cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.930422
title: Continental temperature seasonality from Eocene Warmhouse to Oligocene Coolhouse

description: This dataset combines model outputs from five experiments which aim at reconstructing the middle Eocene to early Oligocene greenhouse-icehouse transition (Toumoulin et al., 2021, Clim. Past).Simulations are characterized by a 40 Ma paleogeography (Poblete et al., 2021, Earth-Sci. Rev.), different pCO2 (1120, 840, 560 ppm), and an antarctic ice-sheet or not. When present, antarctic ice-sheet is represented alone or associated with a sea-level decrease of -70 m, which is applied homogeneously to the 40 Ma paleogeography map. All experiments were performed with the general circulation model IPSL-CM5A2 (Sepulchre et al., 2020, Geosci. Model Dev.) and ran for 4000 years to a quasi-equilibrium state (change in deep ocean temperature &lt; 0.1°C/century). Data are monthly averages over the last 100 years.
description: Contact: mailto:agathe.toumoulin@gmail.com mailto:donnadieu@cerege.fr
DOI: 10.1594/pangaea.941483
title: Triple isotopic composition of atmospheric oxygen (Δ17O of O2) over 58.0-150.0, 233.2-238.1, and 445.6-796.3 ka from EPICA Dome C ice core

description: Here we present the triple isotopic composition of atmospheric oxygen (Δ17O of O2) measured from EPICA Dome C (EDC) ice core, Antarctica, over 58.0-150.0, 233.2-238.1, and 445.6-796.3 ka, in order to reconstruct the past global biosphere productivity (Luz et al., 1999). The data were produced between Feb. 2019 and Oct. 2020 at Laboratoire des Sciences du Climat et de l'Environnement (LSCE), Gif-sur-Yvette, France. The air samples trapped in EDC ice cores were extracted and purified by a semi-automated system of LSCE, following the identical principles of Barkan and Luz (2005).
DOI: 10.1594/pangaea.963670
title: Benthic foraminifera accumulation rates from IODP Hole 371-U1506A
DOI: 10.5061/dryad.vmcvdncr2
title: AFLP and geometric morphometrics for Littorina fabalis

description: Low dispersal marine intertidal species facing strong divergent selective
 pressures associated with steep environmental gradients have a great
 potential to inform us about local adaptation and reproductive isolation.
 Among these, gastropods of the genus Littorina offer a unique system to
 study parallel phenotypic divergence resulting from adaptation to
 different habitats related with wave exposure. In this study, we focused
 on two Littorina fabalis ecotypes from Northern European shores and
 compared the patterns of habitat-related phenotypic and genetic divergence
 across three different geographic levels (local, regional and global).
 Geometric morphometric analyses revealed that individuals from habitats
 moderately exposed to waves usually present a larger shell size with a
 wider aperture than those from sheltered habitats. The phenotypic
 clustering of L. fabalis by habitat across most locations (mainly in terms
 of shell size) support an important role of ecology in morphological
 divergence. A genome scan based on amplified fragment length polymorphisms
 (AFLPs) revealed a heterogeneous pattern of differentiation across the
 genome between populations from the two different habitats, suggesting
 ecotype divergence in the presence of gene flow. The contrasting patterns
 of genetic structure between nonoutlier and outlier loci, and the
 decreased sharing of outlier loci with geographic distance among locations
 are compatible with parallel evolution of phenotypic divergence, with an
 important contribution of gene flow and/or ancestral variation. In
 the future, model-based inference studies based on sequence data
 across the entire genome will help unravelling these evolutionary
 hypotheses, improving our knowledge about adaptation and its influence on
 diversification within the marine realm.
description: Samples of the marine snail <em>Littorina
 fabalis</em> were collected in several locations of the North
 Atlantic shores, including UK, Sweden and Norway. The shell shape was
 analysed by geometric morphometrics methods. Then DNA was extracted from
 the snails and these samples were genotyped with AFLP (Amplified Fragment
 Length Polymorphism) markers. These methodologies are
 clearly described in the publication: Galindo, J.,
 Carvalho, J., Sotelo, G., Duvetorp, M., Costa, D., Kemppainen, P., Panova,
 M., Kaliontzopoulou, A., Johannesson, K. and Faria, R. (2020), Genetic and
 morphological divergence between <i>Littorina
 fabalis</i> ecotypes in Northern Europe. Journal of Evolutionary
 Biology. Accepted Author Manuscript. doi:10.1111/jeb.13705
description: The datasets uploaded for the publication are explained in the
 ReadMe file.
DOI: 10.1594/pangaea.960585
title: Benthic foraminiferal census counts from sediment core MD03-2611 (South Australian margin, AUSCAN cruise)

description: The data presents benthic foraminiferal census counts from gravity core MD03-2611. The 11.97 m long core MD03-2611 was collected during the AUSCAN cruise in 2003 on-board the research vessel Marion Dufresne II (Hill and De Deckker, 2004). It was retrieved from a small plateau south of Kangaroo Island at 2420 m depth (36°43.80'S, 136°32.90'E) facing the mouth of the Murray River. The datasets cover the last 94 ka and have been used to understand how deep-sea benthic environments respond to changes occurring within surface waters and on land.
DOI: 10.1594/pangaea.967619
title: Multibeam bathymetry processed data (Atlas Hydrosweep DS 3 echo sounder entire dataset) of RV POLARSTERN during cruise PS140, Southern Ocean

description: Multibeam data were collected during RV Polarstern cruise PS140 (2023-11-25 to 2024-02-01). Multibeam sonar system was Atlas Hydrographic Hydrosweep DS 3 multibeam echo sounder. Data are processed with Caris HIPS, including sound velocity correction with SV data from SVPs, CTDs and World Ocean Atlas 18 (https://www.ncei.noaa.gov/archive/accession/NCEI-WOA18), tidal correction with TPXO9_atlas_v5 (https://www.tpxo.net), and manual cleaning. The soundings are combined in daily files, the format is XYZ ASCII ( ). Additional blockmedian grids have been computed with depth dependent cell size to visualize the data. These grids are not meant for scientific analysis or navigation, but for overview purposes only.
description: These data should not be used for navigational purposes.
DOI: 10.5061/dryad.vx0k6djq3
title: Elevational gradients of reptiles: Western Ghats, India

description: We studied elevational gradients of reptile richness in the southern
 Western Ghats of India. We tested different hypotheses explaining
 elevational diversity and examined the major drivers of species richness
 patterns. We collected data on reptiles using Visual Encounter Survey
 (VES) methods in each 100 m elvation zones in the Agasthyamalai Hills
 which has elevation ranging from 100 m to 1500 m a.s.l.. We used 10×10 m
 quadrats for estimating tree density data that we used in our
 final analysis. We also collected climatic data such as mean annual
 temperature and precipitation representing each sampling location as
 bioclimatic variables influencing species richness. Here we submit all
 these datasets concerning reptiles (richness and abundance) and
 bioclimatic variables (along with the R-script for analysis) that we used
 for  our manuscript titled "Elevational gradients of reptile
 richness in the southern Western Ghats of India: evaluating spatial and
 bioclimatic drivers."
description: We used Visual Encounter Survey (VES) method in each 100 m
 zone for sampling reptiles across an elevational gradient of 100 to 1500 m
 a.sl.. VES is a time-contrained method, and each sample consists of
 one-hour search by two persons as described in our MS (Jins <em>et
 al</em>. 2020). The number of samples in each elevation
 zone is provided in our dataset. We used 10×10 m quadrats for
 sampling tree density. We also collected data on mean annual temperature
 and precipitation representing each sampling locations from Chelsa climate
 (https://chelsa-climate.org/). Species abundances in each site is given in
 'sample.data'. This is basically a reshaped dataset (of reptile
 richness/abundance along elevation) for the easy use in
 R-platform. The list of reptiles recorded in VES is given in
 'sp.data'. The major dataset we used for regression analysis is
 given in 'sites'.
description: We are providing the complete R-script along with datasets if
 someone want to use the analytical approaches we followed in our
 paper.
DOI: 10.1594/pangaea.969113
title: Multibeam bathymetry processed data (Atlas Hydrosweep DS 3 echo sounder entire dataset) of RV POLARSTERN during cruise PS141, Southern Ocean

description: Multibeam data were collected during RV Polarstern cruise PS141 (2024-02-06 to 2024-04-14). Multibeam sonar system was Atlas Hydrographic Hydrosweep DS 3 multibeam echo sounder. Data are processed with Caris HIPS, including sound velocity correction with SV data from SVPs, CTDs and World Ocean Atlas 18 (https://www.ncei.noaa.gov/archive/accession/NCEI-WOA18), tidal correction with TPXO9_atlas_v5 (https://www.tpxo.net), and manual cleaning. The soundings are combined in daily files, the format is XYZ ASCII ( ). Additional blockmedian grids have been computed with depth dependent cell size to visualize the data. These grids are not meant for scientific analysis or navigation, but for overview purposes only.
description: These data should not be used for navigational purposes.
DOI: 10.1594/pangaea.963669
title: Benthic foraminifera counts from IODP Hole 371-U1506A
DOI: 10.1594/pangaea.931265
title: Amundsen Sea, seismic reflection profile AWI-20100131

description: Seismic reflection data collected during RV Polarstern Expedition ANT-XXVI/3 in the Amundsen Sea of West Antarctica in early 2010. 3 GI-Guns Type 150 were used as seismic source, a 3000 m long digital streamer recorded the data. See expedition report on Expedition ANT-XXVI/3 for data acquisition parameters and metadata file for data processing steps.
DOI: 10.1594/pangaea.931268
title: Amundsen Sea, seismic reflection profile AWI-20100132

description: Seismic reflection data collected during RV Polarstern Expedition ANT-XXVI/3 in the Amundsen Sea of West Antarctica in early 2010. 3 GI-Guns Type 150 were used as seismic source, a 3000 m long digital streamer recorded the data. See expedition report on Expedition ANT-XXVI/3 for data acquisition parameters and metadata file for data processing steps.
DOI: 10.1594/pangaea.954628
title: Multibeam bathymetry processed data (Atlas Hydrosweep DS 3 echo sounder entire dataset) of RV POLARSTERN during cruise PS124, Weddell Sea, Southern Ocean

description: Multibeam data were collected during RV Polarstern cruise PS124 (2021-02-04 to 2021-03-30). Multibeam sonar system was Atlas Hydrographic Hydrosweep DS 3 multibeam echo sounder. Data are processed with Caris HIPS, including sound velocity correction with SV data from CTDs and World Ocean Atlas 13 (https://doi.org/10.7289/v5f769gt), tidal correction with TPXO9_atlas_v5 (https://www.tpxo.net), and manual cleaning. The soundings are combined in daily files, the format is XYZ ASCII ( ). Additional blockmedian grids have been computed with depth dependent cell size to visualize the data. These grids are not meant for scientific analysis or navigation, but for overview purposes only.
description: These data should not be used for navigational purposes.
DOI: 10.1594/pangaea.940604
title: World Ocean 14C plateau tuning

description: On the basis of minor time scale adjustments including the synchronization on IntCal20 the Suigetsu-based atmospheric 14C plateau structures are shown to be authentic. Their global significance is demonstrated by the coherence with the tree ring record 10 to 15 cal. ka. The suite of atmospheric structures can be recognized in high-resolution ocean sediment records independent of various processes leading to partial distortion of a sediment record. This provides a unique tool for global stratigraphic correlation and paleoceanographic studies as shown by supplementary figures and tables from 19 cores obtained from key locations in the world ocean.
DOI: 10.1594/pangaea.931266
title: Amundsen Sea, seismic reflection profile AWI-20100130

description: Seismic reflection data collected during RV Polarstern Expedition ANT-XXVI/3 in the Amundsen Sea of West Antarctica in early 2010. 3 GI-Guns Type 150 were used as seismic source, a 3000 m long digital streamer recorded the data. See expedition report on Expedition ANT-XXVI/3 for data acquisition parameters and metadata file for data processing steps.
DOI: 10.1594/pangaea.927600
title: Aseismic strain counts, QUAR 2007-09-28
DOI: 10.1594/pangaea.931263
title: Amundsen Sea, seismic reflection profile AWI-20100134

description: Seismic reflection data collected during RV Polarstern Expedition ANT-XXVI/3 in the Amundsen Sea of West Antarctica in early 2010. 3 GI-Guns Type 150 were used as seismic source, a 3000 m long digital streamer recorded the data. See expedition report on Expedition ANT-XXVI/3 for data acquisition parameters and metadata file for data processing steps.
DOI: 10.1594/pangaea.927601
title: Aseismic strain counts, QUAR 2006-10-17 to 2006-11-06
DOI: 10.5061/dryad.cjsxksn4h
title: Data from: Rapid speciation via the evolution of pre-mating isolation

description: Behavioral isolation can catalyze speciation and permit the slow
 accumulation of additional reproductive barriers between co-occurring
 organisms. We illustrate how this process occurs by examining the genomic
 and behavioral bases of pre-mating isolation between two bird species
 (Sporophila hypoxantha and the recently discovered S. iberaensis) that
 belong to the capuchino seedeaters, a recent, rapid radiation
 characterized by variation in male plumage coloration and song. Though
 these two species co-occur without ecological barriers to reproduction, we
 document strong assortative mating and behaviorally-mediated species
 recognition associated with genomic regions underlying male plumage
 patterning. Plumage differentiation originated through the reassembly of
 standing genetic variation, indicating how novel sexual signals can
 quickly arise and maintain species boundaries.
description: Please see the description of each file in README.txt
DOI: 10.15468/dl.wrepxt
title: Occurrence Download

description: A dataset containing 11552437 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 11552437 records from 4983 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001554-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4228/zalf-ztwg-fh58
title: PatchCROP Geodata

description: The  patchCROP  project  is  an  experimental  approach  to  
design  multifunctional  and  sustainable  cropping  systems  
of the future.
It has been designed as a living lab to serve as a platform 
for the investigation of abiotic and biotic effects and inter-
actions  in  newly  created  small-structured  field  units  and, 
in particular, site-specific crop rotations and management 
practices adapted to the heterogeneity of the area.
This dataset contains the patch geometries and forms a data collection together with point information on soil sensorsand weather stations.
Related datasets are listed in the metadata element 'Related Identifier'. Dataset version 1.3
DOI: 10.57830/2312768
title: NGPN Plant Community Monitoring for Mount Rushmore National Memorial (MORU)

description: These data were generated by the work of many different field crews (2011-2024) who visited each unit each year collecting information on the condition of selected resources (Vital Signs). The data collection was guided by established methods and detailed protocols including: paired (2) 50-m line-point intercept transects for abundance; 10, 1-m2 quadrats for species diversity; 314-m2 circular plots for small diameter woody species (shrubs, seedlings and saplings); and 314-m2 or 1000-m2 for trees greater than 2.5-cm at 1-meter above the ground (1-inch at breast-height). 
The purpose of these data is to inform park staff, planners, administrators, partners and the public with quantitative records of the composition and abundance of vegetation in National Park Units. These data were carefully collected using precise methods, careful documentation, and multiple quality control steps. Species names and codes were cross-referenced to the USDA “Plants” database authority. Rare and unknown species were collected and verified by staff of the Wyoming Natural Diversity Database, University of Wyoming. These data are working files used to guide and inform park managers who make decisions about conservation and management of habitats and resources of the park based on desired conditions of resources. These data are provided as one key piece of evidence to support management of vegetation, fuels and habitats. No claims are made, legal or otherwise, regarding the accuracy, precision and utility of these data. Many people deserve credit for these data who cannot be named here, but also recognized are: Kara Paintner, Isabel Ashton, and Joan Jackson.
The Northern Great Plains Network (NGPN) is part of the NPS Inventory and Monitoring Division (IMD). We provide scientific support, data and interpretation related to resource conditions in park units within the Network in support of the National Park Service Organic Act and the National Parks Omnibus Management Act (Title II, Section 204 – Inventory and Monitoring Program). The NGPN network includes 13 NPS units: Fort Union NHS, Theodore Roosevelt NP, Knife River Indian Villages NHS, Devils Tower NM, Jewel Cave NM, Mount Rushmore NMEM, Badlands NP, Wind Cave NP, Fort Laramie NHS, Agate Fossil Beds NM, Scotts Bluff NM, Missouri NRR, and Niobrara NSR.
DOI: 10.25326/588z-cs84
title: alpha-pinene+beta-pinene+ethene+Isobutene+isoprene+myrcene+propene+SF6 + None - Reference experiment - 2010-11-08

description: Publication of the dataset
DOI: 10.25326/yt9g-9914
title: carbon monoxide+SF6+tetramethylethene+trans-2-butene + None - Reference experiment - 2010-11-09

description: Publication of the dataset
DOI: 10.25326/6b51-1h91
title: Nitric oxide+ozone+SF6+terpinolene+tetramethylethene+trans-2-butene+water + None - Reference experiment - 2010-11-10

description: Publication of the dataset
DOI: 10.15468/dl.8u54at
title: Occurrence Download

description: A dataset containing 294 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "Geometry POLYGON((-148.97973 -43.31981,9.97973 -43.31981,9.97973 20.31981,-148.97973 20.31981,-148.97973 -43.31981))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (90fd6680-349f-11d8-aa2d-b8a03c50a862, 8e1a97a0-3ca8-11d9-8439-b8a03c50a862, 33d232b5-5cc2-4521-8bd6-121c5bb41c32, d0e01e0c-7e8c-49aa-aeed-15fab7dfee46, bc092ff0-02e4-11dc-991f-b8a03c50a862, 061b4f20-f241-11da-a328-b8a03c50a862, 838537fc-4aeb-4980-8b58-97fbdcd1d91a, 396d5f30-dea9-11db-8ab4-b8a03c50a862, 5184e024-2899-4635-884b-c9d769e72cdd)",
 "TaxonKey is Minthostachys mollis (Benth.) Griseb."
 ]
}

 The dataset includes 294 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009824-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25326/xsh2-bj82
title: alpha-pinene+carbon monoxide+isoprene+methylchavicol+ozone+SF6 + None - Reference experiment - 2010-11-11

description: Publication of the dataset
DOI: 10.25326/cbhp-pw77
title: Nitric oxide+ozone+SF6 + None - Reference experiment - 2010-11-12

description: Publication of the dataset
DOI: 10.25326/4380-ej72
title: alpha-terpinene + NO3 - Gas-phase oxidation - kinetic study - 2018-01-29

description: Publication of the dataset
DOI: 10.25326/9p95-cz30
title: alpha-terpinene + NO3 - Gas-phase oxidation - kinetic study - 2018-01-29

description: Publication of the dataset
DOI: 10.25326/ytkm-n333
title: gamma-terpinene + NO3

description: Publication of the dataset
DOI: 10.25326/zkc5-cf38
title: alpha-terpinene + NO3

description: Publication of the dataset
DOI: 10.15468/dl.m4pra5
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Pajanelia DC."
 ]
}

 The dataset includes 43 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009823-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25326/7e49-qd85
title: water + None - Other - 2019-07-02

description: Publication of the dataset
DOI: 10.25326/0gey-1n09
title: water + None - Other - 2019-07-22

description: Publication of the dataset
DOI: 10.5281/zenodo.11522828
title: Dataset: Gold standard dataset for explainability need detection in app reviews.

description: We crawled 90,000 app reviews from both Google Play Store and Apple App Store, including reviews from both free and paid apps. These reviews were filtered for explainability needs, and after this process, 4,495 reviews remained. Among them, 2,185 reviews indicated an explanation need, while 2,310 did not. This resulting gold standard dataset was used to train and evaluate several machine learning models and rule-based approaches for detecting explanation needs in app reviews.

The dataset includes both balanced and unbalanced evaluation sets, as well as the original crawled data from October 2023. In addition to machine learning approaches, rule-based methods optimized for F1 score, precision, and recall are also included.

We provide several pre-trained machine learning models (including BERT, SetFit, AdaBoost, K-Nearest Neighbor, Logistic Regression, Naive Bayes, Random Forest, and SVM) along with training scripts and evaluation notebooks. These models can be applied directly or retrained using the included datasets.

For further details on the structure and usage of the dataset, please refer to the README.md file within the provided ZIP archive.
DOI: 10.5281/zenodo.11522829
title: Dataset: ASE24 paper 757

description: Dataset: ASE24 paper 757, README.me is in the zip file
DOI: 10.5281/zenodo.13273192
title: Dataset: Gold standard dataset for explainability need detection in app reviews.

description: We crawled 90,000 app reviews from both Google Play Store and Apple App Store, including reviews from both free and paid apps. These reviews were filtered for explainability needs, and after this process, 4,495 reviews remained. Among them, 2,185 reviews indicated an explanation need, while 2,310 did not. This resulting gold standard dataset was used to train and evaluate several machine learning models and rule-based approaches for detecting explanation needs in app reviews.

The dataset includes both balanced and unbalanced evaluation sets, as well as the original crawled data from October 2023. In addition to machine learning approaches, rule-based methods optimized for F1 score, precision, and recall are also included.

We provide several pre-trained machine learning models (including BERT, SetFit, AdaBoost, K-Nearest Neighbor, Logistic Regression, Naive Bayes, Random Forest, and SVM) along with training scripts and evaluation notebooks. These models can be applied directly or retrained using the included datasets.

For further details on the structure and usage of the dataset, please refer to the README.md file within the provided ZIP archive.
DOI: 10.25326/kvqq-g362
title: water + None - Other - 2019-07-22

description: Publication of the dataset
DOI: 10.25326/5y4c-zy32
title: water+water + None - Other - 2019-07-29

description: Publication of the dataset