cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.j00001.01759
title: A multi-timescale daily drought dataset over Qinghai-Tibet Plateau from 1981 to 2022
title: 1981-2022年青藏高原多时间尺度逐日干旱数据集

description: Based on reanalysis meteorological data, this study developed a daily time-series dataset of the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI) for the Qinghai-Tibet Plateau spanning 1981 to 2022. The dataset covers four timescales of 30, 90, 180, and 360 days, with a spatial resolution of 0.1° × 0.1°. The dataset consists of 8 files in total and are named in the format “TP-DroughtIndex-DD.nc”, where DroughtIndex refers to either SPI or SPEI, and DD denotes the accumulation timescale (30, 90, 180, or 360 days).Validation results demonstrate that the dataset is highly accurate and effectively reflects the occurrence, duration, and intensity characteristics of drought events across different timescales. This dataset is in NetCDF file format and can be read, displayed, viewed, and statistically analyzed using software such as MATLAB, Python, R, and QGIS. 
description: Based on reanalysis meteorological data, this study developed a daily time-series dataset of the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI) for the Qinghai-Tibet Plateau spanning 1981 to 2022. The dataset covers four timescales of 30, 90, 180, and 360 days, with a spatial resolution of 0.1° × 0.1°. The dataset consists of 8 files in total and are named in the format “TP-DroughtIndex-DD.nc”, where DroughtIndex refers to either SPI or SPEI, and DD denotes the accumulation timescale (30, 90, 180, or 360 days).Validation results demonstrate that the dataset is highly accurate and effectively reflects the occurrence, duration, and intensity characteristics of drought events across different timescales. This dataset is in NetCDF file format and can be read, displayed, viewed, and statistically analyzed using software such as MATLAB, Python, R, and QGIS.
DOI: 10.3535/htz-g0e-4km
title: Viola reichenbachiana Jord. ex Boreau x Viola rupestris F. W. Schmidt

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/367-055-74z
title: Viola reichenbachiana Jord. ex Boreau x Viola rupestris F. W. Schmidt

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/a7v-h9c-9m2
title: Viola reichenbachiana Jord. ex Boreau x Viola rupestris F. W. Schmidt

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0v5-cmy-av9
title: Viola reichenbachiana Jord. ex Boreau x Viola riviniana Rchb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1cp-b4l-q6r
title: Viola reichenbachiana Jord. ex Boreau x Viola riviniana Rchb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qmd-1vh-xxa
title: Viola reichenbachiana Jord. ex Boreau x Viola rupestris F. W. Schmidt

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/thr-ajp-wsw
title: Viola reichenbachiana Jord. ex Boreau x Viola rupestris F. W. Schmidt

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rkl-lm5-jad
title: Viola reichenbachiana Jord. ex Boreau x Viola riviniana Rchb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/y89-53x-cdx
title: Viola reichenbachiana Jord. ex Boreau x Viola riviniana Rchb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ksb-ej7-6wy
title: Viola reichenbachiana Jord. ex Boreau x Viola rupestris F. W. Schmidt

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.7p5zt6
title: Occurrence Download

description: A dataset containing 40238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Melastomataceae"
 ]
}

 The dataset includes 40238 records from 204 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000445-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jj7dkb
title: Occurrence Download

description: A dataset containing 16703 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phalaris canariensis"
 ]
}

 The dataset includes 16703 records from 548 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000447-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.945944
title: Pollen-derived vegetation reconstruction at IODP Site 353-U1446, Bay of Bengal
DOI: 10.1594/pangaea.946371
title: Raw pollen counts from IODP Site 353-U1446, Bay of Bengal
DOI: 10.3535/xh7-2fw-m8f
title: Persicaria maculosa Gray

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tfa-dzw-gef
title: Persicaria maculosa Gray

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xlg-p4c-qbv
title: Persicaria maculosa Gray

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.1594/pangaea.982938
title: Radiocarbon ages and sedimentation rates for sediment cores during Maria S. Merian cruise MSM96 from the Northeast Atlantic

description: Samples were collected during cruise MSM96 in 2020. Sediment samples were washed through a 63 µm sieve and the forams in the &gt; 63 µm fraction were picked. 14C ages were determined on planktonic foraminifera picked from sediment samples below the bioturbation depth (8 cm). For PAP, the species Globigerina bulloides were selected and for IAP the species Orbulina universa. Samples were analyzed by Accelerator Mass Spectrometry (AMS) at the Leibniz Laboratory, Kiel University. The conventional ¹⁴C age (radiocarbon age) was calculated according to (Stuiver & Polach, 1977). Conversion of radiocarbon ages to calendar years was performed using the Calib software (http://calib.org/calib/calib.html) (version 8.20) (Stuiver and Reimer, 1993) and the Marine20 dataset (Heaton et al., 2020). A marine reservoir effect of 380 ± 60 years was used for the region (Tisnérat-Laborde et al., 2010). The depth-age relationship was then used to determine sedimentation rates, assuming constant sedimentation.
DOI: 10.1594/pangaea.981263
title: Neodymium isotope compositions of authigenic and detrital sedimentary phases from sediment cores during Maria S. Merian cruise MSM96

description: The Neodymium (Nd) isotopic signature (εNd) has been widely used as a proxy to reconstruct past ocean circulation. Recently it has been increasingly questioned which archives can be reliably used to extract authigenic εNd used for the reconstruction of past ocean circulation and under which environmental conditions bottom seawater εNd are altered and the original water mass signature is overprinted. This dataset contains Nd isotope compositions of authigenic and detrital sedimentary phases from the abyssal Atlantic Ocean, focusing on the behavior of the Nd isotope composition in oxic deep-sea sediments during early diagenesis.Samples were collected during cruise MSM96 in 2020 using multicorers. Authigenic phases were extracted through a 10s leaching procedure using 0.005 M hydroxylammonium hydrochloride, 1.5% acetic acid, and 0.03 M Na-EDTA buffered to ca. pH 4 with NaOH solution (Huang et al., 2021). For selected samples, data is also provided for a "strong" leach using 0.05 M hydroxylammonium hydrochloride, 15% acetic acid and 0.03 M Na-EDTA buffered to ca. pH 4 with NaOH, that followed after a decarbonation step. The leftover detrital sediment fraction was processed using alkaline fusion. Neodymium was purified using first BIORAD AG50W-X12 resin, followed by Eichchrom Ln-spec resin. Samples were measured by MC-ICP-MS
DOI: 10.1594/pangaea.981264
title: Neodymium isotope compositions of authigenic and detrital sedimentary phases from sediment cores during SONNE cruise SO268/1 and SO268/2

description: he Neodymium (Nd) isotopic signature (εNd) has been widely used as a proxy to reconstruct past ocean circulation. Recently it has been increasingly questioned which archives can be reliably used to extract authigenic εNd used for the reconstruction of past ocean circulation and under which environmental conditions bottom seawater εNd are altered and the original water mass signature is overprinted. This dataset contains Nd isotope compositions of authigenic and detrital sedimentary phases from the abyssal Pacific Ocean, focusing on the behavior of the Nd isotope composition in oxic deep-sea sediments during early diagenesis.Samples were collected during cruise SO268 in 2019 using multicorers. Authigenic phases were extracted through a 10s leaching procedure using 0.005 M hydroxylammonium hydrochloride, 1.5% acetic acid, and 0.03 M Na-EDTA buffered to ca. pH 4 with NaOH solution (Huang et al., 2021). The detrital sediment fraction was processed using alkaline fusion. Neodymium was purified using first BIORAD AG50W-X12 resin, followed by Eichchrom Ln-spec resin. Samples were measured by MC-ICP-MS
DOI: 10.1594/pangaea.982627
title: Porosity of sediment cores from the Northeast Atlantic (MSM96)

description: Samples were collected during cruise MSM96 in 2020. Porosity was determined from the water loss after freeze-drying assuming a seawater density of 1.023 g cm-3 and a particle density of 2.5 g cm-3.Cores were sampled to assess heterogeneity of deep-sea sediments in the Northeast Atlantic. Porosity was used for calculations of benthic fluxes of nutrients and trace metals.
DOI: 10.3535/6vg-g7y-6rp
title: Viola collina Besser x Viola hirta L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rkf-ktl-qa1
title: Scorzonera laciniata L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.1594/pangaea.981266
title: Neodymium isotope compositions of pore waters from the Atlantic and Pacific Oceans

description: The Neodymium (Nd) isotopic signature (εNd) has been widely used as a proxy to reconstruct past ocean circulation. Recently it has been increasingly questioned which archives can be reliably used to extract authigenic εNd used for the reconstruction of past ocean circulation and under which environmental conditions bottom seawater εNd are altered and the original water mass signature is overprinted. Pore waters of marine sediments are the key environment in which early diagenetic exchange processes between seawater-derived Nd and terrigenous solid phases take place. This dataset contains Nd isotope compositions of pore water from the abyssal Atlantic and Pacific Oceans, focusing on the behavior of the Nd isotope composition in oxic deep-sea sediments during early diagenesis.Samples for the Atlantic were collected during cruise MSM96 in 2020 and for the Pacific during cruises SO239 in 2015, SO240 in 2015, and SO268 in 2019. Pore waters were sampled from MUC liners and several liners were pooled to acquire sufficient volume for isotope analyses. Samples for the Pacific were additionally pooled in the lab to combine several depths and/or nearby stations. Sediments were centrifuged and the supernatant (i.e., the pore water) and the MUC bottom water were filtered through 0.2 µm pore size by different techniques (polyethersylfone syringe filters, cellulose acetate syringe filters, cellulose acetate membrane filters using a water jet pump, nuclepore membrane filters using gas pressure). Additionally, we deployed passive samplers (diffusive gradients in thin film: DGTs) with chelex membranes from DGT Research in MUC liners to sample the pore waters. The different methods lead to different results and based on the comparison and an evaluation of rare earth element concentration data, syringe filtered samples as well as membrane filtered samples not using gas pressure were deemed most reliable. Pore water and seawater was preserved by acidification to ~ pH 1.8 with concentrated ultrapure HCl.Neodymium was purified using first BIORAD AG50W-X8 resin, followed by Eichrom Ln-spec resin. Samples were measured by MC-ICP-MS.
DOI: 10.1594/pangaea.982620
title: Bulk solid phase aluminum, calcium, iron and manganese concentrations from the Northeast Atlantic (MSM96)

description: Samples were collected during cruise MSM96 in 2020 to assess heterogeneity of deep-sea sediments in the Northeast Atlantic. Samples were freeze-dried. Bulk solid phase Al, Ca, Fe, and Mn concentrations were determined by ICP-OES following digestion in nitric acid, hydrofluoric acid and perchloric acid. CaCO3 was calculated by multiplying the Ca concentration by the factor arising from the ratio of the molar mass of CaCO3 and Ca (2.5).
DOI: 10.1594/pangaea.982623
title: Dissolved rare earth element and yttrium concentrations in bottom seawater from the Pacific

description: The Neodymium (Nd) isotopic signature (εNd) has been widely used as a proxy to reconstruct past ocean circulation. Recently it has been increasingly questioned which archives can be reliably used to extract authigenic εNd used for the reconstruction of past ocean circulation and under which environmental conditions bottom seawater εNd are altered and the original water mass signature is overprinted. Pore waters of marine sediments are the key environment in which early diagenetic exchange processes between seawater-derived Nd and terrigenous solid phases take place. This dataset contains dissolved rare earth element and yttrium (REY) concentrations of bottom seawater from the abyssal Pacific Ocean.Samples were collected during cruises SO268 in 2019 and SO295 in 2022. Seawater samples were taken with NISKIN or GoFlo bottles attached to a CTD water sampling carousel or a bottom water sampler. Seawater was preserved by acidification to ~ pH 1.8 with concentrated ultrapure HCl.REY were preconcentrated offline using a seaFAST (Elemental Scientific Inc., Nebraska, USA) with a 10 mL sample loop and using a NOBIAS PA-1 resin column. Samples were spiked with 100 ppt Tm and In to monitor yields and all REY were Tm corrected at the end of the data evaluation. Correction was usually within 5-15%. Preconcentrated samples were measured on a Thermo Fisher Element HR-ICP-MS (GEOMAR, Kiel) coupled to a CETAC Aridus 2 desolvating nebulizer for increased sensitivity and decreased oxide formation.
DOI: 10.1594/pangaea.982625
title: Rare earth element and yttrium concentrations in leach fractions of sediment cores from the Atlantic (MSM96) and Pacific (SO268)

description: The Neodymium (Nd) isotopic signature (εNd) has been widely used as a proxy to reconstruct past ocean circulation. Recently it has been increasingly questioned which archives can be reliably used to extract authigenic εNd used for the reconstruction of past ocean circulation and under which environmental conditions bottom seawater εNd are altered and the original water mass signature is overprinted. This dataset contains rare earth element and yttrium (REY) concentrations of authigenic, carbonate, stable Mn and Fe, and detrital sedimentary phases from the abyssal Atlantic and Pacific Oceans, focusing on the distribution of REY in different sedimentary phases in oxic deep-sea sediments. Samples for the Atlantic were collected during cruise MSM96 in 2020 and for the Pacific during cruise SO268 in 2019 using multicorers. Authigenic phases were extracted through a 10s leaching procedure using 0.005 M hydroxylammonium hydrochloride, 1.5% acetic acid, and 0.03 M Na-EDTA buffered to pH 4 with NaOH solution (Huang et al., 2021). The carbonate fraction was leached with 40% acetic acid buffered to pH 4 using Na acetate. Stable Mn and Fe phases were extracted using a "strong" leach using 0.05 M hydroxylammonium hydrochloride, 15% acetic acid and 0.03 M Na-EDTA buffered to pH 4 with NaOH solution. The leftover detrital sediment fraction was processed using alkaline fusion.Samples were analyzed using a quadrupole ICP-MS Agilent Technologies 7500 Series (GEOMAR, Kiel). Europium data for the detrital fraction were corrected for Ba oxide interferences. The oxide yield was 0.08%.
DOI: 10.57702/ega3cp56
title: Grammar VAE

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a pool of unlabeled data to construct the latent space.
DOI: 10.13145/bacdive167183.20250331.9.3
title: Yersinia alsatica Le Guern et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167183.20251217.10
title: Yersinia alsatica Le Guern et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.48597/vnhn-5hh3
title: Measurement of Aerosol_optical_depth at Abashiri

description: Measurement of Aerosol_optical_depth at Abashiri
DOI: 10.57702/d2cvn807
title: GSE103322

description: GSE103322 dataset, a tumor cell dataset consisting of 5902 cells derived from 19 patients with oral cavity head and neck squamous cell carcinoma
DOI: 10.13145/bacdive167184.20250331.9.3
title: Rahnella contaminans Jeon et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167184.20251217.10
title: Rahnella contaminans Jeon et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.48597/h8cv-7uew
title: Measurement of Aerosol_optical_depth at Abashiri

description: Measurement of Aerosol_optical_depth at Abashiri
DOI: 10.57702/ao1szu2v
title: MIT Scene Parsing Dataset

description: The MIT scene parsing dataset used for training the FCN network.
DOI: 10.13145/bacdive167185.20240510.9
title: Eionea flava Baek et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167185.20251217.10
title: Eionea flava Baek et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167186.20250331.9.3
title: Halomonas niordiana Diéguez et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/ftvlt9hs
title: AIMS Infant Pose Dataset

description: A new infant pose dataset with both synthetic and real-world images with fine-level annotation labels, that allow us to evaluate the cross-dataset generalization ability of the model.
DOI: 10.13145/bacdive167186.20251217.10
title: Halomonas niordiana Diéguez et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167187.20250331.9.3
title: Ornithinimicrobium pratense Guo et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/g8q3akgx
title: BIGBIRD and KIT datasets

description: The dataset used for training and testing the FFHFlow-lvm model for generative grasp synthesis.
DOI: 10.13145/bacdive167187.20251217.10
title: Ornithinimicrobium pratense Guo et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/atyhefth
title: Multi-server Multi-access Edge Vehicular Network Scenario

description: The dataset used in the paper is a multi-server multi-access edge vehicular network scenario, where the terminal device (e.g., the blue vehicle) within the overlapped area needs to choose the optimal offloading strategy.
DOI: 10.13145/bacdive167188.20250331.9.3
title: Leptospira langatensis Vincent et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167188.20251217.10
title: Leptospira langatensis Vincent et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/dx5t2axm
title: Occluded Video Instance Segmentation

description: Occluded video instance segmentation requires consistently segmenting and tracking objects over time. Due to the quadratic dependency on input size, directly applying self-attention to occluded video instance segmentation with high-resolution input features poses significant challenges, often leading to insufficient GPU memory capacity.
DOI: 10.13145/bacdive167189.20250331.9.3
title: Yersinia vastinensis Le Guern et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167189.20251217.10
title: Yersinia vastinensis Le Guern et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/1xy6dm0h
title: Occlusal Measurement Methods and Techniques

description: Occlusal measurement methods and techniques dataset
DOI: 10.13145/bacdive167190.20240510.9
title: Leptospira harrisiae Thibeaux et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167190.20251217.10
title: Leptospira harrisiae Thibeaux et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/f0xgnwiu
title: APIBench

description: APIBench is a comprehensive benchmark for tool-augmented LLMs, focusing on API calling, retrieving, and planning abilities.
DOI: 10.13145/bacdive167191.20250331.9.3
title: Actinomadura rubteroloni Benndorf et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167191.20251217.10
title: Actinomadura rubteroloni Benndorf et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167192.20250331.9.3
title: Flavobacterium ichthyis Chen et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167192.20251217.10
title: Flavobacterium ichthyis Chen et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive167193.20250331.9.3
title: Yersinia thracica Le Guern et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/7insz9iy
title: SARD dataset

description: The SARD dataset contains synthetic PHP code samples that include both safe and unsafe samples for various types of vulnerabilities such as XSS, SQLi, and OSCI.