cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4228/zalf-4vvc-d715
title: Effect of mineral and organic fertilizer on N dynamics upon erosion-induced topsoil dilution

description: Erosion-induced topsoil dilution strongly affects cropland biogeochemistry and is associated with a negative effect on soil health and crop productivity. While its impact on soil C cycling has been widely recognized, there are few information about its impact on soil N cycling and N fertilizer dynamics. Here, we studied three factors potentially influencing N cycling and N fertilizer dynamics in cropping systems, namely: 1.) soil type, 2.) erosion-induced topsoil dilution and 3.) N fertilizer form in a full-factorial pot experiment using canola plants. We studied three erosion affected soil types (Luvisol, eroded Luvisol, calcaric Regosol) and performed topsoil dilution in all three soils by admixing 20% of the respective subsoil into its topsoil. N fertilizer dynamics was investigated using either mineral (calcium ammonium nitrate) and organic (biogas digestate) fertilizer, labeled with 15N. The fertilizer 15N recovery and the distribution of the fertilizer N in different soil fractions was quantified after plant maturity. Fertilizer N dynamics and utilization were influenced by all three factors investigated. 15N recovery in the plant-soil system was higher and fertilizer N utilization was lower in the treatments with diluted topsoil than in the non-diluted controls. Similarly, plants of the organic fertilizer N treatments took up significantly less fertilizer N in comparison to mineral fertilizer treatments. Both, topsoil dilution and organic fertilizer application promoted 15N recovery and N accumulation in the soil fractions, with strong differences between soil types. Our study reveals a noteworthy insight: topsoil dilution due to soil erosion has a negligible impact on N cycling and dynamics in the plant-soil system. The crucial factors influencing these processes are found to be the choice of fertilizer form and the specific soil type. Recognizing these aspects is essential for a precise and comprehensive assessment of the environmental continuum, emphasizing the novelty of our findings. This table contains the Index of the data collection.

Related datasets are listed in the metadata element 'Related Identifier'.
Dataset version 1.0
DOI: 10.15468/dl.v9z9dk
title: Occurrence Download

description: A dataset containing 40057 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Agapostemon Guérin-Méneville, 1844",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 40057 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056959-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/examiner-c44-69641
title: Assistance League, 1953

description: 13 images. Assistance League, August 28 1953. Mrs. Eugene Riecker; Mrs. Donald Starling; Mrs. Victor Montgomery; Mrs. Clarence Viault; Mrs. Payard Ryder; Mrs. Carleton Coveny; Mrs. Lloyd Green; Mrs. Harold C. Ramser; Mrs. Richard Castle; Susan Castle -- 10 years; Mrs. John Persons; Mrs. Perry Wright; Mrs. George H. Moore; Andrew Moore -- 10 years; Nickie Moore -- 9 years; Mrs. William Hutchison; Mrs. John Patterson. (Sleeve reads: S-9747).; Caption slip reads: "Photographer: Lapp. Date: 1953-08-28. Assignment: Assistance League. Page 1 layout".; Supplementary material reads: "47/48: Mrs. Eugene Riecker; Mrs. Donald Starling; Mrs. Victor Montgomery; Mrs. Clarence Viault; Mrs. Bayard Ryder; Mrs. Carleton Coveny; Mrs. Lloyd Green. 37/38: Mrs. Victor Montgomery; Mrs. Donald Starling; Mrs. Lloyd Green; Mrs. Clarence Viault; Mrs. Eugene Riecker; Carleton Coveny; Bayard Ryder. 13/14: Mrs. Harold C. Ramser. 17/18/23: Mrs. Richard Castle; Susan (10 yrs. old); Mrs. John Persons. 45/46: Mrs. Perry Wright; Mrs. George H. Moore; Andrew (10 1/2 years); Nickie (9 yrs). 39/40/24: Mrs. William Hutchison; Mrs. John A. Patterson (with mop)".; Other supplementary material reads: "Photo assignment for Friday August 28 at 11 a.m. Page one society layout. Pls go to main office of Assistance League, St. Andrews at De Longpre, see Mrs. Kirby or Miss Michaud, get shots for page one layout on National Assistance League. Candid, large and small shots, no duplications. Contacts must go immediately to Gene Cannoy in art department. Thanks Carter Ludlow".
DOI: 10.15468/dl.9xmrtf
title: Occurrence Download

description: A dataset containing 1381 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 Amnirana albolabris (Hallowell, 1856)"
 ]
}

 The dataset includes 1381 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019549-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tatbtz
title: Occurrence Download

description: A dataset containing 707081 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Portugal, Spain)",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 707081 records from 297 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005479-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60521/331930
title: Seismic navigation files (ASCII format) from the NBP1402 Sabrina coast, Antarctica, multi-channel seismic survey (2014)

description: This data set contains a navigation text file for each multi-channel seismic line from the NBP1402 (Sabrina coast) survey conducted in 2014. Each navigation file is a space-deliminated ASCII file containing 9 columns: traceNumber, shotNumber,stationNumber, correctedLatitude, correctedLongitude, distanceBetweenStations, cumulativeDistance, originalLatitude, originalLongitude. The correctedLatitude and correctedLongitude values have accounted for the airgun layback with respect to the shipboard GPS.
DOI: 10.60521/331931
title: Raw seismic reflection shot gathers (SEG-Y format) from the NBP1402 Sabrina coast, Antarctica, multi-channel seismic survey (2014)

description: Each SEG-Y file contains all shot gathers for each NBP1402 MCS seismic line along the Sabrina coast on the Antarctic margin. The seismic source was two Sercel G.I. guns configured at 45/45 cubic inches (harmonic mode) with an in-line separation of 2m towed 35.5 m or 29 m behind the ship stern. The GI gun array was towed at nominal depths of 2.5 m or 3 m and fired every 5 seconds. The seismic streamer had 24 channels spaced at 3.125 meters apart and was towed 23 m behind the stern, putting the near offset forward of the source by 6.25 or 12.5 meters, depending on tow location of the gun array.
DOI: 10.60521/331932
title: Processed post-stack seismic reflection data (SEG-Y format) from the NBP1402 Sabrina coast, Antarctica, multi-channel seismic survey (2014)

description: Each processed SEG-Y file in this data set contains stacked sections from each MCS line along the Sabrina coast on the Antarctic margin. All used a CDP interval of 3.125 meters and the shot spacing geometry in the associated nav file. Most have been FK-migrated, as designated by "fkmig" in the file name, using a constant velocity of 1480 m/s. A full list of processing steps may be found in the associated Cruise Report.
DOI: 10.5281/zenodo.13885423
title: Data-driven Soil Moisture Sensing with mmWave Radar In Environment 2

description: This is a millimeter-wave radar soil moisture dataset, which includes soil samples with 20 different moisture levels, ranging from 10.0% to 48.0% with approximately 2% intervals.In the bin file names, the first number after "data" represents the soil moisture level, labeled as 1 to 20, with moisture levels of 10.0%, 12.0%, 14.0%, 16.0%, 18.0%, 20.0%, 22.0%, 24.0%, 26.0%, 28.0%, 30.0%, 32.0%, 34.0%, 36.0%, 38.0%, 40.0%, 42.0%, 44.0%, 46.0%, and 48.0%, respectively.In the bin file name, the second number after 'data' indicates the environment: 0 represents a static environment, and 1 represents a dynamic environment, where there is human movement.In the bin file name, 'train' and 'test' after 'data' represent the training and testing data, which were collected in two separate sessions.The data was collected using the IWR1843 radar board, which has 3 transmitting antennas and 4 receiving antennas. Each bin file contains 64 radar frames, with each frame consisting of 96 chirps, and each chirp containing 384 sampling points.
DOI: 10.5281/zenodo.13885424
title: Data-driven Soil Moisture Sensing with mmWave Radar In Environment 2

description: This is a millimeter-wave radar soil moisture dataset, which includes soil samples with 20 different moisture levels, ranging from 10.0% to 48.0% with approximately 2% intervals.In the bin file names, the first number after "data" represents the soil moisture level, labeled as 1 to 20, with moisture levels of 10.0%, 12.0%, 14.0%, 16.0%, 18.0%, 20.0%, 22.0%, 24.0%, 26.0%, 28.0%, 30.0%, 32.0%, 34.0%, 36.0%, 38.0%, 40.0%, 42.0%, 44.0%, 46.0%, and 48.0%, respectively.In the bin file name, the second number after 'data' indicates the environment: 0 represents a static environment, and 1 represents a dynamic environment, where there is human movement.In the bin file name, 'train' and 'test' after 'data' represent the training and testing data, which were collected in two separate sessions.The data was collected using the IWR1843 radar board, which has 3 transmitting antennas and 4 receiving antennas. Each bin file contains 64 radar frames, with each frame consisting of 96 chirps, and each chirp containing 384 sampling points.
DOI: 10.15468/dl.4eu35m
title: Occurrence Download

description: A dataset containing 3673846 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2023-2024"
 ]
}

 The dataset includes 3673846 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040180-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26347942
title: A 3-D Vs Model of the Central Andes

description: A 3-D Vs Model of the Central Andes.ares1p1_C, the anisotropic part obtained by only inverting the C data.ares1p1_C+SWS, the anisotropic part obtained by jointly inverting the C data and SWS data.vres1p1, the isotropic part.<br>
DOI: 10.6084/m9.figshare.26347942.v1
title: A 3-D Vs Model of the Central Andes

description: A 3-D Vs Model of the Central Andes.ares1p1_C, the anisotropic part obtained by only inverting the C data.ares1p1_C+SWS, the anisotropic part obtained by jointly inverting the C data and SWS data.vres1p1, the isotropic part.<br>
DOI: 10.15468/dl.2f36m6
title: Occurrence Download

description: A dataset containing 1312452 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-46.99908 -23.81545, -46.15498 -23.81545, -46.15498 -23.37228, -46.99908 -23.37228, -46.99908 -23.81545))",
 "Year is greater than or equal to 2010",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 1312452 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040190-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e6mh4p
title: Occurrence Download

description: A dataset containing 577815 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anopheles Meigen, 1818"
 ]
}

 The dataset includes 577815 records from 291 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040179-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.thq2uk
title: Occurrence Download

description: A dataset containing 16821 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-46.77242 -23.36392, -46.68828 -23.36392, -46.68828 -23.24696, -46.77242 -23.24696, -46.77242 -23.36392))",
 "Year is greater than or equal to 2010",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 16821 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040197-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t96fxv
title: Occurrence Download

description: A dataset containing 6230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-44.33868 -2.653122, -44.13832 -2.653122, -44.13832 -2.475125, -44.33868 -2.475125, -44.33868 -2.653122))",
 "Year is greater than or equal to 2010",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 6230 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040198-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.saqag3
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Calamaria concolor Orlov, Truong, Tao, Ananjeva & Cuc, 2010"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040200-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.anawq5
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ikakogi tayrona (Ruiz-Carranza & Lynch, 1991)"
 ]
}

 The dataset includes 56 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040201-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ayedq3
title: Occurrence Download

description: A dataset containing 97864 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-46.80248 -24.19217, -46.38473 -24.19217, -46.38473 -23.97446, -46.80248 -23.97446, -46.80248 -24.19217))",
 "Year is greater than or equal to 2010",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 97864 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040199-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6z6g39
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cephalocereus euphorbioides (Haw.) Britton & Rose",
 "Geometry POLYGON((-120.81921 6.30411,-76.28649 6.30411,-76.28649 36.01485,-120.81921 36.01485,-120.81921 6.30411))",
 "BasisOfRecord is one of (Human Observation, Specimen)"
 ]
}

 The dataset includes 26 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040202-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27054307
title: xml

description: xmldata
DOI: 10.6084/m9.figshare.27054307.v6
title: xml

description: xmldata
DOI: 10.6084/m9.figshare.27054307.v5
title: xml

description: Changes in urban land cover (ULC) provide critical evidence of urbanization including both urban expansion and internal structural renewal. Existing global urbanization research focused on urban expansion and neglected the dynamic ULC changes occurring inside urban areas. This study addresses this issue by developing a Global Annual Urban Land Cover Fraction (GAULCF) dataset, which encompasses six ULC categories (Non-crop Vegetation-Cropland-Building-Non-build Impervious-Surface-Soil-Water, V-C-B-I-S-W) in global urban areas and measures their dynamics from 2001 to 2020. However, V-C-B-I-S-W six kinds of ULC extraction is much more difficult than classical V-I-S extraction, especially for distinguishing non-crop vegetation and cropland, buildings and non-build impervious. Accordingly, this study proposes a novel deep learning unmixing algorithm, Normalized Non-negative Multi-objective Residual T-ConvLSTM (NNMRT) model, with strong encoding and recognition capacities for extracting GAULCF. GAULCF has undergone rigorous accuracy assessment and third-party validation, whose standard error of regression, root mean square error, and mean absolute error are 0.127, 0.113, and 0.061, respectively. The GAULCF dataset reveals significant global ULC changes over the past 20 years: the impervious surface area nearly doubled, while building areas increased from 124,589 km² to 206,603 km²; and vegetation and cropland were the predominant land cover types lost to urban expansion. GAULCF's intensive monitoring of ULC changes during urbanization aids in identifying potential issues in urban development, providing crucial insights and data support for addressing global challenges and achieving sustainable urban development.
DOI: 10.15468/dl.uvev2p
title: Occurrence Download

description: A dataset containing 87202 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-46.45913 -24.01632, -46.18921 -24.01632, -46.18921 -23.87402, -46.45913 -23.87402, -46.45913 -24.01632))",
 "Year is greater than or equal to 2010",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 87202 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040203-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pcbsf5
title: Occurrence Download

description: A dataset containing 254 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Saturnia japonica Moore, 1862"
 ]
}

 The dataset includes 254 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040204-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7tmsjy
title: Occurrence Download

description: A dataset containing 1686 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventario de la biota terrestre (florístico) y marina (invertebrados, peces y macroalgas bentónicos) del parque nacional Isla Isabel (Algasinvertebrados)"
 ]
}

 The dataset includes 1686 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040205-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27094678.v3
title: GAULCF (2001-2020)

description: Changes in urban land cover (ULC) provide critical evidence of urbanization including both urban expansion and internal structural renewal. Existing global urbanization research focused on urban expansion and neglected the dynamic ULC changes occurring inside urban areas. This study addresses this issue by developing a Global Annual Urban Land Cover Fraction (GAULCF) dataset, which encompasses six ULC categories (Non-crop Vegetation-Cropland-Building-Non-build Impervious-Surface-Soil-Water, V-C-B-I-S-W) in global urban areas and measures their dynamics from 2001 to 2020. However, V-C-B-I-S-W six kinds of ULC extraction is much more difficult than classical V-I-S extraction, especially for distinguishing non-crop vegetation and cropland, buildings and non-build impervious. Accordingly, this study proposes a novel deep learning unmixing algorithm, Normalized Non-negative Multi-objective Residual T-ConvLSTM (NNMRT) model, with strong encoding and recognition capacities for extracting GAULCF. GAULCF has undergone rigorous accuracy assessment and third-party validation, whose standard error of regression, root mean square error, and mean absolute error are 0.127, 0.113, and 0.061, respectively. The GAULCF dataset reveals significant global ULC changes over the past 20 years: the impervious surface area nearly doubled, while building areas increased from 124,589 km² to 206,603 km²; and vegetation and cropland were the predominant land cover types lost to urban expansion. GAULCF's intensive monitoring of ULC changes during urbanization aids in identifying potential issues in urban development, providing crucial insights and data support for addressing global challenges and achieving sustainable urban development.
DOI: 10.15468/dl.xchdt6
title: Occurrence Download

description: A dataset containing 257 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cephalocereus mezcalaensis Bravo",
 "Geometry POLYGON((-120.81921 6.30411,-76.28649 6.30411,-76.28649 36.01485,-120.81921 36.01485,-120.81921 6.30411))",
 "BasisOfRecord is one of (Human Observation, Specimen)"
 ]
}

 The dataset includes 257 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040207-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p25apu
title: Occurrence Download

description: A dataset containing 92425 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-46.02566 -23.3305, -45.77103 -23.3305, -45.77103 -23.13003, -46.02566 -23.13003, -46.02566 -23.3305))",
 "Year is greater than or equal to 2010",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 92425 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040206-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.