cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wm29y435h6
title: Ansoff Strategic Posture and Firms’ Responses to Industry Norms under Environmental Turbulence

description: This dataset contains the final firm–year analytic panel used to examine how firms adjust their strategic posture relative to industry norms under conditions of environmental turbulence, drawing on Igor Ansoff’s Strategic Success Hypothesis (SSH). The unit of analysis is the firm–year.
The dataset covers publicly listed technology firms, primarily listed on NASDAQ, observed over the period 2006–2015. It reports firms’ strategic distance from contemporaneous industry benchmarks and the year-to-year change in that distance, which constitutes the primary dependent variable in the empirical analyses.
Industry norms are constructed at the industry–year level as peer means excluding the focal firm. Firm-level strategic posture measures reflect the alignment among environmental turbulence, strategic aggressiveness, and capability responsiveness, coded from publicly available and auditable disclosures (e.g., annual reports, 10-K filings, investor materials). Environmental turbulence is treated as exogenous at the industry–year level.
Key variables include firms’ distance from the industry norm, absolute distance, lagged distance measures, and the change in absolute distance between consecutive years, capturing convergence toward or divergence from industry benchmarks. The dataset also includes identifiers necessary for panel estimation and lag construction.
This file represents the final merged dataset used in all reported regressions, figures, and hypothesis tests. Intermediate construction files (e.g., firm-level coding sheets and industry benchmark tables) are not included to ensure clarity and reproducibility. The dataset allows independent replication of the empirical results reported in the associated study.
DOI: 10.17632/wm29y435h6.1
title: Ansoff Strategic Posture and Firms’ Responses to Industry Norms under Environmental Turbulence

description: This dataset contains the final firm–year analytic panel used to examine how firms adjust their strategic posture relative to industry norms under conditions of environmental turbulence, drawing on Igor Ansoff’s Strategic Success Hypothesis (SSH). The unit of analysis is the firm–year.
The dataset covers publicly listed technology firms, primarily listed on NASDAQ, observed over the period 2006–2015. It reports firms’ strategic distance from contemporaneous industry benchmarks and the year-to-year change in that distance, which constitutes the primary dependent variable in the empirical analyses.
Industry norms are constructed at the industry–year level as peer means excluding the focal firm. Firm-level strategic posture measures reflect the alignment among environmental turbulence, strategic aggressiveness, and capability responsiveness, coded from publicly available and auditable disclosures (e.g., annual reports, 10-K filings, investor materials). Environmental turbulence is treated as exogenous at the industry–year level.
Key variables include firms’ distance from the industry norm, absolute distance, lagged distance measures, and the change in absolute distance between consecutive years, capturing convergence toward or divergence from industry benchmarks. The dataset also includes identifiers necessary for panel estimation and lag construction.
This file represents the final merged dataset used in all reported regressions, figures, and hypothesis tests. Intermediate construction files (e.g., firm-level coding sheets and industry benchmark tables) are not included to ensure clarity and reproducibility. The dataset allows independent replication of the empirical results reported in the associated study.
DOI: 10.15468/dl.9zsupw
title: Occurrence Download

description: A dataset containing 3071 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Atlapetes tricolor"
 ]
}

 The dataset includes 3071 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004144-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.artasm
title: Occurrence Download

description: A dataset containing 16747 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is one of (North America, South America)",
 "DatasetKey is one of (AMNH Bird Collection, Field Museum of Natural History (Zoology) Bird Collection, Academy of Natural Sciences of Philadelphia Ornithology Collection, NMNH Extant Specimen Records (USNM, US), Atlas de las Aves de México: Fase II)",
 "TaxonKey is Picidae",
 "Year 1950-2026"
 ]
}

 The dataset includes 16747 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004142-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4xp62s957c
title: Data to Accompany: Space-Time Analysis of Burgeoning US Atrial Septal Defect Rates.

description: R Code and original data files
DOI: 10.17632/4xp62s957c.5
title: Data to Accompany: Space-Time Analysis of Burgeoning US Atrial Septal Defect Rates.

description: R Code and original data files
DOI: 10.17632/g35g3v5mmc
title: Research data

description: This database is for authors to submit their works and mainly contains the data of the articles.
DOI: 10.17632/g35g3v5mmc.1
title: Research data

description: This database is for authors to submit their works and mainly contains the data of the articles.
DOI: 10.17632/tcjrrk59s2
title: Replication：How Digital Intelligence Transformation Creates Firm Value: A Real Options Perspective

description: This replication package contains the code and data used to obtain the results presented in the paper “How Digital Intelligence Transformation Creates Firm Value: A Real Options Perspective” by Chengxing Xie, Liang Wu, Zhijie Tong and Yu Chen.
Specifically, this reproduction package contains two folders (Code and Data). The Data folder includes all data used in the paper; executing the commands in the Code folder will reproduce the figures and tables reported in the paper.
DOI: 10.17632/tcjrrk59s2.2
title: Replication：How Digital Intelligence Transformation Creates Firm Value: A Real Options Perspective

description: This replication package contains the code and data used to obtain the results presented in the paper “How Digital Intelligence Transformation Creates Firm Value: A Real Options Perspective” by Chengxing Xie, Liang Wu, Zhijie Tong and Yu Chen.
Specifically, this reproduction package contains two folders (Code and Data). The Data folder includes all data used in the paper; executing the commands in the Code folder will reproduce the figures and tables reported in the paper.
DOI: 10.17632/msk784c9z2
title: Swifts Can Achieve High-Speed Rolling Maneuvers Utilizing Inertial Forces Rather than Relying on the Aerodynamic Moments

description: The excel "rolling_step_inertial_analysis" represents the roll angle and roll rate data in the rolling step. The text "whole_tuning_xyz" represents the position coordinates in the whole turning process.
DOI: 10.17632/msk784c9z2.1
title: Swifts Can Achieve High-Speed Rolling Maneuvers Utilizing Inertial Forces Rather than Relying on the Aerodynamic Moments

description: The excel "rolling_step_inertial_analysis" represents the roll angle and roll rate data in the rolling step. The text "whole_tuning_xyz" represents the position coordinates in the whole turning process.
DOI: 10.23719/1531761
title: Dual disinfection

description: Municipal wastewater treatment case studies:  These two full scale studies describes the steps and advantages of peracetic acid and chlorination combination for treating wastewater.
DOI: 10.15468/dl.u7ys54
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bryconamericus zamorensis",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004145-260208012135463/datasets/export for details.
DOI: 10.15468/dl.z5a7b5
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vachellia eburnea",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 21 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004146-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/2r2mjv2g2y
title: Policing of House of Representatives / People’s Consultative Assembly -Related Protests in Indonesia

description: Policing of House of Representatives / People’s Consultative Assembly -Related Protests in Indonesia
DOI: 10.15468/dl.ka6zen
title: Occurrence Download

description: A dataset containing 18790 species occurrences available in GBIF matching the query:
{
 "GadmGid" : [
 "is PHL.58_1"
 ]
}

 The dataset includes 18790 records from 176 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004147-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/2r2mjv2g2y.1
title: Policing of House of Representatives / People’s Consultative Assembly -Related Protests in Indonesia

description: Policing of House of Representatives / People’s Consultative Assembly -Related Protests in Indonesia
DOI: 10.17632/rppg8mmyhk
title: Literature Review Inclusion Summary Table

description: The 136 articles included in the systematic literature review.
DOI: 10.17632/rppg8mmyhk.1
title: Literature Review Inclusion Summary Table

description: The 136 articles included in the systematic literature review.
DOI: 10.17632/bbvhrygxjz
title: A multi-condition acoustic dataset of ball bearings for fault diagnosis-compound inner-outer race pitting

description: This dataset provides multi-condition, long-duration acoustic data for ball bearings. The data were acquired from bearings with normal bearing faults, systematically and separately for each combination of three rotational speeds (800, 1000, and 1200 r/min) and three load levels (0%, 15%, and 30% of the rated torque, where 100% corresponds to 6 N·m).
Acoustic signals were recorded synchronously using three microphones: two B&K Type 4966 and one CRY333. The sensitivities were 49.76 mV/Pa (B&K at Position 2), 46.95 mV/Pa (B&K at Position 3), and 23.98 mV/Pa (CRY333at Position 1), respectively. The detailed microphone placement is described in our associated dataset article to be published in Data in Brief.
For each of the nine operational conditions, a continuous 50-minute recording was captured at a sampling rate of 32,768 Hz. For data management, each 50-minute recording is segmented into five sequential 10-minute files (labeled 1-5) within the repository. The raw data are provided in the proprietary .bkc format. Files are organized and named according to a hierarchical directory structure based on fault type, speed, load, and sampling rate.
This dataset supports analytical tasks such as feature extraction and pattern recognition. It serves as a benchmark for developing and validating fault diagnosis algorithms for rotating machinery, particularly for evaluating model performance under varying operating conditions.
DOI: 10.17632/bbvhrygxjz.1
title: A multi-condition acoustic dataset of ball bearings for fault diagnosis-compound inner-outer race pitting

description: This dataset provides multi-condition, long-duration acoustic data for ball bearings. The data were acquired from bearings with normal bearing faults, systematically and separately for each combination of three rotational speeds (800, 1000, and 1200 r/min) and three load levels (0%, 15%, and 30% of the rated torque, where 100% corresponds to 6 N·m).
Acoustic signals were recorded synchronously using three microphones: two B&K Type 4966 and one CRY333. The sensitivities were 49.76 mV/Pa (B&K at Position 2), 46.95 mV/Pa (B&K at Position 3), and 23.98 mV/Pa (CRY333at Position 1), respectively. The detailed microphone placement is described in our associated dataset article to be published in Data in Brief.
For each of the nine operational conditions, a continuous 50-minute recording was captured at a sampling rate of 32,768 Hz. For data management, each 50-minute recording is segmented into five sequential 10-minute files (labeled 1-5) within the repository. The raw data are provided in the proprietary .bkc format. Files are organized and named according to a hierarchical directory structure based on fault type, speed, load, and sampling rate.
This dataset supports analytical tasks such as feature extraction and pattern recognition. It serves as a benchmark for developing and validating fault diagnosis algorithms for rotating machinery, particularly for evaluating model performance under varying operating conditions.
DOI: 10.17632/jvv7p4wfgv
title: A multi-condition acoustic dataset of ball bearings for fault diagnosis-cage fracture

description: This dataset provides multi-condition, long-duration acoustic data for ball bearings. The data were acquired from bearings with normal bearing faults, systematically and separately for each combination of three rotational speeds (800, 1000, and 1200 r/min) and three load levels (0%, 15%, and 30% of the rated torque, where 100% corresponds to 6 N·m).
Acoustic signals were recorded synchronously using three microphones: two B&K Type 4966 and one CRY333. The sensitivities were 49.76 mV/Pa (B&K at Position 2), 46.95 mV/Pa (B&K at Position 3), and 23.98 mV/Pa (CRY333at Position 1), respectively. The detailed microphone placement is described in our associated dataset article to be published in Data in Brief.
For each of the nine operational conditions, a continuous 50-minute recording was captured at a sampling rate of 32,768 Hz. For data management, each 50-minute recording is segmented into five sequential 10-minute files (labeled 1-5) within the repository. The raw data are provided in the proprietary .bkc format. Files are organized and named according to a hierarchical directory structure based on fault type, speed, load, and sampling rate.
This dataset supports analytical tasks such as feature extraction and pattern recognition. It serves as a benchmark for developing and validating fault diagnosis algorithms for rotating machinery, particularly for evaluating model performance under varying operating conditions.
DOI: 10.17632/jvv7p4wfgv.1
title: A multi-condition acoustic dataset of ball bearings for fault diagnosis-cage fracture

description: This dataset provides multi-condition, long-duration acoustic data for ball bearings. The data were acquired from bearings with normal bearing faults, systematically and separately for each combination of three rotational speeds (800, 1000, and 1200 r/min) and three load levels (0%, 15%, and 30% of the rated torque, where 100% corresponds to 6 N·m).
Acoustic signals were recorded synchronously using three microphones: two B&K Type 4966 and one CRY333. The sensitivities were 49.76 mV/Pa (B&K at Position 2), 46.95 mV/Pa (B&K at Position 3), and 23.98 mV/Pa (CRY333at Position 1), respectively. The detailed microphone placement is described in our associated dataset article to be published in Data in Brief.
For each of the nine operational conditions, a continuous 50-minute recording was captured at a sampling rate of 32,768 Hz. For data management, each 50-minute recording is segmented into five sequential 10-minute files (labeled 1-5) within the repository. The raw data are provided in the proprietary .bkc format. Files are organized and named according to a hierarchical directory structure based on fault type, speed, load, and sampling rate.
This dataset supports analytical tasks such as feature extraction and pattern recognition. It serves as a benchmark for developing and validating fault diagnosis algorithms for rotating machinery, particularly for evaluating model performance under varying operating conditions.
DOI: 10.15468/dl.gdpfgt
title: Occurrence Download

description: A dataset containing 119282 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 51.21395264452012
 AND decimallatitude &lt;= 56.135291543055025
 AND decimallongitude &gt;= 60.13294214751847
 AND decimallongitude &lt;= 71.95510188352445
 AND GBIF_Within('POLYGON ((71.955102 51.213953, 71.955102 56.135292, 60.132942 56.135292, 60.132942 51.213953, 71.955102 51.213953))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 119282 records were derived from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004134-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/htr5-4707
title: Parkes observations for project PX600 semester 2020APRS_149

description: The Galactic Center (GC) is a key target for the radio component of Breakthrough Listen (BL) program. Offering the largest amount of stars in any given direction in the sky, the GC is widely cited as a location believed to harbour advanced civilizations, and it is also the most energetic region in the Milky Way. We aim to conduct BL-GC Survey with Parkes radio telescope for around 350 hours. We will cover the frequency range from 700 MHz to 4 GHz, utilizing the newly installed ultra-wideband receiver. Our team has already leveraged both standard and bespoke tools to construct a flexible software stack to search data for signals of interest. We will look for signals from extraterrestrial intelligence (ETI) by searching for both simple narrow-band signals and complex modulated signals. Along with that, as an ancillary science, we will also search for accelerated pulsars — likely orbiting a supermassive black hole at the centre of the Milky Way Galaxy. Data products produced during this program will also be publically available to engage larger pulsar community
DOI: 10.17632/g2kzkwnkgw
title: A multi-condition acoustic dataset of ball bearings for fault diagnosis-outer race pitting

description: This dataset provides multi-condition, long-duration acoustic data for ball bearings. The data were acquired from bearings with normal bearing faults, systematically and separately for each combination of three rotational speeds (800, 1000, and 1200 r/min) and three load levels (0%, 15%, and 30% of the rated torque, where 100% corresponds to 6 N·m).
Acoustic signals were recorded synchronously using three microphones: two B&K Type 4966 and one CRY333. The sensitivities were 49.76 mV/Pa (B&K at Position 2), 46.95 mV/Pa (B&K at Position 3), and 23.98 mV/Pa (CRY333at Position 1), respectively. The detailed microphone placement is described in our associated dataset article to be published in Data in Brief.
For each of the nine operational conditions, a continuous 50-minute recording was captured at a sampling rate of 32,768 Hz. For data management, each 50-minute recording is segmented into five sequential 10-minute files (labeled 1-5) within the repository. The raw data are provided in the proprietary .bkc format. Files are organized and named according to a hierarchical directory structure based on fault type, speed, load, and sampling rate.
This dataset supports analytical tasks such as feature extraction and pattern recognition. It serves as a benchmark for developing and validating fault diagnosis algorithms for rotating machinery, particularly for evaluating model performance under varying operating conditions.
DOI: 10.17632/g2kzkwnkgw.1
title: A multi-condition acoustic dataset of ball bearings for fault diagnosis-outer race pitting

description: This dataset provides multi-condition, long-duration acoustic data for ball bearings. The data were acquired from bearings with normal bearing faults, systematically and separately for each combination of three rotational speeds (800, 1000, and 1200 r/min) and three load levels (0%, 15%, and 30% of the rated torque, where 100% corresponds to 6 N·m).
Acoustic signals were recorded synchronously using three microphones: two B&K Type 4966 and one CRY333. The sensitivities were 49.76 mV/Pa (B&K at Position 2), 46.95 mV/Pa (B&K at Position 3), and 23.98 mV/Pa (CRY333at Position 1), respectively. The detailed microphone placement is described in our associated dataset article to be published in Data in Brief.
For each of the nine operational conditions, a continuous 50-minute recording was captured at a sampling rate of 32,768 Hz. For data management, each 50-minute recording is segmented into five sequential 10-minute files (labeled 1-5) within the repository. The raw data are provided in the proprietary .bkc format. Files are organized and named according to a hierarchical directory structure based on fault type, speed, load, and sampling rate.
This dataset supports analytical tasks such as feature extraction and pattern recognition. It serves as a benchmark for developing and validating fault diagnosis algorithms for rotating machinery, particularly for evaluating model performance under varying operating conditions.
DOI: 10.17632/w9d6g35kcy
title: A multi-condition acoustic dataset of ball bearings for fault diagnosis-inner race pitting

description: This dataset provides multi-condition, long-duration acoustic data for ball bearings. The data were acquired from bearings with normal bearing faults, systematically and separately for each combination of three rotational speeds (800, 1000, and 1200 r/min) and three load levels (0%, 15%, and 30% of the rated torque, where 100% corresponds to 6 N·m).
Acoustic signals were recorded synchronously using three microphones: two B&K Type 4966 and one CRY333. The sensitivities were 49.76 mV/Pa (B&K at Position 2), 46.95 mV/Pa (B&K at Position 3), and 23.98 mV/Pa (CRY333at Position 1), respectively. The detailed microphone placement is described in our associated dataset article to be published in Data in Brief.
For each of the nine operational conditions, a continuous 50-minute recording was captured at a sampling rate of 32,768 Hz. For data management, each 50-minute recording is segmented into five sequential 10-minute files (labeled 1-5) within the repository. The raw data are provided in the proprietary .bkc format. Files are organized and named according to a hierarchical directory structure based on fault type, speed, load, and sampling rate.
This dataset supports analytical tasks such as feature extraction and pattern recognition. It serves as a benchmark for developing and validating fault diagnosis algorithms for rotating machinery, particularly for evaluating model performance under varying operating conditions.