cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cczd1lz
title: CCDC 905311: Experimental Crystal Structure Determination

description: Related Article: Xu Huixia, Sun Peng, Zhao Dan, Yang Tingting, Hao Yuying, Wang Hua, Shi Heping, Xu Bingshe|2015|New J.Chem.|39|5293|doi:10.1039/C5NJ00195A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cczd1m0
title: CCDC 905312: Experimental Crystal Structure Determination

description: Related Article: Xu Huixia, Sun Peng, Zhao Dan, Yang Tingting, Hao Yuying, Wang Hua, Shi Heping, Xu Bingshe|2015|New J.Chem.|39|5293|doi:10.1039/C5NJ00195A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25582/data.2024-04.3093162/2559280
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3093163/2559281
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3093164/2559282
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3093166/2559283
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3093174/2559284
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3093175/2559285
title: Data for EMSL Project 51287 from April 2024
DOI: 10.15468/dl.b25xcg
title: Occurrence Download

description: A dataset containing 230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ateleia pterocarpa, Ateleia pterocarpa, Ateleia pterocarpa, Ateleia pterocarpa)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 230 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011674-251009101135966/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.26130229
title: MAPLID source code

description: Code and data for the paper:<br><b>MAPLID: A new multi-label approach for place identification using data supplied by mobile network operators</b>, Mendoza-Hurtado, M., Romero-del-Castillo, J.A., & Ortiz-Boyer, D.  <br><i>International Journal of Geographical Information Science</i> (2026)<br>MAPLID is a supervised multi-label classification framework that assigns multiple functional labels (home, work, density levels) to grid cells using Call Detail Records (CDRs) from mobile network operators. Unlike traditional single-label approaches, MAPLID captures the inherent functional mix of urban spaces.<br><br>Please revise the README.md for a detailed guide on how to use the code.<br>A PDF guide for the software "herramienta-multilabel" is also provided.
DOI: 10.6084/m9.figshare.26130229.v1
title: MAPLID source code

description: Code and data for the paper:<br><b>MAPLID: A new multi-label approach for place identification using data supplied by mobile network operators</b>, Mendoza-Hurtado, M., Romero-del-Castillo, J.A., & Ortiz-Boyer, D.  <br><i>International Journal of Geographical Information Science</i> (2026)<br>MAPLID is a supervised multi-label classification framework that assigns multiple functional labels (home, work, density levels) to grid cells using Call Detail Records (CDRs) from mobile network operators. Unlike traditional single-label approaches, MAPLID captures the inherent functional mix of urban spaces.<br><br>Please revise the README.md for a detailed guide on how to use the code.<br>A PDF guide for the software "herramienta-multilabel" is also provided.
DOI: 10.15468/dl.ntxs8n
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xerothamnella parvifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 112 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017090-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dns3et
title: Occurrence Download

description: A dataset containing 307 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trevesia palmata",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 307 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017091-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18636495
title: ABC VADER Sentiment Corpus (n=526, 2020-2026)

description: Raw titles, dates, VADER sentiment scores (Compound/Pos/Neu/Neg), sources, URLs for ABC LGBTQIA/gender coverage analysis (n=368 ABC + n=158 benchmarks: SkyNews/NewsCorp/Guardian/Telegraph).

ABC shows positive tilt (mean Compound +0.22) vs benchmarks' balance/neg (-0.04), supporting omission/sentiment bias claims.

Reproducible for media NLP research. CC-BY 4.0.
DOI: 10.1594/pangaea.743211
title: Particle size analysis and end-member modelling of sediment core GeoB6008-1

description: For end member modelling particle size data from GeoB6008-1 and GeoB6008-2 were combined and end member output from these cores should be considered together.
DOI: 10.1594/pangaea.918726
title: Age determination of sediment core PG2420-5
DOI: 10.1594/pangaea.966555
title: Sediment properties of gravity core DG12-GC01 obtained on the Drygalski Basin in the Ross Sea

description: The MS was measured at 1 cm interval using Bartington MS-2B susceptibility meter. The WC was also measured at 1 cm interval using 1 cm thick subsamples by calculating the following equation with an assumption of 35 psu for the salinity of seawater:WC (%) = (mass of wet sediment - (mass of dry sediment+mass of salt))/(mass of wet sediment × 100).The grain size was measured at 4 cm intervals. After removing organic matter using 10% H2O2 and biogenic silica using 2N NaOH, the coarse fraction (&gt;63 μm) was analyzed using 1 phi interval sieves. In contrast, the fine fraction (&lt;63 μm) was analyzed using Micrometrics Sedigraph III 5120. The grain size classification followed the scheme of Folk and Ward (1957).The Total Carbon (TC) and Total Nitrogen (TN) contents were analyzed using an elemental analyzer (FLASH 2000 NC Analyzer) with an analytical precision of less than 0.1%. Total Inorganic Carbon (TIC) was measured using UIC CO2 coulometer (Model CM5240). CaCO3 concentration was calculated by multiplying TIC content by 8.333 (i.e., the ratio of CaCO3 and carbon). TOC content was calculated as the difference between TC and TIC contents.Biogenic silica concentration was measured at 8 cm intervals (GC01, GC04, and GC05) and 4 cm intervals (GC02) using the wet alkaline sequential extraction method using 1N NaOH solution at 85˚C modified from DeMaster (1981) at Pusan National University. Biogenic opal content was calculated by multiplying biogenic silica concentrations by 2.4 (i.e., the ratio of biogenic opal and Si) (Mortlock and Froelich, 1989). The analytical precision for the biogenic opal measurement was ±1%.The carbon isotope composition (δ13CSOM) of the sediment organic matter was measured for selected sediment samples at 10 cm intervals from GC01 and at 8 or 16 cm intervals from GC02, 04, and 05 using elemental analysis-isotope ratio mass spectrometry (EA-IRMS: Europa Scientific 20-20 isotope ratio mass spectrometer) at Iso-Analytical Ltd. (UK). The δ13CSOM values were expressed in conventional delta notation, which is the per mil deviation from the V-PDB standard. The analytical precision for δ13CSOM was approximately ±0.08‰.
DOI: 10.5281/zenodo.18629016
title: ABC VADER Sentiment Corpus (n=526, 2020-2026)

description: Raw titles, dates, sources, VADER scores (Compound/Pos/Neu/Neg) for ABC vs benchmarks (SkyNews/NewsCorp/Guardian AU) on LGBTQ+/trans coverage. Analyzes omission/political bias.
DOI: 10.1594/pangaea.966556
title: Sediment properties of gravity core DG12-GC02 obtained on the Drygalski Basin in the Ross Sea

description: The MS was measured at 1 cm interval using Bartington MS-2B susceptibility meter. The WC was also measured at 1 cm interval using 1 cm thick subsamples by calculating the following equation with an assumption of 35 psu for the salinity of seawater:WC (%) = (mass of wet sediment - (mass of dry sediment+mass of salt))/(mass of wet sediment × 100).The grain size was measured at 4 cm intervals. After removing organic matter using 10% H2O2 and biogenic silica using 2N NaOH, the coarse fraction (&gt;63 μm) was analyzed using 1 phi interval sieves. In contrast, the fine fraction (&lt;63 μm) was analyzed using Micrometrics Sedigraph III 5120. The grain size classification followed the scheme of Folk and Ward (1957).The Total Carbon (TC) and Total Nitrogen (TN) contents were analyzed using an elemental analyzer (FLASH 2000 NC Analyzer) with an analytical precision of less than 0.1%. Total Inorganic Carbon (TIC) was measured using UIC CO2 coulometer (Model CM5240). CaCO3 concentration was calculated by multiplying TIC content by 8.333 (i.e., the ratio of CaCO3 and carbon). TOC content was calculated as the difference between TC and TIC contents.Biogenic silica concentration was measured at 8 cm intervals (GC01, GC04, and GC05) and 4 cm intervals (GC02) using the wet alkaline sequential extraction method using 1N NaOH solution at 85˚C modified from DeMaster (1981) at Pusan National University. Biogenic opal content was calculated by multiplying biogenic silica concentrations by 2.4 (i.e., the ratio of biogenic opal and Si) (Mortlock and Froelich, 1989). The analytical precision for the biogenic opal measurement was ±1%.The carbon isotope composition (δ13CSOM) of the sediment organic matter was measured for selected sediment samples at 10 cm intervals from GC01 and at 8 or 16 cm intervals from GC02, 04, and 05 using elemental analysis-isotope ratio mass spectrometry (EA-IRMS: Europa Scientific 20-20 isotope ratio mass spectrometer) at Iso-Analytical Ltd. (UK). The δ13CSOM values were expressed in conventional delta notation, which is the per mil deviation from the V-PDB standard. The analytical precision for δ13CSOM was approximately ±0.08‰.
DOI: 10.1594/pangaea.966557
title: Sediment properties of gravity core DG12-GC04 obtained on the Drygalski Basin in the Ross Sea

description: The MS was measured at 1 cm interval using Bartington MS-2B susceptibility meter. The WC was also measured at 1 cm interval using 1 cm thick subsamples by calculating the following equation with an assumption of 35 psu for the salinity of seawater:WC (%) = (mass of wet sediment - (mass of dry sediment+mass of salt))/(mass of wet sediment × 100).The grain size was measured at 4 cm intervals. After removing organic matter using 10% H2O2 and biogenic silica using 2N NaOH, the coarse fraction (&gt;63 μm) was analyzed using 1 phi interval sieves. In contrast, the fine fraction (&lt;63 μm) was analyzed using Micrometrics Sedigraph III 5120. The grain size classification followed the scheme of Folk and Ward (1957).The Total Carbon (TC) and Total Nitrogen (TN) contents were analyzed using an elemental analyzer (FLASH 2000 NC Analyzer) with an analytical precision of less than 0.1%. Total Inorganic Carbon (TIC) was measured using UIC CO2 coulometer (Model CM5240). CaCO3 concentration was calculated by multiplying TIC content by 8.333 (i.e., the ratio of CaCO3 and carbon). TOC content was calculated as the difference between TC and TIC contents.Biogenic silica concentration was measured at 8 cm intervals (GC01, GC04, and GC05) and 4 cm intervals (GC02) using the wet alkaline sequential extraction method using 1N NaOH solution at 85˚C modified from DeMaster (1981) at Pusan National University. Biogenic opal content was calculated by multiplying biogenic silica concentrations by 2.4 (i.e., the ratio of biogenic opal and Si) (Mortlock and Froelich, 1989). The analytical precision for the biogenic opal measurement was ±1%.The carbon isotope composition (δ13CSOM) of the sediment organic matter was measured for selected sediment samples at 10 cm intervals from GC01 and at 8 or 16 cm intervals from GC02, 04, and 05 using elemental analysis-isotope ratio mass spectrometry (EA-IRMS: Europa Scientific 20-20 isotope ratio mass spectrometer) at Iso-Analytical Ltd. (UK). The δ13CSOM values were expressed in conventional delta notation, which is the per mil deviation from the V-PDB standard. The analytical precision for δ13CSOM was approximately ±0.08‰.
DOI: 10.1594/pangaea.966559
title: Sediment properties of gravity core DG12-GC05 obtained on the Drygalski Basin in the Ross Sea

description: The MS was measured at 1 cm interval using Bartington MS-2B susceptibility meter. The WC was also measured at 1 cm interval using 1 cm thick subsamples by calculating the following equation with an assumption of 35 psu for the salinity of seawater:WC (%) = (mass of wet sediment - (mass of dry sediment+mass of salt))/(mass of wet sediment × 100).The grain size was measured at 4 cm intervals. After removing organic matter using 10% H2O2 and biogenic silica using 2N NaOH, the coarse fraction (&gt;63 μm) was analyzed using 1 phi interval sieves. In contrast, the fine fraction (&lt;63 μm) was analyzed using Micrometrics Sedigraph III 5120. The grain size classification followed the scheme of Folk and Ward (1957).The Total Carbon (TC) and Total Nitrogen (TN) contents were analyzed using an elemental analyzer (FLASH 2000 NC Analyzer) with an analytical precision of less than 0.1%. Total Inorganic Carbon (TIC) was measured using UIC CO2 coulometer (Model CM5240). CaCO3 concentration was calculated by multiplying TIC content by 8.333 (i.e., the ratio of CaCO3 and carbon). TOC content was calculated as the difference between TC and TIC contents.Biogenic silica concentration was measured at 8 cm intervals (GC01, GC04, and GC05) and 4 cm intervals (GC02) using the wet alkaline sequential extraction method using 1N NaOH solution at 85˚C modified from DeMaster (1981) at Pusan National University. Biogenic opal content was calculated by multiplying biogenic silica concentrations by 2.4 (i.e., the ratio of biogenic opal and Si) (Mortlock and Froelich, 1989). The analytical precision for the biogenic opal measurement was ±1%.The carbon isotope composition (δ13CSOM) of the sediment organic matter was measured for selected sediment samples at 10 cm intervals from GC01 and at 8 or 16 cm intervals from GC02, 04, and 05 using elemental analysis-isotope ratio mass spectrometry (EA-IRMS: Europa Scientific 20-20 isotope ratio mass spectrometer) at Iso-Analytical Ltd. (UK). The δ13CSOM values were expressed in conventional delta notation, which is the per mil deviation from the V-PDB standard. The analytical precision for δ13CSOM was approximately ±0.08‰.
DOI: 10.1594/pangaea.918727
title: Biogeochemistry of sediment core PG2420-5
DOI: 10.1594/pangaea.988420
title: Raw data of physical oceanography during RV HEINCKE cruise HE669

description: Raw physical oceanography data was acquired by a ship-based Seabird SBE911plus CTD-Rosette system onboard RV HEINCKE. The CTD was equipped with duplicate sensors for temperature (SBE3plus) and conductivity (SBE4) as well as one sensor for oxygen (SBE43). Additional sensors such as a WET Labs C-Star transmissometer, a WET Labs ECO-AFL fluorometer (FLRTD) and an altimeter (Teledyne Benthos PSA-916) were mounted to the CTD. The data was recorded using pre-cruise calibration coefficients. No correction, post-cruise calibration or quality control was applied. Processed profile data are available via the link below.
DOI: 10.1594/pangaea.897917
title: Grain-size end-members of sediment core GeoB8323-2
DOI: 10.1594/pangaea.759739
title: (Table 1) Concentrations of Cs-137 and Co-60 radionuclides in bottom sediments from the Northwestern Black Sea
DOI: 10.1594/pangaea.910063
title: (Table 2) Monte Carlo end-member simulation results for the dual carbon isotope model
DOI: 10.1594/pangaea.742936
title: (Figure S1) 210Pbxs- and 137Cs data from gravity core GeoB9501-5
DOI: 10.1594/pangaea.743212
title: Particle size analysis and end-member modelling of sediment core GeoB6008-2

description: For end member modelling particle size data from GeoB6008-1 and GeoB6008-2 were combined and end member output from these cores should be considered together.
DOI: 10.1594/pangaea.971357
title: Oxygen consumption rate, organic carbon and grain size data for intertidal sediments and oxygen concentration of pore waters data of Spiekeroog Island North Beach, May 2022 to April 2023

description: The permeable sandy sediments of beach aquifers receive a high input of electron acceptors, such as oxygen (O2), as well as fresh organic matter through seawater infiltration, driving the biogeochemical turnover in the subterranean estuary. Here, we experimentally determined seasonal sedimentary O2 consumption rates of intertidal sediments along a transect in the seawater infiltration zone at Spiekeroog Island North Beach, Germany, and present the data together with measurements of organic carbon and grain sizes, oxygen concentration of pore waters and beach topography. The samples were taken down to 1 m depth during two-monthly sampling campaigns from May 2022 to April 2023. Preliminary investigations of O2 consumption rates took place in in March, June and August 2017. Sediment and porewater sampling procedures were carried out as described by Massmann et al. (2023). O2 consumption rates were determined in slurry incubations of the retrieved sediments using gas tight vials (Labco Exetainer® 12 ml) equipped with O2 sensor spots (Pyroscience, OXSP5). Incubations were carried out in the dark at in situ temperatures, and vials were mounted on a rotating wheel to mimic porewater advection. The sediment's total organic carbon content was determined in a CS analyser (Eltra CS 800). Additionally, the fine fraction of the sediment was washed out and the organic carbon content of the fine sediments was measured in a CHNSO analyser (Hekatech Euro EA). The grain size distribution of the sediments was detemined using dynamic image analysis (Sympatec QICPIC). The O2 concentration in the pore water along the transect was measured immediately after the sample was taken using a flow-through oxygen optode (Pyroscience, OXFTC). The data was collected to investigate the impact of seasonal inputs and filtration efficiency on the O2 consumption during seawater infiltration into the permeable sands of beach aquifers.
DOI: 10.1594/pangaea.971356
title: Beach topography data of Spiekeroog Island North Beach, May 2022 to April 2023

description: Sandy beaches are highly dynamic land-ocean transition zones. For two-monthly sampling campaigns from May 2022 to April 2023, the beach topography along a sampling transect in the seawater infiltration zone at Spiekeroog Island North Beach, Germany, was obtained using Digital Elevation Models (DEMs) derived from aerial imagery during drone flights and manual Real-Time-Kinematic (RTK) differential GPS-surveys. In December 2022, the data was obtained using differential GPS measurements (Stonex S9 III Plus GNSS) because of unfavorable conditions for drone flights. These measurements were carried out in connection with sediment and pore water sampling along the transect during the campaigns. The data was collected to investigate the impact of morphodynamics on the O2 consumption during seawater infiltration into the permeable sands of beach aquifers.
DOI: 10.1594/pangaea.976007
title: Organic geochemical analysis of river samples from Baker River and Baker-Martinez Fjord

description: This dataset presents bulk organic geochemical data (TOC, d13C) obtained by EA-IRMS analysis on suspended river sediments at the surface of five rivers of Chilean Patagonia (44-48⁰S). The samples were collected between 2008 and 2019 in all seasons. All the water samples were stored in pre-rinsed I-chem cubitainers and filtered within 48 hours using a pressurized filtration system equipped with a 90 mm diameter PES membrane (pore size 0.22 µm)
DOI: 10.1594/pangaea.976008
title: Organic geochemical analysis of sediment core FC17-08 from Baker River and Baker-Martinez Fjord

description: This dataset presents bulk organic geochemical data (TOC, d13C) obtained by EA-IRMS analysis on samples from the sediment core FC17-08 collected in the submarine Baker River delta in the Baker-Martinez Fjord system, Chilean Patagonia (44-48⁰S). The core was collected in February 2017 using a gravity corer with 1.5 m-long transparent liner tube. Samples for carbon analyses were collected every 5 mm in the core.
DOI: 10.1594/pangaea.976035
title: Organic geochemical analysis of sediment trap samples from Baker River and Baker-Martinez Fjord

description: This dataset presents bulk organic geochemical data (TOC, d13C) obtained by EA-IRMS analysis on samples from a sediment trap deployed 20 meters above seabed in the submarine Baker River delta in the Baker-Martinez Fjord system, Chilean Patagonia (44-48⁰S). The samples were collected between January 2017 and January 2019 using a sequential sediment trap holding 24 bottles of 500 ml which were rotating every 15 days.
DOI: 10.1594/pangaea.976006
title: Organic carbon analyses of Van Veen grab samples from Baker River and Baker-Martinez Fjord

description: This dataset presents bulk organic geochemical data (TOC, d13C) obtained by EA-IRMS analysis on surface fjord sediment at the mouth of Baker River in the Baker-Martinez Fjord system, Chilean Patagonia (44-48⁰S). The samples were collected in February 2017 using a Van Veen grab sampler.
DOI: 10.1594/pangaea.988060
title: Master track of ELISABETH MANN BORGESE cruise EMB373 in 1 sec resolution (zipped, 47 MB)

description: Raw data acquired by position sensors on board RV Elisabeth Mann Borgese during expedition EMB373 were processed to receive a validated master track which can be used as reference of further expedition data. During EMB373 data from the motion reference unit exail Phins Gen.3, the Trimble SPS356 GPS receiver, the Furuno GP-170 and the Furuno GP-150 GPS receiver were used to calculate the mastertrack. Data were downloaded from DAVIS SHIP data base (https://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
DOI: 10.1594/pangaea.854769
title: Fig. 5 End member compositions of grain size analysis at Site 162-983