084/m9.figshare.30292319
title: Blade Geometry from Material Characterisation of the Turkana Abarait

description: excel file containing all raw and processed geometrical data
DOI: 10.6084/m9.figshare.30292319.v1
title: Blade Geometry from Material Characterisation of the Turkana Abarait

description: excel file containing all raw and processed geometrical data
DOI: 10.25346/s6eecgix/mrdc82
title: msXL_334v_31_21.jpg
DOI: 10.25346/s6eecgix/1hwrun
title: msXL_334v_31_20.jpg
DOI: 10.25346/s6eecgix/1r6ogi
title: msXL_334v_31_19.jpg
DOI: 10.25346/s6eecgix/2v842t
title: msXL_334v_31_18.jpg
DOI: 10.6084/m9.figshare.30292337
title: Particle Density and Size from Material Characterisation of the Turkana Abarait

description: excel file containing all raw and processed particle density and sizedata
DOI: 10.6084/m9.figshare.30292337.v1
title: Particle Density and Size from Material Characterisation of the Turkana Abarait

description: excel file containing all raw and processed particle density and sizedata
DOI: 10.25346/s6eecgix/qf1vdf
title: msXL_334v_31_17.jpg
DOI: 10.25346/s6eecgix/uyuvtn
title: msXL_334v_31_16.jpg
DOI: 10.25346/s6eecgix/gih1mc
title: msXL_334v_31_15.jpg
DOI: 10.25346/s6eecgix/qvg79q
title: msXL_334v_31_14.jpg
DOI: 10.6084/m9.figshare.30292358
title: HV data from Material Characterisation of the Turkana Abarait

description: excel file containing all raw and processed HV data
DOI: 10.6084/m9.figshare.30292358.v1
title: HV data from Material Characterisation of the Turkana Abarait

description: excel file containing all raw and processed HV data
DOI: 10.25346/s6eecgix/6et5em
title: msXL_334v_31_13.jpg
DOI: 10.25346/s6eecgix/6lzj7l
title: msXL_334v_22_73.jpg
DOI: 10.25346/s6eecgix/8hd8go
title: msXL_334v_22_72.jpg
DOI: 10.25346/s6eecgix/5lvcqp
title: msXL_334v_22_71.jpg
DOI: 10.25346/s6eecgix/cfdjqm
title: msXL_334v_22_70.jpg
DOI: 10.25346/s6eecgix/nticc4
title: msXL_334v_22_69.jpg
DOI: 10.25346/s6eecgix/gba4wf
title: msXL_334v_22_68.jpg
DOI: 10.25346/s6eecgix/hqw2wo
title: msXL_334v_22_67.jpg
DOI: 10.25346/s6eecgix/mibn6w
title: msXL_334v_22_66.jpg
DOI: 10.25346/s6eecgix/ogaqla
title: msXL_334v_22_65.jpg
DOI: 10.25346/s6eecgix/xuq52h
title: msXL_334v_22_64.jpg
DOI: 10.25346/s6eecgix/zyoso7
title: msXL_334v_22_63.jpg
DOI: 10.25346/s6eecgix/rxavyo
title: msXL_334v_22_62.jpg
DOI: 10.25346/s6eecgix/lqwj69
title: msXL_334v_15_12.jpg
DOI: 10.25346/s6eecgix/yd7ckt
title: msXL_334v_15_11.jpg
DOI: 10.25346/s6eecgix/t5ywsm
title: msXL_334v_15_10.jpg
DOI: 10.25346/s6eecgix/9j5sh6
title: msXL_334v_15_09.jpg
DOI: 10.25346/s6eecgix/v9cktg
title: msXL_334v_15_08.jpg
DOI: 10.25346/s6eecgix/jsl3cp
title: msXL_334v_15_07.jpg
DOI: 10.25346/s6eecgix/plksxo
title: msXL_334v_15_06.jpg
DOI: 10.25346/s6eecgix/drtxtv
title: msXL_334v_15_05.jpg
DOI: 10.25346/s6eecgix/m4jsbi
title: msXL_334v_15_04.jpg
DOI: 10.25346/s6eecgix/b4odq4
title: msXL_334v_15_03.jpg
DOI: 10.25346/s6eecgix/nv054q
title: msXL_334v_15_02.jpg
DOI: 10.25346/s6eecgix/xmpjui
title: msXL_334v_15_01.jpg
DOI: 10.25346/s6eecgix/ld4ueu
title: msXL_334v_10_61.jpg
DOI: 10.25346/s6eecgix/3l5aro
title: msXL_334v_10_60.jpg
DOI: 10.25346/s6eecgix/tg2avl
title: msXL_334v_10_59.jpg
DOI: 10.25346/s6eecgix/3pcrp2
title: msXL_334v_10_58.jpg
DOI: 10.25346/s6eecgix/ksdjaz
title: msXL_334v_10_57.jpg
DOI: 10.25346/s6eecgix/tstoa4
title: msXL_334v_10_56.jpg
DOI: 10.25346/s6eecgix/a2dnd7
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DOI: 10.25346/s6eecgix/vk70fe
title: msXL_334r.tif
DOI: 10.25346/s6eecgix/wdlykf
title: plane_8.jpg
DOI: 10.25346/s6eecgix/pijztk
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DOI: 10.25346/s6eecgix/zmennw
title: plane_0.jpg
DOI: 10.25346/s6eecgix/8tkbwv
title: info.json
DOI: 10.25346/s6eecgix/zpv8at
title: msXL_334r.relight
DOI: 10.25346/s6eecgix/oijii1
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DOI: 10.25346/s6eecgix/zx9yg4
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DOI: 10.26023/aqvx-e3jh-wz0x
title: MAIR-E: High Rate (HRT - 25 sps) Navigation, State Parameter, and Microphysics Flight-Level Data. Version 1.0

description: This dataset includes airborne measurements obtained from the NSF/NCAR HIAPER GV aircraft (Tail Number N677F) during the MAIR-E project. Files contain high rate navigation, state parameter, and microphysics flight-level data in netCDF format.
DOI: 10.25346/s6eecgix/cjhwo1
title: msXL_334r_65_47.jpg
DOI: 10.25346/s6eecgix/kdlj0l
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DOI: 10.25346/s6eecgix/9xvz70
title: msXL_334r_65_45.jpg
DOI: 10.25346/s6eecgix/o3boyp
title: msXL_334r_65_44.jpg
DOI: 10.25346/s6eecgix/qoqrko
title: msXL_334r_65_43.jpg
DOI: 10.25346/s6eecgix/qxswzi
title: msXL_334r_65_42.jpg
DOI: 10.25346/s6eecgix/nlwita
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DOI: 10.25346/s6eecgix/capiy6
title: msXL_334r_65_40.jpg
DOI: 10.25346/s6eecgix/wpz8gi
title: msXL_334r_65_39.jpg
DOI: 10.3535/3wg-rl9-6aj
title: Dennstaedtia arborescens (Willd.) E. Ekman ex Maxon

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/gfq-qs4-qdy
title: Dennstaedtia arborescens (Willd.) E. Ekman ex Maxon

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.25346/s6eecgix/36flz9
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DOI: 10.25346/s6eecgix/ze5fs9
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DOI: 10.25346/s6eecgix/mpq7nf
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DOI: 10.25346/s6eecgix/8g0tfd
title: msXL_334r.jpg
DOI: 10.25346/s6eecgix/8exzlw
title: msXL_323r_65_49.tif