cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25505/fiz.icsd.cc2h8bjn
title: CSD 2301921: Experimental Crystal Structure Determination

description: Related Article: Jason Lively and Aaron Celestian|2024|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2h8bkp
title: CSD 2301922: Experimental Crystal Structure Determination

description: Related Article: Jason Lively and Aaron Celestian|2024|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2h8blq
title: CSD 2301923: Experimental Crystal Structure Determination

description: Related Article: Jason Lively and Aaron Celestian|2024|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.10676795
title: Bottle Data HOT, Station WHOTS 50

description: This dataset contains CTD data and data from water samples collected at discrete depths via Niskin bottles mounted on the CTD rosette at HOT (Hawaii Ocean Time Series) station WHOTS 50. WHOTS 50 includes a surface mooring outfitted for meteorological and oceanographic measurements, the location of which alternates between the eastern (WHOTS 50) and southern (WHOTS 52) edges of ALOHA.  These sites are in collaboration with Woods Hole Oceanographic Institution. Time is in a separate column from date and is in GMT.

(https://www.soest.hawaii.edu/whots/)

(https://hahana.soest.hawaii.edu/hot/intro.html)
DOI: 10.5281/zenodo.10676796
title: Bottle Data HOT, Station WHOTS 50

description: This dataset contains CTD data and data from water samples collected at discrete depths via Niskin bottles mounted on the CTD rosette at HOT (Hawaii Ocean Time Series) station WHOTS 50. WHOTS 50 includes a surface mooring outfitted for meteorological and oceanographic measurements, the location of which alternates between the eastern (WHOTS 50) and southern (WHOTS 52) edges of ALOHA.  These sites are in collaboration with Woods Hole Oceanographic Institution. Time is in a separate column from date and is in GMT.

(https://www.soest.hawaii.edu/whots/)

(https://hahana.soest.hawaii.edu/hot/intro.html)
DOI: 10.5281/zenodo.10676798
title: Bottle Data HOT, Station Kahe Point

description: This dataset contains CTD data and data from water samples collected at discrete depths via Niskin bottles mounted on the CTD rosette at HOT (Hawaii Ocean Time Series) station Kahe Point.  Station Kahe Point provides a near-shore time-series for comparison to the primary open ocean HOT sampling site, station ALOHA.  Kahe Point sampling includes a CTD cast to 1000m. Time is in a separate column from date and is in GMT.

(https://www.soest.hawaii.edu/HOT_WOCE/intro.html)
DOI: 10.5281/zenodo.10676799
title: Bottle Data HOT, Station Kahe Point

description: This dataset contains CTD data and data from water samples collected at discrete depths via Niskin bottles mounted on the CTD rosette at HOT (Hawaii Ocean Time Series) station Kahe Point.  Station Kahe Point provides a near-shore time-series for comparison to the primary open ocean HOT sampling site, station ALOHA.  Kahe Point sampling includes a CTD cast to 1000m. Time is in a separate column from date and is in GMT.

(https://www.soest.hawaii.edu/HOT_WOCE/intro.html)
DOI: 10.5281/zenodo.10676804
title: Bottle Data HOT, Station Kaena

description: This dataset contains CTD data and data from water samples collected at discrete depths via Niskin bottles mounted on the CTD rosette at HOT (Hawaii Ocean Time Series) station Kaena, which has significance in the generation of internal tides. Time is in a separate column from date and is in GMT.

(https://www.soest.hawaii.edu/HOT_WOCE/intro.html)
DOI: 10.5281/zenodo.10676805
title: Bottle Data HOT, Station Kaena

description: This dataset contains CTD data and data from water samples collected at discrete depths via Niskin bottles mounted on the CTD rosette at HOT (Hawaii Ocean Time Series) station Kaena, which has significance in the generation of internal tides. Time is in a separate column from date and is in GMT.

(https://www.soest.hawaii.edu/HOT_WOCE/intro.html)
DOI: 10.5281/zenodo.10676807
title: Bottle Data HOT, Station HALE ALOHA

description: This dataset contains CTD data and data from water samples collected at discrete depths via Niskin bottles mounted on the CTD rosette at HOT (Hawaii Ocean Time Series) station HALE-ALOHA.  Station HALE-ALOHA included a physical-biogeochemical mooring to obtain continuous measurements of various atmospheric and oceanographic parameters from January 1997 to October 2000.  Time is in a separate column from date and is in GMT.

(https://hahana.soest.hawaii.edu/hot/intro.html)
DOI: 10.5281/zenodo.10676808
title: Bottle Data HOT, Station HALE ALOHA

description: This dataset contains CTD data and data from water samples collected at discrete depths via Niskin bottles mounted on the CTD rosette at HOT (Hawaii Ocean Time Series) station HALE-ALOHA.  Station HALE-ALOHA included a physical-biogeochemical mooring to obtain continuous measurements of various atmospheric and oceanographic parameters from January 1997 to October 2000.  Time is in a separate column from date and is in GMT.

(https://hahana.soest.hawaii.edu/hot/intro.html)
DOI: 10.6084/m9.figshare.25241716
title: Spatial distribution files

description: This folder contains the HIV datasets, shapefiles and figures for the spatial distribution and determinants of HIV high burden in the Southern African sub-region.
DOI: 10.5281/zenodo.10676809
title: Bottle Data HOT, Station ALOHA

description: This dataset contains CTD data and data from water samples collected at discrete depths via Niskin bottles mounted on the CTD rosette at HOT (Hawaii Ocean Time Series) station ALOHA, the primary HOT sampling site.  “Sampling at Station ALOHA typically begins with sediment trap deployment followed by a deep (> 4700 m) CTD cast and a "burst series" of at least 13 consecutive 1000 m casts, on 3-h intervals, to span the local inertial period (~ 31 h) and three semidiurnal tidal cycles. The repeated CTD casts enable us to calculate an average density profile from which variability on tidal and near-inertial time scales has been removed. These average density profiles are useful for the comparison of dynamic height and for the comparison of the depth distribution of chemical parameters from different casts and at monthly intervals. This sampling strategy is designed to assess variability on time scales of a few hours to a few years. Very high frequency variability (< 6 h) and variability on time scales of between 3-60 d are not adequately sampled with our ship-based operations. Water samples for a variety of chemical and biological measurements are routinely collected from the surface to within 10 m of the seafloor. To the extent possible, we collect samples for complementary biogeochemical measurements from the same or from contiguous casts to minimize aliasing caused by time-dependent changes in the density field. This approach is especially important for samples collected in the upper 350 m of the water column. Furthermore, we attempt to sample from common depths and specific density horizons each month to facilitate comparisons between cruises. Water samples for salinity determinations are collected from every water bottle to identify sampling errors. Approximately 20% of the water samples are collected and analyzed in duplicate or triplicate to assess and track our precision in sample analyses".  Time is in a separate column from date and is in GMT.

(https://hahana.soest.hawaii.edu/hot/intro.html)
DOI: 10.5281/zenodo.10676810
title: Bottle Data HOT, Station ALOHA

description: This dataset contains CTD data and data from water samples collected at discrete depths via Niskin bottles mounted on the CTD rosette at HOT (Hawaii Ocean Time Series) station ALOHA, the primary HOT sampling site.  “Sampling at Station ALOHA typically begins with sediment trap deployment followed by a deep (> 4700 m) CTD cast and a "burst series" of at least 13 consecutive 1000 m casts, on 3-h intervals, to span the local inertial period (~ 31 h) and three semidiurnal tidal cycles. The repeated CTD casts enable us to calculate an average density profile from which variability on tidal and near-inertial time scales has been removed. These average density profiles are useful for the comparison of dynamic height and for the comparison of the depth distribution of chemical parameters from different casts and at monthly intervals. This sampling strategy is designed to assess variability on time scales of a few hours to a few years. Very high frequency variability (< 6 h) and variability on time scales of between 3-60 d are not adequately sampled with our ship-based operations. Water samples for a variety of chemical and biological measurements are routinely collected from the surface to within 10 m of the seafloor. To the extent possible, we collect samples for complementary biogeochemical measurements from the same or from contiguous casts to minimize aliasing caused by time-dependent changes in the density field. This approach is especially important for samples collected in the upper 350 m of the water column. Furthermore, we attempt to sample from common depths and specific density horizons each month to facilitate comparisons between cruises. Water samples for salinity determinations are collected from every water bottle to identify sampling errors. Approximately 20% of the water samples are collected and analyzed in duplicate or triplicate to assess and track our precision in sample analyses".  Time is in a separate column from date and is in GMT.

(https://hahana.soest.hawaii.edu/hot/intro.html)
DOI: 10.6084/m9.figshare.25236964
title: Figure 1C

description: <b>C)</b> Distribution of the number of nuclei assigned per sample based on hashtag oligonucleotides, genotype-based method, or integrated method. Each point indicates one sample. The total number of nuclei obtained for each method is labeled on the top of the boxplot. In the boxplot, the low ends of the segment indicate the minimum and the high ends of the segment indicate the maximum. Lower bounds of the box indicate the 25<sup>th</sup> percentile and the higher bounds of the box indicate the 75<sup>th</sup> percentile. Segment in the middle is the median.
DOI: 10.6084/m9.figshare.25236964.v1
title: Figure 1C

description: <b>C)</b> Distribution of the number of nuclei assigned per sample based on hashtag oligonucleotides, genotype-based method, or integrated method. Each point indicates one sample. The total number of nuclei obtained for each method is labeled on the top of the boxplot. In the boxplot, the low ends of the segment indicate the minimum and the high ends of the segment indicate the maximum. Lower bounds of the box indicate the 25<sup>th</sup> percentile and the higher bounds of the box indicate the 75<sup>th</sup> percentile. Segment in the middle is the median.
DOI: 10.6084/m9.figshare.25236976.v1
title: Figure 3

description: <b>Figure 3.</b> <b>Tumor type-specific presence of cell types. </b>Heatmap of the proportions (%) of each cell type present in each sample. Scatter plot on the left of the heatmap indicates the median stemness level of each cell type. Horizontal tracking bars indicate the tumor type and grade of each sample. Vertical tracking bars indicate the major cell types of the nuclei. The cell types with greater than 5% are labeled within each cell. ATC: Astrocytoma; EMB: Embryonal tumors; EPN: Ependymoma; GBM: Glioblastoma; GNN: Glioneuronal/neuronal tumors; NT: Non-tumor; SCH: Schwannoma.
DOI: 10.6084/m9.figshare.25236976
title: Figure 3

description: <b>Figure 3.</b> <b>Tumor type-specific presence of cell types. </b>Heatmap of the proportions (%) of each cell type present in each sample. Scatter plot on the left of the heatmap indicates the median stemness level of each cell type. Horizontal tracking bars indicate the tumor type and grade of each sample. Vertical tracking bars indicate the major cell types of the nuclei. The cell types with greater than 5% are labeled within each cell. ATC: Astrocytoma; EMB: Embryonal tumors; EPN: Ependymoma; GBM: Glioblastoma; GNN: Glioneuronal/neuronal tumors; NT: Non-tumor; SCH: Schwannoma.
DOI: 10.6084/m9.figshare.25236979
title: Figure 4A

description: <b>Enriched pathways in neural stem cell-like cells in pediatric CNS tumors. A)</b> Differentially enriched pathways from Pathways Interaction Database (PID) in the NSC subpopulations compared to all other cell clusters in pediatric CNS tumors as identified previously. Blue points indicate statistically significantly enriched pathways at adjusted P-value threshold of 0.05. Labeled pathways indicate more commonly enriched pathways in the NSC subpopulations. Average log2 Fold Change indicates the fold change of # of cells with enriched pathways in NSCs compared to all other cell types. The few points that appear to be cut-off have -log10(adjusted P-value) of infinity as the adjusted P-values were essentially zero.
DOI: 10.6084/m9.figshare.25236979.v1
title: Figure 4A

description: <b>Enriched pathways in neural stem cell-like cells in pediatric CNS tumors. A)</b> Differentially enriched pathways from Pathways Interaction Database (PID) in the NSC subpopulations compared to all other cell clusters in pediatric CNS tumors as identified previously. Blue points indicate statistically significantly enriched pathways at adjusted P-value threshold of 0.05. Labeled pathways indicate more commonly enriched pathways in the NSC subpopulations. Average log2 Fold Change indicates the fold change of # of cells with enriched pathways in NSCs compared to all other cell types. The few points that appear to be cut-off have -log10(adjusted P-value) of infinity as the adjusted P-values were essentially zero.
DOI: 10.6084/m9.figshare.25236991
title: Figure 6B

description: Top<b> </b>Reactome pathways associated with genes commonly upregulated across all tumor types.
DOI: 10.6084/m9.figshare.25236991.v1
title: Figure 6B

description: Top<b> </b>Reactome pathways associated with genes commonly upregulated across all tumor types.
DOI: 10.6084/m9.figshare.25236994
title: Figure 6C

description: <b>C) </b>Top Reactome pathways associated with genes commonly downregulated across all tumor types.
DOI: 10.6084/m9.figshare.25236994.v1
title: Figure 6C

description: <b>C) </b>Top Reactome pathways associated with genes commonly downregulated across all tumor types.
DOI: 10.6084/m9.figshare.25241674
title: Quantitative data

description: This file corresponds to the data generated from the responses of university teachers to the questionnaires on digital competencies and implementation of hybrid education.<br>
DOI: 10.6084/m9.figshare.25241749
title: Interviews with university professors

description: For the qualitative analysis, six (6) interviews were conducted with university teachers with experience in the development of hybrid education. They were conducted during the months of June and July 2023.
DOI: 10.34740/kaggle/dsv/7652155
title: BBC News
DOI: 10.34740/kaggle/dsv/7652174
title: Polish-Ukrainian translations from Tatoeba
DOI: 10.6084/m9.figshare.25152533
title: Data : HRV in Sedentary and Trained aging horses

description: HRV in Sedentary and Trained aging horses (13 pages/file) : 11 horses/grouppage1 : 7:00-9:00page2 : 9:00-11:00page3 : 11:00-13:00page4 : 13:00-15:00page5 : 15:00-17:00page6 : 17:00-19:00page7 : 19:00-21:00page8 : 21:00-23:00page9 : 23:00-01:00page10 : 01:00-03:00page11 : 03:00-05:00page12 : Day 07:00-18:00page13 : Night 18:00-06:00
DOI: 10.6084/m9.figshare.25152533.v2
title: Data : HRV in Sedentary and Trained aging horses

description: HRV in Sedentary and Trained aging horses (13 pages/file) : 11 horses/grouppage1 : 7:00-9:00page2 : 9:00-11:00page3 : 11:00-13:00page4 : 13:00-15:00page5 : 15:00-17:00page6 : 17:00-19:00page7 : 19:00-21:00page8 : 21:00-23:00page9 : 23:00-01:00page10 : 01:00-03:00page11 : 03:00-05:00page12 : Day 07:00-18:00page13 : Night 18:00-06:00
DOI: 10.26180/24456994.v3
title: <b>Continent-wide analysis of moss diversity in Antarctica</b>

description: This study focused on investigating diversity patterns of moss diversity in Antarctica, a key taxa in local ecosystems. Limited understanding of diversity patterns and conservation efficacy prompted our investigation.This dataset includes the following items:<i>AntarcticMoss_species_with_notes.xlsx</i>: species list organised by genus, family order; species autorithy; and notes.<i>moss_species_coordinates.csv</i>: point records of Antarctica mosses (species name, and coordinates)<i>species_presence_matrix_ACBR.csv</i>: presence-absence matrix of moss presence across Antarctic Conservation Biogeographic Regions (ACBR).<i>species_presence_matrix_ASPA_final.csv: </i>presence-absence matrix of moss presence across Antarctic Specially Protected Areas (ASPA).<i>diversity_analysis.R</i>: R script to runs analysis for diversity patterns (richness, beta- and zeta-diversity), and conservation.<i>eq_rigri_richness_moss_10x10km.tif</i>: raster file of moss richness in Antarctica at 10 x 10 km resolution<br>
DOI: 10.6073/pasta/4c37ce2ccf034594fc82e442ed2140b5
title: Consumer Stocks: Fish Biomass from Everglades National Park (FCE), South Florida from February 2000 to April 2005

description: We hypothesize that standing crops of consumers reflect patterns of allochthonous nutrient transport along the estuarine interface at the Florida Coastal Everglades (FCE) LTER. Our goal is to investigate how variation in hydrology, water quality, and disturbance influence secondary production. This data set represents the numeric count data of fish, plants, and other fauna.
DOI: 10.5281/zenodo.10075405
title: Understanding the Impact of CaCl2-induced Chemical Pressure on the Phase Transition of H2O at High Pressure
DOI: 10.5281/zenodo.10075406
title: Understanding the Impact of CaCl2-induced Chemical Compression on the Phase Transition of H2O at High Pressure
DOI: 10.26179/j8wn-fz34
title: SnowMicroPen (SMP) force profiles collected during November, 2023 (event K892B) in McMurdo Sound, Antarctica.
DOI: 10.5281/zenodo.10676869
title: Sudden Unexpected Death in Epilepsy Patients (SUDEP) - a GP's role in prevention of avoidable loss of life

description: Shows number of deaths caused by epilepsy and separately asthma for 2017 in Australia

World Health Organisation data sets are available from https://platform.who.int/mortality/themes/theme-details/topics/indicator-groups/indicator-group-details/MDB/asthma, https://platform.who.int/mortality/themes/theme-details/topics/indicator-groups/indicator-group-details/MDB/epilepsy
DOI: 10.5281/zenodo.10676870
title: Sudden Unexpected Death in Epilepsy Patients (SUDEP) - a GP's role in prevention of avoidable loss of life

description: Shows number of deaths caused by epilepsy and separately asthma for 2017 in Australia

World Health Organisation data sets are available from https://platform.who.int/mortality/themes/theme-details/topics/indicator-groups/indicator-group-details/MDB/asthma, https://platform.who.int/mortality/themes/theme-details/topics/indicator-groups/indicator-group-details/MDB/epilepsy
DOI: 10.6084/m9.figshare.25129247
title: <b>A Ce-CuZn catalyst with abundant </b><b>Cu/Zn-O</b><sub><strong>V</strong></sub><b>-Ce</b><b> active sites for CO</b><sub><strong>2</strong></sub><b> hydrogenation to methanol</b>

description: CO<sub>2</sub> hydrogenation to chemicals and fuels is a significant approach for achieving carbon neutrality. It is essential to rationally design the chemical structure and catalytic active sites towards the development of efficient catalysts. Here we show a Ce-CuZn catalyst with enriched Cu/Zn-O<sub>V</sub>-Ce active sites fabricated through the atomic-level substitution of Cu and Zn into Ce-MOF precursor. The Ce-CuZn catalyst exhibits a high methanol selectivity of 71.1% and a space-time yield of methanol up to 400.3 g·kg<sub>cat</sub><sup>-1</sup>·h<sup>-1</sup> with excellent stability for 170 h at 260 °C, comparable to that of the state-of-the-art CuZnAl catalysts. Controlled experiments and DFT calculations confirm that the incorporation of Cu and Zn into CeO<sub>2</sub> with abundant oxygen vacancies can facilitate H<sub>2</sub> dissociation energetically and thus improve CO<sub>2</sub> hydrogenation over the Ce-CuZn catalyst via formate intermediates. This work offers an atomic-level design strategy for constructing efficient multi-metal catalysts for methanol synthesis through control of active sites.
DOI: 10.6084/m9.figshare.25241446
title: Untitled Item

description: cccccc
DOI: 10.6084/m9.figshare.25241446.v1
title: Untitled Item

description: cccccc
DOI: 10.5517/ccdc.csd.cc2f3ltz
title: CCDC 2237791: Experimental Crystal Structure Determination

description: Related Article: Xingwei Cai, Danli Ding, Shangxun Zhao, Shuo Wen, Guihong Zhang, Pengtao Bai, Wenjing Zhang, Heng Song, Chen Xu|2023|Inorg.Chem.|63|2313|doi:10.1021/acs.inorgchem.3c03197
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.cc2f3lv0
title: CCDC 2237792: Experimental Crystal Structure Determination

description: Related Article: Xingwei Cai, Danli Ding, Shangxun Zhao, Shuo Wen, Guihong Zhang, Pengtao Bai, Wenjing Zhang, Heng Song, Chen Xu|2023|Inorg.Chem.|63|2313|doi:10.1021/acs.inorgchem.3c03197
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.cc2f3m17
title: CCDC 2237798: Experimental Crystal Structure Determination

description: Related Article: Xingwei Cai, Danli Ding, Shangxun Zhao, Shuo Wen, Guihong Zhang, Pengtao Bai, Wenjing Zhang, Heng Song, Chen Xu|2023|Inorg.Chem.|63|2313|doi:10.1021/acs.inorgchem.3c03197
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: 10.34740/kaggle/dsv/7652346
title: WallStreetBets 2022