cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/xdizf6
title: Phytoplankton abundance at station GS90/6_H4-1
DOI: 10.17632/wgsvzvmvs4.1
title: Data for: Impact of temporary emission reduction from a large-scale coal-fired power plant on air quality

description: air quality data air mass trajectory
DOI: 10.15468/ls2ugc
title: Assemblage of living benthic foraminifera in sediment profile PS2082-1
DOI: 10.15468/ia6yjh
title: Abundance of phytoplankton at bottle station PROSOPE_orp020
DOI: 10.15468/mylvg4
title: Phytoplankton abundance at station LT90/2_C5-2
DOI: 10.17632/8bt4ghr43j.1
title: Data for: Structural and Electrical Properties of Na2ZnSiO4 - Py14TFSI Hybrid Solid Electrolyte

description: The structural and electrical properties of NZS-Py14TFSI HSE were investigated and compared with Pristine NZS (no addition of IL) that acted as a control for this study. For characterisation purposes, the compounds were subjected to X-ray diffraction (XRD), thermogravimetric analysis (TGA), differential scanning calorimetry (DSC), field-emission scanning electron microscopy (FESEM), energy dispersive X-ray spectroscopy (EDX), Fourier transform infrared spectroscopy (FTIR) and electrical impedance spectroscopy (EIS) analysis. XRD data were refined by Rietveld method. Electrical properties were calculated by Jonscher's Power Law. Activation Energies were measured via Arrhenius plots.
DOI: 10.15468/wz2d3b
title: Phytoplankton abundance and biomass at station ML47_5198
DOI: 10.15468/7xtqy9
title: Phytoplankton abundance and biomass at station ML47_5180
DOI: 10.17632/psjph9z8gr.2
title: Data for: Linking the Online Destination Brand Experience and Brand Credibility with Tourists’ Behavioral Intentions Toward a Destination

description: Dataset used in the study 2a and 2b.
DOI: 10.3886/e118582
title: FinTech Companies: A Bibliometric Analysis

description: Bibliometric anaylsis identifies the most prolific countries and universities, and the most influential authors, studies, and journals. The data set for the study was taken from Scopus. While Web of Science was also scanned, it was excluded from the evaluation because it provided considerably fewer studies than Scopus. The financial technology industry is a fairly new concept that has become the center of attention for all sectors in recent years. This concept moves beyond the traditional financial system by combining technology with finance to design and offer new and unorthodox technological financial services in various fields. This study presents an important network analysis that provides detailed information and assessments within the scope of the FinTech concept. The study shows that FinTech studies are concentrated in four areas: computer sciences, business management, economics, and social sciences. FinTech research also focuses on financial services, financial inclusion, and financial technology, where FinTech is at the centre, and on cryptocurrency, bitcoin, and smart-contracts where blockchain is at the centre. The term FinTech, which is defined in terms of its use in the literature, has become generalized. The results provide a systematic mapping of the subject that shows the current situation while playing a pathfinder role for future research.
DOI: 10.15468/48gekb
title: Phytoplankton abundance and biomass at station ML47_5177
DOI: 10.25345/c5mx3j
title: MassIVE MSV000085209 - AP-MS analysis using Flp-In-293 cells stably expressing ARID4A with N-terminal HaloTag
title: AP-MS analysis using Flp-In-293 cells stably expressing ARID4A with N-terminal HaloTag
DOI: 10.15468/x84om6
title: Plasm bearing foraminifera counts from M36/5_MSN1154
DOI: 10.17632/bw27b93ccp.1
title: Data for: Urban drainage models for green areas: structural differences and their effects on simulated runoff

description: Seasonal and event-based mass balances for "Urban drainage models for green areas: structural differences and their effects on simulated runoff" by Ico Broekhuizen, Tone Muthanna, Günther Leonhardt, Maria Viklander. Includes mass balances (seasonal and event-based) and Jupyter Notebooks for handling this data.
DOI: 10.17632/s3rfym3mdt.1
title: Supplementary figure 1, sample location with Maximum depositional age, and Zircon U-Pb analyses : Evidence for Late Triassic crustal suturing of the Central and Southern Pamir

description: Sup Fig. 1. Calculated R2 crossplot statistical comparison values between the Lokzun Group flysch, Darbasatash Group, and Northern Pamirs’ Karakul-Mazar using Saylor and Sundell’s (2016) DZstats. An R2 crossplot value greater than 0.70±0.10 suggest that the samples are related and have a common source. Note that sample DV 8-08-16_3, which has a distinct late Proterozoic-early Paleozoic population, is associated with R2 crossplot values that lie below this range. Table 1 DR1-Sample Location and MDA contains the location and maximum depositional age for samples in the manuscript:Evidence for Late Triassic crustal suturing of the Central and Southern Pamir Table 2 DR2-Zircon U-Pb analyses contains data collected from the samples used in the manuscript: Evidence for Late Triassic crustal suturing of the Central and Southern Pamir
DOI: 10.17632/xr9cbm9m5b.1
title: Data for: The effects of Pavlovian cue extinction and ceftriaxone on cocaine relapse after abstinence

description: This data set includes all data collected to test the hypothesis that extinction of cocaine-associated cues would be additive or synergistic with the effects of ceftriaxone on reduction of cue-primed cocaine-seeking.
DOI: 10.15468/4lbmb8
title: Phytoplankton abundance measured on water bottle samples at station JM6_888
DOI: 10.15468/5r9r6r
title: Phytoplankton abundance at station AvH90/4_E12-4
DOI: 10.15468/bei1rc
title: Phytoplankton abundance at station AV90/2_F12-2
DOI: 10.15468/wdwzq0
title: Microplankton abundance in the euphotic zone at Station LIA-7-GN3619880010726702 in the Aegean Sea
DOI: 10.17632/nvf3zxv9wz.1
title: Data for: What's the norm in normalization? A frightening note on the use of RT-qPCR in the livestock science

description: Survey of &gt;200 article using RT-qPCR related to livestock science published in major journals from 2013 to 2017
DOI: 10.17632/rxxprvrjvk.1
title: Data for: Just urban futures? Exploring equity in "100 Resilient Cities"

description: This excel spreadsheet contains an original analytical framework that can be used to conduct equity-focused content analysis on urban plans. While the framework was designed with City Resilience Strategies in mind, most criteria will be applicable to a variety of urban plans, and issue-specific supplementary criteria can be added at the discretion of researchers. Additionally, this file contains the numerical results of a plan evaluation we conducted on 31 City Resilience Strategies released under the "100 Resilient Cities - Pioneered by the Rockefeller Foundation" initiative.
DOI: 10.17632/z3fs69mtff.2
title: Data for: Temporal Pass Plots: an intuitive method for visualising activity patterns of bats and other vocalising animals

description: This folder contains BatClassify results files used to create Temporal Pass Plots in the accompanying article Fig. 2 (Richmond_Myotis_BatClassify_Results.csv), Fig. 3a (Richmond_Ppyg_Site_A_BatClassify_Results.csv) and Fig. 3b (Richmond_Ppyg_Site_B_BatClassify_Results.csv). All other files are used in the TPP vignette, which is provided in the supplementary material.
DOI: 10.21227/4s7x-hp56
title: Medicine data

description: Machine learning offers a wide range of techniques to predict medicine expenditures using historical expenditures data as well as other healthcare variables. For example, researchers have developed multi-layer perceptron (MLP), long-short term memory (LSTM), and convolutional neural networks (CNN) for predicting healthcare outcomes. However, recently proposed generative approaches (e.g., generative adversarial networks; GANs) are yet to be explored for time-series prediction of medicine-related expenditures. The primary objective of this research is to develop and test a generative adversarial network model (called “variance-based GAN or V-GAN”) that specifically minimizes the difference in variance between model and actual data during model training. For our model development, we used patient expenditure data of a popular pain medication in the US. In the V-GAN model, we used an LSTM model as a generator network and a CNN model as a discriminator network. The performance of V-GAN model was compared with other GAN variants and a baseline LSTM model. Results revealed that the V-GAN model outperformed other GAN-based prediction models and the LSTM model in correctly predicting future medicine expenditures of patients. Through this research, we highlight the utility of using GAN-based architectures involving variance minimization for predicting patient-related expenditures in the healthcare domain.
DOI: 10.15468/bhkqsw
title: Assemblage of living benthic foraminifera in sediment profile PS2098-1
DOI: 10.21227/k0mm-jb74
title: Medicine data

description: Machine learning offers a wide range of techniques to predict medicine expenditures using historical expenditures data as well as other healthcare variables. For example, researchers have developed multi-layer perceptron (MLP), long-short term memory (LSTM), and convolutional neural networks (CNN) for predicting healthcare outcomes. However, recently proposed generative approaches (e.g., generative adversarial networks; GANs) are yet to be explored for time-series prediction of medicine-related expenditures. The primary objective of this research is to develop and test a generative adversarial network model (called “variance-based GAN or V-GAN”) that specifically minimizes the difference in variance between model and actual data during model training. For our model development, we used patient expenditure data of a popular pain medication in the US. In the V-GAN model, we used an LSTM model as a generator network and a CNN model as a discriminator network. The performance of V-GAN model was compared with other GAN variants and a baseline LSTM model. Results revealed that the V-GAN model outperformed other GAN-based prediction models and the LSTM model in correctly predicting future medicine expenditures of patients. Through this research, we highlight the utility of using GAN-based architectures involving variance minimization for predicting patient-related expenditures in the healthcare domain.
DOI: 10.15468/i8avfc
title: Phytoplankton abundance at station AV90/2_F11-5
DOI: 10.15468/z9omvi
title: Phytoplankton abundance at station Hydromet90/4_B1-4
DOI: 10.15468/zgk2cr
title: Phytoplankton abundance at station GMD90/12_F4-2
DOI: 10.25917/5e83f1bb29a56
title: zircon sample (Sample SB1063 / IGSN XXAB000BB) from the Neal McNaughton Legacy Collection SHRIMP mount 97-30 (IGSN XXAB000BA)
DOI: 10.15468/5lmik1
title: Assemblage of living benthic foraminifera in sediment profile PS2575-4
DOI: 10.15468/k41718
title: Phytoplankton abundance at station TB90_D8-1
DOI: 10.15468/stgjxc
title: Phytoplankton abundance at station GS90/6_H13-2
DOI: 10.25917/5e83f1c06d697
title: zircon sample (Sample J2 / IGSN XXAB000BD) from the Neal McNaughton Legacy Collection SHRIMP mount 97-33 (IGSN XXAB000BC)
DOI: 10.25917/5e83f1c583e07
title: zircon sample (Sample YEY-3 / IGSN XXAB000BF) from the Neal McNaughton Legacy Collection SHRIMP mount 97-35 (IGSN XXAB000BE)
DOI: 10.25917/5e83f1cac5d24
title: zircon sample (Sample YEY-8 / IGSN XXAB000BG) from the Neal McNaughton Legacy Collection SHRIMP mount 97-35 (IGSN XXAB000BE)
DOI: 10.25917/5e83f1cfc67d8
title: zircon sample (Sample DP-4 / IGSN XXAB000BH) from the Neal McNaughton Legacy Collection SHRIMP mount 97-35 (IGSN XXAB000BE)
DOI: 10.25917/5e83f1d4dff73
title: zircon sample (Sample DHB-7 / IGSN XXAB000BJ) from the Neal McNaughton Legacy Collection SHRIMP mount 97-36 (IGSN XXAB000BI)
DOI: 10.25917/5e83f1da44e73
title: zircon sample (Sample JCHGL-18 / IGSN XXAB000BK) from the Neal McNaughton Legacy Collection SHRIMP mount 97-36 (IGSN XXAB000BI)
DOI: 10.25917/5e83f1dfbb7f1
title: zircon sample (Sample JCHGL-6 / IGSN XXAB000BL) from the Neal McNaughton Legacy Collection SHRIMP mount 97-36 (IGSN XXAB000BI)
DOI: 10.25917/5e83f1e51932d
title: zircon sample (Sample QSHK-2 / IGSN XXAB000BN) from the Neal McNaughton Legacy Collection SHRIMP mount 97-37 (IGSN XXAB000BM)
DOI: 10.15468/6ugsa5
title: Phytoplankton abundance at station TB90_D3-2
DOI: 10.15468/ckw2yl
title: Phytoplankton abundance at station Argos90/8_G7-1
DOI: 10.25345/c5wd8r
title: MassIVE MSV000085206 - 03242020_Kd_determination_expts_continued
title: Iron titration was performed (for replicates) into mixture of commercial standards (DFE, DFB, enterobactin, rhodotorulic acid, and ferrichrome), into cheese culture (JB 182), and E coli Nissle culture. Then iron concentration was kept constant (at 5 different concentrations) while the concentration of standard mixture was increased. This will be another way to determine Kd of each compound.
DOI: 10.25917/5e83f1ea0a559
title: zircon sample (Sample GZZ-1 / IGSN XXAB000BO) from the Neal McNaughton Legacy Collection SHRIMP mount 97-37 (IGSN XXAB000BM)
DOI: 10.25917/5e83f1f42e887
title: zircon sample (Sample 9796 9125 / IGSN XXAB000BR) from the Neal McNaughton Legacy Collection SHRIMP mount 97-40 (IGSN XXAB000BQ)
DOI: 10.25917/5e83f1f927f95
title: zircon sample (Sample 9796 9090 / IGSN XXAB000BS) from the Neal McNaughton Legacy Collection SHRIMP mount 97-40 (IGSN XXAB000BQ)
DOI: 10.25917/5e83f1fdd6451
title: zircon sample (Sample 9796 9202 / IGSN XXAB000BT) from the Neal McNaughton Legacy Collection SHRIMP mount 97-40 (IGSN XXAB000BQ)
DOI: 10.25917/5e83f202ea353
title: zircon sample (Sample GF0 / IGSN XXAB000BV) from the Neal McNaughton Legacy Collection SHRIMP mount 97-42 (IGSN XXAB000BU)
DOI: 10.25917/5e83f207c36cf
title: zircon sample (Sample SP1 / IGSN XXAB000BW) from the Neal McNaughton Legacy Collection SHRIMP mount 97-42 (IGSN XXAB000BU)
DOI: 10.25917/5e83f20e26740
title: zircon sample (Sample BIT / IGSN XXAB000BX) from the Neal McNaughton Legacy Collection SHRIMP mount 97-42 (IGSN XXAB000BU)
DOI: 10.25917/5e83f213b53f5
title: zircon sample (Sample 9796 9209 / IGSN XXAB000BZ) from the Neal McNaughton Legacy Collection SHRIMP mount 97-43 (IGSN XXAB000BY)
DOI: 10.15468/rih473
title: Benthic foraminifera abundance of Hole 90-594
DOI: 10.15468/y4e8cy
title: Phytoplankton abundance measured on water bottle samples at station JM3_402
DOI: 10.15468/yicbnr
title: Phytoplankton abundance at station Oceania90_G4-3
DOI: 10.25917/5e83f2187f8b4
title: zircon sample (Sample 9796 9249 / IGSN XXAB000C0) from the Neal McNaughton Legacy Collection SHRIMP mount 97-43 (IGSN XXAB000BY)
DOI: 10.25917/5e83f21e193df
title: zircon sample (Sample 9796 7152 / IGSN XXAB000C1) from the Neal McNaughton Legacy Collection SHRIMP mount 97-43 (IGSN XXAB000BY)
DOI: 10.25917/5e83f22373d59
title: zircon sample (Sample 9796 7153 / IGSN XXAB000C3) from the Neal McNaughton Legacy Collection SHRIMP mount 97-44 (IGSN XXAB000C2)
DOI: 10.25917/5e83f22996580
title: zircon sample (Sample 9796 9212 / IGSN XXAB000C4) from the Neal McNaughton Legacy Collection SHRIMP mount 97-44 (IGSN XXAB000C2)
DOI: 10.25917/5e83f22fc953f
title: zircon sample (Sample 9796 9237 / IGSN XXAB000C5) from the Neal McNaughton Legacy Collection SHRIMP mount 97-44 (IGSN XXAB000C2)
DOI: 10.25917/5e83f2349acc8
title: zircon sample (Sample 9796 9138 / IGSN XXAB000C7) from the Neal McNaughton Legacy Collection SHRIMP mount 97-48 (IGSN XXAB000C6)
DOI: 10.25917/5e83f23a067ac
title: zircon sample (Sample 9796 9245 / IGSN XXAB000C9) from the Neal McNaughton Legacy Collection SHRIMP mount 97-49 (IGSN XXAB000C8)
DOI: 10.25917/5e83f23ef204d
title: zircon sample (Sample BF6 / IGSN XXAB000CA) from the Neal McNaughton Legacy Collection SHRIMP mount 97-49 (IGSN XXAB000C8)
DOI: 10.5281/zenodo.3735378
title: Database of global dam detections

description: GPKG package of detected global dams from global imagery.
DOI: 10.5281/zenodo.3735379
title: Database of global dam detections

description: GPKG package of detected global dams from global imagery.
DOI: 10.15468/rk5yj7
title: Phytoplankton abundance at station TB90_D10-1
DOI: 10.15468/vipznk
title: Phytoplankton abundance at station PSied90/1_H10-5
DOI: 10.25917/5e83f244296f5
title: zircon sample (Sample U931/1 / IGSN XXAB000CC) from the Neal McNaughton Legacy Collection SHRIMP mount 98-01 (IGSN XXAB000CB)
DOI: 10.25917/5e83f24a05066
title: zircon sample (Sample U930/1 / IGSN XXAB000CD) from the Neal McNaughton Legacy Collection SHRIMP mount 98-01 (IGSN XXAB000CB)
DOI: 10.25917/5e83f24f8b176
title: zircon sample (Sample U922/1 / IGSN XXAB000CE) from the Neal McNaughton Legacy Collection SHRIMP mount 98-01 (IGSN XXAB000CB)
DOI: 10.25917/5e83f25450d9c
title: zircon sample (Sample U928/1 / IGSN XXAB000CG) from the Neal McNaughton Legacy Collection SHRIMP mount 98-02 (IGSN XXAB000CF)
DOI: 10.25917/5e83f2597edbd
title: zircon sample (Sample U929/1 / IGSN XXAB000CH) from the Neal McNaughton Legacy Collection SHRIMP mount 98-02 (IGSN XXAB000CF)
DOI: 10.25917/5e83f25e53c3f
title: zircon sample (Sample 9796 9243 / IGSN XXAB000CI) from the Neal McNaughton Legacy Collection SHRIMP mount 98-02 (IGSN XXAB000CF)
DOI: 10.25917/5e83f2631ed64
title: zircon sample (Sample 9796 9223 / IGSN XXAB000CK) from the Neal McNaughton Legacy Collection SHRIMP mount 98-03 (IGSN XXAB000CJ)
DOI: 10.25917/5e83f26817ad6
title: zircon sample (Sample U933/1 / IGSN XXAB000CL) from the Neal McNaughton Legacy Collection SHRIMP mount 98-03 (IGSN XXAB000CJ)
DOI: 10.25917/5e83f26cb4013
title: zircon sample (Sample JCHGL-8 / IGSN XXAB000CN) from the Neal McNaughton Legacy Collection SHRIMP mount 98-04 (IGSN XXAB000CM)
DOI: 10.15468/l3pe46
title: Characteristics of living benthic foraminifera assemblage in sediment profile PS2093-1
DOI: 10.15468/oe30lh
title: Phytoplankton abundance at station GMD90/18_F1-2
DOI: 10.15468/pqbben
title: Total foraminifera counts of multinet M36/5_MSN1172
DOI: 10.15468/xtcqx0
title: Phytoplankton abundance and biomass at station ML47_4987
DOI: 10.15468/yvg2z0
title: Phytoplankton abundance at station Argos90/8_G2-1
DOI: 10.25917/5e83f2716d381
title: zircon sample (Sample BZHZ-4 / IGSN XXAB000CO) from the Neal McNaughton Legacy Collection SHRIMP mount 98-04 (IGSN XXAB000CM)
DOI: 10.25917/5e83f2760ab88
title: zircon sample (Sample NXSH-2 / IGSN XXAB000CP) from the Neal McNaughton Legacy Collection SHRIMP mount 98-04 (IGSN XXAB000CM)
DOI: 10.25917/5e83f27aa76af
title: zircon sample (Sample 9796 9256B / IGSN XXAB000CR) from the Neal McNaughton Legacy Collection SHRIMP mount 98-05 (IGSN XXAB000CQ)
DOI: 10.25917/5e83f27f56976
title: zircon sample (Sample HDMG-11 / IGSN XXAB000CS) from the Neal McNaughton Legacy Collection SHRIMP mount 98-05 (IGSN XXAB000CQ)
DOI: 10.25917/5e83f283ea2ba
title: zircon sample (Sample HG-1 / IGSN XXAB000CT) from the Neal McNaughton Legacy Collection SHRIMP mount 98-05 (IGSN XXAB000CQ)
DOI: 10.25917/5e83f288a5176
title: zircon sample (Sample EDG-3 / IGSN XXAB000CV) from the Neal McNaughton Legacy Collection SHRIMP mount 98-06 (IGSN XXAB000CU)
DOI: 10.25917/5e83f28d5443a
title: zircon sample (Sample PSHL-4 / IGSN XXAB000CW) from the Neal McNaughton Legacy Collection SHRIMP mount 98-06 (IGSN XXAB000CU)
DOI: 10.25917/5e83f292065ec
title: zircon sample (Sample EDG-7 / IGSN XXAB000CX) from the Neal McNaughton Legacy Collection SHRIMP mount 98-06 (IGSN XXAB000CU)
DOI: 10.25917/5e83f296b5c54
title: zircon sample (Sample 294826/6 / IGSN XXAB000CZ) from the Neal McNaughton Legacy Collection SHRIMP mount 98-08 (IGSN XXAB000CY)
DOI: 10.15468/2057gu
title: Phytoplankton abundance at station Hydromet90/4_B5-4
DOI: 10.15468/49s285
title: Assemblage of living benthic foraminifera in sediment profile PS1765-1
DOI: 10.15468/earhsp
title: Phytoplankton abundance at station Argos90/8_G5-5
DOI: 10.15468/h3g84o
title: Phytoplankton abundance at station AvH90/4_C6-3
DOI: 10.15468/wbly70
title: Benthic foraminifera abundance of Hole 93-605
DOI: 10.25917/5e83f29b7bb16
title: zircon sample (Sample B690369 / IGSN XXAB000D0) from the Neal McNaughton Legacy Collection SHRIMP mount 98-08 (IGSN XXAB000CY)
DOI: 10.25917/5e83f2a01b405
title: zircon sample (Sample Boolaloo Gr. / IGSN XXAB000D2) from the Neal McNaughton Legacy Collection SHRIMP mount 98-09 (IGSN XXAB000D1)
DOI: 10.25917/5e83f2a4db0f9
title: zircon sample (Sample GS 63-3 / IGSN XXAB000D4) from the Neal McNaughton Legacy Collection SHRIMP mount 98-10 (IGSN XXAB000D3)
DOI: 10.25917/5e83f2a99a676
title: zircon sample (Sample GS 63-7 / IGSN XXAB000D5) from the Neal McNaughton Legacy Collection SHRIMP mount 98-10 (IGSN XXAB000D3)
DOI: 10.25917/5e83f2ae5b8cd
title: zircon sample (Sample E203 / IGSN XXAB000D7) from the Neal McNaughton Legacy Collection SHRIMP mount 98-100 (IGSN XXAB000D6)
DOI: 10.25917/5e83f2b2eac8c
title: zircon sample (Sample E208 / IGSN XXAB000D8) from the Neal McNaughton Legacy Collection SHRIMP mount 98-100 (IGSN XXAB000D6)
DOI: 10.25917/5e83f2b790f31
title: zircon sample (Sample E201 zr / IGSN XXAB000D9) from the Neal McNaughton Legacy Collection SHRIMP mount 98-100 (IGSN XXAB000D6)
DOI: 10.25917/5e83f2bc31895
title: titanite sample (Sample E201 tnt / IGSN XXAB000DA) from the Neal McNaughton Legacy Collection SHRIMP mount 98-100 (IGSN XXAB000D6)
DOI: 10.25917/5e83f2c0daaae
title: zircon sample (Sample U961/1 / IGSN XXAB000DC) from the Neal McNaughton Legacy Collection SHRIMP mount 98-101 (IGSN XXAB000DB)
DOI: 10.7910/cgkyqxysxg/2mcyly
title: mazedata1.tab

description: Data file
DOI: 10.7910/cgkyqxysxg/pstrrf
title: mazedata1.dta

description: Data file, Stata format
DOI: 10.7910/cgkyqxysxg/usaknq
title: PersistentEffects.pdf

description: Original article for this study
DOI: 10.7910/cgkyqxysxg/wryojz
title: ConsequencesSocialIdentity.pdf

description: Related publication
DOI: 10.15468/0h9f73
title: Characteristics of living benthic foraminifera assemblage in sediment profile PS2094-1
DOI: 10.15468/ccv0fh
title: Microplankton abundance in the euphotic zone at Station LIA-8-GN3619880010825702 in the Aegean Sea
DOI: 10.25917/5e83f2c588a80
title: zircon sample (Sample U955/1 / IGSN XXAB000DD) from the Neal McNaughton Legacy Collection SHRIMP mount 98-101 (IGSN XXAB000DB)
DOI: 10.25917/5e83f2ca3bc07
title: baddeleyite?, zircon sample (Sample U911/1A / IGSN XXAB000DE) from the Neal McNaughton Legacy Collection SHRIMP mount 98-101 (IGSN XXAB000DB)
DOI: 10.25917/5e83f2cee1f05
title: zircon sample (Sample UAED-150A / IGSN XXAB000DG) from the Neal McNaughton Legacy Collection SHRIMP mount 98-102 (IGSN XXAB000DF)
DOI: 10.25917/5e83f2d3aca62
title: zircon sample (Sample Monte Santo Qtz / IGSN XXAB000DH) from the Neal McNaughton Legacy Collection SHRIMP mount 98-102 (IGSN XXAB000DF)
DOI: 10.25917/5e83f2d849a18
title: zircon sample (Sample GS 63-1 / IGSN XXAB000DJ) from the Neal McNaughton Legacy Collection SHRIMP mount 98-11 (IGSN XXAB000DI)
DOI: 10.25917/5e83f2dd52ad4
title: zircon sample (Sample GS 63-6 / IGSN XXAB000DK) from the Neal McNaughton Legacy Collection SHRIMP mount 98-11 (IGSN XXAB000DI)
DOI: 10.25917/5e83f2e1f1de7
title: zircon sample (Sample GS 63-4 / IGSN XXAB000DL) from the Neal McNaughton Legacy Collection SHRIMP mount 98-11 (IGSN XXAB000DI)
DOI: 10.25917/5e83f2e6ac427
title: zircon sample (Sample 9796 9248 / IGSN XXAB000DN) from the Neal McNaughton Legacy Collection SHRIMP mount 98-12 (IGSN XXAB000DM)
DOI: 10.7910/cgkyqxysxg/ziqihi
title: variable_definition Hoff Social.pdf

description: Variable information
DOI: 10.15468/rg6k14
title: Phytoplankton abundance at station Argos90/8_G10-4
DOI: 10.15468/udkkka
title: Phytoplankton abundance at station Argos91/5_E8-2
DOI: 10.25917/5e83f2eb4a546
title: zircon sample (Sample 9796 9201 / IGSN XXAB000DO) from the Neal McNaughton Legacy Collection SHRIMP mount 98-12 (IGSN XXAB000DM)
DOI: 10.25917/5e83f2efec560
title: zircon sample (Sample 9796 7150 / IGSN XXAB000DP) from the Neal McNaughton Legacy Collection SHRIMP mount 98-12 (IGSN XXAB000DM)
DOI: 10.25917/5e83f2f4a5350
title: xenotime sample (Sample Xt-A / IGSN XXAB000DR) from the Neal McNaughton Legacy Collection SHRIMP mount 98-13 (IGSN XXAB000DQ)
DOI: 10.25917/5e83f2f95a7f8
title: xenotime sample (Sample Xt-B / IGSN XXAB000DS) from the Neal McNaughton Legacy Collection SHRIMP mount 98-13 (IGSN XXAB000DQ)