cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3528024
title: A combined Terra and Aqua MODIS land surface temperature and meteorological station data product for China from 2003–2017

description: The LSTC dataset contains land surface temperature data in China (about 9.6 million square kilometers of land) during the period of 2003-2017, in monthly temporal and 5600 m spatial resolution. It combines MODIS daily data, monthly data and meteorological station data to reconstruct the true LST under cloud coverage, and then the data performance is further improved by establishing a regression analysis model. The accuracy analysis shows that the reconstruction result is closely correlated with the in-situ measurements, with an average RMSE is 1.39 °C, an average MAE of 1.30 ° C and an R<sup>2</sup> of 0.97. The dataset can be used for the spatiotemporal evaluation of LST and will be useful for high temperature and drought studies and food security.
DOI: 10.6084/m9.figshare.22227340.v1
title: CrudeOilTrainLoc_Flickr_2008-2022

description: Locations of crude oil train pictures downloaded from Flickr website (data between 2008-2011 are in csv format and shapefile format for those between 2012 and 2022 )
DOI: 10.17632/gtsd37gdyv.1
title: Dynamic Stiffness Matrix of a Timoshenko-Ehrenfest beam element with multiple cracked sections: code implementation

description: The files concern the MatLab implementation of the Dynamic Stiffness Matrix of a Timoshenko beam element with multiple cracked sections described in the paper "Exact closed-form Dynamic Stiffness Matrix of damaged frames comprising Timoshenko-Ehrenfest beams", by F. Cannizzaro, I. Fiore, S. Caddemi, I Caliò, Journal of Vibration and Control (2024) DOI: https://doi.org/10.1177/10775463241233055. The instructions for the use of the MatLab code are provided inside the files "BeamElementData.m" and “FrameData.m". In particular, the files are subdivided as follows:
- one example file "BeamElementData.m" for data definition for the construction of the DSM of a Timoskenko beam element with multiple weakened sections;
- one example file "FrameData.m" for data definition for the construction of the DSM of a Timoskenko frame with multiple weakened sections (one of the applications of the paper);
- one folder "private" containing the subroutines for the construction of the DSM according to the paper formulas.
DOI: 10.17917/c7n7-n938
title: NIST - NCL Joint Assay Protocol, PCC-7

description: Measuring the Size of Nanoparticles Using Transmission Electron Microscopy (TEM)
DOI: 10.25318/9810004501-eng
title: Type of collective dwelling, age and gender for the population in collective dwellings: Canada, provinces and territories

description: Data on type of collective dwelling, age and gender for the population in collective dwellings.
DOI: 10.26022/ieda/111982
title: ApolloBasalt DB_V2

description: ABDB_V2 contains major and minor element compositions as well as ages of lunar basalts from Apollo sites 11, 12, 14, 15, 16, and 17; lunar basaltic meteorite compositions; published velocity profiles of the lunar interior; published lunar bulk silicate compositions; full references for all data contained in ABDB_v2.
description: Cone, K.A., Palin, R.M., Singha, K., (2020). Unsupervised Machine Learning with petrological database ApolloBasaltDB reveals complexity in lunar basalt major element oxide and mineral distribution patterns. Icarus, 346, pp. 19.
DOI: 10.5063/f1dn430g
title: Mountain Birdwatch 1.0

description: Mountain Birdwatch 1.0 is a long-term monitoring program for songbirds that breed in highelevation forests of the northeastern United States. Initiated in 2000, Mountain Birdwatch has prepared skilled volunteers to conduct annual surveys along 1-km point-count routes located in Massachusetts, New York, Vermont, New Hampshire, and Maine. Primary emphasis was placed on Bicknell’s Thrush, a montane-fir specialist that breeds only in the Northeastern U.S. and adjacent portions of Canada. Other focal species included Blackpoll Warbler, Swainson’s Thrush, White-throated Sparrow, and Winter Wren. The Vermont Center for Ecostudies launched a new, revised monitoring program- Mountain Birdwatch 2.0- in June of 2010.
DOI: 10.5066/p9h5qeac
title: Updated Compilation of VS30 Data for the United States

description: VS30, the time-averaged shear-wave velocity (VS) to a depth of 30 meters, is a key index adopted by the earthquake engineering community to account for seismic site conditions. VS30 is typically based on geophysical measurements of VS derived from invasive and noninvasive techniques at sites of interest. Owing to cost considerations, as well as logistical and environmental concerns, VS30 data are sparse or not readily available for most areas. Where data are available, VS30 values are often assembled in assorted formats that are accessible from disparate and (or) impermanent Websites. To help remedy this situation, we compiled VS30 measurements obtained by studies funded by the U.S. Geological Survey (USGS) and other governmental agencies. Thus far, we have compiled VS30 values for 4,369 sites in the United States, along with metadata for each measurement from government-sponsored reports, online databases, and scientific and engineering journals. Most of the data in our VS30 compilation originated from publications directly reporting the work of field investigators. A subset consisting of 20 percent of VS30 values was previously compiled by the USGS and other research institutions. VS30 originating from these earlier compilations were crosschecked against published reports when clarification was needed. Both downhole and surface-based VS30 estimates are represented in our VS30 compilation. Most of the VS30 data are for sites in the western contiguous United States (3,128 sites); 682 VS30 values are for sites in the Central United States; 267 VS30 values are for sites in the Eastern United States and Puerto Rico; 15 VS30 values are for sites in Alaska; 30 VS30 values are for sites in Hawaii. The remaining 247 sites are in the vicinity of Vancouver, Canada.
DOI: 10.5281/zenodo.10777159
title: MegaOath: Datasets

description: Datasets to "Effectiveness of Ex-Ante Honesty Oaths in Reducing Dishonesty Depends on Content"

Project page: https://osf.io/t3sm4/
DOI: 10.5281/zenodo.13329833
title: MegaOath: Datasets

description: Datasets to "Effectiveness of Ex-Ante Honesty Oaths in Reducing Dishonesty Depends on Content"

Project page: https://osf.io/t3sm4/
DOI: 10.5281/zenodo.13745067
title: Reproduction material for Behrens/Rohlfing: The integration of Bayesian regression analysis and Bayesian process tracing in mixed-methods research

description: Reproduction material for the paper The integration of Bayesian regression analysis and Bayesian process tracing in mixed-methods research

by Lion Behrens and Ingo Rohlfing

Published in Sociological Methods & Research as gold open access: https://doi.org/10.1177/00491241241295336

The appendix is available at https://doi.org/10.5281/zenodo.13834211.
DOI: 10.5281/zenodo.14605615
title: Supplementary Data for Greif et al. 2025 Reconstruction of feeding behaviour and diet in Devonian ctenacanth chondrichthyans using Dental Microwear Texture and Finite Element analyses

description: 1. The file "SEM images.zip" contains all images including metadata that were taken from the different teeth of Ctenacanthus concinnus for a first observation.

2. The file "DMTA.zip" contains the results of the dental microwear texture analysis.Each surface has been processed in batch with a template. The result of the analysis on each surface is saved in MNT format (including all original and processed surfaces, as well as results) and exported to a PDF file (unfortunately, some images on p.4 were not exported properly for unknown reasons).Ultimately, the results are collated into CSV files (see also https://zenodo.org/records/14604218).The analysis has been performed with ConfoMap (a derivative of MountainsMap) v. 8.2.10044.

3. The file "Shark tooth FEA input.zip" contains the files that were used in the FEA analysis for C. concinnus as well as for the three recent specimens (Prionace glauca, Hemipristis elongata and Chlamydoselachus anguineus).

4. The file "STL files for FEA.zip" contains the STL surface meshes of the teeth of the three different taxa that were used in this publication to perform FEA on. Additionally there is the STL file of the entire jaw of Hemipristis elongata. 

5. The file "Polar bar charts.zip" contains a table with scratch counts for the teeth of one speciment of C. concinnus as well as a R.script to generate Polar bar charts and the plots. The counts and plots were used for a first observation.

6. Excel sheet including data for chondrichthyan body size throughout the Devonian/Carboniferous, Ammonoid conch size, ammonoid fractal dimension and number of sutural elements. A linear correlation r and p (uncorr) was performed to test the correlation between the latter characters.
DOI: 10.5281/zenodo.14630520
title: Permanence risks limit carbon financing strategies to safeguard Southeast Asian mangroves: dataset

description: Data and code supplementary to the paper Permanence risks limit carbon financing strategies to safeguard Southeast Asian mangroves Kwan et al. (2025), published in Communications Earth and Environment (DOI: xxx).
DOI: 10.6073/pasta/91e6302e743bac1e3e32781b869ce3d9
title: Bird abundance - point counts

description: Circular plot counts are used to measure relative numbers of birds over time and between sites. The duration of each count is 10 minutes. During this period, all birds heard or seen are recorded on a data sheet in one of two categories: 1) within 25 m of the observer (&lt; 25 m) and 2) further than 25m from the observer (&gt; 25 m). Records are further broken down into birds only heard (H on the data sheet) and birds observed (recorded as estimated distance from the sampling point in meters; see sample data sheet). Counts are begun as soon after dawn as possible and conclude before noon. Census points are at least 60 m apart within the grids. A complete list of the grid points where counts are taken is found in the data. Originally counts were conducted three times a year.
DOI: 10.6073/pasta/be5ad393af83f9602aae96423a280875
title: CFP01 Fish population on selected watersheds at Konza Prairie

description: Fishes were collected by habitat (pool or riffle) at 6 sites in the Kings Creek watershed with a single-pass electrofishing survey with one person operating the electrofisher and two people dipnetting. Collections were made seasonally.
DOI: 10.6084/m9.figshare.26272375
title: HisDoc1B Dataset

description: HisDoc1B dataset constructed by DLVCLab of SCUT.
DOI: 10.21227/nfv6-k750
title: Alarm logs of industrial packaging machines

description: The advent of the Industrial Internet of Things (IIoT) has led to the availability of huge amounts of data, that can be used to train advanced Machine Learning algorithms to perform tasks such as Anomaly Detection, Fault Classification and Predictive Maintenance. Even though not all pieces of equipment are equipped with sensors yet, usually most of them are already capable of logging warnings and alarms occurring during operation. Turning this data, which is easy to collect, into meaningful information about the health state of machinery can have a disruptive impact on the improvement of efficiency and up-time. The provided dataset consists of a sequence of alarms logged by packaging equipment in an industrial environment. The collection includes data logged by 20 machines, deployed in different plants around the world, from 2019-02-21 to 2020-06-17. There are 154 distinct alarm codes, whose distribution is highly unbalanced. This data can be used to address the following tasks: 1. Next alarm forecasting: this problem can be framed as a supervised multi-class classification task, or a binary classification task when a specific alarm code is considered. 2. Predicting alarms occurring in a future time frame: here the goal is to forecast the occurrence of certain alarm types in a future time window. Since many alarms can occur, this is a supervised multi-label classification. 3. Future alarm sequence prediction: here the goal is predicting an ordered sequence of future alarms, in a sequence-to-sequence forecasting scenario. 4. Anomaly Detection: the task is to detect abnormal equipment conditions, based on the pattern of alarms sequence. This task can be either unsupervised, if only the input sequence is considered, or supervised if future alarms are taken into account to assess whether or not there is an anomaly. All of the above tasks can also be studied from a continual learning perspective. Indeed, information about the serial code of the specific piece of equipment can be used to train the model; however, a scalable model should also be easy to apply to new machines, without the need of a new training from scratch.
DOI: 10.3334/cdiac/cli.ndp070
title: U.S. HISTORICAL CLIMATOLOGY NETWORK (USHCN): Daily Temperature\, Precipitation\, and Snow Data

description: The United States Historical Climatology Network (USHCN) is a high-quality data set of daily and monthly records of basic meteorological variables from 1218 observing stations across the 48 contiguous United States. Daily data include observations of maximum and minimum temperature, precipitation amount, snowfall amount, and snow depth; monthly data consist of monthly-averaged maximum, minimum, and mean temperature and total monthly precipitation. Most of these stations are U.S. Cooperative Observing Network stations located generally in rural locations, while some are National Weather Service First-Order stations that are often located in more urbanized environments. The USHCN has been developed over the years at the National Oceanic and Atmospheric Administration's (NOAA) National Climatic Data Center (NCDC) to assist in the detection of regional climate change. Furthermore, it has been widely used in analyzing U.S. climte. The period of record varies for each station. USHCN stations were chosen using a number of criteria including length of record, percent of missing data, number of station moves and other station changes that may affect data homogeneity, and resulting network spatial coverage. Collaboration between NCDC and CDIAC on the USHCN project dates to the 1980s (Quinlan et al. 1987). At that time, in response to the need for an accurate, unbiased, modern historical climate record for the United States, the Global Change Research Program of the U.S. Department of Energy and NCDC chose a network of 1219 stations in the contiguous United States that would become a key baseline data set for monitoring U.S. climate. This initial USHCN data set contained monthly data and was made available free of charge from CDIAC. Since then it has been comprehensively updated several times [e.g., Karl et al. (1990) and Easterling et al. (1996)]. The initial USHCN daily data set was made available through CDIAC via Hughes et al. (1992) and contained a 138-station subset of the USHCN. This product was updated by Easterling et al. (1999) and expanded to include 1062 stations. In 2009 the daily USHCN dataset was expanded to include all 1218 stations in the USHCN.
DOI: 10.3886/e208145v1
title: Code for: Political social-learning: Short-term memory and cycles of polarisation

description: This paper investigates the effect of voters' short-term memory on political outcomes by considering politics as a collective learning process. We find that short-term memory may lead to cycles of polarisation and consensus across parties' platforms. Following periods of party consensus, short-term memory implies that there is little variation in voters' data and therefore limited information about the true state of the world. This in turn allows parties to further their own interests and hence polarise by offering different policies. In contrast, periods of polarisation and turnover involve sufficient variation in the data that allows voters to be confident about what the correct policy is, forcing both parties to offer this policy. The code deposited here is a replication package that simulates and processes data to replicate Table 1 in the paper. The table describes long term averages of when society attains the optimal policy and the average length of time that it is in a consensus phase and a polarisation phase.<br><br><br>
DOI: 10.3886/e209322v1
title: Data and Code for: The Good Wife? Reputation Dynamics and Financial Decision-Making Inside the Household

description: This package contains the replication package for “The Good Wife? Reputation Dynamics and Financial Decision-Making Inside the Household” by Nina Buchmann, Pascaline Dupas, and Roberta Ziparo. It contains all data and code necessary for replicating the tables and figures in the paper. The data files are in Stata (.dta), and the replication code was written in Stata. Replication of the tables and figures will take approximately 10 minutes. <br><br>The abstract of the associated paper is as follows:<br>We study reputation dynamics within the household in a setting where women regularly receive transfers from their husbands for household purchases. We propose a signaling model in which wives try to maintain a good reputation in the eyes of their husband to receive high transfers. This leads them to (a) avoid risky purchases (goods with unknown returns); and (b) knowingly over-use low-return goods to hide bad purchase decisions—we call this the intra-household sunk cost effect. We present supportive evidence for the model from a series of experiments with married couples in rural Malawi<br>
description: Signaling and Transfer experiments: Married monogamous couples sampled from 36 villages in Neno district, Southern Malawi<br><br>Market experiment: Married women in monogamous relationships, recruited while they were shopping at one of six local markets in Zomba district.
DOI: 10.5281/zenodo.11523654
title: The mechanisms in regulating the quasi-biennial oscillation in E3SM version 2

description: The data includes time step output of convective parameters horizonal wind in heating depth (U), the depth of the heating (D) and the maximum latent heating tendency within convection (Q0max) on the spectral element grid. Also, it includes zonal wind,total precipitation and zonal wind tendency caused by gravity wave (BUTGW) at longitude-latitude grid at 45.7 hPa and 96 hPa. The time series of EP flux divergence, gravity wave drag and zonal mean zonal wind are restored.
DOI: 10.5281/zenodo.4725585
title: A large-scale geomechanical and petrophysical data set measured across the Geneva Basin as part of CERN's FCCIS Mining-The-Future competition

description: This upload includes the data set as part of CERN's FCCIS "Mining The Future" competition measured at Montanuniversität Leoben in Leoben, Austria.
DOI: 10.5281/zenodo.8076540
title: Sensor-Independent LAI/FPAR CDR

description: The Sensor-Independent leaf area index (LAI)/ fraction of photosynthetically active radiation (FPAR) climate data record (CDR) is derived from high quality LAI/FPAR from MOD15AH C6, MYD15A2H C6, and VNP15A2H C1 products. The low-quality LAI/FPARs were first removed using quality control flags. The high-quality LAI/FPARs were merged into Filtered Sensor-Independent LAI/FPAR data sets. The missing values are then gap filled by spatial-temporal tensor (ST-Tensor) completion model. The Sensor-Independent LAI/FPAR CDR covers the period from 2000 to 2022 year, with spatial resolutions of 500m/5km/0.05 degrees for global vegetation area and temporal resolutions of 8 days or half a month.


The ground-based validations show that the newly generated Sensor-Independent LAI/FPAR CDR achieves higher accuracy compared to original Terra-MODIS/Aqua-MODIS/VIIRS LAI/FPAR products. Thus, the Sensor-Independent LAI/FPAR CDR provides a valuable resource for researchers studying vegetation dynamics and their relationship to climate change.


Here, we provide 4 versions that a spatial resolution is 5km or 0.05 degree, and a temporal resolution is 8 days or half a month. The other 2 versions that the spatial resolution is 500m can be assessed by Google Earth Engine.


More details about Sensor-Independent LAI/FPAR CDR can be found at https://github.com/JiabinPu/Sensor-Independent-LAI-FPAR-CDR
DOI: 10.5517/ccdc.csd.cc1nwxv9
title: CCDC 1546182: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte|2017|CSD Communication|||
description: Related Article: Qiang Lv, Xue-Dong Wang, Yue Yu, Chao-Fei Xu, Yan-Jun Yu, Xing-Yu Xia, Min Zheng, Liang-Sheng Liao |2023|Nature Chemistry|16|201|doi:10.1038/s41557-023-01364-1
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: 10.6073/pasta/7e14afe2ca3650e1f84132338ee0cfa3
title: Infilled daily precipitation data for D1 chart recorder, 1952 - ongoing.

description: Precipitation data have been collected at the D1 climate station (3739 m asl) almost continuously from 1952 to the present. D1 is on a narrow, exposed ridge on the westernmost part of Niwot Ridge, 2.6 km east of and ca. 200 m lower in elevation than the Continental Divide. Surrounding vegetation is low-stature alpine tundra. Through 1969, precipitation was recorded using an unshielded U.S. Weather Bureau standard totalizing gauge, with observations manually recorded on an approximately weekly basis. Starting in 1965, daily precipitation has been recorded using a Belford weighing-bucket gauge with chart recorder and with an Alter-type shield encircled by a Wyoming-snow fence. Overlap in the two records was used to adjust the totalizing gauge record so that it could be merged with the weighing-bucket gauge record (see Methods). Missing daily data were infilled and multiday records were parsed to dailies (see Methods).
DOI: 10.6073/pasta/cc7e183b27383d894709fcc3e2e8cc74
title: Streamflow data for Albion camp, 1981 - ongoing.

description: This is a summary of discharges from the Green Lakes Basin (7.1 km2
 area) and is based on stage records from the control section in the
 channel, about 50 m downstream of the culvert under the road at the
 Albion camp, and consists of daily flow volumes. Initially,
 instrumentation consisted of a Leupold-Stevens A70 float recorder.
 The site was initially instrumented with an Omnidata EZ900 data
 logger system interfaced to a Keller 1 psi pressure transducer on 29
 June 1993. In order to establish cross-calibration between the 2
 forms of instrumentation, both were planned to be used through 1994.
 In 2005, a Campbell cr10x data logger was installed; it was replaced
 by a Campbell cr1000 in 2013.
DOI: 10.5281/zenodo.14777537
title: A coherency result of a quasi-linear array in the Tarim Basin

description: This is a file of data stored in the form of MATLAB structures.

The file only contains one structural variable CC. 

CC contains 5 variables, where CC.ccf is the coherency result in frequency domain, CC.cct is the coherency result in time domain, CC.ccr, CC.freq, and CC.time are the inter-station distance, frequency, and time coordinates corresponding to CC, respectively.
DOI: 10.5281/zenodo.14777538
title: A coherency result of a quasi-linear array in the Tarim Basin

description: This is a file of data stored in the form of MATLAB structures.

The file only contains one structural variable CC. 

CC contains 5 variables, where CC.ccf is the coherency result in frequency domain, CC.cct is the coherency result in time domain, CC.ccr, CC.freq, and CC.time are the inter-station distance, frequency, and time coordinates corresponding to CC, respectively.
DOI: 10.48544/67ceee21-0b15-4c78-813f-8237f5e06bad
title: Rollenkaartjes Leerkrachthouding en klassenmanagementstijl