cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2ffc08
title: CCDC 2247159: Experimental Crystal Structure Determination

description: Related Article: Jan Vrána, Zdeňka Růžičková, Aleš Růžička, Libor Dostál|2023|Dalton Trans.|52|12623|doi:10.1039/D3DT01859H
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.cc2g29c7
title: CCDC 2266328: Experimental Crystal Structure Determination

description: Related Article: Hanning Li, Yang Yang, Xu Jing, Cheng He, Chunying Duan|2023|Chem.Commun.|59|11220|doi:10.1039/D3CC02839A
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.cc2g7zqf
title: CCDC 2271795: Experimental Crystal Structure Determination

description: Related Article: Nawal Assadawi, Christopher Richardson, Stephen F. Ralph|2023|Dalton Trans.|52|12646|doi:10.1039/D3DT02040A
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.cc2cbf38
title: CCDC 2184759: Experimental Crystal Structure Determination

description: Related Article: Qi Liu, Yue Cheng, Shihao Liu, Zi-Yi Chen, Yuan-Zhu Zhang|2023|Dalton Trans.|52|12878|doi:10.1039/D3DT01630G
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.cc2cbf16
title: CCDC 2184757: Experimental Crystal Structure Determination

description: Related Article: Qi Liu, Yue Cheng, Shihao Liu, Zi-Yi Chen, Yuan-Zhu Zhang|2023|Dalton Trans.|52|12878|doi:10.1039/D3DT01630G
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.cc2gjhl3
title: CCDC 2279975: Experimental Crystal Structure Determination

description: Related Article: Meng-Wei Lee, Gábor Balázs, Stephan Reichl, Lisa Zimmermann, Manfred Scheer, Yi-Chou Tsai|2023|Chem.Commun.|59|11192|doi:10.1039/D3CC03282E
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.cc2g34xn
title: CCDC 2267151: Experimental Crystal Structure Determination

description: Related Article: Souradip Sarkar, Aniruddha Biswas, Sarbojit Das, Bortika Sanyal, Rajkumar Sahoo, Rajarshi Samanta|2023|Chem.Commun.|59|11200|doi:10.1039/D3CC03075J
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: 10.5281/zenodo.8359618
title: Digital Elevation Model of Hintereis- and Kesselwandferner 08.10.2010

description: DTM_RegionHintereis_2010_r1.tif: DEM of Hintereis- and Kesselwandferner, acquisition date 08.10.2010 by airborne laser scan (ALS), cellsize 1x1 m, UTM WGS84, ellipsoid heights<br> DTM_RegionHintereis_2010_r1_gc.tif: Same as above but corrected for geoid heights. These DEMs are a 1x1 m version of the 10x10 m DEM from 08.10.2010 available on https://doi.org/10.1594/PANGAEA.875889 Reference: Bollmann et al. 2015: https://onlinelibrary.wiley.com/doi/10.1002/ppp.1852 Data Source / Acknowledgement: The ALS data were provided by the Institute of Geography, University of Innsbruck, Austria, financed by the project ‘Multiscale Snow/Icemelt Discharge Simulation into Alpine Reservoirs’ (MUSICALS).
DOI: 10.5281/zenodo.8355166
title: Data from: Sex differences in the relationship between maternal and foetal glucocorticoids in a free-ranging large mammal

description: <strong>Description</strong><br> <br> This registration contains the data and scripts used for the analysis in the manuscript "Sex differences in the relationship between maternal and neonate cortisol in a free-ranging large mammal" (https://doi.org/10.1101/2023.05.04.538920). All versions and additional material are posted on the OSF project page: https://osf.io/4ymc8/ Important to note: this is an updated registration from a previous version (www.osf.io/wynke). OSF currently does not allow to change the files that were uploaded previously, which is why we switched to Zenodo. Future updates to the dataset and scripts will take place here. <br> <strong>Changes to previous version</strong> Following our review process at PCI Ecology, we made some changes (mostly additions) to the previous version. This includes the addition of more raw data. Changes to the previous version include: - We added the raw faecal data (“Raw_faecal_data.csv) along with a script (“Faecal exploration .R”), which loads the raw faecal datafile and does some minor investigations on it. These include checking whether the sampling time or day matter, and calculating a repeatability estimate.<br> - In “Faecal exploration.R”, we highlight the outlier that we removed. <br> - We have added the t-test reported in the manuscript to the script “Analysis.R”.<br> - In “Analysis.R”, we now also run the analysis both with as well as without the outlier. We also have adapted our code to plot the outlier in the figure along with the other values. <br> - We have updated the README file to include a description of both the data files and the scripts. <br>
DOI: 10.5066/p9chgg0v
title: Geospatial datasets developed for a groundwater-flow model of the Denver Basin aquifer system, Colorado

description: In 2004, the U.S. Geological Survey initiated a large-scale regional study of the Denver Basin aquifer system to evaluate the hydrologic effects of continued pumping and document an updated groundwater-flow model useful for appraisal of hydrologic conditions (Paschke, 2011). This data release includes spatial datasets used as input for a three-dimensional groundwater-flow model of the Denver Basin aquifer system. Spatial datasets were developed for six Denver Basin bedrock aquifers and five intervening confining units including, from oldest to youngest, the Laramie-Fox Hills aquifer (KLF), Laramie confining unit (KLC), lower Arapahoe aquifer (LKA), Arapahoe confining unit (KAC), upper Arapahoe aquifer (UKA), Denver lower confining unit (TKDLC), Denver aquifer (TKD), Denver upper confining unit (TKDUC), lower Dawson aquifer (LTDW), Dawson confining unit (TDWC), and upper Dawson aquifer (UTDW). Maps of the base altitude and lateral extent of each aquifer were developed for the 11 aquifer and confining units to define the hydrogeologic framework for the model. The BasePoints.zip folder contains 11 point shapefiles of the data points for altitude of the base of each bedrock aquifer and confining unit and one shapefile with locations of wells in the Denver Basin having geophysical logs ("PP1770_seo_geologs_points"). The "BaseContours.zip" folder contains 11 polyline shapefiles of generalized lines of equal base altitude for each bedrock aquifer and confining unit derived from the base-altitude points, and the "Extents.zip" folder contains 11 polygon shapefiles representing the extent of each aquifer and confining unit. Maps of silt-plus-sand thickness were developed for the six bedrock aquifers and were used to estimate hydraulic conductivity and specific yield in the groundwater-flow model. The "SandPoints.zip" folder contains six point shapefiles of data points for silt-plus-sand thickness of each bedrock aquifer, and the "SandContours.zip" folder contains six polyline shapefiles of generalized lines of equal silt-plus-sand thickness derived from the silt-plus-sand thickness points. Shapefiles in the zipped folders are named using the abbreviation or name of the aquifer or confining unit as shown on Table A2 of Paschke (2011).
DOI: 10.57982/0ng1-mj97
title: PregSource: Crowdsourcing to Understand Pregnancy

description: The objective of PregSource: Crowdsourcing to Understand Pregnancy (PregSource) was: to better understand the range of physical and emotional experiences and alterations in behavior that women have during pregnancy and after giving birth, the impact of these experiences on women's lives, and the perinatal challenges encountered by special sub-populations of women.

PregSource used a longitudinal, crowd-sourcing, citizen science approach, asking pregnant women regularly and directly about their pregnancies. Participants entered information throughout gestation and the early infancy of their babies into online surveys and trackers via a website and/or mobile application ("app"). Participants could also complete online trackers for data on mood, activity level, sleep, morning sickness, and weight gain. A separate tracker was available for collecting information about any medications, vitamins, and other supplements taken during your pregnancy or the post-partum period.

PregSource was designed as a data collection effort, with the dataset intended to be made available to the scientific community for multiple analyses of interest.  The PregSource dataset includes multiple potential outcome measures, including, but not limited to:

Primary Outcomes

Gestational age at delivery
Newborn birth weight
Maternal gestational weight gain
Pregnancy complications

Possible Secondary Outcomes

Patterns of nausea and vomiting in pregnancy
Exercise levels in pregnancy
Maternal mood
Medication use in pregnancy
DOI: 10.18465/e1d1158f-e562-48fb-9ab7-d1ed2d7af3f1
title: MNS Saint-Nazaire 2019

description: Modèle Numérique de Surface obtenu par LiDAR sur la côte ligérienne au niveau de Saint-Nazaire
DOI: 10.18465/83af7f0a-bbf2-4d50-a3f9-3f9f10a09e34
title: MNS Saint-Nazaire 2020

description: Modèle Numérique de Surface obtenu par LiDAR sur la côte ligérienne au niveau de Saint-Nazaire
DOI: 10.57906/sejb-dk15
title: Census 1991 Household - Northern Ireland
DOI: 10.21944/9wr1-8t33
title: Earthquake Location Uncertainty Maps for the Netherlands
DOI: 10.57906/9c9n-9909
title: Census 1991 Individual - Great Britain
DOI: 10.5281/zenodo.8324899
title: Monitoring valve activity in M.edulis and M.galloprovincialis: Valve signal processing

description: This repository provides access to the metadata and scripts used to monitor valve gaping activity of bivalves using valvometry (Valve-Trek ; Technosmart Europe srl, www.technosmart.eu). The dataset contains valve activity records in csv format per individual sampled from February to May 2023 at Agon-Coutainville (Normandy, France), as well as r scripts for processing, formatting and analyzing valve gaping data.
description: {"references": ["Retailleau, Elie, et al. \"The nocturnal life of the great scallops (Pecten maximus, L.): First description of their natural daily valve opening cycle.\" Plos one 18.1 (2023): e0279690.", "Ahmed, Hafiz, et al. \"Automatic spawning detection in oysters: a fault detection approach.\" 2015 European Control Conference (ECC). IEEE, 2015.", "Bernard, I., et al. \"In situ spawning in a marine broadcast spawner, the Pacific oyster Crassostrea gigas: Timing and environmental triggers.\" Limnology and Oceanography 61.2 (2016): 635-647."]}
DOI: 10.5281/zenodo.8324898
title: Monitoring valve activity in M.edulis and M.galloprovincialis: Valve signal processing

description: This repository provides access to the metadata and scripts used to monitor valve gaping activity of bivalves using valvometry (Valve-Trek ; Technosmart Europe srl, www.technosmart.eu). The dataset contains valve activity records in csv format per individual sampled from February to May 2023 at Agon-Coutainville (Normandy, France), as well as r scripts for processing, formatting and analyzing valve gaping data.
description: {"references": ["Retailleau, Elie, et al. \"The nocturnal life of the great scallops (Pecten maximus, L.): First description of their natural daily valve opening cycle.\" Plos one 18.1 (2023): e0279690.", "Ahmed, Hafiz, et al. \"Automatic spawning detection in oysters: a fault detection approach.\" 2015 European Control Conference (ECC). IEEE, 2015.", "Bernard, I., et al. \"In situ spawning in a marine broadcast spawner, the Pacific oyster Crassostrea gigas: Timing and environmental triggers.\" Limnology and Oceanography 61.2 (2016): 635-647."]}
DOI: 10.18465/2beebb0c-14ea-4487-b4bb-719795b90f9b
title: MNT Saint-Nazaire 2017

description: Modèle Numérique de Terrain obtenu par LiDAR sur la côte ligérienne au niveau de Saint-Nazaire
DOI: 10.57906/r9dz-f625
title: Census 1991 Individual - Northern Ireland
DOI: 10.18465/a81aa331-a198-4854-8a00-a3606d11d23f
title: MNT Saint-Nazaire 2018

description: Modèle Numérique de Terrain obtenu par LiDAR sur la côte ligérienne au niveau de Saint-Nazaire
DOI: 10.18465/c9caa622-02a7-4a06-81c7-e82bd68f0c16
title: MNT Saint-Nazaire 2019

description: Modèle Numérique de Terrain obtenu par LiDAR sur la côte ligérienne au niveau de Saint-Nazaire
DOI: 10.25345/c56d5pn3n
title: MassIVE MSV000092892 - Proteomic Analysis of Paired Human Milk Fat Globules and Milk Fat Globule Membranes.
title: Quantitative profile of the human milk fat globule and milk fat globule membrane protein compositions.
DOI: 10.18465/84a0b582-d6f3-43f5-b8f1-fe5226e012a3
title: MNT Saint-Nazaire 2020

description: Modèle Numérique de Terrain obtenu par LiDAR sur la côte ligérienne au niveau de Saint-Nazaire
DOI: 10.6084/m9.figshare.24161850.v1
title: Sviridis_v0.2_network_combatseq_none_cuf.txt

description: co-expression network generated from matrix with normalized data from combatseq method and inter normalization method CUF
DOI: 10.6084/m9.figshare.24161850
title: Sviridis_v0.2_network_combatseq_none_cuf.txt

description: co-expression network generated from matrix with normalized data from combatseq method and inter normalization method CUF
DOI: 10.18465/88e5514b-7c75-4f5d-a9d5-4e0d4b32f09d
title: MNS Saint-Brévin-les-Pins 2017

description: Modèle Numérique de Surface obtenu par LiDAR sur la côte ligérienne au niveau de Saint-Brévin
DOI: 10.6084/m9.figshare.23995107.v1
title: <b>Selection of genetic instruments for </b><b>AF</b><b>and depression</b>

description: For the forward MR analysis , the ultimate choice consisted of 109 SNPs that were significantly linked to AF (P &lt; 5×10-8) as IVs(Supplementary Table 1). Additionally, for the reverse MR analysis , there were 25 SNPs that were significantly associated with depression (P &lt; 5×10-6) and served as IVs(Supplementary Table 2).
DOI: 10.6084/m9.figshare.24161883
title: Sviridis_v0.2_network_combatseq_none_ctf.txt

description: co-expression network generated from matrix with normalized data from combatseq method and inter normalization method CTF
DOI: 10.6084/m9.figshare.24161883.v1
title: Sviridis_v0.2_network_combatseq_none_ctf.txt

description: co-expression network generated from matrix with normalized data from combatseq method and inter normalization method CTF
DOI: 10.18465/42347c4a-fba0-4481-8e07-88786f30914d
title: MNS Saint-Brévin-les-Pins 2019

description: Modèle Numérique de Surface obtenu par LiDAR sur la côte ligérienne au niveau de Saint-Brévin
DOI: 10.6084/m9.figshare.23995107
title: <b>Selection of genetic instruments for </b><b>AF</b><b>and depression</b>

description: For the forward MR analysis , the ultimate choice consisted of 109 SNPs that were significantly linked to AF (P &lt; 5×10-8) as IVs(Supplementary Table 1). Additionally, for the reverse MR analysis , there were 25 SNPs that were significantly associated with depression (P &lt; 5×10-6) and served as IVs(Supplementary Table 2).
DOI: 10.6084/m9.figshare.23995107.v3
title: <b>Selection of genetic instruments for </b><b>AF</b><b>and depression</b>

description: For the forward MR analysis , the ultimate choice consisted of 109 SNPs that were significantly linked to AF (P &lt; 5×10-8) as IVs(Supplementary Table 1). Additionally, for the reverse MR analysis , there were 25 SNPs that were significantly associated with depression (P &lt; 5×10-6) and served as IVs(Supplementary Table 2).
DOI: 10.6084/m9.figshare.23995107.v2
title: <b>Selection of genetic instruments for </b><b>AF</b><b>and depression</b>

description: For the forward MR analysis , the ultimate choice consisted of 109 SNPs that were significantly linked to AF (P &lt; 5×10-8) as IVs(Supplementary Table 1). Additionally, for the reverse MR analysis , there were 25 SNPs that were significantly associated with depression (P &lt; 5×10-6) and served as IVs(Supplementary Table 2).
DOI: 10.6084/m9.figshare.24161868
title: Sviridis_v0.2_network_integer_tpm.txt

description: co-expression network generated from matrix with normalized data from an integer matrix and intra normalization method TPM
DOI: 10.6084/m9.figshare.24161868.v1
title: Sviridis_v0.2_network_integer_tpm.txt

description: co-expression network generated from matrix with normalized data from an integer matrix and intra normalization method TPM
DOI: 10.6084/m9.figshare.24161874
title: Sviridis_v0.2_network_integer_tpm_qnt.txt

description: co-expression network generated from matrix with normalized data from intra normalization method TPM combined with inter normalization method QNT
DOI: 10.6084/m9.figshare.24161874.v1
title: Sviridis_v0.2_network_integer_tpm_qnt.txt

description: co-expression network generated from matrix with normalized data from intra normalization method TPM combined with inter normalization method QNT
DOI: 10.34740/kaggle/dsv/6499590
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.24161853
title: Sviridis_v0.2_network_integer_none_ctf.txt

description: co-expression network generated from matrix with normalized data from inter normalization method CTF
DOI: 10.6084/m9.figshare.24161853.v1
title: Sviridis_v0.2_network_integer_none_ctf.txt

description: co-expression network generated from matrix with normalized data from inter normalization method CTF
DOI: 10.6084/m9.figshare.24161880
title: Sviridis_v0.2_network_integer_none_uq.txt

description: co-expression network generated from matrix with normalized data from inter normalization method UQ (upperquartile)
DOI: 10.6084/m9.figshare.24161880.v1
title: Sviridis_v0.2_network_integer_none_uq.txt

description: co-expression network generated from matrix with normalized data from inter normalization method UQ (upperquartile)
DOI: 10.5281/zenodo.8358924
title: Replication Package - The applicability of a hybrid framework for automated phishing detection

description: Replication package and dataset for the paper: The applicability of a hybrid framework for automated phishing detection
DOI: 10.5281/zenodo.8358925
title: Replication Package - The applicability of a hybrid framework for automated phishing detection

description: Replication package and dataset for the paper: The applicability of a hybrid framework for automated phishing detection
DOI: 10.6084/m9.figshare.24161877
title: Sviridis_v0.2_network_integer_none_tmm.txt

description: co-expression network generated from matrix with normalized data from inter normalization method TMM
DOI: 10.6084/m9.figshare.24161877.v1
title: Sviridis_v0.2_network_integer_none_tmm.txt

description: co-expression network generated from matrix with normalized data from inter normalization method TMM
DOI: 10.6084/m9.figshare.24161871
title: Sviridis_v0.2_network_integer_fpkm_qnt.txt

description: co-expression network generated from matrix with normalized data from intra normalization method FPKM combined with inter normalization method QNT
DOI: 10.6084/m9.figshare.24161871.v1
title: Sviridis_v0.2_network_integer_fpkm_qnt.txt

description: co-expression network generated from matrix with normalized data from intra normalization method FPKM combined with inter normalization method QNT
DOI: 10.6084/m9.figshare.24161859
title: Sviridis_v0.2_network_integer_fpkm.txt

description: co-expression network generated from matrix with normalized data from intra normalization method FPKM
DOI: 10.6084/m9.figshare.24161859.v1
title: Sviridis_v0.2_network_integer_fpkm.txt

description: co-expression network generated from matrix with normalized data from intra normalization method FPKM
DOI: 10.6084/m9.figshare.24161856
title: Sviridis_v0.2_network_combatseq_tpm.txt

description: co-expression network generated from matrix with normalized data from combatseq method and intra normalization method TPM
DOI: 10.6084/m9.figshare.24161856.v1
title: Sviridis_v0.2_network_combatseq_tpm.txt

description: co-expression network generated from matrix with normalized data from combatseq method and intra normalization method TPM
DOI: 10.6084/m9.figshare.24161865
title: Sviridis_v0.2_network_integer_cpm_qnt.txt

description: co-expression network generated from matrix with normalized data from intra normalization method CPM combined with inter normalization method QNT
DOI: 10.6084/m9.figshare.24161865.v1
title: Sviridis_v0.2_network_integer_cpm_qnt.txt

description: co-expression network generated from matrix with normalized data from intra normalization method CPM combined with inter normalization method QNT
DOI: 10.5281/zenodo.8359818
title: X-ray and optical light curves of the M dwarf dipper star TIC 234284556

description: We observed the star TIC 234284556 with XMM-Newton in soft X-rays and in the optical for ca. 35 hours (127.8 ks), starting 2022-04-16 22:58:46, ObsID 0881050101. We provide here two extracted soft X-ray light curves (energy band 0.2-2 keV) collected with XMM-Newton's PN camera, namely for a circular extraction region with 20 arcsec radius centered on the position of the M dwarf star TIC 234284556 (pn_lca_02_2.fits) with 100 seconds time binning, and a background light curve with the same energy range and time binning extracted for a PN background region with a three times larger radius (pn_lcabg_02_2.fits). We also provide optical light curves in the V band, collected with XMM-Newton's Optical Monitor with 10 seconds cadence (file names P0881050101OMS0**TIMESR0000.FIT). A barycentric correction, using the XMM-SAS task "barycen", has been applied to the PN and OM time columns. The time coordinate is given in seconds since BJD 2450814.5 (1998-01-01 00:00:00).
description: This work was in part funded by the German Leibniz-Gemeinschaft under grant no. P67/2018.
description: {"references": ["Poppenhaeger, K. et al., to be submitted to RNAAS."]}