cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17026/dans-z58-h5br
title: Lengel Antoniusstraat Bewoning van de Vroege tot en met de Late Middeleeuwen nabij de Antoniusstraat te Lengel, gemeente Montferland

description: &lt;p&gt;ADC ArcheoProjecten heeft op een terrein aan de Antoniusstraat te Lengel, gemeente Montferland een archeologische opgraving uitgevoerd. Vooronderzoek had aangetoond dat binnen dit gebied archeologische resten aanwezig zijn die bij de aanleg van de voorgenomen nieuwbouw zouden worden vernietigd. Door het bevoegd gezag is daarom bepaald dat voorafgaand aan de ontwikkeling de aanwezige resten dienden te worden onderzocht en gedocumenteerd door middel van het uitvoeren van een vlakdekkende opgraving. Tijdens het onderzoek zijn overeenkomstig de verwachting diverse sporen uit de vroege en volletot Late Middeleeuwen aangesneden, waaronder zestien (boomstam)waterputten. Deze hebben onderdeel gevormd van zeker acht verschillende erven die zich binnen vier naast elkaar liggende sporenzones concentreerden op het noordelijk deel van het onderzoeksterrein. Binnen elke sporenzone konden twee erven onderscheiden worden met huisplattegronden, bijgebouwen, waterputten, kuilen en in de tweede sporenzone ook hutkommen. Binnen drie sporenzones lagen de twee opeenvolgende huisplattegronden vrijwel volledig over elkaar heen.&lt;br&gt;Langs de westzijde van de erven (zijde Trambaan) en in het zuiden ombuigend naar het oosten (richting Antoniusstraat) zijn greppels aangetroffen die dateren vanaf de 14e eeuw. Gezien de ligging en oriëntatie en hun grote overeenkomst met de verkaveling zoals weergegeven op de kadastrale minuut van 1832 gaat het daarbij waarschijnlijk om de oudste voorgangers van de huidige perceleringsgrenzen. De vondsten, zoals het relatief weinige import- maar vooral lokaal vervaardigde aardewerk, duiden op een nederzetting en bewoners zonder bijzondere sociale status, maar wel werd er getuige de aangetroffen metaal- c.q. herverhittingsslakken op kleine schaal ijzer gesmeed. Dit gebeurde waarschijnlijk op het zuidelijk deel van het onderzoeksterrein. Daar werden geen huisplattegronden meer aangetroffen maar nog wel enkele waterputten en bijgebouwen. Naast een daarvan werd een kuil aangetroffen met een groot deel van het totaal bij het onderzoek verzamelde smeedafval. Het onderzoek aan de Antoniusstraat heeft meer inzicht gegeven in het plaatsvast worden van de bewoning en daarmee de ontstaansgeschiedenis van het buurtschap Lengel vanaf de Vroege Middeleeuwen. De latere, op basis van historische kaarten en bronnen zoals de kadastrale minuut , bekende verkaveling op deze locatie blijkt terug te voeren tot in de 14e eeuw.&lt;/p&gt;
DOI: 10.15468/dl.cthf8g
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caesalpinia decapetala",
 "Country is Malawi",
 "HasCoordinate is true"
 ]
}

 The dataset includes 58 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030270-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17054417
title: High-Resolution Multi-Source Fusion Cropland Segmentation (HSR-MFCS) dataset from Gaofen (GF) satellites

description: We introduce the High Spatial Resolution Multi-Source Fusion Cropland Segmentation (HSR-MFCS) dataset, a binary segmentation benchmark distinguishing cropland from non-cropland. The dataset covers typical plain and hilly terrains, encompassing diverse cropland types and parcel configurations, ensuring strong representativeness and applicability. It consists of paired high-resolution optical and SAR imagery with corresponding binary cropland labels. Optical data provide spectral and textural information, while SAR data include HH and HV polarization modes to capture structural characteristics and improve cropland identification. Ground-truth annotations were generated from field surveys and manual labeling conducted by the Sichuan Provincial Land Preparation Center.

The dataset covers four study areas in Sichuan Province, China:





ZhongJiang-A and ZhongJiang-B (Zhongjiang County, Deyang City), located in a transitional zone between hilly and basin landscapes. The terrain is predominantly hilly, with fragmented and irregular cropland patches interspersed with forested land, showing strong spatial heterogeneity. The region has a subtropical humid monsoon climate, with rice, wheat, maize, rapeseed, and cash crops as the main cultivated species.




MeiShan-C and MeiShan-D (Dongpo District, Meishan City), situated in the Sichuan Basin, representing a typical plain agricultural zone. Cropland parcels are generally regular, though localized heterogeneity arises from mixed forest and construction land. The area also has a subtropical humid monsoon climate, supporting multiple cropping systems with rice, wheat, maize, vegetables, and horticultural crops.
DOI: 10.5281/zenodo.17054418
title: High-Resolution Multi-Source Fusion Cropland Segmentation (HSR-MFCS) dataset from Gaofen (GF) satellites

description: We introduce the High Spatial Resolution Multi-Source Fusion Cropland Segmentation (HSR-MFCS) dataset, a binary segmentation benchmark distinguishing cropland from non-cropland. The dataset covers typical plain and hilly terrains, encompassing diverse cropland types and parcel configurations, ensuring strong representativeness and applicability. It consists of paired high-resolution optical and SAR imagery with corresponding binary cropland labels. Optical data provide spectral and textural information, while SAR data include HH and HV polarization modes to capture structural characteristics and improve cropland identification. Ground-truth annotations were generated from field surveys and manual labeling conducted by the Sichuan Provincial Land Preparation Center.

The dataset covers four study areas in Sichuan Province, China:





ZhongJiang-A and ZhongJiang-B (Zhongjiang County, Deyang City), located in a transitional zone between hilly and basin landscapes. The terrain is predominantly hilly, with fragmented and irregular cropland patches interspersed with forested land, showing strong spatial heterogeneity. The region has a subtropical humid monsoon climate, with rice, wheat, maize, rapeseed, and cash crops as the main cultivated species.




MeiShan-C and MeiShan-D (Dongpo District, Meishan City), situated in the Sichuan Basin, representing a typical plain agricultural zone. Cropland parcels are generally regular, though localized heterogeneity arises from mixed forest and construction land. The area also has a subtropical humid monsoon climate, supporting multiple cropping systems with rice, wheat, maize, vegetables, and horticultural crops.
DOI: 10.15468/dl.zr5bca
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alepes djedaba",
 "Country is Malta",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030275-250827131500795/datasets/export for details.
DOI: 10.15468/dl.jzkncz
title: Occurrence Download

description: A dataset containing 1388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Combretum apiculatum"
 ]
}

 The dataset includes 1388 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030273-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwd65j
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Limnocaridina latipes, Limnocaridina parvula, Limnocaridina retarius, Limnocaridina similis, Limnocaridina socius, Limnocaridina spinipes, Limnocaridina tanganyikae, Macrobrachium australe, Macrobrachium chevalieri, Macrobrachium dolichodactylus, Macrobrachium dux, Macrobrachium equidens, Macrobrachium felicinum, Macrobrachium foai, Macrobrachium hirtimanus, Macrobrachium idae, Macrobrachium idella, Macrobrachium idella idella, Macrobrachium lar, Macrobrachium lepidactylus, Macrobrachium lujae, Macrobrachium macrobrachion, Macrobrachium moorei, Macrobrachium niloticum, Macrobrachium patsa, Macrobrachium petersii, Macrobrachium raridens, Macrobrachium rude, Macrobrachium scabriculum, Macrobrachium scorteccii, Macrobrachium sollaudii, Macrobrachium therezieni, Macrobrachium thysi, Macrobrachium vollenhovenii, Macrobrachium zariquieyi, Madagapotamon humberti, Malagasya antongilensis, Maritimonautes calcaratus, Maritimonautes choloensis, Maritimonautes namuliensis, Maritimonautes obesus, Marojejy longimerus, Monsamnis carpolongus, Namibcypris costata, Orconectes limosus, Palaemon capensis, Palaemonetes mesogenitor, Parisia dentata, Parisia edentata, Parisia macrophthalma, Parisia microphthalma, Platythelphusa armata, Platythelphusa conculcata, Platythelphusa denticulata, Platythelphusa echinata, Platythelphusa immaculata, Platythelphusa maculata, Platythelphusa polita, Platythelphusa praelongata, Platythelphusa tuberculata, Potamalpheops haugi, Potamalpheops monodi, Potamon algeriense, Potamon potamios, Potamonautes acristatus, Potamonautes alluaudi, Potamonautes amalerensis, Potamonautes anchietae, Potamonautes ballayi, Potamonautes barbarai, Potamonautes barnardi, Potamonautes bayonianus, Potamonautes baziya, Potamonautes berardi, Rotundopotamonautes berardi, Potamonautes brincki, Potamonautes clarus, Potamonautes congoensis, Acanthothelphusa congoensis, Potamonautes danielsi, Potamonautes dentatus, Potamonautes depressus, Potamonautes didieri, Acanthothelphusa didieri, Potamonautes dubius, Potamonautes dybowskii, Acanthothelphusa dybowskii, Potamonautes ecorssei, Occidensonautes ecorssei, Potamonautes emini, Rotundopotamonautes emini, Potamonautes flavusjo, Potamonautes gerdalensis, Arcopotamonautes gerdalensis, Potamonautes gonocristatus, Rotundopotamonautes gonocristatus, Potamonautes granularis, Potamonautes idjwiensis, Potamonautes ignestii, Rotundopotamonautes ignestii)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((55.1382 -5.4732,54.9352 -5.6353,54.8984 -5.9912,55.1382 -6.2691,55.1382 -5.4732))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030272-250827131500795/datasets/export for details.
DOI: 10.15468/dl.a7f2h5
title: Occurrence Download

description: A dataset containing 26163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Phlox divaricata"
 ]
}

 The dataset includes 26163 records from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030274-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/irwjqq
title: M7-CT

description: 2d-seq file
DOI: 10.57745/h7upta
title: F5-CT

description: 2d-seq file
DOI: 10.57745/57guu0
title: F4-CM

description: 2d-seq file
DOI: 10.57745/9msdlv
title: F6-CM

description: 2d-seq file
DOI: 10.57745/akiv4o
title: F10-CT

description: 2d-seq file
DOI: 10.57745/jtvm1s
title: M2-CM

description: 2d-seq file
DOI: 10.57745/fipxal
title: M1-CM

description: 2d-seq file
DOI: 10.57745/8exvox
title: F2-CT

description: 2d-seq file
DOI: 10.57745/kbj8af
title: F5-CM

description: 2d-seq file
DOI: 10.57745/sfr1sk
title: F1-CT

description: 2d-seq file
DOI: 10.57745/b9apkv
title: F2-CM

description: 2d-seq file
DOI: 10.57745/enxyqn
title: F7-CM.nii

description: nii file
DOI: 10.57745/mcdcuh
title: M5-CM

description: 2d-seq file
DOI: 10.57745/xklsff
title: F10-CM

description: 2d-seq file
DOI: 10.15468/dl.hbcdyw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alepes djedaba",
 "Country is Greece",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030276-250827131500795/datasets/export for details.
DOI: 10.57745/geqsoh
title: F8-CT

description: 2d-seq file
DOI: 10.57745/y9ik0g
title: M12-CM

description: 2d-seq file
DOI: 10.57745/8kkrki
title: M6-CM

description: 2d-seq file
DOI: 10.57745/dyhgrw
title: M2-CT

description: 2d-seq file
DOI: 10.57745/r9w321
title: F3-CT

description: 2d-seq file
DOI: 10.57745/rkmexa
title: M1-CT

description: 2d-seq file
DOI: 10.57745/nchqy2
title: F8-CM.nii

description: 2d-seq file
DOI: 10.57745/dklaxw
title: M5-CT

description: 2d-seq file
DOI: 10.57745/ij8fcs
title: Read me.docx

description: text file
DOI: 10.57745/rfpcn5
title: M11-CM

description: 2d-seq file
DOI: 10.57745/23arss
title: F6-CT

description: 2d-seq file
DOI: 10.57745/gvl5f1
title: F4-CT

description: 2d-seq file
DOI: 10.57745/n5yix6
title: F12-CM

description: 2d-seq file
DOI: 10.57745/ogsto8
title: F7-CT

description: 2d-seq file
DOI: 10.57745/pxusjy
title: M3-CT

description: 2d-seq file
DOI: 10.57745/lpa0in
title: F11-CM

description: 2d-seq file
DOI: 10.57745/3ihnpm
title: F9-CM

description: 2d-seq file
DOI: 10.57745/vdhb0c
title: M8-CT

description: 2d-seq file
DOI: 10.57745/mzmvm3
title: F3-CM

description: 2d-seq file
DOI: 10.57745/cjudlb
title: M9-CT

description: 2d-seq file
DOI: 10.57745/5xy9nf
title: M4-CM

description: 2d-seq file
DOI: 10.57745/cmhwpt
title: F7-CM.json

description: json file
DOI: 10.57745/0hbkmn
title: M3-CM

description: 2d-seq file
DOI: 10.57745/70pueo
title: M7-CM

description: 2d-seq file
DOI: 10.5281/zenodo.16870557
title: Dataset for the paper "A Geospatially Encoded Dual-Channel Network with Attention and Physics Constraints for Accurate Seafloor Topography Reconstruction"

description: This dataset pertains to the paper titled “A Geospatially Encoded Dual-Channel Network with Attention and Physics Constraints for Accurate Seafloor Topography Reconstruction”. It consists of two main components: shipborne survey data and gravity data.

Shipborne Survey Data

The shipborne survey data are primarily multibeam data, sourced from the National Oceanic and Atmospheric Administration (NOAA) via the National Centers for Environmental Information (NCEI) Bathymetric Data Viewer platform. The platform can be accessed at the URL: https://www.ncei.noaa.gov/maps/bathymetry/.

Gravity Data

The gravity data are derived from the Scripps Institution of Oceanography (SIO). They correspond to data version 32.1, feature a grid resolution of 1’ × 1’, and were published in August 2022.

Research Regions and Data Identification

In this experiment, four specific regions were investigated:



165°W–160°W, 30°N–35°N

83°E–92°E, 10°S–10°N

15°W–5°E, 4°S–4°N

169°E–175°E, 31°N–37°N


Data files with the “Gravity” suffix denote gravity data, while those without this suffix represent shipborne survey data. For the gravity data:



“faa” stands for Gravity anomaly

“vgg” denotes Vertical gravity gradient

“east” represents The east component of vertical deflection

“north” signifies The north component of vertical deflection


For more detailed documentation related to this paper, please refer to the updated version (v2) or visit the link: https://doi.org/10.5281/zenodo.17054947. The link has been updated to include processed dataset files and corresponding model code, which can be directly accessed or reused for research purposes.
DOI: 10.57745/nsqype
title: F8-CM.json

description: json file
DOI: 10.57745/yu0q89
title: M4-CT

description: 2d-seq file
DOI: 10.57745/0yajbj
title: F1-CM

description: 2d-seq file
DOI: 10.57745/maraso
title: M10-CM

description: 2d-seq file
DOI: 10.57745/psubv2
title: M9-CM

description: 2d-seq file
DOI: 10.15468/dl.ac5b4x
title: Occurrence Download

description: A dataset containing 314 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pterorhinus perspicillatus",
 "Country is one of (Myanmar, Thailand, Lao People’s Democratic Republic, Cambodia, Viet Nam, Malaysia)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 314 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030278-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/tiageu
title: M10-CT

description: 2d-seq file
DOI: 10.57745/fmlysu
title: F9-CT

description: 2d-seq file
DOI: 10.57745/sgtyuk
title: M6-CT

description: 2d-seq file
DOI: 10.57745/p4jfne
title: MRI data of the research paper "Characterization of experimental cerebral malaria by volumetric MRI - A comparative study across the sexes " by Alicia Comino Garcia Muñoz, Oumaima Marfouk, Constance P Michel, Isabelle Varlet, Emilien Royer, Teodora-Adriana Perles-Barbacaru and Angèle Viola, published in PLOS One, 2025 Aug 18;20(8):e0328693. doi: 10.1371/journal.pone.0328693.

description: This dataset is linked to a research article published in PLOS ONE. The dataset consists of anatomical MRI acquisition files of mouse brains obtained with a RARE sequence.
DOI: 10.34740/kaggle/dsv/12968092
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.15468/dl.u9p5t8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alepes djedaba",
 "Country is Libya",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030277-250827131500795/datasets/export for details.
DOI: 10.15468/dl.2n9f5a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ortygornis gularis",
 "Country is one of (Myanmar, Thailand, Lao People’s Democratic Republic, Cambodia, Viet Nam, Malaysia)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030279-250827131500795/datasets/export for details.
DOI: 10.15468/dl.823xtd
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Notarius neogranatensis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030281-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71802/b5ctq59m
title: 2012_Il nuovo Software NILDE 4.0

description: Presentazione che descrive il sistema Nilde, un software e network per il document delivery tra biblioteche, creato per migliorare la cooperazione e la condivisione delle risorse bibliografiche. Fondato nel 2001, ha visto una crescente adesione di biblioteche italiane e estere, e si basa su regole di reciprocità e qualità del servizio. Inoltre, il testo affronta temi legati al diritto d'autore e alle politiche di licensing con gli editori riguardanti i servizi di prestito interbibliotecario.
DOI: 10.5281/zenodo.17056246
title: Regional variations of Mercury's crustal density and porosity from MESSENGER gravity data

description: DescriptionThis dataset archives the gravity field solution HgM009 and the results of 230 admittance analyses used to construct maps of Mercury’s crustal density, porosity, and lithospheric structure. The materials support the study “Regional variations of Mercury's crustal density and porosity from MESSENGER gravity data”.

The dataset is organized into the following folders:





HgM009: Gravity solution and full covariance matrix. The covariance matrix includes terms in the order: C20, C21, C21, C30, …, C160160, S21, S22, S31, S32, …, S160160.




Maps: Gridded files of lateral variations in crustal density, crustal thickness, porosity, and elastic thickness of the lithosphere.




AdmittanceSpectra: Figures showing correlation and admittance spectra.




Misfit&Histograms: Misfit plots and histograms of estimated parameters from top-load modeling in the admittance analyses.




LocalizationResults: Summary files with information on the localization windows adopted in each analysis and the corresponding parameter estimates.



CitationPlease cite as:Genova, A., et al. (2022). Regional variations of Mercury’s crustal density and porosity from MESSENGER gravity data. Icarus, 386, 115332. https://doi.org/10.1016/j.icarus.2022.115332
DOI: 10.5281/zenodo.17056247
title: Regional variations of Mercury's crustal density and porosity from MESSENGER gravity data

description: DescriptionThis dataset archives the gravity field solution HgM009 and the results of 230 admittance analyses used to construct maps of Mercury’s crustal density, porosity, and lithospheric structure. The materials support the study “Regional variations of Mercury's crustal density and porosity from MESSENGER gravity data”.

The dataset is organized into the following folders:





HgM009: Gravity solution and full covariance matrix. The covariance matrix includes terms in the order: C20, C21, C21, C30, …, C160160, S21, S22, S31, S32, …, S160160.




Maps: Gridded files of lateral variations in crustal density, crustal thickness, porosity, and elastic thickness of the lithosphere.




AdmittanceSpectra: Figures showing correlation and admittance spectra.




Misfit&Histograms: Misfit plots and histograms of estimated parameters from top-load modeling in the admittance analyses.




LocalizationResults: Summary files with information on the localization windows adopted in each analysis and the corresponding parameter estimates.



CitationPlease cite as:Genova, A., et al. (2022). Regional variations of Mercury’s crustal density and porosity from MESSENGER gravity data. Icarus, 386, 115332. https://doi.org/10.1016/j.icarus.2022.115332