cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57745/vbiouv
title: fer10_1_031.mca

description: mca datafile base_Fe Iron sample 10 Detector_1
DOI: 10.57745/trdbtn
title: fer10_1_032.mca

description: mca datafile base_Fe Iron sample 10 Detector_1
DOI: 10.57745/zvg3d9
title: fer10_1_033.mca

description: mca datafile base_Fe Iron sample 10 Detector_1
DOI: 10.57745/ylm3eo
title: fer10_1_034.mca

description: mca datafile base_Fe Iron sample 10 Detector_1
DOI: 10.57745/ajypzn
title: fer10_1_035.mca

description: mca datafile base_Fe Iron sample 10 Detector_1
DOI: 10.57745/sl08kj
title: fer10_1_036.mca

description: mca datafile base_Fe Iron sample 10 Detector_1
DOI: 10.57745/kxgzgs
title: fer10_1_037.mca

description: mca datafile base_Fe Iron sample 10 Detector_1
DOI: 10.57745/in0vgn
title: fer10_1_038.mca

description: mca datafile base_Fe Iron sample 10 Detector_1
DOI: 10.57745/dajfrn
title: fer10_1_039.mca

description: mca datafile base_Fe Iron sample 10 Detector_1
DOI: 10.57745/8yb24r
title: fer10_1_040.mca

description: mca datafile base_Fe Iron sample 10 Detector_1
DOI: 10.57745/3kxf8o
title: fer10_1_041.mca

description: mca datafile base_Fe Iron sample 10 Detector_1
DOI: 10.57745/gfnakd
title: fer10_1_042.mca

description: mca datafile base_Fe Iron sample 10 Detector_1
DOI: 10.57745/opgfef
title: fer10_1_043.mca

description: mca datafile base_Fe Iron sample 10 Detector_1
DOI: 10.57745/2fyy9m
title: fer10_1_044.mca

description: mca datafile base_Fe Iron sample 10 Detector_1
DOI: 10.57745/3fvqw3
title: fer10_1_045.mca

description: mca datafile base_Fe Iron sample 10 Detector_1
DOI: 10.57745/1by4bu
title: fer10_1_046.mca

description: mca datafile base_Fe Iron sample 10 Detector_1
DOI: 10.57745/r3rrez
title: fer10_1_047.mca

description: mca datafile base_Fe Iron sample 10 Detector_1
DOI: 10.57745/ksgpqu
title: fer10_1_048.mca

description: mca datafile base_Fe Iron sample 10 Detector_1
DOI: 10.57745/udeycu
title: fer10_1_049.mca

description: mca datafile base_Fe Iron sample 10 Detector_1
DOI: 10.57745/tymcu9
title: fer10_1_050.mca

description: mca datafile base_Fe Iron sample 10 Detector_1
DOI: 10.57745/uv6hbv
title: fer10_1_051.mca

description: mca datafile base_Fe Iron sample 10 Detector_1
DOI: 10.57745/ucbgrs
title: fer10_1_052.mca

description: mca datafile base_Fe Iron sample 10 Detector_1
DOI: 10.57745/l5xai1
title: fer11_0_001.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.23668/psycharchives.12978
title: Dataset for: How happy is happy enough? A cross-cultural comparison of optimal cut points for the Positive Mental Health Scale.

description: Objective: As positive mental health (PMH) has a significant impact on general and mental health, it is an important target for interventions. Cut points are a useful basis for identifying participants with a greater need for such interventions. Method: Representative (n=15,370) and student (n=22,833) samples from Germany, Russia, the US, and China were re-analyzed. Three different anchors were used as reference to determine optimal cut points: (1) the Satisfaction with Life Scale, (2) a combined measure of PMH-related questionnaires, and (3) the General Assessment of Functioning Scale. A kernel-based method to determine optimal cut points and bootstrapping to identify potential cross-cultural differences were used. Results: Acceptable to excellent levels of classification accuracy were found in relation to life satisfaction and the combined measure (AUCs between 0.74 and 0.89) across all samples. Using the General Assessment of Functioning Scale resulted in poor discriminatory power (AUC=.69). Cut points identified as optimal differed systematically between countries and samples. The lowest cut points were found in Germany and the highest in the US with Russia and China in between. Cut points for students were lower than for the general population. Conclusions: Country and sample specific cut points for the PMH-scale should be used to identify individuals with high versus low levels of positive mental health. Specifically, we suggest using cut points of 19, 22, and 24 in Germany, Russia, and the US, respectively. For student samples, we recommend cut points of 18, 19 and 20 in Germany, Russia, and China, respectively.
DOI: 10.57745/rxxbdm
title: fer11_0_002.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/ltb04s
title: fer11_0_003.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/hhh1xu
title: fer11_0_004.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/ck26ln
title: fer11_0_005.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/wr0oly
title: fer11_0_006.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/npnghp
title: fer11_0_007.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/sjdnnn
title: fer11_0_008.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.15468/dl.c4qrpp
title: Occurrence Download

description: A dataset containing 848 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepidorhombus boscii (Risso, 1810)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 848 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014029-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/1vhchj
title: fer11_0_009.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.48579/pro/qlnqrs
title: Meterological and terrain data for Lesser Kestrel habitat use prediction in Aumelas Wind farm

description: The data in the associated folder allow the analysis described in the paper: "Modelling lesser kestrel haitat selection according to meteorological conditions to identify risk-inducing wind turbines" published in Ornithological Applications. All GPS tracking data are accessible through the Movebank plateform in the study: "Falco naumanni Aumelas wind farm interactions [ID_PROG 311]". All scripts are in R and the method to process the data is described in the paper.
DOI: 10.48579/pro/qlnqrs/yqdeom
title: windTurbinesKestrels.zip

description: :unav
DOI: 10.57745/bo8q8t
title: fer11_0_010.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/49otdw
title: fer11_0_011.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/obuedp
title: fer11_0_012.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/l4bxov
title: fer11_0_013.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/9wipai
title: fer11_0_014.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/rnkrwz
title: fer11_0_015.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.15468/dl.t6zcux
title: Occurrence Download

description: A dataset containing 4304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lagocephalus sceleratus (Gmelin, 1789)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4304 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014027-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/qmkm59
title: fer11_0_016.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.15468/dl.8zk292
title: Occurrence Download

description: A dataset containing 6192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepidopus caudatus (Euphrasen, 1788)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6192 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014028-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/s0veht
title: fer11_0_017.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/7fdjvw
title: fer11_0_018.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/f3lkv7
title: fer11_0_019.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/4dkx7p
title: fer11_0_020.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/tcfo0f
title: fer11_0_021.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.23668/psycharchives.12981
title: Dataset for: Identifying a Set of Key Paradata Indicators in Web Surveys

description: Datafile and codebook for the paper Identifying a Set of Key Paradata Indicators in Web Surveys Based on Relationship with Response Quality, Respondent Characteristics, and Substantive Variables.
DOI: 10.57745/f4w0ij
title: fer11_0_022.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/fuqtsu
title: fer11_0_023.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/opnkfy
title: fer11_0_024.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/ljmuu0
title: fer11_0_025.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/utgrsz
title: fer11_0_026.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/lk8mwj
title: fer11_0_027.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/i3vlzt
title: fer11_0_028.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/rtrx4d
title: fer11_0_029.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/ejmgr5
title: fer11_0_030.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/vmaos3
title: fer11_0_031.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.5281/zenodo.14258414
title: A cosmopolitan invader – Choreutis sexfasciella (Lepidoptera: Choreutidae) – in Cyprus: first record, molecular characterization, and a native parasitoid
DOI: 10.57745/ml3wd9
title: fer11_0_032.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.5281/zenodo.14258413
title: A cosmopolitan invader – Choreutis sexfasciella (Lepidoptera: Choreutidae) – in Cyprus: first record, molecular characterization, and a native parasitoid
DOI: 10.5281/zenodo.14264419
title: A cosmopolitan invader – Choreutis sexfasciella (Lepidoptera: Choreutidae) – in Cyprus: first record, molecular characterization, and a native parasitoid
DOI: 10.57745/myhzh3
title: fer11_0_033.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/b1wz5c
title: fer11_0_034.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.15468/dl.8u7ayw
title: Occurrence Download

description: A dataset containing 0 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 one of (Albizia julibrissin f. rosea (Carrière) Rehder)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014030-241126133413365/datasets/export for details.
DOI: 10.57745/6qhsvn
title: fer11_0_035.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/cgsjur
title: fer11_0_036.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/usbkpn
title: fer11_0_037.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/2bgl7j
title: fer11_0_038.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/sx0wdu
title: fer11_0_039.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/3wavqh
title: fer11_0_040.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/eirk1f
title: fer11_0_041.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/cnf4hh
title: fer11_0_042.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/tt1zhg
title: fer11_0_043.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/6efcq2
title: fer11_0_044.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/oqwjog
title: fer11_0_045.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/neu4da
title: fer11_0_046.mca

description: mca datafile base_Fe Iron sample 11 Detector_0
DOI: 10.57745/650vuh
title: fer11_1_001.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/cdajwa
title: fer11_1_002.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/ybcswu
title: fer11_1_003.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/8kxnwx
title: fer11_1_004.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.5281/zenodo.14236441
title: Phenotypic and genotypic data of genomic selection study of spring frost tolerance of Norway spruce
DOI: 10.57745/oql7se
title: fer11_1_005.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/mpuwza
title: fer11_1_006.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/1e4f7t
title: fer11_1_007.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/qkvmdw
title: fer11_1_008.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/rn2k6n
title: fer11_1_009.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.15468/dl.vte94y
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus spinosa David ex Franch.",
 "HasCoordinate is true",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 30 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014032-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/dmlrsq
title: fer11_1_010.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.5281/zenodo.14191657
title: Deep-Drawn U-Shaped Sheet Metal CAD Files Derived from NHTSA Crash Vehicles

description: This dataset contains 90 U-shaped CAD geometries that are derived from the NHTSA crash vehicle simulation models. The geometries undergo a series of modifications:



Shape Filtering: Select meshes suitable for deep drawing with a U-shaped profile.

Duplicate Removal: Exclude symmetrical duplicates from vehicle structures.

Boundary Representation Entity Definition: Place vertices on characteristic mesh features. Connect vertices with edges. Create faces from closed edge loops.

Model Transformation: Orient models with drawing direction along -z, length along x, and width along y.


The final CAD geometries represent the post-deep drawing state. Geometries are provided in neutral STEP format, each accompanied by an image. Further specifications are given in the associated publication(s).

We want to thank the National Highway Traffic Safety Administration for providing the crash models and the allowance to publish a dataset. We want to inform users of the dataset that a sophisticated engineering evaluation has to be conducted whether the provided models should be used in crash simulation.
DOI: 10.5281/zenodo.14191658
title: Deep-Drawn U-Shaped Sheet Metal CAD Files Derived from NHTSA Crash Vehicles

description: This dataset contains 90 U-shaped CAD geometries that are derived from the NHTSA crash vehicle simulation models. The geometries undergo a series of modifications:



Shape Filtering: Select meshes suitable for deep drawing with a U-shaped profile.

Duplicate Removal: Exclude symmetrical duplicates from vehicle structures.

Boundary Representation Entity Definition: Place vertices on characteristic mesh features. Connect vertices with edges. Create faces from closed edge loops.

Model Transformation: Orient models with drawing direction along -z, length along x, and width along y.


The final CAD geometries represent the post-deep drawing state. Geometries are provided in neutral STEP format, each accompanied by an image. Further specifications are given in the associated publication(s).

We want to thank the National Highway Traffic Safety Administration for providing the crash models and the allowance to publish a dataset. We want to inform users of the dataset that a sophisticated engineering evaluation has to be conducted whether the provided models should be used in crash simulation.
DOI: 10.57745/miv6o2
title: fer11_1_011.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/yoj9y7
title: fer11_1_012.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/mszqmc
title: fer11_1_013.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/8kq8wx
title: fer11_1_014.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/zjkobh
title: fer11_1_015.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/a0cq2p
title: fer11_1_016.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/x3stvx
title: fer11_1_017.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/4zipdk
title: fer11_1_018.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/gripqs
title: fer11_1_019.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/k2kjnb
title: fer11_1_020.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/6dipcf
title: fer11_1_021.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/fpnyn8
title: fer11_1_022.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/onnvks
title: fer11_1_023.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/uo0475
title: fer11_1_024.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/gc0bea
title: fer11_1_025.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/agzdeg
title: fer11_1_026.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/u2oepu
title: fer11_1_027.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/qzd4sa
title: fer11_1_028.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/cp33uq
title: fer11_1_029.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/pbllkf
title: fer11_1_030.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/yisdbh
title: fer11_1_031.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/talnz0
title: fer11_1_032.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/g7ypty
title: fer11_1_033.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/prd9qc
title: fer11_1_034.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.5281/zenodo.10245475
title: Federation of Vehicular Data in Smart Villages with Socioeconomic Information

description: We present a dataset tailored for monitoring vehicle activity in a rural environment, specifically the Barranco de Poqueira region, covering the municipalities of Pampaneira, Bubión, and Capileira within the Sierra Nevada National Park, Granada, Spain. The dataset is generated by four Hikvision License Plate Recognition (LPR) cameras, capturing vehicle entries and exits in each village. To enrich the dataset, we include additional contextual details such as vacation calendars, vehicle origins, and socio-demographic information. Spanning from February to October 2022, the dataset is organized into three files: one with raw data directly from the cameras, another aggregated at the visit level with contextual information, and a third aggregated by vehicles with context details. With potential applications in mobility studies, urban planning, tourism, and socio-demographic analysis, the dataset is structured into three distinct files, encompassing a total of 43 different variables.

The RAW_SMART_POQUEIRA.csv file contains information about 4 variables: num_plate_ID, camera_ID, date, and direction.

The file VEHICLES_SMART_POQUEIRA.csv contains information about 33 variables: num_plate_ID, visit_time, distance, num_holiday, num_workday, num_high_season, num_low_season, entry_in_high_season, entry_in_holiday, nights, visits_dif_weeks, visits_dif_months, total_entries, avg_visit, std_visit, avg_nights, std_nights, avg_holiday, std_holiday, avg_workday, std_workday, avg_high_season, std_high_season, avg_low_season, std_low_season, route, country, km_to_dest, population, avg_gross_income, avg_disposable_income, autonomous_community, and province.

The file VISITS_SMART_POQUEIRA.csv contains information about 26 variables: num_plate_ID, entry_cam, entry_date, entry_time, exit_cam, exit_date, exit_time, visit_time, route, distance, num_holiday, num_workday, num_high_season, num_low_season, nights, visits_dif_weeks, visits_dif_months, entry_in_holiday, entry_in_high_season, country, km_to_dest, population, avg_gross_income, avg_disposable_income, autonomous_community,  and province.
description: This publication is part of the project "Thematic Center on Mountain Ecosystem & Remote sensing, Deep learning-AI e-Services University of Granada-Sierra Nevada'' (LifeWatch-2019-10-UGR-01), which has been co-funded by the Ministry of Science and Innovation through the FEDER funds from the Spanish Pluriregional Operational Program 2014-2020 (POPE), LifeWatch-ERIC action line. The project has also been co-financed by the Provincial Council of Granada.
DOI: 10.57745/euzfaa
title: fer11_1_035.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/niapiy
title: fer11_1_036.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/ymkxzv
title: fer11_1_037.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/pstp58
title: fer11_1_038.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/4d6vca
title: fer11_1_039.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/ozlvid
title: fer11_1_040.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/ihwpz3
title: fer11_1_041.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/zxkrpe
title: fer11_1_042.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/keozhn
title: fer11_1_043.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/o8nr1z
title: fer11_1_044.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/6fopie
title: fer11_1_045.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/dcanmo
title: fer11_1_046.mca

description: mca datafile base_Fe Iron sample 11 Detector_1
DOI: 10.57745/w2lgl5
title: fer12_0_001.mca

description: mca datafile base_Fe Iron sample 12 Detector_0
DOI: 10.57745/estojc
title: fer12_0_002.mca

description: mca datafile base_Fe Iron sample 12 Detector_0
DOI: 10.57745/7b9ldj
title: fer12_0_003.mca

description: mca datafile base_Fe Iron sample 12 Detector_0
DOI: 10.57745/9avwjh
title: fer12_0_004.mca

description: mca datafile base_Fe Iron sample 12 Detector_0
DOI: 10.57745/hhxveg
title: fer12_0_005.mca

description: mca datafile base_Fe Iron sample 12 Detector_0
DOI: 10.57745/ubu9ho
title: fer12_0_006.mca

description: mca datafile base_Fe Iron sample 12 Detector_0
DOI: 10.57745/ayw5vg
title: fer12_0_007.mca

description: mca datafile base_Fe Iron sample 12 Detector_0
DOI: 10.57745/tpzbbq
title: fer12_0_008.mca

description: mca datafile base_Fe Iron sample 12 Detector_0
DOI: 10.57745/sowjwu
title: fer12_0_009.mca

description: mca datafile base_Fe Iron sample 12 Detector_0