cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17701062
title: A simple automated Soil Moisture Monitor for a Single Garden Bed

description: This project aims to design and implement a simple, low-cost automated system for monitoring and managing the soil moisture of a single garden bed. The project's core objective is to move beyond manual inspection by leveraging the capabilities of the ESP32 microcontroller, focusing on both local alerts and remote data access. The system utilizes a standard Soil Moisture Sensor to continuously measure the soil's volumetric water content. The ESP32 processes this reading, converts it into a meaningful moisture percentage, and compares it against pre-defined optimal thresholds. Critically, the ESP32's integrated Wi-Fi module enables Internet of Things (IoT) functionality, allowing the system to send real-time alerts to the user's mobile device when the soil moisture drops below a critical level. Additionally, the data can be logged to a cloud service for remote monitoring and historical analysis. This prototype demonstrates a practical, accessible application of microcontrollers in precision small-scale gardening, leading to optimized water usage, reduced effort, and enhanced plant health.
DOI: 10.15468/dl.avba6q
title: Occurrence Download

description: A dataset containing 1666 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Swietenia mahagoni",
 "HasCoordinate is true",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 1666 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020773-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/dz80h8
title: PAN-00130691 - eye brooch variant C1

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00130691&lt;/p&gt;
description: Modified: 2025-04-29T11:44:27+02:00
DOI: 10.15468/dl.mdcxa5
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Bats of southern Vietnam",
 "TaxonKey is Hipposideros galeritus"
 ]
}

 The dataset includes 19 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020775-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uqy55j
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-116.1764 35.84589, -116.176 35.84611, -116.1757 35.84633, -116.1753 35.84658, -116.175 35.84684, -116.1747 35.84711, -116.1744 35.8474, -116.1741 35.84769, -116.1738 35.848, -116.1736 35.84832, -116.1733 35.84865, -116.1731 35.84899, -116.173 35.84934, -116.1728 35.84969, -116.1727 35.85005, -116.1726 35.85042, -116.1725 35.85079, -116.1724 35.85116, -116.1724 35.85153, -116.1723 35.85191, -116.1724 35.85229, -116.1724 35.85266, -116.1724 35.85303, -116.1725 35.85341, -116.1726 35.85377, -116.1727 35.85414, -116.1729 35.85449, -116.1731 35.85484, -116.1733 35.85518, -116.1735 35.85552, -116.1737 35.85584, -116.174 35.85616, -116.1742 35.85646, -116.1745 35.85675, -116.1748 35.85703, -116.1752 35.85729, -116.1772 35.85884, -116.1775 35.85909, -116.1779 35.85933, -116.1783 35.85955, -116.1787 35.85975, -116.1791 35.85994, -116.1795 35.86011, -116.1799 35.86026, -116.1803 35.8604, -116.1808 35.86051, -116.1812 35.86061, -116.1817 35.86069, -116.1821 35.86076, -116.1826 35.8608, -116.183 35.86082, -116.1835 35.86082, -116.184 35.86081, -116.1844 35.86077, -116.1849 35.86072, -116.1853 35.86065, -116.1858 35.86056, -116.1862 35.86045, -116.1867 35.86032, -116.1871 35.86017, -116.1875 35.86001, -116.1906 35.8587, -116.191 35.85852, -116.1914 35.85832, -116.1918 35.8581, -116.1922 35.85787, -116.1925 35.85763, -116.1928 35.85737, -116.1932 35.85709, -116.1935 35.85681, -116.1937 35.85651, -116.194 35.85619, -116.1943 35.85587, -116.1945 35.85554, -116.1947 35.8552, -116.1949 35.85485, -116.195 35.8545, -116.1951 35.85414, -116.1952 35.85377, -116.1953 35.8534, -116.1954 35.85303, -116.1954 35.85265, -116.1955 35.85227, -116.1954 35.8519, -116.1954 35.85152, -116.1953 35.85115, -116.1953 35.85077, -116.1952 35.85041, -116.195 35.85004, -116.1949 35.84969, -116.1947 35.84934, -116.1936 35.84722, -116.1934 35.84687, -116.1932 35.84653, -116.1929 35.8462, -116.1926 35.84588, -116.1924 35.84558, -116.1921 35.84528, -116.1917 35.845, -116.1914 35.84474, -116.191 35.84449, -116.1907 35.84425, -116.1903 35.84403, -116.1899 35.84383, -116.1894 35.84364, -116.189 35.84348, -116.1886 35.84333, -116.1881 35.8432, -116.1877 35.84309, -116.1872 35.843, -116.1868 35.84293, -116.1863 35.84287, -116.1858 35.84284, -116.1853 35.84283, -116.1849 35.84284, -116.1844 35.84287, -116.1839 35.84292, -116.1835 35.84299, -116.183 35.84308, -116.1826 35.84319, -116.1821 35.84332, -116.1817 35.84347, -116.1812 35.84363, -116.1808 35.84381, -116.1768 35.84569, -116.1764 35.84589))",
 "Year is greater than or equal to 2001",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020774-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.17674500
title: PeopleCount in Odysseus Project

description: Dataset
DOI: 10.5281/zenodo.17780531
title: Recording of electrical activity of the moss Brachythecium rutabulum

description: Recording of electrical activity of the moss Brachythecium rutabulum
DOI: 10.5281/zenodo.17780530
title: Recording of electrical activity of the moss Brachythecium rutabulum

description: Recording of electrical activity of the moss Brachythecium rutabulum
DOI: 10.7910/dvn/nshorx
title: Replication Data for: Democratic Transitions and International Conflict

description: Replication materials for Boldt (2025) Democratic Transitions and International Conflict
DOI: 10.17026/ar/whs0sk
title: PAN-00170412 - Roman ceramic gaming piece

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00170412&lt;/p&gt;
description: Modified: 2025-04-26T11:45:52+02:00
DOI: 10.15468/dl.8dd8x4
title: Occurrence Download

description: A dataset containing 264595 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 39.085278",
 "DecimalLatitude is less than or equal to 44.085278",
 "DecimalLongitude is greater than or equal to 15.0",
 "DecimalLongitude is less than or equal to 20.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 264595 records from 199 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020743-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rn3wd9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-118.5963 34.86779, -118.5959 34.86795, -118.5955 34.86812, -118.5951 34.86832, -118.5947 34.86853, -118.5943 34.86876, -118.5939 34.869, -118.5936 34.86926, -118.5932 34.86954, -118.5929 34.86983, -118.5926 34.87013, -118.5923 34.87045, -118.5921 34.87078, -118.5918 34.87112, -118.5916 34.87147, -118.5914 34.87182, -118.5913 34.87219, -118.5911 34.87256, -118.591 34.87294, -118.5909 34.87332, -118.5908 34.87371, -118.5908 34.8741, -118.5908 34.87449, -118.5908 34.87488, -118.5909 34.87766, -118.5909 34.87804, -118.591 34.87842, -118.591 34.8788, -118.5911 34.87917, -118.5913 34.87953, -118.5914 34.8799, -118.5916 34.88025, -118.5918 34.8806, -118.592 34.88094, -118.5922 34.88127, -118.5925 34.88159, -118.5927 34.88189, -118.593 34.88219, -118.5933 34.88247, -118.5937 34.88274, -118.594 34.883, -118.5944 34.88324, -118.5947 34.88346, -118.5951 34.88367, -118.5955 34.88386, -118.596 34.88404, -118.5964 34.88419, -118.5968 34.88433, -118.5972 34.88445, -118.5977 34.88455, -118.5981 34.88463, -118.5986 34.8847, -118.6004 34.8849, -118.6036 34.88529, -118.604 34.88533, -118.6045 34.88536, -118.605 34.88537, -118.6055 34.88535, -118.6059 34.88532, -118.6064 34.88526, -118.6068 34.88519, -118.6073 34.8851, -118.6078 34.88498, -118.6082 34.88485, -118.6086 34.8847, -118.6091 34.88453, -118.6095 34.88434, -118.6099 34.88414, -118.6102 34.88391, -118.6106 34.88367, -118.611 34.88342, -118.6113 34.88315, -118.6116 34.88287, -118.6119 34.88257, -118.6122 34.88226, -118.6125 34.88194, -118.6127 34.88161, -118.6129 34.88127, -118.6131 34.88092, -118.6133 34.88056, -118.6135 34.8802, -118.6136 34.87983, -118.6137 34.87945, -118.6138 34.87907, -118.6138 34.87869, -118.6139 34.8783, -118.6139 34.87792, -118.6139 34.87753, -118.6136 34.87389, -118.6135 34.8735, -118.6135 34.87312, -118.6134 34.87274, -118.6133 34.87237, -118.6131 34.872, -118.613 34.87164, -118.6128 34.87128, -118.6126 34.87094, -118.6123 34.8706, -118.6121 34.87027, -118.6118 34.86996, -118.6115 34.86966, -118.6112 34.86937, -118.6109 34.86909, -118.6105 34.86883, -118.6102 34.86858, -118.6098 34.86835, -118.6094 34.86813, -118.609 34.86793, -118.6086 34.86775, -118.6082 34.86759, -118.6077 34.86745, -118.6073 34.86732, -118.6069 34.86722, -118.6064 34.86713, -118.6039 34.86672, -118.6034 34.86665, -118.603 34.8666, -118.6025 34.86657, -118.602 34.86657, -118.6015 34.86659, -118.601 34.86662, -118.6006 34.86668, -118.6001 34.86676, -118.5996 34.86686, -118.5992 34.86697, -118.5968 34.86765, -118.5963 34.86779))",
 "Year is greater than or equal to 2001",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020776-251120083545085/datasets/export for details.
DOI: 10.15468/dl.qzwxwk
title: Occurrence Download

description: A dataset containing 289 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is UKR.11_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Coloeus monedula",
 "Year 2023-2025"
 ]
}

 The dataset includes 289 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020777-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17780203
title: Hydrological time-series (1935–1980) of the Volturno River: groundwater level and hydrometric database

description: This dataset provides a digitized and standardized collection of hydrological and hydrogeological time-series data from the Volturno River coastal plain (Campania, Southern Italy). 

The data were originally published in printed hydrological bulletins by the Servizio Idrografico Italiano (1935–1980), available only as scanned PDF documents. In this format, the information was not immediately suitable for comparative analysis, time-series evaluation, or hydrological modelling. To enable scientific reuse, the datasets were digitized from the official series Dati caratteristici dei corsi d’acqua italiani (Publication No. 17, Stralcio II–VI, Campania region), issued by the Servizio Idrografico Italiano of the Ministry of Public Works.

Through a systematic process of manual transcription, formatting, and quality control, the historical tables were converted into standardized Excel files. This workflow ensures data accessibility, reproducibility, and consistency, supporting long-term preservation and modern analytical applications.

The dataset consists of a primary data collections:

1.           Groundwater level dataset (1927–1980)

Time-series measurements of groundwater level depths recorded at several monitoring stations located across the Volturno River coastal plain. These records are useful for analyzing seasonal, annual and multi-decadal fluctuations of the shallow aquifer system.

File name:

·        Groundwater level - annual data (.csv)

 

2.           Hydrometric levels dataset (1927–1980)

Systematic measurements of river water level (stage) taken at different hydrometric stations along the Volturno River along the Campanian Plain from Capua city to the river mouth. These data support studies related to fluvial hydrology, flood dynamics and hydrological regime variability.

File name: 

·        Hydrometric Data - monthly and annual mean water levels (.csv)

 

3.           Measurement of river discharge dataset (1931–1980)

Volturno river discharge data (m³/s) collected at the Cancello Arnone gauging station, essential for hydrological modeling, water balance assessments and the evaluation of hydrological response to climatic and land-use variations.

File name: 

·        Volturno River Discharge – Cancello Arnone station (.csv)

The dataset also includes a .csv file containing the coordinates of the main monitoring stations.

File name:

·        Piezometric station coordinates – Volturno Plain (.csv)

All datasets have been structured to allow time-series analysis, comparative evaluation between stations, and potential integration into GIS systems and hydrological models. Variable names, units and table formats have been standardized to support interoperability and reuse.
DOI: 10.5281/zenodo.17780202
title: Hydrological time-series (1935–1980) of the Volturno River: groundwater level and hydrometric database

description: This dataset provides a digitized and standardized collection of hydrological and hydrogeological time-series data from the Volturno River coastal plain (Campania, Southern Italy). 

The data were originally published in printed hydrological bulletins by the Servizio Idrografico Italiano (1935–1980), available only as scanned PDF documents. In this format, the information was not immediately suitable for comparative analysis, time-series evaluation, or hydrological modelling. To enable scientific reuse, the datasets were digitized from the official series Dati caratteristici dei corsi d’acqua italiani (Publication No. 17, Stralcio II–VI, Campania region), issued by the Servizio Idrografico Italiano of the Ministry of Public Works.

Through a systematic process of manual transcription, formatting, and quality control, the historical tables were converted into standardized Excel files. This workflow ensures data accessibility, reproducibility, and consistency, supporting long-term preservation and modern analytical applications.

The dataset consists of a primary data collections:

1.           Groundwater level dataset (1927–1980)

Time-series measurements of groundwater level depths recorded at several monitoring stations located across the Volturno River coastal plain. These records are useful for analyzing seasonal, annual and multi-decadal fluctuations of the shallow aquifer system.

File name:

·        Groundwater level - annual data (.csv)

 

2.           Hydrometric levels dataset (1927–1980)

Systematic measurements of river water level (stage) taken at different hydrometric stations along the Volturno River along the Campanian Plain from Capua city to the river mouth. These data support studies related to fluvial hydrology, flood dynamics and hydrological regime variability.

File name: 

·        Hydrometric Data - monthly and annual mean water levels (.csv)

 

3.           Measurement of river discharge dataset (1931–1980)

Volturno river discharge data (m³/s) collected at the Cancello Arnone gauging station, essential for hydrological modeling, water balance assessments and the evaluation of hydrological response to climatic and land-use variations.

File name: 

·        Volturno River Discharge – Cancello Arnone station (.csv)

The dataset also includes a .csv file containing the coordinates of the main monitoring stations.

File name:

·        Piezometric station coordinates – Volturno Plain (.csv)

All datasets have been structured to allow time-series analysis, comparative evaluation between stations, and potential integration into GIS systems and hydrological models. Variable names, units and table formats have been standardized to support interoperability and reuse.
DOI: 10.6073/pasta/ad196683338dd1d415f000c7a0d0a89e
title: Summertime methane and carbon dioxide emission rates and associated variables from a national-scale survey of 146 reservoirs in the United States, 2016-2023

description: Reservoirs are globally important sources of greenhouse gases, but the magnitude of their emissions is highly uncertain. Here we present data for 146 reservoirs from two surveys of reservoir methane and carbon dioxide emissions, one at the regional scale in the midwestern United States and one at the national scale in the conterminous United States, plus data from one reservoir in Washington and another in Puerto Rico. At all reservoirs, ebullitive and diffusive emissions and basic physiochemistry were measured at 15-70 locations during one 22 to 64-hour period during the summers of 2016-2023, with four reservoirs revisited a second time. Concomitant water chemistry measurements were also made at an index site. The dataset is comprised of two geospatial files and seven .csv files containing greenhouse gas emissions, water chemistry, morphology, and other relevant data. These data comprise the largest multi-reservoir emissions dataset ever assembled using consistent measurement methods.
DOI: 10.7910/dvn/bx224m
title: Replication Data for: Assessing the cohesion of climate change coalitions: how to account for identity-related aspects?

description: Presented dataset is a replication file for the research aimed on assessing the cohesion of climate change coalitions using LT-LEDS as data and quantitative semantic similarity as methodology.
The file represents a json-object with following items:
1. "Country": the list of countries under the analysis;
2. "text": the list of texts of respective countries' LT-LEDS;
3. "text_no_nert": the list of texts of respective countries' LT-LEDS with Location and GPE masked;
4. "texts_chunked': the list of lists of texts_no_ner chunks. Each chunk was generated with sliding window of 1,000 charachters and 500 overlap;
5. "chunks_embeddings": the list of lists of vectorized texets_chunks;
6. "text_vector": the list of LT-LEDS texts' vectors for each country. With named enitites being replaced;
7. "language": the list of languages of the initial text;
8. "X": the list of corrected language bias vectors using the substraction of centroid;
9. "vectors_INLP": the list of corrected language bias vectors using the INLP;
10. "vectors_PCA": the list of corrected language bias vectors using the PCA;
11. "texts_chunked_with_ner": the list of lists of texts chunks. Each chunk was generated with sliding window of 1,000 charachters and 500 overlap;
12. "chunks_embeddings_with_ner": the list of lists of vectorized texts_chunks_with_ner;
13. "text_vector_with_ner": the list of LT-LEDS texts' vectors for each country. With named entities;
14. "X_with_ner": the list of of corrected language bias vectors using the substraction of centroid.
DOI: 10.15468/dl.w4jwek
title: Occurrence Download

description: A dataset containing 595 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mustela putorius",
 "HasCoordinate is true",
 "Year is greater than or equal to 2015",
 "DecimalLatitude is greater than or equal to 40",
 "DecimalLatitude is less than or equal to 44",
 "DecimalLongitude is greater than or equal to -1",
 "DecimalLongitude is less than or equal to 4"
 ]
}

 The dataset includes 595 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020778-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc11gksv
title: CCDC 967317: Experimental Crystal Structure Determination

description: Related Article: M. Mustafa Cetin, David B. Cordes, Michael F. Mayer|2024|CSD Communication|||
description: Related Article: M. Mustafa Cetin, Arindam Mazumdar, David B. Cordes, Vahap Gazi Fidan, Zhen Yang, Michael F. Mayer|2025|RSC Advances|15|47117|doi:10.1039/d5ra07142a
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: 10.5281/zenodo.17064281
title: The Efficacy of Achatina fulica Snail Slime Cream as Photoprotector  in Sunburn Model Mice

description: Data set of our research.
DOI: 10.5281/zenodo.17780523
title: The Efficacy of Achatina fulica Snail Slime Cream as Photoprotector  in Sunburn Model Mice

description: Data set of our research.
DOI: 10.7910/dvn/h1q0hm
title: Replication Data for: Apprenticeships in the United States: Emerging Opportunities and Evidence Gaps

description: Replication data for the Policy Insights brief "Apprenticeships in the United States: Emerging Opportunities and Evidence Gaps."
DOI: 10.6073/pasta/b2299c0d9804a662d6038923119b00c4
title: Greenhouse gas depth-profile data in 522 lakes worldwide

description: Lakes, ponds, and reservoirs (hereafter: “lakes”) are significant sources of the greenhouse gases carbon dioxide (CO2) and methane (CH4). Emissions of CO2 and CH4 from lakes are regulated in part by in-lake processes, including the production and storage of gases in the lower parts of the water column (bottom waters). However, while substantial efforts have been made to improve estimates of greenhouse gas emissions from lakes, limited data on gas concentrations along depth profiles have prevented the incorporation of bottom-water processes in global emission estimates. Here, we compiled the largest existing database of depth-profile CO2 and CH4 measurements worldwide, including 522 lakes across 38 countries and all seven continents. These data include contributions from 45 research teams and 57 published studies, totaling 2558 discrete sampling events. As global change continues to alter biogeochemical cycling in lakes, these data will help improve mechanistic models to better predict greenhouse gas production and emission from lakes worldwide.
DOI: 10.15468/dl.9gda4b
title: Occurrence Download

description: A dataset containing 415 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-463099.0",
 "DatasetKey is one of (Banco de Datos de la Biodiversidad de la Comunitat Valenciana, CSIC-Real Jardín Botánico-Anthos. Sistema de Información de las Plantas de España, Colección de plantas vasculares del herbario de la Universitat de València (VAL))",
 "Geometry POLYGON((3.7998 42.44669,-2.25084 43.71934,-9.4632 43.99856,-9.4632 42.08849,-6.6073 41.98063,-7.38178 37.20958,-5.54239 35.96589,-1.37955 36.66793,0.65347 38.5846,3.7998 42.44669))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Senecio angulatus"
 ]
}

 The dataset includes 415 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020779-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.