cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.544870
title: Estimated sea-surface paleotemperatures and communalities of sediment core GIK13519-1, eastern equatorial Atlantic (Table 3)
DOI: 10.1594/pangaea.544871
title: Estimated sea-surface paleotemperatures and communalities of sediment core GIK13521-1, eastern equatorial Atlantic (Table 3)
DOI: 10.1594/pangaea.544872
title: Estimated sea-surface paleotemperatures and communalities of sediment core GIK16415-2, eastern equatorial Atlantic (Table 3)
DOI: 10.7910/dvn/yefzs6
title: Replication Data for: Punishing Personality: Irresistible Insanity

description: An estimated eighty to eighty-five percent of criminal defendants have personality disorders. Yet American criminal law generally excludes personality disorders as a basis for a defense of insanity. This exclusion is rooted in a misunderstanding or ignorance of the contemporary scientific understanding of personality disorders—that personality disorders are trait-level dysfunctions or character failings lacking a neural basis. In recent decades, however, researchers in psychiatry and neuroscience have disproven this assumption. This Article bridges the gap between the science and the law by synthesizing relevant scientific advances in our understanding of personality disorders with the legal treatment of insanity pleas. It argues that personality disorders should not be excluded from the scope of insanity as a criminal legal category. Employing an original empirical study of 134 borderline personality disorder cases and 210 antisocial personality disorder cases spanning seven decades, this Article illustrates that such categorical exclusion is myopic, arbitrary, and inconsistent with the science. This Article recommends in particular that states adopt an approach to the insanity defense with demonstrated success in the Netherlands that assesses gradations of sanity, rather than preserving the black-and-white—sane-or-insane—status quo.
DOI: 10.1594/pangaea.847681
title: (Table 1) Air and ice temperatures during sea- and land fast-ice sampling of the SIPEX and DDU campaigns in 2007
DOI: 10.1594/pangaea.847682
title: (Table 2) Physico-chemical properties of brine collected from sackholes from land fast ice and from sea ice in East Antarctica during the SIPEX and DDU campaigns in 2007
DOI: 10.1594/pangaea.785672
title: (Table S3) Modern climate variables at the modern surface pollen sites reconstructed using modern-analogue technique and reference pollen-climate dataset

description: Reconstruction based on Table S1 (doi:10.1594/PANGAEA.785636) and Table S2 (doi:10.1594/PANGAEA.785670). The error bars are defined by the min-max climate variability amongst the 8 best modern analogues.
DOI: 10.1594/pangaea.785674
title: (Table S4) Reconstructed climate variables derived from the Lake Biwa pollen record

description: Reconstruction based on Table S1 (doi:10.1594/PANGAEA.785636) and Table S2 (doi:10.1594/PANGAEA.785670). The pollen record of Lake Biwa was published in Miyoshi et al., 1999, doi:10.1016/S0034-6667(98)00058-X.Based on a modern climate data set (New et al., 2002, doi:10.3354/cr021001) following values for climate parameters were estimated: Temperature of warmest month (WMT) = 27.22 °C; Temperature of coldest month (CMT) = 2.89 °C; Annual mean temperature (MAT) = 14.64 °C; Precipitation, Apr-Sep = 1144.52 mm; Precipitation, Oct-Mar = 683.32 mm; Annual mean precipitation = 1827.84 mm; Temperature warmth index = 108.78; Temperature coldness index = -6.78.
DOI: 10.1594/pangaea.785358
title: (Table S5) Reconstructed climate variables derived from the pollen record of sediment core YAK, Yakumo, SW Hokkaido, based on a reference dataset including 326 sites

description: Reconstructed climate variables derived from the pollen record from Yakumo peat bog (Kito and Takimoto, 1999, Supplementary table 3, doi:10.1594/PANGAEA.785340) using the modern analogue technique and reference pollen-climate dataset including 326 sites (doi:10.1594/PANGAEA.785247). Based on a modern climate data set (New et al., 2002, doi:10.3354/cr021001) following values for climate parameters were estimated: Temperature of warmest month (WMT) = 21.1 °C; Temperature of coldest month (CMT) = -3.7 °C; Annual mean temperature (MAT) = 7.9 °C; Precipitation, Apr-Sep = 670 mm; Precipitation, Oct-Mar = 582 mm; Annual mean precipitation = 1252 mm.
DOI: 10.1594/pangaea.785636
title: (Table S1) Modern climate variables of 798 modern surface pollen sampling sites

description: Dataset consists of modern climate variables of 798 modern surface pollen sampling sites estimated from a global climate dataset (New et al., 2002) using the Polygon 2.3.3 software (see Nakagawa et al., 2002, doi:10.1016/S0277-3791(02)00014-8; Software available at http://dendro.naruto-u.ac.jp/~nakagawa/).
DOI: 10.1594/pangaea.785252
title: (Table S1) Modern climate variables of 326 modern surface pollen sampling sites from northern Japan

description: Dataset consists of modern climate variables of 326 modern surface pollen sampling sites (including 248 published in Tarasov et al. (2011) and 78 compiled in this study) estimated from a global climate dataset (New et al., 2002) using the Polygon 2.3.3 software (see Nakagawa et al., 2002, doi:10.1016/S0277-3791(02)00014-8; Software available at http://dendro.naruto-u.ac.jp/~nakagawa/).
DOI: 10.1594/pangaea.785354
title: (Table S4) Reconstructed climate variables derived from the pollen record of sediment core YAK, Yakumo, SW Hokkaido, based on a reference dataset including 248 sites

description: Reconstructed climate variables derived from the pollen record from Yakumo peat bog (Kito and Takimoto, 1999, Supplementary table 3, doi:10.1594/PANGAEA.785340) using the modern analogue technique and reference pollen-climate dataset including 248 sites from Tarasov et al., 2011 (doi:10.1594/PANGAEA.785247). Based on a modern climate data set (New et al., 2002, doi:10.3354/cr021001) following values for climate parameters were estimated: Temperature of warmest month (WMT) = 21.1 °C; Temperature of coldest month (CMT) = -3.7 °C; Annual mean temperature (MAT) = 7.9 °C; Precipitation, Apr-Sep = 670 mm; Precipitation, Oct-Mar = 582 mm; Annual mean precipitation = 1252 mm.
DOI: 10.1594/pangaea.960929
title: U-Th-Pb isotope and age determinations on sample Aue3
DOI: 10.1594/pangaea.960930
title: U-Th-Pb isotope and age determinations on sample Aue4
DOI: 10.1594/pangaea.960943
title: U-Th-Pb isotope and age determinations on sample Leit6
DOI: 10.1594/pangaea.960944
title: U-Th-Pb isotope and age determinations on sample Leit8
DOI: 10.1594/pangaea.960945
title: U-Th-Pb isotope and age determinations on sample P1
DOI: 10.7910/dvn/w7s7h3
title: Replication Data for "Partisan Bias and Performance Improvement Efforts in Program Administration: Evidence from Unemployment Insurance Programs in the American States"

description: This dataset contains all of the necessary files to replication the analyses performed in "Partisan Bias and Performance Improvement Efforts in Program Administration: 
Evidence from Unemployment Insurance Programs in the American States" (Authors: George A. Krause and Ji Hyeun Hong). Conditionally Accepted for Publication in the Journal of Public Administration Research and Theory (as of 1/19/2026).
description: This database archive contains the files necessary to replicate the analysis performed in both the article and online appendix. The following file contents are included in this database archive. 

A Read Me Document (Inspect before proceeding onward); 

A Data Codebook; 

A Master Database (based on execution of data management program file that merges individual databases - see below); 

A Manuscript Database (used for statistical analysis appearing in the article, plus additional variables created and appended to the corresponding program file and database); 

Two Appendix Databases where new variables were created in the program code (Appendix B & C); and 

Four Data Files used to construct the master database when executing the data management program); 

Six Program Files (Data Management; Manuscript [including graphics code and ancillary statistics noted in the article); Appendices B, C, D, and E); and 

Six Corresponding Output Files Produced by Each of the Program Files Listed Above.
DOI: 10.1594/pangaea.960946
title: U-Th-Pb isotope and age determinations on sample S2
DOI: 10.1594/pangaea.960947
title: U-Th-Pb isotope and age determinations on sample Strieg4
DOI: 10.1594/pangaea.960948
title: U-Th-Pb isotope and age determinations on sample Strieg5
DOI: 10.1594/pangaea.983892
title: Water column profile data of oxygen, hydrogen sulfide, and nutrients from pump-CTD casts during RV SONNE cruise SO296/2

description: The water column was profiled for nutrients (nitrate, nitrite, phosphate, ammonium, silicate), gases (hydrogen sulfide, dihydrogen, oxygen), and pH during pump-CTD casts aboard the RV SONNE during cruise SO296/2. The expedition took place from January 21 to February 21, 2023, in the eastern Pacific Ocean, following a route from Talcahuano to San Vicente, Chile. Its primary aim was to investigate the transformation and degradation of organic matter, as well as the effects of water column anoxia on ecosystems, including habitat structure, food webs, and biodiversity. A key focus was also placed on the oceanographic context, particularly microturbulence. Additionally, the expedition examined how postglacial changes in atmospheric and oceanic circulation in the southeastern Pacific have influenced two contrasting fjord systems. The study further assessed the roles of eustatic sea-level rise, regional isostatic uplift, and glacier dynamics in shaping the development of these fjord environments. A pump-CTD (Strady et al., 2008) was deployed at four stations on the Chilean shelf off Concepción and at three stations in the Golfo Almirante Montt (Patagonia). Vertical profiles of temperature, salinity, turbidity, fluorescence, and conductivity were measured in situ using a Sea-Bird Electronics SBE 911plus (SN-0603) conductivity-temperature-depth (CTD) probe, a D&A OBS-3 turbidity sensor, and a WETStar fluorometer, all mounted on a Sea-Bird Electronics SBE 32 rosette. For gas, nutrient, and pH measurements, water was pumped from the CTD to the onboard laboratory via PTFE tubing. In the laboratory, the water flow was split into two continuous lines. One line was connected to an autoanalyzer for automated nutrient analysis (QuAAtro, SEAL Analytics). Prior to autoanalyzer measurements, the water passed through a syringe filter (Whatman GF-075, 0.3 μm pore size) integrated into the tubing. It was then analyzed following the protocols of Hansen & Koroleff (1999) . Measurement precision was 0.3 µM for silicate, 0.01 µM for phosphate, 0.02 µM for nitrate, 0.006 µM for nitrite, and 0.02 µM for ammonium. The other line was directed to a series of sensors integrated into flow-through cells: an optical pH and temperature sensor (PyroScience), several Unisense microelectrodes with different sensitivities for hydrogen sulfide (overall detection limit: 10 nM), a low-range Unisense dihydrogen microelectrode (detection limit: 0.3 µM), and two Unisense oxygen microelectrodes—one standard-range and one STOX (Switchable Trace OXygen) microelectrode for high-sensitivity oxygen detection (detection limit: 13 nM). Due to minimal oxygen contamination through the CTD tubing system, an overall detection limit of 79 nM for oxygen was achieved. All sensors were regularly recalibrated according to the manufacturers' instructions to ensure optimal measurement accuracy. Total sulfide concentrations were calculated from the measured pH, temperature, salinity, and hydrogen sulfide values.
DOI: 10.1594/pangaea.987411
title: Continuous thermosalinograph oceanography along RV METEOR cruise track M212

description: Underway temperature and salinity data was collected along the cruise track with two autonomous thermosalinograph (TSG) systems, each consisting of a SBE21 TSG together with a SBE38 Thermometer. Both systems worked independent from each other throughout the cruise. While temperature is taken at the water inlet in about 5 m depth, salinity is calculated within the interior TSG from conductivity and interior temperature. Temperature and salinity were validated against CTD data from 5 m depth. Finally, TSG1 was chosen for publication. For details to all processing steps see Data Processing Report.
description: Temperature was calibrated independently for both TSGs against CTD data from 5 m depth. Value added to temperature data TSG1 = -0.001234. Value added to temperature data TSG2 = -0.004627.Salinity was calibrated independently for both TSGs against CTD data from 5 m depth (tim is the time in days since Expocode of this cruise (06M320250730), i.e. since 2025-07-30T00:00:00): Value added to salinity data TSG1 = -0.000201*tim-0.00840. Value added to salinity data TSG2 = 0.000031*tim+0.02713.TSG1 was chosen for publication.
DOI: 10.1594/pangaea.987470
title: Dissolved methane concentrations, diffusive methane flux and Essential Ocean Variables (EOVs) in the German Bight in January 2024 (Sternfahrt 11)

description: In January 2024 a river flood by the Elbe and Weser resulted in very high discharge of freshwater into the German Bight. To follow this river, plume the RV Mya II cruised from Sylt and between Helgoland, Cuxhaven, Büsum. All instruments were set up in the MOSES laboratory container. Standard hydrographic parameters were determined with a pocket ferrybox running with ship's surface water supply. In addition, dissolved methane was determined continuously. We used a degassing unit which was using surface water from the ship's water supply. The gas mixture was subsequently analysed with a Greenhouse Gas Analyzer from LosGatos. Conversion to methane concentration was performed with water samples, from which the methane content was determined with gas chromatography. Atmospheric methane concentrations were obtained from the ICOS-station Helgoland. Wind speed was obtained from the ships meteorological system. The diffusive flux was calculated as outlined in the additional meta data description.
DOI: 10.1594/pangaea.987854
title: Carbon isotopic compositions of fatty acids in Melosira assemblages, and subsequently isolated unialgal cultures collected in June 2023 during the RV Kronprins Haakon cruise 2023-1 in Fram Strait

description: During the AO2023-1 expedition (1-21 June 2023), Melosira assemblages were collected using a handpump at a sampling site in Fram Strait. In addition to performing physiological measurements and filtering the material for trophic markers (fatty acids, stable isotope ratios of fatty acids, sterols and highly branched isoprenoids (HBIs), living material was brought back to Akvaplan-niva in Oslo and two strains were established as unialgal cultures. The cultures are maintained in artificial seawater-based L1 medium at 4°C and 25 µmol m-2 s-1 light with a 16:8 L:D cycle. Lipids were extracted from freeze-dried samples following the method of Folch et al. (1957), using a dichloromethane/methanol mixture (2:1, v/v) in a sonication bath. The extracted lipids were converted to fatty acid methyl esters (FAMEs) and analyzed by gas chromatography (Agilent 6890N Network GC, Agilent Technologies) equipped with a DB-FFAP capillary column (30 m length, 0.25 mm inner diameter, 0.25 μm film thickness), split injection, and a flame ionization detector. The temperature program ranged from 160°C to 240°C. Carbon stable isotope ratios δ13C were measured directly from FA extracts for selected biomarker FAs—14:0, 16:0, 16:1(n-7), and 20:5(n-3)—using a Thermo GC-c-IRMS system. This setup included a Trace GC Ultra gas chromatograph, a GC Isolink interface, and a Delta V Plus isotope ratio mass spectrometer, all connected via a Conflo IV interface (Thermo Scientific). FAMEs, dissolved in hexane, were injected in splitless mode and separated on a DB-FFAP capillary column (60 m length, 0.25 mm inner diameter, 0.25 μm film thickness). Samples were analysed in triplicates. Stable isotope analysis was conducted to complement datasets on fatty acid and sterol proportions. Collectively, the datasets enable a detailed characterization of the biochemical composition of different Melosira arctica-dominated algal assemblages from the Arctic Ocean, and a comparison with a unialgal culture of this important species.
DOI: 10.1594/pangaea.987865
title: Relative proportions of sterols in Melosira assemblages, and subsequently isolated unialgal cultures collected in June 2023 during the RV Kronprins Haakon cruise 2023-1 in Fram Strait

description: During the AO2023-1 expedition (1-21 June 2023), Melosira assemblages were collected using a handpump at a sampling site in Fram Strait. In addition to performing physiological measurements and filtering the material for trophic markers (fatty acids, stable isotope ratios of fatty acids, sterols and highly branched isoprenoids (HBIs), living material was brought back to Akvaplan-niva in Oslo and two strains were established as unialgal cultures. The cultures are maintained in artificial seawater-based L1 medium at 4°C and 25 µmol m-2 s-1 light with a 16:8 L:D cycle. Lipids were extracted from freeze-dried samples following the method of Folch et al. (1957), using a dichloromethane/methanol mixture (2:1, v/v) in a sonication bath. Thereafter, lipids were saponified with 20% potassium hydroxide in water/methanol (1:9). Sterols were extracted with hexane, purified by open-column chromatography with SiO2 and eluted with methanol. Sterol fractions were derivatized using N,O-bis(trimethylsilyl)trifluoroacetamide (BSTFA). Sterols were analyzed with gas chromatography–mass spectrometry (Agilent 7890B, Agilent Technologies), equipped with a DB-1ms column (30 m length, 0.25 mm internal diameter, 0.25 μm film thickness) and an Agilent 5977A MSD, following Stein et al. (2025). The temperature program ranged from 60°C to 320°C. Sterols were quantified using an internal standard (androstanol). Sterol analysis was conducted to complement datasets on fatty acid proportions and fatty acid stable isotope compositions. Collectively, the datasets enable a detailed characterization of the biochemical composition of different Melosira arctica-dominated algal assemblages from the Arctic Ocean, and a comparison with a unialgal culture of this important species.
DOI: 10.1594/pangaea.988412
title: Basic measurements of radiation at station Paramaribo (2025-09)
DOI: 10.15468/dl.akkchk
title: Occurrence Download

description: A dataset containing 816479 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonId is not null",
 "GbifId is not null",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2021-09-10",
 "EventDate is less than or equal to 2021-10-10",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 816479 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012837-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hegb6h
title: Occurrence Download

description: A dataset containing 10924 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Papio ursinus"
 ]
}

 The dataset includes 10924 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012846-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/kkfvpy
title: Becoming Written Constitutionalism Data

description: Concordance lines of "constitution" (with 50 words on either side) as used between 1760-1799 from COFEA database at BYU. Also the scripts used to train our AI model.
DOI: 10.7910/dvn/nke1ih
title: Youth Wing Membership Survey (YOUMEM) Dataset

description: This dataset contains the full Youth Wing Membership Survey (YOUMEM) - the largest comparative survey of political party youth wing members to date. It includes responses from over 5,000 members of 12 centre-left and centre-right youth wings in six countries (Australia, Austria, Germany, Italy, Spain and Sweden). The dataset covers members' biographies, reasons for joining the youth wing and reasons for staying in it.
DOI: 10.15468/dl.v2teyb
title: Occurrence Download

description: A dataset containing 407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macleaya microcarpa",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 407 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012850-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18065305
title: LRP2-Lite Sample Data: PacBio Long-Read Sequencing RBFOX2 RB-G5 vs. Control

description: Sample data included with Sheynkman Lab LRP2-Lite pipeline for long-read proteogenomics analysis. Includes updated SM tags to distinguish samples.
DOI: 10.5281/zenodo.18489500
title: LRP2-Lite Sample Data: PacBio Long-Read Sequencing RBFOX2 RB-G5 vs. Control

description: Sample data included with Sheynkman Lab LRP2-Lite pipeline for long-read proteogenomics analysis. Includes updated SM tags to distinguish samples.
DOI: 10.15468/dl.2ar22k
title: Occurrence Download

description: A dataset containing 2999 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aporrectodea trapezoides"
 ]
}

 The dataset includes 2999 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012853-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.va2zps
title: Occurrence Download

description: A dataset containing 21816 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aporrectodea caliginosa"
 ]
}

 The dataset includes 21816 records from 220 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012851-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v3g6jd
title: Occurrence Download

description: A dataset containing 4245 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pontoscolex corethrurus"
 ]
}

 The dataset includes 4245 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012854-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4nah5k
title: Occurrence Download

description: A dataset containing 486699 species occurrences available in GBIF matching the query:
{
 "PublishingOrg" : [
 "is afae4f45-b85e-4a0e-9d93-f30f044e8140"
 ]
}

 The dataset includes 486699 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012848-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.