cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4454549
title: Coin Image Dataset

description: <strong>Description</strong> The coin image dataset is a dataset of 60 classes of Roman Republican coins. Each class is represented by three coin images of the reverse side acquired at Coin Cabinet of the Museum of Fine Arts in Vienna, Austria. The dataset has been used for evaluation in [1]. <strong>Usage</strong> The dataset is freely available for non-commercial research use. Please be aware that the image rights belong to the Museum of Fine Arts in Vienna, Austria. Please also cite our paper [1] when using the dataset for your research. <strong>Technical Details</strong> The image filenames have the following syntax: class[classid]_image[1-3].png<br> The dataset also contains a CSV-file “classes.csv” which maps the class-IDs to the reference numbers defined by Crawford’s standard reference book [2]. References [1] Zambanini S., Kampel M. “Coarse-to-Fine Correspondence Search for Classifying Ancient Coins“, <em>2nd ACCV Workshop on e-Heritage</em>, pp. 25-36, Daejeon, South Korea, November 2012. (pdf) [2] Crawford, M.H.: “Roman Republican Coinage”, 2 vols., Cambridge University Press, 1974.
DOI: 10.5281/zenodo.4671025
title: Dataset Film IMDB

description: Dataset correspondiente al ranking de las mejores 250 películas según IMDB web, con la información más relevante de las mismas
DOI: 10.5281/zenodo.62026
title: Md Simulation Trajectory Of A Lipid Bilayer: 70/30 Mol% Popc/Cholesterol . Slipids, Gromacs 4.6.3. 2016.

description: MD simulation trajectory files, for fully hydrated POPC + CHOLESTEROL bilayer (70/30 mol%) [358 POPC, 154 CHOL, 21183 WAT]. The SLIPIDS force field was used with Gromacs 4.6.3. Conditions: T=298K. 170 ns each trajectory, last 100 ns analyzed.
DOI: 10.5281/zenodo.6326494
title: SHEBA CPI iamges

description: CPI images collected during the NCAR C-130 research flight on 7 May 1998 over the SHEBA campaign site (for details, please see Fridlind et al. 2012).
DOI: 10.1594/pangaea.835784
title: Pollen profile BUS8707, Bodensee-Untersee, Germany

description: This dataset was archived on 2014-09-12 from the EPD database (http://www.europeanpollendatabase.net).
DOI: 10.5281/zenodo.4485689
title: The "Castelluccio-Amatrice" low-angle normal fault seismic dataset

description: Seismology data (from INGV database) for idetification the geometry of “Castelluccio-Amatrice” low-angle normal fault. The seismic data are the same of central Italy sesmic sequence in 2014-2017 period.
description: Balocchi P., Riga G. (2018); The 2016 central Italy seismic sequence and the "Castelluccio-Amatrice" low-angle normal fault. Atti Soc. Nat. Mat. di Modena, 149, pp. 123-134.
DOI: 10.5281/zenodo.6638573
title: 多组学数据整合分析显示皮肤衰老过程中免疫微环境的改变特征

description: 与《多组学数据整合分析显示皮肤衰老过程中免疫微环境的改变特征》相关的附表信息。
DOI: 10.5281/zenodo.56429
title: Microblogging Violent Attacks On Medical Staff: A Case Study Of The Longmen County People’S Hospital Incident, An Indication Of A Health Care Crisis In China

description: A violent attack on medical staff in Guangdong Province, in which a female doctor at Longmen County People’s Hospital (LCPH) was severely injured by a knife-wielding patient, has drawn significant public attention to the phenomenon of hospital violence and initiated discussions on how to resolve violence in hospitals. Social networking sites, such as Sina Weibo, a Chinese version of Twitter, have played a role in this public debate. The incident at LCPH provides an opportunity to examine how Weibo has been used in the debate about violence against medical staff in China. Using the Sina Weibo’s built-in search tool, we established a dataset of 661 Chinese-language micro-blogs containing the search terms: Longmen (“龙门”), doctor (“医生”), and slash (“砍”) that were posted between July 15, 2015, the date of the violent incident at LCPH, and August 15, 2015. We performed a content analysis of the micro-blogs to examine: users’ demographics, attitudes toward the injured doctor and the attacker, possible reasons for the hospital violence, and proposed measures for preventing doctors from violent incidents.
DOI: 10.5281/zenodo.6536385
title: The data for the article entitled "Nitrogen deposition drives response and recovery to precipitation change and its reversal in an arid ecosystem""

description: <strong>Title:</strong> Nitrogen deposition drives response and recovery to precipitation change and its reversal in an arid ecosystem Yu et al. <strong>Abbreviations:</strong> Yr, Years DEP, Soil depths NIT , Nitrogen (N) treatment PRE, Precipitation treatment BLO, Blocks ANPP, Aboveground net primary production <em>S,</em> Richness, Plant species richness <em>H'</em>, Shannon-Wiener index <em>J'</em>, Plant species evenness fBNPP soil ammonium nitrogen BNPP Belowground net primary production SIC, Soil inorganic carbon SOC, Soil organic carbon TC, Soil total carbon PH, pH values MBC, Soil microbial biomass carbon MBN, Soil microbial biomass nitrogen Precipitation treatments had five levels: in 2018, 1. 50% addition (+50%); 2. 25% addition (+25%); 3. ambient precipitation (CK); 4. 25% reduction (-25%); 5. 50% reduction (-50%) in 2018. In 2019, the precipitation treatments were reversed: 1. 50% reduction (-50%); 2. 25% reduction (-25%); 3. ambient precipitation (CK); 4. 25% addition (+25%); 50% addition (+50%). Nitrogen treatments had two levels: 1. N elevated by 10 g m<sup>-2 </sup>yr<sup>-1</sup>; 2. ambient N (no N addition). Soil depths had two levels: 1. 0–10 cm soil layer; 2. 10–20 cm soil layers. Document 1: Data on plant community traits. Document 2: Data on soil features.
DOI: 10.5281/zenodo.4734592
title: STFLNDVI: A long-term 1km NDVI time series since 1982 by fusing MODIS and AVHRR products

description: A global long-term NDVI dataset is generated since 1982 through fusing MODIS and AVHRR products, with a spatial resolution of 1km and monthly intervals. This dataset can be regarded as a backward extension of the 1km MODIS observations with consistent data characteristics. It is provided using the standardized MODIS sinusoidal grid with the same geographic projection, with the data format of TIFF images. Users can search the interest regions using the MODIS tile number, i.e., ‘h*v*’. The time-series NDVI from 1982 to 1999 are provided in one compressing ZIP file, with the size of about 600M memory after uncompressing into the TIFF format (*.tif). The compressing ZIP files are named using the MODIS tile number, i.e., ‘h*v*.zip’. After uncompressing into the TIFF format, the files are named as “Fusion.MOD.Tile Number.Year Month.tif”. Such as the file name “Fusion.MOD.h07v03.198201.tif” means it is the 1km NDVI for regions of the MODIS h07v03 grids in January of 1982. The spatial distribution and temporal variation of this dataset have been both well validated by the simulated and real-data experiments. The detailed information can be found in the published paper.
DOI: 10.5281/zenodo.2530146
title: Novel gene regulatory networks identified in response to nitro-conjugated linoleic acid in human endothelial cells

description: A distinct transcriptome regulated by NO<sub>2-</sub>CLA was revealed in primary human coronary artery endothelial cells (HCAECs) through RNA sequencing.
DOI: 10.5281/zenodo.5636045
title: Data and plotting code for 'Many-body-localized discrete time crystal with a programmable spin-based quantum simulator'

description: Underlying data and plotting for the publication: "Many-body-localized discrete time crystal with a programmable spin-based quantum simulator", J. Randall et al., 2021. This directory contains: - “Data_analysis.ipynb”: The master Jupyter notebook from which all plots produced in the main text and supplementary materials can be reproduced.<br> - “Data.zip”: A zipped folder containing the json files as loaded within “Data_analysis.ipynb”. These files contain the underlying x, y, and, where appropriate, y error values for each corresponding plot. The notebook should be executed using python3.
DOI: 10.5281/zenodo.6865509
title: Responses of a semiarid grassland to recurrent drought is linked to community functional composition

description: Climate change-driven increases in the frequency of extreme droughts could negatively impact the functioning of grassland ecosystems. While several studies have documented the impact of individual droughts on grassland function, less is known about how grasslands will respond to recurrent drought. We conducted a repeated extreme drought experiment in a semiarid grassland that consisted of three stages: (1) initial drought, (2) recovery, and (3) subsequent drought. We measured aboveground net primary productivity (ANPP), species richness, plant functional traits, and functional diversity. Using structural equation modeling (SEM), we investigated the causal mechanisms of ANPP response to recurrent drought. The initial drought led to reduced ANPP, although this was driven by a differential reduction in the growth of grasses and forbs. Total ANPP completely recovered as the rapid recovery of grass productivity compensated for the slow recovery of forb productivity. The magnitude of ANPP responses to the subsequent drought was greater than the initial drought. The SEMs revealed that soil moisture influenced ANPP responses directly during the initial drought, and indirectly during the subsequent drought by altering community functional trait means and diversity during the subsequent drought. These differential mechanisms alter our fundamental understanding of ecosystem drought sensitivity, which is primarily based on single drought studies.
DOI: 10.5281/zenodo.4734593
title: STFLNDVI: A long-term 1km NDVI time series since 1982 by fusing MODIS and AVHRR products

description: A global long-term NDVI dataset is generated since 1982 through fusing MODIS and AVHRR products, with a spatial resolution of 1km and monthly intervals. This dataset can be regarded as a backward extension of the 1km MODIS observations with consistent data characteristics. It is provided using the standardized MODIS sinusoidal grid with the same geographic projection, with the data format of TIFF images. Users can search the interest regions using the MODIS tile number, i.e., ‘h*v*’. The time-series NDVI from 1982 to 1999 are provided in one compressing ZIP file, with the size of about 600M memory after uncompressing into the TIFF format (*.tif). The compressing ZIP files are named using the MODIS tile number, i.e., ‘h*v*.zip’. After uncompressing into the TIFF format, the files are named as “Fusion.MOD.Tile Number.Year Month.tif”. Such as the file name “Fusion.MOD.h07v03.198201.tif” means it is the 1km NDVI for regions of the MODIS h07v03 grids in January of 1982. The spatial distribution and temporal variation of this dataset have been both well validated by the simulated and real-data experiments. The detailed information can be found in the published paper.
DOI: 10.5281/zenodo.3945563
title: The PM2.5 content in heavily polluted areas of China

description: PM2.5 data from 483 sites in heavily polluted areas of China from 2015 to 2020.
DOI: 10.57760/sciencedb.07300
title: Test-yzy-shareLink
title: Test-yzy-shareLink

description: • If necessary, please properly explain whether there is error in the data, the error range or the reason for introducing the error (if applicable); • The content of each data file and its description information (if applicable); • If the format of the data file you submit is relatively small, please explain the applicable software, the official download address of the software and other information (if applicable). The above suggestions are for reference only. In case of any omission, the author is also requested to supplement and improve your data set introduction. Your dataset profile should be organized and submitted in the form of one or more natural segments. Please do not answer the above questions one by one in the form of question and answer.
description: • If necessary, please properly explain whether there is error in the data, the error range or the reason for introducing the error (if applicable); • The content of each data file and its description information (if applicable); • If the format of the data file you submit is relatively small, please explain the applicable software, the official download address of the software and other information (if applicable). The above suggestions are for reference only. In case of any omission, the author is also requested to supplement and improve your data set introduction. Your dataset profile should be organized and submitted in the form of one or more natural segments. Please do not answer the above questions one by one in the form of question and answer.
DOI: 10.57760/sciencedb.o00124.00002
title: 1
title: 1

description: test
description: test
DOI: 10.15468/dl.c7cqbx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.942181 -33.907605, 148.944426 -33.907605, 148.944426 -33.909851, 148.948918 -33.909851, 148.948918 -33.903114, 148.942181 -33.903114, 148.942181 -33.907605)), ((148.942181 -33.907605, 148.939935 -33.907605, 148.939935 -33.909851, 148.942181 -33.909851, 148.942181 -33.907605)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050361-240626123714530/datasets/export for details.
DOI: 10.15468/dl.5j25zg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((146.121457 -36.67443, 146.121457 -36.676675, 146.125949 -36.676675, 146.125949 -36.67443, 146.121457 -36.67443))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050360-240626123714530/datasets/export for details.
DOI: 10.15468/dl.98njgy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((146.184339 -36.67443, 146.184339 -36.676675, 146.188831 -36.676675, 146.188831 -36.67443, 146.184339 -36.67443))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050364-240626123714530/datasets/export for details.
DOI: 10.15468/dl.xmd5x8
title: Occurrence Download

description: A dataset containing 404 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.998326 -33.914343, 149.005063 -33.914343, 149.005063 -33.909851, 149.002817 -33.909851, 149.002817 -33.903114, 149.009554 -33.903114, 149.009554 -33.907605, 149.018538 -33.907605, 149.018538 -33.909851, 149.020783 -33.909851, 149.020783 -33.907605, 149.025275 -33.907605, 149.025275 -33.905359, 149.027521 -33.905359, 149.027521 -33.903114, 149.029767 -33.903114, 149.029767 -33.898622, 149.034258 -33.898622, 149.034258 -33.905359, 149.040996 -33.905359, 149.040996 -33.900868, 149.043241 -33.900868, 149.043241 -33.898622, 149.040996 -33.898622, 149.040996 -33.89413, 149.029767 -33.89413, 149.029767 -33.885147, 149.032012 -33.885147, 149.032012 -33.880656, 149.034258 -33.880656, 149.034258 -33.87841, 149.014046 -33.87841, 149.014046 -33.885147, 149.005063 -33.885147, 149.005063 -33.876164, 149.002817 -33.876164, 149.002817 -33.869427, 149.005063 -33.869427, 149.005063 -33.860443, 148.99608 -33.860443, 148.99608 -33.869427, 148.973622 -33.869427, 148.973622 -33.871672, 148.975868 -33.871672, 148.975868 -33.876164, 148.982605 -33.876164, 148.982605 -33.871672, 148.989342 -33.871672, 148.989342 -33.885147, 148.99608 -33.885147, 148.99608 -33.887393, 148.993834 -33.887393, 148.993834 -33.891885, 148.989342 -33.891885, 148.989342 -33.903114, 148.982605 -33.903114, 148.982605 -33.905359, 148.984851 -33.905359, 148.984851 -33.907605, 148.987097 -33.907605, 148.987097 -33.909851, 148.989342 -33.909851, 148.989342 -33.914343, 148.993834 -33.914343, 148.993834 -33.918834, 148.99608 -33.918834, 148.99608 -33.92108, 148.998326 -33.92108, 148.998326 -33.918834, 149.002817 -33.918834, 149.002817 -33.916588, 148.998326 -33.916588, 148.998326 -33.914343), (148.99608 -33.909851, 148.998326 -33.909851, 148.998326 -33.914343, 148.99608 -33.914343, 148.99608 -33.909851))"
 ]
}

 The dataset includes 404 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050365-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gkz8c3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.942181 -36.67443, 148.942181 -36.678921, 148.948918 -36.678921, 148.948918 -36.683413, 148.960147 -36.683413, 148.960147 -36.67443, 148.942181 -36.67443))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050366-240626123714530/datasets/export for details.
DOI: 10.15468/dl.7wve2m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.058962 -33.903114, 149.058962 -33.907605, 149.056716 -33.907605, 149.056716 -33.914343, 149.063454 -33.914343, 149.063454 -33.903114, 149.058962 -33.903114))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050367-240626123714530/datasets/export for details.
DOI: 10.25919/zryh-4468
title: PdCo Nanoparticle Data Set

description: This is a set of 138839 palladium-cobalt (PdCo) nanoparticle FINAL CONFIGURATIONS, for use in data-driven studies. These structures have been optimised (fully relaxed) using molecular dynamics with an embedded atom (EAM) interatomic potential, at various temperatures. 
All files are in XYZ format, and the naming convention is defined in the accompanying CSV file that lists all of the structural features and property indicators (see Supporting Attachments). 
Sizes range from 105 atoms to 4718 atoms, with both crystalline and non-crystalline configurations and regions. Each nanoparticle has been characterised using a variety of topological features, including size, lattice structure, surface curvature, and several order parameters. The final 2 columns are target labels, providing the total energy and the excess formation energy. Links to publications describing these property labels are provided in the meta data. Other features can also be used as labels as desired.
Note that the elemental order in the dataset title correspond to structurally distinct sets as documented in the methodology file.
DOI: 10.15468/dl.kurry8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((149.139811 -36.67443, 149.142057 -36.67443, 149.142057 -36.669938, 149.139811 -36.669938, 149.139811 -36.67443)), ((149.139811 -36.67443, 149.135319 -36.67443, 149.135319 -36.678921, 149.137565 -36.678921, 149.137565 -36.681167, 149.142057 -36.681167, 149.142057 -36.676675, 149.139811 -36.676675, 149.139811 -36.67443)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050368-240626123714530/datasets/export for details.
DOI: 10.15468/dl.f354m2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.975868 -33.907605, 148.975868 -33.909851, 148.980359 -33.909851, 148.980359 -33.907605, 148.975868 -33.907605))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050369-240626123714530/datasets/export for details.
DOI: 10.15468/dl.ebbskc
title: Occurrence Download

description: A dataset containing 21839 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is RBINS Mammal collection",
 "Issue is Geodetic datum assumed WGS84",
 "TaxonKey is Rodentia"
 ]
}

 The dataset includes 21839 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050370-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hbmw8d
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((149.254347 -36.67443, 149.254347 -36.676675, 149.256592 -36.676675, 149.256592 -36.678921, 149.258838 -36.678921, 149.258838 -36.683413, 149.272313 -36.683413, 149.272313 -36.676675, 149.281296 -36.676675, 149.281296 -36.67443, 149.254347 -36.67443)), ((149.258838 -36.683413, 149.256592 -36.683413, 149.256592 -36.685659, 149.258838 -36.685659, 149.258838 -36.683413)), ((149.281296 -36.676675, 149.281296 -36.683413, 149.285788 -36.683413, 149.285788 -36.685659, 149.290279 -36.685659, 149.290279 -36.67443, 149.288034 -36.67443, 149.288034 -36.676675, 149.281296 -36.676675)), ((149.290279 -36.685659, 149.290279 -36.69015, 149.294771 -36.69015, 149.294771 -36.685659, 149.290279 -36.685659)))"
 ]
}

 The dataset includes 8 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050371-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.svxyhx
title: Occurrence Download

description: A dataset containing 500 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amphibia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((52.5 22.5,60 22.5,60 30,52.5 30,52.5 22.5))"
 ]
}

 The dataset includes 500 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040884-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kkdgdx
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "InstitutionCode is PSM",
 "OccurrenceStatus is Present",
 "TaxonKey is Molossus molossus (Pallas, 1766)"
 ]
}

 The dataset includes 177 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021848-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zt8v8z
title: Occurrence Download

description: A dataset containing 1235 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "StateProvince is one of (boyacá)",
 "TaxonKey is one of (Crax alberti Fraser, 1852)"
 ]
 }
 ]
}

 The dataset includes 1235 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021850-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8eek9x
title: Occurrence Download

description: A dataset containing 23842 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Solanum lycopersicum L.",
 "Year 1737-2024"
 ]
}

 The dataset includes 23842 records from 265 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021849-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.