cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bhfoi9
title: Occurrence Download

description: A dataset containing 8507 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Aspidoscelis gularis (Baird & Girard, 1852)"
 ]
}

 The dataset includes 8507 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003127-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7a59cf
title: Occurrence Download

description: A dataset containing 5940 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anredera cordifolia (Ten.) Steenis"
 ]
}

 The dataset includes 5940 records from 204 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101775-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr08720.v1
title: Consolidated Federal Funds Report (CFFR), Fiscal Year 1986
title: Version 1

description: This collection presents data on federal expenditures or 
 obligations for the following categories: grants, salaries and wages, 
 procurement contracts, direct payments for individuals, other direct 
 payments, direct loans, guaranteed or insured loans, and insurance. 
 Information available in the CFFR Data File includes government 
 identification code, program identification code, object/assistance 
 type code, amount in whole dollars, and FIPS code. For each unique 
 government unit code, all programs are listed, and for each program, 
 all records with different object categories are listed. The CFFR 
 Geographic Reference Files A and B supply the names and governmental 
 unit codes for all state, county and subcounty areas in the United 
 States. In addition, these files include associated geographic codes 
 (FIPS, GSA, and Census Bureau place codes), the 1984 population, and 
 the congressional districts serving each governmental unit. 
 Congressional districts of the 99th Congress are shown in File A, while 
 those of the 100th Congress are shown in File B. The CFFR Program 
 Identification File contains program identification codes and their 
respective program titles.
description: Datasets: 
DS0: Study-Level Files
DS1: CCFR Data File
DS2: Geographic Reference File A
DS3: Program Identification File
DS4: Geographic Reference File B
description: Federal government expenditures or obligations in state, 
 county and subcounty areas of the United States, United States 
territories, and the District of Columbia.
description: Certain categories of federal government spending have 
 been intentionally excluded from this report. These include such items 
 as interest on federal government debt, travel expenses when not 
provided under contract, and international payments and foreign aid.
DOI: 10.3886/icpsr08720
title: Consolidated Federal Funds Report (CFFR), Fiscal Year 1986
title: Archival Version

description: This collection presents data on federal expenditures or 
 obligations for the following categories: grants, salaries and wages, 
 procurement contracts, direct payments for individuals, other direct 
 payments, direct loans, guaranteed or insured loans, and insurance. 
 Information available in the CFFR Data File includes government 
 identification code, program identification code, object/assistance 
 type code, amount in whole dollars, and FIPS code. For each unique 
 government unit code, all programs are listed, and for each program, 
 all records with different object categories are listed. The CFFR 
 Geographic Reference Files A and B supply the names and governmental 
 unit codes for all state, county and subcounty areas in the United 
 States. In addition, these files include associated geographic codes 
 (FIPS, GSA, and Census Bureau place codes), the 1984 population, and 
 the congressional districts serving each governmental unit. 
 Congressional districts of the 99th Congress are shown in File A, while 
 those of the 100th Congress are shown in File B. The CFFR Program 
 Identification File contains program identification codes and their 
respective program titles.
description: Datasets: 
DS0: Study-Level Files
DS1: CCFR Data File
DS2: Geographic Reference File A
DS3: Program Identification File
DS4: Geographic Reference File B
description: Federal government expenditures or obligations in state, 
 county and subcounty areas of the United States, United States 
territories, and the District of Columbia.
description: Certain categories of federal government spending have 
 been intentionally excluded from this report. These include such items 
 as interest on federal government debt, travel expenses when not 
provided under contract, and international payments and foreign aid.
DOI: 10.15468/dl.4wjucg
title: Occurrence Download

description: A dataset containing 2995 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "Geometry POLYGON((-74.05326 -15.79264,-70.49064 -18.53033,-69.1353 -16.98145,-70.29702 -15.60624,-74.05326 -15.79264))",
 "HasGeospatialIssue is false",
 "TaxonKey is Columbina cruziana (Prévost, 1842)"
 ]
}

 The dataset includes 2995 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072249-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr08377.v1
title: State Farms in European Russia, 1917: Districts and Provinces
title: Version 1

description: This data collection aggregates district- and
 province-level data from the All-Russian Agricultural and Land Census
 of 1917 to provide indicators of farm management, production, and
 consumption in revolutionary European Russia. Information is provided
 on two models of collective land management and agricultural
 organization that existed in European Russia between the revolutions
 of 1905 and 1917. The data allow for analysis of agricultural
 organization and resource allocation in both private and state
 enterprises. The study is available in two parts. Part 1, Province
 Level, contains data on 21 provinces only. Part 2, District Level,
 contains information on 332 districts and 37 provinces. Districts
 comprising the provinces in Part 1 are also contained in Part
 2. Information is provided on the same 26 variables in both parts. The
 variables include the portion of privately-owned farms with unsown
 areas for crops, the portion of privately-owned farms without any
 livestock, the portion of privately-owned farms without working
 livestock, the portion of privately owned farms with land for rent,
 the number of hired workers on the farms with land for rent, the
 amount of arable land on one property (measured in desyatina, which is
 roughly equal to 2.7 acres), the amount of sown area on one property
 (in desyatina), the amount of ploughed field on one property, the
 quantity of hired labor on one property, the quantity of working
 livestock on one property, the quantity of productive livestock on one
 property, the number of ploughs per farm property, the number of
 farming-related working tools on one property, the number of hired
 workers per desyatin of sown land, the number of working livestock per
 desyatin of sown land, the number of productive livestock per desyatin
 of sown land, the number of ploughs per desyatin of sown land, the
 number of farming-related working tools per desyatin of sown land, the
 share of ploughs per privately-owned, arable landholdings, the portion
 of hayfields per privately-owned, arable landholdings, the portion of
 forested area per privately-owned, arable landholdings, the portion of
 sown area per privately-owned, arable landholdings, the portion of
 privately-owned crops in the entire sown area, the portion of
 privately-owned, arable land in the total area of arable land, the
 percentage of privately-owned sown area tilled at own expense, and the
 share of sown grassland in the entire sown area under private
ownership.
description: Datasets: 
DS0: Study-Level Files
DS1: Province Level
DS2: District Level
description: The codebook is provided by ICPSR as a Portable Document Format (PDF)
 file. The PDF file format was developed by Adobe Systems Incorporated
 and can be accessed using PDF reader software, such as the Adobe
 Acrobat Reader. Information on how to obtain a copy of the Acrobat
Reader is provided on the ICPSR Web site.
DOI: 10.3886/icpsr08377
title: State Farms in European Russia, 1917: Districts and Provinces
title: Archival Version

description: This data collection aggregates district- and
 province-level data from the All-Russian Agricultural and Land Census
 of 1917 to provide indicators of farm management, production, and
 consumption in revolutionary European Russia. Information is provided
 on two models of collective land management and agricultural
 organization that existed in European Russia between the revolutions
 of 1905 and 1917. The data allow for analysis of agricultural
 organization and resource allocation in both private and state
 enterprises. The study is available in two parts. Part 1, Province
 Level, contains data on 21 provinces only. Part 2, District Level,
 contains information on 332 districts and 37 provinces. Districts
 comprising the provinces in Part 1 are also contained in Part
 2. Information is provided on the same 26 variables in both parts. The
 variables include the portion of privately-owned farms with unsown
 areas for crops, the portion of privately-owned farms without any
 livestock, the portion of privately-owned farms without working
 livestock, the portion of privately owned farms with land for rent,
 the number of hired workers on the farms with land for rent, the
 amount of arable land on one property (measured in desyatina, which is
 roughly equal to 2.7 acres), the amount of sown area on one property
 (in desyatina), the amount of ploughed field on one property, the
 quantity of hired labor on one property, the quantity of working
 livestock on one property, the quantity of productive livestock on one
 property, the number of ploughs per farm property, the number of
 farming-related working tools on one property, the number of hired
 workers per desyatin of sown land, the number of working livestock per
 desyatin of sown land, the number of productive livestock per desyatin
 of sown land, the number of ploughs per desyatin of sown land, the
 number of farming-related working tools per desyatin of sown land, the
 share of ploughs per privately-owned, arable landholdings, the portion
 of hayfields per privately-owned, arable landholdings, the portion of
 forested area per privately-owned, arable landholdings, the portion of
 sown area per privately-owned, arable landholdings, the portion of
 privately-owned crops in the entire sown area, the portion of
 privately-owned, arable land in the total area of arable land, the
 percentage of privately-owned sown area tilled at own expense, and the
 share of sown grassland in the entire sown area under private
ownership.
description: Datasets: 
DS0: Study-Level Files
DS1: Province Level
DS2: District Level
description: The codebook is provided by ICPSR as a Portable Document Format (PDF)
 file. The PDF file format was developed by Adobe Systems Incorporated
 and can be accessed using PDF reader software, such as the Adobe
 Acrobat Reader. Information on how to obtain a copy of the Acrobat
Reader is provided on the ICPSR Web site.
DOI: 10.6084/m9.figshare.29424524
title: Executable Power: Syntax as Infrastructure in Predictive Societies

description: This article introduces the concept of executable power as a structural form of authority that does not rely on subjects, narratives, or symbolic legitimacy, but on the direct operativity of syntactic structures. Defined as a production rule whose activation triggers an irreversible material action—formalized by deterministic grammars (e.g., Linear Temporal Logic, LTL) or by execution conditions in smart contract languages such as Solidity via require clauses—executable power is examined through a multi-case study (N = 3) involving large language models (LLMs), transaction automation protocols (TAP), and smart contracts. Case selection was based on functional variability and execution context, with each system constituting a unit of analysis. One instance includes automated contracts that freeze assets upon matching a predefined syntactic pattern; another involves LLMs issuing executable commands embedded in structured prompts; a third examines TAP systems enforcing transaction thresholds without human intervention. These systems form an infrastructure of control, operating through logical triggers that bypass interpretation. Empirically, all three exhibited a 100 % execution rate under formal trigger conditions, with average response latency at 0.63 ± 0.17 seconds and no recorded human override in controlled environments. This non-narrative modality of power, grounded in executable syntax, marks an epistemological rupture with classical domination theories (Arendt, Foucault) and diverges from normative or deliberative models. The article incorporates recent literature on infrastructural governance and executional authority (Pasquale, 2023; Rouvroy, 2024; Chen et al., 2025) and references empirical audits of smart-contract vulnerabilities (e.g., Nakamoto Labs, 2025), as well as recent studies on instruction-following in LLMs (Singh & Alvarado, 2025), to expose both operational potential and epistemic risks. The proposed verification methodology is falsifiable, specifying outcome-based metrics—such as execution latency, trigger-response integrity, and intervention rate—with formal verification thresholds (e.g., execution rate below 95 % under standard trigger sequences) subject to model checking and replicable error quantification.<b>DOI:</b> https://doi.org/10.5281/zenodo.15754714This work is also published with DOI reference in <b>Figshare</b> https://doi.org/10.6084/m9.figshare.29424524 and <b>Pending SSRN ID to be assigned. ETA: Q3 2025.</b>
DOI: 10.6084/m9.figshare.29424524.v1
title: Executable Power: Syntax as Infrastructure in Predictive Societies

description: This article introduces the concept of executable power as a structural form of authority that does not rely on subjects, narratives, or symbolic legitimacy, but on the direct operativity of syntactic structures. Defined as a production rule whose activation triggers an irreversible material action—formalized by deterministic grammars (e.g., Linear Temporal Logic, LTL) or by execution conditions in smart contract languages such as Solidity via require clauses—executable power is examined through a multi-case study (N = 3) involving large language models (LLMs), transaction automation protocols (TAP), and smart contracts. Case selection was based on functional variability and execution context, with each system constituting a unit of analysis. One instance includes automated contracts that freeze assets upon matching a predefined syntactic pattern; another involves LLMs issuing executable commands embedded in structured prompts; a third examines TAP systems enforcing transaction thresholds without human intervention. These systems form an infrastructure of control, operating through logical triggers that bypass interpretation. Empirically, all three exhibited a 100 % execution rate under formal trigger conditions, with average response latency at 0.63 ± 0.17 seconds and no recorded human override in controlled environments. This non-narrative modality of power, grounded in executable syntax, marks an epistemological rupture with classical domination theories (Arendt, Foucault) and diverges from normative or deliberative models. The article incorporates recent literature on infrastructural governance and executional authority (Pasquale, 2023; Rouvroy, 2024; Chen et al., 2025) and references empirical audits of smart-contract vulnerabilities (e.g., Nakamoto Labs, 2025), as well as recent studies on instruction-following in LLMs (Singh & Alvarado, 2025), to expose both operational potential and epistemic risks. The proposed verification methodology is falsifiable, specifying outcome-based metrics—such as execution latency, trigger-response integrity, and intervention rate—with formal verification thresholds (e.g., execution rate below 95 % under standard trigger sequences) subject to model checking and replicable error quantification.<b>DOI:</b> https://doi.org/10.5281/zenodo.15754714This work is also published with DOI reference in <b>Figshare</b> https://doi.org/10.6084/m9.figshare.29424524 and <b>Pending SSRN ID to be assigned. ETA: Q3 2025.</b>
DOI: 10.6084/m9.figshare.29428214
title: Blended data: vaccine position and stigma

description: All authentic and synthetic data and annotations for vaccine position and stigma within the dataset for detecting vaccine positions and vaccine-related stigma on social media. The data is structured as follows:<br>Data ID: A unique identifier assigned to each record in the dataset. Identifiers beginning with ‘1-‘ are applied to authentic tweets; those beginning with ‘2-‘ refer to synthetic tweets.Authentic Tweet ID: A unique identifier assigned to each tweet by Twitter. As the paraphrases do not have unique Twitter IDs, this column instead presents the ID of the authentic tweet from which the paraphrase was generated.Tweet Paraphrase: The text presented in each paraphrase. In keeping with big data ethics, the text of the authentic tweets is not presented. Authentic tweets listed in the blended dataset present ‘N/A’ in this column as they are not paraphrases.Vaccine Position Class: Lists the annotation codes 0 (‘Pro-Vaxx’), 1 (‘Anti-Vaxx’), and 2 (‘Vaccine Hesitant’).Stigma Class: Lists the annotation codes 3 (‘Stigma’) and 4 (‘No Stigma’).Using the Twitter API and the tweet IDs, researchers can obtain access to the authentic tweets' text data provided that these have not been deleted or otherwise made unavailable.
DOI: 10.6084/m9.figshare.29428214.v1
title: Blended data: vaccine position and stigma

description: All authentic and synthetic data and annotations for vaccine position and stigma within the dataset for detecting vaccine positions and vaccine-related stigma on social media. The data is structured as follows:<br>Data ID: A unique identifier assigned to each record in the dataset. Identifiers beginning with ‘1-‘ are applied to authentic tweets; those beginning with ‘2-‘ refer to synthetic tweets.Authentic Tweet ID: A unique identifier assigned to each tweet by Twitter. As the paraphrases do not have unique Twitter IDs, this column instead presents the ID of the authentic tweet from which the paraphrase was generated.Tweet Paraphrase: The text presented in each paraphrase. In keeping with big data ethics, the text of the authentic tweets is not presented. Authentic tweets listed in the blended dataset present ‘N/A’ in this column as they are not paraphrases.Vaccine Position Class: Lists the annotation codes 0 (‘Pro-Vaxx’), 1 (‘Anti-Vaxx’), and 2 (‘Vaccine Hesitant’).Stigma Class: Lists the annotation codes 3 (‘Stigma’) and 4 (‘No Stigma’).Using the Twitter API and the tweet IDs, researchers can obtain access to the authentic tweets' text data provided that these have not been deleted or otherwise made unavailable.
DOI: 10.3886/icpsr08278.v1
title: Effects of Determinant Sentencing on Institutional Climate and Prison Administration: Connecticut, Minnesota, Illinois, 1981-1983
title: Version 1

description: This data collection examines the effects of determinant
 sentencing on prison climate and administration. Three data collection
 periods are covered in the dataset. Parts 1-3 contain data taken from
 a total random sample of offenders housed at five prisons over all
 three data collection periods. Part 4 is an additional sample from the
 state of Connecticut of inmates serving determinate sentences,
 collected during the third period of data collection. Parts 5 and 6
 comprise indeterminate sample data from all three data collection
 periods, while Parts 7-9 contain determinate panel sample data from
 all three collection periods. There were six questionnaires used in
 collecting these data, covering inmates' feelings about their arrest,
 court case, and conviction, their feelings about the law, physical
 problems developed during their prison term, how their time was spent
 in prison, family contacts outside prison, relationships with other
 prisoners and guards, involvement in prison programs, and criminal
history.
description: Datasets: 
DS0: Study-Level Files
DS1: Random Sample at First Collection Period
DS2: Random Sample at Second Collection Period
DS3: Random Sample at Third Collection Period
DS4: Additional Sample from Connecticut Collected at Third Collection Period
DS5: Indeterminate Panel Sample from Collection Periods One and Two
DS6: Indeterminate Panel Sample from Collection Period Three
DS7: Determinate Panel from Collection Period One
DS8: Determinate Panel from Collection Period Two
DS9: Determinate Panel from Collection Period Three
DOI: 10.15468/dl.revxm4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Abelmoschus moschatus",
 "Country is Palau",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072254-250525065834625/datasets/export for details.
DOI: 10.15468/dl.bbgdde
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Abelmoschus moschatus",
 "Country is Niue",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072253-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.29427047
title: Code used for data analyses: Sexual dimorphism in <i>Desmodus rotundus</i>

description: All code used for data analysis and visualization in this study (Sexual dimorphism in <i>Desmodus rotundus</i>). The scripts were written in R (version 4.4.2 (2024-10-31 ucrt) and include data preprocessing, statistical analyses, and generation of figures related to sexual dimorphism in <i>Desmodus rotundus</i>. Detailed documentation and comments are provided to facilitate reproducibility and reuse.
DOI: 10.6084/m9.figshare.29427047.v1
title: Code used for data analyses: Sexual dimorphism in <i>Desmodus rotundus</i>

description: All code used for data analysis and visualization in this study (Sexual dimorphism in <i>Desmodus rotundus</i>). The scripts were written in R (version 4.4.2 (2024-10-31 ucrt) and include data preprocessing, statistical analyses, and generation of figures related to sexual dimorphism in <i>Desmodus rotundus</i>. Detailed documentation and comments are provided to facilitate reproducibility and reuse.
DOI: 10.15468/dl.ndhcge
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Abelmoschus moschatus",
 "Country is Marshall Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072252-250525065834625/datasets/export for details.