cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccvzbpt
title: CCDC 803727: Experimental Crystal Structure Determination

description: Related Article: A.Mesbah, B.Malaman, T.Mazet, R.Sibille, M.Francois|2010|CrystEngComm|12|3126|doi:10.1039/b926144c
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/ccvzbqv
title: CCDC 803728: Experimental Crystal Structure Determination

description: Related Article: A.Mesbah, B.Malaman, T.Mazet, R.Sibille, M.Francois|2010|CrystEngComm|12|3126|doi:10.1039/b926144c
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/cctpxft
title: CCDC 765837: Experimental Crystal Structure Determination

description: Related Article: R.A.Peralta, A.J.Bortoluzzi, B.Szpoganicz, T.A.S.Brandao, E.E.Castellano, M.B.de Oliveira, P.C.Severino, H.Terenzi, A.Neves|2010|J.Phys.Org.Chem.|23|1000|doi:10.1002/poc.1779
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/ccvzbrw
title: CCDC 803729: Experimental Crystal Structure Determination

description: Related Article: A.Mesbah, B.Malaman, T.Mazet, R.Sibille, M.Francois|2010|CrystEngComm|12|3126|doi:10.1039/b926144c
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/cctpxgv
title: CCDC 765838: Experimental Crystal Structure Determination

description: Related Article: R.A.Peralta, A.J.Bortoluzzi, B.Szpoganicz, T.A.S.Brandao, E.E.Castellano, M.B.de Oliveira, P.C.Severino, H.Terenzi, A.Neves|2010|J.Phys.Org.Chem.|23|1000|doi:10.1002/poc.1779
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/ccr7y52
title: CCDC 692824: Experimental Crystal Structure Determination

description: Related Article: H.H.Monfared, A.-C.Chamayou, S.Khajeh, C.Janiak|2010|CrystEngComm|12|3526|doi:10.1039/c0ce00041h
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/cctpxhw
title: CCDC 765839: Experimental Crystal Structure Determination

description: Related Article: R.A.Peralta, A.J.Bortoluzzi, B.Szpoganicz, T.A.S.Brandao, E.E.Castellano, M.B.de Oliveira, P.C.Severino, H.Terenzi, A.Neves|2010|J.Phys.Org.Chem.|23|1000|doi:10.1002/poc.1779
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/cctx0tj
title: CCDC 771708: Experimental Crystal Structure Determination

description: Related Article: H.H.Monfared, A.-C.Chamayou, S.Khajeh, C.Janiak|2010|CrystEngComm|12|3526|doi:10.1039/c0ce00041h
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/cctx0vk
title: CCDC 771709: Experimental Crystal Structure Determination

description: Related Article: H.H.Monfared, A.-C.Chamayou, S.Khajeh, C.Janiak|2010|CrystEngComm|12|3526|doi:10.1039/c0ce00041h
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/cctblpd
title: CCDC 754964: Experimental Crystal Structure Determination

description: Related Article: M.Watanabe, K.Goto, M.Fujitsuka, S.Tojo, T.Majima, T.Shinmyozu|2010|Bull.Chem.Soc.Jpn.|83|1155|doi:10.1246/bcsj.20100085
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: 10.26023/95h5-7m3d-yf0m
title: SAS: CU CIMS HO2, HO2+RO2. Version 1.0

description: This data set contains CU CIMS perhydroxyl radical (HO2), HO2+RO2 data collected during the Southeast Atmosphere Study (SAS) from 30 May 2013 through 17 July 2013. These data were collected using our 4-channel CIMS instrument. An inlet collects ambient air from the free air stream and adds reagents, including oxygen (O2) or nitrogen gas (N2) diluents, and nitric oxide (NO) and sulfur dioxide (SO2) reagent gases. As of 27 October 2014, flights RF06, RF12, RF13, RF14, RF18, RF19 have been updated to R3 version of the data. The files for flights RF08, RF10, RF11, RF15, RF16, RF17 contain R2 data. The R2 files incorrectly show the data time column as MST but should be UTC. There are no data for flights RF01 - 05, RF07, and RF09. This data set is in ICARTT format. Please see the header portion of the data files for details on instruments, parameters, quality assurance, quality control, contact information, and data set comments.
DOI: 10.15468/dl.uaue3h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alnus alnobetula",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043646-250920141307145/datasets/export for details.
DOI: 10.15468/dl.w8hfxg
title: Occurrence Download

description: A dataset containing 1757 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Metaxya",
 "Year is greater than or equal to 1980",
 "Geometry POLYGON((-120 30, -30 30, -30 -30, -120 -30, -120 30))"
 ]
}

 The dataset includes 1757 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043647-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1090498
title: Site Data from Trial Trench Evaluation at Sketchley Lane, Sketchley, Leicestershire October 2019

description: This collection comprises images, reports, site records, spreadsheets and GIS data from trial trench evaluation at Sketchley Lane, Sketchley, Leicestershire. This work was undertaken by Oxford Archaeology between the 21st and the 31st of October 2019 to inform a planning application for a mixed commercial and residential development.
DOI: 10.15468/dl.n6e5f9
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "TaxonKey is Senna undulata"
 ]
}

 The dataset includes 64 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043648-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/4p17-z0px-ts0r
title: SAS: CU Fluorescence SO2. Version 1.0

description: This data set contains CU Fluorescence SO2 (sulfur dioxide) data collected aboard the NSF/NCAR C-130 aircraft during the Southeast Atmosphere Study (SAS) from 3 June 2013 through 14 July 2013. These data were collected using the C.U. Thermo Electron Corp. SO2 monitor and are presented as 10 second averages. This data set is in ICARTT format. Please see the header portion of the data files for details on instruments, parameters, quality assurance, quality control, contact information, and data set comments.
DOI: 10.26023/a58c-ef19-a80v
title: SAS: CU CIMS OH, H2SO4, sCIs. Version 1.0

description: This data set contains CU CIMS hydroxide (OH), sulfuric acid (H2SO4), stabilized Criegee intermediates (sCIs), and methanesulfonic acid (MSA) concentrations data collected aboard the NSF/NCAR C-130 aircraft during the Southeast Atmosphere Study (SAS) from 22 June 2013 through 12 July 2013. These data were collected using a CIMS based instrument that is part of the Cantrell/Mauldin HOx CIMS instrument and are presented as 30 second averages. These data have been filtered for unacceptable noise or other ancillary parameters, however there still may be some outlying points. These data have been reduced with an altitude dependent calibration coefficient measured during the study. Because the calibration measurements are sparse, a larger uncertainty is given. This data set is in ICARTT format. Please see the header portion of the data files for details on instruments, parameters, quality assurance, quality control, contact information, and data set comments.
DOI: 10.5281/zenodo.16052944
title: Figure-ground segmentation of natural scenes

description: This repository contains high precision manual figure-ground annotations and category labels for a set of frame sequences and static images of natural scenes. These annotations were used to analyze figure-ground motion and depth statistics in the manuscript:

Statistical regularities in natural scenes that support figure-ground segregation by neuronal populationsClara T. Friedman, Minqi Wang, Thomas Yerxa, Bryce A. Arseneau, Xin Huang, and Emily A. CooperPLOS Computational Biology

The annotations are separated into 2 datasets: Motion and Distance. The Motion dataset was collected new as part of this project and then video frames were annotated. The Distance dataset contains selected scenes from the UT Austin Natural Image Database. These scenes were selected because they have co-registered range measurements (see README in DataSets folder for more info). 

This repository contains the following folders stored as zip files:

- Annotations: Segmentation masks for all frames and images. - DataSets: The raw frames in the Motion dataset, and instructions and metadata for downloading the Distance dataset from UT Austin.- Visuals: Visualizations of the annotations superimposed on the images, distance maps, and optic flow computed from the frames.- InterimFiles: Saved results from interim analysis steps in the associated Github code repository. These files can be used to skip over time-intensive processes steps and to use the original optic flows computed from raw video frames (instead of the anonmized frames included herein). Analysis code can be found at https://github.com/eacooper/FigureGround
DOI: 10.5281/zenodo.16052945
title: Figure-ground segmentation of natural scenes

description: This repository contains high precision manual figure-ground annotations and category labels for a set of frame sequences and static images of natural scenes. These annotations were used to analyze figure-ground motion and depth statistics in the manuscript:

Statistical regularities in natural scenes that support figure-ground segregation by neuronal populationsClara T. Friedman, Minqi Wang, Thomas Yerxa, Bryce A. Arseneau, Xin Huang, and Emily A. CooperPLOS Computational Biology

The annotations are separated into 2 datasets: Motion and Distance. The Motion dataset was collected new as part of this project and then video frames were annotated. The Distance dataset contains selected scenes from the UT Austin Natural Image Database. These scenes were selected because they have co-registered range measurements (see README in DataSets folder for more info). 

This repository contains the following folders stored as zip files:

- Annotations: Segmentation masks for all frames and images. - DataSets: The raw frames in the Motion dataset, and instructions and metadata for downloading the Distance dataset from UT Austin.- Visuals: Visualizations of the annotations superimposed on the images, distance maps, and optic flow computed from the frames.- InterimFiles: Saved results from interim analysis steps in the associated Github code repository. These files can be used to skip over time-intensive processes steps and to use the original optic flows computed from raw video frames (instead of the anonmized frames included herein). Analysis code can be found at https://github.com/eacooper/FigureGround
DOI: 10.5284/1133088
title: Digital Archive from an Archaeological Evaluation at St Mary's Church, Church Road, Rivenhall, Essex, April 2024

description: This collection consists of images, site records, a report and a vector graphic from an archaeological evaluation (three trial-trenches) by Colchester Archaeological Trust. Work occurred at St Mary's Church, Rivenhall, in April 2024. Some 24 burials, mostly of children and infants and likely dating to the medieval or post-medieval period, were recorded during the evaluation and left in situ.
DOI: 10.15468/dl.2mr5kq
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alnus rugosa",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 21 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043650-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/zb1e-81hv-zf0r
title: SAS: Purdue University Beechcraft 76 Duchess Picarro Cavity Ring-Down CO2/CH4 Spectrometer Data. Version 1.0

description: This data set contains methane (CH4), carbon dioxide (CO2), and H2O data from the Picarro Cavity Ring-Down CO2/CH4 Spectrometer taken aboard the Airborne Laboratory Atmospheric Research (ALAR) Beechcraft Duchess aircraft as part of the Southern Oxidant & Aerosol Study (SOAS) from 10 June 2013 to 29 June 2013. These data are provided by Purdue University and are in ICARTT format.
DOI: 10.15468/dl.sge6zs
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alnus rugosa",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043652-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.89nnaf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alnus rugosa",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043651-250920141307145/datasets/export for details.
DOI: 10.26023/cxe0-2crf-qv09
title: SAS: Purdue University Beechcraft 76 Duchess Best Air Turbulence Probe Data. Version 1.0

description: This data set contains location, wind and temperature data using the Best Air Turbulence (BAT) probe on the nose of the Airborne Laboratory Atmospheric Research (ALAR) Beechcraft Duchess aircraft as part of the Southern Oxidant & Aerosol Study (SOAS) from 10 June 2013 to 29 June 2013. The location and wind data are in degrees, the altitude data are in meters, the wind data are in meters/second, and the potential temperature is in kelvin. Missing data is due to instrument not collecting data. These data are provided by Purdue University and are in ICARTT format.
DOI: 10.15468/dl.qrze6b
title: Occurrence Download

description: A dataset containing 3163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Saccoloma",
 "Year is greater than or equal to 1980",
 "Geometry POLYGON((-120 30, -30 30, -30 -30, -120 -30, -120 30))"
 ]
}

 The dataset includes 3163 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043653-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5255/ukda-sn-858052
title: Why Learners Privilege Word-Order Over Case-Marking: A Cross-Linguistic Meta-Analysis, New Data From Estonian, Finnish and Polish, And a Discriminative Learning Model. Psychological Review, 2019-2025

description: Language acquisition is one of the crowning achievements of our species; though a long-standing and unresolved question is why many learners struggle with a particular core and fundamental sentence type. In English, a two-participant sentence like The dog chased the cat can mean only one thing. But in many languages worldwide, the meaning of the sentence can be flipped (e.g., to “the cat chased the dog”) even while the word-order stays the same, by the use of case-marked nouns (e.g., cat + NOMINATIVE, dog + ACCUSATIVE). 

First (Study 1), we confirm using meta-analysis that, across 21 languages, children show a significant disadvantage for noncanonical (“flipped”) versus canonical (“unflipped”) sentences (Cohen’s d = 0.69, SE = 0.09). 

Second (Study 2), we demonstrate with a new comprehension study of 3- to 6-year-old native learners of Estonian (N = 87), Finnish (N = 83), and Polish (N = 82) that this effect is not due to (a) lack of knowledge of individual inflected words, (b) lack of linguistic context, (c) use of still pictures as opposed to animations, or (d) a focus on relatively young children. 

Third (Study 3), we show that this effect falls naturally out of a simple discriminative-learning model, in which the cue of case-marking struggles to compete with the more frequently available cue of word-order to predict which noun (e.g., dog and cat) is the AGENT (e.g., the chaser), and which the PATIENT (e.g., the one chased). Together, these findings demonstrate that languages which, on the surface, appear to be very different are learned in a similar way: by discriminating cues to meaning.
DOI: 10.15468/dl.s8kxye
title: Occurrence Download

description: A dataset containing 63528 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 Aedes aegypti"
 ]
}

 The dataset includes 63528 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043608-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/jy8y-r01e-cp04
title: SAS: Merged Data Files containing all C-130 1 Minute Observations. Version 1.0

description: This dataset consists of 1-minute merged data from the 19 research flights with the C-130 over the Southeast U.S. between June 1 and July 15, 2013, as part of the Southeast Atmosphere Study (SAS). Merged data files have been created, combining all observations on the C-130 to a common time base for each flight. Version R5 (created Jan 21, 2015) of the merges includes all data available as of Jan 12. Time is midpoint of 60-sec average; Any measurement that overlaps the 60-sec window is included in the average; no limit on the length of overlap; weighted average is performed.
DOI: 10.25345/c5bz61n4d
title: MassIVE MSV000099370 - Untargeted HRLC-HRMS/MS metabolomics data (ESI-) of fungal strains from the order Hypocreales
title: Untargeted HRLC-HRMS/MS metabolomics data (ESI-) from a collection of 82 fungal strains belonging to the order Hypocreales, with 5 Xylariales strains included as outgroup
DOI: 10.26023/9s39-qxdn-vs06
title: NOAA/ESRL MADIS Mesonet Data. Version 1.0

description: This dataset contains data from the NOAA Earth System Research Laboratory/Global Systems Division (ESRL/GSD) Meteorological Assimilation Data Ingest System (MADIS). The data are in netCDF format. More information on this dataset can be found at the MADIS website This dataset is provided "as-is". It has not been quality controlled by the National Center for Atmospheric Research/Earth Observing Lab (NCAR/EOL).
DOI: 10.22002/gaaps-axj72
title: Demonstration data and code: A guide to D-SPIN

description: D-SPIN (Dimension-scalable Single-cell Perturbation Integration Network) is a computational framework for constructing regulatory network models from large-scale single-cell perturbation data. D-SPIN models the transcriptional state of cells as a set of individual genes or gene programs that interact through a condition-dependent spin network model or Markov random field. A single unified network is learned across multiple conditions, where the perturbations modulate the activity of individual network nodes. The architecture allows information integration between different perturbation conditions and supports efficient inference algorithms that scale to thousands of genes, thousands of conditions, and millions of single cells. For interpretability, D-SPIN can also operate at the level of programs of co-expressing genes sets, which are extracted via unsupervised orthogonal non-negative matrix factorization (oNMF). Here we present the theory and detailed procedures for applying D-SPIN to build program-level or gene-level network models from single-cell data. With a public immune dictionary dataset, we illustrate multiple applications of D-SPIN, including identifying gene programs and network modules, classifying perturbation responses of cytokines, and nominating key regulators that mediate cytokine responses.
DOI: 10.15468/dl.gr3dpf
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cruciata laevipes",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043657-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/jxeb-g428-ne0j
title: NAVY NOGAPS Global Grids. Version 1.0

description: This dataset contains NAVY/NOGAPS global grid model data. The files are located on the mass store system and are very large. The files contain 12 hour data and can only be ordered one file at a time.