cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e112479v1-158984
title: Replication data for: The Slave Trade and the Origins of Mistrust in Africa

description: We show that current differences in trust levels within Africa can be traced back to the transatlantic and Indian Ocean slave trades. Combining contemporary individual-level survey data with historical data on slave shipments by ethnic group, we find that individuals whose ancestors were heavily raided during the slave trade are less trusting today. Evidence from a variety of identification strategies
suggests that the relationship is causal. Examining causal mechanisms,
we show that most of the impact of the slave trade is through factors that are internal to the individual, such as cultural norms, beliefs, and values. (JEL J15, N57, Z13)
DOI: 10.5281/zenodo.8323449
title: VENµS raw images for vessel detection

description: The dataset utilized in this study comprises images capturing maritime vessels. It is a meticulously curated collection designed explicitly for training and assessing models focused on vessel detection and identification.

The images within the dataset are sourced from satellite sensors, specifically the VENμS satellite imagery. VENμS offers multispectral data spanning from visible to near-infrared bands, boasting high spatial resolution (5.3 meters at Nadir) for detailed vessel analysis. The dataset encompasses images taken on 12 spectral bands, facilitating the examination of the vessel detection model's performance under diverse spectral conditions. These images depict the port of Ashdod, one of Israel's primary cargo ports, spanning from the beginning of 2018 to the conclusion of October 2020, totalling 284 multispectral images.

For each multispectral image, three types of data are provided: raw data (non-coregistered multispectral image), coregistered images, and coregistered images with a mask (pixels set to zero) on the harbour to eliminate anchored vessels from the image. Coregistration involves a shift (X and Y) of each band to the fifth band (in the red).

The majority of vessels in the dataset are annotated with boundary boxes (upper-left position, height, and width) along with AIS data, including vessel type, length, width, and status. These annotations serve as ground truth labels for training and evaluating models focused on vessel detection and classification.

Furthermore, the dataset incorporates samples showcasing variations in environmental conditions, such as diverse sea states, lighting conditions, wake complexities, and the presence of clouds. This variability facilitates a comprehensive evaluation of the model's generalization capability and robustness across a spectrum of scenarios.
DOI: 10.5281/zenodo.14174195
title: VENµS raw images for vessel detection

description: The dataset utilized in this study comprises images capturing maritime vessels. It is a meticulously curated collection designed explicitly for training and assessing models focused on vessel detection and identification.

The images within the dataset are sourced from satellite sensors, specifically the VENμS satellite imagery. VENμS offers multispectral data from visible to near-infrared bands, boasting high spatial resolution (5.3 meters at Nadir) for detailed vessel analysis. The dataset encompasses images taken on 12 spectral bands, facilitating the examination of the vessel detection model's performance under diverse spectral conditions. These images depict the port of Ashdod, one of Israel's primary cargo ports, from the beginning of 2018 to the conclusion of October 2020, totalling 284 multispectral images.

For each multispectral image, three types of data are provided: raw data (non-coregistered multispectral image), coregistered images, and coregistered images with a mask (pixels set to zero) on the harbour to eliminate anchored vessels from the image. Coregistration involves each band's shift (X and Y) to the fifth band.

Most vessels in the dataset are annotated with boundary boxes (upper-left position, height, and width) along with AIS data, including vessel type, length, width, and status. These annotations serve as ground truth labels for training and evaluating models focused on vessel detection and classification.

Furthermore, the dataset incorporates samples showcasing variations in environmental conditions, such as diverse sea states, lighting conditions, wake complexities, and the presence of clouds. This variability comprehensively evaluates the model's generalization capability and robustness across various scenarios.

Content:

- ASH_L0_CoReg_xx.zip: coregistered raw images.

- ASH_L0_CoReg_mask_xx.zip: coregistered raw images with a mask (pixels set to zero) on the harbour.

- ASH_L0_OriginalBands_xx.zip: raw data images (non-coregistered multispectral image).

- COCO_ASH_vessels_final_v02.json: boundary boxes (upper-left position, height, and width; wrt to the fifth band) and AIS data.

- annots_12bands.zip: boundary boxes (upper-left position, height, and width for each band) and AIS data.
DOI: 10.5281/zenodo.13897485
title: VENµS raw images for vessel detection

description: The dataset utilized in this study comprises images capturing maritime vessels. It is a meticulously curated collection designed explicitly for training and assessing models focused on vessel detection and identification.

The images within the dataset are sourced from satellite sensors, specifically the VENμS satellite imagery. VENμS offers multispectral data from visible to near-infrared bands, boasting high spatial resolution (5.3 meters at Nadir) for detailed vessel analysis. The dataset encompasses images taken on 12 spectral bands, facilitating the examination of the vessel detection model's performance under diverse spectral conditions. These images depict the port of Ashdod, one of Israel's primary cargo ports, from the beginning of 2018 to the conclusion of October 2020, totalling 284 multispectral images.

For each multispectral image, three types of data are provided: raw data (non-coregistered multispectral image), coregistered images, and coregistered images with a mask (pixels set to zero) on the harbour to eliminate anchored vessels from the image. Coregistration involves each band's shift (X and Y) to the fifth band.

Most vessels in the dataset are annotated with boundary boxes (upper-left position, height, and width) along with AIS data, including vessel type, length, width, and status. These annotations serve as ground truth labels for training and evaluating models focused on vessel detection and classification.

Furthermore, the dataset incorporates samples showcasing variations in environmental conditions, such as diverse sea states, lighting conditions, wake complexities, and the presence of clouds. This variability comprehensively evaluates the model's generalization capability and robustness across various scenarios.

Content:

- ASH_L0_CoReg_xx.zip: coregistered raw images.

- ASH_L0_CoReg_mask_xx.zip: coregistered raw images with a mask (pixels set to zero) on the harbour.

- ASH_L0_OriginalBands_xx.zip: raw data images (non-coregistered multispectral image).

- COCO_ASH_vessels_final_v02.json: boundary boxes (upper-left position, height, and width; wrt to the fifth band) and AIS data.

- annots_12bands.zip: boundary boxes (upper-left position, height, and width for each band) and AIS data.
DOI: 10.5281/zenodo.8323448
title: VENµS raw images for vessel detection

description: The dataset utilized in this study comprises images capturing maritime vessels. It is a meticulously curated collection designed explicitly for training and assessing models focused on vessel detection and identification.

The images within the dataset are sourced from satellite sensors, specifically the VENμS satellite imagery. VENμS offers multispectral data from visible to near-infrared bands, boasting high spatial resolution (5.3 meters at Nadir) for detailed vessel analysis. The dataset encompasses images taken on 12 spectral bands, facilitating the examination of the vessel detection model's performance under diverse spectral conditions. These images depict the port of Ashdod, one of Israel's primary cargo ports, from the beginning of 2018 to the conclusion of October 2020, totalling 284 multispectral images.

For each multispectral image, three types of data are provided: raw data (non-coregistered multispectral image), coregistered images, and coregistered images with a mask (pixels set to zero) on the harbour to eliminate anchored vessels from the image. Coregistration involves each band's shift (X and Y) to the fifth band.

Most vessels in the dataset are annotated with boundary boxes (upper-left position, height, and width) along with AIS data, including vessel type, length, width, and status. These annotations serve as ground truth labels for training and evaluating models focused on vessel detection and classification.

Furthermore, the dataset incorporates samples showcasing variations in environmental conditions, such as diverse sea states, lighting conditions, wake complexities, and the presence of clouds. This variability comprehensively evaluates the model's generalization capability and robustness across various scenarios.

Content:

- ASH_L0_CoReg_xx.zip: coregistered raw images.

- ASH_L0_CoReg_mask_xx.zip: coregistered raw images with a mask (pixels set to zero) on the harbour.

- ASH_L0_OriginalBands_xx.zip: raw data images (non-coregistered multispectral image).

- COCO_ASH_vessels_final_v02.json: boundary boxes (upper-left position, height, and width; wrt to the fifth band) and AIS data.

- annots_12bands.zip: boundary boxes (upper-left position, height, and width for each band) and AIS data.
DOI: 10.15468/dl.8qhyg9
title: Occurrence Download

description: A dataset listing the 323 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-80.85412 -4.41237,-63.29566 -4.41237,-63.73878 13.0907,-71.16097 13.14609,-80.9649 12.75836,-80.85412 -4.41237))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Culicidae"
 ]
}

 The dataset's 323 records were derived from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017925-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fch945
title: Occurrence Download

description: A dataset containing 989466 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sedum L."
 ]
}

 The dataset includes 989466 records from 2859 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017910-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.koimnq
title: Occurrence Download

description: A dataset containing 5251 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eunicella verrucosa (Pallas, 1766)"
 ]
}

 The dataset includes 5251 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008954-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rkpxac
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Physella Haldeman, 1842)",
 "HasCoordinate is true",
 "Country is South Africa"
 ]
}

 The dataset includes 40 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058286-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qs769p
title: Occurrence Download

description: A dataset containing 170 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mesoclemmys gibba (Schweigger, 1812)"
 ]
}

 The dataset includes 170 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071891-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21957/jntp-nb81
title: TCo639L91 free-running simulation of 2018 SSW
DOI: 10.15468/dl.ne60ee
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Year 2002-2002",
 "DatasetKey is EOD – eBird Observation Dataset",
 "TaxonKey is Gallinago delicata (Ord, 1825)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008341-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zvmay8
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sechium edule (Jacq.) Sw.",
 "Year 2000-2020"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062962-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21957/qshp-z857
title: TCo639L198 free-running simulation of 2010 SSW
DOI: 10.15468/dl.vfust6
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Ichthyology Collection - Royal Ontario Museum",
 "Geometry POLYGON((-87.94556 43.02905,-79.56079 43.02905,-79.56079 46.96655,-87.94556 46.96655,-87.94556 43.02905))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Labidesthes sicculus (Cope, 1865)"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073956-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21957/bkc7-4f71
title: TCo639L198 free-running simulation of 2006 SSW
DOI: 10.15468/dl.dmzrox
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Papua New Guinea",
 "Country is Malaysia",
 "Country is Indonesia"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Dryobalanops aromatica C.F.Gaertn.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008955-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21957/cg6p-bt67
title: TCo639L91 free-running simulation of 2006 SSW
DOI: 10.15468/dl.zf1jtd
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium hibernicum F.Hanb."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008386-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d6vywn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Pennisetum polystachyon",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013317-220831081235567/datasets/export for details.
DOI: 10.15468/dl.gaas6l
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Callicebus brunneus (Wagner, 1842)",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 16 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008955-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rjqu7u
title: Occurrence Download

description: A dataset containing 24384 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepomis microlophus (Günther, 1859)"
 ]
}

 The dataset includes 24384 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058287-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21957/8hj8-dq42
title: TCo639L137 free-running simulation of 2006 SSW
DOI: 10.18150/5rmbyv
title: Badania wpływu deflektorów wiklinowych na warunki hydromorfologiczne w rzece Flincie

description: Badania wpływu oraz zachodzących zmian w małym cieku nizinnym po implementacji deflektorów wiklinowych.Materiały zawierają dane surowe oraz już opracowane z zakresu geometrii hydrometrii cieku a także granulometrii rumowiska. Udostępniono również dane gisowe wraz z wynikami analiz.Dane zbierano od 2018-08-15 do 2024-03-01. Lokalizacja: 52°24′30″ N, 16°56′03″ E PoznańOprogramowanie: Excel lub otwarty odpowiednik, Surfer 8, QGIS 3.14 lub nowszyPliki o roszerzeniu: qgs, dbf, prj, qpj, shp, shx są obsługiwane przez oprogramowanie QGISPliki o rozszerzeniu: srf, grd, lvl, grd.aux.xml są obsługiwane przez oprogramowanie Surfer 8
DOI: 10.15468/dl.ks5uj8
title: Occurrence Download

description: A dataset containing 2998 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 1998-2019",
 "HasCoordinate is true",
 "TaxonKey is Campephilus leucopogon (Valenciennes, 1826)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2998 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008386-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21957/g9xq-ve88
title: TCo639L137 free-running simulation of 2010 SSW
DOI: 10.15468/dl.btp8k4
title: Occurrence Download

description: A dataset containing 425 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Harpadon nehereus (Hamilton, 1822)"
 ]
}

 The dataset includes 425 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067540-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.itvsf8
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nannotrigona melanocera (Schwarz, 1938)"
 ]
}

 The dataset includes 102 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008955-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21957/rmx1-zm93
title: TCo639L91 free-running simulation of 2010 SSW
DOI: 10.15468/dl.pq28fq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON (((-70.63937554835901 41.604701504393574, -70.63932199730348 41.60515633857997, -70.6388582812223 41.6051072877024, -70.63886717615226 41.605053799091934, -70.63893851711525 41.6046480096135, -70.63937554835901 41.604701504393574)))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067545-210914110416597/datasets/export for details.
DOI: 10.15468/dl.wxrvv8
title: Occurrence Download

description: A dataset listing the 4296 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Diversidad de Hemiptera: Heteroptera de Baja California e islas del Golfo de California"
 ]
}

 The dataset's 4296 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008386-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eymsgc
title: Occurrence Download

description: A dataset containing 590406 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Welsh Invertebrate Database (WID)"
 ]
}

 The dataset includes 590406 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008955-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a15hsl
title: Occurrence Download

description: A dataset containing 604 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Lycium shawii Roem. & Schult.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 604 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000594-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qzhknr
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Chinese Taipei",
 "Country is China",
 "Country is Hong Kong"
 ]
 },
 "TaxonKey is Onuxodon Smith, 1955"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081538-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xb5b97
title: Occurrence Download

description: A dataset containing 7111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dascyllus trimaculatus (Rüppell, 1829))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7111 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058283-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yfe7rb
title: Occurrence Download

description: A dataset containing 12019 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amazilia lactea (R.Lesson, 1832)"
 ]
}

 The dataset includes 12019 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072408-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lwc6vn
title: Occurrence Download

description: A dataset containing 10733 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ochotona princeps (Richardson, 1828)"
 ]
}

 The dataset includes 10733 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041274-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.