cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34810/data159/50
title: BAD006_top margin.tif

description: :unav
DOI: 10.34810/data159/51
title: HIM091_bottom margin.tif

description: :unav
DOI: 10.34810/data159/52
title: PAR002_core.tif

description: :unav
DOI: 10.34810/data159/53
title: DHIM_950.tif

description: :unav
DOI: 10.34810/data159/54
title: MAR009_bottom margin.tif

description: :unav
DOI: 10.34810/data159/55
title: PAR005_bottom margin.tif

description: :unav
DOI: 10.34810/data159/56
title: STE011_core_001.tif

description: :unav
DOI: 10.34810/data159/57
title: STE014_bottom margin.tif

description: :unav
DOI: 10.34810/data159/58
title: MAR002_core_001.tif

description: :unav
DOI: 10.34810/data159/6
title: HIM035_top margin.tif

description: :unav
DOI: 10.34810/data159/60
title: STE011_bottom margin.tif

description: :unav
DOI: 10.34810/data159/61
title: PAR004_core.tif

description: :unav
DOI: 10.34810/data159/62
title: HIM178_bottom margin.tif

description: :unav
DOI: 10.34810/data159/63
title: HIM035_bottom margin.tif

description: :unav
DOI: 10.34810/data159/64
title: HIM075_top margin.tif

description: :unav
DOI: 10.34810/data159/65
title: MAR002_core.tif

description: :unav
DOI: 10.34810/data159/67
title: HIM178_core.tif

description: :unav
DOI: 10.34810/data159/68
title: DHIM01_1100.tif

description: :unav
DOI: 10.34810/data159/69
title: MAR006_bottom margin.tif

description: :unav
DOI: 10.34810/data159/7
title: STE004_top margin_001.tif

description: :unav
DOI: 10.34810/data159/71
title: Readme.txt

description: Information
DOI: 10.34810/data159/8
title: MAR009_top margin.tif

description: :unav
DOI: 10.34810/data159/9
title: PAR004_top margin.tif

description: :unav
DOI: 10.34810/data159/26
title: STE014_top margin.tif

description: :unav
DOI: 10.34810/data159/59
title: STE014_core.tif

description: :unav
DOI: 10.34810/data159/66
title: STE010_top margin.tif

description: :unav
DOI: 10.34810/data159/70
title: SPotEU_sampled.tab

description: Data
DOI: 10.15468/dl.q5ap8e
title: Occurrence Download

description: A dataset containing 3916 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Denmark",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Culicidae, Culicoides Latreille, 1809)"
 ]
}

 The dataset includes 3916 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012890-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15039730
title: Dataset for article : "New insight about the variability of the Be star pi Aquarii: stellar and disk parameters determination."

description: Dataset of the calculations of EW,V/R,DPS,RV of Balmer, iron, silicium, helium and other lines.
DOI: 10.5281/zenodo.15039731
title: Dataset for article : "New insight about the variability of the Be star pi Aquarii: stellar and disk parameters determination."

description: Dataset of the calculations of EW,V/R,DPS,RV of Balmer, iron, silicium, helium and other lines.
DOI: 10.15468/dl.4zurdy
title: Occurrence Download

description: A dataset containing 8169589 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is UK Butterfly Monitoring Scheme (UKBMS)"
 ]
}

 The dataset includes 8169589 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012876-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uqebcd
title: Occurrence Download

description: A dataset listing the 75 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "TaxonKey is Eleocharis R.Br."
 ]
}

 The dataset's 75 records were derived from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012884-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/cem0fo
title: Research data for article: Characterization of two melanoma cell lines resistant to BRAF/MEK inhibitors (vemurafenib and cobimetinib)

description: This research aimed to shed more light on the features of melanoma cells resistant to BRAF (v-raf murine sarcoma viral oncogene homolog B1)/MEK (mitogen-activated protein kinase kinase) inhibitors treatment. In this study, we indicated that the resistant cells exhibit increased survival and activation of ERK kinase in the presence of BRAF/MEK inhibitors. The IC50 values for these cells are over 1000 times higher than for controls. Resistant cells also exhibit elevated activation of AKT, p38, and JNK signaling pathways with increased expression of EGFR, ErbB2, MET, and PDGFRβ receptors as well as reduced expression of ErbB3 receptor. Furthermore, these cells demonstrate increased expression of genes encoding proteins involved in drug transport and metabolism. Resistant cells also exhibit features of epithelial-mesenchymal transition and cancer stem cells, as well as a reduced proliferation rate and elevated cytokine secretion.Data submitted to the repository are initial, unprocessed experiment results. Individual folders (named after the type of research they concern) contain the output data for all technical repetitions of the experiments performed and a .txt file with a description of the samples and the research method used. In the case of viability and proliferation tests, initial data are absorbance measurements obtained from treating cells with the XTT test, contained in Excel files. Data concerning the Western blotting method are photos of membranes (tiff) with bands present on them corresponding to specific proteins. Data obtained as a result of qPCR analysis are presented in the form of Excel files containing Ct (threshold cycle) values ​​for selected genes expressed by cells at the mRNA level. Data concerning spheroids are their photos (tiff) taken using a confocal microscope after staining the spheroids for the presence of filamentous actin. Data concerning cell morphology are photos of cells (tiff) taken without their staining, in phase contrast. Data concerning the cytokine array are photos (tiff) of membranes with dots, indicating the presence of specific cytokines in the secretome of given cells. Data related to the cell cycle are Excel files containing information on the percentage of cells in a given phase of the cell cycle during the analysis and PDF files containing, among other things, graphs presenting the results of the experiments performed.
DOI: 10.5281/zenodo.14809911
title: Midline data_Cash transfer study_climate collective
DOI: 10.5281/zenodo.14809912
title: Midline data_Cash transfer study_climate collective
DOI: 10.15468/dl.zjrxj4
title: Occurrence Download

description: A dataset containing 807 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong, Macao)",
 "TaxonKey is Fargesia Franch.",
 "Year 1000-2025"
 ]
}

 The dataset includes 807 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012894-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2gawjb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lyrurus tetrix (Linnaeus, 1758), Osmoderma eremita (Scopoli, 1763), Tetrao tetrix Linnaeus, 1758)",
 "Year is not null",
 "Year is one of (2023)",
 "HasCoordinate is TRUE",
 "DecimalLatitude is greater than or equal to 48.36815714509501",
 "DecimalLatitude is less than or equal to 48.528705851218234",
 "DecimalLongitude is greater than or equal to 9.262312305881835",
 "DecimalLongitude is less than or equal to 9.574177348561932",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012898-250310093411724/datasets/export for details.
DOI: 10.15468/dl.u4xxdr
title: Occurrence Download

description: A dataset containing 762 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong, Macao)",
 "TaxonKey is Chimonobambusa Makino",
 "Year 1000-2025"
 ]
}

 The dataset includes 762 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012896-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ec325y
title: Occurrence Download

description: A dataset containing 266740 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Diptera"
 ]
}

 The dataset includes 266740 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012874-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jm7apq
title: Occurrence Download

description: A dataset containing 224 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leopardus guttulus (Hensel, 1872)"
 ]
}

 The dataset includes 224 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012899-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14046922
title: Data to "Human shape perception spontaneously discovers the biological origin of novel, but natural, stimuli"

description: This record contains analysis scripts (written in Matlab) as well as raw and processed data to reproduce the results shown in:

Dehn, K.†, Maiello, G.†, Hartmann, F., Morgenstern, Y., Hawkins, S.J., Offner, T., Walter, J., Hassenklöver, T., Manzini, I., Fleming, R.W. (2024) Human shape perception spontaneously discovers the biological origin of novel, but natural, stimuli. bioRxiv, 2024-12. https://doi.org/10.1101/2024.12.21.629735  

†Co-first author
DOI: 10.5281/zenodo.14046923
title: Data to "Human shape perception spontaneously discovers the biological origin of novel, but natural, stimuli"

description: This record contains analysis scripts (written in Matlab) as well as raw and processed data to reproduce the results shown in:

Dehn, K.†, Maiello, G.†, Hartmann, F., Morgenstern, Y., Hawkins, S.J., Offner, T., Walter, J., Hassenklöver, T., Manzini, I., Fleming, R.W. (in prep) Human shape perception spontaneously discovers the biological origin of novel, but natural, stimuli. 

†Co-first author
DOI: 10.5281/zenodo.15039941
title: Data to "Human shape perception spontaneously discovers the biological origin of novel, but natural, stimuli"

description: This record contains analysis scripts (written in Matlab) as well as raw and processed data to reproduce the results shown in:

Dehn, K.†, Maiello, G.†, Hartmann, F., Morgenstern, Y., Hawkins, S.J., Offner, T., Walter, J., Hassenklöver, T., Manzini, I., Fleming, R.W. (2024) Human shape perception spontaneously discovers the biological origin of novel, but natural, stimuli. bioRxiv, 2024-12. https://doi.org/10.1101/2024.12.21.629735  

†Co-first author
DOI: 10.15468/dl.nh52br
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Diaspis boisduvalii Signoret, 1869",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 84 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012900-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34810/data160/11
title: ttnr_h43_0055_UND001.csv

description: :unav
DOI: 10.34810/data160/13
title: ttnr_h43_0016_PAR 002.csv

description: :unav
DOI: 10.34810/data160/15
title: ttnr_h43_0031_MAR 006.csv

description: :unav
DOI: 10.34810/data160/16
title: ttnr_h43_0023_PAR 009.csv

description: :unav
DOI: 10.34810/data160/18
title: ttnr_h43_0046_STE006.csv

description: :unav
DOI: 10.34810/data160/19
title: ttnr_h43_0026_MAR 001.csv

description: :unav
DOI: 10.34810/data160/20
title: ttnr_h43_0025_PAR 011.csv

description: :unav
DOI: 10.34810/data160/23
title: ttnr_h43_0021_PAR 007.csv

description: :unav
DOI: 10.34810/data160/25
title: ttnr_h43_0019_PAR 005.csv

description: :unav
DOI: 10.34810/data160/26
title: ttnr_h43_0034_MAR 009.csv

description: :unav
DOI: 10.34810/data160/29
title: ttnr_h43_0045_STE005.csv

description: :unav
DOI: 10.34810/data160/31
title: ttnr_h43_0028_MAR 003.csv

description: :unav
DOI: 10.34810/data160/37
title: ttnr_h43_0029_MAR 004.csv

description: :unav
DOI: 10.34810/data160/39
title: ttnr_h43_0030_MAR 005.csv

description: :unav
DOI: 10.34810/data160/4
title: ttnr_h43_0017_PAR 003.csv

description: :unav
DOI: 10.34810/data160/45
title: ttnr_h43_0022_PAR 008.csv

description: :unav
DOI: 10.34810/data160/46
title: ttnr_h43_0053_STE014.csv

description: :unav
DOI: 10.34810/data160/49
title: ttnr_h43_0032_MAR 007.csv

description: :unav
DOI: 10.34810/data160/50
title: ttnr_h43_0052_STE013.csv

description: :unav
DOI: 10.34810/data160/52
title: ttnr_h43_0038_BAD004.csv

description: :unav
DOI: 10.34810/data160/57
title: ttnr_h43_0042_STE002.csv

description: :unav
DOI: 10.34810/data160/59
title: ttnr_h43_0041_STE001.csv

description: :unav
DOI: 10.34810/data160/6
title: ttnr_h43_0044_STE004.csv

description: :unav
DOI: 10.34810/data160/63
title: ttnr_h43_0037_BAD002.csv

description: :unav
DOI: 10.34810/data160/64
title: ttnr_h43_0033_MAR 008.csv

description: :unav
DOI: 10.34810/data160/67
title: ttnr_h43_0130_HIM003.csv

description: :unav
DOI: 10.34810/data160/69
title: ttnr_h43_0051_STE012.csv

description: :unav
DOI: 10.34810/data160/73
title: ttnr_h43_0036_BAD001.csv

description: :unav
DOI: 10.34810/data160/74
title: ttnr_h43_0018_PAR 004.csv

description: :unav
DOI: 10.34810/data160/76
title: ttnr_h43_0035_MAR 010.csv

description: :unav
DOI: 10.34810/data160/8
title: ttnr_h43_0039_BAD006.csv

description: :unav
DOI: 10.34810/data160/82
title: ttnr_h43_0027_MAR 002.csv

description: :unav
DOI: 10.34810/data160/85
title: ttnr_h43_0020_PAR 006.csv

description: :unav
DOI: 10.34810/data160/89
title: ttnr_h43_0024_PAR 010.csv

description: :unav
DOI: 10.34810/data160/9
title: ttnr_h43_0129_HIM001.csv

description: :unav
DOI: 10.34810/data160/94
title: SPotEU_sampled.tab

description: Data
DOI: 10.34810/data160/95
title: Readme.txt

description: Information
DOI: 10.34810/data160/1
title: ttnr_h43_0133_HIM008.csv

description: :unav
DOI: 10.34810/data160/10
title: ttnr_h43_0181_HIM135.csv

description: :unav
DOI: 10.34810/data160/12
title: ttnr_h43_0134_HIM013.csv

description: :unav
DOI: 10.34810/data160/14
title: ttnr_h43_0189_HIM175.csv

description: :unav
DOI: 10.34810/data160/17
title: ttnr_h43_0173_HIM091.csv

description: :unav
DOI: 10.34810/data160/2
title: ttnr_h43_0047_STE008.csv

description: :unav
DOI: 10.34810/data160/21
title: ttnr_h43_0131_HIM005.csv

description: :unav
DOI: 10.34810/data160/22
title: ttnr_h43_0190_HIM176.csv

description: :unav
DOI: 10.34810/data160/24
title: ttnr_h43_0141_HIM031.csv

description: :unav
DOI: 10.34810/data160/27
title: ttnr_h43_0143_HIM035.csv

description: :unav
DOI: 10.34810/data160/28
title: ttnr_h43_0149_HIM050.csv

description: :unav
DOI: 10.34810/data160/3
title: ttnr_h43_0148_HIM047.csv

description: :unav
DOI: 10.34810/data160/30
title: ttnr_h43_0182_HIM142.csv

description: :unav
DOI: 10.34810/data160/32
title: ttnr_h43_0188_HIM174.csv

description: :unav
DOI: 10.34810/data160/33
title: ttnr_h43_0176_HIM099.csv

description: :unav
DOI: 10.34810/data160/34
title: ttnr_h43_0147_HIM045.csv

description: :unav
DOI: 10.34810/data160/35
title: ttnr_h43_0174_HIM092.csv

description: :unav
DOI: 10.34810/data160/36
title: ttnr_h43_0153_HIM060.csv

description: :unav
DOI: 10.34810/data160/38
title: ttnr_h43_0200_HIM070.csv

description: :unav
DOI: 10.34810/data160/40
title: ttnr_h43_0152_HIM057.csv

description: :unav
DOI: 10.34810/data160/41
title: ttnr_h43_0040_BAD007.csv

description: :unav
DOI: 10.34810/data160/42
title: ttnr_h43_0132_HIM007.csv

description: :unav
DOI: 10.34810/data160/43
title: ttnr_h43_0136_HIM018.csv

description: :unav
DOI: 10.34810/data160/44
title: ttnr_h43_0145_HIM042.csv

description: :unav
DOI: 10.34810/data160/47
title: ttnr_h43_0185_HIM148.csv

description: :unav
DOI: 10.34810/data160/48
title: ttnr_h43_0048_STE009.csv

description: :unav
DOI: 10.34810/data160/5
title: ttnr_h43_0184_HIM147.csv

description: :unav
DOI: 10.34810/data160/51
title: ttnr_h43_0191_HIM177.csv

description: :unav
DOI: 10.34810/data160/53
title: ttnr_h43_0178_HIM112.csv

description: :unav
DOI: 10.34810/data160/54
title: ttnr_h43_0146_HIM044.csv

description: :unav
DOI: 10.34810/data160/55
title: ttnr_h43_0187_HIM167.csv

description: :unav
DOI: 10.34810/data160/56
title: ttnr_h43_0154_HIM062.csv

description: :unav
DOI: 10.34810/data160/58
title: ttnr_h43_0172_HIM084.csv

description: :unav
DOI: 10.34810/data160/60
title: ttnr_h43_0179_HIM113.csv

description: :unav
DOI: 10.34810/data160/61
title: ttnr_h43_0186_HIM158.csv

description: :unav
DOI: 10.34810/data160/62
title: ttnr_h43_0049_STE010.csv

description: :unav
DOI: 10.34810/data160/65
title: ttnr_h43_0201_HIM071.csv

description: :unav
DOI: 10.34810/data160/66
title: ttnr_h43_0170_HIM080.csv

description: :unav
DOI: 10.34810/data160/68
title: ttnr_h43_0142_HIM034.csv

description: :unav
DOI: 10.34810/data160/7
title: ttnr_h43_0171_HIM082.csv

description: :unav
DOI: 10.34810/data160/70
title: ttnr_h43_0192_HIM178.csv

description: :unav
DOI: 10.34810/data160/71
title: ttnr_h43_0175_HIM098.csv

description: :unav
DOI: 10.34810/data160/72
title: ttnr_h43_0043_STE003.csv

description: :unav
DOI: 10.34810/data160/75
title: ttnr_h43_0138_HIM021.csv

description: :unav
DOI: 10.34810/data160/77
title: ttnr_h43_0183_HIM146.csv

description: :unav
DOI: 10.34810/data160/78
title: ttnr_h43_0050_STE011.csv

description: :unav
DOI: 10.34810/data160/79
title: ttnr_h43_0177_HIM109.csv

description: :unav
DOI: 10.34810/data160/80
title: ttnr_h43_0140_HIM029.csv

description: :unav
DOI: 10.34810/data160/81
title: ttnr_h43_0135_HIM015.csv

description: :unav
DOI: 10.34810/data160/83
title: ttnr_h43_0180_HIM121.csv

description: :unav
DOI: 10.34810/data160/84
title: ttnr_h43_0144_HIM036.csv

description: :unav
DOI: 10.34810/data160/86
title: ttnr_h43_0137_HIM019.csv

description: :unav
DOI: 10.34810/data160/87
title: ttnr_h43_0139_HIM023.csv

description: :unav
DOI: 10.34810/data160/88
title: ttnr_h43_0150_HIM055.csv

description: :unav
DOI: 10.34810/data160/90
title: ttnr_h43_0202_HIM072.csv

description: :unav
DOI: 10.34810/data160/91
title: ttnr_h43_0054_STE016.csv

description: :unav
DOI: 10.34810/data160/92
title: ttnr_h43_0203_HIM075.csv

description: :unav
DOI: 10.34810/data160/93
title: ttnr_h43_0151_HIM056.csv

description: :unav
DOI: 10.3886/e223202v1
title: Wages of men, women, and others

description: Wages earned by men are often used as an indicator of the material standard of living (MSoL). However, this indicator relies on several assumptions when used for comparisons across time and space. Considering these assumptions will improve estimates of the MSoL from wages. <br><br>One necessary assumption is that households in the compared populations relied on the primary income of the male head of household to a comparable degree. I demonstrate that the degree of reliance on the male income was closely associated with the complexity of households within the population. Nuclear households—typical of English-speaking countries—were more reliant on the male income than more complex households found elsewhere. Consequently, estimates based on male wages are less accurate for populations with complex households, likely underestimating their MSoL. <br><br>While the complexity of households in historical populations is seldom known, it can be predicted using demographic and economic indicators. I conclude that populations at similar stages of industrialization and the demographic transition are the most comparable when using male wages to estimate their MSoL. <br><br>Further, I use a reductive model to show that a household’s MSoL is determined by three factors: time spent on productive work, the market wage for men, and the female/male wage ratio. My analysis shows that including the female/male wage ratio does not change the ranking of the MSoL based on male wages. Nonetheless, I argue that there are compelling reasons to expect the wage ratio to be a useful addition when comparing the MSoL of historical populations.<br><br>(Abstract of the associated article.)
description: Historical households globally.
description: The Stata-code can be used to make easier use of the data provided by Burnette, Joyce. LePlay data for EHR. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-02-10. https://doi.org/10.3886/E198241V1<br><br>The aggregated data includes 51 estimates of the female/male wage ratio for 13 European countries from the mid-nineteenth century. The data also includes economic and demographic indicators based on the LePlay data as well as data taken from other repositories.
DOI: 10.15468/dl.tcznp2
title: Occurrence Download

description: A dataset containing 2300 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepus saxatilis F.Cuvier, 1823"
 ]
}

 The dataset includes 2300 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012901-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4vbskr
title: Occurrence Download

description: A dataset containing 349 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong, Macao)",
 "TaxonKey is Indosasa McClure",
 "Year 1000-2025"
 ]
}

 The dataset includes 349 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012903-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w5pgmp
title: Occurrence Download

description: A dataset listing the 3705 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Chironomidae"
 ]
}

 The dataset's 3705 records were derived from 530 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012892-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/tf8t-5j35
title: Graph-Based ANPR Dataset of Tourist Routes and Visits in the Alpujarra smart village

description: This dataset comprises license plate information captured by Automatic Number Plate Recognition (ANPR) devices as vehicles either entered or left the smart village area of Alpujarra, which encompasses the towns of Pampaneira, Capileira, and Bubión.The sensor network includes four Hikvision IP cameras that use deep learning-based ANPR technology to cover all vehicular movements. Each camera is outfitted with vehicle detection sensors, a 2MP resolution, varifocal lenses (ranging from 2.8 to 12 mm), and infrared LEDs effective up to 50 meters.In the dataset, each node corresponds to a camera: two are located at the entrance and exit of Pampaneira (PAM1 and PAM2), one at the entrance of Bubión (BUB), and one at the entrance of Capileira (CAP). Tourist routes are represented as graphs, with each route forming a unique graph structure.Data was collected from February 2022 to December 2024, covering 467,773 distinct vehicles.