cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3adxpt
title: Occurrence Download

description: A dataset containing 6669 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bombus terrestris (Linnaeus, 1758), Andrena haemorrhoa (Fabricius, 1781), Xylocopa appendiculata Smith, 1852, Trigona carbonaria Smith, 1854, Melipona beecheii Bennett, 1831, Apis andreniformis Smith, 1857, Apis florea Fabricius, 1787, Apis laboriosa Smith, 1871, Apis dorsata Fabricius, 1793, Apis cerana Fabricius, 1793, Apis mellifera Linnaeus, 1758)",
 "Year is 2000"
 ]
}

 The dataset includes 6669 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002358-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rwa9ra
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhaphidophora korthalsii Schott)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 108 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002362-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.f3nb9084
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1163327 records)
DOI: 10.5281/zenodo.15005217
title: Spectral flow cytometry for detecting DNA cargo in malaria parasite-derived extracellular vesicles

description: Cells across biological kingdoms release extracellular vesicles (EVs) as a means of communication with other cells, be their friends or foes. This is indeed true for the intracellular malaria parasite Plasmodium falciparum (Pf), which utilizes EVs to transport bioactive molecules to various human host systems. Yet, the study of this mode of communication in malaria research is currently constrained due to limitations in high-resolution tools and the absence of commercial antibodies. Here, we demonstrate the power of an advanced spectral flow cytometry approach to robustly detect secreted EVs, isolated from Pf-infected red blood cells. By labeling both EV membrane lipids and the DNA cargo within (non-antibody staining approach), we were able to detect a subpopulation of parasitic-derived EVs enriched in DNA. Furthermore, we could quantitatively measure the DNA-carrying EVs isolated from two distinct blood stages of the parasite: rings and trophozoites. Our findings showcase the potential of spectral flow cytometry to monitor dynamic changes in nucleic acid cargo within pathogenic EVs.
DOI: 10.5281/zenodo.15005218
title: Spectral flow cytometry for detecting DNA cargo in malaria parasite-derived extracellular vesicles

description: Cells across biological kingdoms release extracellular vesicles (EVs) as a means of communication with other cells, be their friends or foes. This is indeed true for the intracellular malaria parasite Plasmodium falciparum (Pf), which utilizes EVs to transport bioactive molecules to various human host systems. Yet, the study of this mode of communication in malaria research is currently constrained due to limitations in high-resolution tools and the absence of commercial antibodies. Here, we demonstrate the power of an advanced spectral flow cytometry approach to robustly detect secreted EVs, isolated from Pf-infected red blood cells. By labeling both EV membrane lipids and the DNA cargo within (non-antibody staining approach), we were able to detect a subpopulation of parasitic-derived EVs enriched in DNA. Furthermore, we could quantitatively measure the DNA-carrying EVs isolated from two distinct blood stages of the parasite: rings and trophozoites. Our findings showcase the potential of spectral flow cytometry to monitor dynamic changes in nucleic acid cargo within pathogenic EVs.
DOI: 10.15468/dl.q35b89
title: Occurrence Download

description: A dataset containing 388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solidago L.",
 "Country is Hungary",
 "HasCoordinate is true"
 ]
}

 The dataset includes 388 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002365-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3x6ewa
title: Occurrence Download

description: A dataset containing 388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solidago L.",
 "Country is Hungary",
 "HasCoordinate is true"
 ]
}

 The dataset includes 388 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002367-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d34pnc
title: Occurrence Download

description: A dataset containing 144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera leo (Linnaeus, 1758)"
 ]
}

 The dataset includes 144 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002368-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.jap.28443521
title: Supporting Information

description: The provided supplementary material includes additional data and analyses supporting the findings in the main text. Key components include: (1) Median spall strengths and related properties of metals and alloys, (2) Linear regression parity plot illustrating model accuracy, (3) Correlation plots showing relationships among features, (4) Feature selection criteria and rationale, and (5) Estimations of experimental uncertainties for spall strength measurements across multiple samples.
DOI: 10.60893/figshare.jap.28443521.v1
title: Supporting Information

description: The provided supplementary material includes additional data and analyses supporting the findings in the main text. Key components include: (1) Median spall strengths and related properties of metals and alloys, (2) Linear regression parity plot illustrating model accuracy, (3) Correlation plots showing relationships among features, (4) Feature selection criteria and rationale, and (5) Estimations of experimental uncertainties for spall strength measurements across multiple samples.
DOI: 10.5281/zenodo.15005357
title: Raw diffraction dataset of GH29 alpha-L-fucosidase from Fusarium Proliferatum LE1 (FpFucB)

description: The dataset used to solve and refine the PDB structure 9LXL (https://www.rcsb.org/structure/9LXL).

The FpFucB crystal belongs to space group P 41 21 2 with unit cell parameters a=76.76, b=76.76, c=225.34 Å.

Diffraction data were collected at SSRF (Shanghai Synchrotron Radiation Facility) beam line BL17UM.
DOI: 10.5281/zenodo.15005358
title: Raw diffraction dataset of GH29 alpha-L-fucosidase from Fusarium Proliferatum LE1 (FpFucB)

description: The dataset used to solve and refine the PDB structure 9LXL (https://www.rcsb.org/structure/9LXL).

The FpFucB crystal belongs to space group P 41 21 2 with unit cell parameters a=76.76, b=76.76, c=225.34 Å.

Diffraction data were collected at SSRF (Shanghai Synchrotron Radiation Facility) beam line BL17UM.
DOI: 10.48597/cff7-zmjr
title: Measurement of Inorganics in precipitation at Valentia Observatory

description: Measurement of Inorganics in precipitation at Valentia Observatory
DOI: 10.48597/6psy-aufr
title: Inorganics in precipitation at Valentia Observatory

description: Measurement of Inorganics in precipitation at Valentia Observatory
DOI: 10.48597/czbg-nq5n
title: Measurement of Inorganics in precipitation at Valentia Observatory

description: Measurement of Inorganics in precipitation at Valentia Observatory
DOI: 10.48597/m4y5-p737
title: Measurement of Inorganics in precipitation at Valentia Observatory

description: Measurement of Inorganics in precipitation at Valentia Observatory
DOI: 10.48597/wy2m-z5sf
title: Measurement of Inorganics in precipitation at Valentia Observatory

description: Measurement of Inorganics in precipitation at Valentia Observatory
DOI: 10.60893/figshare.jcp.28414859
title: Supplement

description: Raw data, see readme files
DOI: 10.60893/figshare.jcp.28414859.v1
title: Supplement

description: Raw data, see readme files
DOI: 10.60893/figshare.jcp.28431980
title: Supplement 1

description: Raw data of Total energies and Excitation energies
DOI: 10.60893/figshare.jcp.28431980.v1
title: Supplement 1

description: Raw data of Total energies and Excitation energies
DOI: 10.17028/rd.lboro.28553543
title: Supplementary information files for "Epitaxy of GaSe coupled to graphene: From in situ band engineering to photon sensing"

description: Supplementary files for article " Epitaxy of GaSe Coupled to Graphene: From In Situ Band Engineering to Photon Sensing"2D semiconductors can drive advances in quantum science and technologies. However, they should be free of any contamination; also, the crystallographic ordering and coupling of adjacent layers and their electronic properties should be well‐controlled, tunable, and scalable. Here, these challenges are addressed by a new approach, which combines molecular beam epitaxy and in situ band engineering in ultra‐high vacuum of semiconducting gallium selenide (GaSe) on graphene. In situ studies by electron diffraction, scanning probe microscopy, and angle‐resolved photoelectron spectroscopy reveal that atomically‐thin layers of GaSe align in the layer plane with the underlying lattice of graphene. The GaSe/graphene heterostructure, referred to as 2semgraphene, features a centrosymmetric (group symmetry D<sub>3d</sub>) polymorph of GaSe, a charge dipole at the GaSe/graphene interface, and a band structure tunable by the layer thickness. The newly‐developed, scalable 2semgraphene is used in optical sensors that exploit the photoactive GaSe layer and the built‐in potential at its interface with the graphene channel. This proof of concept has the potential for further advances and device architectures that exploit 2semgraphene as a functional building block.<br><br>© The Author(s) CC BY 4.0
DOI: 10.17028/rd.lboro.28553543.v1
title: Supplementary information files for "Epitaxy of GaSe coupled to graphene: From in situ band engineering to photon sensing"

description: Supplementary files for article " Epitaxy of GaSe Coupled to Graphene: From In Situ Band Engineering to Photon Sensing"2D semiconductors can drive advances in quantum science and technologies. However, they should be free of any contamination; also, the crystallographic ordering and coupling of adjacent layers and their electronic properties should be well‐controlled, tunable, and scalable. Here, these challenges are addressed by a new approach, which combines molecular beam epitaxy and in situ band engineering in ultra‐high vacuum of semiconducting gallium selenide (GaSe) on graphene. In situ studies by electron diffraction, scanning probe microscopy, and angle‐resolved photoelectron spectroscopy reveal that atomically‐thin layers of GaSe align in the layer plane with the underlying lattice of graphene. The GaSe/graphene heterostructure, referred to as 2semgraphene, features a centrosymmetric (group symmetry D<sub>3d</sub>) polymorph of GaSe, a charge dipole at the GaSe/graphene interface, and a band structure tunable by the layer thickness. The newly‐developed, scalable 2semgraphene is used in optical sensors that exploit the photoactive GaSe layer and the built‐in potential at its interface with the graphene channel. This proof of concept has the potential for further advances and device architectures that exploit 2semgraphene as a functional building block.<br><br>© The Author(s) CC BY 4.0
DOI: 10.34965/i53416
title: 20245177
DOI: 10.60893/figshare.jcp.28431902
title: Supplementary Information for Publication

description: Supporting Information containing additional data and figures for publication with the revised
DOI: 10.60893/figshare.jcp.28431902.v1
title: Supplementary Information for Publication

description: Supporting Information containing additional data and figures for publication with the revised
DOI: 10.15468/dl.4rz7b4
title: Occurrence Download

description: A dataset containing 127782 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((4.63022 52.9593,4.97316 52.9593,4.97316 53.24534,4.63022 53.24534,4.63022 52.9593))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 127782 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002349-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.npgp8n
title: Occurrence Download

description: A dataset containing 60030 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Finland",
 "TaxonKey is Populus tremula L."
 ]
}

 The dataset includes 60030 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002352-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.76bsjj
title: Occurrence Download

description: A dataset containing 324 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Megophrys boettgeri (Boulenger, 1899)"
 ]
}

 The dataset includes 324 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002371-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15005747
title: Supplementary material: DWW data of basic psychological needs' affirmations

description: This file is the data set containing the participants' basic psychological needs' affirmations, used in the paper titled "Supporting teachers' reflection on their digital well-being".
DOI: 10.5281/zenodo.15005748
title: Supplementary material: DWW data of basic psychological needs' affirmations

description: This file is the data set containing the participants' basic psychological needs' affirmations, used in the paper titled "Supporting teachers' reflection on their digital well-being".
DOI: 10.15468/dl.9nsk4r
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solidago virgaurea L.",
 "Country is Hungary",
 "HasCoordinate is true"
 ]
}

 The dataset includes 57 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002370-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.pof.28513541
title: Detailed parameters of LAR model

description: This file is the supplementary material for the detailed rate coefficients of the reduced model in section 4
DOI: 10.60893/figshare.pof.28429748
title: Supplementary Material

description: The parameters of two fitted curves and the residual of diffusion coefficient obtained from between the numerical experiment and their corresponding function formula
DOI: 10.60893/figshare.pof.28429748.v1
title: Supplementary Material

description: The parameters of two fitted curves and the residual of diffusion coefficient obtained from between the numerical experiment and their corresponding function formula
DOI: 10.5281/zenodo.14974933
title: Publication and dataset for "New polymorph γ-CuWO4 inspired by γ-CuMoO4: experimental identification and theoretical verification"

description: Publication and dataset for "New polymorph γ-CuWO4 inspired by γ-CuMoO4: experimental identification and theoretical verification"
DOI: 10.5281/zenodo.14974934
title: Publication and dataset for "New polymorph γ-CuWO4 inspired by γ-CuMoO4: experimental identification and theoretical verification"

description: Publication and dataset for "New polymorph γ-CuWO4 inspired by γ-CuMoO4: experimental identification and theoretical verification"
DOI: 10.5281/zenodo.15005783
title: Publication and dataset for "New polymorph γ-CuWO4 inspired by γ-CuMoO4: experimental identification and theoretical verification"

description: Publication and dataset for "New polymorph γ-CuWO4 inspired by γ-CuMoO4: experimental identification and theoretical verification"
DOI: 10.15468/dl.ktd6ap
title: Occurrence Download

description: A dataset containing 3128919 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Podiceps cristatus (Linnaeus, 1758)"
 ]
}

 The dataset includes 3128919 records from 2246 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002347-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/08fvb7
title: mesh_PHI3-CHI21_14286.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/7slyf3
title: mesh_PHI3-CHI21_14283.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/aokile
title: mesh_PHI3-CHI21_14284.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/jsupjo
title: fer10_0_014.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/kpp6cy
title: fer10_0_013.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/riuugx
title: fer10_0_009.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/tcmuxo
title: mesh_PHI3-CHI21_14282.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/vfrhga
title: fer10_0_011.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/viuy9e
title: mesh_PHI3-CHI21_14281.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/wwfv7r
title: mesh_PHI3-CHI21_14285.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/xrvu8b
title: fer10_0_012.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/zesirx
title: fer10_0_010.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/8krv59
title: mesh_PHI3-CHI21_14289.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/8vo9cg
title: mesh_PHI3-CHI21_14288.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/9o5eh5
title: fer10_0_020.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/fbew5j
title: mesh_PHI3-CHI21_14287.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/if6qdp
title: mesh_PHI3-CHI21_14292.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/jwmfsn
title: fer10_0_018.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/kowwu4
title: mesh_PHI3-CHI21_14290.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/qgsfpb
title: fer10_0_015.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/riqofl
title: fer10_0_019.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/rvru7y
title: mesh_PHI3-CHI21_14291.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/sdxgns
title: fer10_0_016.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/zb90dq
title: fer10_0_017.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/2q1nq8
title: mesh_PHI3-CHI21_14295.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/6degje
title: fer10_0_022.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/cejdfq
title: fer10_0_021.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/i5nuo7
title: fer10_0_025.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/n5up7z
title: fer10_0_026.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/rffrzk
title: mesh_PHI3-CHI21_14296.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/soiuor
title: fer10_0_023.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/vg8vbc
title: fer10_0_024.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/xfdtam
title: mesh_PHI3-CHI21_14294.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/zmcneh
title: mesh_PHI3-CHI21_14297.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/zxihln
title: mesh_PHI3-CHI21_14293.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/12s8ta
title: mesh_PHI3-CHI21_14300.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/e1kikp
title: mesh_PHI3-CHI21_14303.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/e5mqr8
title: fer10_0_029.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/e81a44
title: fer10_0_031.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/esnq5u
title: fer10_0_030.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/izegwe
title: mesh_PHI3-CHI21_14302.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/jjyb0b
title: mesh_PHI3-CHI21_14299.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/uzno36
title: fer10_0_027.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/w5eq0o
title: mesh_PHI3-CHI21_14301.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/xvrlje
title: mesh_PHI3-CHI21_14298.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/y8ix6h
title: fer10_0_028.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/0vsbio
title: fer10_0_037.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/7pkmkl
title: fer10_0_032.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/8icfib
title: mesh_PHI3-CHI21_14306.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/gvdxjn
title: mesh_PHI3-CHI21_14309.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/ishnpn
title: mesh_PHI3-CHI21_14307.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/jy0hae
title: fer10_0_033.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/jzqqyv
title: fer10_0_034.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/np8qjh
title: mesh_PHI3-CHI21_14304.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/oclynm
title: fer10_0_038.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/oyoeqy
title: fer10_0_036.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/sig6ln
title: mesh_PHI3-CHI21_14305.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/v22hfq
title: mesh_PHI3-CHI21_14308.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16
DOI: 10.57745/xxzau4
title: fer10_0_035.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.57745/aty34k
title: mesh_PHI3-CHI21_14310.nxs

description: P61A-PETRAIII-DESY GFAC Base_Fe Fe SFe16