cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/fd84kpj34h.1
title: tourism ecosystem service value research

description: This dataset supports the research titled "Research on the Spatiotemporal Evolution and Driving Factors of Regional Tourism Ecosystem Service Value: A Case Study of the Guangdong–Hong Kong–Macao Greater Bay Area and the Yangtze River Delta Region." It includes data related to the calculation of regional tourism ecosystem service values from 2000 to 2020, as well as data required for analyzing the driving factors. The dataset is used to assess the tourism ecosystem service value and to explore its spatiotemporal distribution and influencing factors by applying exploratory spatial analysis tools and the optimal parameter Geodetector model. It provides an important reference for regional ecological planning and sustainable tourism development.
DOI: 10.17632/zn8rnpnmr8
title: LINF_210009600

description: NADPH:adrenodoxin oxidoreductase; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.15744279
title: Data related to the article "Ions at electrochemical interfaces: From explicit to implicit molecular solvent descriptions"

description: Contains input files and data used to generate the figures of the article: Ions at electrochemical interfaces: From explicit to implicit molecular solvent descriptions

The folder Input-files contains MetalWalls input files used to perform the simulations.

The folder Data-Figures contains the processed data used to plot all the figures of the article.
DOI: 10.5281/zenodo.15744280
title: Data related to the article "Ions at electrochemical interfaces: From explicit to implicit molecular solvent descriptions"

description: Contains input files and data used to generate the figures of the article: Ions at electrochemical interfaces: From explicit to implicit molecular solvent descriptions

The folder Input-files contains MetalWalls input files used to perform the simulations.

The folder Data-Figures contains the processed data used to plot all the figures of the article.
DOI: 10.17632/zn8rnpnmr8.1
title: LINF_210009600

description: NADPH:adrenodoxin oxidoreductase; Leishmania infantum (strain JPCM5)
DOI: 10.17632/r86vz6gvm5
title: LINF_210009400

description: Ubiquitin carboxyl-terminal hydrolase; Leishmania infantum (strain JPCM5)
DOI: 10.17632/r86vz6gvm5.1
title: LINF_210009400

description: Ubiquitin carboxyl-terminal hydrolase; Leishmania infantum (strain JPCM5)
DOI: 10.17632/wwnn6h9vjg
title: LINF_210009300

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/wwnn6h9vjg.1
title: LINF_210009300

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.14229032
title: EU field boundaries

description: A vector dataset of Field Boundaries, automatically delineated from Sentinel-2 satellite imagery from May-June 2022.

Automatic field delineation refers to the process of automatically tracing the boundaries of agricultural parcels from satellite or aerial imagery. We consider an agricultural parcel as a spatially homogeneous land unit used for agricultural purposes, where a single crop is grown. The result of the FD is a set of closed vector polygons marking the extent of each agricultural parcel. Such polygons are the input to a multitude of applications, ranging from the management of agricultural resources, such as the Area Monitoring for the Common Agricultural Policy, to precision farming, to the estimation of damages to crop yield due to natural (e.g. drought, floods), and human-made disasters (e.g. war). Automatic estimation of parcels with high fidelity in a timely manner allows therefore to characterize the changes of agricultural landscapes due to anthropogenic activities, agricultural practices, and climate change consequences.

Additional links



Automatic Field Delineation Blog post

Dataset description on Fiboa
DOI: 10.5281/zenodo.14842658
title: EU crop mapping on field boundaries

description: Crop type classification for each of the field boundaries from the EU field boundaries dataset. The classification was made with Sentinel-2 satellite imagery timeseries, using data from 2022-01-01 until 2022-12-31. A Transformer-based  deep learning model was used. 

The CSV has two columns: field_boundary_id (corresponding to the field boundary ID from the EU field boundaries dataset) and  classification (the predicted class). 

The predicted class can be one of the following 28 classes: 




crop type




alfalfa_lucerne





green_silo_maize





winter_rapeseed_rape





grain_maize_corn_popcorn





olive_plantations





winter_common_soft_wheat





winter_rye





flowers_ornamental_plants





spring_barley





pasture_meadow_grassland_grass





fallow_land_not_crop





soy_soybeans





other_tree_wood_forest





vineyards_wine_vine_rebland_grapes





clover





oats





fresh_vegetables





summer_barley





winter_barley





rapeseed_rape





potatoes





sugar_beet





legumes_harvested_green





spring_common_soft_wheat





tree_wood_forest





nuts





greenhouse_foil_film





orchards_fruits
DOI: 10.5281/zenodo.14842659
title: EU crop mapping on field boundaries

description: Crop type classification for each of the field boundaries from the EU field boundaries dataset. The classification was made with Sentinel-2 satellite imagery timeseries, using data from 2022-01-01 until 2022-12-31. A Transformer-based  deep learning model was used. 

The CSV has two columns: field_boundary_id (corresponding to the field boundary ID from the EU field boundaries dataset) and  classification (the predicted class). 

The predicted class can be one of the following 28 classes: 




crop type




alfalfa_lucerne





green_silo_maize





winter_rapeseed_rape





grain_maize_corn_popcorn





olive_plantations





winter_common_soft_wheat





winter_rye





flowers_ornamental_plants





spring_barley





pasture_meadow_grassland_grass





fallow_land_not_crop





soy_soybeans





other_tree_wood_forest





vineyards_wine_vine_rebland_grapes





clover





oats





fresh_vegetables





summer_barley





winter_barley





rapeseed_rape





potatoes





sugar_beet





legumes_harvested_green





spring_common_soft_wheat





tree_wood_forest





nuts





greenhouse_foil_film





orchards_fruits
DOI: 10.15468/dl.3gef5m
title: Occurrence Download

description: A dataset containing 9559 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Coffea arabica L."
 ]
}

 The dataset includes 9559 records from 361 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003167-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uqpaqc
title: Occurrence Download

description: A dataset containing 8107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Denmark",
 "TaxonKey is Thymelicus lineola (Ochsenheimer, 1808)"
 ]
}

 The dataset includes 8107 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003168-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j6k9mf
title: Occurrence Download

description: A dataset containing 2512 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Denmark",
 "TaxonKey is Hesperia comma Linnaeus, 1758"
 ]
}

 The dataset includes 2512 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003169-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14883691
title: Data regarding the manuscript: Observation of a Metastable Honeycomb Arrangement of C60 on Ni(111) with (7 × 7) Periodicity: Tailoring an Interface for Organic Spintronics
DOI: 10.5281/zenodo.14883692
title: Data regarding the manuscript: Observation of a Metastable Honeycomb Arrangement of C60 on Ni(111) with (7 × 7) Periodicity: Tailoring an Interface for Organic Spintronics
DOI: 10.15468/dl.48tt7a
title: Occurrence Download

description: A dataset containing 52026 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Afromoths, online database of Afrotropical moth species (Lepidoptera)"
 ]
}

 The dataset includes 52026 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003170-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.duexta
title: Occurrence Download

description: A dataset containing 474 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is South America",
 "Country is Ecuador",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-78.46032 -1.92979,-78.95878 -1.92021,-79.33263 -2.11181,-79.50518 -2.39917,-79.47642 -2.87795,-79.47642 -3.31826,-79.34222 -3.69141,-79.03547 -3.73924,-78.74789 -3.47136,-78.44115 -3.05027,-78.11522 -2.81093,-78.05771 -2.44705,-78.21108 -2.01602,-78.46032 -1.92979))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (CR, VU, NT)",
 "TaxonKey is Tracheophyta",
 "Year 2010-2025"
 ]
}

 The dataset includes 474 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003171-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5pmarg
title: Occurrence Download

description: A dataset containing 20639 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Denmark",
 "TaxonKey is Coenonympha pamphilus (Linnaeus, 1758)"
 ]
}

 The dataset includes 20639 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003172-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14811782
title: Interannual to Multidecadal variability in Denitrification and Biogenic Silica in the Gulf of California during the late Pleistocene

description: Title: Interannual to Multidecadal variability in Denitrification and Biogenic Silica in the Gulf of California during the late Pleistocene.Authors* Pichevin, Laetitia, Email: laetitia.pichevin@ed.ac.uk, Web: University of Edinburgh* Massimo, Bollasina, Email: massimo.bollasina@ed.ac.uk, Web: University of Edinburgh* Alexandra, Nederbragt, Email: nederbragta@cardiff.ac.uk, Web: Cardiff University* Ganeshram, Raja, Email: R.Ganeshram@ed.ac.uk, Web: University of EdinburghAbstract: Nitrogen Isotopic signal (permil) and biogenic silica concentration (weight %) in individually sampled, yearly laminations from Marion Dufresne Calyspo Piston Core MD02-2515 and CASQ core MD02-2517 (Holocene) retrieved from the Guaymas basin, Gulf of Califronia (27°29.01N; 112°04.46W; 881m water depth) in 2002.The data covers 10 annually resolved sections spanning around 200 years each, across the last Glacial-Interglacial cycle (MIS3 to Holocene). The sediment cores were retrieved as part of the IMAGES program during the MONA (North American Margins) cruise on board the Marion Dufresne in 2002.The aim of the data collection was to document interannual to multidecadal variability in denitrification and productivity to understand the natural variability in North-Eastern Pacific deoxygenation and its climatic causes over the late Pleistocene.Methods:The isotopic composition of sedimentary nitrogen (d15N, ‰) was measured by Continuous Flow-Isotope Ratio Mass Spectrometry (CF-IRMS) using a CE instrument NA2500 elemental analyser directly coupled to a VG Isotech Prism mass spectrometer at the University of Edinburgh, School of Geosciences. The determination of the opal content (%) by the molybdate-blue spectrophotometry was adapted from Mortlock and Froelich (1989).ReferencesMortlock, R.A. and P.N. Froelich, A Simple Method for the Rapid-Determination of Biogenic Opal in Pelagic Marine-Sediments. Deep-Sea Research Part a-Oceanographic Research Papers, 1989. 36(9): p. 1415-1426.

Pichevin, L.E., Bollasina, M., Nederbragt, A.J. et al. North Atlantic temperature control on deoxygenation in the northern tropical Pacific. Nat Commun 15, 7919 (2024). https://doi.org/10.1038/s41467-024-52197-6File descriptions: Excel table containing yearly Nitrogen Isotopes (permil) and Biogenic Sillica (weight %) data from 10 annually resolved sections from Calyspo Piston Core MD02-2515 and CASQ core MD02-2517 (Holocene) retrieved from the Guaymas basin, Gulf of Califronia (27°29.01N; 112°04.46W; 881m water depth.Sections III and 2 are of Holocene age (years listed from younger to older), sections 9 and 10 are during the Bolling/Allerod, sections 17 and 26 are from the last glacial period, section 45, 46, 47 and 50 are from Marine Isotopic Stage (MIS) 3.
DOI: 10.5281/zenodo.14811783
title: Interannual to Multidecadal variability in Denitrification and Biogenic Silica in the Gulf of California during the late Pleistocene

description: Title: Interannual to Multidecadal variability in Denitrification and Biogenic Silica in the Gulf of California during the late Pleistocene.Authors* Pichevin, Laetitia, Email: laetitia.pichevin@ed.ac.uk, Web: University of Edinburgh* Massimo, Bollasina, Email: massimo.bollasina@ed.ac.uk, Web: University of Edinburgh* Alexandra, Nederbragt, Email: nederbragta@cardiff.ac.uk, Web: Cardiff University* Ganeshram, Raja, Email: R.Ganeshram@ed.ac.uk, Web: University of EdinburghAbstract: Nitrogen Isotopic signal (permil) and biogenic silica concentration (weight %) in individually sampled, yearly laminations from Marion Dufresne Calyspo Piston Core MD02-2515 and CASQ core MD02-2517 (Holocene) retrieved from the Guaymas basin, Gulf of Califronia (27°29.01N; 112°04.46W; 881m water depth) in 2002.The data covers 10 annually resolved sections spanning around 200 years each, across the last Glacial-Interglacial cycle (MIS3 to Holocene). The sediment cores were retrieved as part of the IMAGES program during the MONA (North American Margins) cruise on board the Marion Dufresne in 2002.The aim of the data collection was to document interannual to multidecadal variability in denitrification and productivity to understand the natural variability in North-Eastern Pacific deoxygenation and its climatic causes over the late Pleistocene.Methods:The isotopic composition of sedimentary nitrogen (d15N, ‰) was measured by Continuous Flow-Isotope Ratio Mass Spectrometry (CF-IRMS) using a CE instrument NA2500 elemental analyser directly coupled to a VG Isotech Prism mass spectrometer at the University of Edinburgh, School of Geosciences. The determination of the opal content (%) by the molybdate-blue spectrophotometry was adapted from Mortlock and Froelich (1989).ReferencesMortlock, R.A. and P.N. Froelich, A Simple Method for the Rapid-Determination of Biogenic Opal in Pelagic Marine-Sediments. Deep-Sea Research Part a-Oceanographic Research Papers, 1989. 36(9): p. 1415-1426.

Pichevin, L.E., Bollasina, M., Nederbragt, A.J. et al. North Atlantic temperature control on deoxygenation in the northern tropical Pacific. Nat Commun 15, 7919 (2024). https://doi.org/10.1038/s41467-024-52197-6File descriptions: Excel table containing yearly Nitrogen Isotopes (permil) and Biogenic Sillica (weight %) data from 10 annually resolved sections from Calyspo Piston Core MD02-2515 and CASQ core MD02-2517 (Holocene) retrieved from the Guaymas basin, Gulf of Califronia (27°29.01N; 112°04.46W; 881m water depth.Sections III and 2 are of Holocene age (years listed from younger to older), sections 9 and 10 are during the Bolling/Allerod, sections 17 and 26 are from the last glacial period, section 45, 46, 47 and 50 are from Marine Isotopic Stage (MIS) 3.
DOI: 10.15468/dl.7f8npe
title: Occurrence Download

description: A dataset containing 1046 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Pyricularia oryzae Cavara"
 ]
}

 The dataset includes 1046 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003173-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25625/l9mtxz/0jcqbf
title: map_9C_6_mt5.mrc

description: :unav
DOI: 10.25625/l9mtxz/0x52gh
title: pdb_trace_9C_08_MT2.pdb

description: :unav
DOI: 10.25625/l9mtxz/24gkxz
title: pdb_trace_9C_18_MT3.pdb

description: :unav
DOI: 10.25625/l9mtxz/ah62hs
title: pdb_trace_9C_07_MT3.pdb

description: :unav
DOI: 10.25625/l9mtxz/cayv04
title: pdb_trace_9C_18_MT1.pdb

description: :unav
DOI: 10.25625/l9mtxz/cvtwaz
title: pdb_trace_9C_31_MT5.pdb

description: :unav
DOI: 10.25625/l9mtxz/dkouuc
title: map_9C_6_mt3-1.mrc

description: :unav
DOI: 10.25625/l9mtxz/dmxofk
title: pdb_trace_9C_31_MT2.pdb

description: :unav
DOI: 10.25625/l9mtxz/euqsdi
title: pdb_trace_9C_05_MT1.pdb

description: :unav
DOI: 10.25625/l9mtxz/fdlbrz
title: pdb_trace_9C_12_mt1.pdb

description: :unav
DOI: 10.25625/l9mtxz/fklefr
title: map_9C_03_MT2.mrc

description: :unav
DOI: 10.25625/l9mtxz/fpbzh9
title: map_9C_31_MT5.mrc

description: :unav
DOI: 10.25625/l9mtxz/g1r14j
title: pdb_trace_9C_16_MT1.pdb

description: :unav
DOI: 10.25625/l9mtxz/grqboo
title: pdb_trace_9C_4_mt3.pdb

description: :unav
DOI: 10.25625/l9mtxz/h9xfi9
title: pdb_trace_9C_18_MT2.pdb

description: :unav
DOI: 10.25625/l9mtxz/ha7k9y
title: map_9C_6_mt2.mrc

description: :unav
DOI: 10.25625/l9mtxz/hiwc5f
title: map_9C_31_MT2.mrc

description: :unav
DOI: 10.25625/l9mtxz/ia5xxk
title: pdb_trace_9C_31_MT11.pdb

description: :unav
DOI: 10.25625/l9mtxz/ib4x7j
title: map_9C_07_MT3.mrc

description: :unav
DOI: 10.25625/l9mtxz/ie7lop
title: map_9C_08_MT2.mrc

description: :unav
DOI: 10.25625/l9mtxz/ijxhuo
title: map_9C_31_MT4.mrc

description: :unav
DOI: 10.25625/l9mtxz/jekokg
title: pdb_trace_9C_31_MT4.pdb

description: :unav
DOI: 10.25625/l9mtxz/m1uby5
title: map_9C_16_MT1.mrc

description: :unav
DOI: 10.25625/l9mtxz/mblsym
title: scope_info.txt

description: :unav
DOI: 10.25625/l9mtxz/n3bmow
title: map_9C_4_mt3.mrc

description: :unav
DOI: 10.25625/l9mtxz/ob7wen
title: pdb_trace_9C_6_mt2.pdb

description: :unav
DOI: 10.25625/l9mtxz/rrnnno
title: map_9C_18_MT3.mrc

description: :unav
DOI: 10.25625/l9mtxz/rrr2tb
title: map_9C_18_MT2.mrc

description: :unav
DOI: 10.25625/l9mtxz/shj7st
title: map_9C_18_MT1.mrc

description: :unav
DOI: 10.25625/l9mtxz/tpinox
title: pdb_trace_9C_4_mt4.pdb

description: :unav
DOI: 10.25625/l9mtxz/twp7bd
title: pdb_trace_9C_16_MT3.pdb

description: :unav
DOI: 10.25625/l9mtxz/wfw8kb
title: pdb_trace_9C_6_mt5.pdb

description: :unav
DOI: 10.25625/l9mtxz/wyzia9
title: pdb_trace_9C_03_MT2.pdb

description: :unav
DOI: 10.25625/l9mtxz/ypuck3
title: pdb_trace_9C_6_mt3-1.pdb

description: :unav
DOI: 10.25625/l9mtxz/ywaogk
title: map_9C_05_MT1.mrc

description: :unav
DOI: 10.25625/l9mtxz/z14z8m
title: map_9C_31_MT11.mrc

description: :unav
DOI: 10.25625/l9mtxz/zuxexk
title: map_9C_12_mt1.mrc

description: :unav
DOI: 10.25625/l9mtxz
title: shortening_2019-Jul

description: Densities and traces of shortening microtubule ends imaged in July 2019
DOI: 10.25625/l9mtxz/15eqpg
title: map_9C_16_MT3.mrc

description: :unav
DOI: 10.25625/l9mtxz/xeandx
title: map_9C_4_mt4.mrc

description: :unav
DOI: 10.25625/v5gwxe
title: growing_2020-Oct

description: Densities and traces of growing microtubule ends imaged in October 2020
DOI: 10.25625/v5gwxe/0arfxy
title: map_mt_at58_mt1.mrc

description: :unav
DOI: 10.25625/v5gwxe/afjs6o
title: map_mt_at54_mt1.mrc

description: :unav
DOI: 10.25625/v5gwxe/bg8q0y
title: map_mt_at48_mt1.mrc

description: :unav
DOI: 10.25625/v5gwxe/bvzyyj
title: map_mt_at50_mt1.mrc

description: :unav
DOI: 10.25625/v5gwxe/bwrolt
title: pdb_trace_mt_at56_mt1-1.pdb

description: :unav
DOI: 10.25625/v5gwxe/c5fvxo
title: pdb_trace_mt_at50_mt1.pdb

description: :unav
DOI: 10.25625/v5gwxe/c8aaeg
title: map_mt_at56_mt1-1.mrc

description: :unav
DOI: 10.25625/v5gwxe/dourfg
title: pdb_trace_mt_at58_mt1.pdb

description: :unav
DOI: 10.25625/v5gwxe/dqzdcs
title: map_mt_at56_mt1-2.mrc

description: :unav
DOI: 10.25625/v5gwxe/hejhul
title: map_mt_at57_mt3.mrc

description: :unav
DOI: 10.25625/v5gwxe/hwyg9l
title: pdb_trace_mt_at57_mt1plus.pdb

description: :unav
DOI: 10.25625/v5gwxe/ipcqdb
title: map_mt_at59_mt1-1.mrc

description: :unav
DOI: 10.25625/v5gwxe/jlghrh
title: pdb_trace_mt_at48_mt1.pdb

description: :unav
DOI: 10.25625/v5gwxe/mulhzy
title: pdb_trace_mt_at54_mt1.pdb

description: :unav
DOI: 10.25625/v5gwxe/qo29uf
title: pdb_trace_mt_at57_mt3.pdb

description: :unav
DOI: 10.25625/v5gwxe/shsix4
title: scope_info.txt

description: :unav
DOI: 10.25625/v5gwxe/stmz6f
title: map_mt_at46_mt1.mrc

description: :unav
DOI: 10.25625/v5gwxe/ugfk4m
title: pdb_trace_mt_at59_mt1-1.pdb

description: :unav
DOI: 10.25625/v5gwxe/x79giu
title: map_mt_at57_mt1plus.mrc

description: :unav
DOI: 10.25625/v5gwxe/yj9rgj
title: pdb_trace_mt_at46_mt1.pdb

description: :unav
DOI: 10.25625/v5gwxe/yyebbb
title: pdb_trace_mt_at56_mt1-2.pdb

description: :unav
DOI: 10.25625/0zlkes/13ttq1
title: map_NeCEN_mts_at61_mt1.mrc

description: :unav
DOI: 10.25625/0zlkes/1mdqvs
title: map_NeCEN_mts_at120_mt1.mrc

description: :unav
DOI: 10.25625/0zlkes/6hsonf
title: map_NeCEN_mts_at142_mt1.mrc

description: :unav
DOI: 10.25625/0zlkes/bxyckf
title: pdb_trace_NeCEN_mts_at97_mt1.pdb

description: :unav
DOI: 10.25625/0zlkes/cmcjbe
title: map_NeCEN_mts_at136_mt3.mrc

description: :unav
DOI: 10.25625/0zlkes/co9fmx
title: pdb_trace_NeCEN_mts_at71_mt1.pdb

description: :unav
DOI: 10.25625/0zlkes/dk2k3a
title: pdb_trace_NeCEN_mts_at99_mt3.pdb

description: :unav
DOI: 10.25625/0zlkes/fluaue
title: scope_info.txt

description: :unav
DOI: 10.25625/0zlkes/fmu9u8
title: pdb_trace_NeCEN_mts_at55_mt1.pdb

description: :unav
DOI: 10.25625/0zlkes/kztibp
title: map_NeCEN_mts_at149_mt1.mrc

description: :unav
DOI: 10.25625/0zlkes/m1qadn
title: map_NeCEN_mts_at71_mt1.mrc

description: :unav
DOI: 10.25625/0zlkes/mvrw27
title: map_NeCEN_mts_at97_mt1.mrc

description: :unav
DOI: 10.25625/0zlkes/ohobrc
title: map_NeCEN_mts_at55_mt1.mrc

description: :unav
DOI: 10.25625/0zlkes/ptaok3
title: map_NeCEN_mts_at128_mt1.mrc

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DOI: 10.25625/0zlkes/rvttc8
title: map_NeCEN_mts_at124_mt1.mrc

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DOI: 10.25625/0zlkes/srhd73
title: map_NeCEN_mts_at99_mt3.mrc

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DOI: 10.25625/0zlkes/ss3xku
title: pdb_trace_NeCEN_mts_at128_mt1.pdb

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DOI: 10.25625/0zlkes/t7zjb2
title: pdb_trace_NeCEN_mts_at149_mt1.pdb

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DOI: 10.25625/0zlkes/viw2my
title: pdb_trace_NeCEN_mts_at120_mt1.pdb

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DOI: 10.25625/0zlkes/w927d0
title: pdb_trace_NeCEN_mts_at61_mt1.pdb

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DOI: 10.25625/0zlkes/xiurli
title: map_NeCEN_mts_at155_mt2.mrc

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DOI: 10.25625/0zlkes/xixvkf
title: map_NeCEN_mts_at138_mt1.mrc

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DOI: 10.25625/0zlkes/xjtn20
title: pdb_trace_NeCEN_mts_at142_mt1.pdb

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DOI: 10.25625/0zlkes/yhqhhs
title: pdb_trace_NeCEN_mts_at136_mt3.pdb

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DOI: 10.25625/0zlkes
title: growing_2021-Apr

description: Densities and traces of growing microtubule ends imaged in April 2021
DOI: 10.25625/0zlkes/2pteut
title: pdb_trace_NeCEN_mts_at124_mt1.pdb

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DOI: 10.25625/0zlkes/bm6zkz
title: pdb_trace_NeCEN_mts_at138_mt1.pdb

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DOI: 10.25625/0zlkes/oxkqjq
title: pdb_trace_NeCEN_mts_at99_mt2.pdb

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DOI: 10.25625/0zlkes/zehyyc
title: pdb_trace_NeCEN_mts_at155_mt2.pdb

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DOI: 10.25625/0zlkes/zshtle
title: map_NeCEN_mts_at99_mt2.mrc

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