cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8376337
title: The deglaciation of the Pyrenees through the 47 ka record of Pllan d'Están paleolake (Ésera valley)

description: The last deglaciation in the Pyrenees was a complex period with several glacier advances associated with rapid climate changes which differ in terms of timing and intensity. The 46.7 ka lacustrine sequence of Pllan d’Están paleolake (1,840 m a.s.l.) provides new information about that deglaciation period for the first time in the Ésera valley. The multiproxy analysis (sedimentological, geochemical and biological indicators) constrained with a robust chronological model, enabled the longest reconstruction of the glacier evolution, climate and environmental change made in the Pyrenees to date. This lacustrine sedimentary sequence (4.9 m) is composed of banded to finely laminated silts with few intercalations of massive sections where carbonatic, siliciclastic and organic facies appear from the bottom to the top characterizing environmental changes from a subglacial/proglacial lake to the current peatbog. A cold and glacier-dominated period from 46.7 to 15.9 ka BP was interrupted by a warmer period spanning from 38.2 to 34.8 ka. The vegetation succession determined by the palynological analyses is similar to other Pyrenean valleys but dates the onset of mesophyte expansion at 13.8 ka BP during the Allerød, pointing to a difference with other European sequences where temperate forest development took place earlier, associated with the Bølling period. The colder conditions of the Younger Dryas (13-34 11.7 ka) have been detected from cold tolerant diatom taxa that preceded a peatbog development during the Holocene (11.7 ka BP – present-day). These results, together with previously studied Pyrenean sequences, allow characterizing past environmental changes during last deglaciation phases in southern Europe.
DOI: 10.60520/ieda/113155
title: Major and trace element compositions of calcite, dolomite and apatite in carbonate rocks from Balangoda, Sri Lanka

description: Major and trace element compositions of calcite, dolomite and apatite in carbonate rocks from Balangoda, Sri Lanka Element compositions of calcite, dolomite and apatite were determined with a 193 nm Coherent GeoLas Pro ArF Excimer laser coupled to an Element XR HR-ICP-MS instrument (LA-ICP-MS) at the Institute of Geology and Geophysics, Chinese Academy of Sciences. Details of the analytical methods are available in Li et al. (2023). The data reduction software ICPMSDataCal was used for the off-line selection and integration of the background and analyte signals, time-drift correction and quantitative calibration (Liu et al., 2008).
description: Submitted
DOI: 10.15131/shef.data.25429075
title: Interviews with urban commons and municipalism activist in Barcelona [in Spanish]

description: This dataset contains the transcription of 23 interviews with 26 people conducted between 2021 and 2022 as part of the doctoral research on the 'becoming-common of the public'. The research examines the role of the commons within the Spanish municipalist political hypothesis; how this hypothesis has been deployed in urban commoning processes in Barcelona; future scenarios in which commoning processes constitute an alternative form of social organisation; and the possibility of defining planning as a commoning methodology.Ethics application number 034257 was approved by The University of Sheffield on 7 July 2020.
DOI: 10.15131/shef.data.25429075.v1
title: Interviews with urban commons and municipalism activist in Barcelona [in Spanish]

description: This dataset contains the transcription of 23 interviews with 26 people conducted between 2021 and 2022 as part of the doctoral research on the 'becoming-common of the public'. The research examines the role of the commons within the Spanish municipalist political hypothesis; how this hypothesis has been deployed in urban commoning processes in Barcelona; future scenarios in which commoning processes constitute an alternative form of social organisation; and the possibility of defining planning as a commoning methodology.Ethics application number 034257 was approved by The University of Sheffield on 7 July 2020.
DOI: 10.5281/zenodo.10810415
title: Identification of an altitudinal migration pattern of Abies pinsapo in the Baetic Mountains through the presence of its life stages

description: This data set is used to explore the altitudinal shift of Abies pinsapo Boiss. in the Baetic System. We analysed the potential distribution of the realised and reproductive niches of A. pinsapo populations in the Ronda Mountains (Southern Spain) by using species distribution models (SDMs) for two life stages within the current populations. The realised and reproductive niches of A. pinsapo are different to one another, which may indicate a displacement in its altitudinal distribution.
description: The presence of Abies pinsapo in the Baetic Mountain Range was verified in sampling campaigns that took place in 2012 and 2013. A total of 141 stands of natural origin were sampled, in wich the presence of the different life stages was recorded. Three datasets were arranged for a SDM analysis, based on the presence of the life stages of interest. Two of those groups consisted of stands including individuals at either extreme of the age distribution (i.e., "sapling" and "mature"), while the third included all of the stands recorded (i.e., "whole"); these were defined as follows:



Sapling: stands that included the presence of young individuals whose height did not exceed 40 cm; n = 41.

Mature: stands that included the presence of individuals whose diameter at 130 cm above the ground (dbh) exceeded 20 cm; n = 134.

Whole: included all of the stands of natural origin, regardless of the life stages they included; n = 141.
description: The file LeanPatternOccurrences.csv contains the following fields:



POINT: Code that designates the stand with verified presence of Abies pinsapo in the Baetic Mountain Range.

LON: Longitude expressed in decimal degrees (Datum WGS84).

LAT: Latitude expressed in decimal degrees (Datum WGS84).

X: X coordinate in UTM (zone 30S).

Y: Y coordinate in UTM (zone 30S).

WHO: Presence (1) or absence (0) of Abies pinsapo in the record.

MAT: Presence (1) or absence (0) of mature individuals of Abies pinsapo in the record.

SAP: Presence (1) or absence (0) of Abies pinsapo saplings in the record.
DOI: 10.6084/m9.figshare.25436836
title: Landmark data of Aedes albopictus and Armigeres subalbatus for geometric morphometric analyses

description: Landmark data of Aedes albopictus and Armigeres subalbatus for geometric morphometric analyses
DOI: 10.5281/zenodo.7802694
title: Titanium Alloys Database for Medical Applications

description: In this database, 238 titanium alloys were collected, almost entirely of biocompatible alloying elements. The primary motivation behind creating such a database is to establish a foundation for designing new alloys using machine learning methods. The database can assist researchers, engineers, and biomedical professionals in developing titanium alloys for various medical applications, thereby improving health outcomes and driving advancements in biomaterials and biomedical engineering. For more information read the paper at: https://doi.org/10.30544/MMD5 NOTE: To avoid misunderstandings, please cite both the database and the published article when citing this database. We invite other authors to contribute to the updating of this database (send at least 20 new alloys to appear as co-author)
DOI: 10.5281/zenodo.7802693
title: Titanium Alloys Database for Medical Applications

description: The new 2.0 version (12.7.2023) includes the following modifications: 247 biocompatible Ti alloys; the table shows only literature data; a Jupyter notebook provides the calculated data.


In this database, 238 titanium alloys were collected, almost entirely of biocompatible alloying elements. The primary motivation behind creating such a database is to establish a foundation for designing new alloys using machine learning methods. The database can assist researchers, engineers, and biomedical professionals in developing titanium alloys for various medical applications, thereby improving health outcomes and driving advancements in biomaterials and biomedical engineering.


For more information read the paper at:  https://doi.org/10.30544/MMD5 


NOTE: To avoid misunderstandings, please cite both the database and the published article when citing this database.


We invite other authors to contribute to the updating of this database (send at least 20 new alloys to appear as co-author)
DOI: 10.5281/zenodo.8139838
title: Titanium Alloys Database for Medical Applications

description: The new 2.0 version (12.7.2023) includes the following modifications: 247 biocompatible Ti alloys; the table shows only literature data; a Jupyter notebook provides the calculated data.


In this database, 238 titanium alloys were collected, almost entirely of biocompatible alloying elements. The primary motivation behind creating such a database is to establish a foundation for designing new alloys using machine learning methods. The database can assist researchers, engineers, and biomedical professionals in developing titanium alloys for various medical applications, thereby improving health outcomes and driving advancements in biomaterials and biomedical engineering.


For more information read the paper at:  https://doi.org/10.30544/MMD5 


NOTE: To avoid misunderstandings, please cite both the database and the published article when citing this database.


We invite other authors to contribute to the updating of this database (send at least 20 new alloys to appear as co-author)
DOI: 10.5523/bris.3bkvq4bbwzqwc2iovjpmyzffdt
title: Exploring pleiotropy in Mendelian randomisation analyses: What are genetic variants associated with “cigarette smoking initiation” really capturing?

description: This observational study examined whether there was evidence of horizontal pleiotropy for genetic variants associated at genome-wide significance with different smoking phenotypes. We conducted analyses using data from UK Biobank (N=101,397 to 336,988) and ALSPAC (mother N=3,635 to 13,093, father / partner N=1,713 to 9,833, child N=4,703 to 13,923). The analysis plan for this study was pre-registered on Open Science Framework (https://osf.io/37xyn).
DOI: 10.17632/9rksz6sp74.1
title: Lanctôt et al. 2024 miRNA

description: miRNA normalized dataset
DOI: 10.18419/darus-2790/1
title: plot.dat_selalib_sg_8200_0.txt

description: :unav
DOI: 10.5281/zenodo.10839643
title: Data for "Stratospheric Downward Wave Reflection Events Modulate North American Weather Regimes and Cold Spells"

description: Wave reflection index and regimes time series for DJFM 1979/80 - 2020/21 as used in Messori et al. (2022) "Stratospheric Downward Wave Reflection Events Modulate North American Weather Regimes and Cold Spells", Weather and Climate Dynamics. This dataset has been updated following the publication of a corrigendum: https://doi.org/10.5194/wcd-3-1215-2022-corrigendum. The correction only applies to the reflection index (the regimes time series are unchanged).
DOI: 10.5281/zenodo.7126679
title: Data for "Stratospheric Downward Wave Reflection Events Modulate North American Weather Regimes and Cold Spells"

description: Wave reflection index and regimes time series for DJFM 1979/80 - 2020/21 as used in Messori et al. (2022) "Stratospheric Downward Wave Reflection Events Modulate North American Weather Regimes and Cold Spells", Weather and Climate Dynamics. This dataset has been updated following the publication of a corrigendum: https://doi.org/10.5194/wcd-3-1215-2022-corrigendum. The correction only applies to the reflection index (the regimes time series are unchanged).
DOI: 10.18419/darus-2790/2
title: combined_vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/3
title: plot.dat_selalib_sg_2100_0.txt

description: :unav
DOI: 10.18419/darus-2790/4
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/5
title: plot.dat_selalib_sg_6600_0.txt

description: :unav
DOI: 10.18419/darus-2790/6
title: plot.dat_selalib_sg_10200_0.txt

description: :unav
DOI: 10.18419/darus-2790/7
title: param.nml

description: :unav
DOI: 10.18419/darus-2790/8
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/9
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/10
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/11
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/12
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/13
title: plot.dat_selalib_sg_3700_0.txt

description: :unav
DOI: 10.18419/darus-2790/14
title: plot.dat_selalib_sg_3500_0.txt

description: :unav
DOI: 10.18419/darus-2790/15
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.18419/darus-2790/16
title: plot.dat_selalib_sg_17400_0.txt

description: :unav
DOI: 10.18419/darus-2790/17
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.18419/darus-2790/18
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/19
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/20
title: plot.dat_selalib_sg_1600_0.txt

description: :unav
DOI: 10.18419/darus-2790/21
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.18419/darus-2790/22
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.18419/darus-2790/23
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/24
title: plot.dat_selalib_sg_100_0.txt

description: :unav
DOI: 10.18419/darus-2790/25
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.18419/darus-2790/26
title: plot.dat_selalib_sg_11200_0.txt

description: :unav
DOI: 10.18419/darus-2790/27
title: plot.dat_selalib_sg_13800_0.txt

description: :unav
DOI: 10.18419/darus-2790/28
title: param.nml

description: :unav
DOI: 10.18419/darus-2790/29
title: plot.dat_selalib_sg_10000_0.txt

description: :unav
DOI: 10.18419/darus-2790/30
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/31
title: param.nml

description: :unav
DOI: 10.18419/darus-2790/32
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/33
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.18419/darus-2790/34
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.18419/darus-2790/35
title: param.nml

description: :unav
DOI: 10.18419/darus-2790/36
title: plot.dat_selalib_sg_17100_0.txt

description: :unav
DOI: 10.18419/darus-2790/37
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/38
title: param.nml

description: :unav
DOI: 10.18419/darus-2790/39
title: plot.dat_selalib_sg_18800_0.txt

description: :unav
DOI: 10.18419/darus-2790/40
title: plot.dat_selalib_sg_1800_0.txt

description: :unav
DOI: 10.18419/darus-2790/41
title: plot.dat_selalib_sg_16100_0.txt

description: :unav
DOI: 10.18419/darus-2790/42
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/43
title: plot.dat_selalib_sg_8500_0.txt

description: :unav
DOI: 10.18419/darus-2790/44
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/45
title: plot.dat_selalib_sg_2300_0.txt

description: :unav
DOI: 10.18419/darus-2790/46
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/47
title: param.nml

description: :unav
DOI: 10.18419/darus-2790/48
title: plot.dat_selalib_sg_4000_0.txt

description: :unav
DOI: 10.18419/darus-2790/49
title: param.nml

description: :unav
DOI: 10.18419/darus-2790/50
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/51
title: plot.dat_selalib_sg_9400_0.txt

description: :unav
DOI: 10.18419/darus-2790/52
title: plot.dat_selalib_sg_15500_0.txt

description: :unav
DOI: 10.18419/darus-2790/53
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.18419/darus-2790/54
title: plot.dat_selalib_sg_9900_0.txt

description: :unav
DOI: 10.18419/darus-2790/55
title: param.nml

description: :unav
DOI: 10.18419/darus-2790/56
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/57
title: plot.dat_selalib_sg_0.txt

description: :unav
DOI: 10.18419/darus-2790/58
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.18419/darus-2790/59
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/60
title: param.nml

description: :unav
DOI: 10.18419/darus-2790/61
title: plot.dat_selalib_sg_12200_0.txt

description: :unav
DOI: 10.18419/darus-2790/62
title: plot.dat_selalib_sg_15100_0.txt

description: :unav
DOI: 10.18419/darus-2790/63
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/64
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/65
title: plot.dat_selalib_sg_17000_0.txt

description: :unav
DOI: 10.18419/darus-2790/66
title: param.nml

description: :unav
DOI: 10.18419/darus-2790/67
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/68
title: plot.dat_selalib_sg_4200_0.txt

description: :unav
DOI: 10.18419/darus-2790/69
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.18419/darus-2790/70
title: plot.dat_selalib_sg_13200_0.txt

description: :unav
DOI: 10.18419/darus-2790/71
title: plot.dat_selalib_sg_11900_0.txt

description: :unav
DOI: 10.18419/darus-2790/72
title: plot.dat_selalib_sg_6100_0.txt

description: :unav
DOI: 10.18419/darus-2790/73
title: plot.dat_selalib_sg_7700_0.txt

description: :unav
DOI: 10.18419/darus-2790/74
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/75
title: plot.dat_selalib_sg_4900_0.txt

description: :unav
DOI: 10.18419/darus-2790/76
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/77
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/78
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.18419/darus-2790/79
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.18419/darus-2790/80
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.18419/darus-2790/81
title: param.nml

description: :unav
DOI: 10.18419/darus-2790/82
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/83
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/84
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/85
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/86
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/87
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/88
title: ctparam

description: :unav
DOI: 10.18419/darus-2790/89
title: plot.dat_selalib_sg_6500_0.txt

description: :unav
DOI: 10.18419/darus-2790/90
title: plot.dat_selalib_sg_12300_0.txt

description: :unav
DOI: 10.18419/darus-2790/91
title: plot.dat_selalib_sg_3800_0.txt

description: :unav
DOI: 10.18419/darus-2790/92
title: plot.dat_selalib_sg_11500_0.txt

description: :unav
DOI: 10.18419/darus-2790/93
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/94
title: plot.dat_selalib_sg_15700_0.txt

description: :unav
DOI: 10.18419/darus-2790/95
title: param.nml

description: :unav
DOI: 10.18419/darus-2790/96
title: plot.dat_selalib_sg_14300_0.txt

description: :unav
DOI: 10.18419/darus-2790/97
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/98
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/99
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/100
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.18419/darus-2790/101
title: param.nml

description: :unav
DOI: 10.18419/darus-2790/102
title: param.nml

description: :unav
DOI: 10.18419/darus-2790/103
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/104
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/105
title: vp_B2_3d3v.h5

description: :unav
DOI: 10.18419/darus-2790/106
title: plot.dat_selalib_sg_7500_0.txt

description: :unav
DOI: 10.18419/darus-2790/107
title: plot.dat_selalib_sg_10600_0.txt

description: :unav
DOI: 10.18419/darus-2790/108
title: vp_B2_3d3vadd.dat

description: :unav
DOI: 10.18419/darus-2790/109
title: param.nml

description: :unav
DOI: 10.18419/darus-2790/110
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/111
title: vp_B2_3d3v.dat

description: :unav
DOI: 10.18419/darus-2790/112
title: param.nml

description: :unav
DOI: 10.18419/darus-2790/113
title: plot.dat_selalib_sg_1400_0.txt

description: :unav
DOI: 10.18419/darus-2790/114
title: selalib_setenv.sh

description: :unav
DOI: 10.18419/darus-2790/115
title: plot.dat_selalib_sg_6200_0.txt

description: :unav
DOI: 10.5066/p9jhb2x2
title: Data for a Pilot Study Characterizing Future Climate and Hydrology in Massachusetts

description: The U.S. Geological Survey has developed tools for projecting twenty-first century climate and hydrologic risk in Massachusetts in collaboration with Cornell University and Tufts University. These tools included a Stochastic Weather Generator (SWG). Output from the SWG is in this data release. The release includes daily precipitation and minimum and maximum air temperature for a 64-year period in the Nashua River watershed (that includes the Squannacook River) in Massachusetts and New Hampshire. There are 100 ensembles from the SWG for warming scenarios of 0 to 8 degrees Celsius in 0.5-degree increments. The SWG data were converted to a format utilized by the Precipitation-Runoff Modeling System (PRMS; https://www.usgs.gov/software/precipitation-runoff-modeling-system-prms) and input to a PRMS model for the Squannacook River watershed. The PRMS input and output files for the 100 ensembles of each of the 17 warming scenarios are also included in this data release. The 1,700 PRMS output files were utilized by a Stochastic Watershed Modeling tool to correct modeling biases that are inherent with a deterministic model such as PRMS. This data release includes the output from this Stochastic Watershed Model (SWM). For each of the 100 ensembles, the SWM was used to generate 10,000 ensembles, resulting in 1 million ensembles of 64-year periods for each of the warming scenarios. For each ensemble, streamflow characteristics of the annual maximum daily discharge at the 2-, 5-, 10-, 25-, 50-, 100-, and 500-year recurrence interval and of the annual 7-day low flow at the 2- and 10-year recurrence interval were determined.
DOI: 10.6084/m9.figshare.24586926.v2
title: Vaknin_Pockmarks_source_data.xlsx

description: source data for JGR paper (DOI: TBC)
DOI: 10.5517/ccdc.csd.cc26118l
title: CCDC 2026788: Experimental Crystal Structure Determination

description: Related Article: Mauricio Posada Urrutia, Nidhi Kaul, Tobias Kaper, Dustin Hurrell, Linus Chiang, Jordann A. L. Wells, Andreas Orthaber, Leif Hammarström, Lukasz T. Pilarski, Christine Dyrager|2024|Dalton Trans.|53|5658|doi:10.1039/D4DT00238E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc26hdsx
title: CCDC 2040599: Experimental Crystal Structure Determination

description: Related Article: Renato Rabelo, Luminita Toma, Miguel Julve, Francesc Lloret, Jorge Pasán, Danielle Cangussu, Rafael Ruiz-García, Joan Cano|2024|Dalton Trans.|53|5507|doi:10.1039/D4DT00059E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.