open_mfdataset with a matrix of input arrays fails

When I have a matrix of input arrays and I want to open them with open_mfdataset, this fails with the following error:
My input data is perfectly aligned and they are non overlapping, but the check for Overlapping dimensions is checking every dimension separately and therefore finds overlaps.

ERROR: Dimension ranges overlap
Stacktrace:
  [1] error(s::String)
    @ Base ./error.jl:35
  [2] (::YAXArrays.Datasets.var"#ltfunc#277")(ax1::StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, ax2::StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64})
    @ YAXArrays.Datasets ~/.julia/dev/YAXArrays/src/DatasetAPI/Datasets.jl:798
  [3] #1
    @ ./ordering.jl:133 [inlined]
  [4] lt
    @ ./ordering.jl:120 [inlined]
  [5] lt
    @ ./ordering.jl:118 [inlined]
  [6] lt
    @ ./ordering.jl:125 [inlined]
  [7] _sort!(v::Vector{Int64}, #unused#::Base.Sort.InsertionSortAlg, o::Base.Order.Perm{Base.Order.ReverseOrdering{Base.Order.Lt{Base.Order.var"#1#3"{YAXArrays.Datasets.var"#ltfunc#277", typeof(identity)}}}, Vector{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}}, kw::NamedTuple{(:scratch, :lo, :hi), Tuple{Nothing, Int64, Int64}})
    @ Base.Sort ./sort.jl:748
  [8] _sort!(v::Vector{Int64}, a::Base.Sort.Small{10, Base.Sort.InsertionSortAlg, Base.Sort.IEEEFloatOptimization{Base.Sort.IsUIntMappable{Base.Sort.Small{40, Base.Sort.InsertionSortAlg, Base.Sort.CheckSorted{Base.Sort.ComputeExtrema{Base.Sort.ConsiderCountingSort{Base.Sort.CountingSort, Base.Sort.ConsiderRadixSort{Base.Sort.RadixSort, Base.Sort.Small{80, Base.Sort.InsertionSortAlg, Base.Sort.ScratchQuickSort{Missing, Missing, Base.Sort.InsertionSortAlg}}}}}}}, Base.Sort.StableCheckSorted{Base.Sort.ScratchQuickSort{Missing, Missing, Base.Sort.InsertionSortAlg}}}}}, o::Base.Order.Perm{Base.Order.ReverseOrdering{Base.Order.Lt{Base.Order.var"#1#3"{YAXArrays.Datasets.var"#ltfunc#277", typeof(identity)}}}, Vector{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}}, kw::NamedTuple{(:scratch, :lo, :hi), Tuple{Nothing, Int64, Int64}})
    @ Base.Sort ./sort.jl:713
  [9] _sort!
    @ ./sort.jl:660 [inlined]
 [10] _sort!
    @ ./sort.jl:596 [inlined]
 [11] #sort!#28
    @ ./sort.jl:1374 [inlined]
 [12] sort!
    @ ./sort.jl:1367 [inlined]
 [13] _sortperm(A::Vector{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}; alg::Base.Sort.MissingOptimization{Base.Sort.BoolOptimization{Base.Sort.Small{10, Base.Sort.InsertionSortAlg, Base.Sort.IEEEFloatOptimization{Base.Sort.IsUIntMappable{Base.Sort.Small{40, Base.Sort.InsertionSortAlg, Base.Sort.CheckSorted{Base.Sort.ComputeExtrema{Base.Sort.ConsiderCountingSort{Base.Sort.CountingSort, Base.Sort.ConsiderRadixSort{Base.Sort.RadixSort, Base.Sort.Small{80, Base.Sort.InsertionSortAlg, Base.Sort.ScratchQuickSort{Missing, Missing, Base.Sort.InsertionSortAlg}}}}}}}, Base.Sort.StableCheckSorted{Base.Sort.ScratchQuickSort{Missing, Missing, Base.Sort.InsertionSortAlg}}}}}}}, order::Base.Order.ReverseOrdering{Base.Order.Lt{Base.Order.var"#1#3"{YAXArrays.Datasets.var"#ltfunc#277", typeof(identity)}}}, scratch::Nothing, dims::Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
    @ Base.Sort ./sort.jl:1582
 [14] _sortperm
    @ ./sort.jl:1569 [inlined]
 [15] #sortperm#32
    @ ./sort.jl:1564 [inlined]
 [16] sortperm
    @ ./sort.jl:1555 [inlined]
 [17] analyse_axjoin_ranges(dimvallist::Vector{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}})
    @ YAXArrays.Datasets ~/.julia/dev/YAXArrays/src/DatasetAPI/Datasets.jl:813
 [18] create_mergedict(dimvallist::Dict{Symbol, Vector{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}})
    @ YAXArrays.Datasets ~/.julia/dev/YAXArrays/src/DatasetAPI/Datasets.jl:823
 [19] merge_datasets(dslist::Vector{Dataset})
    @ YAXArrays.Datasets ~/.julia/dev/YAXArrays/src/DatasetAPI/Datasets.jl:841
 [20] #open_mfdataset#49
    @ ~/.julia/dev/YAXArrays/src/DatasetAPI/Datasets.jl:259 [inlined]
 [21] open_mfdataset(g::Vector{String})
    @ YAXArrays.Datasets ~/.julia/dev/YAXArrays/src/DatasetAPI/Datasets.jl:259
 [22] top-level scope
    @ REPL[12]:1

Start in src/DatasetAPI/Datasets.jl at open_mfdataset (line 259), then trace merge_datasets, create_mergedict, and analyse_axjoin_ranges around lines 798-841. Reproduce the failure with a matrix of aligned, non-overlapping input arrays and inspect the per-dimension overlap check. Done means open_mfdataset accepts this input without the Dimension ranges overlap error.